Memo of no more than 1,050 words
The Financial Impact of Human Resource Management Activities
Questions This Chapter Will Help Managers Answer
1. Can behavior costing help improve our business?
2. If I want to know how much money employee turnover is costing us each year, what factors should I consider?
3. How do employees' attitudes relate to customer satisfaction and revenue growth?
4. What's the business case for work-life programs?
5. Is there evidence that high-performance work policies are associated with improved financial performance?
LINKING WORKER BELIEFS TO INCREASED PRODUCTIVITY AND PROFITABILITY
Source: Harter, J. K., Schmidt, F. L., & Hayes, T. L. (2002). Business-unit-level relationship between employee satisfaction, employee engagement, and business outcomes: A meta-analysis. Journal of Applied Psychology, 87, 268-279. Micco, L. (1998, Sept.). Gallup study links worker beliefs, increased productivity. HR News, p. 16.
Human Resource Management in Action
An in-depth study by The Gallup Organization, the Princeton, New Jersey—based polling and research firm, identified 12 worker beliefs (measures of employee satisfaction-engagement) that play the biggest role in triggering a profitable, productive workplace. Its multiyear study was based on an analysis of data from more than 100,000 employees in 12 industries. A subsequent meta-analysis (quantitative cumulation of research results across studies) included data from almost 8,000 business units in 36 companies.
Analysis showed a consistent, reliable relationship between the 12 beliefs and outcomes such as profits, productivity, employee retention, and customer loyalty. For example, work groups that have these positive attitudes are 50 percent more likely to achieve customer loyalty and 44 percent more likely to produce above-average profitability.
At the level of the business unit, those in the top quartile on employee engagement had, on average, from $80,000 to $120,000 higher monthly revenues or sales than those in the bottom quartile. Even an $80,000 difference per month per business unit translates into $960,000 per year per business unit.
Gallup analyzed employee data to determine how well the respondents' organizations support the 12 employee statements. Organizations whose support of the statements ranked in the top 25 percent averaged 24 percent higher profitability, 29 percent higher revenue, and 10 percent lower employee turnover than those that scored lowest on the statements. Here are the 12 basic belief statements that underlie the most important worker attitudes:
1. I know what is expected of me at work.
2. I have the materials and equipment I need to do my work right.
3. At work I have the opportunity to do what I do best every day.
4. In the last seven days I have received recognition or praise for doing good work.
5. My supervisor, or someone at work, seems to care about me as a person.
6. There is someone at work who encourages my development.
7. In the last six months someone at work has talked to me about my progress.
8. At work, my opinions seem to count.
9. The mission/purpose of my company makes me feel my job is important.
10. My fellow employees are committed to doing quality work.
11. I have a best friend at work.
12. This last year I have had opportunities at work to learn and grow.
According to Curt Coffman, a Gallup senior vice president and workplace consultant, the best news is that the 12 beliefs can be coaxed forth with good management techniques. “These are all something that we can really do something about. Unlike pay issues, which most managers and workers have no control over, every individual team member can do something to help create these beliefs.”
For instance, consider belief number 4. Although it requires long-term commitment, managers can deliver on this, at very little cost. Belief number 7 is even less time consuming. Interestingly, researchers found significant variances between work groups or operating units within the same company. “What becomes clear from this investigation is that while we tend to celebrate great companies, in reality there are only great managers,” Coffman said. In fact, it is on the front line that the hard work of building a stronger workplace gets done. Gallup has studied thousands of great managers and has identified the key behaviors that the best managers seem to share in helping to trigger these beliefs. In the conclusion to this chapter-opening vignette, we will consider what these key behaviors might be.
Challenges
1. What kinds of organizational policies might help to support these beliefs?
2. What can a manager do in his or her everyday behavior to encourage these beliefs?
3. Why is it that work groups that hold these beliefs are 50 percent more likely to achieve customer loyalty? What might be the link?
In business settings, it is hard to be convincing without data. If the data are developed systematically and comprehensively and are analyzed in terms of their strategic implications for the business or business unit, they are more convincing. The chapter-opening vignette demonstrates how the beliefs of workers on 12 issues affect company profitability and turnover. In this chapter we will examine methods used to assess the costs and benefits of HR activities in six key areas: high-performance work practices, employee attitudes, absenteeism, turnover, work-life programs, and training.
As emphasized earlier, the focus of this book is not on training HR specialists. Rather, it is on training line managers who must, by the very nature of their jobs, manage people and work with them to accomplish organizational objectives. Consequently, the purpose of this chapter is not to show how to measure the effectiveness of the HR department; the purpose is to show how to assess the costs and benefits of relevant HR activities. The methods can and should be used in cooperation with the HR department, but they are not the exclusive domain of that department. They are general enough to be used by any manager in any department to measure the costs and benefits of employee behavior.
This is not to imply that dollars are the only barometer of the effectiveness of HR activities. The payoffs from some activities, such as managing diversity and providing child care, must be viewed in a broader social context. Furthermore, the firm's strategy and goals must guide the work of each business unit and of that unit's HR management activities. For example, to emphasize its outreach efforts to the disadvantaged, a firm might adopt a conscious strategy of training workers for entry-level jobs, while selecting workers who already have the skills to perform higher-level jobs. To make the most effective use of the information that follows, keep these points in mind. Let's begin by addressing a fundamental question, namely, what should we measure?
FOUNDATIONS OF WORKFORCE MEASUREMENT: HUMAN CAPITAL METRICS
Do you find it surprising that the market capitalization of Microsoft, that is, the price per share times the number of shares outstanding, was about $300 billion (U.S.) in late 2004, while the total value of its tangible, physical assets, such as computers, buildings, and infrastructure, was only about $20 billion? The $280 billion (U.S.) difference lies in its intangible assets, such as brand equity and human talent, sometimes referred to as human capital, which includes the quality of management and the knowledge, skills, and abilities of its employees to solve problems that customers think are important. Indeed, the new economic paradigm that emphasizes speed, innovation, cycle time, quality, and customer satisfaction makes the relevance and importance of intangible assets even more significant.
From the perspective of managers, the overarching question is this: “How does my organization create value from its human capital?” The answer does not lie in traditional, transaction-based measures of human resources activities, such as the number of tests administered, the number of insurance claims processed, or the number of employee suggestions made. Such measures show only that the HR department has been busy; they do not indicate in any way that it has been effective.
So the most fundamental question is, “What should we measure?” Surely it does no good, and in fact it may harm the credibility of the HR department, to collect information about HR initiatives that senior managers do not care about. The answer to the question, “What should we measure?” is simple: “What's important?” That is, measure outcomes that really matter, especially those where the behavior of employees makes a difference. In short, to demonstrate its strategic contribution to senior managers, HR needs a measurement system that focuses on two dimensions:
· Cost control—driving out costs in the HR function and enhancing operational efficiency outside of HR.
· Value creation—ensuring that the HR architecture1—the continuum from HR professionals within the HR function, to the system of HR-related policies and practices, through the competencies, motivations, and associated behaviors of the firm's employees-intersects with the process of implementing strategy in the organization.
KEY REQUIREMENTS OF HUMAN CAPITAL (OR HR) METRICS
Four elements are necessary for enhanced human capital metrics or measurement:2
· Evidence—to establish that the effects of HR are indeed significant enough to merit intensive measurement and study.
· Explanation—to provide a logical reason to suggest why and how human resources create their significant effects on organizations.
· Purpose—the goals of measurement systems must consider the effects of measures on key stakeholders within and outside the organization.
· Method—a model and framework to support developing better HR measures.
To be most useful, HR metrics should focus on outcomes that are directly relevant to the strategic objectives of a business. They should guide decisions about employees and programs, and they should be expressed in language that key decision makers find meaningful. Our objectives, therefore, are to develop a set of HR measures that indicate clearly how people create value. In the language of corporate finance, they do so in at least three different ways:3
1. By enhancing return—that is, the expected performance in a position, as defined by a competency model. Firms do this by selecting for specific skills and by training for specific skills.
2. By reducing risk—by lowering the variability in performance, and by reducing or eliminating factors that might derail performance. Firms use selection methods to screen out counterproductive behaviors and employee assistance programs to help troubled employees, and they implement policies and controls to ensure compliance with employment laws.
3. By increasing liquidity—that is, improving the flexibility to adapt to changing business needs. Firms do this by providing training in transferable skills, by selecting for skills that are not task specific (e.g., organizational citizenship behaviors), and by selecting people based on their adaptability and ability to learn.
Let us begin our treatment by examining the financial impact of high-performance work practices on organizational outcomes. We will present two macro-level assessments of the financial impact of high-performance work practices, one focusing on organizational culture and the other on how HR factors affect the probability of survival of initial public offerings (IPOs). The focus will be on methods and outcomes rather than on alternative HR management approaches that might be used to reduce costs or increase profits in each area. (We discuss such approaches elsewhere in the book.)
THE FINANCIAL IMPACT OF HIGH-PERFORMANCE WORK PRACTICES
In an effort to enhance their competitiveness, some firms have instituted high-performance work practices. At a general level, such practices include the following five features:4
· Pushing responsibility down to employees operating in flatter organizations.
· Increasing the emphasis on line managers as HR managers.
· Instilling learning as a priority in all organizational systems.
· Decentralizing decision making to autonomous units and employees.
· Linking performance measures for employees to financial performance indicators.
If managers are to be able to argue forcefully for greater investments in people, they must be able to demonstrate that the benefits of implementing such practices outweigh the costs. That is, they must provide evidence of the effectiveness of these practices. Do they pay off?
High-Performance Work Practices and Organizational Performance
A substantial amount of research has been conducted on the relationship between productivity and high-performance work practices, such as the use of valid staffing procedures, organizational cultures that emphasize team orientation and respect for people, employee involvement in decision making, compensation linked to firm or worker performance, and training. The evidence indicates that such practices are usually associated with increases in productivity (defined as output per worker), as well as with a firm's long-term financial performance.5 However, these effects are most pronounced when such work practices are implemented together as a system.6 As an example, let us consider the impact of organizational culture on employee retention and HR costs.
