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The purpose of this paper is to explore the relationship between sexualization of the work environment and emotional exhaustion, and develop some key antecedents of sexualization of the work environment. It was conducted in an emerging society, India, which has a high rate of crime against women, particularly related to sexual harassment and sexual assault.

To test the hypotheses, structural equation modeling was performed. The hypotheses were tested with data from 1,098 white collar workers in India in three ways.

Contact with other gender and flexible work arrangements were positively associated with sexualization of the work environment; and sexualization of the work environment was positively associated with emotional exhaustion. In addition, sexualization of the work environment mediated the relationship between the two antecedent variables and emotional exhaustion.

There is a possible bias arising from the use of cross-sectional data. However, a number of methods were implemented to minimize it, including survey design and data analysis.

The study offers some important suggestions for workplaces with a greater proportion of young male employees, particularly in a societal context like India.

The paper provides evidence of the negative impact of sexualization of the work environment, and thereby contributes to current understanding of the “dark side” of behavior at work that might have significant impact on society.

The disruption caused by COVID-19 exhorts to reiterate the role of operations and supply chain management (OSCM) in achieving social sustainability. Therefore, the present study aims to develop a conceptual understanding of the OSCM ecosystem's role in enabling the world to accelerate towards social sustainability.

The study uses the integrative review method to achieve the stated objectives. The study first identifies the societal disruptions caused by COVID-19. Then based on dynamic capabilities (DC) theory, stakeholder theory and real-life examples, the study puts forward the stakeholder dynamic capabilities (SDC) view as an approach to overcome these social challenges.

Taking the SDC view, the study identified ten social challenges aggravated by the COVID-19. Response actions for OSCM have been proposed to mitigate these challenges.

The pandemic has brought new challenges to the OSCM to achieve social sustainability. Therefore, the study's proposed response actions aim to assist OSCM managers in leveraging their expertise to do good for society and create a better world. Moreover, the study also provides avenues for future research on the topic.

Based on the SDC view, the study attempts to conceptualise social sustainability for OSCM during a pandemic. The SDC view helps capture internal and external social challenges emerging due to COVID-19 and utilise firms' capabilities to overcome these challenges.

The learning outcomes of this case study are to understand the business model canvas and value propositions and apply advanced business innovation tools in electric vehicle business models; evaluate the current cargo vehicle scenarios at national and global levels and draw out the possibilities and costs for a new player; extrapolate the future scenario of the cargo economy, its electrification and positioning in a business-to-business (B2B) and business-to-customer (B2C) segment, especially for a developing economy; and improve the student’s ability to get organisational buy-in and execute new business models.

LoadExx is a fully electrified electric cargo service focusing on logistics in Kolkata, a metropolitan city in the eastern part of the country. The service of LoadExx commenced in January 2021 in the B2B segment after overcoming its then issues of driver hesitancy and customer anxiety and financial issues to adopt electrified cargo systems. The conundrum faced by LoadExx in its commencement thus had been solved under the able guidance of its owner Amit Arora. The case study was positioned four months after the commencement of LoadExx. To gain market power and traction, Arora and his team came up with the idea of market expansion. However, the current conundrum was whether LoadExx would enter the B2C segment in its current location or expand with the same business model to other parts of the country. The expansion was to be implemented in the immediate future to retain its rarity and reduce the imitability of the business model of LoadExx. This case study details the logistics and market operations of the cargo sector, especially electric cargo, in a developing economy, especially India. A teaching note supplementing the “Cracking the conundrum of e-cargo logistics: curious case of LoadExx” case study has been provided.

This case study is designed for undergraduate and postgraduate students and senior management professionals in executive education programmes undertaking courses in logistics management and supply chain operations and related cargo logistics courses. This case study denotes integrating key processes from end-users and gaining the trust of drivers, thereby showing the perspective of the plight and conundrums of a cargo aggregator working in the B2C segment. This case study could be used to discuss concepts related to not-for-profit firms, aggregators, policymakers and think tanks.

