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The purpose of this study of M&A in relation to sustainability aims to create synergies that drive both financial performance and positive environmental and social outcomes, aligning business objectives with broader societal goals. The study can help in understanding the structure, collaborations and recent keywords and topics that are related to M&A in relation to sustainability.

This study applies comprehensive bibliometric analysis on performance analysis and science mapping of the scholarly literature related to M&A in relation to sustainability published between 2004 and 2024 in 196 publications on Web of science and Scopus by leveraging biblioshiny within R Studio and the VOS viewer software for enhanced visualization and interpretation of the bibliometric data.

This study helps to find out the co-occurrence analysis, bibliographical coupling and keyword analysis. Moreover, it scrutinizes patterns of collaboration among researchers, institutions and nations, shedding light on the global reach and influence of scholarly contributions in the field of M&A in relation to sustainability.

This study identified trends can help scholars, policymakers and business experts to study M&A through the lens of sustainability.

This bibliometric study of M&A in relation to sustainability can drive positive change by promoting responsible business practices, fostering innovation and creating value for both shareholders and society as a whole.

The paper concludes by finding emerging topics of the research and future directions, it gives a good input to extend the line on the graph. This study provides overview of 20 years of research on M&A in relation to sustainability and discusses its findings to identify the research gap.

As a little research has been conducted to understand the factors influencing users’ intentions to adopt blockchain-based telemedicine (BBT), it is important to investigate BBT acceptance as incorporation of blockchain technology can solve telemedicine-related issues. Accordingly, this study aims to investigate the factors influencing behavioral intentions (BI) to adopt BBT.

An integrated model comprising the constructs taken from technology–organization–environment framework, technology acceptance model, unified theory of acceptance and use of technology and theory of planned behavior based on their relevance to the context and the objectives of the study has been used for this research. A quantitative approach has been used to test the hypotheses, for which the data was collected from 324 respondents through a self-administered questionnaire. Partial least squares structural equation modeling has been used to test the hypotheses.

The results of the study show that relative advantage, perceived usefulness, trust and perceived ease of use have a significant impact on BI to adopt BBT, whereas regulatory support, subjective norms and facilitating conditions do not have any significant impact on the same.

As the concept of BCT in Pakistan is at its nascent stage and literature regarding this technology’s adoption is also limited, researchers and scholars can apply it to several other fields in Pakistan. For example, this study can be extended to explore the factors influencing blockchain adoption in areas such as education, logistics, transportation, finances and management. This research only considers the direct effects of constructs on BI to adopt BBT and does not consider any mediation and moderations constructs. Future researchers can also study the influence of mediation and moderation constructs on BI to adopt BCT.

Although studies on the acceptance of telemedicine exist, there is a gap concerning the acceptance of BBT, which the current study helps to bridge. From a practical standpoint, the current study makes a highly valuable contribution toward understanding acceptance factors for BBT projects, leading to help policymakers devise policies to promote telemedicine.

This study aims to explore the safe-haven properties of sukuk and analyze the co-movement and interdependence between sukuk and conventional bond indices to provide insights into the potential role of diversification.

The study uses the data set from 2012 to 2022, retrieved from the Eikon Reuter database. Different machine learning tools such as decision trees, random forests, gradient boosting and deep neural networks have been applied to capture the non-linear relationship and co-movement among the variables. Furthermore, K-clustering captures the hidden patterns and periods of high and low co-movements.

The results state that the sukuk and conventional bond indices exhibit various degrees of co-movement influenced by regional and global market sentiments. The clustering analysis shows strong positive and negative correlations. The sukuk shows some instances of zero co-movement, but the results are inconsistent across all scenarios. Moreover, investors need to do their research first before investing in sukuk.

This study uniquely applies K-clustering and advanced machine learning tools to understand the nonlinear relationship among variables better. In contrast, the previous studies mainly focused on linear relationships. It is critical to understand that financial variables tend to have nonlinear relationships, and these techniques best suit those needs.

The construction business is widely recognised for its inherent complexity and dynamic nature, which stems from the nature of the job involved. The industry is often regarded as one of the most challenging industries globally in terms of implementing environmental, health and safety (EHS) practices. However, in the absence of EHS, the construction industry cannot be considered sustainable. Therefore, this study aims to identify the trends, knowledge gaps and implications of EHS research to enhance construction activities and knowledge.

The study adopted a science mapping approach involving bibliometric and scientometric analysis of 407 construction EHS publications from the Scopus database with the VOSviewer software. The study is based on journal articles from the Scopus database without restriction to any time range.

The main focus of construction EHS research identified in the study includes sustainability-related studies, risk-related, environmental issues, EHS management, integrated management systems studies, health and safety related and EHS in the construction process. Some emerging areas also identified include productivity, design, culture, social sustainability and machine learning. The most influential and productive publication sources, countries/regions and EHS publications with the highest impact were also determined.

Documents published in the Scopus database were considered for analysis because of the wider coverage of the database. Journal articles written in English language represent the inclusion criteria, whereas other documents were excluded from the analysis. The study also limited the search to articles with the engineering subject area.

The research findings will enlighten stakeholders and practitioners on the focal knowledge areas in the EHS research domain, which are vital for enhancing EHS in the industry.

To the best of the authors’ knowledge, this review-based study is the first attempt to internationally conduct a science mapping on extant literature in the EHS research domain through bibliometric and scientometric assessments.

This study aims to examine how the Information Technology (IT) sector in India is changing sporadically to be relevant to be able to meet the changing demands. Companies are striving hard to be able to leverage any such factor that adds to the competitive advantage needed to survive in this dynamic market. Therefore, an organization has to be able to keep innovation as its primary objective.

