Page 29 - IIMV Newsletter Edition Dec 25

Research@IIMV

driven assessment, we identify 18 barriers, which are subsequently
refined to 13 based on their significance and interrelationships. The
results highlight six dominant causal barriers, including inadequate
government incentives, unstructured urban market layouts, and
high operational costs with prolonged payback periods, all of which
create systemic resistance to EFV adoption. Additionally, limited
charging infrastructure, an immature EFV resale market, and a lack
of dedicated repair centres exacerbate the reluctance of logistics
service providers to transition to EFVs. The study also categorizes
these barriers into four strategic clusters based on their driving and
dependence power, offering a novel hierarchical decision roadmap
to facilitate effective policy interventions. Advancing existing
DEMATEL methodologies, this research contributes to the discourse
on sustainable urban logistics by providing an empirically validated,
analytically rigorous framework that informs policymakers, logistics
service providers, and urban planners in devising effective strategies
for EFV integration. The proposed model facilitates strategic
decision-making for achieving low-carbon urban freight systems
and offers a scalable approach that is applicable to diverse urban
contexts.

Click here to read the paper.

Unlocking blockchain technologies potential in
supply Chains: A study on cost governance and

dynamic capabilities perspective

Aalok Kumar, Sourabh Kumar, Sunil Tiwari

International Journal of Production Economics (ABDC-A)

Blockchain technology adoption in supply chains entails
simultaneously reducing transaction costs and building dynamic
capabilities. This study addresses the gap in prior research that
treated cost minimization and supply chain capability building in
isolation by asking how organizations can integrate cost-governance
and resource-capability dimensions under decision uncertainty to
prioritize blockchain enablers. To address this, the authors propose
a dual-theory multi-criteria decision-making framework combining
transaction cost economics and dynamic capability theory with
a grey system-based weighted influence nonlinear gauge system
(g-WINGS). The analysis revealed that transparency & traceability
emerged as the most critical enabler (R + C = 0.669), driven by sub-
factors such as immutable record-keeping and real-time visibility.
Efficiency & automation, along with security & data integrity, were

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