Blockchains for SMEs: A Fit-Viability perspective moderated by organizational innovation diffusion for supply chain performance

Lai Wan Wong, Garry Wei Han Tan, Keng Boon Ooi, Hing Kai Chan

Research output: Journal PublicationArticlepeer-review

4 Citations (Scopus)

Abstract

This paper empirically examines the suitability of blockchain for improving supply chain performance in small-medium enterprises through the theoretical lens of the fit-viability model against the impact of organisation innovation diffusion level Data gathered from 206 respondents are analysed using partial least square-structured equation modelling (PLS-SEM) and artificial neural network (ANN). The findings of this study show empirically that enhanced supply chain connectivity, information sharing, and supply chain visibility are fit for enhancing supply chain performance. Economics, management support, and technology infrastructure are important for blockchain viability. Further, an organisation's innovation diffusion level affects the fitness of blockchain for supply chain performance but not viability. The transformational effects of blockchain are mainly centred on its security and trust-enhancing features. However, its deployment continues to be marred by technical complexities and often, scenarios that seem opportune may be a poor fit. This study is among the few that consider the impact of blockchain on supply chain performance through a fit-viability lens against the effect of organisation innovation diffusion level.

Original languageEnglish
Article number103396
JournalTransportation Research Part E: Logistics and Transportation Review
Volume182
DOIs
Publication statusPublished - Feb 2024

Keywords

  • Blockchain
  • Fit-Viability
  • Innovation diffusion
  • Supply chain performance

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

Fingerprint

Dive into the research topics of 'Blockchains for SMEs: A Fit-Viability perspective moderated by organizational innovation diffusion for supply chain performance'. Together they form a unique fingerprint.

Cite this