COMPAR AND CONTRAST DECISION MAKING

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Journal of Business and Behavioral Sciences

Vol 25, No.2; Fall 2013

17

CRISIS DECISION-MAKING: UNDERSTANDING THE

DECISION-MAKING PROCESS DURING

EMERGENCIES

Kenneth I. Goldberg

National University

ABSTRACT: Organizations going through emergencies have to work with a

variety of stakeholders, or system of stakeholders, as they prepare for, recover

from and return to normalcy. As in any organization, decisions made by one

stakeholder can have consequences on other stakeholders. The challenge facing

emergency and business continuity managers is developing procedures that allow

system stakeholders to better understand the decisions being made and thereby

mitigate the impact of unintended consequences. This paper reviews the related

literature on three theories that can be applied to organizational decision-making

and how they can assist leaders better understand the decisions organizations

make during emergencies. The paper concludes with a model that can be

generalized to any organization or system for minimizing unintended

consequences and improving the transparency of decision-making during

emergency situations.

INTRODUCTION

As organizations become more and more complex with ever increasing

stakeholder interests, a challenge facing emergency and business continuity

managers is addressing the interconnectedness of organizations and the impact it

has on decision making. Palmberg (2009) and Ng (2009) describe this

interconnectedness as a complex adaptive system where dynamic and

interdependent connections exist between agents. On an international scale these

events can include technological incidents, terror-related risks, food safety and

infectious diseases. The same can be said for disasters on a national or regional

level such as oil spills, flooding, and on a more local scale earthquakes and

tornados. Similarly, the interdependence of decision-making can also be applied

to the private sector in business continuity responses for events such as

information security breaches, computer hacking and terrorist acts. Due to the

complexity of these systems, the decisions stakeholders make will result in

consequences on other organizations as well.

The challenge emergency and business continuity managers have during these

situations is accurately determining the interconnectedness and consequences of

actions when attempting to return to a sense of normalcy. Although it is easy to

see the interconnectedness of actions on a major scale, it also occurs on a smaller

scale between local or regional governments, small businesses and nonprofits.

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For example, one of the most common lessons learned from looking back on

emergency actions has to do with communication efforts. Kettl (2006) described

the various systems of communication between federal, state and local agencies

as being a “wicked problem” (273) that prevented essential support from being

provided to communities along the Gulf Coast of the United States during

Hurricane Katrina. Similar “wicked problems” (Kettl, 2006) often arise on a

more local level with businesses and governments trying to respond to

emergencies.

Developing methodologies to identify the interrelatedness of decisions between

organizations can be challenging during normal operations. However, identifying

relationships and their intended and potentially unintended consequences during

crisis situations can be particularly challenging. By developing a model to

analyze decision-making inputs from a variety of perspectives, emergency and

business continuity professionals may be able to better predict the outcomes of

their decision-making, reduce unintended consequences and more quickly return

to normalcy.

DISCUSSION

Complexity Theory: Complexity theory attempts to explain how organizations

behave. Complexity theory suggests there are underlying assumptions of

organizational behavior and external forces that drive decision-making.

According to Morrison (2005), organizations, like society, are dynamic open

systems that are sensitive to forces. They are influenced by feedback and their

interconnectedness to other organizations.

According to Stacey, Griffin and Shaw (2000), individual actions play a major

role in how an organization will react in times of emergencies. The authors

suggest that one must understand how individuals will act during a crisis to

understand how and what decisions may be made in responding to emergencies

or disasters.

Similarly, Wheatley (1999) discusses how change can cause chaos in

organizations. Wheatley suggests that in leading through change one must

understand the underlying principles and vision of the organization to accurately

determine how it will act in a crisis. To better understand decision-making during

emergencies, Wheatley (1999) and Stacey, Griffin and Shaw (2000) suggest that

one has to also understand the underlying assumptions (values and shared vision)

of an organization to understand crisis decision-making.

Structuration Theory: Structuration theory attempts to explain decisions

through the lens of organizational values and culture. Similar to organizational

culture, Morrison (2005) suggests organization routines can be powerful

influences in organizations.

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Stones (2005) suggests decisions made by individuals in organizations are

influenced by the values and culture an organization practices. According to

Stones (2005) organizational culture can replace the individual values in

decision-making. As a result, understanding organizational culture and values

can help predict decision-making during an emergency.

In the field of nursing, research suggests that structuration theory influences a

culture of safety. According to Groves, Meisenbach and Scott-Cawiezell (2011) a

culture of safety in nursing strongly influences practices. The authors suggest that

there can be competing cultures in the medical facility system that may

compromise one culture over another resulting in unintended consequences when

decisions are made. Applying the concept of competing cultures to emergency

and disaster management, one can suggest that competing cultures may exist

between interrelated governmental or business systems. Understanding the

complex relationships between system stakeholders may mitigate unintended

consequences of decisions.

