| Abai, N. H. Z.; Yahaya, J.; Deraman, A.; Hamdan, A. R.; Mansor, Z.; Jusoh, Y. Y. | 2019 | Integrating Business intelligence and analytics in managing public sector performance: An empirical study | International Journal on Advanced Science, Engineering and Information Technology | Scopus | The result of the study revealed four integrated factors of the BIA and OPM implementation, such as skill, documentation, visualization, and work culture. Finance, data management, software, strategic planning, and decision-making are other factors integrated with BI, BA, and OPM respectively |
| Bischoff, S.; Aier, S.; Haki, M.K.; Winter, R. | 2015 | Understanding Continuous Use of Business Intelligence Systems: A Mixed Methods Investigation | Journal of Information Technology Theory and Application | ProQuest Central | Confirms the significant influence of users level of trust on BI’s perceived usefulness. It also confirm the impact of information quality to trust. Introduce new constructs that impact BI continuous use: influence of the organisation, coverage of user requirements, user support, influence of peers, and governance constructs |
| Bordeleau, F. E.; Mosconi, E.; de Santa-Eulalia, L. A. | 2020 | Business intelligence and analytics value creation in Industry 4.0: a multiple case study in manufacturing medium enterprises | Production Planning and Control | Scopus | Findings suggest enterprises resources and capabilities are not sufficient to predict business value: organizational learning and organizational culture have a non-negligible influence for MEs |
| Chaudhry, K.; Dhingra, S. | 2021 | Modeling the critical success factors for business intelligence implementation: An ISM approach | International Journal of Business Intelligence Research | Scopus | Classifying and categorising dominant and facilitating factors of BI implementation. Driving factors: management support, business goal alignment, project resources, team skills. Linkage factors: system quality and data quality. Dependent factors: user participation, BI implementation |
| Dawson, L.; Van Belle, J. | 2013 | Critical success factors for business intelligence in the South African financial services sector | South African Journal of Information Management | ProQuest Central | Regarded committed management support and champion; business vision; user involvement; and data quality as the most critical factors in BI implementation |
| Deng, X; Chi, L. | 2012 | Understanding Post adoptive Behaviors in Information Systems Use: A Longitudinal Analysis of System Use Problems in the Business Intelligence Context | Journal of Management Information Systems | Business Source Complete | Causal relationship between system-use problem and its causes |
| Eder, F.; Koch, S. | 2018 | Critical success factors for the implementation of business intelligence systems | International Journal of Business Intelligence Research | Scopus | There are critical success factors mentioned by experts that have not been mentioned in the literature. Some prominent new factors: usability in term of self-service analytics, data catalogue. Dedicated BI unit |
| Farzaneh, M.; Isaai, M. T.; Arasti, M. R.; Mehralian, G. | 2018 | A framework for developing business intelligence systems: a knowledge perspective | Management Research Review | Scopus | Interaction with BI vendor, specifically the knowledge transfer process, has a crucial impact in BI development |
| Frisk, J. E.; Bannister, F. | 2017 | Improving the use of analytics and big data by changing the decision-making culture: A design approach | Management Decision | Scopus | Using a design approach (representing-designing-evaluating) to change an organisation’s decision-making culture into a collaborative and systematic decision-making process |
| Grublješič, T.; Jaklič, J | 2015 | Conceptualization of the business intelligence extended use model | Journal of Computer Information Systems | Scopus | Develop a multi dimension BI use model and its determinants. The multi dimension BI use model includes intensity, extent, and embeddedness of use |
| Gudfinnsson, K.; Strand, M.; Berndtsson, M. | 2015 | Analysing business intelligence maturity | Journal of Decision Systems | Scopus | Identify common BI implementation pitfalls: conceptual data modelling (data concepts and definition), legal requirement for data storage, analytic culture |
| Harison, E. | 2012 | Critical success factors of business intelligence system implementations: Evidence from the energy sector | International Journal of Enterprise Information Systems | Scopus | Established the pivotal role of IT dept. First: develop in-dept knowledge on business process and the decisions made by user. Second: understand user’s information needs |
| Hoang, T. G.; Bui, M. L. | 2023 | Business intelligence and analytic (BIA) stage-of-practice in micro-, small- and medium-sized enterprises (MSMEs) | Journal of Enterprise Information Management | Scopus | Propose three stages of BIA adoption in MSMEs including enablers and barriers |
| Janyapoon, S.; Liangrokapart, J.; Tan, A | 2021 | Critical Success Factors of Business Intelligence Implementation in Thai Hospitals | International Journal of Healthcare Information Systems and Informatics | Scopus | The study found that the upskilling of the management team in IT skills might be more effective |
| Jayashankar, P.; Johnston, W.J.; Nilakanta, S.; Reed, B. | 2020 | Co-creation of value-in-use through big data technology- a B2B agricultural perspective | The Journal of Business and Industrial Marketing | ProQuest Central | Co-creation increase value-in-use of data analytic. Co-creation with any stakeholders could be a direct and indirect relationship |
