Human Capital and Entrepreneurial Antecedents of Sustainable SME Performance: The Mediating Role of AI Adoption and the Moderating Role of Government Support

Authors

DOI:

https://doi.org/10.46977/amt.2026.v07i02.003

Keywords:

AI Adoption, Entrepreneurial Orientation, Entrepreneurial Self-Efficacy, Government Support, Human Capital, Mediation, SMEs, Sustainable Performance

Abstract

What causes small and medium-sized enterprises (SMEs) with similar resources to have such a variance in success in harnessing the power of artificial intelligence (AI) for long-term gain? This article presents some initial ideas to answer this question. Among the causes, this work identifies human capital, which denotes the firm’s capabilities, and entrepreneurial precursors, which include self-efficacy and orientation and are the motivational and dispositional aspects of the decision maker and the firm’s posture. This article's central claim is that these causes do not directly correlate with long-term gain. AI adoption is the mediating mechanism through which the firm’s capabilities and the decision maker’s disposition are converted into a digital capability, and the extent of this change is determined by the level of government support. The framework is built on the ability-motivation-opportunity synthesis and the microfoundations of dynamic capabilities. It yields seven propositions and an integrated model. The contribution is to reposition AI adoption from a dependent variable, as the adoption literature usually treats it, to a mediating mechanism; to derive the moderating role of government support from a multiplicative interaction logic rather than asserting a direct effect; and to bring the capability-based and agency-based accounts of small firm digital transformation into a single explanatory structure. The article closes with an agenda for empirical testing.

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References

Almashawreh, R. E., Talukder, M., Charath, S. K., & Khan, M. I. (2024). AI adoption in Jordanian SMEs: The influence of technological and organizational orientations. Global Business Review. https://doi.org/10.1177/09721509241250273

Appelbaum, E., Bailey, T., Berg, P., Kalleberg, A. L., & Bailey, T. A. (2000). Manufacturing advantage: Why high-performance work systems pay off (pp. 129-165). ILR Press: Ithaca, NY.

Badghish, S., & Soomro, Y. A. (2024). Artificial intelligence adoption by SMEs to achieve sustainable business performance: Application of the technology-organization-environment framework. Sustainability, 16(5), 1864. https://doi.org/10.3390/su16051864

Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108

Becker, G. S. (1964). Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, by Gary S. Becker.. (Vol. 1). London.

Chen, C. C., Greene, P. G., & Crick, A. (1998). Does entrepreneurial self-efficacy distinguish entrepreneurs from managers? Journal of Business Venturing, 13(4), 295-316. https://doi.org/10.1016/S0883-9026(97)00029-3

Cimino, A., Corvello, V., Troise, C., Thomas, A., & Tani, M. (2025). Artificial intelligence adoption for sustainable growth in SMEs: An extended dynamic capability framework. Corporate Social Responsibility and Environmental Management, 32(5), 6120–6138. https://doi.org/10.1002/csr.70019

Dwikat, S. Y., Arshad, D., & Mohd Shariff, M. N. (2023). Effect of competent human capital, strategic flexibility and turbulent environment on sustainable performance of SMEs in manufacturing industries in Palestine. Sustainability, 15(6), 4781. https://doi.org/10.3390/su15064781

Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10-11), 1105-1121. https://doi.org/10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E

Elkington, J. (1997). Cannibals with forks: The triple bottom line of 21st century business. Capstone.

Jaakkola, E. (2020). Designing conceptual articles: Four approaches. AMS Review, 10(1), 18-26. https://doi.org/10.1007/s13162-020-00161-0

Jamil, K., Zhang, W., Anwar, A., & Mustafa, S. (2025). Exploring the influence of AI adoption and technological readiness on sustainable performance in Pakistani export sector manufacturing small and medium-sized enterprises. Sustainability, 17(8), 3599. https://doi.org/10.3390/su17083599

Kukanja, M. (2024). Examining the impact of entrepreneurial orientation, self-efficacy, and perceived business performance on managers' attitudes towards AI and its adoption in hospitality SMEs. Systems, 12(12), 526. https://doi.org/10.3390/systems12120526

Kulal, S. M., Yadewani, D., Darsih, D., Hendra, M., & Marjohan, M. (2026). Predicting business performance with AI: a quantitative comparison of traditional vs. Ai-driven forecasting models among msmes in klang valley. Jurnal Apresiasi Ekonomi, 14(2), 306-316.

Lumpkin, G. T., & Dess, G. G. (1996). Clarifying the entrepreneurial orientation construct and linking it to performance. Academy of Management Review, 21(1), 135-172. https://doi.org/10.5465/amr.1996.9602161568

MacInnis, D. J. (2011). A framework for conceptual contributions in marketing. Journal of Marketing, 75(4), 136-154. https://doi.org/10.1509/jmkg.75.4.136

Mostafiz, M. I., Ahmed, F. U., Ahammad, M. F., & Rahman, P. N. A. (2025). Entrepreneurial cognition and artificial intelligence adoption: Contingency role of innovation ecosystem resource mobilization and entrepreneurial bricolage. R&D Management, 55(5), 1754-1772. https://doi.org/10.1111/radm.12781

OECD. (9th December 2025). AI adoption by small and medium-sized enterprises (G7 discussion paper). OECD Publishing. https://www.oecd.org/en/publications/2025/12/ai-adoption-by-small-and-medium-sized-enterprises_9c48eae6.html

Salamiah, S. K., Yadewani, D., Febrina, D. I., Diapepin, M., & Yerizal, Y. (2026). AI in Strategic Marketing: Leveraging Machine Learning for Consumer Behavior Prediction - A Case Study of MSMEs in Selangor. International Journal of Islamic Business and Management Review, 6(1), 146–157. https://doi.org/10.54099/ijibmr.v6i1.1824

Shaban, O. K. A., Beshr, B. A. H., & Riyadh, H. A. (2025). The moderating role of government support between knowledge management systems, organizational agility, AI capabilities, and organizational performance in SMEs. TEM Journal, 14(2), 1250-1259. https://doi.org/10.18421/TEM142-26

Sirmon, D. G., Hitt, M. A., & Ireland, R. D. (2007). Managing firm resources in dynamic environments to create value: Looking inside the black box. Academy of Management Review, 32(1), 273-292. https://doi.org/10.5465/amr.2007.23466005

Soulami, M., Benchekroun, S., & Galiulina, A. (2024). Exploring how AI adoption in the workplace affects employees: A bibliometric and systematic review. Frontiers in Artificial Intelligence, 7, Article 1473872. https://doi.org/10.3389/frai.2024.1473872

Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319-1350. https://doi.org/10.1002/smj.640

Zihan, W., & Makhbul, Z. K. M. (2024). Green human resource management as a catalyst for sustainable performance: Unveiling the role of green innovations. Sustainability, 16(4), 1453. https://doi.org/10.3390/su16041453

Published

2026-10-10

How to Cite

Yadewani, D., Kulal, S. M. ., & Wijaya, R. . (2026). Human Capital and Entrepreneurial Antecedents of Sustainable SME Performance: The Mediating Role of AI Adoption and the Moderating Role of Government Support. Advancement in Management and Technology (AMT) , 7(2), 39-55. https://doi.org/10.46977/amt.2026.v07i02.003

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