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

Akhtar, Pervaiz, Tse, Y.K., Khan, Zaheer, Rao-Nicholson, R. (2015) Data-driven and adaptive leadership contributing to sustainability: global agri-food supply chains connected with emerging markets. International Journal of Production Economics, 181 (B). pp. 392-401. ISSN 0925-5273. (doi:10.1016/j.ijpe.2015.11.013) (KAR id:59837)

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https://dx.doi.org/10.1016/j.ijpe.2015.11.013

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.

Item Type: Article
DOI/Identification number: 10.1016/j.ijpe.2015.11.013
Uncontrolled keywords: Data-driven and adaptive leadership, Endogeneity, Global agrifood supply chains, Structural equation modeling, Sustainability, Commerce, Finance, Food supply, Supply chains, Agri-food supply chains, Chief executive officer, Data driven, Endogeneity, Financial sustainability, Global supply chain, Operations managers, Structural equation modeling, Sustainable development
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Depositing User: Zaheer Khan
Date Deposited: 11 Jan 2017 11:23 UTC
Last Modified: 11 Oct 2021 09:05 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/59837 (The current URI for this page, for reference purposes)
Khan, Zaheer: https://orcid.org/0000-0001-5538-3123
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