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Despite the growing emphasis on sustainability and the need to manage environmental, social, and governance (ESG) risks, the direct relationship between enterprise risk management (ERM) and green growth (GG) has not been investigated. This study seeks to fill this gap by examining the effect of ERM on the GG of oil and gas (O&G) companies in Malaysia.

The study used panel data regression models to analyze panel data from 2012 to 2021. For computing GG, we adapted the Organization for Economic Cooperation and Development’s (OECD) GG framework. ERM is computed using COSO and WBCSD guidelines for ESG-related risks. Weighted content analysis is used to measure ERM and GG

The findings derived from the content and descriptive statistics analyses indicate a consistent and ongoing rise in the adoption of ERM practices over time. However, some companies are still in the initial stages of incorporating ERM to address ESG risks. The study’s findings unequivocally establish a substantial and positive relationship between ERM and GG. ERM drives GG by significantly influencing its environmental and resource productivity dimensions. The study further reveals that the impact of ERM on economic opportunities and policy responses, as well as the natural asset base, is statistically significant, albeit with relatively lower coefficient values.

To enhance the legitimacy of organizations and foster positive stakeholder relationships, regulators, governments, and policymakers should actively promote the adoption of ERM standards that specifically address ESG risks, as outlined by COSO and WBCSD. This strategic alignment with risk management practices will ultimately contribute to improving green growth for organizations.

To the best of the authors' knowledge, this is the first study examining ERM’s effect on GG. The study adds to the existing literature by focusing on ERM’s role in a company’s GG. It clarifies ERM’s significant effect on diminishing emerging ESG risks and advancing GG

Intellectual capital (IC) is a paramount resource for competitiveness in the knowledge-based financial sectors of the economy. As financial technology advances, specifically in the banking industry, it is vital to understand the effect of IC on financial performance. This study aims to investigate the effect of IC on return on equity (ROE), with a unique emphasis on the moderating role of board attributes. Previous studies have overlooked this moderating role.

The study sample consists of 17 banks and a panel data set spanning 2016–2021, extracted from annual reports. Antel Pulic’s value-added intellectual coefficient (VAIC) model is used to compute IC. To analyze the data, a generalized least squares analysis is conducted. The robustness of the analysis is ensured by using the two-stage least squares (2SLS) econometric technique.

The findings indicate that both the VAIC and human capital efficiency (HCE) have a significant impact on the ROE of banks. In terms of moderation, it is observed that board size (BS) exerts a negative effect on the association between VAIC, HCE, structural capital efficiency and ROE. Additionally, BS positively compounds the connection between capital employed efficiency and ROE. Similarly, the presence of independent directors (IND) significantly moderates the effects of VAIC and its components on the ROE of banks in Pakistan.

Banks should focus on the HCE for a higher ROE. Moreover, banks ought to prioritize appointing more independent directors in the boardroom for effective utilization of IC and greater ROE.

The findings of the study, which analyzed data from Pakistan’s banking sector, are original and provide additional insights into the literature on IC and board attributes.

The primary objective of this research is to conceptualize the integration of enterprise risk management (ERM) as a mechanism to enhance the connection between corporate sustainability (CS) reporting and financial performance. This study suggests that future researchers should validate the proposed conceptualization by conducting a comprehensive content analysis of sustainability reports of Malaysian oil and gas companies. This analysis will allow for the collection of pertinent data regarding CS reporting and ERM implementation. The present study takes a comprehensive approach by integrating legitimacy, stakeholder, and resource-based view (RBV) theories, proposing a robust conceptual design that emphasizes the role of ERM in the connection between CS reporting and firm performance. Drawing on theoretical foundations, this study proposes that CS reporting will have a direct effect on financial performance. Moreover, the integration of ERM serves to strengthen the nexus between CS reporting and financial performance. This study offers valuable insights for stakeholders in the oil and gas sector by providing strategic guidance to enhance financial performance not only through CS reporting but also by implementing ERM. Moreover, the framework proposed in this study is expected to bring tangible and intangible benefits to corporations, including reducing information asymmetry, improving the quality of disclosure, and creating value within the field of CS. The proposed conceptual framework holds great significance as it enhances the applicability of legitimacy, stakeholder, and RBV theories, while also creating value for stakeholders through CS reporting and the adoption of risk management practices to enhance financial performance.