Organizational Culture, Employee Retention, and HR Costs
Does organizational culture matter to new employees? That was the research question in a study that investigated the retention rates of 904 college graduates hired by six public accounting firms over a six-year period.7 Organizational culture values varied considerably across the six firms, from high task orientation (i.e., high orientation toward detail and stability) to high interpersonal orientation (i.e., high concern for a team orientation and respect for individuals).
New employees stayed an average of 45 months in the cultures emphasizing interpersonal relationships, but only 31 months in the cultures emphasizing work task values (see Figure 2-1). This is a 14-month difference in median survival time. The next task was to translate the difference in time into a measure of profits forgone (i.e., opportunity losses).
Figure 2-1 Voluntary survival rates in two organizational cultures.
(Source: J. E. Sheridan. (1992). Organizational culture and employee retention, Academy of Management Journal, 35, p. 1049.)
Using the firms' average billing fees, along with hiring, training, and compensation costs, means profits per professional employee ranged from $58,000 during the first year of employment to $67,000 during the second year and $105,000 during the third. A firm therefore incurs an opportunity loss of only $9,000 ($67,000 $58,000) when a new employee replaces a two-year employee, but a $47,000 loss ($105,000 $58,000) when a new employee replaces a three-year employee.
If we assume that both strong and weak performers generated the same average level of profits in each year of employment and that annual profits were distributed uniformly between those with 31 and those with 45 months' seniority, it is possible to estimate the opportunity loss associated with the 14-month difference in median survival time. This difference translated into an opportunity loss of approximately $44,000 per new employee [($47,000 $9,000/12) 14] between the firms having the two different types of cultural values. That's roughly $62,000 per new employee in 2004 dollars. Considering the total number of new employees hired by each office over the six-year period of the study, the study indicates that a firm emphasizing work task values incurred opportunity losses of approximately $6 to $9 million ($8.5 to $12.8 million in 2004 dollars) more than a firm emphasizing interpersonal relationship values.
The Causal Effect of Management Practices on Performance
Evidence that management practices affect performance comes from a study of the five-year survival rate of 136 nonfinancial companies that initiated their public offerings in the U.S. stock market in 1988.8 By 1993, some five years later, only 60 percent of these companies were still in existence. Empirical analysis controlled statistically for factors such as size, industry, and even profits. Results showed that both the value the firm placed on human resources—such as whether the company cited employees as a source of competitive advantage—and how the organization rewarded people—such as stock options for all employees and profit sharing—were significantly related to the probability of survival.
As Figure 2-2 demonstrates, the results were important in a practical sense as well. The difference in survival probability for firms one standard deviation above and one standard deviation below the mean (those in the upper and lower 16 percent of all firms in the sample, respectively) on valuing human resources was almost 20 percent. The difference in survival depending on where the firm scored on rewards was even more dramatic, with a difference in five-year survival probability of 42 percent between firms in the upper and lower tails of the distribution.
Figure 2-2 Probability of an initial public offering firm's survival after 5 years.
(Source: Based on information from T. Welbourne & A. Andrews. (1996). Predicting performance of initial public offering firms: Should HRM be in the equation? Academy of Management Journal, 39, 910-911.)
As these examples show, adoption of high-performance work practices can have an economically significant effect on the market value of the firm. How large an effect? Recent work indicates a range of $15,000 to $45,000 per employee.9 For example, an analysis of the financial impact of HR systems across 702 firms revealed that a one standard deviation improvement in the HR system was associated with an increase in shareholder wealth of $41,000 per employee—about a 14 percent market value premium.10
The extent to which these practices actually will pay off depends on the skill and care with which the many HR practices available are implemented to solve real business problems and to support a firm's operating and strategic initiatives.
The next section describes a general approach to attaching economic estimates to the consequences of employee behaviors. This method is known as behavior costing. We then apply it in five key areas.
This approach assigns dollar estimates to behaviors, such as the absenteeism, turnover, and job performance, of employees and managers. Behavior costing does not measure the value of an employee or manager as an asset, but rather it considers the economic consequences of his or her behavior. This is an expense model of HR accounting,11 and, contrary to popular belief, there are methods for determining the costs of employee behavior in all HR management activities—behaviors associated with the attraction, selection, retention, development, and utilization of people in organizations. It is the approach taken in this chapter to assessing the costs and benefits of the activities of all employees, managerial as well as nonmanagerial. We will apply standard cost-accounting procedures to employee behavior. To do this, we must first identify each of the elements of behavior to which we can assign a cost, and each behavioral cost element must be separate and mutually exclusive from the others. To begin, let's consider the definitions of some key terms.
The costing methods described below are based on several definitions and a few necessary assumptions. To begin with, there are, as in any costing situation, both controllable and uncontrollable costs, and there are direct and indirect measures of these costs.
Direct measures refer to actual costs, such as the accumulated, direct cost of recruiting.
Indirect measures do not deal directly with cost; they are usually expressed in terms of time, quantity, or quality.12 In many cases indirect measures can be converted to direct measures. For example, if we know the length of time per pre-employment interview plus the interviewer's hourly pay, it is a simple matter to convert time per interview into cost per interview.
Indirect measures have value in and of themselves, and they also supply part of the data needed to develop a direct measure. As a further example, consider the direct and indirect costs associated with mismanaged organizational stress, as shown in Table 2-1.13 The direct costs listed in the left column of Table 2-1 can all be expressed in terms of dollars. To understand this concept, consider just two items: the costs associated with work accidents and with grievances. Figure 2-3 presents just some of the direct costs associated with accidents; it is not meant to be exhaustive, and it does not include such items as lost time, replacement costs, institution of “work to rule” by coworkers if they feel the firm is responsible, the cost of the safety committee's investigation, and the costs associated with changing technology or job design to prevent future accidents. The items shown in the right column of Table 2-1 cannot be expressed as easily in dollar terms, but they are no less important, and the cost of these indirect items may in fact be far larger than the direct costs. Both direct and indirect costs, as well as benefits, must be considered to apply behavior-costing methodology properly.
Figure 2-3 The costs of accidents and grievances.
Table 2-1 Direct and Indirect Costs Associated with Mismanaged Stress
|
Direct costs |
Indirect costs |
|
Participation and membership: · Absenteeism · Tardiness · Strikes and work stoppages Performance on the job: · Quality of productivity · Quantity of productivity · Grievances · Accidents · Unscheduled machine downtime and repair · Material and supply overutilization · Inventory shrinkages Compensation awards |
Loss of vitality: · Low motivation · Dissatisfaction Communication breakdowns: · Decline in frequency of contact · Distortions of messages Faulty decision making Quality of work relations: · Distrust · Disrespect · Animosity Opportunity costs |
Source: B. A. Macy & P. H. Mirvis, Evaluation Review, 6 (3), Figure 4-5. Copyright © 1982 by Sage Publications, Inc. Reprinted by permission.
Controllable versus Uncontrollable Costs
In any area of behavior costing, some types of costs are controllable through prudent HR decisions, while other costs are simply beyond the control of the organization. Consider employee turnover as an example. To the extent that people leave for reasons of “better salary,” “more opportunity for promotion and career development,” or “greater job challenge,” the costs associated with turnover are somewhat controllable. That is, the firm can alter its HR management practices to reduce the voluntary turnover. However, if the turnover is due to such factors as death, poor health, or spouse transfer, the costs are uncontrollable.
The point is that in human resource costing, the objective is not simply to measure costs but also to reduce the costs of human resources by devoting resources to the more “controllable” factors. To do this, we must do two things well:
1. Identify, for each HR decision, which costs are controllable and which are not.
2. Measure these costs at Time 1 (prior to some intervention designed to reduce controllable costs) and then again at Time 2 (after the intervention).
Hence the real payoff from determining the cost of employee behaviors lies in being able to demonstrate a financial gain from the wise application of human resource management methods. The following sections present both hypothetical and actual company examples of behavior costing in the areas of employee attitudes, absenteeism, turnover, work-life programs, and training.
FINANCIAL EFFECTS OF EMPLOYEE ATTITUDES
Attitudes are internal states that focus on particular aspects of or objects in the environment. They include three elements: cognition, the knowledge an individual has about the focal object of the attitude; the emotion an individual feels toward the focal object; and an action tendency, a readiness to respond in a predetermined manner to the focal object.14
For example, job satisfaction is a multidimensional attitude; it is made up of attitudes toward pay, promotions, coworkers, supervision, the work itself, and so on.15 Another attitude is organizational commitment—a bond or linking of an individual to the organization that makes it difficult to leave.16
Managers are interested in employees' job satisfaction and commitment principally because of the relationship between attitudes and behavior. They assume that employees who are dissatisfied with their jobs and who are not committed strongly to their organizations will tend to be absent or late for work, to quit more often, and to place less emphasis on customer satisfaction than those whose attitudes are positive. Poor job attitudes therefore lead to lowered productivity and organizational performance. Evidence indicates that this is, in fact, the case, and that management's concern is well placed.17
Behavior Costing and Employee Attitudes
Sears, Roebuck & Co. applied behavior-costing methodology to study the relationship between employee attitudes, customer behavior, and profits. In retailing, there is a chain of cause and effect running from employee behavior to customer behavior to profits. Employee behavior, in turn, depends to a large extent on attitude. What is different about the Sears model is that instead of trying to relate employee attitudes directly to financial outcomes, the model treats customer behavior as a critical intervening variable.
Measures, Data, and a Causal Model
Over two quarters Sears managers collected survey data from employees and customers and financial data from 800 of its stores. A team of consulting statisticians then factor-analyzed the data into meaningful clusters and used causal pathway modeling to assess cause/effect relationships. Based on initial results, Sears adjusted the model and continued to collect data for a new iteration at the end of the next quarter.
How did Sears benefit from the model? It could see how employee attitudes drove not just customer service, but also employee turnover and the likelihood that employees would recommend Sears and its merchandise to friends, family, and customers. It discovered that an employee's ability to see the connection between his or her work and the company's strategic objectives was a driver of positive behavior. It also found that asking customers whether Sears is a “fun place to shop” revealed more than a long list of more specific questions would. It began to see exactly how a change in training or business literacy affected revenues.
