Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance

Surajit Bag, Muhammad Sabbir Rahman, Gautam Srivastava, Adam Shore and Pratibha Ram

Technological Forecasting and Social Change, 2023, vol. 186, issue PB

Abstract: In the real world of practice, data-driven supply chains have gained huge popularity in recent years. This has led operations and supply management researchers to the focus on the role of advanced information and technology, including big data. Literature highlights that the use of big data can enhance business performance. Nonetheless, big data is analyzed by humans and a lack of virtue ethics could lead to disastrous consequences (erroneous decision-making can stem from bad data analysis resulting in not only huge business losses but also deterioration of relationships with suppliers and customers in the supply chain). To address the calls of previous researchers, this study utilizes the Ethical Theory of Organizing framework and Stakeholder theory to develop the theoretical model and further examine the relationships. The samples are drawn from the manufacturing industry. Hypothesis testing is executed through covariance-based structural equation modeling and finally, the conclusions are drawn. The findings of this work provide a more nuanced understanding of virtue ethics and big data implications, thereby answering the important questions of “why” and “how” data-driven green and lean practices increase the stakeholders' trust and enhance viable, sustainable, and digital supply chain performance.

Keywords: Virtue ethics; Big data; Industry 4.0; Ethical theory of organizing; Stakeholder theory; Viable; Sustainable; Digital supply chain performance (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522006758
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:186:y:2023:i:pb:s0040162522006758

DOI: 10.1016/j.techfore.2022.122154

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().