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This paper aims to provide a bibliometric review and visualisation analysis of the literature on Sustainable Stock Indices (SSI) between January 2001 and March 2022. The purpose of performing this bibliometric analysis is to empirically report the trend, intellectual structure, knowledge development directions and identify prospective research topics in the area of SSI.

A total of 222 publications were selected after evaluating, identifying and synthesising the extensive publications using the Preferred Reporting Items for the Systematic Reviews and Meta-Analyses (PRISMA) approach. The articles were extracted from the databases of SCOPUS, Web of Science and Google Scholar. The study uses VOSviewer and RStudio software to answer four research questions.

The results signify that there has been a considerable increase in the level of research considering SSI. Further, the study shows that SSI is among the top five trending keywords in the research related to finance and environment. Most papers considered as a sample for this study are based on Dow Jones Sustainable Indices. Noteworthy, very few economies are participating in this research domain, and the significant contribution is from the developed countries.

The present review paper may assist the researchers in identifying the trending research topics in this domain. It may serve as a roadmap for several further studies in the area.

This study is unique in terms of reviewing the literature based on SSI. Further, it provides a holistic view of the current trend, global position and research hotspots of SSI, which has important implications for future research.

In this study, as part of an attempt to foster sustainable development, the aim is directed at understanding the perspectives of domestic economic, financial and political risks in tourism development. On the other hand, the role of other agents of sustainable development: innovation, infrastructure, health and primary education and global crisis in tourism development, was illustrated.

To achieve this objective, the current study explored the (system) SYS-Generalized Method of Moments (GMM) technique for a panel of selected 73 economies over the period 2006–2017. This GMM approached is not undertaken without first establishing the stationarity (a preliminary test) of the employed dataset by utilizing the relevant unit root techniques.

First, the study found that minimizing risks from economic, financial and political aspects is significant and vital to the attractiveness of the tourism destinations and the eventual development of the tourism sector. Second, the study presents innovation or technological readiness and health and primary education as agents of sustainable development through the growth of international tourism arrivals while global crisis is significantly detrimental to tourism inflow.

Overall, the study presents the contribution of tourism as a pathway to sustainable development from unique dimensions. Investigating a large panel (of 73 countries) is a unique approach. In addition, considering the economic vulnerability of the panel countries from the aspects of risk arising from economic, financial and political aspects is another interesting dimension to the novelty of the study. Thus, this study offers relevant policies for tourism stakeholders.

The aim of the paper is to investigate the risk-hedging and/or safe haven properties of environmental, social and governance (ESG) index during the COVID-19 in China.

This paper employs the DCC, VCC, CCC as well as Newey–West estimator regression.

The findings provide empirical evidence of the risk hedging properties of ESG indexes as well as of the environmental, social and governance thematic indexes during the outbreak of the COVID-19 crisis. The results also support the superior risk hedging properties of ESG indexes over cryptocurrency. However, the authors do not find any safe haven properties of ESG, Bitcoin, gold and West Texas Intermediate (WTI).

The paper offers therefore, practical policy implications for asset managers, central bankers and investors suggesting the pandemic risk-hedging opportunities of ESG investments.

The study represents one of the first empirical contributions examining safe-haven and hedging properties of ESG indexes compared to traditional and innovative safe haven assets, during the eruption of the COVID-19 crisis.

Purpose: The study aimed to investigate the impact of corporate governance (CG), non-performing loans (NPLs), and bank size (BS) on the financial performance (FP) of banking institutions in Kosovo.

Need for the study: Despite the growth and development of the banking sector in Kosovo, there’s a dearth of comprehensive research examining the key factors influencing their FP. This study aimed to bridge this gap, with a focus on CG, NPLs, and BS.

Methodology: The research employed a multiple regression model to analyse a sample of banking institutions in Kosovo over the period 2006–2021. The key variables included various CG factors, the level of NPLs, and BS, with FP measured through return on assets (ROA) and return on equity (ROE).

Findings: The study found a significant positive relationship between CG factors and bank performance (BP), particularly board size and board independence. Conversely, a significant negative relationship was observed between the level of NPLs and BP. Furthermore, the study revealed a non-linear relationship between BS and FP, with economies of scale contributing to improved performance up to a certain threshold, after which further increases in size led to inefficiencies and lower performance.

Practical implications: The findings of this study carry important implications for policymakers, banking practitioners, and academics. It underlines the importance of sound CG, effective risk management, and maintaining an optimal BS to enhance the FP of banks in Kosovo. It is suggested that these factors should be considered in the formulation of future banking regulations and strategies.

This paper aims to examine whether the audit committee moderates the relationship between audit quality and market reactions.

Using fixed effects and the GMM model for robustness, the study used 472 publicly listed firms on South Africa’s Johannesburg stock exchange spanning a period of six years from 2014 to 2019.

Results obtained show that audit quality impacts market reactions through share price and adjusted market returns. And, that the audit committee moderates the relationship between audit quality and market reactions in South Africa’s publicly listed firms. An effective audit committee is expected to play a crucial role in overseeing the audit process, ensuring the independence of auditors and promoting transparency and accountability which in turn impacts asset prices.

The study implies that governments and regulatory bodies in other developing economies could strengthen regulations about companies’ Acts, how firms regulate themselves and more so audit committees. Firms can also strive to make sure that audit committees are staffed with experts to promote higher audit quality and investor attention to get access to the much-alluded capital.

To the best of the authors’ knowledge, the study adds value by being the first to explore the subject matter of the importance of audit committees in defining audit quality and market reactions in publicly listed firms. The research adds to the body of knowledge on corporate governance and audit quality. It provides a case study specific to the South African context, contributing to the global literature on these topics.

