Exploring the link between business intelligence and financial performance in SMES
-
DOIhttp://dx.doi.org/10.21511/imfi.22(2).2025.04
-
Article InfoVolume 22 2025, Issue #2, pp. 36-46
- 141 Views
-
50 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The utilization of business intelligence has become increasingly crucial for small and medium-sized enterprises (SMEs) to remain competitive amid rapid advancements in information technology and heightened business uncertainty. This study analyzes the influence of business intelligence on the financial performance of SMEs, focusing on the mediating role of financial ambidexterity. Additionally, it examines how financial access, financial availability, and financial information quality enable effective business intelligence adoption. Data were collected from a survey of 233 SME managers in Central Java, Indonesia, conducted between December 2023 and February 2024. Smart PLS 3 was used to analyze the data and test the proposed hypotheses. The findings revealed that business intelligence significantly affects financial performance (β = 0.655, p = 0.044). Furthermore, the indirect effect analysis confirmed that financial ambidexterity plays a crucial role in mediating the relationship between business intelligence and financial performance (β = 0.531, p = 0.018). Additionally, the results confirmed that financial resources positively influence business intelligence implementation, with financial availability (β = 0.243, p = 0.000), financial information quality (β = 0.335,
p = 0.016), and financial access (β = 0.768, p = 0.025) all showing significant effects. This study highlights the critical role of business intelligence and financial ambidexterity in enhancing financial performance and underscores the importance of financial resources for successful business intelligence implementation in SMEs.
view full abstract
- Keywords
-
JEL Classification (Paper profile tab)G40, D91, L25, M15
-
References52
-
Tables4
-
Figures0
-
- Table 1. Evaluation of loading factor, Cronbach’s alpha, composite reliability, and convergent validity
- Table 2. Discriminant validity
- Table 3. Assessment of second-order constructs
- Table 4. Structural model assessment
-
- Ali, S., Miah, S., & Khan, S. (2017). Analysis of interaction between business intelligence and smes: learn from each other. Journal of Information Systems and Technology Management, 14(2), 151-168.
- Baños-Caballero, S., García-Teruel, P. J., & Martínez-Solano, P. (2016). Financing of working capital requirement, financial flexibility and SME performance. Journal of Business Economics and Management, 17(6), 1189-1204.
- Becerra-Godínez, J. A. (2020). Identifying the main factors involved in business intelligence implementation in SMEs. Bulletin of Electrical Engineering and Informatics, 9(1), 304-310.
- Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606.
- Bhatiasevi, V., & Naglis, M. (2018). Elucidating the determinants of business intelligence adoption and organizational performance. Information Development, 36(1), 78-96.
- Bhatiasevi, V., & Naglis, M. (2020). Elucidating the determinants of business intelligence adoption and organizational performance. Information Development, 36(1), 78-96.
- Bokpin, G. A. (2018). Financial Access and Firm Productivity in Sub-Saharan Africa. Journal of African Business, 19(2), 210-226.
- Boronat-Navarro, M., Escribá-Esteve, A., & Navarro-Campos, J. (2021). Ambidexterity in micro and small firms: Can competitive intelligence compensate for size constraints? BRQ Business Research Quarterly, 27(3), 210-226.
- Callegari, B. (2021). Blending in: A case study of transitional ambidexterity in the financial sector. Sustainability (Switzerland), 13(4), 1-18.
- Chen, Y. (2021). Business Intelligence Capabilities and Firm Performance: A Study in China. International Journal of Information Management, 57.
- Chen, Y., & Lin, Z. (2021). Business Intelligence Capabilities and Firm Performance: A Study in China. International Journal of Information Management, 57(xxxx).
- Chu, L. K. (2021). Financial Access of Latin America and Caribbean Firms: What Are the Roles of Institutional, Financial, and Economic Development? Journal of Emerging Market Finance, 20(2), 227-263.
- Cowling, M. (2018). Did firm age, experience, and access to finance count? SME performance after the global financial crisis. Journal of Evolutionary Economics, 28(1), 77-100.
- Dolz, C. (2019). Improving the likelihood of SME survival during financial and economic crises: The importance of TMTs and family ownership for ambidexterity. BRQ Business Research Quarterly, 22(2), 119-136.
- Edward, M. Y., Fuad, E. N., Ismanto, H., Atahau, A. D. R., & Robiyanto. (2023). Success factors for peer-to-peer lending for SMEs: Evidence from Indonesia. Investment Management and Financial Innovations, 20(2), 16-25.
- Fatoki, O. (2021). Access to finance and performance of small firms in South Africa: The moderating effect of financial literacy. WSEAS Transactions on Business and Economics, 18, 78-87.
- Ghasemaghaei, M., & Calic, G. (2020). Assessing the impact of big data on firm innovation performance: Big data is not always better data. Journal of Business Research, 108(April 2019), 147-162.
- Gonzales, R., & Wareham, J. (2019). Analysing the impact of a business intelligence system and new conceptualizations of system use. Journal of Economics, Finance and Administrative Science, 24(48), 345-368.
- Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442-458.
- Hao, Z., Zhang, X., & Wei, J. (2022). Research on the effect of enterprise financial flexibility on sustainable innovation. Journal of Innovation & Knowledge, 7(2), 100184.
- Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(2009), 277-319.
- Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424-453.
- Huang, Z., Savita, K. S., & Zhong-jie, J. (2022). The Business Intelligence impact on the financial performance of start-ups. Information Processing & Management, 59(1), 102761.
- Husien, W. A., Alhamdany, S. N., & Kataa, I. A. (2020). The Mediating Role of Organizational Ambidexterity in the Relationship between Business Intelligence Systems and the Learning Organization Exploratory study at the Ramadi’s Hospitals. 2020 2nd Annual International Conference on Information and Sciences (AiCIS) (pp. 213-221).