| Mansell, I.J.; Ruhode, E. | 2019 | Inhibitors of business intelligence use by managers in public institutions in a developing country: The case of a South African municipality | South African Journal of Information Management | ProQuest Central | Identify inhibitors of BI use in developing country |
| McCormack, K.; Trkman, P. | 2014 | The influence of information processing needs on the continuous use of business intelligence | Information Research | Scopus | Sustainable and optimal use of BI needs a permanent increase of information needs. Thus, it is necessary to nurture a data-driven culture |
| Moreno, V.; da Silva, V.; Lobo, F.E.; Rodrigo, F.; Filardi, F. | 2019 | Complementarity as a Driver of Value in Business Intelligence And Analytics Adoption Processes | Revista Iberoamericana de Estrategia | Business Source Complete | IT, organisational capacities, and resources complemented and strengthened each other in BI implementation |
| Niazi, H.; (2016a) | 2016 | Strategy, action plan and approaches for business intelligence in banking and mining | Asian Journal of Information Technology | Scopus | Analysis on BI’s CSF in two different business sectors, banking and mining. Several identical factors found in those sectors are related to BI strategy deployment. The strategy covers processes, technology and governance |
| Niazi, H.; (2016b) | 2016 | Critical success factors for cloud BI implementation within a banking organisation | Asian Journal of Information Technology | Scopus | Develop CSFs framework for cloud BI implementation |
| Olszak, C.M.; Ziemba, E. | 2012 | Critical success factors for implementing business intelligence systems in small and medium enterprises on the example of upper Silesia, Poland | Interdisciplinary Journal of Information, Knowledge, and Management | Scopus | Identify CSFs of BI implementation in SMEs from organisation, process and technology perspective |
| OlszakC.M. | 2016 | Toward Better Understanding and Use of Business Intelligence in Organizations | Information Systems Management | Business Source Complete | BI requires a permanent development. It needs to be assessed scientifically |
| Owusu, A. | 2020 | Determinants of Cloud Business Intelligence Adoption Among Ghanaian SMEs | International Journal of Cloud Applications and Computing3 | Scopus | Owner/manager’s innovativeness and IS knowledge plays critical roles in SME’s BI utilisation |
| Potančok, M.; Pour, J.; Ip, W. | 2021 | Factors influencing business analytics solutions and views on business problems | Data | Scopus | Provide taxonomy of key factors, grouped into business environment factor, company environment factor, and market environment factor |
| Ratia, M. | 2018 | Intellectual Capital and BI-tools in Private Healthcare Value Creation: EJKM | Electronic Journal of Knowledge Management | ProQuest Central | Intellectual capital (IC) play a major role in the BI value production. The IC source could be internal or external |
| Sapp, C. E.; Mazzuchi, T.; Sarkani, S. | 2014 | Rationalising business intelligence systems and explicit knowledge objects:Improving evidence-based management in government programs | Journal of Information and Knowledge Management | Scopus | Provide a rationalisation framework to determine the information and BI requirements in the organisation |
| Seddon, P.B.; Constantinidis, D.; Tamm, T.; Dod, H. | 2017 | How does business analytics contribute to business value? | Information Systems Journal | Business Source Complete | Provide Business Analytics Success Model (BASM). A model of key insights in BA literature |
| Tsoy, M.; StaplesD.S. | 2021 | What Are the Critical Success Factors for Agile Analytics Projects? | Information Systems Journal | Business Source Complete | Use and agile approach to update the success factors of BI implementation. The factors are related to five dimensions, i.e. organisational, people, process, technical, and project |
| Villamarín García, J.M.; Díaz PinzónB.H. | 2017 | Key success factors to business intelligence solution implementation | Journal of Intelligence Studies in Business | Business Source Complete | Identified “professional network” as one of key CSF identified by experts |
| Werder, K.; Seidel, S.; Recker, J.; Berente, N.; Gibbs, J.; Abboud, N.; Benzeghadi, Y. | 2020 | Data-Driven, Data-Informed, Data-Augmented: How Ubisoft’s Ghost Recon Wildlands Live Unit Uses Data for Continuous Product Innovation | California Management Review | Business Source Complete | A case study of data-driven practices in a creative product development |
| Yeoh, W.; Koronios, A. | 2010 | Critical success factors for business intelligence systems | Journal of Computer Information Systems | Scopus | Non-technical factors, such as organisational and process-related factors, are more influential to the success of BI implementation |
| Yeoh, W.; Koronios, A.; Gao, J. | 2008 | Managing the implementation of business intelligence systems: A critical success factors framework | International Journal of Enterprise Information Systems | Scopus | Develop CSFs framework for BI implementation |
| Yeoh, W.; Popovič, A. | 2016 | Extending the Understanding of Critical Success Factors for Implementing Business Intelligence Systems | Journal of the Association for Information Science and Technology | Business Source Complete | Examine how and why organisational, process and technology factors impact BI implementation success. Organisational factors were the most critical in BI implementation success |