Systems Theory and Systems Thinking: Systems theory attempts to explain the

causal relationships of actions taken within and on a system. Checkland (2006),

in his study of Soft Systems Thinking, suggests that an organization has a “view”

of itself that can influence how it reacts to the internal and external forces of the

system in which it operates. Checkland argues that each organization interprets

situations differently when trying to solve a problem or react to an influence.

Other social science research supports Checkland’s work on Soft Systems

Thinking. Zexian and Xahui (2010) suggest that organizations are self-organizing

and adaptive to internal and external forces when responding to influences like

emergencies. Skarzauskiene (2010) suggests that leaders need to understand

reasons for change and the needs of others in their system when new influences

are thrust on them. Similarly, Cundill, Cumming, Biggs and Fabrecius (2011)

and Mello (2008) suggest that change is contextually driven and creates new

needs and variables that have to be addressed by an organization. Research

suggests that system theory can explain the causal relationships within and

between organizations so needs can be addressed in a holistic perspective rather

than as independent actions.

Systems thinking is the study of the causal relationships on a system (Senge,

1994 and Senge, Smith, Kruschwitz, Laur and Schley, 2010). It is one way for

emergency and business continuity managers to begin to understand how actions

taken by one organization can impact stakeholders when responding to

emergencies. Senge (1994) and Senge et al. (2010) argue that by studying the

system of an organization (both its internal procedures and operations in the

external environment), one can understand the interrelatedness of decisions.

Senge (1994) and Senge et al. (2010) suggest that understanding the

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interrelatedness of actions within an organization and among stakeholders can

help managers provide services that are coordinated, intended and sustainable.

Using the principles of systems thinking, Mitchell (2006) discusses how two

other concepts can help clarify coordination efforts, quicken response times and

promote returning to normalcy. Referring to the disciplines of the Learning

Organization (Senge 1994), Mitchell (2006) suggests that understanding an

organization’s Mental Models and Shared Vision can help one understand

decisions made by organizations in times of crisis. Mental Models are the

defensive mechanisms of individuals that prevent seeing the need for change

(Senge 1994). These models can prevent an organization from addressing the

need for change during emergencies. As a result, an organization tries to respond

to an emergency with their routine business operations which may no longer be

appropriate. Shared Vision is the common vision or guiding purpose of the

organization that is shared among its members (Senge 1994). Similar to Mental

Models, an organization’s Shared Vision can prevent it from seeing the need to

change given new circumstances during emergencies. Understanding how Mental

Models and Shared Vision can impact decision-making in an emergency can help

overcome resistance to necessary change.

Similarly, Flood (1999) suggests that understanding systems from four

perspectives can further define interrelationships within and among

organizations. Flood (1999) uses systems thinking as a way of solving

organizational issues or dilemmas (6). According to Flood (1999) systems

thinking develops a deeper understanding of the interrelatedness of

organizational actions.

Flood’s four proposes of a systems thinking model consists of the following:

(1) Systems Process – the efficiency and reliability of the system

(2) Systems Structure – the effectiveness of the system

(3) Systems of Meaning – does the system do what we want it to do?

(4) Systems of Knowledge-Power - how is knowledge transmitted within

the system

In addressing interrelatedness of emergency or business continuity actions, one

can suggest that Flood’s Systems of Meaning could help in understanding how

organizations act in times of disasters.

Understanding what drives the decision-making process of an organization can

develop responses that can best support system-wide efforts during emergencies.

Even more importantly, one can also identify potentially unintended

consequences from decisions that left unaddressed could cloud transparency in

decision-making and delay an organization’s return to normalcy.

Systems Thinking/Complexity/Structuration Decision-Making Model: By

combining the concepts of Systems Thinking, Complexity Theory, and

Structuration Theory, one can envision a model for decision-making in complex

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environments like emergencies and disasters. As a result, decisions can be made

that reduce unintended consequences, provide better coordinated responses and

improve decision-making transparency.

As indicated in Figure 1 in the Systems

Thinking/Complexity/Structuration Decision-Making Model, organizations:

(1) identify decision-making inputs such as organizational values, vision,

mental models, underlying assumptions and culture;

(2) identify business processes and procedures;

(3) identify potential system variables that can be impacted by a change

event;

(4) identify decision-making inputs that can impact other stakeholders

through intended and unintended consequences;

(5) collaborate with system stakeholders to develop processes that best

support each other; and

(6) evaluate responses and incorporate them into new business processes

where appropriate.

