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Many e-commerce firms suffer from high returns because of inaccurate and incomplete product information. Omnichannel and bundling settings can help firms improve operational efficiency and lower returns costs. However, no studies have been conducted on omnichannel supply chains considering bundling strategies. The purpose of this study is to examine the comparison between test-in-store-and-buy-online (TSBO) and online retail, comparing manufacturers’ bundling with retailers’ bundling.

The supply chain discussed here consists of two competitive manufacturers and one retailer. The retailer sells both manufacturers' products online and displays one manufacturer's product in a showroom who bears the display cost. Stackelberg game theory is used to develop mathematical models that help manufacturers and retailers make the most effective decisions. Here, the manufacturer is the Stackelberg leader, while the retailer is the follower. Using the backward induction approach, the authors determined the optimal values for selling price, wholesale price and service effort level.

The results show that the total TSBO retailing profit under manufacturer bundling is highest when the second manufacturer integrates with the online retailer. The result additionally establishes that when the bundling cost exceeds a certain threshold (1.5), the total profit is higher for the non-integrated type of supply chain channel as compared to the integrated retailer bundling-based configuration.

The operations and logistics manager will likely undertake the TSBO omnichannel strategy during manufacturers bundling and retailer bundling under the integrated strategy.

The main contribution of the study is to examine the effect of TSBO retailing on supply chains profit and individual decision-making under different bundling strategies. The authors developed different mathematical models in the TSBO retailing and bundling context and extended the earlier work in the area of integration frame.

The purpose of this study is to provide a unique competitive advantage to businesses in providing a wide range of products to prospective customers. To the best of the author’s knowledge, there is no study to discuss the impact of customer-centric retailing on total supply chain profit under price competition between organized and unorganized retailers.

This paper considers a supply chain comprising of organized and unorganized retailers and a single manufacturer. This paper proposes three mathematical models considering a customer-centric approach in a competitive environment. Stackelberg game is used to examine how members of the chain interact, and Nash equilibrium was used to find optimal strategies for players under different customer-centric approaches.

The results show that the total supply chain profit is higher when both organized and unorganized retailers use a customer-centric approach independently instead of collaborating process. The result, in addition, establishes that when the dissatisfying cost exceeds a certain threshold (1.5), the total profit is higher for the organized customer-centric effort model compared to the other two models.

The main contribution of the study is to examine the effect of customer-centric retailing, considering dissatisfying costs on supply chains profit and individual decision-making under price competition between organized retailers and unorganized retailers. The authors developed different mathematical models in the different customer-centric approach.

Currently, digital technology has been proposed as a new archetype for developing an effective traceability system in the perishable food supply chain (FSC). Implementation of such a system needs significant investment and the burden lies with the members of the supply chain. The purpose of this paper is to examine the impact on the profit of the supply chain members due to the implementation of an effective traceability system with such a large investment. The study also tries to explore the impact of the implementation of such a system by coordination among the members through a cost-sharing mechanism.

A two-level supply chain that comprises a supplier and retailer is analyzed using a game-theoretic approach. The mathematical models are developed considering the scenario for an individual, centralized and both members invest using a cost-sharing mechanism. For each of the models, the impact of product selling price, information sensing price and quality improvement level on profit is analyzed through numerical analysis.

The study reveals that consumer involvement can be a strong motivation for the supply chain members to initiate investment in the traceability system. Further, from an investment perspective cost-sharing model is beneficial compared to the individual investment-bearing model. This mechanism can coordinate as well as benefit the FSC members. However, the model is less beneficial to the centralized model from profit and quality improvement levels.

Food wastage can be less from supplier and retailer perspectives. Moreover, consumers can purchase food items only after verifying their shipping conditions. Consequently the food safety scandals can be reduced remarkably.

Digital technology adoption in the perishable FSC is still considered emerging. The present study helps organizations to implement a traceability system in the perishable FSC through consumer involvement and a cost-sharing mechanism.

The increasing complexity and globalization of supply chains raise risks such as human rights abuses and environmental damage while affecting their supply chain performance (SCP), which prompted a study on supply chain due diligence (SCDD) practices. This study examines the impact of SCDD practices on the SCP. It examines if and how these relationships can be influenced by factors such as organizational culture and trust.

A conceptual model and hypotheses based on institutional theory were developed. The survey instrument captures organizations' perceptions of SCDD practices and related key performance indicators for SCP. The study collects data from 329 supply chain and logistics managers in Indian manufacturing and logistics organizations, and the hypotheses are validated using a structural equation model.

Results indicate that SCDD practices positively influence SCP. Trust and organizational culture strengthened SCDD–SCP relationships.

The study explores how organizations perceive and implement due diligence in their supply chains, highlighting areas for improvement. This understanding could help organizations enhance their supply chain management strategies, leading to better risk management, cost reduction, avoiding penalties and improved overall performance.

The main contribution of the study is to examine organizations' perceptions of SCDDA implementation and then identify its effects on supply chain performance. This is done considering trust and organizational culture as moderating factors.

Acceptance of remanufactured products by the consumers is highly essential for the success of closed loop supply chain and for achieving the goal of circular economy. However, the literature shows that consumers are reluctant to purchase remanufactured products. Therefore, the study of attitude and purchase intention (PI) of the consumers toward remanufactured products becomes inevitable for popularizing these products. The paper aims to discuss this issue.

