Purpose – The purpose of this paper is to develop a framework for mapping the Indian Public Distribution System (PDS) using multi-agent system (MAS). The entire PDS supply chain from purchase to the distribution is mapped in detail by integrating stages of PDS supply chain. Design/methodology/approach – Literature related to PDS, food grain supply chain (FGSC) and MAS is reviewed and critically assessed. Based on this a framework is proposed which will help in improving functioning of PDS. Findings – The PDS has many shortcomings arising from its complex structure and practices which are used to implement it. The authors propose an MAS to model it in which each entity will be modelled as an agent. The authors propose two stages of supply chain. First stage models the processes from procurement to storage of food grain and second stage model the distribution process. Practical implications – This paper will be of interest to the policy makers and decision makers involved in the PDS by providing the shortfalls in the system and also suggesting a method to model the PDS based on practices of food supply chains. Originality/value – This paper provides the decision makers in the PDS, a framework to model and assess the entire supply chain. This will help them in effective implementation of the PDS and also improve in the areas of concerns which are pointed the study.

PurposeThis 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/approachThe 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 Croisés Multiplication Appliquée à un Classement (MICMAC) analysis, the barriers were classified on the basis of their driving power and interdependencies.FindingsThe 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/implicationsThe 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 implicationsThe 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/valueThe 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.

Purpose The purpose of this paper is to propose a low carbon culture (LCC) adoption model for gaining the right carbon capabilities by integrating the dimensions of flexibility or control and external or internal of competing values framework (CVF) with that of level of carbon emission (LCE). Design/methodology/approach This study reviewed literature related to low carbon supply chain, CVF and carbon capabilities to synthesize currently available frameworks for assessing culture and carbon-related insights. Based on these insights, this study proposes the carbon culture adoption model and presents some research propositions. Findings This study has extended categorization of culture suggested in CVF from four categories to eight distinct categories by adding “LCE” as a third dimension. The new categories of carbon culture are: “Red,” “Antagonist,” “Obligatory,” “Early Adopter,” “Follower,” “Transitive,” “Pragmatist” and “Green.” This categorization of organizations would help in selecting appropriate low carbon practices (LCPs). Research limitations/implications This study presents purely conceptual framework with some research propositions which needs to be empirically tested. Practical implications Organizations can formulate right policies for low carbon capabilities based on the LCC of their supply chain. Originality/value With increasing awareness about environment across stakeholders, organizations around the world are under pressure to reduce their carbon footprints. The extent of reduction in carbon footprints depends on the right capabilities across the supply chain which in turn depends on selection of the right combination of LCPs based on the supply chain culture.

PurposeThe present study proposes a model to examine the cultural fit between buyers and suppliers for establishing synergies in their processes and practices.Design/methodology/approachThis study assessed buyers' culture through the Competing Values Framework and used Quality Management Practices Model as a proxy to assess suppliers' culture. The data from 262 paired respondents were used for this analysis. This survey was administered in India, using linear snowball-sampling technique. This study applied 3SLS regression for each culture group separately.FindingsThis study has instituted the cultural fit between the buyers' and suppliers' culture. It is observed that for getting synergies between cultures, buyers need to choose a set of suppliers which have similar cultural traits.Research limitations/implicationsThis study presents empirical findings based on data from Indian manufacturing firms. These findings need testing in other developing countries and other sectors.Practical implicationsOrganizations can formulate right policies for supplier selection based on the cultural fit between buyers and suppliers.Originality/valueWith increasing role of suppliers in the value chain, organizations around the world need to work with the right suppliers for gaining a sustainable competitive advantage. Selection of the right suppliers depends on the cultural fit between buyers and suppliers that, in turn, depends on the selection of the right suppliers based on the prevailing culture.

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