| Title | Barriers to adoption of reverse logistics: a case of construction, real estate, infrastructure and project (CRIP) sectors |
|---|---|
| ID_Doc | 15417 |
| Authors | Ambekar, S; Roy, D; Hiray, A; Prakash, A; Patyal, VS |
| Title | Barriers to adoption of reverse logistics: a case of construction, real estate, infrastructure and project (CRIP) sectors |
| Year | 2022 |
| Published | Engineering Construction And Architectural Management, 29, 7 |
| Abstract | Purpose This study attempts to identify and analyse the barriers to implementing a reverse logistics (RL) system in Indian Construction, Real estate, Infrastructure and Project (CRIP) sectors and present a structured model to identify interdependencies among them. Design/methodology/approach The barriers to implementing RL in CRIP sectors in India were identified using a Delphi study. The interdependencies were identified using Interpretive Structural Modeling (ISM). Further, using the Matriced' Impacts Croises Multiplication Appliquee a un Classement (MICMAC) analysis, the barriers were classified on the basis of their driving power and interdependencies. Findings The study has identified ten barriers 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. Research limitations/implications 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. Practical implications 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. Originality/value 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. Additionally Consequently, these firms can make a move forward towards a circular economy by overcoming these interlinked barriers. |
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