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Disclosure and transparency are major pillars of corporate governance which need to be greatly promoted in Egypt. This research aims to understand how different kinds of institutional investors affect levels of voluntary disclosure and transparency.

The research was conducted on the most active Egyptian companies over a period of five years. A voluntary disclosure checklist was first developed to assess levels of voluntary disclosure and transparency.

Empirical results support significant positive impacts of both bank ownership and foreign ownership on voluntary disclosure and transparency. Among the four firm characteristics controlled for in the research, firm size was the only one with a highly significant positive impact on voluntary disclosure and transparency.

The results of this research may not be generalized to all companies, as it was only conducted on the most active firms on the Egyptian Exchange. Therefore, it is recommended that future researches integrate a more diversified sample.

The research provides empirical evidence that institutional investors are not a homogeneous group and that different kinds of institutional ownership impact differently on voluntary disclosure and transparency. As such, some institutional investors are more influential than others when it comes to increasing corporate voluntary disclosure and transparency and in reducing agency problems.

This research offers assistance to policy makers interested in enhancing corporate disclosure and transparency. It is particularly important during any adjustment to ownership policies in Egypt.

This paper aims to study the effect of internal branding on brand supporting behaviour (in-role and extra-role) of bank employees in Egypt. It proposes a model which examines the relationship between internal branding and employees’ brand supporting behavior, mediated by employees’ role clarity, affective commitment and continuance commitment, to provide insights into the way in which employees can become brand champions.

A single cross-sectional descriptive research was employed. A questionnaire was used to collect data from 400 frontline bank employees. Confirmatory factor analysis was used to test the validity of the scales, and structural equation modelling was used to test the research hypotheses.

The results showed that internal branding did not have a direct significant impact on employees’ in-role and extra-role behaviour. However, that impact only took place through employees’ role clarity and their affective commitment.

The findings suggest that banks can differentiate their offers and build powerful corporate brands through their employees’ brand supporting behaviour. Therefore, bank managers need to consider internal branding within the context of a corporate marketing orientation. Moreover, enhancing employees’ role clarity and affective commitment will ensure sustainable brand supporting behaviour.

This research is the first quantitative study to examine the impact of role clarity and continuance commitment as possible mediators to the proposed relationship. It further adds up to the internal branding literature, which is mostly qualitative or conceptual and thus suffers from limited conclusive evidence in terms of internal branding benefits and practical implications.

This paper aims to investigate the impact of perceived risk, ethical judgement, value consciousness, susceptibility to social influence and neutralisation on counterfeit clothes and accessories purchase intention in Egypt.

A single cross-sectional survey was conducted. Questionnaires were used to collect data from 361 counterfeit buyers in Egypt. To test the hypotheses, partial least squares-structural equation model was applied.

The results indicate that neutralisation, perceived risk and susceptibility to social influence significantly impact attitudes towards counterfeiting and purchase intentions, whereas value consciousness impacts counterfeit purchase intention. In addition, attitudes mediate the effects of perceived risk, susceptibility to social influence and neutralisation on purchase intention.

Brand producers/retailers and the government need to adhere to a number of practices to curb counterfeit demand, mainly by tackling the neutralisation’s impacts, demonstrating various risks of counterfeiting and developing a collective attitude against counterfeiting.

This study contributes to the ethical decision-making literature by empirically testing and quantifying the impact of neutralisation on shaping counterfeit buyers’ attitudes and purchase intention.

The purpose of this paper is to study the sustainable impact of adaptive reuse of shopping malls built during communism in Kosovo.

The present study uses qualitative research using semi-structured interviews with architects, civil engineers, real estate developers and facility managers.

The study found that it is the predominant opinion of respondents that the economic impact of adaptive reuse of old shopping malls in Kosovo is reflected through extension of useful life of the malls, lower cost of reuse vs demolition, economic and tourism development of the neighborhood, job creation and increase of property prices in the surrounding area. In addition, the study found that it is the predominant opinion of respondents that by adaptive reuse of old shopping malls, the revitalization and social dynamism of the surrounding area will be improved and collective memory and identity of these shopping malls will be extended, including the increased traffic, space utilization and security. The study concludes that operational CO₂ emission of the old shopping malls will be reduced after their sustainable adaptation and also the embodied energy of the building materials will be reused.

