Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other

: Business Intelligence (BI) and SMEs are two distinctive research domains but greater interaction between these two entities can offer the effective learn from each other. This interaction has been consider in conducting the changing environment. This interaction does only strengthen individual insights of BI and SMEs, it contributes to the business environmental performance. Although research on BI and SMEs is vast to date, limited focus was given on learning aspect between BI and SMEs. Therefore, this study is aimed to analyse literature and explore an integrated view of literature analysed on how BI and SMEs learn from each other and contributes to the business environmental performance. A qualitative content analysis was conducted for the procedure, which considers 43 articles for data source. Findings of the literature review suggest enhancing capability of SMEs and new innovation of BI, which may affect each other. Findings of this study may become useful for further research in terms of BI implementation success

Antecedents of Business Intelligence Implementation for Addressing Organizational Agility in Small Business Context

Research on business intelligence (BI) has been rapidly proliferated in the field of information systems (IS). However, a limited number of studies has discovered its practical value and impact in business sectors. A lack of research on BI implementation specifically within small businesses may have an adverse impact on the effective decision making, especially to meet the demand of their organizational agility. The aim of this study is to conduct a theoretical analysis to identify antecedents of BI implementation in the small business context for improving the decision-making capability towards organizational agility. We operate a literature survey within the IS research domain to reveal the insights about the relation between BI and organizational agility. In this regard, 75 key articles have been reviewed and analyzed to find contributions towards BI and its impact on organizational agility. It is anticipated that the important antecedents are organizational, technological and personnel capabilities for BI implementation. The findings provide valuable insights for further research on BI implementation, especially to address organizational agility in small businesses. Available at: https://aisel.aisnet.org/pajais/vol10/iss1/5

Institutionalization of Business Intelligence for Enhancing Organizational Agility in Developing Countries: An Example of Bangladesh. Dataset

This proposed research aims to explore how institutionalization of Business Intelligence (BI) can enhance organizational agility in developing countries. Business performance is increasingly affected by unanticipated emerging opportunities or threats from constant diverse changes occurring within the environment. Decision-making to cope with the changing environment becomes a challenge for taking opportunities or managing threats. Organizational agility is the ability of sensing and taking opportunities through responding to those changes with speed. As BI provides data-driven decision-making support, BI institutionalization is vital for enhancing organizational agility to make a decision for responding to the dynamic environment. However, there has been little prior research in this area focussed on developing countries. Therefore, this research addresses the research gap in how BI institutionalization in developing countries can enhance organizational agility. Bangladesh is used as an example of a developing country. A multiple case study approach was employed for collecting qualitative data using open-ended interviews. The studied data were analysed to generate new understanding of how BI institutionalization impacts organizational agility for decision-making in the context of developing countries

Institutionalization of Business Intelligence for Enhancing Organizational Agility in Developing Countries: An Example of Bangladesh

This research aims to explore how the institutionalization of Business Intelligence (BI) can enhance organizational agility in developing countries. Constant diverse changes occurring within the environment have been providing the source of various opportunities or threats for businesses that affect the stability of business performance. Decision-making to cope with the changing environment becomes a challenge for taking opportunities and/or managing threats. Making an effective decision for responding to the changing environment necessitates scanning the changing environment. Organizational agility is the ability to sense and respond to those changes with speed. Having data access to detect and anticipate the studied environment for making a decision is required for achieving organizational agility. BI assimilates, processes, analyzes, and transforms raw data into information to support decision-making. BI provides data-driven decision-making support. Therefore, BI should be designed and implemented to enhance organizational agility to manage anticipated and unanticipated changes occurring within the environment. BI institutionalization is the process of culture cultivation of using BI to support data-driven decision-making across the business. This research proposes that increased institutionalization of BI can enhance the organizational agility of a business. However, there has been little prior research in this area, focusing on developing countries. Therefore, this research addresses the research gap in how BI institutionalization in developing countries can enhance organizational agility. A literature review develops a conceptual model proposing a positive association between BI institutionalization and organizational agility. The conceptual model encompasses ten antecedents for BI institutionalization and four consecutive stages (informal, operational, divisional, and corporate) used to measure the maturity level of BI institutionalization. A multiple case study approach was conducted for collecting qualitative data using semi-structured interviews. Bangladesh is used as an example of a developing country. Data were collected from five case studies from the banking industry in Bangladesh. Following the interpretivism paradigm, the studied data were inductively analyzed to generate a new understanding of how BI institutionalization impacts organizational agility for decision-making in the context of developing countries. These findings were used to find support/refinement of the conceptual model. The research findings suggest that different case studies have different maturity levels of BI institutionalization depending on the BI antecedents. The research findings suggest that the maturity of BI institutionalization for the case studies 1 (A), 2 (B), 3 (C), 4 (D), and 5 (E) have been identified at operational, operational, divisional, corporate, and corporate levels associated with weaker, weaker, fair, stronger, and stronger agility, respectively. The research has practical, theoretical, knowledge-focused, and methodological contributions

Analysis of Interaction between Business Intelligence and SMEs: Learn from Each Other

Abstract: Business Intelligence (BI) and SMEs are two distinctive research domains but greater interaction between these two entities can offer the effective learn from each other. This interaction has been consider in conducting the changing environment. This interaction does only strengthen individual insights of BI and SMEs, it contributes to the business environmental performance. Although research on BI and SMEs is vast to date, limited focus was given on learning aspect between BI and SMEs. Therefore, this study is aimed to analyse literature and explore an integrated view of literature analysed on how BI and SMEs learn from each other and contributes to the business environmental performance. A qualitative content analysis was conducted for the procedure, which considers 43 articles for data source. Findings of the literature review suggest enhancing capability of SMEs and new innovation of BI, which may affect each other. Findings of this study may become useful for further research in terms of BI implementation success