This study aims to contribute to the scholarly discourse on the future of money, particularly within the context of Islamic principles. The focus is on examining the intricate intersections of financial development, technological advancements and the emerging metaverse. The research intends to explore the holistic framework encompassing regulatory dynamics, technological infrastructure, consumer trust, Sharia compliance and the metaverse.

The research design incorporates a comprehensive approach, using various elements such as regulatory dynamics, technological infrastructure, consumer trust, Sharia compliance and the metaverse. Data collection involves a questionnaire administered to 318 respondents in the UAE. The methodology uses structural equation modeling – partial least squares (SEM-PLS) to assess the research model and test hypotheses.

The results from the Smart PLS path analysis indicate noteworthy findings. There are significant impacts of fintech adoption, regulatory environments, technological infrastructure and customer trust on the competitiveness of Fintech solutions. Importantly, Sharia compliance emerges as a crucial contextual filter, influencing the interplay between Sharia compliance, fintech adoption and fintech competitiveness. The study provides theoretical insights by emphasizing the pivotal role of Sharia compliance in the dynamics of fintech adoption.

This study contributes original insights to the existing body of knowledge. By exploring the multifaceted connections between financial development, technological advancements and the metaverse within the Islamic context, the research offers a unique and comprehensive perspective. The emphasis on the holistic framework that considers regulatory dynamics, technological infrastructure, consumer trust and Sharia compliance adds originality to the understanding of factors influencing the competition and sustainability of Islamic fintech solutions in the UAE.

Remuneration policies may differ from country to country, and their effect on bank stability could be due to the legal framework. Therefore, this study aims to investigate how the legal system impacts the relationship between CEO compensation and bank stability across countries.

To test the study hypotheses, the authors use panel data of 74 banks operating in ten OECD countries during the period 2009–2016 and apply the generalized moments method regression model to better remediate the endogeneity problem.

The findings confirm that a country’s banking regulations significantly affect its bank stability. Common law countries have less bank stability than civil law countries. This result can be interpreted by the fact that, in common-law countries, banks’ CEO are strongly protected by the law, so they allocate a large part of bank assets to risky loans to improve their variable remuneration.

The research can help policymakers understand bank stability in one country. Any legal reform would require prior knowledge of how risk-taking may arise in executive compensation.

The contribution is to explain the controversial effect of executive compensation on bank stability in the framework of legal theory. The authors argue that regulators should monitor compensation structures and that the country’s legal origin of law shapes the CEO compensation structure and is a determinant of bank stability. To the best of the authors’ knowledge, there are no studies exploring this field. So, this study tries to shed more light on the dark side of CEOs’ behavior when undertaking risky projects to maximize their remuneration.

The purpose of this study is to comprehensively examine the ethical implications surrounding generative artificial intelligence (AI).

Leveraging a novel methodological approach, the study curates a corpus of 364 documents from Scopus spanning 2022 to 2024. Using the term frequency-inverse document frequency (TF-IDF) and structural topic modeling (STM), it quantitatively dissects the thematic essence of the ethical discourse in generative AI across diverse domains, including education, healthcare, businesses and scientific research.

The results reveal a diverse range of ethical concerns across various sectors impacted by generative AI. In academia, the primary focus is on issues of authenticity and intellectual property, highlighting the challenges of AI-generated content in maintaining academic integrity. In the healthcare sector, the emphasis shifts to the ethical implications of AI in medical decision-making and patient privacy, reflecting concerns about the reliability and security of AI-generated medical advice. The study also uncovers significant ethical discussions in educational and financial settings, demonstrating the broad impact of generative AI on societal and professional practices.

This study provides a foundation for crafting targeted ethical guidelines and regulations for generative AI, informed by a systematic analysis using STM. It highlights the need for dynamic governance and continual monitoring of AI’s evolving ethical landscape, offering a model for future research and policymaking in diverse fields.

The study introduces a unique methodological combination of TF-IDF and STM to analyze a large academic corpus, offering new insights into the ethical implications of generative AI across multiple domains.

During the past few years, social media has faced the challenge of maintaining its user base. Reports show that the social media giants such as Facebook and Twitter experienced a decline in their users. Taking WhatsApp's recent change of its terms of use as the case of this study and using the push-pull-mooring model and a configurational perspective, this study aims to identify pathways for switching intentions.

