Risks of data-driven technologies in sustainable supply chain management
Management of Environmental Quality
ISSN: 1477-7835
Article publication date: 18 August 2022
Issue publication date: 17 May 2023
Abstract
Purpose
With the rapid change that has taken place with digitalization and data-driven approaches in supply chains, business environment become more competitive and reaching sustainability in supply chains become even more challenging. In order to manage supply chains properly, in terms of considering environmental, social and economic impacts, organizations need to deal with huge amount of data and improve organizations' data management skills. From this view, increased number of stakeholders and dynamic environment reveal the importance of data-driven technologies in sustainable supply chains. This complex structure results in new kind of risks caused by data-driven technologies. Therefore, the aim of the study to analyze potential risks related to data privacy, trust, data availability, information sharing and traceability, i.e. in sustainable supply chains.
Design/methodology/approach
A hybrid multi-criteria decision-making (MCDM) model, which is the integration of step-wise weight assessment ratio analysis (SWARA) and TOmada de Decisao Interativa Multicriterio (TODIM) methods, is going to be used to prioritize potential risks and reveal the most critical sustainability dimension that is affected from these risks.
Findings
Results showed that economic dimension of the sustainable supply chain management (SSCM) is the most critical concept while evaluating risks caused by data-driven technologies. On the other hand, risk of data security, risk of data privacy and weakness of information technology systems and infrastructure are revealed as the most important risks that organizations should consider.
Originality/value
The contribution of the study is expected to guide policymakers and practitioners in terms of defining potential risks causes by data-driven technologies in sustainable supply chains. In future studies, solutions can be suggested based on these risks for achieving sustainability in all stages of the supply chain causes by data-driven technologies.
Keywords
Citation
Ozkan-Ozen, Y.D., Sezer, D., Ozbiltekin-Pala, M. and Kazancoglu, Y. (2023), "Risks of data-driven technologies in sustainable supply chain management", Management of Environmental Quality, Vol. 34 No. 4, pp. 926-942. https://doi.org/10.1108/MEQ-03-2022-0051
Publisher
:Emerald Publishing Limited
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