- Ismail, I. J. (2022). Entrepreneurs’ Dynamic Capabilities, Financial Resource Development and Financial Performance Among Small and Medium Enterprises in Emerging Markets: Experience from Tanzania. In Contributions to Finance and Accounting (pp. 15-36).
- Ivanich, S., & Kotey, N. B. (2006). the Effect of Financial Information Quality on Ability To Access External Funds and Performance of SMEs in Thailand. Journal of Enterprising Culture, 14(03), 219-239.
- Jameson, M. (2021). Top management incentives and financial flexibility: The case of make-whole call provisions. Journal of Business Finance and Accounting, 48(1), 374-404.
- Khan, U. (2020). The financial performance of Korean manufacturing SMEs: Influence of human resources management. Journal of Asian Finance, Economics and Business, 7(8), 599-611.
- Khurana, I., Dutta, D. K., & Singh Ghura, A. (2022). SMEs and digital transformation during a crisis: The emergence of resilience as a second-order dynamic capability in an entrepreneurial ecosystem. Journal of Business Research, 150, 623-641.
- La Rosa, F., Liberatore, G., Mazzi, F., & Terzani, S. (2018). The impact of corporate social performance on the cost of debt and access to debt financing for listed European non-financial firms. European Management Journal, 36(4), 519-529.
- Lateef, M., & Keikhosrokiani, P. (2023). Predicting Critical Success Factors of Business Intelligence Implementation for Improving SMEs’ Performances: a Case Study of Lagos State, Nigeria. Journal of the Knowledge Economy, 14(3), 2081-2106.
- Liu, Y., Dilanchiev, A., Xu, K., & Hajiyeva, A. M. (2022). Financing SMEs and business development as new post Covid-19 economic recovery determinants. Economic Analysis and Policy, 76, 554-567.
- Maharaj, A., & Doorasamy, M. (2024). SME resilience: Critical financial planning success factors post-COVID-19. Investment Management and Financial Innovations, 21(3), 64-73.
- Maldonado-Guzmán, G. (2022). Financial resources, eco-innovation and sustainability performance in automotive industry. Tec Empresarial, 16(2), 34-54.
- Malki, B. (2022). The financial ambidexterity of the immigrant entrepreneurs: a conceptualization. International Journal of Entrepreneurial Behaviour and Research, 28(9), 242-267.
- Memon, A., Yong An, Z., & Memon, M. Q. (2020). Does financial availability sustain financial, innovative, and environmental performance? Relation via opportunity recognition. Corporate Social Responsibility and Environmental Management, 27(2), 562-575.
- Mom, T. J. M., Chang, Y.-Y., Cholakova, M., & Jansen, J. J. P. (2018). A Multilevel Integrated Framework of Firm HR Practices, Individual Ambidexterity, and Organizational Ambidexterity. Journal of Management, 45(7), 3009-3034.
- Morgan, P. J., & Pontines, V. (2017). Financial stability and financial inclusion: the case of SME lending. The Singapore Economic Review, 63(01), 111-124.
- Nguyen, L. T. M. (2021). Ex-ante risk management and financial stability during the COVID-19 pandemic: a study of Vietnamese firms. China Finance Review International, 11(3), 349–371.
- O’Reilly, C. A., & Tushman, M. L. (2008). Ambidexterity as a dynamic capability: Resolving the innovator’s dilemma. Research in Organizational Behavior, 28, 185-206.
- Owusu, J. (2019). Financial literacy as a moderator linking financial resource availability and SME growth in Ghana. Investment Management and Financial Innovations, 16(1), 154-166.
- Paradza, D., & Daramola, O. (2021). Business Intelligence and Business Value in Organisations: A Systematic Literature Review. In Sustainability (Vol. 13, Issue 20).
- Pártlová, P. (2018). Availability and use of financial resources in small and medium-sized enterprises in the region of South Bohemia. In Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020 (pp. 5894-5902).
- Popovič, A., Puklavec, B., & Oliveira, T. (2019). Justifying business intelligence systems adoption in SMEs: Impact of systems use on firm performance. Industrial Management and Data Systems, 119(1), 210–228.
- Ragazou, K., Passas, I., Garefalakis, A., & Zopounidis, C. (2023). Business intelligence model empowering SMEs to make better decisions and enhance their competitive advantage. Discover Analytics, 1(2).
- Regasa, D. G. (2021). Access to financial services and innovation: firm-level data for Ethiopia. Innovation and Development, 11(1), 119-134.
- Ruggiero, P. (2018). CSR strategic approach, financial resources and corporate social performance: The mediating effect of innovation. Sustainability (Switzerland), 10(10).
- Salisu, I., Bin Mohd Sappri, M., & Bin Omar, M. F. (2021). The adoption of business intelligence systems in small and medium enterprises in the healthcare sector: A systematic literature review. Cogent Business & Management, 8(1), 1935663.
- Stjepi, A. (2021). Exploring Risks in the Adoption of Business Intelligence in SMEs Using the TOE Framework. Journal of Risk and Financial Management Article, 14(58).
- Valaskova, K. (2021). Bonds between Earnings Management and Corporate Financial Stability in the Context of the Competitive Ability of Enterprises. Journal of Competitiveness, 13(4), 167-184.
- Wamba-Taguimdje, S. L. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893-1924.
- Wei, R., & Pardo, C. (2022). Artificial intelligence and SMEs: How can B2B SMEs leverage AI platforms to integrate AI technologies? Industrial Marketing Management, 107, 466-483.
Close
Investment Management and Financial Innovations