The study has several implications. For real estate developers, it shows that is less costly to adapt and refurbish rather than redevelop. For authorities, it shows that by adapting old communist shopping malls, they would extend the collective memory of those locations, improve the social life and utilization of public spaces in the surrounding areas. The final implication is for municipal authorities and environmentalists that but allowing adaptation rather than demolition and redevelopment the embodied CO₂ emission will be significantly reduced.

The study is the first qualitative study about the impact of adaptive reuse of old communist style commercial centers in Kosovo.

The research aims to profoundly investigate the correlation between uncertainty-fear against COVID-19, corporate social responsibility (CSR) and labor practices issues based on ISO 26000.

Partial least squares structural equation modeling (PLS-SEM) was adopted for data analysis and hypotheses testing on a sample of 304 managers and employees in the Egyptian small and medium enterprises (SMEs).

Preliminary results indicate that the uncertainty-fear against COVID-19 positively affects CSR practices in SMEs. CSR positively impacts labor practices dimensions. However, CSR has an insignificant effect on the social protection and work condition dimension. Also, CSR has a significant mediating role in the association between uncertainty-fear toward the pandemic and labor practices. But, this relation is insignificant regarding social protection and work condition dimension.

Managers could develop a consistent strategy for applying CSR practices, providing clear information and focusing on their procedures to protect their workforce during COVID-19. Governments should impose policies to guarantee that all employees have the same opportunities and not discriminate directly or indirectly in any labor practice.

Based on both the “stakeholder” and “social-cognitive” theories, this study shed light on the optimistic side of the COVID-19 pandemic, as it also brings the concepts of social responsibility, sustainability and green practices back into the light, which helps in solving labor issues.

This paper reviews extant studies on bioclimatic architecture with a view of revealing the focus areas of past studies and mapping out future research directions useful in achieving building energy efficiency.

A mixed-method systematic review that integrates quantitative and qualitative analysis was adopted. The bibliographic data were extracted from the Scopus database, and a scientometric analysis was conducted to analyse the data quantitatively. Qualitative content analysis is then presented, which provided a basis for mapping out trends and gaps in current knowledge.

It is observed that there has been a rise in the number of studies on bioclimatic architecture over the last two decades. Past studies have focused on sustainability, building performance simulation, building climatology and energy use, solar energy applications and passive cooling. Artificial intelligence, algorithm coupling and acoustic comfort were some of the emerging areas discovered in this study.

The study reveals research gaps that researchers can investigate.

The information provided can help the building industry stakeholders in decision-making. It serves as a guideline for maximising the potential benefits of adopting bioclimatic designs in the building industry. Furthermore, it provides references that aid policy formulation for government agencies and corporate organisations.

The study fills the literature gap caused by the need for a holistic literature review that relates bioclimatic architecture and its energy efficiency implications. It is also the first study on bioclimatic architecture that adopts a mix of scientometric and qualitative analysis for analysing past studies on bioclimatic architecture.

This chapter dives deeper into how the circular economy is important for the tourism industry in the United Arab Emirates (UAE). In a region known for its remarkable growth and innovative endeavors, this chapter meticulously investigates how the principles of the circular economy hold the potential to not only shape the trajectory of sustainable development but also to become a catalyst for heightened economic growth and an embodiment of environmental stewardship within the UAE's dynamic tourism sector. It begins by explaining the multifaceted concept of the circular economy and its compelling relevance to the diverse realm of tourism. It also emphasizes the role of community involvement in making these principles work. The chapter showcases successful case studies in UAE's tourism sector, from eco-friendly hotels to innovative food services and community-based tourism. Finally, it ends with recommendations for stakeholders to work together for sustainable tourism development. As the chapter draws toward a conclusion, it ends with a collection of recommendations that underscore the essence of collaborative engagement among stakeholders – a driving force that is poised to propel the narrative of sustainable tourism development forward with unwavering resolve and unwavering impact.

