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Student

Research Proposal

1.0 DETERMINANTS OF OPTIMAL UTILIZATION OF BUSSINESS INTELLIGENCE SYSTEMS

2.1 Background of the study

The field of business intelligence is rapidly growing. Several changes have been seen in the way businesses conduct their activities. Information Technology has enhanced customer experience. Majorly, the trends are coming from increasing digitization. Organizations are increasingly embracing IT to execute their functions. Business intelligence has been used to enhance efficiency by many firms. Business intelligence analytics are used in design and development of customer experiences (Prahalad and Krishnan, 2008). Globalization has impacted the way firms respond to customer needs. Many customers are changing their preferences. Therefore, businesses are working hard to transform their functions at the same pace (Davenport 2006). By doing a cross-examination on the strategies employed by firms in coping up with the competitive environment, Information and communications technology is the main basis of the rivalry. There are a lot of competitors, not only in the domestic market, but also in the foreign markets. Many engage in producing similar products. Others also have embarked in the production of substitutes. However, the main challenge facing the enterprises is the choice of the strategies to pursue to be ahead of the rivals. The plans embraced by most of these entities embark on Information and technology innovations. Strategic planning is employing IT in its formulation. This is for the purpose of tailor making customer experience. This has enabled some organizations to thrive in the competitive environment. The wave of globalization is inevitable. It has not only presented many challenges to the economies and their institutions, but also given them new opportunities. It is now up to managers to enact new ways of doing business. The structuring of new plans should be done at the same pace at which technologies are changing. Failure to manage organizational operations properly will automatically lead to collapsing of many organizations. In order for businesses to stay on the safe side, the must take advantage of the available information systems technologies to develop a proper competitive edge. The new plans that are formulated by the managers should be well supported by necessary information. The companies should conduct thorough research to determine the efficiency and effectiveness of their plans. Precondition for success of new innovated strategies postulate that the formulation should be based on a well collected and analysed data. It is a fact that companies are being faced by many caveats which range from domestic to global environment. Therefore, for planners to come up with the most efficient and effective plans, they must first analyse a wide range of information. A large volume of data should be analysed. The capacity of the organizations to handle this data will determine the outcomes of their strategic planning. Real time information should be analysed from time to time. The analysis is for the benefit of decision makers, whole will have an advantage of spotting new trends and taking proactive strategies to survive in the changing environment. These scenarios are attracting the attention of decision makers to utilize Business information system analytics in order to maintain their progress (Davenport, 2006). The main challenge for utilization of business information in decision making is the conflict of interests between uses of intuition or information technology solutions. The relationship between technology, organization and technology has been expounded by several managers, though quite a god number have not conceptualized the associated ideology. An evaluation of the critical success factors for firms shows that firms are differentiated by their ability to innovate new ways of serving their customers. This is a success factor which mainly relies on how extensive they use business intelligence Analytics.

1.2 statement of the problem

Organizational functions should be changed in line with changes in the business environment. The invention of new technologies is being seen as a factor hindering organizational growth. On the other hand, organizations which accurately forecast these new innovations are better placed. Business intelligence analytics are majorly being used to enhance the efficiency of firm’s functions. However, there is substantial variation in the utilization. The application of new technologies into an institutions functions increases the returns, and consequently higher profitability is achieved. This research study aims at identifying BIA factors which enhance sophistication of enterprise functions. Furthermore, it will study factors which constrain the adoption of new technologies. This research will assess the factors which affect usage of business intelligence systems. It will therefore bridge the gap between innovation and usage of the new applications.

1.3 Research Questions

1. How does intensity of competition affect business intelligence systems?

2. How does sophistication of data related infrastructure affect the adoption of BIA?

3. How does integration of organizational functions influence the extend of use of business intelligence systems?

1.4 Research Objectives

Main objective

To evaluate factors affecting optimal utilization of business information systems

Specific objectives

1. To examine how intensity of competition influences business intelligence systems usage

2. To assess how extend of sophistication of data infrastructure affects extent of use of BIA

3. To investigate how integration of organizational functions affect extensive use of business information systems.

1.5 Importance of the study

The study will present an opportunity for organizations to invest wisely. It will help organization to identify areas of improvement for them to maximize use of business intelligence systems.

1.6 Scope of the study

The study will evaluate BIA usage in Coca Cola limited company.

1.7 Limitations

The study will be constrained by time frame and stipulated budget.

CHAPTER 2

Literature Review

1.1 Innovation Diffusion Literature

Companies navigate technology innovation through adoption. They take time to experience new inventions. Learning through assimilation is an enabler that aids in formation of concrete usage background (Armstrong and Sambamurthey, 1999). Therefore, several studies have discovered that extensive utilization relies on adoption. An institution will hence take time to get used to Business intelligence technology. Adoption is embraced by the agencies in order to legitimize and ration resources. This experience helps an entity to plan for resources to be used by the innovations (DeLone, 1992).

1.2 Business Intelligence and analytics literature

Business intelligence entails collection, collating, analysis and interpretation of data from diverse source in order to form essential insights. The focus of this activity is to create value addition strategies (Harris, 2007). The main use of Business intelligence analytics is to create dynamic capabilities (Trkman, 2010). For instance, IT strategies used by supply chain departments have been discovered to contribute positively to performance and profitability. Business intelligence infrastructure s flexible. It enables entities to replicate strategies to match system dynamics (Chen, 2012).

1.3 Overview of Literature

Many studies have emphasized on how business intelligence analytics promote value addition objectives. However, very few known studies have explained the determinants of optimal usage of business intelligence systems and infrastructure. This motivated the study.

CHAPTER 3

2.0 Research Methodology

2.1 Data and Variable Definition

Data will be collected by use of primary as well as well as secondary sources. Several publications will be reviewed, for instance, (BIAIM) survey will be considered. It is a reliable IT exploration which is a highly reliable secondary source. It collects and analyses data on leading multinationals and investors. Interviews will be conducted. They will involve the managers of the company.

2.2 Variables

Dependent variable

Extend of usage of Business Intelligence systems:

Independent Variables

The study will answer questions on: to what extend has the management integrated all its activities? How intensity of completion has enabled IT innovations, and degree of sophistication of the data infrastructure.

2.3 Target group Sample size

It will encompass coca cola Limited branches. This study will involve a sample of 200 international branches.

2.4 Data Analysis

Data will have estimated using OLS. STATA package will be employed.

References:

Iyer, Laksmi, Lina Zhou, and Souren Paul. "Introduction to Data Science and Analytics for Collaboration Minitrack." (2017).

Marjanovic Olivera, Barbara Dinter, and Thilini Ariyachandra. "Introduction to Organizational Issues of Business Intelligence, Business Analytics and Big Data Minitrack." Proceedings of the 50th Hawaii International Conference on System Sciences. 2017.

Sharda, Ramesh, et al. Business intelligence: A managerial approach. Pearson Higher Ed, 2017.