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Mobile human resource management application (mHRM app) has emerged as an innovative solution to manage human resources. However, the performance of the application is questionable, and hence, it is crucial to know employees' perception towards it. This study aims to explore employees' perceived service quality towards mHRM app using the moderated-mediation framework.

Data were collected from 265 Indian HR professionals using online questionnaire. The proposed hypotheses were examined using structural equation modelling and PROCESS Macro.

Results indicate that navigation and contact significantly affect employees' mHRM usage behaviour. Results also indicate that perceived values significantly mediates the association between perceived service quality and mHRM usage behaviour.

The findings of the study will help organisations in enhancing their employees' perceived service quality towards mHRM app.

This study contributes to the literature on human resource management, total quality management and cognitive-motivational-relational (CMR) theory.

The aim of this study is to evaluate the impact of convenience on banking consumers' webrooming intention. To fulfil this objective, this study empirically investigates how convenience impacts consumers' webrooming intention, using a comprehensive moderated–mediation framework. The study investigates the mediating effects of perceived hedonic values and perceived utilitarian values and how these mediating effects are moderated by consumers' perceived security concerns.

Data were collected using a questionnaire-based offline survey from 534 banking users in India, using systematic sampling. The covariance-based structural equation modelling and PROCESS macro were used to examine the hypotheses.

The results indicated that access convenience, search convenience, benefit convenience and post-benefit convenience have a crucial impact on consumers' webrooming intention. The perceived hedonic values and perceived utilitarian values mediate the effects of convenience dimensions on webrooming intention, and mediation effects varied between high and low levels of consumers' perceived security concern.

This study was conducted in India using cross-sectional data. The proposed model can be replicated in other countries using longitudinal data for generalising the findings.

The study's findings will help banks identify how to enhance convenience to manage channel-switching behaviour.

“Webrooming”, a key channel-switching concern in a multichannel banking context is investigated by examining the impact of convenience dimensions.

This study aims to explore the factors influencing the bottom of the pyramid (BOP) consumers’ adoption and usage intention towards mobile payment (m-payment) to achieve financial inclusion and sustainable development goals.

A qualitative research design is used to explore the enablers and inhibitors that influence BOP consumers’ m-payment adoption and usage intention. To collect the qualitative responses, semi-structured in-depth interviews with BOP respondents were conducted. The thematic analysis using the text mining technique will be used to analyse qualitative data for exploring the predominant factors affecting m-payment adoption intention and usage.

The results suggested awareness, social influences and self-efficacy as crucial enablers and privacy and security risks and vulnerability concerns as crucial inhibitors towards m-payment adoption and usage.

As a novel contribution to the BOP, financial inclusion, sustainable development goals and m-payment literature, this study unfolds several unknown perceived benefits and perceived sacrifices that influence the BOP consumers’ m-payment adoption intention and usage. The study’s findings help the government and banks formulate and implement strategies to achieve financial inclusion among BOP consumers.

The mobile human resource management application (mHRM app) has recently been seen as an innovative cloud-based solution to manage human resource management (HRM) within organisation. Despite its great potential, organisations have shown resistance towards the usage of the mHRM app. This study investigates the dark side of electronic HRM (eHRM) by examining factors affecting HR professionals' resistance to the mHRM app using status quo bias (SQB) theory. The study also examines the moderating effect of personal innovativeness.

Responses were collected from 239 HR professionals using an online survey. Structural equation modelling (SEM) and PROCESS macro were used to examine the hypotheses.

The results indicated that regret avoidance, inertia, switching costs and perceived threat significantly affect HR professionals' resistance towards mHRM app adoption. Results also indicated that high personal innovativeness negatively moderates the association between inhibitors and resistance to adopt the mHRM app.

The study's findings will help HR professionals reduce their resistance towards mHRM app adoption.

This study enriches eHRM, mobile applications and the SQB literature.

This study aims at identifying critical success factors of a sustainable mobile banking application using text mining approach.

A total of 6,073 consumer reviews relating to a mobile banking application were collected and analyzed to meet the study objective. Latent Semantic Analysis (LSA) was done to identify the critical success factors of a sustainable mobile banking application.

The results indicated that privacy and security, navigation, customer support, convenience and efficiency are the key factors.

The study findings enrich the mobile banking and sustainable service delivery channel literature.

The results are expected to benefit the bankers in delivering effective banking services through a mobile banking application.

Studies in the sustainability are few yet promising particularly the ones that use rigorous statistics suitable on thousands of data points to accomplish the study objectives.

This study examines consumers’ usage intention towards retail metaverse banking. This research also investigated the mediating impact of trust and distrust. This research also examined the moderating impact of perceived security concerns.

Firstly, a qualitative study is performed to explore the benefits and sacrifices that may influence usage intention. Further, the quantitative study gathered a total of 308 responses to investigate the proposed hypotheses.

