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This paper aims to examine the effect of corporate integrity and external assurance on Sustainability Reporting Quality (SRQ) of Malaysian public listed companies.

The study uses a longitudinal sample of 2,463 firm-year observations of non-financial firms listed on the main board of Bursa Malaysia from 2015 to 2019. The study employed panel regression that is, Fixed Effect (FE) Robust Standard Error estimation technique to test its hypotheses.

The panel regression results reveal that corporate integrity and external assurance positively and significantly influence the quality of sustainability reporting. Though the positive association shows an improvement in the SRQ of the sampled firms, it needs an improvement as the disclosure is more general and qualitative than quantitative. The present improvement in SRQ might result from some regulatory changes like the Sustainability Practice Note 9 Updates of Bursa Malaysia 2017 and the Revised MCCG Principle A to C within the same period.

The study adopts a purely quantitative approach and call for a qualitative investigation in the area in the future.

The study has policy implication for the government and regulators to strengthen compliance with the sustainability reporting guide and the Practice Note 9 Updates. It also has implication for corporate integrity and external assurance for companies, to enhance SRQ and achieve sustainable development.

The study bridged literature gaps by offering new insights and empirical evidence on the role of corporate integrity in SRQ, which has received no empirical attention in the Malaysian context.

This study aims to propose a practical, virtue-centric model of leadership based on Islamic principles. The structure of the Islamic leadership construct is validated through confirmatory factor analysis. Its relationship with performance and organizational commitment is examined and the mediating role of organizational commitment is assessed.

Islamic leadership model is tested using confirmatory factor analysis with data collected from employees working in the services sector in Turkey. Relationships between Islamic leadership, organizational commitment and performance are examined through a path analysis.

The factor analysis results presented a good fit for the proposed Islamic leadership model, which consists of wisdom, religiosity, justice and kindness dimensions. Regarding path analysis, findings indicated a positive relationship between Islamic leadership and job performance. Moreover, organizational commitment partially mediated the relationship between Islamic leadership and job performance.

Previous studies on Islamic leadership contain a very little number of empirical models. This study proposes a valuable empirical model of Islamic leadership consisting of moral values, spirituality, ethics and wisdom. In addition, the proposed model is supported with empirical pieces of evidence. Evidence of the partial mediating role of organizational commitment between Islamic leadership and job performance is also revealed by the study.

As host to over one million Syrian refugees, Lebanon continues to experience challenges addressing the needs of refugee families. This research examined the experiences of Syrian families with the refugee support system in Lebanon. The purpose of this study was to better understand the strengths and gaps in existing mechanisms of support for these Syrian families, including informal support from family, neighbors and community and more formalized support provided through entities such as nongovernmental organizations and United Nations agencies.

Data were collected from 46 families displaced by the war and living in Lebanon (N = 351 individuals within 46 families). Collaborative family interviews were conducted with parents, children and often extended family.

The data identified both strengths and gaps in the refugee support system in Lebanon. Gaps in the refugee support system included inadequate housing, a lack of financial and economic support, challenges with a lack of psychosocial support for pregnant women and support for disabled youth. Despite these challenges, families and community workers reported informal community support as a strong mediator of the challenges in Lebanon. Furthermore, the data find that organizations working with Syrian families are utilizing informal community support through capacity building, to create more effective and sustainable support services.

This study provides an overview of strengths and gaps in supports identified by refugees themselves. The research will inform the development and improvement of better support systems in Lebanon and in other refugee–hosting contexts.

This paper aims to provide a systematic literature review (SLR) on contemporary cardinal money mule issues.

This paper reviews the most common money mule themes in perpetrating financial crime activities, especially its roles, recruitment and awareness. A systematic review protocol called preferred reporting items for systematic review and meta-analysis protocols is adopted for this study.

Money mules are used by organized criminal groups (OCG) or fraudster to launder illicit funds from outrageous criminal activities. They allow their accounts to be used for money laundering by OCG. The attacker, OCG or fraudsters would layer the stolen funds using money mule accounts. These money mules are recruited using various approaches, oftentimes deceived by opulent lifestyles to captivate the interest of potential money mules.

This paper presents money mule awareness needed by accountant, bank employees and the society. It is an unprecedented SLR on money mule. This paper will be beneficial for future money mule researchers, enforcement agencies and practitioners in banking industry.

This paper aims to examine the impact of the assurance and advisory role of internal audit (ADRIA) on organisational, human and technical proactive measures to enhance cybersecurity (CS).

The questionnaire was used to collect data for 97 internal auditors (IAu) from the Gulf Cooperation Council countries. The authors used partial least squares (PLS) to test the hypotheses.

The results show a positive effect of the ADRIA on each of the organisational proactive measures, human proactive measures and technical proactive measures to enhance CS. The study also found a positive effect of the confirmatory role of IA on both human proactive measures and technical proactive measures to enhance CS. No effect of the confirmatory role of IA on the organisational proactive measures is found.

This study focused on only three proactive measures to enhance CS, and this study was limited to the opinions of IAu. In addition, the study was limited to using regression analysis according to the PLS method.