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

The subject areas are family-owned business, entrepreneurship and strategic management.

The target audiences for the case study are BBA and MBA students and management trainees who are interested in learning about family-owned business and the problems faced by them when generations change. This case can be used to teach concepts in family-owned business and strategic management courses in the context of emerging markets. The case also introduces the problems faced by a traditionally operating organization which has to change to survive in the market. The case can be used to teach senior management teams participating in executive education programs on how problems arise in family-owned business. To successfully work with this case study, students need to have the basic theoretical understanding of family-owned business.

Sree Subramania Ayurvedic Nursing home (SSANH), one of the most reputed Ayurvedic treatment centers in Kozhikode, Kerala in India, was converted into its present form in 1974 from Thekkayil Vaidyasala by Thekkayil Rajaratnam Vydiar. The latest addition to this family run nursing home is Dr Sananad Ratnam, who in continuity of his family tradition studied Ayurveda. Dr Sanand wanted to rethink the positioning of the 400-year-old family business system with an objective to increase the number of people served by SSANH. He is armed with ambitious plans to expand SSANH and increase the volume of patients served. Dr Sanand’s father, the second partner of SSANH, was not quite supportive of this idea. His father felt that the increase in scale without compromise in quality was impossible in Ayurveda. Dr Sanand felt handicapped with problems such as lack of marketing strategies, lack of standard managerial procedures, lack of innovation in processes and, more importantly, conflicting ideologies between father and son in the family-owned business. To address these problems, Dr Sanand has recently hired the services of a consulting firm. This case highlights how SSANH, in spite of being in an advantageous position, is unable to exploit its full potential. Further explaining the different ways in which different generations perceive business, this case invites the attention to the dilemma: Should the business proceed with its expansion plan? If it decides to expand, how it should convince the previous generation of the family that the expansion plan accommodates their concerns.

After completion of this case, students would be able to: gain a perspective on the problems faced by a family-owned business which has successfully survived for decades; understand how a family-owned business functions differently from other business models; evaluate different ways in which the organization can look to solve the dilemma by considering the different stakeholders in question; and apply the result of the literature on family-owned businesses to understand the dynamics of business of this specific setting, i.e. one that has a rich heritage, is in an emerging economy and is a family-owned business.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 3: Entrepreneurship.

This study aims to analyse the variations of thermal comfort inside a building space by using different curtains.

Phase change materials (PCMs) such as wax, sand and mixture of sand and wax were used with cotton curtain to compare the results of PCM curtains with the performance of normal cotton curtain against constant heat exposure. Heat exposure was provided with halogen to simulate the solar radiation. Further simulation was performed on ANSYS and experimental results were compared with the simulation results. In addition to this, the results were analysed for optimized performance by calculation root mean square error.

It was found that PCM used curtains that have better performance than normal curtain. Furthermore, sand curtain was proved as the best curtain and mixture of sand and wax curtain could replace the sand curtain where there is limitation of weight; also, there was less error between experimental and simulation was reported for sand curtain as compare to other curtains.

Layers of different PCMs were used before cotton curtain and in modelling assumptions such as one-dimensional heat transfer, uniform thermal conductivity.

To the best of the authors’ knowledge, there is no such study that was performed earlier.

This paper aims to identify the current research trends in sustainability through an extensive literature review and propose future research agenda under the ambit of the ongoing coronavirus disease 2019 (COVID-19) pandemic. Specifically, the present study aims to uncover the current state of the literature and thereby develop an understanding of how the pandemic has impacted the dimensions of sustainability.

To achieve the objective, the authors adopted a five-step literature review process, combined with bibliometric and network analysis. The authors also considered news articles and reports of international organizations to comprehensively achieve the research objective.

The study results show how the pandemic has impacted the social, economic and environmental dimensions of sustainability. The results also highlight the list of authors, countries and institutions that have proactively worked towards eliminating the disruption caused by the COVID-19 pandemic.

