Publications

Abstract

We verify the effect of ESG disclosures on firm performance using NSE 500 index listed companies spanning from 2010 to 2020. The study employs a method-of-moments quantile regression approach to test whether ESG disclosures lead to superior firm performance. We find evidence that environmental, social, and governance disclosures positively influence firm performance. Higher quantiles of ESG disclosures are associated with better market performance (Tobin's Q), and the same lead to lower profitability (ROA). The present study suggests that companies aspiring to improve their financial performance may pay more attention to ESG disclosure practices.

Abstract

We verify the effect of ESG disclosures on firm performance using NSE 500 index listed companies spanning from 2010 to 2020. The study employs a method-of-moments quantile regression approach to test whether ESG disclosures lead to superior firm performance. We find evidence that environmental, social, and governance disclosures positively influence firm performance. Higher quantiles of ESG disclosures are associated with better market performance (Tobin's Q), and the same lead to lower profitability (ROA). The present study suggests that companies aspiring to improve their financial performance may pay more attention to ESG disclosure practices.

Abstract

Neuroticism is undoubtedly the most widely recognized aspect of personality resulting in negative consequences. Therefore, drawing upon trait theory and resilience theory, two studies were conducted among frontline employees of quick service restaurants. In Study 1 (N = 558), the mediation hypothesis was tested among quick service restaurant (QSR) employees of metro and mini metros cities of India (Tier I cities). Study 2 (N = 533) replicated and extended Study 1 by examining moderated mediation model using an additional sample from the non-metro cities (Tier II cities). Across both studies, it was found that neuroticism and dysfunctional impulsivity negatively predicted COVID-19 compliance behavior. Study 2 found that psychological resilience reduced the positive effect of neuroticism on dysfunctional impulsivity and the negative effect of neuroticism and COVID-19 compliance behavior. From past studies, it appears that no account is taken to explore the potential role of neuroticism leading to compliance behavior via dysfunctional impulsivity, especially in the hospitality context.

Abstract

Purpose
This systematic literature review aims to explore the adoption, global acceptance and implementation of human resources (HR) analytics (HRA) by reviewing literature on the subject. HRA adoption can assist HR professionals in managing complex procedures and making strategic human resource management (SHRM) decisions more effectively. The study also aims to identify the applications of analytics in various disciplines of management.

Design/methodology/approach
The review is conducted using a domain-based structured literature review (SLR), emphasizing the diffusion of innovative thinking and the adoption process of HRA among early adopters. The philosophical stances are analyzed with the combination of research onion model and PRISMA protocol. Secondary data are gathered from published journals, books, case studies, conference proceedings, web pages and media stories as the primary source of information.

Findings
The study finds that skilled professionals and management assistance can significantly impact adoption intentions, enabling professionals to deal with analytics. The examples and analytical models provided by early adopters allow managers to manage complex processes and make SHRM decisions.

Research limitations/implications
The study suggests that the lack of use of quantitative techniques is a key limitation and should be considered in future studies. Despite the rise in the number of research papers on HRA, its application in the workplace remains limited.

Practical implications
This research can assist managers in implementing HRA and help resolve complex and inefficient processes, making SHRM decisions.

Originality/value
This study adds to the existing body of knowledge on how HRA can aid a company's efficacy and performance and can be considered one of the first to link adoption and HRA.

Abstract

The study is grounded on the premise that the food-leftover sharing practice can simultaneously contribute to resolving the problems of food shortage and food wastage. The primary aim of the study was to identify the factors influencing consumer intentions to share food leftovers. The study was conducted in four stages. First, a comprehensive literature analysis was done to identify the relevant factors and underlying relationships among them. Second, a research instrument was designed, and pretesting was conducted to check the appropriateness of the research instrument with the study context. Third, a pilot study was performed on the 194 respondents to check the dimensionality of the study scales. Four, the final data was collected and analyzed from a sample of 331 (collected through offline and online modes) using structural equation modeling in AMOS 24. The pilot and final study data were collected from New Delhi (An Indian metropolitan city). The study findings suggest that the TPB constructs i.e. subjective norms, attitude, and perceived behavior control influence consumer intentions to share food leftovers. Additionally, religiosity, moral obligation, and environmental concern were observed to be the predictors of attitude toward the practice of food-leftover sharing. This study offers food leftover sharing as a solution to food waste generation and hence, aligned with the sustainable development goals (SDG -12) i.e., responsible consumption and production.

