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This paper aims to examine the influence of environmental concerns and consumers’ knowledge of green brands on their purchasing decisions of green products, utilising green trust as a mediator.

Responses from 383 Indian consumers were collected, which was analysed using descriptive and inferential statistics. The causal relationships between latent variables and mediating effect of green trust were investigated by performing Structural Equation modelling.

Green trust served as a crucial factor in mediating the relationship between environmental concern and green purchase decision. Trust in eco-friendly products significantly influenced the consumers’ decisions to make green purchases. The study further validated that environmental concern significantly influences individuals’ decisions to make green purchases.

The study employed a cross-sectional research design to elucidate the relationship among the factors. However, a longitudinal research design is recommended for further study to ascertain the actual purchase decision and evaluate the reliability of the results.

Marketers can use the study findings to understand consumer knowledge better and trust in green and sustainable products. The proposed model will support marketers and policymakers in developing appropriate marketing strategies as well as facilitate educating consumers about the nuances of green products and the habit of buying eco-friendly products.

Study’s novel contribution is mediation between environmental concern and green purchase decision through green trust.

This study aims to examine the impact of consumer risk appetite, biases (specifically negative recency bias), and the importance of reviews in enhancing information quality. By analyzing these variables, the authors gain insights into their role in enriching the overall information spectrum available to consumers. The findings contribute to a better understanding of how risk appetite, biases and consumer reviews shape the quality of information.

The questionnaire assessed the relationship between dependent and independent variables by asking participants to rate their experiences in relevant scenarios. Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.

The efficiency of reviews and ratings is greatly influenced by consumer risk appetite. Businesses should focus on clients who are willing to take risks and balance positive and negative feedback. It is essential to comprehend how customers understand reviews. Credibility is increased by taking biases into account and encouraging unbiased criticism. Promoting thorough reviews strengthens influence. Monitoring and making use of these elements improve online reputation and commercial success.

The research has limitations due to the simplicity of the attributes taken into account and the requirement for a larger sample size. Overcoming barriers to promote consistent client feedback is essential, and tailored emails can help with assessment generation. Increased customer participation in writing evaluations can be achieved by removing obstacles and highlighting the advantages of participation.

Businesses and buyers rely on this “organically” generated content as the basis of their promotional strategy and buying decisions. Most of the research is related to consumer reviews, their behavior and the importance of social validation. However, some critical aspects related to this need further investigation.

This paper aims to explain how Web 2.0, social connectedness online, has created incredible new business options. This research’s primary goal is to help businesses use these resources more effectively and perform better.

Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.

Theories encompassing social support and related approaches to “word of mouth” online, electronic purchasing and virtual communities mediated by technological platforms are the foundational frameworks for this research piece. It then produces a statistical model that enables users to predict how social commerce (s-commerce) building blocks, including forums, communities, ratings and reviews and recommendations, assist businesses in introducing innovative strategies to win in the digital markets. The results necessarily focus on trust, an essential component of e-commerce. Reciprocally, the study reverses engineer’s trust through the constructs of this moment mentioned.

The present study describes the scope of empirical testing and validation of this framework and assists practitioners in further strengthening s-commerce strategy, an emerging and essential platform in the e-commerce industry.

Research highlights the dearth of current analysis in such conceptual domains while generating novel research insights aimed at e-commerce and digital business. From the viewpoint of potential and recurring customers who interact with online communities and product offerings, the study captures the essence of human interactions, often known as trade relationships, online.

The use of information and communication technology (ICT) has been improving in education and constantly evolving; however, the recent pandemic has catapulted it. Digital transformation of academia through online teaching demands new pedagogies to be adopted by faculty members. Academia embraces technological advancements in teaching-learning to ensure growth, development and sustainability. This paper aims to gain insights regarding the current status of literature, critical contributing authors, countries, areas, overall trends and future direction for research.

The bibliometric data was collected from two of the most widely referred databases: Scopus and Web of Science(WoS); tools like vosViewer and map builder were used for analysis. Short empirical evidence is added to the study to understand faculty members' current adoption of new pedagogical approaches in some prominent higher educational institutions.

