Talent Development and Supply Chain Leadership: Building the Next Generation of Supply Chain Leaders

References

[1] Beckman, F., Berndt, J., Cullhed, A., Dirke, K., Pontara, J., Nolin, C., Petersson, S., Wagner, M., Fors, U., Karlström, P., Stier, J., Pennlert, J., Ekström, B., & Lorentzen, D. G. (2021). Digital Human Sciences: New objects – New approaches. https://doi.org/10.16993/bbk

[2] Brown, T., & Wyatt, J. (2010). Design thinking for social innovation. Development Outreach, 12(1), 29–43. https://doi.org/10.1596/1020-797x_12_1_29

[3] Da Xu, L., Xu, E. L., & Li, L. (2018). Industry 4.0: state of the art and future trends. International Journal of Production Research, 56(8), 2941–2962. https://doi.org/10.1080/00207543.2018.1444806

[4] Dubey, R., & Gunasekaran, A. (2015). Supply chain talent: the missing link in supply chain strategy. Industrial and Commercial Training, 47(5), 257–264. https://doi.org/10.1108/ict-11-2014-0073

[5] Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., . . . Williams, M. D. (2019). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

[6] Garcia-Torres, S., Albareda, L., Rey-Garcia, M., & Seuring, S. (2019). Traceability for sustainability – literature review and conceptual framework. Supply Chain Management an International Journal, 24(1), 85–106. https://doi.org/10.1108/scm-04-2018-0152

[7] Helo, P., & Hao, Y. (2021). Artificial intelligence in operations management and supply chain management: an exploratory case study. Production Planning & Control, 33(16), 1573–1590. https://doi.org/10.1080/09537287.2021.1882690

[8] Mapanga, A. (2024). Rethinking competency requirements in South African supply chain management. Journal of Transport and Supply Chain Management, 18, a990.

[9] McKinsey & Company. (2024). McKinsey Global Supply Chain Leader Survey 2024: Building resilient supply chains in an uncertain world. McKinsey & Company.

[10] Pellathy, D., Burnette, M., & Stank, T. (2024). Leadership development for supply chain leaders. Supply Chain Management Review, 28(4), 22-28.

[11] Rivera, N., Franco, S., Wilson, J., Álvaro, R., Aranguren, M., Canto, P., Fernández, J., Gamboa, J., De San, I. G., Lafuente, A., Larrea, M., Magro, E., Menéndez, J., Navarro, M., Peletier, C., Salado, J., Sisti, E., Jesús, M., Valdaliso, A., . . . Vázquez, R. (2021). 2021 Basque Country Competitiveness Report. Constructing competitiveness for wellbeing. In Basque Country Competitiveness Report. https://doi.org/10.18543/dili8149

[12] Schoenherr, T., & Speier‐Pero, C. (2015). Data science, predictive analytics, and big data in supply chain management: current state and future potential. Journal of Business Logistics, 36(1), 120–132. https://doi.org/10.1111/jbl.12082

[13] Skender, H. P., & Zaninović, P. A. (2019). Perspectives of blockchain Technology for sustainable supply chains. In Ecoproduction (pp. 77–92). https://doi.org/10.1007/978-3-030-24355-5_5

[14] Smart industry – better management. (2022). In Advanced series in management. https://doi.org/10.1108/s1877-6361202228

[15] Tammela, I., Canen, A. G., & Helo, P. (2008). Time‐based competition and multiculturalism. Management Decision, 46(3), 349–364. https://doi.org/10.1108/00251740810863834

[16] Tang, C. S. (2024). The role of AI in developing resilient supply chains. Georgetown Journal of International Affairs, 25(1), 45-58.

[17] Wu, C., & Barnes, D. (2013). Partner selection in agile supply chains: a fuzzy intelligent approach. Production Planning & Control, 25(10), 821–839. https://doi.org/10.1080/09537287.2013.766037

[18] Xu, L. (2023). Towards autonomous supply chains: definition, characteristics, conceptual frameworks, and autonomy levels. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4644492

[19] Xu, L., Mak, S., Proselkov, Y., & Brintrup, A. (2024). Towards autonomous supply chains: Definition, characteristics, conceptual framework, and autonomy levels. Journal of Industrial Information Integration, 42, 100698. https://doi.org/10.1016/j.jii.2024.100698

@article{1712154,
      author = {Peter Olakunle Alawiye, Samiat Ishola, Princess Josephine Anya, Ayodeji Adedotun, Adeniyi, Funmilayo Temitope Fadayomi},
      title = {Talent Development and Supply Chain Leadership: Building the Next Generation of Supply Chain Leaders},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {6},
      pages = {1164-1175},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712154.pdf},
      abstract = {The evolution of supply chain management in the digital age has created unprecedented challenges for talent development and leadership cultivation. This study examines the critical intersection of talent development and supply chain leadership within the United States, analyzing how technological disruption, sustainability imperatives, and globalization are reshaping the competencies required for next-generation supply chain leaders. Through comprehensive analysis of industry trends, educational frameworks, and organizational strategies, this research identifies key gaps in current talent development approaches and proposes innovative solutions for building robust supply chain leadership pipelines. The findings reveal that traditional supply chain education and development programs are insufficient to meet the demands of Industry 4.0 and autonomous supply chains, necessitating a fundamental reimagining of how organizations cultivate supply chain talent.},
      keywords = {Industry 4.0. Autonomous Supply chain, Supply chain, Digital Age, Leadership},
      month = {December},
  }