BUSINESS INTELLIGENCE, STRATEGY INNOVATION, AND DIGITAL VALUE CREATION FOR BUSINESS PERFORMANCE ON DIGITAL CREATIVE INDUSTRIES
DOI:
https://doi.org/10.33736/ijbs.9548.2025Keywords:
business intelligence, business performance, digital value creation, innovation strategy, digital creative industries, MSMEsAbstract
Micro, Small and Medium Enterprises’ (MSMEs) business performance in digital creative industries still remain an issue in Indonesia. This paper evaluates the influence of business intelligence on business performance through digital value creation mediated by innovation strategy. This research is conducted in the digital creative industries using 104 respondents consisting of managers and company owners in Indonesia. The method used is Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that business intelligence exhibits positive and significant impact both on digital value creation and innovation strategy. Apart from that, innovation strategy exhibits positive and significant impact on digital value creation. Lastly, digital value creation exhibits positive and significant impact on business performance. Likewise, the indirect influence of all variables in the model shows positive and significant results. A major limitation of this study is the study sample. Since the sample covers only eight cities in Indonesia, it does not represent the whole of Indonesia. However, since no empirical study has evaluated business intelligence through digital value creation mediated by strategy innovation, this study makes a unique contribution to business performance on digital creative industries in Indonesia.
References
Ali, S., & Miah, 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. https://doi.org/10.4301/S1807-17752017000200002
https://doi.org/10.4301/S1807-17752017000200002
Anderson-Lehman, R., Watson, H.J., Wixom, B.H., & Hoffer, J.A. (2008). Flying high with real-time business intelligence (Chapter 57). In F. Burstein & C. Holsapple (Eds.), Handbook of decision support systems 2 (pp. 443-462). Berlin Heidelberg: Springer-Verlag.
https://doi.org/10.1007/978-3-540-48716-6_21
Auliana, L. (2012). The Impact of Value Creation on Business Performance: The Case of Small and Medium Businesses in West Java. Jurnal Sosial Politik, 2(1), 1253-1272. Bashir, M., & Verma, R. (2017). Value Creation Through Business Model Innovation: A Case Study of Connect Broadband. Prabandhan Indian Journal of Management, 10(3), 53-60 https://doi.org/10.17010/pijom/2017/v10i3/111426
https://doi.org/10.17010/pijom/2017/v10i3/111426
Birasnav, M., Albufalasa, M., & Bader, Y. (2013). The role of transformational leadership and knowledge management processes on predicting product and process innovation: An empirical study developed in Kingdom of Bahrain. Tékhne, 11(2), 64-75. https://doi.org/10.1016/j.tekhne.2013.08.001
https://doi.org/10.1016/j.tekhne.2013.08.001
Brandenburger, A. M., & Nalebuff, B. (1997, October 1). The added-value theory of business. Retrieved from http://www.strategy-business.com/article/12669?gko=5c72a
Brouthers, K. D., Nakos, G. E., & Dimitratos, P. (2014). SME entrepreneurial orientation, international performance, and the moderating role of strategic alliances. Entrepreneurship Theory and Practice, 39(5), 1161-1187. https://doi.org/10.1111/etap.12101
https://doi.org/10.1111/etap.12101
Budiarto, D.S., Prabowo, M.A., & Kartika, T.N. (2023). Does Performance Improve Sustainability? Empirical Research on Indonesian MSMEs. International Journal of Business and Society, 24(3), 1252-1265.
https://doi.org/10.33736/ijbs.6422.2023
Campbell, J. P. (1977). On the nature of organizational effectiveness. In P. S. Goodman & J. M. Pennings (Eds.), New perspectives on organizational effectiveness (pp. 13-55). Jossey-Bass.
Caseiro, N., & Coelho, A. (2018). The Influence of Business Intelligence Capacity, Network Learning and Innovativeness on Startups Performance. Journal of Innovation & Knowledge, 4(3), 139-145. https://doi.org/10.1016/j.jik.2018.03.009
https://doi.org/10.1016/j.jik.2018.03.009
Caya, O., & Bourdon, A. (2016). A Framework of Value Creation from Business Intelligence and Analytics in Competitive Sports. 49th Hawaii International Conference on System Sciences. DOI 10.1109/HICSS.2016.136
https://doi.org/10.1109/HICSS.2016.136
Chegini, M.G., Taleghani, M., & Gerdvisheh, F.N. (2013). Relationship Between Business Intelligence and Organizational Performance. Singaporean Journal of Business Economics, and Management Studies, 2(5), 38-44.
https://doi.org/10.12816/0003887
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Hillsdale, New Jersey: Lawrence Erlbaum Associates.
