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Historically, global events have always provided a setback to the existing mechanism of any business operation. The magnitude of such variation may be different from industry to industry but sustainable outlook afterwards any global crisis calls for a re-look into strategies. Similar experience persisted when sudden drop of brick-and-mortar stores during corona crisis came into picture. Post corona, the entire working style of supply chain companies revisited a virtual set-up. The delivery partners like Dunzo, Blinkit, Zypp, Delhivery, Ecomexpress have transformed the way logistics used to work before COVID-19. On the other hand, recent Russia–Ukraine war has posed further global challenges like that of food shortage, supply challenges, global inflation, recessionary trends worldwide. An investor earlier confident of exponential wealth creation in supply chain companies may have to rethink about resilient strategies while creating a portfolio with companies from supply chain industry. In the present study, a comparative analysis has been made by use of exponential Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) model to explore the impact of both these crisis on returns from supply chain companies. The output of this chapter shall be beneficial for investors, asset management companies, investment brokers and other portfolio managers.

COVID-19 pandemic interrupted global supply chains (SCs) affecting both developed and developing countries. In context of the COVID-19 pandemic, numerous studies were conducted on sustainable supply chain (SSC) in emerging markets (EMs). However, the contributions of these studies require to be systematically reviewed to provide a platform of knowledge. The purpose of this review is to systematically explore the relevant literature on SSC management during the COVID-19 pandemic in EMs.

The authors applied Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework to perform a systematic literature review. Scopus database was used to extract the relevant literature, and 51 journal articles along with 5 conference proceedings were included in the study.

This study identified the major contents along with four different themes, which are the impacts of COVID-19 on the SC, recovery strategies to alleviate the adverse impacts of COVID-19, sustainable practices to improve SC performance and resilience activities to assure firms' survivability. Furthermore, the research reveals that interview/survey/case study–based research and review articles focusing on various industries have dominated the field of SSC management in the context of EMs.

This research enriches the literature by providing an overall scenario of SSC during the COVID-19 pandemic in the context of emerging economies.

Food waste among young consumers is a significant concern that threatens food sustainability due to consumption behaviour. This study has integrated the Theory of Interpersonal Behaviour to extend the Theory of Planned Behaviour to measure young consumer’s intention to reduce food waste in a developing country context. Bringing in emotion, habits, and facilitating conditions to predict the consumers' attitudes, this study assesses the intention to reduce food waste for corporate sustainability from the perspective of consumption.

Using a quantitative approach and purposive sampling, 205 samples were collected from the young generation aged 18 to 30, who frequently have meals at home. The PLS-SEM technique was employed to examine the hypothesised model.

The findings supported all the hypotheses mentioned where attitudes, subjective norms (SN) and perceived behavioural control (PBC) affect the intention to reduce food waste among young consumers. Furthermore, the other variables, namely, habits, emotions and facilitating conditions, also significantly impact the attitudes of the young generation.

Understanding young consumers' food waste behaviour is vital from the social, economic, and environmental perspectives. This study showcases a comprehensive food waste behaviour model among young consumers by integrating the Theory of Interpersonal Behaviour and the Theory of Planned Behaviour to examine the intention to minimise food waste. Practically, this study offers insights to business practitioners and communities in managing food waste from the young consumer perspective. Socially, this study supports the United Nations' (UN) Sustainable Development Goals (SDG) 12 by contributing to global food waste reduction efforts.

This study aims to extend the Theory of Planned Behavior (TPB) with the Norm Activation Theory (NAT) and apply these two theories to explain Gen Z’s intention to reduce household food leftovers.

Primary data were collected online from 386 respondents, selected through a convenience sampling technique from June to August 2023. Established indicators measured each construct adequately, and hypotheses were examined by using a structural equation model with robust maximum likelihood estimation.

Attitude toward behavior, perceived behavioral control and personal norms built by awareness of consequences and ascription of responsibility were proven to be able to form the intention to reduce household food leftovers. Extending the TPB with the NAT revealed that intention was built based on attitudinal belief, control belief and a feeling of moral obligation that activates personal norms.

