Search results

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.

The present study aims to examine the households’ attitudes and intentions to adopt an indoor air purifier against the smog crisis in India by using a comprehensive theoretical framework based on the combination of the Protective Action Decision Model (PADM) and the Theory of Planned Behavior (TPB). The United Nations Sustainable Development Goals (SDGs) 2030 also emphasized ensuring a healthy and safe life, especially by achieving SDG-3, SDG-11 and SDG-13.

Using purposive sampling, the data were collected through a survey questionnaire distributed to 382 households, and study hypotheses were assessed by using partial least squares structural equation modeling employing SmartPLS.

The results revealed that mental health risk perception (MHRP) was the most influential determinant of households’ attitudes toward adopting air purifiers, followed by smog knowledge, physical health risk perception (PHRP), information seeking and product knowledge. Notably, results revealed that households’ attitude is a leading determinant of their adoption intention toward the air purifier compared to subjective norms (SN) and perceived behavioral control (PBC).

To the best of the authors’ knowledge, the present study is the first to provide new insights into an individual’s protective behavior response toward ecological hazards by examining the households’ adoption intention toward the air purifier against the smog crisis using PADM and TPB model inclusively. In addition, the present study analyzes the impact of both PHRP and MHRP on individuals’ protective behavior separately. Also, this study provides theoretical contributions and important practical implications for the government, manufacturers and air purifier sellers.

This study aims to examine the impact of institutional investors and their classes on the stock return volatility of an emerging market. The paper also determines the moderating role of firm size, crisis and turnover on such relationships.

The study covers nonfinancial companies of the Bombay Stock Exchange-100 index that are listed during the study period. The study uses fixed effects and systematic generalized method of moments estimators to look over the association between institutional investors and firms’ stock return volatility.

The study provides evidence that institutional investors destabilize the Indian stock market. It indicates that institutional investors do not engage in management activities; they earn short-term gains depending on information efficiency. Pressure-insensitive institutional investors have a significant positive relation with stock return volatility, while pressure-sensitive institutional investors do not. The study also reflects that pressure-sensitive institutional investors are underweighted in India, which jointly represents an insignificant nonlinear association between institutional ownership and stocks’ volatility. Furthermore, outcomes reveal that the intersection effect of the crisis, firm size and turnover is positively and significantly related to such relationships.

The outcomes encourage initiatives that keep track of institutional investors in the Indian stock market. To control the destabilizing effect of pressure-insensitive institutional investors, regulators should follow strict regulations on their trading patterns. Moreover, it guides the potential researchers that they should also take into account the impact of other classes of ownership structure or what type of ownership can help in stabilizing or destabilizing the Indian stock market.

Abundant literature studies the relationship between institutional ownership and firm performance in the Indian context. From the standpoint of making management decisions, the return and volatility of stock returns are both different aspects. However, this study examines the effect of institutional ownership and its groups on the volatility of stock return using the panel data estimator, which was previously not discussed in the literature.

Revenge travel has become a prominent touristic behaviour on a global scale. The study delves into the phenomenon of ‘revenge tourism’ and its far-reaching implications, emphasising the boomerang effects it triggers. This study proposes conceptual framework that examines the boomerang effects of revenge tourism (economic, environmental and social) and explores their relationship with the SDG8 (Decent work and economic growth), SDG12 (Responsible consumption and production) and SDG14 (Life below water). The study finds that the boomerang effects of revenge tourism positively impact all three Sustainable Development Goals (SDGs). It establishes a positive relationship between ‘tourism demand’ (RT1) and its ‘economic impact’ (BE1), along with a positive connection between ‘travel behaviour’ (RT3) and both its ‘environmental impact’ (BE2) and ‘social impact’ (BE3). Additionally, a positive effect of ‘destination image’ (RT2) on ‘travel behaviours’ (RT3) is observed. This underscores the tourism industry's inherent capacity to navigate and mitigate economic repercussions arising from the COVID-19 pandemic. The study concludes by emphasising that while COVID-19 is temporary, sustainability implies permanence through optimal resource utilization and maximising benefits for conservation and local communities. Practical implications are discussed as final thoughts, providing actionable insights for the tourism industry.

The presence of green spaces plays a vital role in promoting urban sustainability. Urban green parks (UGPs) help create sustainable cities while providing fundamental ecological functions. However, rapid urbanization has destroyed crucial green areas in Ranchi City, endangering inhabitants’ health. This study aims to locate current UGPs and predict future UGP sites in Ranchi City, Jharkhand.

It uses geographic information system (GIS) and analytical hierarchical process (AHP) to evaluate potential UGP sites. It involves the active participation of urban communities to ensure that the UGPs are designed to meet dweller’s needs. The site suitability assessment is based on several parameters, including the normalized difference vegetation index (NDVI), land use and land cover (LULC), population distribution, PM 2.5 levels and the Urban Heat Island (UHI) effect. The integration of these factors enables an evaluation of potential UGP’s sites.

The findings of this research reveal that 54.39% of the evaluated areas are unsuitable, 15.55% are less suitable, 12.76% are moderately suitable, 11.52% are highly suitable and 5.78% are very highly suitable for UGPs site selection. These results emphasize that the middle and outer regions of Ranchi City are the most favorable locations for establishing UGPs. The NDVI is the most important element in UGP site appropriateness, followed by LULC, population distribution, PM 2.5 levels and the UHI effect.