Cully, M., Woodland, S., O'Reilly, A., & Dix, G. (1999). Small business employment relations. In Workplace employee relations survey. London: Routledge.
Dawson, L., & Van Belle, J.-P. (2013). Critical success factors for business intelligence in the South African financial services sector. SA Journal of Information Management, 15(1), 1-12.
https://doi.org/10.4102/sajim.v15i1.545
Dishman, P. L., & Calof, J. L. (2008). Competitive intelligence: A multiphasic precedent to marketing strategy. European Journal of Marketing, 42(7/8), 766-785.
https://doi.org/10.1108/03090560810877141
Donaldson, L. (2001). The contingency theory of organizations. Thousand Oaks, CA: Sage Publications.
https://doi.org/10.4135/9781452229249
Duan, Y., & Cao, G. (2015). Understanding The Impact of Business Analytics on Innovation. European Journal of Operational Research, 281(3), 673-686. https://doi.org/10.1016/j.ejor.2018.06.021
https://doi.org/10.1016/j.ejor.2018.06.021
Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135-153.
https://doi.org/10.1016/j.accinf.2008.03.001
Ermaya, S. K. (2022). Strategi Inovasi dan Penciptaan Nilai Digital untuk Meningkatkan Kinerja Bisnis (Studi pada Industri Kreatif Digital yang Terdaftar di Aspiluki). Fakultas Pendidikan Ekonomi dan Bisnis, Universitas Pendidikan Indonesia. Evans, H.G., Ashworth, M., Chellew, A., Davison, A., & Towers, D. (1996). Exploiting activity-based information: easy as ABC. Management Accounting, 74(7), 24-29.
Falk, R.F., & Miller, N. B. (1992). A Promer for Soft Modeling. Akron: University of Akron.
Feher, K., Junaidy, D., Larasati, D., Kovacs, A., & Rahardjo, B. (2017). Creative industries and digital economy - Perspectives from Southeast Asia and Central Europe. In Go Hungary - Go Indonesia: Understanding economic and business issues (pp. 151-172). Budapest Business School, University of Applied Sciences.
Fonjong, B., & Hongyun, T. (2019). Impact of value co-creation on firm performance: Mediating role of strategic advantages. European Journal of Business and Management, 11(21), 161-172. https://doi.org/10.7176/EJBM/11-21-20
https://doi.org/10.7176/EJBM/11-21-20
Garrison, G., Wakefield, R.L., & Kim, S. (2015). The Effects of IT Capabilities and Delivery Model on Cloud Computing Success and Firm Performance for Cloud Supported Processes and Operations. International Journal of Information Management, 35(4), 377-393. https://doi.org/10.1016/j.ijinfomgt.2015.03.001
https://doi.org/10.1016/j.ijinfomgt.2015.03.001
Gavrea, C., Ilies, L., & Stegerean, R. (2011). Determinants of organizational performance: The case of Romania. Management & Marketing, 6, 285-300.
Ghozali, I. (2016). Aplikasi Analisis Multivariete Dengan Program IBM SPSS 23 (Edisi 8). Cetakan ke VIII. Semarang: Badan Penerbit Universitas Diponegoro.
Ghozali, I., & Latan, H. (2015). Partial Least Squares: Konsep, teknik dan Aplikasi Menggunakan Program SmartPLS 3.0 untuk Penelitian Empiris Edisi 2. Semarang: Badan Penerbit Universitas Diponegoro.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/ebr-11-2018-0203
https://doi.org/10.1108/EBR-11-2018-0203
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook (Classroom Companion: Business). Springer.
https://doi.org/10.1007/978-3-030-80519-7
Halpern, D. F. (2005). How time-flexible work policies can reduce stress, improve health, and save money, Stress and Health. Journal of the International Society for the Investigation of Stress, 21(3), 157-168. https://doi.org/10.1002/smi.1049
https://doi.org/10.1002/smi.1049
Hill, C. E. L., & Jones, G. R. (2012). Essentials of strategic management (3rd ed.). Cengage Learning.
Howson, C. (2007). Successful business intelligence. New Delhi: Tata McGraw-Hill Education.
James, H. (2009). The creation and destruction of value: The globalization cycle. Harvard University Press. https://doi.org/10.2307/j.ctvjf9vxn
https://doi.org/10.2307/j.ctvjf9vxn
Kalay, F., & Lynn, G. S. (2015). The impact of strategic innovation management practices on firm innovation performance. Research Journal of Business and Management (RJBM), 2(3), 412-429. https://doi.org/10.17261/Pressacademia.2015312989
https://doi.org/10.17261/Pressacademia.2015312989
Kuratko, D. F., & Hodgetts, R. M. (2004). Entrepreneurship: Theory, process, and practice (6th ed.). South-Western.
