Business Intelligence In Organizations Research Articles

Navigating the acceptance of implementing business intelligence in organizations: A system dynamics approach

The rise of information technology has transformed the business landscape, with organizations increasingly relying on information systems to collect and store vast amounts of data. To stay competitive, businesses must harness this data to make informed decisions that optimize their actions in response to the market. Business intelligence (BI) is an approach that enables organizations to leverage data-driven insights for better decision-making, but implementing BI comes with its own set of challenges. Accordingly, understanding the key factors that contribute to successful implementation is crucial.This study examines the factors affecting the implementation of BI projects by analyzing the interactions between these factors using system dynamics modeling. The research draws on interviews with five BI experts and a review of the background literature to identify effective implementation strategies. Specifically, the study compares traditional and self-service implementation approaches and simulates their respective impacts on organizational acceptance of BI. The results show that the two approaches were equally effective in generating organizational acceptance until the twenty-fifth month of implementation, after which the self-service strategy generated significantly higher levels of acceptance than the traditional strategy. In fact, after 60 months, the self-service approach was associated with a 30% increase in organizational acceptance over the traditional approach. The paper also provides recommendations for increasing the acceptance of BI in both implementation strategies. Overall, this study underscores the importance of identifying and addressing key factors that impact BI implementation success, offering practical guidance to organizations seeking to leverage the power of BI in today's competitive business environment.

Organizational business intelligence and decision making using big data analytics

Business intelligence helps gather essential information from a wide variety of unstructured data and convert them into actionable information that allows firms to make informed policy decisions and improve business efficiency and productivity. The challenges facing any organization in business intelligence and decision-making include plan failure, lack of preparation, resource failure, and risk-taking capability.This paper proposes a framework of Optimized Data Management using Big Data Analytics (ODM-BDA) to increase the intelligent organizational effectiveness and decision-making analysis in organizations. A backtracking method is introduced in business intelligence and decision-making environments to enhance plan failure and risk-taking ability. The steep optimized strategy is incorporated in the ODM-BDA framework to improve the training plan and manage money. The research data provided an essential set of acceptance research for these models in increasing the relative level of effectiveness and performance.The simulation analysis is performed based on true positive analysis, performance analysis, error analysis, and accuracy analysis, proving the proposed framework's reliability.

A research on the use of business intelligence for academic research

PurposeAt the moment, business intelligence (BI) is known as the way for analyzing data in an organization. Simple search in the literature shows that there are many papers which discuss about BI applications and related matters. In addition, there are different approaches and tools that support using BI in organizations. This paper aims to focus on the use of BI tools for academic applications, and it describes how the academic area will benefit from using BI.Design/methodology/approachThis paper is based on using BI tools and other library studies.FindingsA process for using BI tools in academic applications has been presented. Also, two cases are stated about activities of e-learning participants and literature analysis, for which BI tools are used to analyze data and simplify difficult tasks.Originality/valueThis paper shows how BI tools can be used for research and academic applications.

Factors to Determine Business Intelligence Implementation in Organizations

In this study, we deploy review centric research of User Satisfaction, Cost Reducing, and Time Optimization impacting decision making on whether to implement Business Intelligence in organizations. The purpose of this paper is to present a literature review to examine the association between Business Intelligence and these three different factors. The primary goal of this study was to investigate the user’s satisfaction, cost reducing, and time optimization implications in order to choose Business Intelligence as a business tool. A comprehensive literature review of business intelligence created a theoretical foundation for this paper. Using the grounded theory, a model was developed and evaluated based on how User Satisfaction, Cost Reducing and Time Optimization impacts managerial decision-making using Business Intelligence. Using data from JSTOR and Academic Search Premier databases a new model is presented to encapsulate the highly dynamic interaction of user satisfaction, cost reducing, and time optimization with business intelligence to provide elements to consider the implementation of BI in a firm. This model highlights three key aspects that administrators consider in order to determine the possibility of taking Business Intelligence as an instrument in their daily duties. The theoretical model is limited to three factors only, which could be extended in future studies on this topic. Moreover, this model has been discussed using a theoretical perspective whereas practical contributions has been given less attention. This study provides an exciting opportunity to advance our knowledge of business intelligence to efficiently and flexibly help companies make the right decisions in real time, grasp business opportunities, and gain competitive advantage.

