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Neons Fashion LLP was an entrepreneurial venture of Arthi Ramalingam after completion of her MBA. Arthi had an interest in jewellery since childhood and she decided to focus on design, manufacturing and retailing of fashion and costume jewellery items under the brand name of Eternz through different sales channels like exhibitions, retail stores, own website and as an independent seller on e-commerce marketplaces. She initially started selling on Amazon marketplace through a third party, Cloudtail India Pvt. Ltd., and later sold through other e-commerce marketplace operators like Flipkart, Jabong and FirstCry. As her business grew, Arthi planned to add the kids' shoes category and also decided to participate in Bangalore Fashion Week to build the Eternz brand. However, in November 2016, Cloudtail terminated her contract which played havoc with the sales and profitability of her start-up. Neons Fashion LLP (A) provides details of how independent sellers are at the mercy of marketplace operators and ends with the need to review the choices of sales channels for different categories like fashion garments and fashion accessories, and for the upcoming launch of kids' shoes. Neons Fashion LLP (B) describes the events after the Bangalore Fashion Week that ultimately led to closure of business.

Neons Fashion LLP was an entrepreneurial venture of Arthi Ramalingam after completion of her MBA. Arthi had an interest in jewellery since childhood and she decided to focus on design, manufacturing and retailing of fashion and costume jewellery items under the brand name of Eternz through different sales channels like exhibitions, retail stores, own website and as an independent seller on e-commerce marketplaces. She initially started selling on Amazon marketplace through a third party, Cloudtail India Pvt. Ltd., and later sold through other e-commerce marketplace operators like Flipkart, Jabong and FirstCry. As her business grew, Arthi planned to add the kids' shoes category and also decided to participate in Bangalore Fashion Week to build the Eternz brand. However, in November 2016, Cloudtail terminated her contract which played havoc with the sales and profitability of her start-up. Neons Fashion LLP (A) provides details of how independent sellers are at the mercy of marketplace operators and ends with the need to review the choices of sales channels for different categories like fashion garments and fashion accessories, and for the upcoming launch of kids' shoes. Neons Fashion LLP (B) describes the events after the Bangalore Fashion Week that ultimately led to closure of business.

Mobile payment system (MPSs) apps are accepted as a faster, reliable and feasible substitute to conventional payment systems. However, the reception of MPS has been slower than expected despite their potential and initial reach. Limited studies have investigated factors that determine consumers' brand love (BRL) towards MPSs. This study investigates the role of MPS app characteristics on consumer emotions, continued use intentions (CUI) and BRL towards MPS apps.

The theoretical underpinnings of stimulus organism behaviour consequence (SOBC) and pleasure arousal dominance (PAD) theory are utilized to conceptualize the research model. The model explains the drivers of MPS BRL. Innovativeness, perceived organization and entertainment are the stimuli. Emotion, conceptualized as the second-order construct derived from pleasure, arousal and dominance, is the organism. CUI is the behaviour exhibited, and BRL towards MPS is the consequence. A survey method is used to collect data from 317 MPS consumers, and the hypotheses are tested using a structural equation modelling approach.

Results indicate that innovativeness, perceived organization and entertainment influence consumers' emotions, which affects their CUI. Emotions and CUI shape BRL. Results also show a significant mediating role of emotion and CUI.

Limited studies have explored BRL for utility-driven apps like MPSs. The SOBC frameworks and PAD theory provide stronger explanatory powers to the complex interplay of variables that influence consumer perceptions and decisions regarding MPSs. The study provides several practical and theoretical insights into the role of emotions in the adoption of MPS apps, a hitherto understudied relationship in literature.

This paper examine beneficiary women's awareness of the harmful effects of traditional cooking fuels and the benefits of cleaner cooking fuel (LPG) in the Indian state of Haryana after the inception of Pradhan Mantri Ujjwala Yojana.

Descriptive statistics, factor analysis, confirmatory factor analysis, Mann–Whitney U test and Kruskal–Wallis H test were used for the data analysis.

The paper finds that the women of the scheduled caste were highly aware of the hazards of traditional cooking fuel. They perceived that the usage of LPG led to significant health and environmental improvements. However, the refilling was low among the respondents. So, the only low awareness was not the cause of the low refilling of LPG among Ujjwala beneficiaries.