Although Sears used a 70-item questionnaire to assess employees' attitudes, it found that a mere 10 of those questions captured the predictive relationship between employee attitudes, behavior toward the customer, and customer satisfaction. Items such as the following predicted an employee's attitude about his or her job:
· I like the kind of work I do.
· I am proud to say I work at Sears.
· How does the way you are treated by those who supervise you influence your overall attitude about your job?
Items such as the following predicted an employee's attitude about the company:
· I feel good about the future of the company.
· I understand our business strategy.
· Do you see a connection between the work you do and the company's strategic objectives?
In summary, Sears produced a model, revised it three times, and created a kind of balanced scorecard for the company—the Sears Total Performance Indicators, or TPI—that showed pathways of causation all the way from employee attitudes to profits. The company conducts interviews and collects data continually, assembles its information quarterly, and recalculates the impacts on its model annually to stay abreast of the changing economy, changing demographics, and changing competitive circumstances. The revised model (see Figure 2-4) helps Sears managers run the company.
Figure 2-4 Revised model: The employee-customer-profit chain.
(Source: A. J. Rucci, S. P. Kirn, & R. T. Quinn. (1998, Jan.-Feb.). The employee-customer-profit chain at Sears, Harvard Business Review, p. 91. Used with permission.)
For example, consider the quality of management as a driver of employee attitudes. The model shows that a 5-point improvement in employee attitudes will drive a 1.3-point improvement in customer satisfaction in the next quarter, which in turn will drive a 0.5 percent improvement in revenue growth. If Sears knew nothing about a local store except that employee attitudes had improved by five points on its survey instrument, it could predict with confidence that if revenue growth in the district as a whole were 5 percent, revenue growth at this particular store would be 5.5 percent. Every year an outside accounting firm audits these numbers as closely as it audits financial measures.
Impact on Managers' Behavior and on the Firm
In a revolutionary step, Sears now bases all long-term executive incentives on the TPI. Such incentives are now based on nonfinancial as well as on financial performance—one-third on employee measures, one-third on customer measures, and one-third on traditional investor measures. At the level of the firm, employee satisfaction on Sears' TPI rose 4 percent, and customer satisfaction by almost 4 percent in one year. The 4 percent improvement translated into more than $200 million in additional revenues for that year. That increased Sears's market capitalization (price per share times the number of shares outstanding) by nearly 0.25 billion.
It is important to note, however, that across other types of organizations, the direction of causality may not be as clear as it is in retailing. In fact, it may well be the case that the financial performance of a firm predicts satisfaction with security and overall satisfaction, rather than vice versa. This is precisely what one study found in an analysis of employee attitudes and financial performance for 35 companies over eight years.18
Realizing the Full Benefits of the Model
The challenge of realizing the full benefit of the model includes three important components: (1) creating and refining the employee-customer-profit model and the measurement system that supports it, (2) creating management alignment around the use of the model to run the company, and (3) deploying the model so as to build business literacy and trust among employees. This implies that any retailer could copy the Sears measures, even the modeling techniques, and still fail to realize much benefit from the model, because the mechanics of the system are not in themselves enough to make it work. At Sears, the new business model altered the logic and culture of the business. Indeed, the process of altering the logic is what changed the culture.19
In any human resource costing application, it is important first to define exactly what is being measured. From a business standpoint, absenteeism is any failure of an employee to report for or to remain at work as scheduled, regardless of reason. The term “as scheduled” is very significant, for it automatically excludes vacations, holidays, jury duty, and the like. It also eliminates the problem of determining whether an absence is “excusable” or not. Medically verified illness is a good example. From a business perspective, the employee is absent and is simply not available to perform his or her job; that absence will cost money. How much money? In 2003 the cost of unscheduled absences in U.S. workplaces was about $800 per employee per year.20 For every 100 employees, that's $80,000. On the other hand, workers who come to work sick, when they should stay home instead, cost their employers an average of $255 per year in reduced productivity due to “presenteeism.” In the aggregate, economists estimate that presenteeism costs U.S. businesses $180 billion annually.21 Figures like that get management's attention.
Would it surprise you to learn that the leading causes of absenteeism are family-related issues? Personal illness, the reason you might expect to be the main justification for calling in sick, is actually true only in about one in five cases. Other causes are personal needs (about one in five cases), stress (about one in six cases), and entitlement mentality (about one in six cases).22
Before we begin costing absenteeism, one important qualification is necessary. Specifically, if workers can vary their work time to fit their personal schedules, if they need not “report” to a central location, and if they are accountable only in terms of results, then the concept of “absenteeism” may not have meaning. Teleworkers often fit this description.
To the extent that absenteeism is a legitimate concern in a given work situation, Figure 2-5 may prove useful. Figure 2-5 is a flowchart that shows how to estimate the total cost of employee absenteeism over any period. To illustrate the computation of each cost element in the figure, let us use as an example a hypothetical 1,800-employee firm called Mini-Mini-Micro Electronics; hour and dollar amounts for each element are shown in Table 2-2. An item-by-item explanation follows.
Table 2-2 Cost of Employee Absenteeism at Mini-Mini-Micro Electronics
|
Item |
Mini-Mini-Micro Electronics |
|
1. Total hours lost to employee absenteeism for the period
|
52,920 hr |
|
2. Weighted-average wage or salary per hour per absent employee
|
$22.70/hr |
|
3. Cost of employee benefits per hour per absent employee
|
$7.95/hr |
|
4. Total compensation lost per hour per absent employee: 1. if absent workers are paid (wage or salary plus benefits)
|
$30.65/hr |
|
2. if absent workers are not paid (benefits only)
|
— |
|
5. Total compensation lost to absent employees (total hours lost × 4a or 4b, whichever applies)
|
$1,621,998 |
|
6. Total supervisory hours lost on employee absenteeism
|
8,820 hr |
|
7. Average hourly supervisory wage, including benefits
|
$34.763/hr |
|
8. Total supervisory salaries lost to managing problems of absenteeism (hours lost × average hourly supervisory wage—item 6 × item 7)
|
$306,605.25 |
|
9. All costs incidental to absenteeism and not included in items 1 through 8
|
$300,000 |
|
10. Total estimated cost of absenteeism—summation of items 5, 8, and 9
|
$2,228,603.25 |
|
11. Total estimated cost of absenteeism per employee (total estimated costs ÷ total number of employees)
|
$1,238.11 per employee absence |
Figure 2-5 Total estimated cost of employee absenteeism.
(Source: W. F. Cascio. (2000). Costing human resources: The financial impact of behavior in organizations [4th ed.], South-Western College Publishing, Cincinnati, OH, p. 63. Used with permission.)
Item 1: Total Hours Lost.
Assume that employee absenteeism accounts for 1.5 percent of scheduled work hours (the median U.S. absence rate in 2004),23 which will be applied to total scheduled work hours. Also assume an eight-hour day and a five-day week. Hours of scheduled work time per employee per year may be determined by subtracting two weeks' vacation hours and five paid holidays from total work hours:
|
Total hours of work per year |
= |
40 hours × 52 weeks = 2,080 hours |
|
2 weeks of vacation |
= |
40 hours × 2 weeks = 80 hours |
|
5 paid holidays |
= |
40 hours × 5 days 40 hours |
|
Scheduled work hours per year per employee |
= |
2,080 hours − 80 hours − 40 hours = 1,960 hours |
To calculate total scheduled work hours per year, multiply the hours of scheduled work time per employee by the number of employees:
To determine total work hours lost to absenteeism, multiply total scheduled hours by 1.5 percent:
Item 2: Weighted-Average Wage or Salary per Hour per Absent Employee.
Employers who have systems in place for employees to report their absences can determine the exact wage or salary per hour per absent employee. Others might use the following procedure to estimate a weighted-average wage or salary per hour per absentee:
Item 3: Cost of Employee Benefits per Hour per Absent Employee.
The cost of benefits is included in the calculations because benefits consume, on average, more than a third of total compensation (see Chapter 12). Ultimately, we want to be able to calculate the total compensation lost as a result of absenteeism. Because our primary interest is in the cost of benefits per absentee, we multiply the weighted-average hourly wage by the benefits as a percentage of base pay. (If benefits differ as a function of union/nonunion or exempt/nonexempt status, a weighted-average benefit should be computed in the same manner as was done to compute a weighted-average wage.) For Mini-Mini-Micro, the cost of benefits per hour per absentee is
Item 4: Total Compensation Lost per Hour per Absent Employee.
This amount is determined by adding the weighted-average hourly wage and the hourly cost of benefits (assuming that absent workers are paid). Some firms (e.g., Honda USA) do not pay absentees: “No work, no pay.” In such instances, only the cost of benefits should be included in the estimate of total compensation lost per hour per absent employee. For Mini-Mini-Micro, where absent workers are paid, the compensation lost per hour for each absent employee is
Item 5: Total Compensation Lost to Absent Employees.
This amount is simply total hours lost multiplied by total compensation lost per hour:
Note that the first five items shown in Figure 2-5 refer to the costs associated with absentees themselves. The next three items refer to the firm's costs of managing employee absenteeism.
Item 6: Total Supervisory Hours Lost in Dealing with Employee Absenteeism.
Three factors determine this category of lost time:
|
A |
= |
Estimated average number of hours lost per supervisor per day managing absenteeism problems |
|
B |
= |
Total number of supervisors who deal with absenteeism problems |
|
C |
= |
Total number of working days in the period for which absentee costs are being analyzed (including all shifts and weekend work) |
The supervisor's time is “lost” because, instead of planning, scheduling, and troubleshooting productivity problems, he or she must devote time to nonproductive activities associated with managing absenteeism problems. The actual amount of time lost can be determined by having supervisors keep diaries indicating how they spend their time or by conducting structured interviews with experienced supervisors.
