Title: Performance analysis of data-driven sustainable supply chain management

Authors: Yavuz Gazibey; Yesim Deniz Ozkan-Ozen; Yucel Ozturkoglu

Addresses: Izmir, Turkey ' Yaşar University, Bornova, Turkey ' Yaşar University, Bornova, Turkey

Abstract: To be sustainable is essential for the long-term welfare of organisations, and to be sustainable, companies need to focus primarily on complicated supply chain structures. With digitalisation, the most critical issue of supply chains in the new industrial age is to be data-driven. Therefore, bridging the sustainable supply chain (SSC) to data-driven performance is necessary. The research question of this study is whether data-driven performance criteria can contribute to a SSC. Therefore, it is aimed to identify the various enablers and determine the relative importance of these enablers that are critical to the success of data-driven SSC management. To achieve this aim, this study proposes a holistic structure consisting of a detailed literature review and best worst method (BWM) implementation. This study's main contribution is integrating sustainability and data-driven dimensions by presenting criteria for the supply chain management.

Keywords: sustainability; supply chain management; decision-making; data-driven technologies; performance management.

DOI: 10.1504/IJBPM.2024.140738

International Journal of Business Performance Management, 2024 Vol.25 No.5, pp.630 - 656

Received: 20 Apr 2022
Accepted: 06 Jan 2023
Published online: 02 Sep 2024 *

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