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The main aim of this study is to review different aspects of Industry 5.0 (I5.0) along with Kaizen measures to foster this novel aspect of industrial sustainability. The study makes a comprehensive study to explore the implementation status of I5.0 in industries, key technologies, adoption level in different nations and barriers to I5.0 adoption together with mitigation actions.

To do a systematic study of the literature, the authors have used preferred reporting items for systematic reviews and meta-analysis (PRISMA) methodology to extract articles related to the field of the study.

It has been found that academic literature on the I5.0 is continuously growing as the wheel of time is running. Most of the studies on I5.0 are conceptual-based, and manufacturing and medical industries are the flag bearer in the adoption of this novel aspect. Further, due to I5.0's infancy, many organizations face difficulty to adopt the same due to financial burden, resistive nature, a well-designed standard for cyber-physical systems (CPS) and an effective mechanism for human–robot collaboration. Further studies also provide avenues for future research in terms of the identification of collaborative mechanisms between machines and wells, the establishment of different standards for comparison and the development of I5.0-enabled models for different industrial domains.

The study is the first of its kind that reviews different facets of I5.0in conjunction with Kaizen's measures and application areas and provides avenues for future research to improve an organization's environmental and social sustainability.

This exploratory study aims to explore the operational and financial constraints faced by small and medium enterprises (SMEs) in India during the COVID-19 pandemic. The paper highlights the role of supply chain finance (SCF) in the uncertain business environment caused by the pandemic.

The study adopts an inductive approach and conducts convergent interviews with 32 SME owners and bank officials who are associated with SME-related financial transactions. The analysis of the interview data has been done through a grounded theory approach.

The findings portray four key themes representing the operational and financial constraints faced by SMEs during the pandemic. Further, the study identifies four drivers of SCF adoption among SMEs, including capital constraints, high inventory turnover cycle time, high order fulfilment cycle time and long debtors’ collection period.

The study provides various insights to the managers and owners of SMEs to deal with the economic crisis and eliminate the financial pressure created by the pandemic. The study enlightens the policymakers about the struggles of the SMEs during the economic turmoil created by the pandemic and guides them to introduce the relevant policies to resolve their problems.

To the best of the authors’ knowledge, this is the first study to identify the factors driving the SMEs to adopt SCF due to the economic chaos created by the pandemic. Also, the study theoretically contributes to the literature by developing a theoretical framework for SCF adoption based on grounded theory.

Environmental sustainability in health care is an important issue due to the limited available healthcare resources and increase in demand. For instance, organ recycling and transplantation may reduce the increasing pressure on healthcare resources. The purpose of this paper is to set out to identify and interrelate the inhibitors that significantly influence the recycling of human organs and their implications to the environment in developing economies such as India.

The study uses Delphi–ISM–regression, a three-step method, to investigate the possible reasons for the poor supply chain efficiency of organ recycling and to explore the consequence of excessive use of healthcare resources on the environment. The Delphi technique facilitates the identification, synthesis, and prioritization of the inhibitors. Then, using focused group discussion, the interpretive structure modeling (ISM) presents the interaction among the inhibitors into a hierarchy. Further, on the basis of 257 valid responses received on the structured survey instrument, the regression model examines the influence of identified constructs on one of the identified root causes.

The ISM presents the hierarchy-based model that depicts high driving power and low dependence inhibitors leading to reduced organ recycling rate. “Negative Intentions of family members” toward organ donation t “Willingness to discuss with family” and “Perceived Behavioral Control” emerged as the significant factors influencing organ recycling rate, which adversely impact the environment sustainability.

The patients on the organ waiting list put pressure on the availability of medical resources and, ultimately, on the environment through the consumption of different drugs and disposable of medical wastes. The study suggests policymakers and hospitals improve on the existing policies for an efficient supply chain of human organ recycling. The Indian situation echoes the situation in most of the emerging economies, and similar solutions can apply there too.

This study aims to map the major research constituents and trends for the Journal of Business and Industrial Marketing (JBIM) during its 34-year history (1986–2019). It also identifies JBIM’s thematic structure and the key factors affecting the impact of its articles.