Abstract

Purpose
The purpose of this paper is to analyze the extensive literature on blockchain technology (BT) and human resource management (HRM) in enterprises and set the future scope of research in the adoption of BT in HRM.

Design/methodology/approach
A framework-based review of the literature (Callahan, 2014; Paul and Criado, 2020) is adopted for the present study. The 6 W-Framework developed by Callahan (2014) is used for the development of a conceptual framework on BT and HRM and could address HRM issues through the applications of BT.

Findings
This study focused on the major HR issues, i.e., regulation, staffing and development, and change management. These issues were categorized into sub-categories. The major implementation of BT in HRM is highlighted. The study developed a framework to aid HR professionals in implementing blockchain in the decision-making process of HRM.

Research limitations/implications
The current study is limited to the bias on the part of employers in providing feedback and data feeding. Blockchain being at its infancy stage did not allow much of pieces of literary works to be introduced.

Practical implications
Implementation of ledger technology in managerial functions will reduce the time, money and effort required by potential recruiters and HR professionals. Using this technology, the time and cost required to verify and sort the right potential can be reduced.

Originality/value
The present work offers benefits to HR professionals and practitioners by expediting the process of effective decision-making of HRM employing BT.

Abstract

Hospitals are struggling to maintain a balance between demand and the capacity of resources. It is difficult because demand is highly uncertain and resource capacity is limited. Among hospital resources, physicians are one of the most vital and scarce resources without whom hospitals cannot function. Along with ensuring the availability of physicians, planning on their allocation as per the hospital case mix is expected for quality care. This has motivated us to conduct a study on case-mix-based physician allocation in hospitals. Henceforth, to help hospitals in such challenging decision-making, we propose a two-stage stochastic programming approach in which decisions on regular physician allocation and their capacity adjustments (by overtime, outsourcing, and hiring) in each hospital department are a trade-off between expected cost and patient demand fulfillment. We test the allocations and adjustments with the data of a multispecialty hospital in India, finding solutions to expect a 27.44% cost reduction with patient demand fulfillment when compared with the current allocation of the case study hospital. Results from sensitivity analysis inferred that our proposed model performs well in all sets of variations prevailing in any hospital like patient demand, treatment times, and physician allocation cost parameters. To our best knowledge, this is the first paper that focuses on optimal physician allocation decisions in all the departments of a multispecialty department under uncertain demand and treatment times and the results have also indicated that our proposed model performs well compared to the current allocation model of the hospital. Hence, it is a remarkable contribution towards healthcare service delivery and hospital cost reduction.

Abstract

This research tests a nomological model predicting organic food attitudes and purchase intentions in USA and India. Data were collected from India (n = 687) and USA (n = 632) using Amazon M Turk and were analyzed using structural equation modelling and multi-group moderation technique. Results revealed that over and above attitude, subjective norm and perceived behavioral control, response efficacy and self-expressive benefits significantly affect consumers’ attitudes and purchase intentions of organic food among American and Indian consumers. Findings reveal that response efficacy and attitude matter more in the USA while subjective norms and self-expressive benefits exert a greater influence in India. Therefore, marketers may reinforce belief related elements while selling organic food products in the USA and societal related elements while selling in India. Theoretically, this work adds to the Theory of Planned Behavior by adding self-expressive benefits and develops a common model on organic food across samples in USA and India.

Abstract

Purpose
The main purpose of this research is to investigate the influence of promotional inputs presented to salespeople, such as continuing medical education (CME) sponsorship and drug samples, on adaptive selling and sales performance.

