Data-driven and adaptive leadership contributing to sustainability: global agri-food supply chains connected with emerging markets

Akhtar, Pervaiz; Tse, Ying Kei; Khan, Zaheer; Rao-Nicholson, Rekha

Abstract

Despite numerous promises on the links between data-driven and adaptive leadership, non-financial sustainability and financial sustainability, scholars have not conducted enough empirical research to test the links based on globally and massively connected emerging supply chains. This study therefore scrutinizes the interlocking links by applying the data collected from chief executive officers, managing directors and senior operations managers of such supply chains rooted in emerging markets. The possibly purified results raised from structural equation modeling indicate that data-driven and adaptive leadership is a key determinant for non-financial sustainability, which in turn contributes to financial sustainability. Directly, the leadership also plays a vital role for financial sustainability. Interaction effects further depict that the companies which apply more data-driven and adaptive leadership practices perform better compared to those which less focus on such practices. Consequently, the results provide the deeper understanding of the mechanism of how global supply chain leaders can use data-driven and adaptive leadership to co-create financial and non-financial sustainability.

Citation

Akhtar, P., Tse, Y. K., Khan, Z., & Rao-Nicholson, R. (2016). Data-driven and adaptive leadership contributing to sustainability: global agri-food supply chains connected with emerging markets. International journal of production economics, 181(Part B), 392-401. https://doi.org/10.1016/j.ijpe.2015.11.013

• Acceptance Date: Nov 20, 2015
• Online Publication Date: Nov 30, 2015
• Publication Date: Nov 1, 2016
• Deposit Date: Feb 11, 2016
• Publicly Available Date: Nov 23, 2017
• Journal: International journal of production economics
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 181
• Issue: Part B
• Pages: 392-401
• DOI: https://doi.org/10.1016/j.ijpe.2015.11.013
• Keywords: Data-driven and adaptive leadership, Sustainability, Global agrifood supply chains, Structural equation modeling, Endogeneity
• Public URL: https://hull-repository.worktribe.com/output/385281
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S0925527315005125
• Additional Information: Authors' accepted manuscript of article published in: International journal of production economics, 2016, v.181, part B.