Purpose This study aims to examine the relationship between the perception of consumers about corporate social responsibility (CSR) and consumers’ purchasing behaviour in the retail sector. Specifically, this study investigates the impact of perceived CSR on consumer attitude and behaviour and the influence of attitude on the relationship between perceived CSR and purchase behaviour. Design/methodology/approach In this study for collection of the data, an online questionnaire was distributed among the Indian retail consumers. From the collected primary data set, 249 data points were found fit for analysis. Further, the direct, indirect and moderating effects were evaluated using the structural equation modelling technique. Findings It is identified that while perceived CSR has a significant influence on consumer purchase behaviour, consumer attitude is having an insignificant impact on the relationship between perceived CSR and purchase behaviour. The findings of this study also show that consumer demographics do not have any moderating impact on the relationship between perceived CSR and purchase behaviour. Research limitations/implications The findings of this study are useful to retail managers interested in enhancing CSR. The results of this study suggest that retailers should focus on strengthening consumers’ perceptions about retailers’ CSR initiatives and enhancing co-creation activities. As an extension to this research, further study can include more potential mediators like consumer effectiveness and timing of CSR initiatives. Originality/value This study applies stakeholder theory as well as extends the classic theory of planned behaviour model and proposes the establishment of links among consumers’ perceptions about CSR, consumer attitude and behaviour around the retail sector. In addition, this study considers not only overall consumer behaviour but also specific dimensions of consumer behaviour, namely, loyalty, intention and satisfaction.

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Purpose In the modern era of e-grocery, attended home delivery (AHD) has been identified as a crucial part of the last-mile delivery problem. This paper aims to deal with a real-life last-mile-delivery problem in the context of the Indian public distribution system (PDS). The authors identified two different environments for the said AHD problem and proposed two different approaches to address the issue under these problem settings. Design/methodology/approach In this study, the authors first consider the problem in a static environment and propose an iterated local search (ILS) integrated with an adaptive large neighborhood search (ALNS) meta-heuristic algorithm to obtain a routing solution. Thereafter, they extend the study in a dynamic environment where new delivery requests occur dynamically and propose a heuristic algorithm to solve the problem. For the dynamic case, multiple scenarios for the occurrence of delivery requests are considered to determine decisions regarding the opportunity to include a new request into the current solution. Findings By computational experiments, the authors show that the proposed approach performs significantly well for large size problem instances. They demonstrate the differences and advantages of the dynamic problem setting through a set of different scenarios. Also, they present a comparative analysis to show the benefits of adopting the algorithm in dynamic routing scenarios. Research limitations/implications Future research may extend the scope of this study by incorporating stochastic delivery failure probabilities and customer behavior affecting the delivery response. Also, the present study does not take inventory policies at the depot into consideration. It will be of interest to see how the system performs under the uncertainty of supply from the depot. Despite the limitations, the authors believe that this study provides food for thought and encouragements for practitioners. Practical implications This study shows the benefits of adopting an AHD problem in a dynamic setting in terms of customer service as compared to a traditional static environment. The authors clearly demonstrate the differences and advantages of the dynamic problem setting through a set of different scenario analysis. Social implications This paper investigates a real-life AHD problem faced by the Department of Food, Supply and Consumer Affairs, India. The findings of this study will be of particular interest to the policy-makers to build a more robust PDS in India. Originality/value The study is unique and highly relevant for real-world applications and can help build a more robust AHD system. Also, the proposed solution approaches to aid the problem in both static and dynamic routing scenarios will be of particular interest to practitioners.

Purpose India has the largest public distribution system (PDS) in the world, working through over five million fair price shops (FPS) to distribute food grains among its beneficiaries at a subsidized rate. In this paper, the authors study the inventory system of Indian FPS. The system involves a distributor, who is solely responsible for the replenishment of the FPS. In a real-world scenario, the distributor is subjected to random supply and transportation disruptions. The purpose of this paper is to investigate and minimize the impacts of such disruptions. Design/methodology/approach In this paper, the authors adopt a simulation-based technique to explore the impacts of various traits of disruptions like frequency and duration on the FPS inventory system. A simulation model for the Indian FPS is developed and the impacts of disruptions are investigated by a case study. Findings The authors use a simulation-based optimization technique to suggest a simple managerial change that can lead to a minimization of inventory shortage up to 60 per cent and system cost up to 21 per cent over the existing practice. Originality/value The present study addresses the FPS inventory system of Indian PDS, which is by its nature unique and has not been considered by any other previous literature. The findings of this study will be of particular interest to the policy-makers to build a more robust PDS in India.