Causality sustainable supply chain management practices in the Indonesian coffee industry using qualitative information: digitalization integration leads performance improvement

Tseng, M.-L., Bui, T.-D., Lewi, S., Rizaldy, H., Lim, M. K. and Wu, K.-J. (2023) Causality sustainable supply chain management practices in the Indonesian coffee industry using qualitative information: digitalization integration leads performance improvement. International Journal of Logistics Research and Applications, (doi: 10.1080/13675567.2022.2155936) (Early Online Publication)

Abstract

Sustainable supply chain management practices (SSCMPs) aim to address transparent information, which includes social, environmental, and economic perspectives and Industry 4.0 (I4.0) technology, in the Indonesian coffee industry, SSCMPs highlight those attributes in complex causality interrelationships. Although the effects of I4.0 are discussed in the literature, little attention enables addressing how this digitalisation integration can handle the transition of the agricultural supply chain to sustainability. This study aims to (1) validate the interdependent hierarchical structure of SSCM for I4.0, (2) identify the causal interrelationships among attributes, and (3) determine the critical attributes for SSCM in Indonesian coffee industry practices. An approach consisting of the fuzzy Delphi method, fuzzy decision-making trial and evaluation laboratory, and analytic network process is designed to fulfill the proposed objectives. The results show that digitalisation integration leads to labour conditions, supply chain financing accessibility, and social responsibility being the top causal attributes in the cause-and-effect model.

• Item Type: Articles
• Status: Early Online Publication
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Lim, Professor Ming
• Authors: Tseng, M.-L., Bui, T.-D., Lewi, S., Rizaldy, H., Lim, M. K., and Wu, K.-J.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: International Journal of Logistics Research and Applications
• Publisher: Taylor and Francis
• ISSN: 1367-5567
• ISSN (Online): 1469-848X
• Published Online: 09 December 2022
• Copyright Holders: Copyright © 2022 Informa UK Limited, trading as Taylor and Francis Group
• First Published: First published in International Journal of Logistics Research and Applications 2022
• Publisher Policy: Reproduced in accordance with the publisher copyright policy