The results of this study show that managers need to consider the influential role of IA as a value-adding activity in reducing CS risks and activating proactive measures. Also, IAu must expand its capabilities, skills and knowledge in CS auditing to provide a bold view of cyber threats. At the same time, the institutions responsible for preparing IA standards should develop standards and guidelines that help IAu to play assurance and advisory roles.

To the best of the authors’ knowledge, this is the first study of its kind that deals with the impact of the assurance and ADRIA on proactive measures to enhance CS. In addition, the study determines the nature of the advisory role and the assurance role of IA to strengthen CS.

The Kingdom of Saudi Arabia (KSA) is embracing digital transformation and e-government services, aiming to improve efficiency, accessibility and citizen-centricity. Nonetheless, the country faces challenges such as evolving cyber threats. The purpose of this study is to investigate the factors influencing cybersecurity practices to ensure the reliability and security of e-government services.

This paper investigates the multifaceted dynamics of cybersecurity practices and their impact on the quality and effectiveness of e-government services. Five key factors explored include organizational culture, technology infrastructure, adherence to standards and regulations, employee training and awareness and financial investment in cybersecurity. This study used a quantitative method to gather data from 320 participants. The researcher collected 285 completed questionnaires, excluding unusable or incomplete responses, and analyzed the final data set using partial least squares structural equation modeling.

The findings show that financial investment in cybersecurity, employee training and awareness and adherence to cybersecurity regulations significantly influence the adoption of robust cybersecurity practices. However, the relationship between organizational culture and cybersecurity practices is less straightforward. The research establishes a strong positive correlation between cybersecurity practices and e-government service quality, highlighting the role of security in fostering public trust and user satisfaction and meeting the evolving needs of citizens and businesses.

This research contributes valuable empirical evidence to the fields of e-government and cybersecurity, offering insights that can inform evidence-based policy decisions and resource allocation. By understanding the nuanced dynamics at play, Saudi Arabia is better poised to fortify its digital governance infrastructure and provide secure, high-quality e-government services to its constituents.

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.

This study presents a comprehensive investigation of turnover intention within the context of higher education, specifically focusing on private universities in Egypt, to develop a robust conceptual framework to explore this phenomenon.

The study sample comprised both male and female tenured faculty members from private universities, and data were collected through questionnaires, resulting in 396 completed responses. Statistical analysis was conducted using SPSS and partial least squares structural equation modeling (PLS-SEM) software.

The study highlights the significant impact of work-life balance (WLB) and organizational commitment on turnover intention, with job satisfaction as a mediating factor. Additionally, the research reveals that emotional intelligence (EI) does not directly influence turnover intention, but its effects are fully mediated by job satisfaction.

This research not only advances the theoretical understanding of why academics contemplate leaving their positions but also underscores the significance of this topic. Moreover, by exploring turnover intention in the private education sector of the Middle East, the study addresses a notable gap in the existing literature.

The purpose of this paper is to develop an appropriate machine learning model for predicting soil compaction degree while also examining the contribution rates of three influential factors: moisture content, electrical conductivity and temperature, towards the prediction of soil compaction degree.

Taking fine-grained soil A and B as the research object, this paper utilized the laboratory test data, including compaction parameter (moisture content), electrical parameter (electrical conductivity) and temperature, to predict soil degree of compaction based on five types of commonly used machine learning models (19 models in total). According to the prediction results, these models were preliminarily compared and further evaluated.

The Gaussian process regression model has a good effect on the prediction of degree of compaction of the two kinds of soils: the error rates of the prediction of degree of compaction for fine-grained soil A and B are within 6 and 8%, respectively. As per the order, the contribution rates manifest as: moisture content > electrical conductivity >> temperature.

By using moisture content, electrical conductivity, temperature to predict the compaction degree directly, the predicted value of the compaction degree can be obtained with higher accuracy and the detection efficiency of the compaction degree can be improved.

The current environment is unhelpful to female entrepreneurs, and they need to overcome numerous barriers when starting their own businesses. In this study, the researchers investigated the significant barriers that Pakistani female entrepreneurs require to overcome in this respect.

In this study, the researchers used a quantitative study and they used a questionnaire to survey the respondents and collect cross-sectional data. The researchers targeted female students who were undertaking bachelor’s and master’s degree programs in different Pakistani public and private sector universities. Accordingly, the researchers based this study’s findings on the usable samples received from 498 Pakistani female students.

The researchers used a structural equation model (SEM) in this study and its findings highlight that aversion to risk (ATR) has an insignificant impact on entrepreneurial inclinations (EI). In addition, fear of failure (FoF), lack of resources (LoR), aversion to hard work and stress (ASH) and the lack of social networking (LSN) have negative and insignificant effects on EI. The ATR factor has an insignificant effect on entrepreneurial success (ES), whereas FoF, LoR, ASH and LSN are negative and insignificant predictors of Pakistani female students’ ES.

This study’s findings may help Pakistani women to overcome the barriers to ES. In this respect, the researchers recommend that the Pakistan Government and policymakers develop significant strategies to provide the conducive business environment and to financially support Pakistani women to start their own businesses. Furthermore, this study’s findings contribute greatly to the vast amount of current literature and help to overcome the entrepreneurial conditions and barriers that potential entrepreneurs from advanced and developing countries experience frequently.

This study’s findings provide empirical evidence of EI and ES in Pakistan.