By recognizing a system’s underlying assumptions such as

organizational values, vision and culture; business processes and procedures; and

potential variables that can impact a change event, collaborative actions can then

be developed to best support the needs of the system and its members. The result

will be improved responses and transparency of decision-making that takes into

account the underlying assumptions of organizations.

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Figure 1

Systems Thinking/Complexity/Structuration Decision-Making Model

Goldberg, 2013

Model Application: One can see this process taking place during table-top

exercises of an emergency. In a recent exercise, a county office of emergency

services representative was discussing the role that local hospitals would need to

play in providing medical support to the community and first responders. The

emergency service representative suggested that the hospitals would provide the

necessary beds and space to care for the emergent needs of the community. The

hospital representative said that during normal operations, they would be able to

do this. However, they might not be able to provide the support immediately after

an emergency. The hospital’s initial response had to be ensuring the care of

existing patients. In this case, the emergency services representative made a

decision based on routine operations and did not take into account the adaptive

changes required on the system given the new variables of the emergency. These

new variables included the new requirements of the hospital to ensure the care

and safety of their existing patients before accepting potentially large numbers of

new patients from the emergency. After a period of collaboration, it was

determined that the emergency services’ need to support the community

(established by their culture, values and vision) and the hospital’s new

requirement for first supporting their existing patients (a new variable introduced

by the emergency) could both be supported. One possible answer was to set up a

temporary triage tent that provided the emergent medical needs from the

Identify underlying values, principles, vision

and culture of stakeholders

Identify business processes of system

stakeholders

Identify potential system variables during

an emergency

Identify decision-making inputs for intended and

unintended consequences

Develop collaborative responses that support decision-making inputs

Evaluate repsonses and incorporate them into new business proceses

Journal of Business and Behavioral Sciences

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emergency while the hospital ensured the safety of their existing patients. The

information about the temporary triage center was then fed back into the

decision-making process and incorporated into emergency plans. As a result, the

intended consequence of providing the necessary emergency medical support

was addressed with transparency in the decision-making process and with no

expected unintended consequences.

CONCLUSION

During emergencies and disasters organizations strive to recover and return to

normalcy in complex systems environments. To assist in the decision-making

process, an understanding of the system in which an organization operates; and

the values, assumptions and cultures of the stakeholders can help maximize

intended consequences, reduce unintended consequences and improve

transparency. As a result, looking at systems processes and their values,

assumptions and culture of stakeholders, organizations can more effectively and

expeditiously return to normalcy after an emergency or disaster.

REFERENCES

Checkland, R.B., and Poulter, J. (2006). Learning for action, a short definitive

account of soft systems methodology and its use for practitioners,

treachers and students. Chichester: Wiley.

Cundill, G., Cumming, G. S., Biggs, D., and Fabricius, C. (2011). Soft Systems

Thinking and Social Learning for Adaptive Management. Conservation

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Flood, R. (1999). Rethinking the fifth discipline, learning within the unknown.

New York: Routledge.

Groves, P. S., Meisenbach, R. J., and Scott-Cawiezell, J. (2011). Keeping

Patients Safe in Healthcare Organizations: A Structuration Theory of

Safety Culture. Journal of Advanced Nursing, 67, 1846-1855.

Kettl, D. (2006). Is the Worst Yet to Come? The ANNALS of the American

Academy of Political and Social Science, 604, 273-287.

Mella, P. (2008). Systems Thinking: The Art of Understanding the Dynamics of

Systems. The International Journal of Learning, 15, 79-88.

Morrison, K. (2005). Structuration Theory, Habitus and Complexity Theory:

Elective Affinities or Old Wine in New Bottles? British Journal of

Sociology of Education, 26, 311-326.

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Ng, P. (2009), Examining the use of new science metaphors in learning

organization, The Learning Organization, 16, 168-80.

Palmberg, K. (2009). Complex Adaptive Systems as Metaphors for

Organizational Management. The Learning Organization, 16, 483-498.

Skarzauskiene, A. (2010). Managing Complexity: Systems Thinking as a

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Senge, P. (1994). The fifth discipline: the art and practice of the learning

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Senge, P., Smith, B., Kruschwitz, N., Laur, J., and Schley, J. (2010). The

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Stacey, R., Griffin, D., and Shaw, P. (2000). Complexity and Management: Fad

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Wheatley, M. (1999). Leadership and the new science. San Francisco: Berrett-

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Zexian, Y., and Xuhui, Y. (2010). A revolution in the field of systems thinking-a

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