Utilization of Business Intelligence to Improve Operational Efficiency of SMEs in Lampung
DOI:
https://doi.org/10.70062/globalmanagement.v2i3.349Keywords:
Business Intelligence, Decision Quality, Sustainable Performance, Digital Literacy, Organizational Read-iness.Abstract
In light of the moderating effects of organizational readiness (OR) and digital literacy (DL), this study attempts to examine how business intelligence (BI) affects the sustainable performance and decision-making quality of SMEs in Lampung Province. This study used a convergent parallel design and a mixed methods approach, integrating both qualitative and quantitative data to offer a thorough insight. In-depth interviews with 15 important informants provided qualitative data, while purposive sampling was used to choose 200 SMEs as respondents for quantitative data. The outer and inner models were evaluated in a quantitative study using Partial Least Squares Structural Equation Modeling (PLS-SEM), and thematic analysis was used to examine the qualitative data. The findings demonstrated that BI significantly influences sustainable performance (β=0.24, p<0.001) and decision quality (β=0.65, p<0.001), both directly and via decision quality mediation (β=0.58, p<0.001). The association between BI and decision quality was found to be strengthened by OR and DL. SME players stress the significance of rapid, precise, and integrated data access in enhancing the precision of company strategy, and qualitative findings corroborate the quantitative findings. This study offers useful suggestions for boosting SMEs' competitiveness in the age of digital transformation.
References
Alnoukari, M., & Hanano, A. (2017). Integration of business intelligence with corporate strategic. Business, 7(3), 5–16.
Barney. (1991). Firm Resources Advantage. Manage, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
Božič & Dimovski. (2019). Business intelligence and analytics for value creation. Inf Manage, 46, 93–103. https://doi.org/10.1016/j.ijinfomgt.2018.11.020
BPS Provinsi Lampung. (2024). Statistik UMKM Lampung 2023. BPS Lampung.
Carretero, Vuorikari & Punie. (2017). The Digital Competence Framework. European Union.
Chaudhary & Akhouri. (2019). CSR perceptions and employee creativitt. Social Resp, 15(1), 61–74. https://doi.org/10.1108/SRJ-01-2018-0018
Chen, Chiang, & Storey. (2012). Business Intelligence and Analytics. MIS, 36(4), 1165. https://doi.org/10.2307/41703503
Davis & Akbar. (2022). Determinan Foreign Direct Investment di 6 Negara ASEAN. Bisnis, 27(3), 403–417. https://doi.org/10.35760/eb.2022.v27i3.5950
Delen, D., & Ram, S. (2018). Research challenges and opportunities. Analytics, 1(1), 2–12. https://doi.org/10.1080/2573234X.2018.1507324
Elkington. (1998). Cannibals with forks. Oxford: Capstone.
Işık, Ö., Jones, M. C., & Sidorova, A. (2013). Business intelligence success. Information, 13–23. https://doi.org/10.1016/j.im.2012.12.001
Johnson, Scholes, & Whittington. (2020). Exploring corporate strategy. Pearson.
Kumar, V., & Sharma, R. (2020). Understanding business intelligence. Enterprise, 33(1), 38–59.
Olszak & Ziemba. (2012). Critical Success Factors for Implementing Business Intelligence Systems. Interdisciplinary, 7, 129–150. https://doi.org/10.28945/1584
Ng. (2012). Can we teach digital natives digital literacy? Comput, 59(3), 1065–1078. https://doi.org/10.1016/j.compedu.2012.04.016
Popovič, Hackney, Coelho, & Jaklič. (2012). Towards business intelligence systems success. Decision Support Syst, 54(1), 729–739. https://doi.org/10.1016/j.dss.2012.08.017
Pratama & Winarno (2020). Business intelligence adoption in SMEs. Informasi, 16(2), 53–66.
Putri, Santosa, & Wibowo. (2021). The influence of digital literacy on business intelligence. Comput Sci, 179, 483–491.
Rogers. (2003). Diffusion of innovations . Free.
Smith. (2021). Strategic Recommendations for Improving Competitiveness. Strategic, 18(4), 215–230.
Tornatzky & Fleischer. (1990). The processes of technological innovation. Lexington.
van Laar, E., van Deursen., van Dijk, & de Haan. (2017). The relation between 21st-century skills and digital skills. Comput, 72, 577–588. https://doi.org/10.1016/j.chb.2017.03.010
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model. Manage Sci, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Weiner. (2009). A theory of organizational readiness for change. Science, 4(1), 67. https://doi.org/10.1186/1748-5908-4-67
Wixom, Yen,, & Relich. (2014). Maximizing value from business analytics. MIS, 13(2), 111–123.
Wixom & Watson. (2010). The BI-Based Organization. International Journal, 1(1), 13–28. https://doi.org/10.4018/jbir.2010071702
Yunis Tarhini & Kassar. (2018). The role of ICT and innovation in enhancing organizational performance. Bus Res, 88, 344–356. https://doi.org/10.1016/j.jbusres.2017.12.030