Lebas, M. J., & Euske, K. (2006). A conceptual and operational delineation of performance. Business Performance Measurement: Theory and Practice, 1, 65-79. https://doi.org/10.1017/CBO9780511753695.006
https://doi.org/10.1017/CBO9780511753695.006
Lendel, V., & Varmus, M. (2011). Creation and Implementation of The Innovation Strategy in The Enterprise. Journal Economics and Management, 16(1), 819-826.
Lewin, A.Y., & Minton, J.W. (1986). Determining organizational effectiveness: Another look, and an agenda for research. Management Science, 32(5), 514-553. Luqman, A., Wang, L., Katiyar, G., Agarwal, R., & Mohapatra, A. K. (2024). Unpacking associations between positive-negative valence and ambidexterity of big data: Implications for firm performance. Technological Forecasting and Social Change, 200, 123054. https://doi.org/10.1016/j.techfore.2023.123054
https://doi.org/10.1016/j.techfore.2023.123054
Mariyudi, Matriadi, & Faisal. (2017). Customer value co-creation behavior and customer loyalty: A case study in the mobile application industry. Advances in Economics, Business and Management Research (AEBMR), 46, 1st Economics and Business International Conference 2017 (EBIC 2017).
https://doi.org/10.2991/ebic-17.2018.74
Maune, A. (2014). Competitive intelligence and firm competitiveness: An overview. Corporate Ownership & Control, 11(1), 533-542.
https://doi.org/10.22495/cocv12i1c6p1
Meyer, J., & Subramaniam, M. (2014). Appropriating innovation's technical value: Examining the influence of exploration. Journal of Business Research, 67(1), 2860-2866. https://doi.org/10.1016/j.jbusres.2012.07.001
https://doi.org/10.1016/j.jbusres.2012.07.001
Mithas, S., Ramasubbu, N., Krishnan, M. S., & Sambamurthy, V. (2011). Information Technology Infrastructure Capability and Firm Performance: An Empirical Analysis. MIS Quarterly, 35(1), 237-256.
https://doi.org/10.2307/23043496
Muazu, U.A., & Abdulmalik, S. (2021). Information Technology Capabilities and Competitive Advantage: A Review. International Journal of Technology and Systems, 6(1), 1 - 17. https://doi.org/10.47604/ijts.1206
https://doi.org/10.47604/ijts.1206
Muiruri, K.S. (2016). Relationship Between Knowledge Management and Organizational Performance: A Case Study of United States International University - Africa [Master's thesis, United States International University - Africa]. United States International University Repository.
Murphy, E. C., & Murphy, M. A. (2002). Leading on the edge of chaos: The 10 critical elements for success in volatile times. Prentice Hall Press.
Nasir, S. (2017). Customer retention strategies and customer loyalty. In Advertising and branding (pp. 1177-1201). https://doi.org/10.4018/978-1-5225-1793-1.ch054
https://doi.org/10.4018/978-1-5225-1793-1.ch054
Nuryakin., Aryanto, V. D. W., & Setiawan, M. B. (2018). Mediating effect of value creation in the relationship between relational capabilities on business performance. Contaduría y Administración, 63(1), 1-21. https://doi.org/10.22201/fca.24488410e.2018.1178
https://doi.org/10.22201/fca.24488410e.2018.1178
O'Regan, N., Ghobadian, A., & Gallear, G. (2005). In search of the drivers of high growth in manufacturing SMEs. Technovation, 26(1), 30-41.
https://doi.org/10.1016/j.technovation.2005.05.004
Oke, A., Walumbwa, F. O., & Myers, A. (2012). Innovation strategy, human resource policy, and firms' revenue growth: The roles of environmental uncertainty and innovation performance. Decision Sciences, 43(2), 273-302.
https://doi.org/10.1111/j.1540-5915.2011.00350.x
Olszak, C. M., & Ziemba, E. (2006). Business intelligence systems in the holistic infrastructure development supporting decision-making in organizations. Interdisciplinary Journal of Information, Knowledge, and Management, 1(1), 47-57.
Porter, M. (1996). What is strategy? Harvard Business Review, 74(6), 61-78.
