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Quantitative objective studies on the problem of celebrity selection are lacking. Furthermore, existing research does not recognize the group decision-making nature and the possibility of customer involvement in celebrity or influencer selection for social media marketing. This study conceptualizes celebrity selection as a multi-attribute group decision-making problem while deriving the final ranking of celebrities/influencers using interactive and flexible criteria based on the value tradeoff approach. The article thus proposes and demonstrates a quantitative objective method of celebrity selection for a brand or campaign in an interactive manner incorporating customer's preferences as well.

Each decision-maker's preferences for celebrity selection criteria are objectively captured and converted into an overall group preference using a modified generalized fuzzy evaluation method (MGFEM). The final ranking of celebrities is then derived from an interactive and criteria-based value tradeoff approach using the flexible and interactive tradeoff method.

The approach gives a different ranking of celebrities for two campaigns based on group members' perceived importance of the selection criteria in different scenarios. This group includes decision-makers (DMs) from the brand, marketing communication agency and brand's customers. Further, each group member has an almost equal say in the decision-making based on fuzzy evaluation and an interactive and flexible value tradeoff approach to celebrity selection for receiving a rank order.

The approach uses secondary data on celebrities and hypothetical scenarios. Comparison with other methods is difficult, as no other study proposes a multi-criteria group decision-making approach to celebrity selection especially in a social media context.

This approach can help DMs make more informed, objective and effective decisions on celebrity selection for their brands or campaigns. It recognizes that there are multiple stakeholders, including the end customers, each of whose views is objectively considered in the aspects of group decision-making through a fuzzy evaluation method. Further, this study provides a selection mechanism for a given context of endorsement by objectively and interactively encapsulating stakeholder preferences.

This robust and holistic approach to celebrity selection can help DMs objectively make consensual decisions with partial or complete information. This quantitative approach contributes to the literature on selection mechanisms of influencers, celebrities, social media opinion leaders etc. by providing a methodological aid that encompasses aspects of interactive group decision-making for a given context. Moreover, this method is useful to DMs and stakeholders in understanding and incorporating the effect of nature or context of the brand and the campaign type in the selection of a celebrity or an influencer.

Resilient and sustainable supply chain management is emerging as a focused area of research in the field of supply chain management. This article aims to introduce this edition of Advances in Environmental Accounting and Management and explore opportunities for research related to resilient and sustainable supply chain management. A critical analysis of literature found the need for developing the theory underpinning resilient and sustainable supply chains and the need for rich empirical studies. The six articles included in this edition present a variety of contexts including food supply chain, environmental accounting models, energy sector, human resources, modern slavery, horticultural worker exploitation and sustainable transport in jurisdictions like Australia, European Union, Fiji and India. Overall, this edition contributes to both theoretical and empirical literature on resilient and sustainable supply chain management and presents a repository of research that explores this area using an accounting and environmental management perspective.

The purpose of this paper is to highlight an innovative approach to explore and evaluate the sustainability perspectives in e-commerce channels for additive manufacturing (AM). This approach helps the stakeholders to perform strategic planning dependent on a scenario-based analysis.

The paper structures the problem of understanding the sustainability perspectives of e-commerce channels for AM using value-focused thinking to identify the related fundamental objectives. These objectives assist in creating dynamic scenarios based on fuzzy cognitive maps of different e-commerce channels for AM.

To evaluate the proposed research methodology, four scenarios were developed for each e-commerce channel for AM. The exploration and evaluation of one of these scenarios assisted in explaining the whereabouts of the process to aid in strategizing decision situations and understanding these channels better from the sustainability perspective.

The approach presented in this paper can be used by the practitioners to perform strategic planning for prioritizing sustainability in e-commerce channels for AM; considering the consequences and trade-offs wrt the other factors. Moreover, the scenario-based analysis can be performed depending on the problem requirements of the stakeholder.

The paper addresses the gap of understanding the theoretical aspect of the sustainability perspective in e-commerce channels for AM and the practical aspect of exploring and evaluating them. A scenario-based analysis for each e-commerce channel based on the fundamental objectives of sustainability provides insights for implementation and directions for future research.

The purpose of this paper is to develop an interpretive structural modeling (ISM) model to investigate the critical success factors (CSF) and the extent of CSF's influence in the implementation of lean industry 4.0 in manufacturing supply chain.

The study has been carried out with the help of the latest literature followed by brainstorming sessions with experts. The experts were the managers from the industries, assistant professors, and research scholars from academia working in this domain. Finally, a structured model is formed using ISM methodology for the analysis of the CSFs followed by matrice d'impacts croisés multiplication appliquée á un classment (MIAMAC) Analysis for the validation of the model.

The study identifies robotics, virtual and augmented reality and cloud computing as the main CSFs which are responsible to drive all the identified CSFs. However the CSF professional training and development (PTD) has been identified as the weakest driver but having the highest dependent power.

The study has included nine CSFs and the contextual relationships between the CSFs are based on the knowledge and experience of the experts, which may be biased. Moreover, the paper has covered the ISM approach, and the same thing can be validated using the fuzzy-ISM and other multi-criteria decision-making (MCDM) techniques.