Technological advancement, accessibility and successful adoption require convergence with socio-economic and institutional aspects. It was evident that focus on technology might not necessarily serve developmental purposes if it is not integrated correctly with socio-economic and institutional factors. These should have conversed with the household's needs, preferences, affordability, social structures, policy support and delivery mechanism, as it was observed that, in different cases, high-end technologies have limited access.

This study shows that the low awareness is not the barrier to the adoption of cleaner cooking technologies in India. So, the policymakers have to revive and further investigate the real cause of the low adoption of cleaner cooking technologies in India.

COVID-19 disrupted the lives of consumers across the globe, and the retail sector has been one of the hardest hits. The impact of COVID-19 on consumers' retail choice behaviour and retailers' responses has been studied in detail through multiple lenses. Now that the effect of COVID-19 is abating, there is a need to consolidate the learnings during the lifecycle of COVID-19 and set the agenda for research post-COVID-19.

Scopus database was searched to cull out academic papers published between March 2020 and June 6, 2022, using keywords; shopping behaviour, retailing, consumer behaviour, and retail channel choice along with COVID-19 (171 journals, 357 articles). Bibliometric analysis followed by selective content analysis was conducted.

COVID-19 was a black swan event that impacted consumers' psychology, leading to reversible and irreversible changes in retail consumer behaviour worldwide. Research on changes in consumer behaviour and consumption patterns has been mapped to the different stages of the COVID-19 lifecycle. Relevant research questions and potential theoretical lenses have been proposed for further studies.

This paper collates, classifies and organizes the extant research in retail from the onset of the COVID-19 pandemic. It identifies three retail consumption themes: short-term, long-term reversible and long-term irreversible changes. Research agenda related to the retailer and consumer behaviour is identified; for each of the three categories, facilitating the extraction of pertinent research questions for post-COVID-19 studies.

The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.

The qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.

The success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.

This research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.

The conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector

The purpose of this paper is to determine the inventory replenishment policies when demand rate is a function of the inventory space allocated to the products on retail shelves. Existing results on inventory policies with inventory-level-dependent demand (ILDD) assume deterministic functional forms of the demand rate. In this paper, the authors model the inventory decisions when demand is a function of shelf-space allocation and random uncertainty. The authors provide managerial insights of this paper's results.

The demand rate is assumed to be a function of shelf-space allocation based on two settings in the literature. First, the authors model the demand rate as a function of initial shelf-space allocation. In the next setting, the authors assume that the demand rate is a function of instantaneous inventory level on shelves. In both the settings, the authors also model random demand uncertainty in addition to the shelf-space dependency of demand rate. The objective is to maximize the expected profit and determine the inventory parameters.

In addition to the demand uncertainty, the authors consider linear, power and exponential functional forms of demand rate. Inventory policy that maximizes expected profit is determined when demand rate is a function of initial allocation and displayed inventory level. The results are implementable for practitioners for optimizing the shelf-space allocation and related inventory policy.

Most of the extant results on inventory policy with shelf-space-dependent demand do not model the demand uncertainty. The authors model a variety of functional forms of demand rate with ILDD in addition to the demand uncertainty. The results are a building block for more applications in inventory management for real-life applications.

The purpose of this paper is to study the role of psychosocial safety climate (PSC) on job satisfaction and emotional exhaustion among employees and to examine the mediating role of effort–reward imbalance (ERI) in this relationship.

This study investigated a mediation model with ERI explaining the relationship between PSC and the outcome variables using a sample of 441 employees of information technology (IT) organizations in India. The data were analyzed using structural equation modeling (SEM) techniques with LISREL (linear structural relations) 8.72 software.

The results suggest that PSC significantly influences the employees' experiences of job satisfaction and emotional exhaustion. Also, ERI was demonstrated as a significant intervening construct with full mediation of the PSC–emotional exhaustion relationship and partial mediation of the PSC–job satisfaction relationship.

The study provides substantial results and arguments to encourage organizational-level commitment for psychosocial risk management through distributive fairness and reciprocity in the form of ERI to foster positive attitudes and prevent negative health and psychological outcomes. The cross-sectional nature of the study limits generalizability but contributes to the literature on work stress in a developing country's context.

The study demonstrates how employee outcomes like job satisfaction and emotional exhaustion often result from their perceptions of inequity and imbalance at the workplace. Further, the study builds a strong case for helping organizations contribute to the United Nations (UN) 2030 sustainability goals by empirically establishing the crucial role of top management's commitment and prioritization of employee psychosocial health and safety for designing primary stress-management initiatives for sustainable psychosocial risk prevention and management.