Systematic literature review on the influence of Business Intelligence (BI) capabilities on BI systems success and Firm Performance: An Asian Perspective

Author(s):  
Ai Ping Teoh ◽  
Phan KY
2019 ◽  
Vol 11 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Nadeem Ali El-Adaileh ◽  
Scott Foster

Purpose The purpose of this paper is to present a systematic literature review to determine the factors that relate to successful business intelligence (BI) system implementation. Design/methodology/approach The study has a collection of literature that highlights potential references in relation to factors for system implementation in relation to BI. There is the employment of “content analysis”, given that the study purpose is the achievement of deep understanding of the variety of factors of implementation that other researchers have previously identified. Findings An initial investigation of 38 empirical studies on the implementation of BI led to ten factors being compiled. Difficulties in implementation were found to exist in relation to the operationalisation of large numbers of factors within organisations. The implementation factors were analysed and then sorted into a descending order based upon their frequency of occurrence. Research limitations/implications The research is limited to consider BI implementation factors. Moreover, literature is collected from selected databases and journals from 1998 to 2018. Practical implications Researchers of BI may, within the future, develop models for the measurement of the implementation level of BI within industries along with the sustaining of them. Moreover, work-based learning industries can benefit by adopting the results of this study for the effective implementation of BI. The implementation factors can be seen as key constructs upon which there may be the undertaking of more statistical analyses. Originality/value The original output from this research can help researchers’ in the future in enhancing identification of studies that are relevant for the review of literature for their research.


2019 ◽  
Vol 11 ◽  
pp. 184797901987418 ◽  
Author(s):  
Mirjana Pejić Bach ◽  
Vesna Bosilj Vukšić ◽  
Dalia Suša Vugec ◽  
Ana-Marija Stjepić

Business intelligence (BI) and business process management (BPM) are widely implemented in various organizations. However, their impact on organizational performance strongly depends on their alignment. Previous research has focused mainly on large companies. Small and medium-sized enterprises (SMEs) also started to use BI and BPM in order to improve their performance. However, the research regarding this issue is scarce. The goal of the article is to examine the interrelationship of BI and BPM and their impact on organizational performance of SMEs. In order to attain this goal, a systematic literature review and a survey research on the sample of SMEs in Croatia and Slovenia have been conducted.


2021 ◽  
Vol 13 (20) ◽  
pp. 11382
Author(s):  
Dignity Paradza ◽  
Olawande Daramola

Organisations must derive adequate business value (BV) from Business Intelligence (BI) adoption to retain their profitability and long-term sustainability. Yet, the nuances that define the realisation of BV from BI are still not understood by many organisations that have adopted BI. This paper aims to foster a deeper understanding of the relationship between Business Intelligence (BI) and business value (BV) by focusing on the theories that have been used, the critical factors of BV derivation, the inhibitors of BV, and the different forms of BV. To do this, a systematic literature review (SLR) methodology was adopted. Articles were retrieved from three scholarly databases, namely Google Scholar, Scopus, and Science Direct, based on relevant search strings. Inclusion and exclusion criteria were applied to select ninety-three (93) papers as the primary studies. We found that the most used theoretical frameworks in studies on BI and BV are the Resource-Based View (RBV), Dynamic Capabilities Theory (DCT), Technology-Organisation-Environment (TOE), and Contingency Theory (CON). The most acknowledged critical factors of BV are skilled human capital, BI Infrastructure, data quality, BI application and usage/data culture, BI alignment with organisational goals, and top management support. The most acclaimed inhibitors of BV are data quality and handling, data security and protection, lack of BI Infrastructure, and lack of skilled human resource capital, while customer intelligence is the most acknowledged form of BV. So far, many theories that are relevant to BI and BV, critical factors, inhibitors, and forms of BV were marginally mentioned in the literature, requiring more investigations. The study reveals opportunities for future research that can be explored to gain a deeper understanding of the issues of BV derivation from BI. It also offers useful insights for adopters of BI, BI researchers, and BI practitioners.


Sign in / Sign up

Export Citation Format

Share Document