The Scopus database is used to identify the bibliographic data of JBIM. The most prolific authors, institutions and countries in the journal are analyzed through weighted distributions of articles. The thematic structure of the journal is evaluated by means of bibliographic coupling analysis. The study also examines the factors influencing citations of JBIM articles through regression modeling.

JBIM publishes contributions from around the world, though the most prolific contributors are affiliated with the USA, UK and Finland. Thematic analysis divided JBIM articles into five major themes. Citation analysis reveals that article age, special issue appearance, number of author keywords and number of references are prominent factors explaining an article’s impact.

This study uses data from the Scopus database, and limitations of the database have implications for the findings.

This is the first comprehensive study to identify the thematic structure and the factors affecting citations of JBIM articles.

Major cereal staples such as wheat, white rice and corn have a significant negative impact on the environment, a low nutritional profile and are associated with obesity. In comparison, alternative staples (such as rye, quinoa, buckwheat, etc.) are more environmentally sustainable and nutritious, yet are underused. There has been a recent surge in research into and awareness of alternative staples, but the current understanding of the different drivers of and barriers to their consumption remains fragmented.

The present study attempts to assimilate and incorporate the current knowledge on the drivers of and barriers to the consumption of alternative staples. Eighty-one empirical studies were curated and analysed according to stringent protocols in order to examine the existing research profile and themes arising from prior research in this domain.

The study presents a profile of the extensive existing literature examining the drivers of and barriers to the consumption of alternative staples. The thematic analysis of selected studies resulted in the identification of six drivers and seven barriers. The drivers are an awareness of health; awareness of environmental factors; recommendations; awareness of the brand, labels and source of origin; household structure and demographic attributes. The barriers are difficulty in preparation, lack of familiarity, lack of availability, lack of affordability, culture, product attributes and sensory attributes. The various research gaps and avenues for future research associated with the drivers and barriers identified are also presented.

The key outcomes of the study are the presentation of the research profile, the identification of various drivers and barriers, the recognition of gaps in the research and avenues for future research and, finally, the development of a theoretical framework entitled “Behavioral reasoning towards the consumption of alternative staples (BRCAS)”. The study offers various insights for nutritionists, marketers, policymakers and consumers by increasing awareness of alternative staples.

International Journal of Logistics Management (IJLM) celebrated 30 years of its publication in 2019. This study provides a retrospective overview of the IJLM articles between 1990 and 2019.

The authors applied bibliometrics to study and present a retrospective summary of the publication trends, citations, pattern of authorship, productivity, popularity depicting influence, and the impact of the IJLM, its contributors, their affiliations, and discusses the conceptual layout of IJLM's prolific themes.

With 23 yearly articles, IJLM contributed 689 specialized research papers on Supply Chain Management (SCM) by 2019. Authorship grew by 42 new contributors adding up to 1,256 unique IJLM authors by 2019. Each of its lead contributors associated with 1.55 other authors to contribute an article in the journal among which 93% are cited at least once. Survey-based research dominated in last 30 years. The h-index of the journal is 73 while its g-index suggests that 133 IJLM articles were cited at least 17,689 times in Scopus. IJLM authors affiliated to the Cranfield University and the US contributed the highest count of articles. Bibliographic coupling analysis groups IJLM articles into eight bibliographic clusters while network analysis exposes the thematic layout of IJLM articles.

The literature selection is confined to the Scopus database starting from 1990, a year before the inception of the IJLM, thereby limiting its scope.

This study is the first retrospective bibliometric analysis of the IJLM, which is useful for aspiring contributors.

The cold chain has become an integral part of the supply chain of perishable items. Recent studies have shown a critical absence of a strong and dependable cold chain in developing economies. The purpose of this paper is to set out to identify and inter‐relate the inhibitors that significantly influence the efficiency of a cold chain in developing economies like India.

The synthesis and prioritization of inhibitors are done on the basis of an extensive literature review as well as consultation with academicians and industrial professionals. Using semi‐structured interviews and Fuzzy Interpretive Structure Modeling (FISM) approach, the research presents a hierarchy‐based model.

The end result is a model that establishes the relationships among the identified inhibitors with their respective dominance. The research shows that there exists a group of inhibitors having a high driving power and low dependence with strategic importance and requiring maximum attention and another group includes inhibitors that have high dependence and the consequential actions.

