Business intelligence and knowledge management integration within small and medium enterprises

Isaiah McCommons

doi:10.58593/cjar.v1i2.22

Authors

Isaiah McCommons Trine University https://orcid.org/0009-0009-9532-8618

DOI:

https://doi.org/10.58593/cjar.v1i2.22

Keywords:

knowledge management, business intelligence, knowledge sharing, knowledge assets, small and medium enterprises

Abstract

Knowledge management (KM) and business intelligence (BI) allow businesses to acquire, store, and access important information to create competitive advantages. While large businesses have used BI and KM integrations, small- and medium-sized enterprises (SMEs) have lagged behind in these areas. This qualitative exploratory case study used interviews from 11 knowledge management (KM) experts to gather their perceptions of integrating business intelligence (BI) into KM programs. The goal was to identify factors that could improve the performance of structured KM programs within SMEs. A scholarly literature review identified a gap in practice and knowledge; few studies have covered SMEs’ adoption of KM and BI tools. The study’s framework included a technology acceptance model and absorptive capacity (ACAP) theory. Research findings showed that integrating KM and BI tools can lead to KM and BI tool adoption, knowledge discovery, performance improvement, tacit knowledge assets, knowledge sharing, KMS/KB, and ACAP.

Metrics

Metrics Loading ...

Author Biography

Isaiah McCommons, Trine University

Isaiah McCommons, with a rich 30-year background in telecommunications and a Doctorate in Business Administration specializing in Business Intelligence, is an active adjunct professor of Business Analytics and Project Management at Trine University. Passionate about the intersection of business and technology, Isaiah conducts independent research on integrating business intelligence and knowledge management. Beyond professional pursuits, Isaiah enjoys photography, drumming, music creation, DJing, and traveling. Indiana. mccommonsi@trine.edu

References

Abusweilem, M., & Abualoush, S. (2019). The impact of knowledge management process and business intelligence on organizational performance. Management Science Letters, 9, 21432156. http://doi.org/10.5267/j.msl.2019.6.020

Al-Okaily, M., Alkhwaldi, A. F., Abdulmuhsin, A. A., Alqudah, H., & Al-Okaily, A. (2023). Cloud-based accounting information systems usage and its impact on Jordanian SMEs’ performance: the post-COVID-19 perspective. Journal of Financial Reporting and Accounting, 21(1), 126155. https://doi.org/10.1108/JFRA-12-2021-0476

Ball, Z., Cagan, J., & Kotovsky, K. (2022). Supporting management of new product development via a novel conceptual model: an interview driven approach. Journal of Engineering, Design and Technology, (ahead-of-print). https://doi.org/10.1108/JEDT-07-2021-0357

Baporikar, N. (2016). Understanding knowledge management spectrum for SMEs in global scenario. International Journal of Social and Organizational Dynamics in IT (IJSODIT), 5(1), 115. http://doi.org/10.4018/IJSODIT.2016010101

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77101. http://doi.org/10.1191/1478088706qp063oa