To calculate supervisory hours lost, multiply A × B × C. For Mini-Mini-Micro Electronics, the data needed for this calculation are as follows:
|
Estimate of A |
= |
30 minutes, or 0.50 hour, per day |
|
Estimate of B |
= |
72 supervisors (of the firm's 1,800 employees, 10 percent, or 180, are supervisors, and 40 percent of the 180, or 72, of the supervisors deal regularly with absenteeism problems) |
|
Estimate of C |
= |
245 days per year |
|
Supervisory hours lost |
= |
0.50 hour/day × 72 supervisors × 245 days/year in dealing with absenteeism |
|
|
= |
8,820 supervisory hours lost per year |
Item 7: Average Hourly Supervisory Wage, Including Benefits.
For those supervisors who deal regularly with absenteeism problems, assume that their average hourly wage is $25.75 plus 35 percent benefits ($9.013), or $34.763 per hour.
Item 8: Total Cost of Supervisory Salaries Lost to Managing Problems of Absenteeism.
To determine this cost, multiply the total supervisory hours lost by the total hourly supervisory wage:
Item 9: All Other Absenteeism-Related Costs Not Included in Items 1 through 8.
Assume that Mini-Mini-Micro spends $300,000 per year in absenteeism-related costs that are not associated either with absentees or with supervisors. These costs are associated with elements such as overtime premiums, wages for temporary help, machine downtime, production losses, inefficient materials usage by temporary substitute employees, and, for very large organizations, permanent labor pools to fill in for absent workers.
Item 10: Total Cost of Employee Absenteeism.
This cost is the sum of the three costs determined thus far: costs associated with absent employees (item 5) plus costs associated with the management of absenteeism problems (item 8) plus other absenteeism-related costs (item 9). For Mini-Mini-Micro Electronics, the total yearly cost is
Item 11: Per-Employee Cost of Absenteeism.
This amount is the total yearly cost divided by the number of employees:
Interpreting the Costs of Absenteeism
Perhaps the first questions management will ask upon seeing absenteeism cost figures are, “What do they mean? Are we average, above average, below average?” Unfortunately, there are no industry-specific figures on the costs of employee absenteeism. Certainly, these costs will vary depending on the type of firm, the industry, and the level of employee that is absent (unskilled versus skilled or professional workers). As a benchmark, however, consider that the average employee in the United States has about seven unscheduled absences per year, while the average British employee has about eight per year.24 Expressed in different terms, on an average day about 25 percent of the Norwegian workforce is absent (roughly 3 months per year) compared with 4.2 weeks for Sweden, 1.8 weeks for Italy, and 1.5 weeks for Portugal.25
Remember that the dollar figure just determined (we will call it the “Time 1” figure) becomes meaningful as a baseline from which to measure the financial gains realized as a result of a strategy to reduce absenteeism. At some later time (we will call this “Time 2”), the total cost of absenteeism should be measured again. The difference between the Time 2 figure and the Time 1 figure, minus the cost of implementing the strategy to reduce absenteeism, represents net gain.
Another question that often arises at this point is, “Are these dollars real? Since supervisors are drawing their salaries anyway, what difference does it make if they have to manage absenteeism problems?” True, but what is the best possible gain from them for that pay? Let's compare two firms, A and B, identical in regard to all resources and costs—supervisors get paid the same, work the same hours, manage the same size staff, and produce the same kind of product. But absenteeism in A is very low, and in B it is very high. The paymasters' records show the same pay to supervisors, but the accountants show higher profits in A than in B. Why? Because the supervisors in firm A spend less time managing absenteeism problems. They are more productive because they devote their energies to planning, scheduling, and troubleshooting. Instead of putting in a 10- or 12-hour day (which the supervisors in firm B consider “normal”), they wrap things up after only 8 hours. In short, reducing the number of hours that supervisors must spend managing absenteeism problems has two advantages: It allows supervisors to maximize their productivity, and it reduces the stress and the wear and tear associated with repeated 10- to 12-hour days, which, in turn, enhances the quality of work life of supervisors.
Organizations need a practical procedure for measuring and analyzing the costs of employee turnover, especially because top managers view the costs of hiring, training, and developing employees as investments that must be evaluated just like other corporate resources. The objective in costing human resources is not just to measure the relevant costs, but also to develop methods and programs to reduce the costs of human resources by managing the more controllable aspects of those costs.
Turnover may be defined as any permanent departure beyond organizational boundaries26—a broad and ponderous definition. Not included as turnover within this definition, therefore, are transfers within an organization and temporary layoffs. The rate of turnover in percent over any period can be calculated by the following formula:
In the United States, for example, monthly turnover rates averaged about 1 percent, or 12 percent annually.27 However, this figure most likely represents both controllable turnover (controllable by the organization) and uncontrollable turnover. Controllable turnover is “voluntary” on the part of the employee, while uncontrollable turnover is “involuntary” (e.g., due to retirement, death, or spouse transfer). Furthermore, turnover may be functional, where the employee's departure produces a benefit for the organization, or dysfunctional, where the departing employee is someone the organization would like to retain.
High performers who are difficult to replace represent dysfunctional turnovers; low performers who are easy to replace represent functional turnovers. The crucial issue in analyzing turnover, therefore, is not how many employees leave but rather the performance and replaceability of those who leave versus those who stay.28
In costing employee turnover, first determine the total cost of all turnover and then estimate the percentage of that amount that represents controllable, dysfunctional turnover—resignations that represent a net loss to the firm and that the firm could have prevented. Thus, if total turnover costs $1 million and 50 percent is controllable and dysfunctional, $500,000 is the Time 1 baseline measure. To determine the net financial gain associated with the strategy adopted prior to Time 2, compare the total gain at Time 2 (say, $700,000) minus the cost of implementing the strategy to reduce turnover (say, $50,000) with the cost of turnover at Time 1 ($500,000). In this example, the net gain to the firm is $150,000. Now let's see how the total cost figure is derived.
There are three broad categories of costs in the basic turnover costing model: separation costs, replacement costs, and training costs. This section presents only the cost elements that make up each of these three broad categories. Those who wish to investigate the subject more deeply may seek information on the more detailed formulas that are available.29
Following are four cost elements in separation costs:
1. Exit interview, including the cost of the interviewer's time and the cost of the terminating employee's time.
2. Administrative functions related to termination, for example, removal of the employee from the payroll, termination of benefits, and turn-in of company equipment.
3. Separation pay, if applicable.
4. Increased unemployment tax. Such an increase may come from either or both of two sources. First, in states that base unemployment tax rates on each company's turnover rate, high turnover will lead to a higher unemployment tax rate. Suppose a company with a 10 percent annual turnover rate was paying unemployment tax at a rate of 5 percent on the first $7,000 of each employee's wages in 2004. But in 2005, because its turnover rate jumped to 15 percent, the company's unemployment tax rate may increase to 5.5 percent. Second, replacements for those who leave will result in extra unemployment tax being paid. Thus a 500-employee firm with no turnover during the year will pay the tax on the first $7,000 (or whatever the state maximum is) of each employee's wages. The same firm with a 20 percent annual turnover rate will pay the tax on the first $7,000 of the wages of 600 employees.
The sum of these four cost elements represents the total separation costs for the firm.
The eight cost elements associated with replacing employees who leave are the following:
1. Communicating job availability.
2. Preemployment administrative functions, for example, accepting applications and checking references.
3. Entrance interview, or perhaps multiple interviews.
4. Testing and/or other types of assessment procedures.
5. Staff meetings, if applicable, to determine if replacements are needed, to recheck job analyses and job specifications, to pool information on candidates, and to reach final hiring decisions.
6. Travel and moving expenses, for example, travel for all applicants and travel plus moving expenses for all new hires.
7. Postemployment acquisition and dissemination of information, for example, all the activities associated with in-processing new employees.
8. Medical examinations, if applicable, either performed in-house or contracted out.
The sum of these eight cost elements represents the total cost of replacing those who leave.
This third component of turnover costs includes three elements:
1. Informational literature, for example, an employee handbook.
2. Instruction in a formal training program.
3. Instruction by employee assignment, for example, on-the-job training.
The sum of these three cost elements represents the total cost of training replacements for those who leave.
Note two important points. One, if there is a formal orientation program, the per-person costs associated with replacements for those who left should be included in the first cost element, informational literature. This cost should reflect the per-person, amortized cost of developing the literature, not just its delivery. Do not include the total cost of the orientation program unless 100 percent of the costs can be attributed to employee turnover.
Two, probably the major cost associated with employee turnover, reduced productivity during the learning period, is generally not included along with the cost elements instruction in a formal training program and instruction by employee assignment. The reason for this is that formal work measurement programs are not often found in employment situations. Thus, it is not possible to calculate accurately the dollar value of the loss in productivity during the learning period. If such a program does exist, then by all means include this cost. For example, a major brokerage firm did a formal work-measurement study of this problem and reported the results shown in Table 2-3. The bottom line is that we want to be conservative in our training cost figures so that we can defend every number we generate.
Table 2-3 Productivity Loss Over Each Third of the Learning Period for Four Job Classifications
|
|
|
Productivity loss during each third of the learning period |
||
|
Classification |
Weeks in learning period |
1 |
2 |
3 |
|
Management and partners |
24 |
75% |
40% |
15% |
|
Professional and technicians |
16 |
70 |
40 |
15 |
|
Office and clerical workers |
10 |
60 |
40 |
15 |
|
Broker trainees |
104 |
85 |
75 |
50 |
Note: The learning period for the average broker trainee is two years, although the cost to the firm is generally incurred only in the first year. It is not until the end of the second year that the average broker trainee is fully productive.