This study used a cross-sectional research design and the data from 303 IT professionals were used to validate the relationships among psychological capital (PSC), cognitive diversity (COD), temporal ambidexterity (TEA), innovative work behaviour (IWB) and adaptive performance (ADP). Hypotheses testing was done through the SEM and mediation analysis was conducted using bootstrap estimation in SPSS AMOS.

The results suggest that PSC significantly affects both IWB and ADP. COD has a significant effect only on IWB. In addition, directly impacts ADP. Mediation analysis indicates that COD has full mediation between the relationship of IWB and ADP, whereas PSC has a partial mediation. However, TEA has no mediation indicating that an employee needs to have support from his organization to be ambidextrous.

This study shows how significant innovation and IWBs are in the context of the IT sector and how positive thinking, a diverse set of people and the balance between short-term and long-term goals could promote IWBs in an individual leading to better ADP.

This paper aims to analyze the time-varying dynamic connectedness among environmental, social and governance (ESG)-compliant firms, Fintech-based firms and artificial intelligence (AI) firm’s stocks.

To examine the spillover from globally leading companies that systematically follow ESG reporting and standards into their financial books to top AI-based and Fintech-based companies, we use the daily observation extending from December 31, 2019 to October 9, 2023. For the empirical investigation, Diebold and Yilmaz (2012) model and Baruník and Křehlík (2018) model are employed.

An intriguing observation is found for both recipient and transmission as Northrop Grumman remains the least shock transmitter and receiver among all constituent markets irrespective of two different used models. On this note, Northrop Grumman can be classified among the safest stock comparatively which has to be held in short, medium and long run to mitigate the risk.

After extensive existing literature review and to the best of the authors knowledge, it is a novel study that examines the dynamic connectedness among ESG, Fintech and AI stocks covering two unprecedented events like the COVID-19 outbreak and the Russia–Ukraine invasion.

This study uses the time-varying parameter vector autoregressive (TVP-VAR) frequency connectedness approach to examine the interconnectedness between artificial intelligence (AI)-related financial assets and Islamic banking indices in financial markets. It reveals linkages across different market segments and their influence on spillovers between segments at different investment horizons.

The research methodology involves using the TVP-VAR model. This model allows the authors to analyze return spillovers across different time frames by capturing the dynamic nature of the relationships between variables. The authors also consider various global factors in the regression analysis for rigor (Chatziantoniou et al., 2023).

This research shows that short-term changes impact extreme risk interconnectedness more than medium- or long-term changes. Well-established market indices like AI-related stocks (MSFT, GOOG and NVDA) and Islamic banks (Saudi Arabia, UAE) consistently contribute to or transmit returns. In contrast, most AI-related tokens and Asian Islamic banks tend to receive shocks. Two indices related to gold and the uncertainty of the US dollar demonstrate potential for hedging and predictability in interconnectedness.

The results emphasize the vital role of short-term changes in diversifying a portfolio and managing risks, providing valuable insights for financial analysts and professionals in AI-related finance, Islamic banking and portfolio management.

The rising importance of AI-related stocks and tokens in investing has raised concerns about their compatibility with traditional financial instruments, especially in Islamic finance (Rabbani et al., 2023; Darehshiri et al., 2022; Yousaf et al., 2022). This paper examines the connections among AI-related stocks, AI-related tokens and Islamic banking indices to shed light on their correlations and potential impacts on the financial landscape.

Video gaming has become a popular leisure-time activity with two to three billion users worldwide (Newzoo, 2017; Vuong et al., 2021). Although existing knowledge shows its relationship with anger and aggression, the present study aims to extend this focus by assessing whether anger expression mediates the association of gaming addition with social interaction among Pakistani adolescent boys.

A sample of 300 adolescent boys (M age = 14.6, SD = 1.2) from private schools was selected. The participants were assessed on Anger Expression Scale (Shafaqat, 2016), Social Interaction and Technology Use Questionnaire (Henderson et al., 1999) and Game Addiction Scale (Lemmens et al., 2009) to assess their levels of anger expression, social interaction and gaming addiction.

Analysis revealed that gaming addiction and anger expression were significantly and negatively related to social interaction. Gaming addiction was positively correlated with anger expression. Mediation analyses showed that anger expression significantly explained the negative link between gaming addiction and social interaction.

The study highlights anger and lack of social interaction as important consequences of gaming addiction in adolescent boys.

This study is designed to examine the dynamic interrelationships between four cryptocurrencies (Bitcoin, Ethereum, Dogecoin and Cardano) and the Indian equity market. Additionally, the study seeks to investigate the potential safe haven, hedge and diversification uses of these digital currencies within the Indian equity market.

This study employs the wavelet approach to examine the time-varying volatility of the studied assets and the lead-lag relationship between stocks and cryptocurrencies. The authors execute the entire analysis using daily data from 1st October 2017 to 30th September 2023.

The result of the study shows that financial distress due to the pandemic and the Russian invasion of Ukraine have a negative effect on the Indian equities and cryptocurrency markets, escalating their price volatility. Also, the connectedness between the returns of stock and digital currency exhibits a strong positive relationship during periods of financial distress. Additionally, cryptocurrencies serve as a tool of diversification or hedging in the Indian equities markets during normal financial circumstances, but they do not serve as a diversifier or safe haven during periods of financial turmoil.

This study contributes to understanding the relationship between the Indian equity market and four cryptocurrencies using wavelet techniques in the time and frequency domains, considering both normal and crisis times. This can offer valuable insights into the potential of cryptocurrencies inside the Indian equities markets, mainly with respect to varying financial conditions and investment horizons.