Respondent validity needs to be strengthened; injunctive and descriptive norms are still integrated, and the translation of intention into action is yet to be examined

Social marketers boosted behavior change campaigns among Zoomers by emphasizing moral responsibility, promoting awareness and favorable behavioral beliefs through tailored messages and highlighting the ease of reducing household food leftovers.

This study bridged existing research gaps by extending the TPB with the NAT in the context of household routine consumption practices. It offered valuable insights for promoting responsible consumption and reducing household food leftovers among the youth.

This study aims to explore Augmented Language Models (ALMs) for synthetic data generation in services marketing and research. It evaluates ALMs' potential in mirroring human responses and behaviors in service scenarios through comparative analysis with five empirical studies.

The study uses ALM-based agents to conduct a comparative analysis, leveraging SurveyLM (Bickley et al., 2023) to generate synthetic responses to the scenario-based experiment in Söderlund and Oikarinen (2018) and four more recent studies from the Journal of Services Marketing. The main focus was to assess the alignment of ALM responses with original study manipulations and hypotheses.

Overall, our comparative analysis reveals both strengths and limitations of using synthetic agents to mimic human-based participants in services research. Specifically, the model struggled with scenarios requiring high levels of visual context, such as those involving images or physical settings, as in the Dootson et al. (2023) and Srivastava et al. (2022) studies. Conversely, studies like Tariq et al. (2023) showed better alignment, highlighting the model's effectiveness in more textually driven scenarios.

To the best of the authors’ knowledge, this research is among the first to systematically use ALMs in services marketing, providing new methods and insights for using synthetic data in service research. It underscores the challenges and potential of interpreting ALM versus human responses, marking a significant step in exploring AI capabilities in empirical research.

Unacceptable behaviour in retailing – negative customer deviance (NCD) is rising, damaging retailers financially. Current research investigates forms of NCD by addressing its impact on employees but overlooks its effects on bystander-customers and their retail channel preferences. As channel switching within retailing is increasing unprecedentedly, this research investigates its correspondence with NCD encounters.

This research uses structural equation modelling, based on data collection administered through a web-based survey of 1,008 customers of at least 16 years of age, to analyse the research model.

The findings reveal unexplored forms of NCD perceived by bystander-customers in retailing and their consequences, linking it to bystander-customers' ill-being, dissatisfaction with the shopping experience, a decrease in store commitment and an increase in their retail channel-switching intentions. Additionally, the research uncovers moderating variables.

This research tests NCD dimensions and effects on bystander-customers, which indicate the need for retailers to address shopping values, attitudes and commitment through corrective, proactive and long-term strategic actions.

As one of the first studies to investigate the impact of NCD on bystander-customers' intentions to switch from store-based to online shopping, strategies for retailers are developed to help diminish and control NCD-induced threats to bystander-customers.

The purpose of this study is to explore the social norms influencing consumer participation in consumption tax evasion (CTE) by examining both passive and active roles from a social marketing perspective. The study aims to identify the factors that prompt consumers to engage in or abstain from CTE, with a particular focus on the interplay of descriptive and injunctive norms and perceived consumer effectiveness (PCE).

The study utilizes a scenario-based experimental design involving 306 respondents in India, stratified by demographics and tax compliance attitudes. We used the PROCESS Macro to analyze the data using established scales for measuring descriptive and injunctive norms and PCE.

The results indicate that descriptive norms significantly increase the intention to engage in CTE, while injunctive norms weaken this relationship. PCE strengthens the moderating effect of injunctive norms. These findings highlight the mechanisms driving passive participation in CTE.

This study underscores the importance of societal norms and individual efficacy beliefs in shaping ethical behaviors such as tax compliance. By understanding these factors, governments can better design social marketing campaigns and public policies that foster a more compliant and ethically aware society.

The originality of this research lies in its examination of both passive and active consumer participation in CTE, a relatively understudied area within tax compliance literature. It extends the discourse on social norms and tax evasion by incorporating the nuanced roles of descriptive and injunctive norms and offers valuable insights for academicians, tax authorities and policymakers interested in behavioral interventions.