Because of the corona pandemic, there is substantial digital transformation in the teaching-learning process. Therefore, it is essential to comprehend what faculty members can adopt critical pedagogies. Understanding the importance of pedagogy in learning outcomes, this study has attempted to synthesize available literature on ICT, pedagogy and higher education in the 21st century.

The study outlined flipped and blended learning as two teaching methods developed due to ICT integration in the classroom. Bibliometric insights from the study build the groundwork for academic advancement to remote online education. This is an attempt to corroborate such insights.

This study aims to explore two main objectives. Firstly, it examines the mediating roles of green human resource management practices (GHRMPs) and green employee creativity (GEC) between green transformational leadership (GTL) and green employee behaviour. Secondly, it investigates the moderating effect of green individual values (GIVs) on the indirect relationship between GTL and green employee behaviour.

The study involved 326 employees from ECOTEL-certified hotels in India. Analysis was conducted using the Statistical Package for Social Sciences (SPSS) AMOS and MACRO.

The results indicate a direct relationship between GTL and green employee behaviour. Additionally, GHRMPs and GEC partially mediate this relationship. Furthermore, GIVs positively moderate the indirect relationship between GTL and green employee behaviour, specifically moderating the path between GHRMPs and GEC.

This study fills a significant gap in the literature by investigating the combined effects of GTL, GHRMPs, GEC and GIVs on employee pro-environmental behaviour. Understanding these relationships is crucial for organizations aiming to implement effective green initiatives and cultivate a culture of environmental responsibility among employees. This study is ground-breaking in its approach, delving into the complex network of interconnected variables through both mediation and moderation analyses. By doing so, it aims to uncover the intricate mechanisms influencing employees' inclination towards pro-environmental behaviour.

The purpose of this study is to delve into the intricate terrain of assimilating sustainability practices into digital accounting and finance, centring on the transformative dynamics introduced by artificial intelligence (AI)-enabled FinTech. The primary objective is to scrutinize critical lacunae in existing literature, exploring how organizations can meticulously construct comprehensive sustainability frameworks. Simultaneously, the study investigates the protracted repercussions of AI-enabled FinTech on the enduring sustainability paradigms.

Executing a systematic literature review, the research engaged in the meticulous identification and assessment of a voluminous pool of 1,158 articles. Using a judicious two-phase strategy, the scrutiny distilled a mere 64 pertinent articles, subjecting them to rigorous evaluation encompassing methodologies, contributions and overall quality. The Fuzzy Delphi method was used to elicit expert opinions and facilitate consensus-building, leveraging fuzzy logic to accommodate uncertainties in the data.

The review navigates the convoluted impact of AI across diverse sectors, accentuating its transformative imprint on realms such as health care, finance and transportation. Specifically, in the financial domain, the discerning eye of AI-enabled FinTech optimizes investment portfolios, augments risk assessment, propels financial inclusion and streamlines the intricate landscape of sustainability reporting. The study meticulously pinpoints research gaps encompassing investment optimization, risk management, financial inclusion, sustainability reporting and ethical considerations within the intricate milieu of AI-enabled FinTech. This research contributes to the existing body of knowledge by synthesizing intricate thematic strands, discerning overarching trends and spotlighting critical voids in the synthesis of sustainability practices and AI-enabled FinTech. The findings resonate with far-reaching implications, emphasizing the exigency of comprehensive investigations into the longitudinal sustainability ramifications instigated by AI-enabled FinTech.

The study underscores the imperative of crafting robust ethical frameworks for the equitable and transparent deployment of AI solutions within the intricate landscape of FinTech. Moreover, this research stands poised to shape organizational strategies, inform regulatory frameworks and guide investment decisions, thereby catalyzing the cultivation of conscientious and sustainable financial practices.

This study aims to present systematic analysis of research concerning the intersection of human resource management (HRM) and the integration of artificial intelligence (AI) technologies within a digitalized economy further analyzing the trends in research with specific emphasis on utilization of diverse AI technologies within HRM.