Prahalad, C. K., & Ramaswamy, V. (2004). Co-creating unique value with customers. Strategy & Leadership, 32(3), 4-9.
https://doi.org/10.1108/10878570410699249
Pudjiarti, E. S., & Suharnomo. (2018). Does Institutional Intervention Play a Role in Small Business Clustering? An Empirical Evidence from Semarang, Indonesia. Quality - Access to Success, 19(163), 52-59.
Ramaswamy, V. (2008). Co-creating value through customers' experiences: the Nike case. Strategy & Leadership, 36(5), 9-14. Ramaswamy, V., & Prahalad, C. K. (2004). The future of competition: Co-creating unique value with customers. Harvard Business Press.
https://doi.org/10.1108/10878570810902068
Rau B.L., & Hyland, M. M. (2002). Role conflict and flexible work arrangements: The effects on applicant attraction. Personnel Psychology, 55(1), 111-136. https://doi.org/10.1111/j.1744-6570.2002.tb00105.x
https://doi.org/10.1111/j.1744-6570.2002.tb00105.x
Reddy, S., & Reinartz, W. (2017). Digital transformation and value creation: Sea change ahead. NIM Marketing Intelligence Review, 9(1), 10-17. https://doi.org/10.1515/gfkmir-2017-0002
https://doi.org/10.1515/gfkmir-2017-0002
Richman, A. (2006). Everyone wants an engaged workforce-how can you create it? Workspan, 49(1), 36-39.
Rigdon, E. E., Ringle, C. M., & Sarstedt, M. (2010). Structural Modeling of Heterogeneous Data with Partial Least Squares, in Review of Marketing Research, vol. 7, Naresh K. Malhotra, ed. Armonk, NY: M.E. Sharpe, pp. 255-296.
https://doi.org/10.1108/S1548-6435(2010)0000007011
Sarstedt, M., Becker, J-M., Ringle, C. M., & Schwaiger, M. (2011). Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments?. Schmalenbach Business Review, 63(1), 34-62. https://doi.org/10.1007/BF03396886
https://doi.org/10.1007/BF03396886
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322-2347. https://doi.org/10.1108/ejm-02-2019-0189
https://doi.org/10.1108/EJM-02-2019-0189
Shiratina, A., Kartini, D., Mulyana, A., Helmi, A., & Suryana, Y. (2019). Implementation Innovation and Value Creation in Improving Business Performance Muslim Fashion. International Journal of Entrepreneurship, 23(2), 1-8.
Sidiq, A., & Astutik, E. P. (2017). Analisis Kapabilitas Teknologi Informasi Terhadap Kinerja Bisnis UKM dengan Orientasi Pelanggan Sebagai Variabel Intervening (Studi pada UKM Sektor Manufaktur di Wilayah Solo Raya). Media Ekonomi dan Manajemen, 32(1), 9-27. https://doi.org/10.24856/mem.v32i1.467
https://doi.org/10.24856/mem.v32i1.467
Siswono. (2013). Peran Business Intelligence dalam Solusi Bisnis. ComTech, 4(2), 812-816.
https://doi.org/10.21512/comtech.v4i2.2518
Verhees, F. J. H. M., & Meulenberg, M. T. G. (2004). Market orientation, innovativeness, product innovation, and performance in small firms. Journal of Small Business Management, 42(2), 134-154.
https://doi.org/10.1111/j.1540-627X.2004.00102.x
Waal, A. de, Nijkamp, P., & Kourtit, K. (2009). The relationship between the level of completeness of a strategic performance management system and perceived advantages and disadvantages. Serie Research Memoranda, 0015. VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
Wang, C. & Ahmed, P. (2004). The development and validation of the organisational innovativeness construct using confirmatory factor analysis. European Journal of Innovation Management, 7(4), 303-313.
https://doi.org/10.1108/14601060410565056
Watson, H. J., & Wixom, B. H. (2007). The current state of business intelligence. Computer, 40(9), 96-99. https://doi.org/10.1109/MC.2007.331
https://doi.org/10.1109/MC.2007.331
Wheelen, T.L., & Hunger, J.D. (2018). Strategic Management and Business Policy: Globalization, Innovation and Sustainability, Global Edition 15th Edition. New York: Pearson Education Inc.
Windsor, D. (2017). Value creation theory: Literature review and theory assessment. In Stakeholder management (pp. 75-100). https://doi.org/10.1108/S2514-175920170000004
https://doi.org/10.1108/S2514-175920170000004
Wong, S., Raj, R., & Beaumont, A. (2016). Business intelligence solution for an SME: A case study. In Proceedings of the 8th International Joint Conference on Knowledge Discovery,

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