The sum of the three component costs—separation, replacement, and training—represents the total cost of employee turnover for the period in question. Other factors could also be included in the tally, such as the uncompensated performance differential between leavers and their replacements, but that is beyond the scope of this book.30
Remember, the purpose of measuring turnover costs is to improve management decision making. Once turnover figures are known, managers have a sound basis for choosing between current turnover costs and instituting some type of turnover-reduction strategy. These might include actions such as the following: Appoint a retention czar whose job is to help build a supportive culture and employee commitment,31 provide realistic job previews, conduct and follow up on employee surveys, and institute merit-based rewards to retain high performers.32
Consider the impact of a simple, nonfinancial strategy to improve retention. Managers at NationsBank realized that voluntary turnover rates among backoffice workers were much higher than those in the rest of the bank. After instituting a one-on-one communications program, the bank reduced voluntary turnover by 25 percent. How? By having line managers come in at off-hours (e.g., 1 A.M.) to meet with night-shift employees and thoroughly explain benefits the employees were unaware of. The managers were trained to communicate with workers in problem-solving manner—not “tell and sell”—and their efforts paid off.33
Think about the fully loaded cost of turnover. It includes not just separation and replacement costs, but also an exiting employee's lost leads and contacts, the new employee's depressed productivity while he or she is learning, and the time coworkers spend guiding him or her. The combined effect of those factors can easily cost 150 percent or more of the departing person's salary.34 In fact, Merck & Company, the pharmaceutical giant, found that, depending on the job, turnover costs were 1.5 to 2.5 times the annual salary paid.35
Obviously, there are opportunities in this area for enterprising managers to make significant bottom-line contributions to their organizations. For example, one way to reduce turnover, especially among employees who seek opportunities for personal growth and professional development, is to provide training. Indeed, among employees who say their company offers poor training, 41 percent plan to leave within a year, versus only 12 percent of those who rate their firm's training opportunities as excellent.36 At firms such as Hewlett-Packard, IBM, and Edward Jones & Company, training is an important component of each firm's competitive strategy. We will describe methods of assessing the costs and benefits of training in a later section.
FINANCIAL EFFECTS OF WORK-LIFE PROGRAMS
Although originally termed “work-family” programs, this book uses the term “work-life” programs to reflect a broader perspective of this issue. “Work-life” recognizes the fact that employees at every level in an organization, whether parents or nonparents, face personal or family issues that can affect their performance on the job. A work-life program includes any employer-sponsored benefit or working condition that helps an employee to balance work and nonwork demands.37 At a general level, such programs span five broad areas:38
1. Child and dependent care benefits (e.g., onsite or near-site child or elder care programs, summer and weekend programs for dependents).
2. Flexible working conditions (e.g., flextime, job sharing, teleworking, part-time work, compressed work weeks).
3. Leave options (e.g., maternity, paternity, adoption leaves, sabbaticals, phased reentry or retirement schemes).
4. Information services and HR policies (e.g., cafeteria benefits, life-skill educational programs such as parenting skills, health issues, financial management, retirement, exercise facilities, professional and personal counseling).
5. Organizational cultural issues (e.g., an organizational culture that is supportive with respect to the nonwork issues of employees, coworkers and supervisors who are sensitive to family issues).
Who Adopts Work-Life Programs?
A recent study sought to identify characteristics of organizations that are associated with the adoption of work-life programs.39 Five such characteristics were investigated: organizational size (measured on a 10-point scale from 1, fewer than 25 employees, to 10, more than 8,000 employees), the percentage of women in the organization, the percentage of employees under age 35 in the organization, public-versus private-sector ownership, and the organization's track record in HR management (good versus poor).
Only two of the five characteristics were associated with the adoption of work-life programs. Larger organizations were better able to provide a broad base of work-life benefits than smaller organizations. Larger organizations tended to adopt more policies related to individual support (e.g., personal counseling, relocation assistance), leave, life-career strategies, and child and dependent care benefits than were smaller organizations. Similarly, organizations rated as having good track records in HR management tended to implement more flexible work options, individual growth, and life-career policies. However, the percentage of women in the organization, the percentage of employees under age 35, and public-versus private-sector ownership were unrelated to the adoption of work-life programs.
Work-Life Programs and Employee Behaviors
For purposes of illustration, we will consider the financial effects of only three of the many possible work-life interventions: child care, elder care, and stress. Then we will examine stock market reactions to work-life initiatives.
Company-sponsored child care is a valuable work-life program for many parents.
A recent study by Circadian Technologies found that employers that provide on-site child care can reduce employee absenteeism and voluntary turnover by more than 20 percent.40 At the level of the individual firm, Allied Signal compared the number of days missed by parents 12 months prior to the introduction of a child care center versus 12 months after its introduction. The number of days missed dropped from 259 to 30.41 In a cost-benefit analysis of its sick child care programs, Honeywell determined that it saved $45,000 over and above the cost of the programs in the first nine months of operation. Small employers can save money too. Thus a 38-person CPA firm in California found that by providing seasonal onsite child care, the firm netted an additional $25,000 annual income through increased availability of staff.42
A study at a major aerospace firm reported the following savings in the first year of operation of a child care center.43
· Reduced absences arising from child care breakdowns: 5.28 days saved per employee, or $243,302.
· Reduced tardiness due to child care problems: 8.37 times late or left early per employee (multiplied by 2 hours), or $96,422.
· Reduced work time spent looking for child care: 7 hours per employee, or $12,900.
The total estimated net savings for this very large employer were $352,624.
Finally, a study of the return on investment (ROI) of backup child care (i.e., child care used in emergencies or when regular child care is unavailable) at Chase Manhattan Bank revealed the following. Child care breakdowns were the cause of 6,900 days of potentially missed work by parents. Because backup child care was available, these lost days were not incurred. When multiplied by the average daily salary of the employee in question, gross savings were $1,523,175. The annual cost of the backup child care center was $720,000, for a net savings of $803,175, and an ROI (economic gains divided by program costs) of better than 110 percent.44
As the workforce ages and life spans increase, elder care is projected to have an increasing effect on the workplace.45 At the national level, a study by Metropolitan Life Insurance Company of employer costs for elder care provided by full-time employees found that the aggregate cost to U.S. employers was almost $400 million per year. This was based on the number of full-time caregivers by gender, the median weekly wage in the United States by gender, and a finding that 10.5 percent of employed caregivers were absent a minimum of six days per year performing caregiving responsibilities, such as taking their older relative to the doctor or other health care visits, visiting them, or arranging for services.46
The same study also examined the aggregate cost to U.S. employers of partial absenteeism—arriving late for work, leaving early, or extending lunch breaks—in order to meet elder care responsibilities. Among caregivers employed full time, 59 percent reported that they had to adjust their schedules in these ways. Fully 22 percent of caregivers are unable to make up this time by working late, coming in on weekends, or taking work home.47 Experts on caregiving estimate that, on average, caregivers lose a minimum of one hour per week, or 50 hours per year, that cannot be made up. Based on the number of full-time caregivers by gender, the median weekly wage in the United States by gender, the number experiencing partial absenteeism (59 percent), and the number unable to make up 50 hours per year (22 percent), the total cost to employers was estimated to exceed $488 million.
Some caregivers find that their elder care responsibilities are so great that they have to quit their jobs. In the MetLife study, more than 17 percent of care-givers fell into that category. At a broader level, Johnson & Johnson found that policies on time and leave were very significant in employees' decisions to stay with the firm, even if they personally had not used them. This is not atypical, and it is consistent with other published research.48 The fact is that people are more committed to organizations that offer work-life programs, regardless of the extent to which they personally might benefit from them. In one group of employers with work-life programs, 78 percent reported that the programs helped their companies retain valuable employees. At NationsBank, two-thirds of employees on flexible schedules said they would have left without these policies.49
In a study of organizations with and without work-life programs, Northwestern Mutual Life found employees in companies that did not have supportive policies were twice as likely to report burnout and stress.50 Employer-sponsored work-life programs do not erase the difficulties of balancing responsibilities, but they do provide resources for employees to manage and solve their own problems.
Open communication policies and supportive work environments combine to reduce work-life stress. Thus, a recent study found that the top five drivers of retention were (1) career-development opportunities, (2) confidence in the future, (3) feelings of accomplishment, (4) amount of joy at work, and (5) sense of job security.51
It is not just the policies, but also the environment in which they are implemented that make the biggest difference for employees. Thus, an evaluation of Johnson & Johnson's work-life programs found that while employees appreciated and made use of the company's array of progressive policies, the factors most often associated with people's ability to balance work and nonwork roles were a supportive supervisor and workplace culture.52
Stock Market Reactions to Work-Life Initiatives
A recent study examined stock market effects of 130 announcements among Fortune 500 companies of work-life initiatives in The Wall Street Journal.53 The study examined changes in share prices the day before, the day of, and the day after such announcements. The average share-price reaction over the three-day window was 0.39 percent, and the average dollar value of such changes was approximately $60 million per firm. Apparently investors anticipate that firms will have access to more resources (e.g., higher quality talent) following the adoption of a work-life initiative. There is a difference, however, between announcements and actual implementation. Only firms that do what they say are likely to reap the benefits of work-life initiatives.
Cautions in Making the Business Case for Work-Life Programs
While the results of the studies just presented may seem compelling, keep in mind three important considerations:
1. Recognize that no one set of facts and figures will make the case for all firms. It depends on the priorities of the organization in question—is it primarily attraction and public image, retention of talent, or the costs versus benefits of alternative programs?
2. Don't rely on isolated facts to make the business case. Considered by itself, any single study or fact is only one piece of the total picture. It is important to develop a dynamic understanding of the importance of the relationship between work and personal life. Doing so requires a focus on an organization's overall culture and values, not just on programs or statistics. Often a combination of quantitative information along with employees' experiences, in their own words (qualitative information that brings statistics to life), is most effective.
3. Don't place work-life initiatives under an unreasonable burden of proof. Decision makers may well be skeptical even after all the facts and costs have been presented to them. That suggests that more deeply rooted attitudes and beliefs may underlie the skepticism—such as a belief that addressing personal concerns may erode service to clients or customers or that people will take unfair advantage of the benefits or that work-life issues are just women's issues. Constructing a credible business case means addressing attitudes and values as well as assembling research.54
COSTING THE EFFECTS OF TRAINING ACTIVITIES
At the most basic level, the task of evaluation is counting—counting clients, counting errors, counting dollars, counting hours, and so forth. The most difficult tasks of evaluation are deciding which things should be counted and developing routine methods for counting them. Managers should count the things that will provide the most useful feedback.