This investigation of the CSFs in the lean industry 4.0 is original and the identified CSFs are the result of the literature reviews and an extensive discussion from the experts. The paper uses the complete experience of the respective experts to make this work more effective and original.

The objective of this paper is to investigate the role of information asymmetry in the equity selling mechanisms chosen by the firms from an important emerging market, India. Specifically, the authors look into the choice between the two most popular mechanisms of equity issues – rights issue and private placement of equity.

This study introduces three analyst specific variables as proxies of information asymmetry as the conventional proxies are fraught with several disadvantages. First, the paper tests the choice between rights issue and private placement using a binary logistic model. In the second approach the authors use rights issue and segregate the private placements into preferential allotments and qualified institutional placements and test the impact of information asymmetry using a multinomial logistic regression.

The outcome of this empirical exercise shows that only those firms facing lesser information problems choose rights issue of equity. Private placements are chosen by firms facing higher information problems to circumvent information costs. The results remain invariant even after segregating the qualified institutional placements from private equity placement as the firms with information disadvantage choose to place equity privately.

In contrast to the conventional studies that focus on the debt-equity framework, the authors argue that the impact of information asymmetry is applicable even at disaggregated levels of equity selling mechanism.

The study aims to develop an in-depth understanding of challenges faced by Indian women professionals during the pandemic and the human resource (HR) initiatives like effective communication, taken by the organizations to mitigate the plight of these professionals.

A mix of two qualitative research methods namely focus groups in-depth and one-to-one in-depth interviews was used. A total of 32 females working with different organizations participated.

The thematic analysis revealed themes related to challenges faced by working women-gendered burnout, mental health issues, increased household responsibilities, job insecurity, work-life conflict, gender inequalities, reduced internal communication and financial independence, domestic violence and exploitation. The major themes that emerged for the organizational initiatives were flexible working hours, equal women representation in response to planning and decision making, driving transformative change for gender equality, paid leaves for family care, caregiving bonus, leadership development seeds, increased female recruitments, transparent communication and counseling sessions.

The study establishes a holistic understanding of the plight of Indian women professionals and the consequent organizational interventions accompanied by transparent communication. It adds rigor to the evolving literature on COVID-19 and enriches the theoretical narrative of policy adaptations by industry practitioners for aligning them with employee needs. This helps in routing the policy design and implementation in light of the challenges faced.

The study presents an in-depth understanding of challenges faced by women employees; and provides a foundation for identifying human resource management (HRM) interventions customized for working females. It also proposes a framework implementable in the recovery phase, deploying critical strategic shifts like reflection, recommitment and re-engagement of the women workforce in order to maximize their efficacy for rapidly evolving organizational priorities.

The purpose of this paper is to determine the key factors influencing the adoption of grocery shopping and to examine the moderating effect of education between antecedents of the adoption of grocery shopping apps and user attitude and intention to purchase.

This study adopted partial least squares structural equation modeling (PLS-SEM) to evaluate the relationship between the latent variables: perceived usefulness, perceived ease of use, attitude and intention to use grocery shopping apps. Partial least squares multigroup analysis (PLS-MGA) was used to examine the moderating effect of education. A total of 305 grocery shopping apps users were surveyed using a structural questionnaire.

The results indicated that all the factors considered in the framework were significant in predicting the intention to use the grocery shopping apps. The findings show that education has no significant impact on any relationship.

A better understanding of the factors that affect the acceptance of mobile grocery shopping apps is important for developing better strategic management plans.

This is one of the first studies to research the adoption of grocery shopping apps in a developing country, as well as the first to focus on consumers in South Africa.

Even though the Indian luxury market is predicted to grow as much as the Chinese one over the coming years, limited research has been conducted on luxury consumer behavior. The purpose of this study is to examine the purchasing behavior for luxury fashion goods using the framework of the theory of planned behavior.

A total of 257 respondents were included after distributing a structured questionnaire by surveying real luxury consumers in Delhi. Data were analyzed using structural equation modeling.

The results of the study indicated that subjective norm was the most important determinant of the purchasing intentions for luxury fashion goods, followed by attitude. Perceived behavioral control was not found to have a significant relationship with purchasing intentions, but it showed a strong positive relationship with actual purchasing behavior.

This study provides new theoretical insights regarding luxury consumer behavior in India. It explains the motivating factors behind purchasing intentions for luxury goods among Indian consumers. The findings of the study will provide great help to global luxury companies in formulating their penetration and expansion strategies in the Indian market.

Group Support Systems (GSS) have been used and studied in the support of facilitated ideation sessions for years. The norm for these sessions has been for participants to work individually at GSS workstations. A review of applicable literature suggests that pairing participants at GSS workstations could result in higher quality ideas and participant satisfaction. This paper reports the results of a lab experiment that tested for differences between paired and unpaired facilitated GSS sessions. These results suggest that pairing participants can yield higher quality ideas from facilitated ideation without negative consequences.