Globally, the landscape of corporate carbon disclosures (CCD) is continually evolving as societal, environmental and regulatory expectations change over time. The goal of this study is to examine the challenges faced by Indian firms’ corporate carbon reporting (CCR). The literature recognized the hurdles to reaching net zero emissions and decarbonization, which are equally applicable to carbon disclosure (CD).

The scope 3 emission disclosure barriers (S3EDBs) identified from the literature were ranked, and their relationships were discovered using the “Grey-based decision-making trial and evaluation laboratory” (Grey- DEMATEL) technique.

The key findings are the S3EDBs, the most prominent barriers, their interrelationships and important insights for managers of organizations in prioritizing the action area for scope 3 CD. Eight S3EDBs were categorized in terms of cause and effect, threshold value is calculated as 0.78. “Quality, and reliability of data,” “Government policies and statutory requirement on emission disclosure” and “Traceability and managing supply chain partners” are the most prominent S3EDBs.

The results will help industry people in countries with emerging economies that have significant scope 3 carbon footprints. The managers can plan to deal with top S3EDBs as a step towards decarbonization and ultimately fighting climate change (CC).

This study is one of the first to rank these barriers to CD so that industry practitioners can prioritize their actions. The core contribution of this research is to detect the most significant S3EDBs and their interdependencies.

This paper aims to explore the factors influencing customers' attitudes and behaviours, specifically in terms of affective satisfaction, participation behaviour, and word-of-mouth, within the restaurant industry, with a focus on both tangible and intangible elements. Additionally, the study seeks to identify the dual mediating role of customer affective satisfaction in this relationship.

In this exploratory study, SEM-VB was utilized to examine data from 312 valid respondents who completed a face-to-face questionnaire using a quantitative methodology. The respondents were targeted at restaurants that serve comparable food and beverages for a similar socioeconomic class.

The findings reveal that perceived value, physical appearance, and standardization significantly contribute to customer affective satisfaction, which, in turn, positively influences their participation behaviour and word-of-mouth.

Practically, restaurant managers can enhance customer experiences and boost positive word-of-mouth by fostering affective satisfaction and encouraging interactive customer participation.

The novel concept of “affective satisfaction” contributes to restaurant management literature by identifying its tangible and intangible drivers and uncovering its outcomes in participation behaviour and word of mouth. By combining numerous factors and investigating the mediating function of affective satisfaction and based on the theory of Expectancy-Disconfirmation, this study adds to the theoretical understanding of what drives the affective satisfaction and word-of-mouth of casual dining restaurants’ customers.

The chapter constitutes a conceptual paper aimed at furnishing a roadmap for the implementation of a coopetition strategy within tourism destinations. This endeavour was prompted by numerous inquiries from industry practitioners seeking guidance on integrating coopetition into their operations. The roadmap delineates six sequential steps for establishing a robust coopetition network, complemented by a toolkit designed to oversee the implementation process and its ensuing outcomes. Key components of this toolkit include the Coopetition Value Proposition, Coopetition Players Mapping and the Coopetition Toolbox, each serving as indispensable resources for navigating the intricacies of coopetition strategy in the tourism sector. In amalgamating theoretical insights with practical applications, our approach not only deepens comprehension of coopetition within the context of strategic management but also equips stakeholders with the requisite tools to harness coopetition's potential for generating social, economic and environmental value. Furthermore, our methodology transcends the boundaries of the tourism industry, offering a versatile framework adaptable to diverse sectors. Through this concerted effort, we endeavour to facilitate the transition of tourism destinations towards the coopetitiveness paradigm, wherein collaboration and competition intertwine to propel sustainable growth and innovation. Ultimately, our chapter serves as a guiding beacon for tourism stakeholders, offering a structured pathway towards embracing coopetition as a cornerstone of strategic management, thus fostering prosperity and resilience amidst evolving market dynamics.