Managers assess the results of training to determine whether it is worth the cost. Training valuation (in financial terms) is not easy, but the technology to do it is available and well developed.55 Evidence indicates that managers prefer to receive information about the financial results of training programs, rather than anecdotal information, regardless of the overall impact of such programs (low, average, or high).56 Such information may be derived in two types of situations: one in which only indirect measures of dollar outcomes are available and one in which direct measures of dollar outcomes are available.
Indirect Measures of Training Outcomes
Indirect measures of training outcomes are more common than direct measures. That is, many studies of training outcomes report improvements in job performance or decreases in errors, scrap, and waste. Relatively few studies report training outcomes directly in terms of dollars gained or saved. Indirect measures can often be converted into estimates of the dollar impact of training, however, by using a method known as utility analysis. Although the technical details of the method are beyond the scope of this chapter,57 following is a summary of one such study.
A large, U.S.-based, multinational firm conducted a four-year investigation of the effect and utility of its corporate managerial and sales/technical training functions. The study is noteworthy because it adopted a strategic focus by comparing the payoffs from different types of training in order to assist decision makers in allocating training budgets and specifying the types of employees to be trained.58
The CEO, a former research scientist, requested a report on the dollar value of training. He indicated that training should be evaluated experimentally, strategically aligned with the business goals of the organization, and thus demonstrated to be a worthwhile investment for the company. Thus, the impetus for this large-scale study came from the top of the organization.
In a project of this scope and complexity, it is necessary to address several important methodological issues. The first concerns the outcomes or criteria to use in judging each program's effectiveness. Training courses that attempt to influence the supervisory style of managers may affect a large percentage of the tasks that comprise that job. Conversely, a course designed to affect sales of a specific product may only influence a few of the tasks in the sales representative's job. The researchers corrected for this issue to ensure that the estimate of economic payoff for each training program only represented the value of performance on specific job elements.
A second issue that must be considered when assessing the effectiveness of alternative training programs is the transfer of trained skills from the training to the job. For the training to have value, skills must be generalized to the job (i.e., exhibited on the job), and such transfer must be maintained for some period of time. To address the issue of transfer, the measure of performance on all training programs was behavioral performance on the job. Performance was assessed by means of a survey completed by each trainee's supervisor (for most courses), peers (i.e., hazardous energy control), or subordinates (i.e., team building) before and after training.
Because it was not possible to assess the length of training's effects in this study, decision makers assumed that training's effect (and economic utility) was maintained without decay or growth for precisely one year. In addition, the researchers calculated break-even values, which indicate the length of time the observed effect would need to be maintained in order to recover the cost of the training program.59
A sample of 18 high-use or high-cost courses was selected based on the recommendation of the training departments throughout the organization. Managerial training courses were defined as courses developed for individuals with managerial or supervisory duties. Sales training courses were defined as programs designed to enhance the performance of sales representatives by affecting sales performance or support of their own sales. Technical training courses (e.g., hazardous energy control, in-house time management) were defined as courses not specifically designed for sales or supervisory personnel.
Of the 18 programs, 8 evaluation studies used a control group design in which training was provided to one group and not provided to a second group similar to the trained group in terms of relevant characteristics. The remaining 10 training program evaluations relied on a pretest—posttest only design, in which a control group was not used and the performance of the trained group alone was evaluated before and after the training program.
Results.
Over all 18 programs, assuming a normal distribution of performance on the job, the average improvement was about 17 percent (0.54 of a standard deviation, or SD). However, for technical/sales training it was higher (0.64 SD), and for managerial training it was lower (0.31 SD). Thus, training in general was effective.
The mean return on investment (ROI) was 45 percent for the managerial training programs, and 418 percent for the sales/technical training programs. However, one inexpensive time-management program developed in-house had an ROI of nearly 2,000 percent. When the economic utility of that program is removed, the overall average ROI of the remaining training programs was 84 percent and the ROI of sales/technical training was 156 percent.
Time to Break-Even Values.
There was considerable variability in these values. Break-even periods ranged from a few weeks (e.g., time management, written communications) to several years (supervisory skills, leadership skills). Several programs were found to have little positive or even slightly negative effects, and thus would never yield a financial gain.
This study compared the effectiveness and economic utility of different types of training across sales, technical, and managerial jobs. The estimated cost of the four-year project, including the fully loaded cost of rater time, as well as the cost of consulting, travel, and materials, was approximately $500,000. This number may seem large. However, over the same time period, the organization spent more than $240 million on training. Thus the cost of the training program evaluation was approximately 0.2 percent of the training budget during the same period. Given budgets of this magnitude, some sort of accountability is prudent.
Despite the overall positive effects and utility of the training, there were some exceptions. The important lesson to be learned is that it is necessary to evaluate the effect and utility of each training program before drawing overall conclusions about the impact of training. It would be simplistic to claim that “training is a good investment” or that “training is a waste of time and money.”60
Direct Measures of Training Outcomes
When direct measures of training outcomes are available, standard valuation methods are appropriate. The following study valued the results of a behavior-modeling training program (described more fully below) for sales representatives in relation to the program's effects on sales performance.61
A large retailer conducted a behavior-modeling program in two departments, large appliances and radio/TV, within 14 of its stores in one large metropolitan area. The 14 stores were matched into seven pairs in terms of size, location, and market characteristics. Stores with unusual characteristics that could affect their overall performance, such as declining sales or recent changes in management, were not included in the study.
The training program was then introduced in seven stores, one in each of the matched pairs, and not in the other seven stores. Other kinds of ongoing sales training programs were provided in the control-group stores, but the behavior-modeling approach was used only in the seven experimental-group stores. In the experimental-group stores, 58 sales associates received the training, and their job performance was compared with that of 64 sales associates in the same departments in the control-group stores.
As in most sales organizations, detailed sales records for each individual were kept on a continuous basis. These records included total sales as well as hours worked on the sales floor. Because all individuals received commissions on their sales and because the value of the various products sold varied greatly, it was possible to compute a job performance measure for each individual in terms of average commissions per hour worked.
There was considerable variation in the month-to-month sales performance of each individual, but sales performance over six-month periods was more stable. In fact, the average correlation between consecutive sales periods of six months each was about 0.80 (where 1.00 equals perfect agreement). Hence, the researchers decided to compare the sales records of participants for six months before the training program was introduced with the results achieved during the same six months the following year, after the training was concluded. All sales promotions and other programs in the stores were identical, since these were administered on an areawide basis.
The program focused on specific aspects of sales situations, such as “approaching the customer,” “explaining features, advantages, and benefits,” and “closing the sale.” The training itself proceeded according to the following procedure. First the trainers presented guidelines (or “learning points”) for handling each aspect of a sales interaction. Then the trainees viewed a videotaped situation in which a “model” sales associate followed the guidelines in carrying out that aspect of the sales interaction with a customer. The trainees then practiced the same situation in role-playing rehearsals. Their performance was reinforced and shaped by their supervisors, who had been trained as their instructors.
Of the original 58 trainees in the experimental group, 50 were still working as sales associates one year later. Of the remaining 8 associates, 4 had been promoted during the interim, and 4 others had left the company. In the control-group stores, only 49 of the original 64 were still working as sales associates one year later. Only 1 had been promoted, and 14 others had left the company. Thus, the behavior-modeling program may have had a substantial positive effect on turnover since only about 7 percent of the trained group left during the ensuing year, in comparison with 22 percent of those in the control group. (This result had not been predicted.)
Figure 2-6 presents the changes in average per-hour commissions for participants in both the trained and untrained groups from the six-month period before the training was conducted to the six-month period following the training. Note in Figure 2-6 that the trained and untrained groups did not have equal per-hour commissions at the start of the study. While the stores that members of the two groups worked in were matched at the start of the study, sales commissions were not. Sales associates in the trained group started at a lower point than did sales associates in the untrained group. Average per-hour commissions for the trained group increased over the year from $9.27 to $9.95 ($19.36 to $20.79 in year 2004 dollars); average per-hour commissions for the untrained group declined over the year from $9.71 to $9.43 ($20.28 to $19.68 in year 2004 dollars). In other words, the trained sales associates increased their average earnings by about 7 percent, whereas those who did not receive the behavior-modeling training experienced a 3 percent decline in average earnings. This difference was statistically significant. Other training outcomes (e.g., trainee attitudes, supervisory behaviors) were also assessed, but, for our purposes, the most important lesson was that the study provided objective evidence to indicate the dollar impact of the training on increased sales.
Figure 2-6 Changes in per-hour commissions before and after the behavior-modeling training program.
The program also had an important secondary effect on turnover. Because all sales associates are given considerable training (which represents an extensive investment of time and money), it appears that the behavior modeling contributed to cost savings in addition to increased sales. As noted in the previous discussion of turnover costs, an accurate estimate of these cost savings requires that the turnovers be separated into controllable and uncontrollable, because training can affect only controllable turnover.
Finally, the use of objective data as criterion measures in a study of this kind does entail some problems. As pointed out earlier, the researchers found that a six-month period was required to balance out the month-to-month variations in sales performance resulting from changing work schedules, sales promotions, and similar influences that affected individual results. It also took some vigilance to ensure that the records needed for the study were kept in a consistent and conscientious manner in each store. According to the researchers, however, these problems were not great in relation to the usefulness of the study results. “The evidence that the training program had a measurable effect on sales was certainly more convincing in demonstrating the value of the program than would be merely the opinions of participants that the training was worthwhile.”62
IMPACT OF HUMAN RESOURCE MANAGEMENT ACTIVITIES ON PRODUCTIVITY, QUALITY OF WORK LIFE, AND THE BOTTOM LINE
There is a growing consensus among managers in many industries that the future success of their firms may depend more on the skill with which human problems are handled than on the degree to which their firms maintain leadership in technical areas. For example, consider the average return to shareholders by Fortune magazine's list of the 100 Best Companies to Work for in America. Of the 61 firms in the group that are publicly traded, they outperformed the Russell 3000, an index of large and small companies that mirrors the 100 Best over both 5- and 10-year periods. Over 5 years, the 100 Best returned an average of 27.5 percent versus 17.3 percent for the Russell 3000. Over 10 years, the 100 Best returned an average of 23.4 percent versus 14.8 percent for the Russell 3000.