This research proposes a conceptual model to examine the critical factors influencing the PI of Indian consumers toward remanufactured products. Further, this model is empirically tested, using structural equation modeling technique, based on the data obtained from 1,534 respondents.

The findings of this research suggest that PI of consumers is influenced by attitude, personal benefits, remanufactured product knowledge, risk perception, subjective norm and market strategy. However, perceived behavior control and green awareness have a non-significant impact on the PI of Indian consumers.

The proposed conceptual model is tested only against the data received from the students of Indian universities who possess electronic gadgets.

The circular economy can be realized through remanufacturing if the attitude of consumers is shaped positively toward remanufactured products through the dissemination of comprehensive product information.

This research is the first attempt to assess the PI of Indian consumers by developing and testing the conceptual model. Further, this research provides guidelines to remanufacturing firms for attracting the consumers toward the purchase of remanufactured products.

Human resource management (HRM) is struggling to cope with the increasingly volatile demand for skilled resources in the logistics and supply chain sector. Thus, this study discovers the possible integration of HRM and supply chain management (SCM) practices for improved supply chain performance. The purpose of this study is to explore the effect of intra HRM–SCM and joint HRM–SCM decisions on the performance of the supply chain.

An intra HRM–SCM and joint HRM–SCM model is developed following an empirical study. Survey data collected from 109 supply chain managers from Indian logistics firms are used to test the developed hypotheses. Structural equation modeling is used to analyze and validate the model.

The results suggest that supply chain performance is significantly influenced by joint HRM–SCM, compared to intra HRM–SCM practices, especially under volatile demand environments. Training and development, recruitment and selection, and performance management affect joint HRM–SCM significantly compared to the other three factors identified. Moreover, HRM and SCM show strong correlation and mutual support in identifying and fulfilling the demand of the logistics and supply chain sector.

With a growing trend toward globalization and digitalization, a joint HRM–SCM model will help businesses make robust and informed decisions for improved supply chain performance.

An empirical relationship between joint HRM–SCM, intra HRM–SCM, supply chain inhibitors and supply chain performance is established in this study. Although some part of this relationship may already exist, the study provides robust evidence to support this complex, collaborative relationship.

Product counterfeiting has been ubiquitously observed in various segments of the supply chain. The intrinsic values of brands create more opportunities for counterfeiting. The damaging reputation of such brands leaves them to deal with the fallouts of counterfeits. Hence, such companies address them mainly through legal action, price and quality strategy. However, consumer characteristics and the random distribution of counterfeit products to the consumer types affect the effectiveness of a counter strategy. This paper aims to generate insights on how to leverage digital technology to curb counterfeit entities with consideration of consumer characteristics and the random distribution of counterfeits to them.

The authors used game theory and vertical differentiation model to understand and encounter deceptive counterfeiting of brand products. The study understands the economic relationship between a brand product manufacturer and consumer types based on their awareness. Further, the authors have considered different cases in the model to gain useful insights.

The results reveal that when the consumers are proactive, informed and value-conscious brand product manufacturers take digital technology counterstrategy to earn the maximum revenue. Hence, this analysis highlights that the effectiveness of a counterstrategy critically depends on the consumer characteristics, whether they are proactive, informed or unaware.

The study outlines that brand product manufacturers must emphasize on the digital supply chain, product redesign and product tracking facility to empower informed and value-conscious and proactive consumers. Moreover, the government should take steps to create awareness among uninformed consumers via information campaigns.

This paper incorporates the role of consumers and brand product manufacturers to understand and address the deceptive counterfeiting issue.

As public awareness of the concept of sustainable development has increased, a new investor market has appeared. These investors will only make investments in sustainable financial instruments. Yet, how corporate managers can effectively exploit this new financing concept to make their companies risk resilient remains unaddressed. This study, a conceptual research, aims to examine the impact of sustainable finance (SF) on business risk resilience (BR) and the impact of SF on risk management infrastructure (RI). It also addresses the impact of RI on BR and the mediating effect of the former between SF and BR in the corporate world. Finally, this research explores the moderating effect of managerial capability (MC) and firm technology-focused innovation capability (IC) between SF and RI.

This study incorporates both theoretical and empirical works in the sustainability, innovation, risk management and HRM fields. Afterwards, it constructs a conceptual model alongside suppositions that can be tested in further studies.

This study proposes that SF will enhance BR and RI. Moreover, RI will promote BR and positively intervene between SF and BR. Furthermore, MC and IC will reinforce the SF–RI impact such that the SF–RI impact will be strengthened for companies whose MCs and ICs are high than low.

This research affords suggestions for researchers in multidisciplinary fields. It reinforces BR and RI by introducing SF, MC and IC as tactical devices. It also serves as a reference point for forthcoming academics to investigate this conceptual model, empirically, in diverse industries worldwide.

Practical lessons for finance, investment and risk managers, as well as corporate investors are discussed.

This study provides a new research model that demonstrates how SF can be exploited to promote BR and build RI. It also shows how RI can bolster BR and how RI can connect SF to BR. This new model also exhibits how MC and IC moderate the impacts of SF and RI. Thus, it attempts to advance existing knowledge and theoretical frameworks.