Understanding the Role of AI in Supply Chain Innovation: A Framework for HRM Integration

Abstract

In the era of digital transformation, Artificial Intelligence (AI) is reshaping supply chain operations through predictive analytics, real-time decision-making, automation, and enhanced customer responsiveness. However, the integration of AI into supply chain innovation requires not only technological readiness but also strategic alignment with Human Resource Management (HRM) practices. This paper proposes a conceptual framework that explores the interlinkages between AI-driven supply chain innovation and HRM integration. Drawing upon multidisciplinary literature in supply chain management, AI, and strategic HRM, the study outlines how HRM can facilitate organizational agility, workforce reskilling, and talent development to support AI implementation in supply chains. The paper identifies key enablers and barriers, highlights the role of HR in change management, and offers recommendations for fostering a collaborative environment that supports technological innovation. By bridging the gap between technological advancement and human capability, this framework aims to guide practitioners and researchers in designing sustainable, AI-powered supply chains with a robust human capital foundation. The findings have significant implications for HR leaders, supply chain strategists, and policymakers involved in the digital transformation journey.

Introduction

The global supply chain landscape is undergoing significant disruptions, prompting organizations to adopt AI technologies like machine learning, predictive analytics, and automation to improve agility, responsiveness, and resilience. However, successful AI integration in supply chains depends not only on technology but also on strategic human resource management (HRM). HRM plays a critical role in aligning workforce capabilities with digital transformation through reskilling, talent management, and fostering a culture of continuous learning and adaptability.

The paper highlights that while AI enhances operational efficiency and supply chain innovation, its benefits are maximized when combined with HRM strategies that address workforce readiness, change management, and organizational culture. Leadership and digital maturity further influence how AI and HRM integration drives supply chain innovation outcomes such as improved agility, resilience, and new business models.

A conceptual framework is proposed to illustrate the interdependencies between AI capabilities, strategic HRM, and supply chain innovation, moderated by factors like organizational culture, leadership, and technological readiness. The study emphasizes the need for a multidisciplinary approach to fully understand how AI and HRM together transform supply chains and calls for empirical validation of the framework in future research.

In conclusion, effective collaboration between HR and supply chain functions, supported by visionary leadership and a learning-oriented culture, is essential for leveraging AI to build sustainable, agile, and innovative supply chains.

Conclusion

The integration of AI into supply chain management represents a transformative shift that necessitates strategic alignment with HRM practices. This paper has explored a conceptual framework highlighting how AI capabilities, when effectively supported by adaptive HRM strategies, can drive innovation in supply chains. Key variables such as organizational culture, leadership, and digital readiness serve as critical enablers or constraints in this integration process. The successful implementation of AI in SCM hinges not solely on technological investments but also on the human capital and organizational systems that support its deployment. HRM must evolve from administrative functions to strategic partners in digital transformation by championing reskilling, change management, and workforce adaptability (Tambe et al., 2019). Meanwhile, supply chain leaders must recognize the value of human-AI collaboration and invest in building inclusive, ethical, and agile systems. Ultimately, organizations that view HRM as an integral part of their AI-driven innovation strategy will gain a competitive edge in navigating complex, volatile supply chain environments. Future research should empirically validate this proposed framework and explore sector-specific applications to further deepen our understanding of AI-HRM-SCM dynamics in practice”.

References

[1] Adel, H. M., & Younis, R. A. A. (2023). Interplay among blockchain technology adoption strategy, e-supply chain management diffusion, entrepreneurial orientation and human resources information system in banking. International Journal of Emerging Markets, 18(10), 3588-3615. [2] Al-Faouri, E. H., Abu Huson, Y., Aljawarneh, N. M., & Alqmool, T. J. (2024). The role of smart HRM in the relationship between technology application and innovation performance. Sustainability, 16(11), 4747. [3] AL-Shboul, M. D. A. (2024). AI drivers\' effect on willingness to adopt the human capital supply chain in manufacturing firms: an empirical investigation from developing countries–a mediation model. Industrial Management & Data Systems, 124(10), 2919-2938. [4] Alzeiby, E. A., Islam, N., Shaik, A. S., & Yaqub, M. Z. (2025). AI adoption in enterprises for enhanced strategic HRM practices: benefiting the employee engagement and experience. Journal of Enterprise Information Management. [5] Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2024). AI-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation. Annals of operations research, 333(2), 627-652. [6] Budhwar, P., Malik, A., De Silva, M. T., & Thevisuthan, P. (2022). AI–challenges and opportunities for international HRM: a review and research agenda. The InTernaTIonal Journal of HRM, 33(6), 1065-1097. [7] Goswami, M., Jain, S., Alam, T., Deifalla, A. F., Ragab, A. E., & Khargotra, R. (2023). Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector. Frontiers in pharmacology, 14, 1215706. [8] Gouda, G. K., & Tiwari, B. (2024). Dynamic nexus between Smart HR 4.0 and innovation ambidexterity: a fuzzy-TISM and MICMAC approach. Journal of Organizational Effectiveness: People and Performance, 11(4), 807-824. [9] Jahangir, S., Xie, R., Iqbal, A., & Hussain, M. (2025). The influence of sustainable HRM practices on logistics agility: the mediating role of AI. Sustainability, 17(7), 3099. [10] Jena, S. K., & Ghadge, A. (2021). An integrated supply chain–HRM approach for improved supply chain performance. The international journal of logistics management, 32(3), 918-941. [11] Kaushal, N., & Ghalawat, S. (2023). Research perspective of AI and HRM: a bibliometric study. International Journal of Business Innovation and Research, 31(2), 168-196. [12] Pillai, R., & Srivastava, K. B. (2024). Smart HRM 4.0 practices for organizational performance: the role of dynamic capabilities. Benchmarking: An International Journal, 31(10), 3884-3908. [13] Roul, J., Mohapatra, L. M., Pradhan, A. K., & Kamesh, A. V. S. (2024). Analysing the role of modern information technologies in HRM: management perspective and future agenda. Kybernetes. [14] Roy, S. K., Dey, B. L., Brown, D. M., Abid, A., Apostolidis, C., Christofi, M., & Tarba, S. (2025). Business model innovation through AI adaptation: the role of strategic human resources management. British Journal of Management, 36(2), 546-559. [15] Shahid, S., Kaur, K., Mohyuddin, S. M., Prikshat, V., & Patel, P. (2025). Revolutionizing HRM: a review of human-robot collaboration in HRM functions and the imperative of change readiness. Business Process Management Journal. [16] Song, D., Zhang, P., Shi, R., & Yin, Y. (2024). Impact of strategic HRM on open innovation: a chain mediation analysis of intellectual capital and supply chain integration. Chinese Management Studies, 18(4), 1085-1106. [17] Yamin, M. A., Almuteri, S. D., Bogari, K. J., & Ashi, A. K. (2024). The influence of strategic HRM and AI in determining supply chain agility and supply chain resilience. Sustainability, 16(7), 2688.

Copyright

Copyright © 2025 Dr. Neeraja Kalluri. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.