Design/methodology/approach
This study used a mixed-methods approach. First, depth interviews were done and this was followed by a survey on 247 pharmaceutical executives in India. Data analysis was done using AMOS, Process Macro and floodlight analysis.

Findings
Results showed that CME sponsorship and drug samples drove adaptive selling and sales performance positively. Additionally, results reveal that CME program sponsorship negatively moderated the adaptive selling–sales performance relationship; free drug samples too negatively moderated this relationship.

Practical implications
Firms may hire salespersons with high customer orientation and adaptive selling and train them hone these further. The present research also crucially suggests that pharma firms may allocate CME sponsorship and drug samples to salespeople low on adaptive selling.

Originality/value
This could be the first study, to the best of the authors’ knowledge, that uses promotional inputs (such as CME sponsorship and drug samples) as an antecedent to adaptive selling and sales performance. Moreover, this is the only research that has tested CME sponsorships and drug samples as moderators to customer orientation–adaptive selling and adaptive selling–sales performance.

Abstract

This article presents a systematic review of the nostalgia literature (205 articles) using PRISMA protocols. It dwells on three questions: What do we know about nostalgia? What do we need to know about nostalgia? and Where should we be heading? The article examines the evolution of nostalgia, analyzes the definitions of nostalgia (past–memory–yearning–ambivalent emotion), and extends the nostalgia typology of Havlena and Holak (1996). The article also delineates the nostalgic advertising literature; identifies antecedents, moderators, and consequences of nostalgic advertising; and highlights research gaps. Finally, this work offers propositions on nostalgic ad appeals (those that emphasize the attractiveness of and yearning for the past in a bittersweet way) based on four themes: self-restoration, continuity, social relationships, and culture. Specifically, the propositions offer new moderators, such as ads’ emotional flow, gender identity, purchase and consumption situation, perceived interactivity, and culture type, that could make some types of nostalgic appeals more effective than others. Our work contributes by being more comprehensive and broad based, extending the typology framework and delineating propositions that lay out a research roadmap for nostalgic advertising.

Abstract

Purpose
This study examines the role of gender as a moderator on the relationships between subjective norm on attitude and purchase intention and attitude on purchase intention by using the Theory of Reasoned Action (TRA) among organic food consumers.

Methodology
Data is collected using a crowdsourcing platform called Amazon's Mechanical Turk (MTurk). The respondents are organic food consumers (N = 633) from the US. The proposed model is tested using AMOS by covariance-based structural equation modelling and tested for multi-group moderation.

Findings
The model is fit. The results of multi-group moderation show that gender moderates the two relationships: subjective norm on attitude and attitude on purchase intention, but not the third one, i.e., subjective norm and attitude. All the direct hypotheses are supported. This research found that males and females differ in purchasing intention toward organic food.

Originality
This is the first study in the organic food context that tested subjective norm – attitude, attitude – purchase intention, and subjective norm—attitude using the theory of reasoned action.

Abstract

The rapid growth of technology has given rise to a form of communication unknown to the business world i.e. “electronic word of mouth” (e-WOM), which is considered to be an ideal and the most effective way of communicating. However, as e-WOM progresses online, the factors contributing may differ from those of traditional WOM. The current study attempts to analyze the effect of e-WOM on consumer's purchase intention towards private label brands (PLB) offered by the e-tailers in India. A self-executed questionnaire was the tool to survey and extract data from 437 respondents on platforms of social media. The study brings forth a new framework integrating the models- ELM (Elaborative Likelihood Model) and IAM (Information Adoption Model) along with store image to assess the consumer's PLB purchase intention. The data was analyzed with the help of Structural Equation modeling (SEM). The outcome of the research will help the managers, marketers, e-tailers on the significance of e-WOM in making appropriate strategies to attract more and more e-shoppers. Theoretical and practical implications as well as the limitations of the study are further discussed.

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