This study improves the process of integrating AHP and GIS, and UGPs site selection maps help urban planners and decision-makers make better choices for Ranchi City’s sustainability and greenness.

The current work aims to understand the consumers’ adoption of electric vehicles (two-wheelers) from their value perspective by utilizing the value-based adoption model.

The study considered data from 302 potential electric two-wheeler customers and tested the hypotheses using structural equation modeling.

The outcomes showed that perceived economic benefits, social image, enjoyable acceleration and enhanced fun and perceived environment (positively) and perceived physical safety risk, perceived cost of ownership and range and charging risk (negatively) influenced the customers’ perceived value linked with electric two-wheeler (ETW) adoption. Only low engine noise emission and infrastructure issues did not affect perceived value.

Most of the respondents considered in the study were less than 35 years old. Hence, the model can be tested for other age groups.

The study’s outcomes will help ETW marketers, manufacturing companies and governments (state and central) to provide a more convenient environment for electric two-wheelers' adoption and help them curate appropriate strategies.

The current work offers a better understanding of potential customers' ETW adoption by employing a value-based trade-off.

This paper presents a conceptual framework based on an extensive literature review. The aim of this study is to deepen understanding of the relationship between carbon performance and the financial market by applying qualitative research approaches.

The investigation has identified 372 articles sourced from Scopus databases, subjecting the bibliographic data to a comprehensive qualitative–quantitative analysis. The research uses established protocols for a structured literature review, adhering to PRISMA guidelines, machine learning-based structural topic modelling using Python and bibliometric citation analysis.

The results identified the leading academic authors, institutions and countries concerning carbon performance and financial markets literature. Quantitative studies dominate this research theme. The study has identified six knowledge clusters using topic modelling related to environmental reporting; price drivers of carbon markets; environmental policy and capital markets; financial development and carbon emissions; carbon risk and financial markets; and environmental performance and firm value. The results of the study also present the opportunities associated with carbon performance and the financial market and propose future research agendas on research through theory, characteristics, context and methodology.

The results of the study offer insights to practitioners, researchers and academicians regarding scientific development, intricate relationships and the complexities involved in the intersection of carbon performance and financial markets. For policymakers, a better understanding of carbon performance and financial markets will contribute to designing policies to set up priorities for countering carbon emissions.

The study highlights the critical areas that require attention to limit greenhouse gas emissions and promote decarbonisation effectively. Policymakers can leverage these insights to develop targeted and evidence-based policies that facilitate the transition to a more sustainable and low-carbon economy.

The study initially attempts to discuss the research stream on carbon performance and financial markets literature from a systematic literature review.

The discussion about using Chat Generative Pre-Trained Transformer (ChatGPT) by teachers is making notable progress on a daily basis. This research examines the teachers' adoption intention to adopt ChatGPT by focusing on perceived trust and perceived risk. The study seeks to elucidate the impact of these two factors on teachers' adoption intentions towards ChatGPT.

This study was exclusively conducted at private higher educational institutions in Gujarat, India. Data collection was done through a cross-sectional survey design. The proposed conceptual model was examined with the help of structural equation modelling (SEM).

The outcome of the study confirms the significant contribution of perceived usefulness, perceived ease of use, perceived trust, perceived intelligence, perceived anthropomorphism and social influence to teachers' intention to adopt ChatGPT. The findings of the study show that perceived risk exerts a negative moderating effect between perceived usefulness and adoption intention as well as between perceived trust and adoption intention.

This study fills the knowledge gap about teachers’ adoption of ChatGPT at private higher education institutions, thus contributing to the existing literature. Specifically, the distinctive role of key variables like perceived risk and perceived trust helps increase the existing body of knowledge.

Several practical implications are presented on the basis of the conclusions from the outcome of the study that would help increase teachers’ adoption intention of ChatGPT in higher education institutions. These implications include recommendations to promote the integration of ChatGPT in educational set-ups to help teachers leverage its potential benefits into their teaching practices.

This research study goes deeper into the subject than previous research, which mainly focused on the possible advantages and downsides of ChatGPT applications in the field of education. It makes a substantial contribution to our understanding of ChatGPT adoption among teachers for educational purposes by investigating through the lens of perceived risk and perceived trust. The study offers fresh understandings that were previously ignored and brings new perspectives to the body of literature.

The main fast moving consumer goods (FMCG) retail formats that customers engage with in India are Kirana stores, neighborhood convenience stores (NCS), supermarkets and online retailers. However, there has been less research done on the variables or antecedents that could favorably affect consumers' engagement with these FMCG retail formats. To improve retail practices, this study looks at how female consumers perceive the performance of FMCG retail formats on different antecedents of consumer engagement. The status of consumer engagement with FMCG retail formats was also analyzed.

The present study used exploratory as well as descriptive research design. Previous studies were analyzed to identify the antecedents of consumer engagement. A structured questionnaire was used to collect the primary data from 400 female respondents of two major urban cities in north-western India. The descriptive analysis and one-way ANOVA test were performed to analyze the data.

Kirana stores’ performance on most of the antecedents was not satisfactory. Supermarkets and online retailers performed better on all antecedents. Customer marketing orientation and experiential marketing were the antecedents that required more attention from Kirana stores, NCS and supermarkets. Consumer engagement with online retailers was highest, whereas consumer engagement with Kirana stores was least.

This study offers a comprehensive examination of the antecedents of consumer engagement and consumer engagement with FMCG retail, which no prior research has studied in the context of FMCG retail businesses.