International Journal of Business Intelligence Research 

About: International Journal of Business Intelligence Research is an academic journal published by IGI Global. The journal publishes majorly in the area(s): Business intelligence & Analytics. It has an ISSN identifier of 1947-3591. Over the lifetime, 105 publications have been published receiving 1404 citations. The journal is also known as: Business intelligence research & IJBIR.

The BI-Based Organization

Abstract: Business intelligence (BI) is an umbrella term that is commonly used to describe the technologies, applications, and processes for gathering, storing, accessing, and analyzing data to help users make better decisions. For BI-based firms, BI is a prerequisite for competing in the marketplace. Though there are several possible BI targets, it is important to understand how they differ in terms of strategic vision, level of sponsorship, required resources, impact on people and processes, and benefits. Some companies like Harrah’s Entertainment, Continental Airlines, Norfolk Southern, and Blue Cross and Blue Shield of North Carolina are exemplars of BI best practices. Despite the progress made with BI, there are still many opportunities for academic research.

Business Intelligence and Organizational Decisions

Abstract: The focus on transactional systems in the earlier decades of information management is beginning to shift toward decisions. In order to study the relationship between information and decisions, the author interviewed 32 managers in 27 organizations where an attempt to use information to support decision-making had been made. A framework involving three different relationships between information and decisions is introduced: loosely-coupled, structured human, and automated. It is suggested that loosely-coupled information and decision environments, while productive for information providers, may require too much knowledge on the part of information users to be effective. A four-step process for bringing information and decisions in closer alignment is also advanced.

What is Business Intelligence

Abstract: There has been growing corporate interest in business intelligence (BI) as a path to reduced costs, improved service quality, and better decision-making processes. However, while BI has existed for years, it has difficulties reaching what specialists in the field consider its full potential. In this paper, the authors examine disparities in how the constructs of business intelligence are defined and understood, which may impede an understanding of what BI represents to business leaders and researchers. The main objective of this study is to clearly understand this emerging concept of BI. In this regard, the authors analyze articles from the scientific and professional literature to have a comprehensive understanding of business intelligence as both a product and a process. This research proposes a global overview of the conceptual foundations of BI, which can help companies understand their BI initiative and leverage them to the strategic level.

Decision Support as Knowledge Creation: A Business Intelligence Design Theory

Abstract: The primary purpose of decision support systems (DSS) is to improve the quality of decisions. Since decisions are based on an individual’s mental model, improving decision quality is a function of discovering the decision maker’s mental model, and updating and/or enhancing it with new knowledge; that is, the purpose of decision support is knowledge creation. This article suggests that BI techniques can be applied to knowledge creation as an enabling technology. Specifically, the authors propose a business intelligence design theory for DSS as knowledge creation, a prescriptive theory based on Nonaka’s knowledge spiral that indicates how BI can be focused internally on the decision maker to discover and enhance his/her mental model and improve the quality of decisions.

The Importance of Process Thinking in Business Intelligence

Abstract: The growing field of Operational Business Intelligence (BI) has resulted in increasing interest in BI-supported Business Processes (BPs), including their management and ongoing improvement. This has led BI practitioners to consider another field–Business Process Management (BPM)–that is closely related to business performance management. However, current approaches to the BPM and operational BI integration have been limited and reduced to the problem of technical integration of BPM and BI systems. This paper argues that by adopting process- thinking in BI, further opportunities for business value creation could be discovered through systematic analysis of the non-technical aspects of BI and BPM integration, including strategy alignment, human-centered knowledge management, and ongoing improvement of BI supported processes. The authors propose a theoretical framework founded in the related research in BPM, BI, and Knowledge Management (KM) fields, describing the ways it has been used to guide ongoing empirical research in diverse case organizations across different industry sectors.