Main Article Content
Abstract
This research aims to analyze the influence of business intelligence on firm performance. Erlangga Mahameru Publishers. Using quantitative explanatory methodology, the study utilized Structural Equation Modeling with Partial Least Squares (SEM-PLS), which was used in this work via SmartPLS software. A structured survey was used to gather information from 156 workers in PT. Erlangga Mahameru Publishers. The findings reveal a positive relationship between business intelligence and firm performance. There is a positive relationship between sensing capability and transforming capability, with a path coefficient of 0.877. There is a positive relationship between transforming capability and driving capability, with a path coefficient of 0.904. A positive relationship exists between driving capability and firm performance, with a path coefficient of 0.828.
Keywords
Article Details

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
- Bozic, & Dimovski. (2019). Business Intelligence and Analytics for Value Creation: The Role Absorptive Capacity. International Journal of Information Management, 46(1),93–103. https://doi.org/10.1016/ j. ijinfomgt. 2018.11.020
- Canch, Liem, & Thu. (2019). The Impact of Innovation on the Firm Performance and Corporate Social Responsibility of Vietnamese Manufacturing Firms. Journal of Sustainability,11(13),1-14. https://doi.org/10.3390/su11133666
- Chen, Y., & Lin, Z. (2020). Business Intelligence Capabilities and Firm Performance: A Study in China. International Journal of Information Management, 57(3),1-15. https://doi.org/10.1016/j.ijinfomgt.2020.102232
- Conboy, Mikalef, Dennehy, & Krogstie. (2020). Using Business Analytics to Enhance Dynamic Capabilities in Operation Research: A Case Analysis and Research Agenda. European Journal of Operational Research,281(3), 656-672. https://doi.org/10.1016/j.ejor.2019.06.051
- Craig, Dibrell, & Garrett. (2014). Examining the Relationship Among Family Influence, Family Culture, Flexible Planning Systems, Innovativeness, and Firm Performance. Journal of Family Business Strategy, 5(3),229-238. https://doi.org/10.1016/j.jfbs.2013.09.002
- Davis, F. (1989). Perceived Usefulness, Ease of Use, and User Acceptance of Information Technology.MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008.
- Kar, & Dwivedi. (2020). Theory Building with Big Data-Driven Research Moving Away from the What Towards the Why. International Journal of Information Management,54(4),1–30. https://doi.org/10.1016/j.ijinfomgt.2020.102205
- Mikalef, Krogstie, Pappas, & Pavlou. (2020). Exploring the Relationship Between Big Data Analytics Capability and Competitive Performance: The Mediating Roles of Dynamic and Operational Capabilities. Information & Management,57(2),103-169. https://doi.org/10.1016/j.im.2019.05.004
- Philipp, M., Sam, D., & Michael. (2018). Global Competition with AI in Business: How China Differs. MIT Sloan Management Review,5(2),50–70.
- Ransbotham, & Kiron. (2017). Analytic As a Source of Business Innovation. MIT Sloan Manage,3(3),1–21.
References
Bozic, & Dimovski. (2019). Business Intelligence and Analytics for Value Creation: The Role Absorptive Capacity. International Journal of Information Management, 46(1),93–103. https://doi.org/10.1016/ j. ijinfomgt. 2018.11.020
Canch, Liem, & Thu. (2019). The Impact of Innovation on the Firm Performance and Corporate Social Responsibility of Vietnamese Manufacturing Firms. Journal of Sustainability,11(13),1-14. https://doi.org/10.3390/su11133666
Chen, Y., & Lin, Z. (2020). Business Intelligence Capabilities and Firm Performance: A Study in China. International Journal of Information Management, 57(3),1-15. https://doi.org/10.1016/j.ijinfomgt.2020.102232
Conboy, Mikalef, Dennehy, & Krogstie. (2020). Using Business Analytics to Enhance Dynamic Capabilities in Operation Research: A Case Analysis and Research Agenda. European Journal of Operational Research,281(3), 656-672. https://doi.org/10.1016/j.ejor.2019.06.051
Craig, Dibrell, & Garrett. (2014). Examining the Relationship Among Family Influence, Family Culture, Flexible Planning Systems, Innovativeness, and Firm Performance. Journal of Family Business Strategy, 5(3),229-238. https://doi.org/10.1016/j.jfbs.2013.09.002
Davis, F. (1989). Perceived Usefulness, Ease of Use, and User Acceptance of Information Technology.MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008.
Kar, & Dwivedi. (2020). Theory Building with Big Data-Driven Research Moving Away from the What Towards the Why. International Journal of Information Management,54(4),1–30. https://doi.org/10.1016/j.ijinfomgt.2020.102205
Mikalef, Krogstie, Pappas, & Pavlou. (2020). Exploring the Relationship Between Big Data Analytics Capability and Competitive Performance: The Mediating Roles of Dynamic and Operational Capabilities. Information & Management,57(2),103-169. https://doi.org/10.1016/j.im.2019.05.004
Philipp, M., Sam, D., & Michael. (2018). Global Competition with AI in Business: How China Differs. MIT Sloan Management Review,5(2),50–70.
Ransbotham, & Kiron. (2017). Analytic As a Source of Business Innovation. MIT Sloan Manage,3(3),1–21.