At the time when cold chain is the key domain for the food sector, these findings will be immensely helpful for industry professionals, Government, non‐government, academia and the community in developing strategies and impounding the root causes responsible for the inefficient and weak cold chain in India. The Indian situation echoes to the situation in most of the developing economies and similar solutions can apply there also. These findings will be truly useful for organizations that are planning to operate food chains in developing nations.

Presentation of inhibitors in hierarchy and their classification into driver and dependent categories with their respective dominance on the system is a unique effort in the area of cold chain management. This would help decision makers to better utilize the limited resources.

This paper aims to provide evidence-based managerial advice for identifying, developing and managing a broad-based innovation system for organizations to reap optimal performance outcomes.

The general review is based upon large-scale peer-reviewed academic studies of innovation practices in organizations and their performance outcomes and synthesized here through two illustrative case studies. The first case deals with Brightsquid Secure Communications as they expanded their product-focused innovation practices to include broad-based organizational improvements, while the second case focuses on Trimet Building Products and their use of broad-based innovation to turn around declining revenue.

Using the SME context, this study outlines an innovation management model that highlights the importance of leadership attention on organization-wide innovation and the interdependence of investments across functions.[AQ2] To enhance their performance, SMEs must implement broad learning programs across the organization that provides formal and informal cross-training and takes a cross-functional approach to innovation and problem-solving.

Reviewing and integrating the literature on different innovation types and outcomes, this study proposes a novel broad-based innovation model that guides firms that overemphasize improvements within a single function. Further, drawing on the learning literature, this paper recommends an organizational learning and collaboration model to achieve organization-wide innovation for optimal outcomes.

In the light of the case study and the accompanying case study questions, the incumbent would be able to gain a comprehensive understanding on the theoretical underpinnings of retail store expansion, identify the challenges for expanding a brand into emerging markets such as India and apply various marketing strategies aimed at in-depth analysis retail expansion. Learners can further comprehend the importance of brand communication incorporated by the brand to attract its customer subset.

It was in December 2022, when Mason Chatterjee, the Indian brand head of Armani Exchange (A|X), was confronted with the managerial dilemma whether launching the second store in the city of Ahmedabad would be a right decision. Another issue that was troubling him was how to go about launching a second store in a city which was not a home to other luxury sublabels. The case study illustrates the decisional aspect of retail expansion adopted by Chatterjee, considering the distinct managerial perspectives. Chatterjee found potential in the city of Ahmedabad, owing to an increased number of high-net-worth individuals and other macro factors. The case study is primarily an outcome of research carried out at A|X store at Ahmedabad One mall, Ahmedabad, for over a fortnight in the month of February 2023. The expansion decision of Chatterjee proved to be a success in the city of Ahmedabad reaching a sales figure of INR 1 crore (US$130,344.11) in the very first month of its launch. However, he was confronted with the managerial dilemma of further expansion, just six months after the launch of the latest expansion.

The case study is intended for advanced undergraduates or postgraduate programs in management or electives such as marketing, retail management and strategic management. It has not only been specifically designed for teaching the concept of retail expansion but can also be used to integrate contexts on brand’s merchandise mix, retail positioning, visual merchandising and brand communication. The case study has an overview of each of these elements. The instructor may choose them into the context for a wider encompassing detailed lesson or particularly on the main aspect of the case.

Teaching notes are available for educators only.

CSS8: Marketing

The objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of organized retailing firms in India.

Based on a comprehensive review of literature, the dimensions of DDSCQMP concerning the Indian organized retail sector have been extracted. Considering the research objectives, the research data has been collected using a structured questionnaire from Indian retailers. Overall 133 questionnaires were responded successfully from retailers. The model was tested using structured equation modeling (SEM) through PLS 3.0.

The research findings confirm hypotheses and reveal the statistically significant relationship between DDSCQMP and retailers' performance at an aggregate level. However, the results of the individual-level analysis of DDSCQMP appear to vary from practice to practice. Among various DDSCQMP, “customer focus” with the highest beta (ß) value was found to have the greatest impact on performance followed by “employee relations”.

The study provides empirical justification for a structural model that identifies a positive and significant relationship between DDSCQMP and organizational performance within the context of organized retail sector of India.