This research is based on bibliometric analyses and content analyses. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses review methodology is implemented, using the Scopus database as the primary source which gathered 1,414 articles between 1978 and 2024. This study investigates publishing trends, the most prolific countries, universities, journals, publications and authors in the field. Further, the research trends based on the use of AI in HRM were accomplished through scientific mapping using VOSviewer.

The outcomes demonstrate a rising inclination toward using various AI techniques in HRM which shows increasing influence and growing appeal of the subject. The research uncovers the deployment of diverse technologies, including emerging ones, within the HRM field. It accomplishes this by scrutinizing the connections among various keywords and unearths both contradictions and focal areas of interest within the domain.

The study contributes to the existing body of literature by ascertaining suggestions for further research in the field of HRM integrated with various AI technologies. The integration of these technologies in HR holds a promising and optimistic outlook for the managers, thereby enhancing employee productivity.

Conflict resolution is crucial to nurturing workplace harmony and creating a positive environment. This study aims to evaluate the relationship between perceived fairness, choice of technology and conflict resolution in the case of full-time employees from various sectors. The scope is limited to examining the influence of perceived fairness (PF) and the impact of technology on interpersonal conflict resolution (ICR), with age and designation being control variables.

A quantitative research design was used, and data was collected through a questionnaire distributed to 450 respondents, with 420 participants’ responses included in the analysis. Structural equation modeling using the SmartPLS software was then applied.

The findings revealed that perceived fairness has a significant positive impact on interpersonal conflict resolution, as did the use of technology. Age significantly influenced the relationship, while designation did not show an important relationship.

The results suggest that organizations should prioritize perceived fairness in their policies and practices to create a conflict-resolving environment. Furthermore, they can leverage technology to enhance conflict resolution processes as the workplaces accept hybrid as a way of work. These findings can also guide practitioners in fostering positive workplace climates by effectively managing conflicts.

This study contributes to the existing literature by examining the relationship between perceived fairness, technology and conflict resolution. It expands understanding of the factors influencing conflict resolution and highlights the importance of fairness and technology. The findings have practical implications for organizations seeking to enhance conflict management strategies.

The study aims to investigate the impact of job demands-client-front demands (JDCF) and job demands-office-front demands (JDOF) and family demands (FD) on the perceived competency of work from home (PCWFH) and emotional exhaustion (EE) of remote workers. The study also investigates the impact of mindfulness as a moderator.

To study the variables, a quantitative survey of 675 remote workers and an interview of 30 remote workers was conducted. The data analysis showed that JDCF, JDOF and FD significantly and negatively affect PCWFH. PCWFH also had a negative impact on EE, supporting the detrimental effect of poor perceived competence on increasing EEs.

The finding emphasises the value of a supportive work environment and mindfulness training sessions in dealing with the difficulties of remote work. The study concluded that respondents with mindfulness training better manage their emotions to produce better work results.

Managers should include mindfulness practice in their daily routine to enhance their performance and manage EE in remote work.

In augmenting mindfulness literature, this study provides insight into how managers can leverage on mindfulness practice to improve performance.

Transformational leadership has attained immense attraction in contemporary research for its positive contribution in implementation of Education 4.0. Drawing on social bond theory and employee stewardship theory, this study aims to examine the mediating roles of employee engagement and organisational citizenship behaviour between transformational leadership and Education 4.0 in higher educational institutions.

Data was collected through survey questionnaire by using three-wave time lagged study design from regular faculty members of Indian higher educational institutions. Hayes Process Macro was used for testing the parallel mediation model.

Transformational leadership has a positive and significant impact on Education 4.0. The results of this study indicate that employee engagement and organisational citizenship behaviour partially mediate the relationship between transformational leadership and Education 4.0. Furthermore, the analysis explains that employee engagement and organisational citizenship behaviour leveraged under transformational leadership act as parallel mediators, and there is no statistical difference between them.

To the best of the authors’ knowledge, this study is first in itself to consider more than one factor influencing the relationship between transformational leadership and Education 4.0, thus making ground for parallel mediation. This study addresses the urgent call by United Nations for achieving Sustainable Development Goals (SDGs) by ensuring quality education (SDG 4) and reducing inequality (SDG 10), thereby giving peaceful and strong intuitions (SDG 16).