Page 14 - Faculty Research Publication Booklet_Apr 2022_Mar 2023_Final

This study attempts to identify and analyze the barriers to
implementing a reverse logistics (RL) system in Indian Construction, Ambekar, S., Roy, D., Hiray, A., Prakash,A.,
& Patyal, V. S. (2022). Barriers to adoption
Real estate, Infrastructure and Project (CRIP) sectors and present a
structured model to identify interdependencies among them. The
of reverse logistics: A case of
barriers to implementing RL in CRIP sectors in India were identified
using a Delphi study. The interdependencies were identified using construction, real estate, infrastructure,
Interpretive Structural Modeling (ISM). Further, using the Matriced’
Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) and project (CRIP) sectors. Engineering,
analysis, the barriers were classified on the basis of their driving
power and interdependencies. The study has identified ten barriers Construction and Architectural
Management, 29(7), 2878-2902.
that can hamper the application of an RL system in CRIP sectors.
The finding of the ISM model shows that macro level barriers such
as lack of awareness of reverse logistics, insufficient government
policies and unavailability of standard codes stimulate each other
and also drive all other barriers. The organization-specific barriers
operating at the strategic/tactical level, namely, company’s rigid
mechanism, lack of awareness of economic profits, inadequate
company’s organizational policies and lack of training, reluctance
from stakeholders, scarcity of resources and finance from company
are found at the intermediate level of hierarchy and they can be
influenced by the barriers at the lower level and influence the
barriers on the and higher levels. The operational level barrier
namely “Inadequate Information Technology system” is at the top of
the hierarchy and can be driven by all the barriers at the lower level.
The present findings are based on the opinions of experts only from
Indian CRIP sectors so the results may require to be validated in other
contexts. The structural model presenting the interdependencies will
be a guide for the CRIP supply chain professionals in understanding
and ranking the barriers they may face while implementing the RL
system. The study contributes to the existing literature by providing
a set of barriers and their interdependencies faced during the
implementation of an RL system implementation in CRIP sectors. It is
one of the first studies which identifies barriers applicable to the CRIP
firms in India and models their inter-dependencies. Consequently,
these firms can make a move forward towards a circular economy
by overcoming these interlinked barriers.

Page 8