This paper aims to investigate perceptions of the employees on decent work and explore the path how employees, employers, social partners and public policymakers contribute to a united response to the implementation of sustainability dimensions to foster community cohesion and promote common vision.

The survey was conducted in country of Kosova and aimed to target respondents under employment relationship at the time of the survey administration. Respondents were categorized into two groups: those working in the public sector and the ones working in the private sector. The sample consisted of 580 respondents. Descriptive statistics, reliability measures and Person correlation coefficient were used for data analysis.

The results showed that strong positive correlation is found between having rights of employees protected and safety at workplace; equal treatment at workplace and receiving a fair pay; the positive impact of social partners and protection of employees; and finally, efforts of government to create conditions for decent work and its active support of decent employment.

To the best of the authors’ knowledge, this research topic is among the first studies in country that has been developed at the Universum International College as one of the constituting research themes deriving from the Institution’s research plan on sustainability. It explains the multiform and multifold ways through which decent work may be promoted as common vision between employees, employers, social partners and public institutions.

The purpose of this study is to investigate the influence that technological, environmental and organizational factors have on the rate of Internet of Things (IoT) adoption within the logistics industry. In addition, the moderating effect that the risk factor has on the technological, environmental and organizational factors regarding the implementation of IoT in logistics.

For the purpose of testing the models and hypotheses, a survey was carried out in order to collect the responses from currently employed individuals at various companies working in the field of logistics or IoT. For the purpose of analysis, the authors made use of the partial least squares structure equation model (PLS-SEM) technique.

Findings of this study concluded that technology- and environmental-related factors significantly affect the adoption of IoT in logistics, while risk acts as a moderator for the technological-related factor only in the adoption of IoT in logistics.

The relevance of the authors' study lies in the growing importance of IoT in logistics and the need for logistics companies to understand the factors that impact the adoption of IoT in their operations. By identifying and analyzing the factors that influence IoT adoption in logistics, the authors' study provides valuable insights that can help logistics companies make informed decisions about whether and how to adopt IoT.

The research will help organizations make strategies for the successful adoption of IoT and ease the lives of all the stakeholders.

In this research, the authors attempted to find the factors that influence the adoption of IoT in logistics management. The influence of the technological, environmental, organizational and risk-related factors on the adoption of IoT in logistics management was studied. The moderating effect of risk over these factors on the adoption of IoT in logistics was also analyzed. This is original work and has never been done earlier.

This study aims to investigate the impact of emotional intelligence on work engagement by exploring the mediating roles of self-efficacy and psychological empowerment in this relationship.

Using the survey method, data were collected through both physical and online means. The final sample comprised 304 teachers working in elementary, middle and high schools. Structural equation modeling (SEM) analysis, utilizing IBM Amos version 26, was employed to assess the hypothesized model.

The study's results revealed that emotional intelligence does not exert a direct impact on work engagement. Additionally, self-efficacy was not found to mediate the relationship between emotional intelligence and work engagement. However, psychological empowerment emerged as a mediating factor in this context. Furthermore, self-efficacy and psychological empowerment concurrently demonstrated significant mediation of the relationship between emotional intelligence and work engagement.

The findings underscore the significance of teachers' emotional intelligence, suggesting that it can have profound implications for their work engagement through the mediating mechanisms of self-efficacy and psychological empowerment. Educational principals and administrators are encouraged to prioritize the enhancement of teachers' psychological empowerment, recognizing it as a pivotal link between teachers' emotional intelligence and work engagement.

This study contributes to the field by comprehensively examining the mediating roles of self-efficacy and psychological empowerment, addressing prior empirical gaps, and enriching the understanding of how emotional intelligence influences work engagement within the educational sphere.

This conceptual study investigates the adoption of education technology (EdTech) products among college students, focusing on identifying the key factors influencing the adoption process within educational institutions. Technology integration in education has rapidly gained prominence, with EdTech offering innovative solutions to enhance teaching and learning experiences. However, understanding the determinants that affect EdTech adoption remains critical for its successful implementation and impact. This paper aims (1) to identify the factors influencing the adoption of EdTech by college students (2) to create a conceptual model that shows the connections between the elements that lead to college students adopting EdTech.

The research employed a mixed-methods approach, combining qualitative data analysis and conceptual modeling to achieve the objectives. The underlying knowledge required to create a qualitative data gathering tool was obtained through a thorough literature analysis on innovation dissemination, educational psychology and technology adoption. College students, teachers and administrators participated in semi-structured interviews, focus groups and surveys to provide detailed perspectives on their attitudes about and experiences with EdTech. The Scopus and Web of Science databases are searched for relevant information in an organized manner in order to determine the factors influencing the adoption of EdTech. Second, an extended version of the technology adoption model is adopted to develop a qualitative data-based conceptual framework to analyze EdTech adoption in the Indian context.

Overall, by highlighting the critical components that emotionally influence college students' adoption of EdTech products in educational institutions, this course adds to the body of information already in existence. The conceptual framework model serves as a roadmap for educational stakeholders seeking to leverage EdTech effectively to enrich the learning environment and improve educational outcomes. By recognizing the significance of the identified factors, academic institutions can make informed decisions to foster a climate conducive to successful EdTech integration.

A comprehensive conceptual framework model was developed based on qualitative data analysis to illustrate the interrelationships between the identified factors influencing EdTech adoption. This model presents a valuable tool for educational institutions, policymakers and EdTech developers to comprehend the complex dynamics of implementing these technological solutions.

The findings of this study demonstrated a number of important variables that affect the uptake of EdTech products in educational settings. These factors encompassed technological infrastructure, ease of use, perceived usefulness, compatibility with existing academic practices, institutional support, financial constraints and individual attitudes towards technology. Additionally, the research explored the significance of institutional preparation for embracing technological advancements as well as the influence of socio-cultural elements.