While it could be that well-treated employees who enjoy a high quality of work life make companies successful, it is equally likely that successful companies provide a high QWL by treating their employees well. According to a recent report from Ernst & Young, institutional investors are now more likely to buy stock based on a company's ability to attract talented people. Talented people want challenging work, opportunities for professional growth and development, and high QWL. Institutional investors are betting cash that companies providing that kind of an environment will be successful in the marketplace.63
LINKING WORKER BELIEFS TO INCREASED PRODUCTIVITY AND PROFITABILITY
Human Resource Management in Action: Conclusion
The very best managers seem to share four key behaviors that help to trigger the 12 worker beliefs that underlie a profitable, productive workplace.
1. Select for talent. Gallup defines talents as patterns of thoughts, feelings, and behaviors that come naturally to an individual. The best managers identify talents that are needed for a particular position and then find people who fit the role. This means looking beyond a person's knowledge and skills to size up whether a job really “fits” the person. For example, positions involving sales or customer service require “woo,” or the talent for establishing trust with someone quickly upon meeting them. In filling these jobs great managers look for people who possess “woo.”
2. Define the right outcomes. Managers who do this best establish very clear objectives (so employees know exactly what they need to attain), they make sure that employees have the resources to do their jobs well (e.g., equipment, information, budget, staff), and then they allow employees to pave their own paths. The best managers don't define the steps for their employees or legislate style.
3. Focus on strengths. Gallup senior vice president Coffman calls this approach “trying to bring out what God left in, rather than trying to put back what God forgot.” Rather than identifying workers' weaknesses and attempting to fix them, where the gains will be short-lived, focus on strengths. Identify and reinforce strengths, and then figure out where your workers' strengths will serve the company best.64
4. Find the right fit. According to Coffman, “Talent never becomes ‘talented’ without being given a role for it to shine.” The best managers continually encourage their employees to look in the mirror and assess themselves in order to find the kind of work that will bring out their best talents.
ETHICAL DILEMMA Survey Feedback: Nice or Necessary?
Is it unethical to ask employees for their opinions, attitudes, values, or beliefs on an attitude survey and then subsequently not give them any feedback about the results? We know that survey results that are not fed back to employees are unlikely to be translated into action strategies, and that it is poor management practice to fail to provide feedback.65 Is it unethical as well? (Hint: See the definition of ethical decision making in Chapter 1.)
IMPLICATIONS FOR MANAGEMENT PRACTICE
How can such substantial gains in productivity, quality, and profits as we have described in this chapter occur? They happen because high-performance management practices provide a number of sources for enhanced organizational performance:66
1. People work harder because of the increased involvement and commitment that comes from having more control and say in their work. Managers who adopt democratic leadership styles influence employees' perceptions of personal control over their work.
2. People work smarter because they are encouraged to build skills and competence. Managers have considerable influence over the opportunities for professional growth and development of their employees.
3. Finally, people work more responsibly because more responsibility is placed in the hands of employees farther down in the organization. Again, managers who delegate responsibility appropriately can foster such feelings of responsibility on the part of their subordinates. These practices work not because of some mystical process, but because they are grounded in sound social science principles that are supported by a great deal of evidence. Managers should use them to create win-win scenarios for themselves and for their people.
The purpose of this chapter was to illustrate the financial impact of human resource management activities. We began by noting four basic requirements of all human capital or HR metrics: evidence, explanation, purpose, and method. To be most useful, such metrics should focus on outcomes that are directly relevant to the strategic objectives of a business. They should guide decisions about employees and programs, and they should be expressed in language that key decision makers find meaningful.
The chapter then considered the financial impact of high-performance work practices on organization-level outcomes. Firms that implement more of these practices tend to be more profitable and to provide higher returns to shareholders than those that implement fewer or none of them. However, these effects are most pronounced when such work practices are implemented together as a system.
To illustrate this, we examined two longitudinal studies, one on organization culture and one on the survival of a sample of firms after their initial public offerings (IPOs). In both cases, management practices had a causal effect on the performance of firms.
To identify the financial impact of specific HR issues, we adopted the methodology of behavior costing. Behavior costing does not measure the value of employees and managers as assets but rather the economic consequences of their behavior, for example, to be absent or to quit. Applying behavior costing methodology properly requires that both direct and indirect costs be considered. However, the objective is not simply to measure these costs; it is also to reduce them by devoting resources to show costs that are controllable. The chapter presented behavior-costing methods in five key areas of employee behavior: employee attitudes, absenteeism, turnover, work-life programs, and training and development.
· human capital metrics
· high-performance work practices
· behavior costing
· direct measures
· indirect measures
· controllable costs
· uncontrollable costs
· attitudes
· job satisfaction
· organizational commitment
· absenteeism
· turnover
· work-life program
· return on investment
· indirect measures of training outcomes
· criteria
· transfer of trained skills
· break-even values
· control group design
· pretest—posttest only design
· direct measures of training outcomes
|
2-1 |
What are some key requirements of all human capital or HR metrics? |
|
2-2 |
Given the positive financial returns from high-performance work practices, why don't more firms implement them? |
|
2-3 |
What is behavior costing methodology? How can it be useful to an operating manager? |
|
2-4 |
Discuss three controllable and three uncontrollable costs associated with absenteeism. |
|
2-5 |
Why should efforts to reduce turnover focus only on controllable costs? |
|
2-6 |
In making the business case for work-family programs, what points would you emphasize? |
Case 2-1: Absenteeism at ONO Inc.
ONO Inc. is an auto-supply company with 11 employees. In addition, there are two supervisors and Fred Donofrio, the owner and general manager. Last year, ONO did $5 million in business and earned $250,000 in profits ($375,000 before taxes). The auto-supply business is extremely competitive, and owners must constantly be on the lookout for ways to reduce costs to remain profitable.
Employee salaries at ONO average $21.00 an hour, and benefits add another 33 percent to these labor costs. The two supervisors earn an average of $28.00 an hour, with a similar level (percentage) of benefits. Employees receive two weeks of vacation each year and 12 days of paid sick leave.
Over the last two years, Fred Donofrio has noted an increasing rate of absenteeism among his 11 employees (there seems to be no similar problem with the two supervisors). Last week, he asked Cal Jenson, his most senior supervisor, to go through the records from last year and determine how much absenteeism had cost ONO. Further, he asked Cal to make any recommendations to him that seemed appropriate depending on the magnitude of the problem.
Cal determined that ONO lost a total of 539 employee labor-hours (67.375 days) to absenteeism last year (this figure did not, of course, include vacation time). Further, he estimated that he and the other supervisor together averaged 1.5 hours in lost time whenever an employee was absent for a day. This time was spent dealing with the extra problems (rescheduling work, filling in for missing workers, etc.) that an absence created. On several occasions last year, ONO was so short of help that temporary workers had to be hired or present employees had to work overtime. Cal determined that the additional costs of overtime and outside help last year totaled $3,100. Cal is now in the process of preparing his report to Fred Donofrio.
Questions
1. What figure will Cal Jenson report to Fred Donofrio for the amount that absenteeism cost ONO last year?
2. Is absenteeism a serious problem at ONO? Why or why not?
3. What recommendations for action could Cal Jenson make to Fred Donofrio?
1Becker, B. E., Huselid, M. E., & Ulrich, D. (2001). The HR scorecard: Linking people, strategy, and performance. Boston: Harvard Business School Press.
2Boudreau, J. W. (1998). Strategic human resource management measures: Key linkages and the PeopleVantage model. Journal of Human Resource Costing and Accounting, 3 (2), 21-40.
3Boudreau, J. W., & Ramstad, P. M. (1998). Human resource metrics: Can measures be strategic? Cornell University, Center for Advanced Human Resource Studies, Working Paper, 98-10. Ithaca, NY: CAHRS.
4Paauwe, J., Williams, R., & Keegan, A. (2002). The importance of the human resource management function in organizational change. Working Paper, Department of Business and Organization, Rotterdam School of Economics, Erasmus University, Rotterdam, The Netherlands.
5Schneider, B., Hanges, P. J., Smith, B., & Salvaggio, A. N. (2003). Which comes first: Employee attitudes or organizational financial and market performance? Journal of Applied Psychology, 88, 836-851. Pfeffer, J. (1998). The human equation: Building profits by putting people first. Boston: Harvard Business School Press. Terpstra, D. E., & Rozell, E. J. (1993). The relationship of staffing practices to organizational-level measures of performance. Personnel Psychology, 46, 27-48. Gerhart, B., & Milkovich, G. T. (1990). Organizational differences in managerial compensation and firm performance. Academy of Management Journal, 33, 663-691.
6Becker, Huselid, & Ulrich, op. cit. See also Ferris, G. R., Hochwarter, W. A., Buckley, M. R., Harrell-Cook, G., & Frink, D. (1999). Human resources management: Some new directions. Journal of Management, 25, 385-415. Delery, J. E., & Doty, D. H. (1996). Modes of theorizing in strategic human resource management: Tests of universalistic, contingency, and configurational performance predictions. Academy of Management Journal, 39, 802-835.
7Sheridan, J. E. (1992). Organizational culture and employee retention. Academy of Management Journal, 35, 1036-1056.
8Welbourne, T. M., & Andrews, A. O. (1996). Predicting the performance of initial public offerings: Should human resource management be in the equation? Academy of Management Journal, 39, 891-919.
9Davidson, W. N., III, Worrell, D. L., & Fox, J. B. (1996). Early retirement programs and firm performance. Academy of Management Journal, 39, 970-984.
10Huselid, M. A., & Becker, B. E. (1997). The impact of high performance work systems, implementation effectiveness, and alignment with strategy on shareholder wealth. Unpublished paper, Rutgers University, pp. 18-19.
