Analysis of factors impacting survivability of sustainable supply chain during COVID-19 pandemic: an empirical study in the context of SMEs

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Date

2023

Authors

Manish Mohan Baral
Rajesh Kumar Singh
Yigit Kazancoglu

Journal Title

Journal ISSN

Volume Title

Publisher

EMERALD GROUP PUBLISHING LTD

Open Access Color

Green Open Access

No

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Publicly Funded

No
Impulse
Top 10%
Influence
Average
Popularity
Top 10%

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Journal Issue

Abstract

Purpose Nowadays many firms are finding ways to enhance the survivability of sustainable supply chains (SUSSCs). The present study aims to develop a model for the SUSSCs of small and medium enterprises (SMEs) during the COVID-19 pandemic. Design/methodology/approach With the help of exhaustive literature review constructs and items are identified to collect the responses from different SMEs. A total of 278 complete responses are received and 6 hypotheses are developed. Hypotheses testing have been done using structural equation modeling (SEM). Findings Major constructs identified for the study are supply chain (SC) performance measurement under uncertainty (SPMU) supply chain cooperation (SCCO) supply chain positioning (SCP) supply chain administration (SCA) supply chain feasibility (SCF) and the SUSSCs. From statistical analysis of the data collected it can be concluded that the considered latent variables contribute significantly towardsthe model fit. Research limitations/implications The present study contributes to the existing literature on disruptions and survivability. The study can be further carried out in context to different countries and sectors to generalize the findings. Practical implications The research findings will be fruitful for SMEs and other organizations in developing strategies to improve survivability during uncertain business environments. Originality/value The study has developed a model that shows that the identified latent variables and their indicators contribute significantly toward the dependent variable i.e. survivability. It contributes significantly in bridging the research gaps existing in context to the survivability of SMEs.

Description

Keywords

Survivability, Sustainable supply chains, Dynamic capability view, Resilience, COVID-19, Structural equation modeling, ONLINE ORDER FULFILLMENT, BIG DATA ANALYTICS, RELATIONAL CAPABILITIES, DIGITAL TRANSFORMATION, COMPETITIVE ADVANTAGE, DYNAMIC CAPABILITIES, MANAGEMENT, FRAMEWORK, PERFORMANCE, RESILIENCE, COVID-19, Survivability, Structural Equation Modeling, Resilience, Dynamic Capability View, Sustainable Supply Chains

Fields of Science

0502 economics and business, 05 social sciences

Citation

WoS Q

Scopus Q

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OpenCitations Citation Count
26

Source

The International Journal of Logistics Management

Volume

34

Issue

4

Start Page

935

End Page

961
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Citations

CrossRef : 24

Scopus : 37

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Mendeley Readers : 273

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7.1923

Sustainable Development Goals