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Addressing skills mismatch: Utilizing talent supply chain management to enhance collaboration between companies and talent suppliers

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  • Makarius, Erin E.
  • Srinivasan, Mahesh

Abstract

Talent management continues to be a topic of interest for employers who face significant challenges dealing with the uncertainty of the supply and demand of talent in organizations. In particular, employers often speak of a talent gap that exists between the skills possessed by applicants and the skills needed in organizations. Supply chain management (SCM), a field that focuses on matching product supply with consumer demand, offers several concepts and models that could apply to and help resolve issues related to the skills mismatch. In order to address this issue, we base our conceptual development on a theoretical framework used in SCM called the collaborative, planning, forecasting, and replenishment (CPFR) approach. We use this approach to develop a comprehensive model of talent supply chain management (TSCM) that applies concepts related to the field of SCM to managing the development and flow of talent. We further go on to describe how organizations can utilize TSCM to enhance connections with talent suppliers to get their labor demands fulfilled with individuals who have the necessary skills for success.

Suggested Citation

  • Makarius, Erin E. & Srinivasan, Mahesh, 2017. "Addressing skills mismatch: Utilizing talent supply chain management to enhance collaboration between companies and talent suppliers," Business Horizons, Elsevier, vol. 60(4), pages 495-505.
    • Handle: RePEc:eee:bushor:v:60:y:2017:i:4:p:495-505
    DOI: 10.1016/j.bushor.2017.03.007
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    References listed on IDEAS

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    1. Adobor, Henry & McMullen, Ronald, 2007. "Supplier diversity and supply chain management: A strategic approach," Business Horizons, Elsevier, vol. 50(3), pages 219-229.
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    Cited by:

    1. Albin Bengtsson & E. K. Gustav & A. Karakitsiou, 2026. "Optimizing talent supply chains: deep learning models for resume-based retention forecasting," Operational Research, Springer, vol. 26(2), pages 1-28, June.
    2. Mohammad Shamshul Arefin & Taslima Jannat, 2025. "Adapting HRM Strategies to the Challenges of Global Logistics and Supply Chain Management," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(2), pages 90-106, February.
    3. Makarius, Erin E. & Dachner, Alison M. & Paluch, Rebecca M. & Pedde, Jenn, 2024. "Feel the churn: Exercising talent management practices to support a climate for career mobility," Business Horizons, Elsevier, vol. 67(1), pages 55-69.
    4. repec:bcp:journl:v:9:y:2025:i:11:p:7540-7555 is not listed on IDEAS
    5. Shuya Wang & Xinjia Tian & Hui Wang & Chang Liu & Zhilin Wang & Qiuhua Song, 2023. "Forecasting and Coupled Coordination Analysis of Supply and Demand for Sustainable Talent in Chinese Agriculture," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    6. Cai, Hechang & Wang, Zilong & Ji, Yi & Xu, Liuyang, 2024. "Digitalization and innovation: How does the digital economy drive technology transfer in China?," Economic Modelling, Elsevier, vol. 136(C).
    7. Mustapha Mohammed & Roziana Binti Shaari & Irmawati Binti Norazman, 2024. "Decade of Talent Management Practice in the Banking Industry; A Systematic Review of Literature," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(12), pages 99-128, December.
    8. Yew Chee Chew & Siti Rohaida Mohamed Zainal, 2024. "A Sustainable Collaborative Talent Management Through Collaborative Intelligence Mindset Theory: A Systematic Review," SAGE Open, , vol. 14(2), pages 21582440241, June.

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