The impact of blockchain technology on the tea supply chain and its sustainable performance

Tripti Paul, Sandeep Mondal, Nazrul Islam and Sandip Rakshit

Technological Forecasting and Social Change, 2021, vol. 173, issue C

Abstract: Blockchain technology (BCT) has recently attracted interest from academics and practitioners. However, little is known about the benefits and impact of BCT on the tea supply chain and its sustainable performance. To bridge this gap, this study extends the resource-based view (RBV) and network theory (NT) by integrating BCT into the tea supply chain. We develop a conceptual model of a BCT-driven tea supply chain, which we analyse using a partial least squares regression-based structural equation modelling method with data collected from 305 experts in India. The findings show that the use of BCT has a significant positive effect on the tea supply chain; in particular, transparency and reliability are shown as the sustainable performance parameters. The implementation of BCT is a progressive paradigm shift that encourages actors to change their attitudes and become more competent in the tea sector. This study is the first report on integrating BCT into supply chains, contributing to the scant literature on this subject. Furthermore, our conceptual framework could help develop a more sustainable supply chain for the global tea industry.

Keywords: Blockchain technology; Tea supply chain; Resource-based view; Network theory; Sustainable performance (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521005965
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:173:y:2021:i:c:s0040162521005965

DOI: 10.1016/j.techfore.2021.121163

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 ().