Data were collected from 624 WhatsApp users recruited from Amazon Mechanical Turk and analyzed using fuzzy set qualitative comparative analysis (fsQCA).

The findings identify seven configurations for high switching intentions and four configurations for low intentions to switch. Firm reputation and critical mass increase intention to switch, while low firm reputation and absence of attractive alternatives hinder switching.

This study extends extant literature on social media migration by identifying configurations that result in high and low switching intention among messaging applications.

The study identifies factors the technology service providers should consider to attract new users and retain existing users.

This study complements the extant literature on switching intention that explains the phenomenon based on a net-effect approach by offering an alternative view that focuses on the existence of multiple pathways to social media switching. It further advances the authors’ understanding of the relevant importance of switching factors.

Technological advancement has forced academic libraries to change their traditional services and routines by adopting emerging technologies to respond to the changing information needs of their users who are now more technologically inclined and prefer to access information remotely and in a timely manner. Smart technologies are the recent trends in academic libraries. This research aims to investigate the level of smart information service implementation at academic libraries in Jordan. It also aimed to investigate the correlation between the level of smart information services offered by the libraries and the level of digital competencies among the library staff.

This research is designed using survey design to collect comprehensive information from the study participants. A questionnaire was disseminated to 340 respondents, and 246 questionnaires were returned and were suitable for analysis with a response rate of 72.4%.

The results indicated a moderate level of smart information service offered by academic libraries, as well as a moderate level of digital skills associated with the advocacy of smart information services. The results also indicated a strong and positive relationship between the level of smart information services at the investigated libraries and the level of digital competencies among the librarians.

The findings will help other academic libraries understand how to respond to the emergent change in users’ information-seeking behavior by understanding their available human resources competencies and the requirement to undergo this emergent change.

This paper provides insights and practical solutions for academic libraries in response to global information trends based on users’ behaviors. This research was conducted in Jordan as one of the developing countries and hence it provides insights of the situation there. It will help academic libraries in Jordan and the region to handle and cope with the challenges associated with technology acceptance based on its staff level of digital competencies. The contribution of this research that it was done in a developing country where progress in the filed can be considered slow because of many factors, mainly economics, where institutions focus on essential library objectives, which are information resources development and databases subscriptions.

The aim of this study is to investigate how the demographics and appearance cues of potential social engineers influence the likelihood that targets will trust them and accept security risk.

Data were collected through an online survey of 635 participants, including 322 participants from Arab countries and 313 participants from the UK. The survey presented scenarios with 16 personas who offered participants the use of their mobile internet hotspot. These personas were characterized by combinations of age (young vs aged), gender (male vs female), ethnicity (Arab vs UK) and look formality (casual vs formal). The study measured both participants’ offer acceptance and trust in the persona.

Results indicated a higher likelihood of offer acceptance from female and aged personas, as well as a greater trust in these groups. Arab participants showed a preference for personas with Arabian ethnic features. In both samples, trust and acceptance were influenced by the persona’s appearance, which was found to be gender-dependent; with female personas in casual attire and male personas in formal attire being trusted more in comparison to female with formal attire and male with informal, respectively.

Findings highlight the importance of incorporating awareness of appearance-based biases in cybersecurity training, suggesting the need for culturally sensitive training programs to enhance defense against social engineering.

This study distinguishes itself by elucidating the influence of social engineers’ demographic and appearance cues on the likelihood of individuals to take security risks, thus addressing a significant gap in the literature which has traditionally emphasized the profiles of targets.

This study aims to find whether sukuk (Islamic bonds) possess a safe haven property for investors or not.

To analyze this statement, the study used data from MSCI World conventional and MSCI World Islamic indices from August 17, 2012 to June 8, 2022. The study used the generalized autoregressive conditional heteroskedasticity (GARCH) variance technique, the most common technique used in stock data analysis.

The results dictate the absence of sukuk as a safe haven for investors as both the conventional and Islamic markets show decoupling behavior. The study finds concrete evidence of a strong association between the debt-based bond market and the Islamic sukuk market. As these markets mostly like to move in a parallel direction, a recession in a conventional bond market likely means a recession in the Islamic sukuk market.

This study is unique in incorporating the MSCI World Islamic Index and other Islamic indices of several Muslim countries, which was absent in previous research. Second, this study is unique because it adds a separate regression for the COVID era to show whether the movement of indices changed during regression.