Factors to Determine Business Intelligence Implementation in Organizations

In this study, we deploy review centric research of User Satisfaction, Cost Reducing, and Time Optimization impacting decision making on whether to implement Business Intelligence in organizations. The purpose of this paper is to present a literature review to examine the association between Business Intelligence and these three different factors. The primary goal of this study was to investigate the user’s satisfaction, cost reducing, and time optimization implications in order to choose Business Intelligence as a business tool. A comprehensive literature review of business intelligence created a theoretical foundation for this paper. Using the grounded theory, a model was developed and evaluated based on how User Satisfaction, Cost Reducing and Time Optimization impacts managerial decision-making using Business Intelligence. Using data from JSTOR and Academic Search Premier databases a new model is presented to encapsulate the highly dynamic interaction of user satisfaction, cost reducing, and time optimization with business intelligence to provide elements to consider the implementation of BI in a firm. This model highlights three key aspects that administrators consider in order to determine the possibility of taking Business Intelligence as an instrument in their daily duties. The theoretical model is limited to three factors only, which could be extended in future studies on this topic. Moreover, this model has been discussed using a theoretical perspective whereas practical contributions has been given less attention. This study provides an exciting opportunity to advance our knowledge of business intelligence to efficiently and flexibly help companies make the right decisions in real time, grasp business opportunities, and gain competitive advantage.

Toward Better Understanding and Use of Business Intelligence in Organizations

ABSTRACTThis article provides valuable information on the chances and the possibilities of Business Intelligence applying in organizations. Three theories—the Resource-Based View, Maturity Models, and Critical Success Factors—were used to investigate Business Intelligence issues. They provided a comprehensive view on Business Intelligence. Using a semi-structured interview method, the results from 20 organizations applying Business Intelligence are presented. Finally, based on the analysis of the literature and on the qualitative surveys, conclusions for future research in Business Intelligence are provided.

Business Intelligence in Organization. Benefits, Risks and Developments

AbstractBased on the literature review, significant benefits have been identified out of the implementation of Business Intelligence. However, risks have been also discovered, and they were mainly connected with an improper change management during the process of the BI systems implementation. Further direction for a development of BI system has been discussed, focusing in particular on maturity models available in the literature. The paper highlights the fact that maturity models currently available in the literature do not take comprehensively into account all aspects of the development of BI in organizations. Therefore, there is a need for further research in this field of science.

Open Business Intelligence for Better Decision-Making

Decision-making is a crucial, yet challenging task in enterprise management. In many organizations, decisions are still made based on experience and intuition rather than on facts and rigorous approaches. This is often due to lack of data, unknown relationships between data and goals, conflicting goals and poorly understood risks. The success of organizations depends on fast and well-founded decisions taken by relevant people in their specific area of responsibility. Business Intelligence (BI) is a collection of decision support technologies for enterprises aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. In this paper, the authors review the concept of BI as an open innovation strategy and address the importance of BI in revolutionizing knowledge towards economics and business sustainability. The main objective is to discuss why the concept of BI has become increasingly important and presents some of the top key applications and technologies to implement open BI in organizations, which would like to enter into the new market and operate on a global scale.

Factors influencing business intelligence (BI) data collection strategies: An empirical investigation

This paper examines external pressures that influence the relationship between an organization's business intelligence (BI) data collection strategy and the purpose for which BI is implemented. A model is proposed and tested that is grounded in institutional theory, research about competitive pressure, and research about the purpose of BI. Two data collection strategies (comprehensive and problem driven) and three BI purposes (insight, consistency, and transformation) are examined. Findings provide a theoretical lens to better understand the motivators and the success factors related to collecting the huge amounts of data required for BI. This study also provides managers with a mental model on which to base decisions about the data required to accomplish their goals for BI.