The Role of Artificial Intelligence in Enhancing MSME Performance: The Interplay Between Customer Orientation, Competitor Orientation, and Brand Commitment
DOI:
https://doi.org/10.20414/jed.v7i3.14392Keywords:
Artificial Intelligence, Customer Orientation, Competitor Orientation, Brand Commitment, MSME PerformanceAbstract
Purpose: This study aims to examine the impact of customer orientation, competitor orientation, and brand commitment on the business performance of Micro, Small, and Medium Enterprises (MSMEs), focusing on the moderating role of artificial intelligence (AI) in enhancing strategic responsiveness and competitiveness in the digital transformation era.
Method: A quantitative explanatory approach was used, involving structured questionnaires distributed to 373 MSME owners and managers in Lowokwaru District, Malang City. Data analysis was conducted using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS software to assess both direct and moderating effects. Reliability and validity tests were performed through composite reliability and average variance extracted (AVE) analysis.
Result: We found that customer orientation, competitor orientation, and brand commitment significantly and positively influenced MSME performance. However, AI did not significantly moderate these relationships, indicating that AI adoption among MSMEs is still in the early stages and has not yet shown measurable effects. Despite this, AI adopters exhibited improved operational efficiency and decision-making accuracy.
Practical Implications for Economic Growth and Development: The study highlights the need for MSMEs to strengthen customer focus, competitor awareness, and brand commitment to enhance business performance. Although AI did not show a moderating effect, gradual adoption of AI technologies could improve efficiency, innovation, and competitiveness, fostering regional economic growth.
Originality/Value: This research contributes to the literature by integrating AI as a moderating variable in the relationship between marketing orientation and business performance, offering empirical evidence that extends AI-based strategic capability models within the MSME context.
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Abaddi, S. (2025). Factors and moderators influencing artificial intelligence adoption by Jordanian MSMEs. Management & Sustainability: An Arab Review, 4(1), 47–73. https://doi.org/10.1108/MSAR-10-2023-0049
Abrokwah-Larbi, K. (2024). The impact of customer-focus on the performance of business organizations: Evidence from SMEs in an emerging West African economy. African Journal of Economic and Management Studies, 15(1), 31–59. https://doi.org/10.1108/AJEMS-04-2022-0167
Adegbuyi, A. A., Noor, S., Adegbuyi, P., & Adeniyi, O. (2024). Role of demographic characteristics on strategic orientation and business performance of small and medium scale enterprises (SMEs) in South West Nigeria. International Journal of Entrepreneurship, Technology and Innovation (IJETI), 1(1).
Al-Hakimi, M. A., Saleh, M. H., Borade, D. B., Hasan, M. B., & Sharma, D. (2023). Competitor orientation and SME performance in competitive environments: The moderating effect of marketing ethics. Journal of Entrepreneurship in Emerging Economies, 15(6), 1490–1511. https://doi.org/10.1108/JEEE-12-2021-0486
Alnawas, I., & Farha, A. A. (2020). Strategic orientations and capabilities’ effect on SMEs’ performance. Marketing Intelligence & Planning, 38(7), 829–845. https://doi.org/10.1108/MIP-11-2019-0548
Barney, J. B., & Clark, D. N. (2007). Resource-Based Theory. Oxford University Press. https://doi.org/10.1093/oso/9780199277681.001.0001
Commer, P. J., Abdullah, F. U. H. O. Y., Suki, N. M., & Abdullah, O. Y. (2024). Mediating role of AI adoption between the relationship of leadership vision, change management capability, competitive pressure, trading partnerships, and SME performance. Pakistan Journal of Commerce and Social Sciences, 2024(4).
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
Ha, S. T., Lo, M. C., & Mohamad, A. A. (2025). Empowering SME potential: How AI information quality fuels market orientation success in the digital age. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-025-02669-x
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
Hair, J. F., Tomas, G., Hult, M., Ringle, C. M., & Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM). Retrieved from https://www.researchgate.net/publication/354331182
Indrasari, M., Syamsudin, N., Tampubolon, L. R. R. U. (2024). Enhancing SME product brand equity in the digital age as strategic approaches in the era of artificial intelligence. IJBLE, 5(1). https://ijble.com/index.php/journal/index
Ismail, A. R., & Mohamad, B. (2025). Determinants of SMEs’ performance: Amalgamation of entrepreneurial, market, and brand orientations. International Journal of Entrepreneurial Behavior & Research, 31(2/3), 531–562. https://doi.org/10.1108/IJEBR-02-2022-0167
Ismail, I. J. (2023). Speaking to the hearts of the customers! The mediating effect of customer loyalty on customer orientation, technology orientation, and business performance. Technological Sustainability, 2(1), 44–66. https://doi.org/10.1108/TECHS-03-2022-0016
Jagworks@usa, J., & Alqahtani, D. T. (2025). Does AI integration moderate the relationship between firm growth and performance in SMEs: The influence of decision-making and operational performance. Retrieved from https://jagworks.southalabama.edu/theses_diss
Jasin, M. (2022). The role of brand commitment and brand attachment on repurchase intention of SMEs product during post-Covid-19 pandemic era. International Journal of Social and Management Studies (IJOSMAS).
Komariah, S., Bukhari, E., & S, R. S. (2024). Influence of customer orientation, technology orientation, and entrepreneurial orientation on product innovation in MSMEs in the halal food sector in North Bekasi City. EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi Dan Bisnis, 12(3). https://doi.org/10.37676/ekombis.v12i3.5670
Magableh, I. K., Mahrouq, M. H., Ta’Amnha, M. A., & Riyadh, H. A. (2024). The role of marketing artificial intelligence in enhancing sustainable financial performance of medium-sized enterprises through customer engagement and data-driven decision-making. Sustainability, 16(24), 11279. https://doi.org/10.3390/su162411279
Nurdiana, I., Sarwoko, E., & Arief, M. (2021). The impact of social media adoption on customer orientation and SME performance: An empirical study in Indonesia. Journal of Asian Finance, 8(6), 357–0365. https://doi.org/10.13106/jafeb.2021.vol8.no6.0357
Sigey, R. K., Omwenga, J., & Sije, A. (2023). Competitor orientation and performance of small and medium enterprises in Kenya. Journal of Strategic Management, 3(4), 1–14. https://doi.org/10.70619/vol3iss4pp1-14
Utama, A. P., Shiratina, A., Marlapa, E., Ali, A. J. (2025). Customer citizenship behavior on business performance: Artificial intelligence as moderation in SMEs. Jurnal Riset Bisnis dan Manajemen, 18(1). https://journal.unpas.ac.id/index.php/jrbm/index
Wahab, A. (2025). Exploring the impact of market customer orientation on customer relationship performance with moderating role of artificial intelligence capabilities and skills.
Wahed, M. K. Y. A., Al-shanableh, N., Saatchi, S. G., Thwaib, B. M. S. A., Al-Shorman, H. M., Alzboon, M. S., Alqaraleh, M. K. S., Alzyoud, M., Al-Momani, A. M., & Shelash, S. I. (2025). The influence of relative advantage on the acceptance of artificial intelligence in Jordanian SMEs. In Artificial Intelligence in SMEs (pp. 119–133). https://doi.org/10.1007/978-3-031-73899-9_10
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Copyright (c) 2025 Intan Rahma Dewi, Muhammad Ikko Oktaviano, Wildan Arief Firdaus, Puji Endah Purnamasari, Ditya Permatasari

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