The study provides an in-depth understanding of the scholarly contributions to the field of sustainability since the COVID-19 outbreak. The study is useful for policymakers and businesses interested in understanding how the pandemic has impacted the dimensions of sustainability and possible mitigation strategies. Furthermore, the study also provides future research directions in the intersection of pandemic and sustainability dimensions. Specific research questions (RQs) are also proposed to help future research.

To the best of the authors' knowledge, this study is a pioneer attempt to provide a comprehensive understanding of the existing and rapidly growing literature on COVID-19 and its relationship with the various dimensions of sustainability.

Recently, disruptive technologies (DTs) have proposed several innovative applications in managing logistics and promise to transform the entire logistics sector drastically. Often, this transformation is not successful due to the existence of adoption barriers to DTs. This study aims to identify the significant barriers that impede the successful adoption of DTs in the logistics sector and examine the interrelationships amongst them.

Initially, 12 critical barriers were identified through an extensive literature review on disruptive logistics management, and the barriers were screened to ten relevant barriers with the help of Fuzzy Delphi Method (FDM). Further, an Interpretive Structural Modelling (ISM) approach was built with the inputs from logistics experts working in the various departments of warehouses, inventory control, transportation, freight management and customer service management. ISM approach was then used to generate and examine the interrelationships amongst the critical barriers. Matrics d’Impacts Croises-Multiplication Applique a Classement (MICMAC) analysed the barriers based on the barriers' driving and dependence power.

Results from the ISM-based technique reveal that the lack of top management support (B6) was a critical barrier that can influence the adoption of DTs. Other significant barriers, such as legal and regulatory frameworks (B1), infrastructure (B3) and resistance to change (B2), were identified as the driving barriers, and industries need to pay more attention to them for the successful adoption of DTs in logistics. The MICMAC analysis shows that the legal and regulatory framework and lack of top management support have the highest driving powers. In contrast, lack of trust, reliability and privacy/security emerge as barriers with high dependence powers.

The authors' study has several implications in the light of DT substitution. First, this study successfully analyses the seven DTs using Adner and Kapoor's framework (2016a, b) and the Theory of Disruptive Innovation (Christensen, 1997; Christensen et al., 2011) based on the two parameters as follows: emergence challenge of new technology and extension opportunity of old technology. Second, this study categorises these seven DTs into four quadrants from the framework. Third, this study proposes the recommended paths that DTs might want to follow to be adopted quickly.

The authors' study has several managerial implications in light of the adoption of DTs. First, the authors' study identified no autonomous barriers to adopting DTs. Second, other barriers belonging to any lower level of the ISM model can influence the dependent barriers. Third, the linkage barriers are unstable, and any preventive action involving linkage barriers would subsequently affect linkage barriers and other barriers. Fourth, the independent barriers have high influencing powers over other barriers.

The contributions of this study are four-fold. First, the study identifies the different DTs in the logistics sector. Second, the study applies the theory of disruptive innovations and the ecosystems framework to rationalise the choice of these seven DTs. Third, the study identifies and critically assesses the barriers to the successful adoption of these DTs through a strategic evaluation procedure with the help of a framework built with inputs from logistics experts. Fourth, the study recognises DTs adoption barriers in logistics management and provides a foundation for future research to eliminate those barriers.

This study analyzes supplier development investment decisions under a triadic setting (two buyers and a common supplier). In a triadic setting, the supplier development investment decision of one buyer can have a spillover effect of the benefits on other buyer. Therefore, it is utmost important for the investing buyer to understand the impact of benefit spillover on other competing buyers'. Therefore, one of the purposes of this study to analyze the supplier development investment decision of buyers under two scenarios. First, under cooperative development structure where both buyers jointly invest in supplier and share equal benefits. Second, non-cooperative investment structure where both buyers individually invest in supplier development and share unequal benefits.