The findings suggest that perceived anthropomorphism and perceived immersion positively impact the usage intention towards retail metaverse banking. Further, lack of social interaction and perceived vulnerability had a negative influence towards retail metaverse banking. Further, trust and distrust were found to be significant mediators. Also, perceived security concern was shown to be a significant moderator.

The study contributes to the metaverse literature and suggests to banks how to enhance usage intention towards retail metaverse banking. The study also enriches the literature on dual-factor theory.

The purpose of this research is to identify the most important attributes of metaverse influencers and examine their impact on customer engagement and social glue.

Three studies (one qualitative and two quantitative) were conducted to understand the phenomenon better. The qualitative study (Study 1) was conducted to identify the antecedents of the theoretical model, which was tested in Study 2 using the covariance-based structural equation modelling (CB-SEM) technique. Study 3 then divided the respondents based on the metaverse influencer attribute preferences.

Results of Study 1 revealed the six most influential attributes of metaverse influencers: physical attractiveness, social attractiveness, perceived credibility, metaverse-influencer fit, intimacy and attitude homophily. Further, Study 2 validated that attractiveness and perceived credibility enhance engagement. Also, the results revealed that intimacy, perceived credibility and homophily enhance social glue. Moreover, parasocial relationships mediate the association between intimacy, attitude homophily, perceived credibility and (engagement and social glue). The conditional indirect effect of physical attractiveness, social attractiveness and metaverse–influencer fit on (engagement and social glue) via parasocial relationships at different high and low levels of self-discrepancy was significant. Finally, Study 3 used latent class analysis to reveal different clusters of metaverse users.

This research enriches our understanding of metaverse influencers, contributing to the influencer marketing literature. It offers actionable insights for marketers by elucidating key influencer attributes, aiding in enhancing engagement and social glue.

This study investigates organizations' non-adoption intention towards the enterprise metaverse. The innovation resistance theory (IRT) is used as an underpinning theory to examine the impact of various risks on non-adoption intention towards the enterprise metaverse.

A total of 294 responses were collected to examine the proposed hypotheses. A structural equation modelling technique was used to investigate the hypotheses using SPSS AMOS and PROCESS MACRO.

The results of this study reveal that performance, security and psychological risks are significantly associated with non-adoption intention towards enterprise metaverse. Further, distrust significantly meditates the association between performance risk, social risk, technological dependence risk, security risk and psychological risk and non-adoption intention towards enterprise metaverse. Moreover, the results of moderated-mediation hypotheses indicate that the mediating effect of distrust on the association among performance risk, social risk, psychological risk and non-adoption intention towards enterprise metaverse is higher for individuals having high technostress compared to individuals having low technostress.

The study's findings will enrich the metaverse literature. Further, it provides a deeper understanding of enterprise metaverse adoption from a B2B perspective using the underpinnings of IRT. The study helps organizations understand the risks associated with the adoption of the enterprise metaverse.

This study aims to examine the effect of dataveillance on resistance towards online payment. Using a moderated-mediation framework, the study also investigates the mediating effects of perceived privacy and security concerns and how these mediating effects are moderated by corporate credibility, consumer scepticism and consumer empowerment.

A scenario-based experimental design was performed to examine the proposed hypotheses. Analysis of covariance and PROCESS macro were used to examine the hypotheses by analysing 312 collected responses.

The results indicated the dataveillance positively affects consumer resistance towards online payment. The results also suggested that corporate credibility and consumer scepticism significantly moderates the association between dataveillance and resistance towards online payment.

The findings of this study will help online retailers to reduce consumers’ perceived privacy and security concerns, thereby reducing consumers’ resistance towards online payment.

Theoretically, the study contributes to privacy, consumer behaviour, online payment and cognitive-motivational-relational theory literature.

This study aims to understand the association between employee emotional capital, organizational commitment and implementation of the targeted sustainable development goals (SDGs) by businesses. It explores how the various emotional competencies possessed by employees of an organization and accumulated in the form of a capital, can be utilized to ensure effective pursuit of SDG implementation by businesses.

This study is based on extensive literature exploration to identify competencies crucial for SDG attainment by a business. The conceptual model built on the same is then tested by conducting a survey on working professionals. Subsequent statistical analysis is conducted to establish the relationship as defined in the theoretical model.

The results of our analysis indicate a relationship between organizational commitment and emotional capital of the employees. In line with our conceptual framework, the statistical analysis also corroborates to the idea that emotional capital can improve the SDG attainment by an organization by influencing the organizational commitment. This study also identifies the specific emotional competencies which can play an important role in this direction.

This study connects the dots to establish a micro-meso-macro framework which can facilitate active participation of individuals and the businesses in achieving the SDGs. This study presents strong managerial and academic implications by identifying specific intervention areas which can and be focused upon by managers and academicians to focus on SDG implementation.