11Mirvis, P. H., & Macy, B. A. (1976). Measuring the quality of work and organizational effectiveness in behavioral-economic terms. Administrative Science Quarterly, 21, 212-226.
12Kravetz, D. J. (2004). Measuring human capital. Mesa, AZ: KAPublishing. See also Fitz-enz, J. (1984). How to measure human resources management. New York: McGraw-Hill.
13For more on this issue see Sonnentag, S., & Frese, M. (2003). Stress in organizations. In W. C. Borman, D. R. Ilgen, & R. J. Klimoski (eds.), Handbook of psychology, vol. 12, Industrial and organizational psychology, pp. 453-491. Hoboken, NJ: Wiley. DeFrank, R. S., & Ivancevich, J. M. (1998). Stress on the job: An executive update. Academy of Management Executive, 12, 55-66. See also DeFrank, R. S., Konopaske, R., & Ivancevich, J. M. (2000). Executive travel stress: Perils of the road warrior. Academy of Management Executive, 14 (2), 58-71.
14Beckler, S. J. (1984). Empirical validation of affect, behavior, and cognition as distinct components of attitude. Journal of Personality and Social Psychology, 47, 1191-1205.
15Hulin, C. L., & Judge, T. A. (2003). Job attitudes. In W. C. Borman, D. R. Ilgen, & R. J. Klimoski (eds.), Handbook of psychology, vol. 12, Industrial and organizational psychology, pp. 255-276. Hoboken, NJ: Wiley.
16Mathieu, J. E., & Zajac, D. M. (1990). A review and meta-analysis of the antecedents, correlates, and consequences or organizational commitment. Psychological Bulletin, 108 (2), 171-194.
17Ryan, A. M., Schmit, M. J., & Johnson, R. (1996). Attitudes and effectiveness: Examining relations at an organizational level. Personnel Psychology, 49, 853-883. See also Cohen, A. (1993). Organizational commitment and turnover: A metaanalysis. Academy of Management Journal, 36, 1140-1157. See also Ostroff, C. (1992). The relationship between satisfaction, attitudes, and performance: An organizational-level analysis. Journal of Applied Psychology, 77, 963-974.
18Schneider et al. (2003), op. cit.
19Rucci, A. J., Kirn, S. P., & Quinn, R. T. (1998, Jan.-Feb.). The employee-customer-profit chain at Sears. Harvard Business Review, pp. 82-97.
20Onsite childcare can reduce absenteeism, turnover. (2003, Sept. 9). Accessed at http://www.shrm.org on July 22, 2004.
21Goetzel, R. Z., Long, S. R., Ozminkowski, R. J., Hawkins, K., Wang, S., & Lynch, W. (2004). Health, absence, disability, and presenteeism cost estimates of certain physical and mental health conditions affecting U.S. employers. Journal of Occupational and Environmental Medicine, 46 (4), 398-412.
22VanDerWall, S. (1998, Nov.). Survey finds unscheduled absenteeism hitting 7-year high. HR News, p. 14.
23Bulletin to management (2004, 1st Quarter). Washington, DC: Bureau of National Affairs.
24Workplace epidemic: Absenteeism rises for third year in a row (1996, Feb. 27). The Wall Street Journal, p. A1. See also Cost of absenteeism for British employers (1995, Dec.). Manpower Argus, no. 327, p. 6.
25Alvarez, L. (2004, July 25). Oil riches spoil Norwegians' work ethic. The Denver Post, p. 24A.
26Macy, B. A., & Mirvis, P. H. (1983). Assessing rates and costs of individual work behaviors. In S. E. Seashore, E. E. Lawler, P. H. Mirvis, & C. Camann (eds.), Assessing organizational change. New York: Wiley, pp. 139-177.
27Bulletin to management. (2004). Op. cit.
28Martin, D. C., & Bartol, K M. (1985). Managing turnover strategically. Personnel Administrator, 30 (11), 63-73.
29Cascio, W. F. (2000). Costing human resources: The financial impact of behavior in organizations (4th ed.). Cincinnati, OH: South-Western.
30For more on this subject, see ibid.
31Tired of employee turnover? Just appoint a retention czar. (1998, Nov. 10). The Wall Street Journal, p. A1.
32For additional strategies, see Cascio, W. F., & Fogli, L. (2004, April). Talent acquisition: New realities of attraction, selection, and retention. Workshop presented at the annual conference of the Society for Industrial and Organizational Psychology, Chicago. See also Steel, R. P., Griffeth, R. W., & Hom, P. W. (2002). Practical retention policy for the practical manager. Academy of Management Executive, 16 (2), 149-159. See also Griffeth, R. W., Hom, P. W., & Gaertner, S. (2000). A meta-analysis of antecedents and correlates of employee turnover: Update, moderator tests, and research implications for the next millennium. Journal of Management, 26, 463-488.
33Cascio & Fogli (2004), op. cit.
34Abbott, J., De Cieri, H., & Iverson, R. D. (1998). Costing turnover: Implications of work/family conflict at management level. Asia Pacific Journal of Human Resources, 36 (1), 25-43. See also Branch, S. (1998, Nov. 9). You hired 'em. But can you keep 'em? Fortune, pp. 247-250.
35Solomon, J. (1988, Dec. 29). Companies try measuring cost savings from new types of corporate benefits. The Wall Street Journal, p. B1.
36Why your workers might jump ship. (1999, March 1). Businessview, 82-97.
37Arthur, M. (2003). Share price reactions to work-family initiatives: An institutional perspective. Academy of Management Journal, 46, 497-505. See also Edwards, J. R., & Rothbard, N. P. (2000). Mechanisms linking work and family: Clarifying the relationship between work and family constructs. Academy of Management Review, 25, 178-199.
38Bardoel, E. A., Tharenou, P., & Moss, S. A. (1998). Organizational predictors of work-family practices. Asia Pacific Journal of Human Resources, 1-49.
39Ibid.
40Onsite childcare can reduce absenteeism, turnover. (2003, Sept. 9). HR News Briefs. Accessed on July 23, 2004 from http://www.shrm.org .
41Bright Horizons Family Solutions. (1997). The financial impact of on-site child care. Port Washington, NY: Author.
42Johnson, A. A. (1995, August). The business case for work-family programs. Journal of Accountancy, 53-57.
43Bright Horizons Family Solutions, op. cit.
44Ibid.
45Burke, M. E. (2003, Dec.). SHRM 2003 eldercare survey. Alexandria, VA: Society for Human Resource Management.
46The MetLife study of employer costs for working caregivers. (1997, June). Westport, CT: Metropolitan Life Insurance Co.
47Scharlach, A. E. (1994). Caregiving and employment: Competing or complementary roles? The Gerontologist, 34, 378-385.
48Grover, S. L., & Crooker, K. J. (1995). Who appreciates family-responsive human resource policies: The impact of family-friendly policies on the organizational attachment of parents and non-parents. Personnel Psychology, 48, 271-288.
49Johnson, op. cit.
50Ibid.
51Gantz Wiley Research. (2004, Feb. 24). Finding the missing piece: Understanding your vulnerability to talent loss. Minneapolis, MN: Author.
52Families and Work Institute. (1993). An evaluation of Johnson & Johnson's work-life programs. NY: Author.
53Arthur (2003), op. cit.
54Johnson, op. cit.
55Cascio, op. cit. See also Cascio, W. F. (1989). Using utility analysis to assess training outcomes. In I. L. Goldstein (ed.), Training and development in organizations. San Francisco: Jossey-Bass, pp. 63-88.
56Mattson, B. W. (2003). The effects of alternative reports of human resource development results on managerial support. Human Resource Development Quarterly, 14 (2), 127-151.
57Cascio, op. cit. See also Boudreau, J. W., & Ramstad, P. M. (2003). Strategic industrial and organizational psychology and the role of utility analysis models. In W. C. Borman, D. R. Ilgen, & R.J. Klimoski (eds.), Handbook of psychology, vol. 12, Industrial and organizational psychology, pp. 193-221. Hoboken, NJ: Wiley. Boudreau, J. W. (1991). Utility analysis for decisions in human resource management. In M. D. Dunnette & L. M. Hough (eds.), Handbook of industrial and organizational psychology (vol. 2). San Francisco: Jossey-Bass, pp. 621-745. For a contrarian view, see Skarlicki, D. P., Latham, G. P., & Whyte, G. (1996). Utility analysis: Its evolution and tenuous role in human resource management decision making. Canadian Journal of Administrative Sciences, 13 (1), 13-21.
58Morrow, C. C., Jarrett, M. Q., & Rupinski, M. T. (1997). An investigation of the effect and economic utility of corporate-wide training. Personnel Psychology, 50, 91-119.
59For more on break-even analysis, see Boudreau, J. W. (1984). Decision theory contributions to HRM research and practice. Industrial Relations, 23, 198-217.
60Morrow et al., op. cit.
61Meyer, H. H., & Raich, J. S. (1983). An objective evaluation of a behavior modeling training program. Personnel Psychology, 36, 755-761.
62Ibid., p. 761.
63Low, J., & Siesfield, T. (1998). Measures that matter. Boston: Ernst & Young. See also Grant, L. (1998, Jan. 12). Happy workers, high returns. Fortune, p. 81.
64The founder and chairman of SRI Gallup, Donald Clifton, has co-authored two books on this very theme. Rath, T., & Clifton, D. O. (2004). How full is your bucket? Positive strategies for work and life. Lincoln, NE: Gallup Press. See also Clifton, D. O., & Nelson, P. (1992). Soar with your strengths. NY: Delacorte Press.
65Kraut, A. I. (1996). Organizational surveys. San Francisco: Jossey-Bass. See also Does survey feedback make a difference? (1993, Fall). Decisions … Decisions, pp. 1, 2.
66Pfeffer, J., & Veiga, J. F. (1999). Putting people first for organizational success. Academy of Management Excecutive, 13 (2), pp. 37-48.
Managing Human Resources
The Financial Impact of Human Resource Management Activities
ISBN: 9780072987324 Author: Wayne F. Cascio
Copyright © The McGraw-Hill Companies (2005)