In order to assess the impact of supplier development investment decisions on the profitability of buyers and the common supplier, the authors used game-theoretic approach. The authors design a Stackelberg leader-follower game where the supplier acts as Stackelberg leader and buyers follow the supplier's pricing decision to maximize their profit level. Additionally, both buyers decide either to cooperate or non-cooperate while investing in supplier development.

The results show that the cooperative investment is always an optimal strategy for buyers and supplier. Interestingly, the efficient buyer's share of investment level is lower under non-cooperative investment structure and he is better-off due to its capability of taking advantage from the other buyer's investment. However, the inefficient buyer, on the other hand, is worse-off under non-cooperative investment. Furthermore, comparative analysis between the two shows that initially, the buyer who extracts more profit because of the other buyers' development investment tends to prefer the non-cooperative development investment set up. However, after a certain point, the same buyer is better-off under cooperative development investment through cooperation, and sharing equal benefit of the supplier's development, as the supplier in turn, starts charging a higher wholesale price under non-cooperative investment case.

To the best of authors’ knowledge, extant literature on supplier development has mostly focused on. One supplier-one buyer; thus, the learning spillover effect has almost been unexplored. In real-life, different buyers often purchase from the shared supplier. Therefore, it is important to analyze the spillover of supplier development benefits due to investment of one buyer on other buyer and deriving the condition under which buyers would be incentivized to invest jointly or individually.

The purpose of this paper is to investigate the role of the “Big Five” personality traits (extraversion, openness, agreeableness, conscientiousness and neuroticism) on the adoption of augmented reality (AR), with a particular focus on the role AR may play in interactive marketing.

A quantitative-based approach was followed by a questionnaire survey, which was completed by 230 respondents comprising graduate and postgraduate students, using structural equation modelling.

While the trait of openness was positively associated with the perceived ease of use of AR, the usefulness of AR and subjective norms, the trait of neuroticism was negatively associated with the perceived ease of use of AR. Extraversion was positively associated with subjective norms. Perceived ease of use of AR, the usefulness of AR and subjective norms were positively associated with attitudes toward AR.

The data gathered will add a valuable contribution to the currently limited data available on empirical consumer behaviour research, particularly in relation to the adoption of AR for interactive marketing.

The findings of this study will benefit academics working on the adoption of technology in rapidly developing fields such as automation and artificial intelligence; the study also contributes to the emerging interdisciplinary domain of psychology, information systems, marketing and human behaviour.

The rise of social media has led to the emergence of influencers and influencer marketing (IM) domains, which have become important areas of academic inquiry. However, despite its prominence as an area for study, several significant challenges must be addressed. One significant challenge involves identifying, assessing and recommending social media influencers (SMIs). This study proposes a semantic network model capable of measuring an influencer's performance on specific topics or subjects to address this issue. This study can assist managers in identifying suitable SMIs based on their estimated reach.

Data from popular YouTube influencers and publicly available performance measures (views and likes) are extracted. Second, the titles of the past videos made by the influencer are used to develop a semantic network connecting all the videos to other videos based on similarity measures. Third, the nearest neighbor approach extracts the neighbors of the target title video. Finally, based on the set of neighbors, a range prediction is made for the views and likes of the target video with the influencer.

The results show that the model can predict an accurate range of views and likes based on the suggested video titles and the content creator, with 69–78% accuracy across different influencers on YouTube.

The current study introduces a novel and innovative approach that exploits the textual association between a SMI's previous content to forecast the outcome of their future content. Although the findings are encouraging, this research recognizes various constraints that upcoming researchers may tackle. Forecasting views of posts concerning novel subjects and precisely adjusting video view counts based on their age constitute two primary limitations of this study.

Managers interested in hiring influencers can employ the suggested approach to evaluate an influencer's potential performance on a specific topic. This research aids managers in making informed decisions regarding influencer selection, utilizing data-based metrics that are simple to comprehend and explain.

The study contributes to outreach evaluation and better estimating the impact of SMIs using a novel semantic network approach.