Exploiting the mandatory provision of integrated reporting in South Africa, this paper aims to investigate whether this regulatory switch from the conventional annual report is associated with differences in the level of textual risk disclosure (TRD). This paper also examines the economic usefulness of this regulatory change by observing the impact of TRD on the complying firms’ market values.

Archival data are collected and examined using time-series difference design and difference-in-differences design.

The authors find that the level of TRD within the mandatory integrated reporting is significantly lower than that of annual reports. The authors find that the impact of TRD in integrated reporting on market value compared to that of annual reports is statistically not different from zero. The authors’ further analyses suggest that corporate governance effectiveness is not a moderating factor to the study results. The results are robust to comparisons with the voluntary adoption of integrated reporting in the UK.

Collectively, the study results suggest that managers’ adherence to the mandatory provision of integrated reporting has significantly decreased the level of (voluntary) TRD they tended to convey within the conventional annual reports, resulting in a trivial impact on market value. These unintended consequences should be of interest to the International Integrated Reporting Council and other bodies interested in integrated reporting.

This paper aims to provide the integrated model with artificial intelligence (AI) awareness for the betterment of the higher education system in crisis i.e. fear of contagious viruses (different kinds of flu, monkeypox, chickenpox, COVID-19, etc.) corollaries in developing nations where the quality of education depends on teachers’ commitment, stress and the turnover intention.

This empirical investigation employs a self-administered survey distributed among the faculty members within higher education institutions (HEIs) of the Punjab province and the Federal Capital Territory (FCT) Islamabad, Pakistan. The final sample of 622 faculty members was collected through convenience sampling, and structural equation modeling was performed with SmartPLS to assess the proposed model.

The study reveals that remote work significantly enhances organizational commitment while concurrently lowering the turnover intention. Conversely, perceived work stress negatively impacts organizational commitment but positively influences turnover intention. Organizational commitment partially mediates between perceived work stress and turnover intention but exhibited no mediation between remote work and turnover intention. Notably, fear of contagious viruses and AI awareness positively moderate and amplify both the perceived work stress with turnover intention and remote working with organizational commitment, respectively.

The current study extends the AI-mediated social exchange theory (MET) by observing faculty members of HEIs in the context of remote working, perceived work stress, commitment, turnover intention, fear of contagious viruses and AI awareness. Moreover, the successful application of AI-MET extended the researcher’s understanding of quality education in crisis.

The study offers several contributions including applications of technical skills with AI awareness among faculty members to provide quality education for society’s welfare. Moreover, HEIs should arrange training programs for performance enhancement.

This research provided a quality-based model for HEIs for developing nations to deal with forthcoming calamities of contagious viruses and deliver quality education through remote working during lockdown. Nowadays, off-campus education during calamity situations has been an alternative to on-campus education. Therefore, HEIs must introduce AI awareness to increase the dedication of faculty members toward society’s welfare with the utilization of full effort.

Artificial Intelligence (AI) technology, having powerful capabilities and rapid development, has been able to move the structures of businesses and organizational processes towards intelligent automation. The role of digital transformation in universities and educational institutions has an increasing trend. New business structures and the digitization of processes, other than the advantages they bring about, might have different effects on the environment and sustainability. This study aims to identify the effective factors on AI adoption and the effect of using this technology in educational institutions and universities on their sustainable performance.

This research is applied using a quantitative approach. Universities selected for the study were ranked by Quacquarelli Symonds (QS). Of the 111 QS listed universities in the Middle East in 2023, 30 universities were randomly selected, and the research questionnaire was emailed to 50 people (administrative, educational and research staff) from each university. Information related to the level of AI technology acceptance and use was collected using a questionnaire among the university staff and faculty members; moreover, their relationship with universities’ sustainable performance scores was assessed. Path analysis and Smart PLS software have been used for data analysis.

The research findings showed that factors of technology performance, enjoyment, trust, social influence and organizational capabilities all have positive effect on AI adoption at universities. Also, the adoption of AI is considered as an effective factor in improving university sustainable performance. Therefore, based on exact data analysis using AI, universities can manage their activities and better control their environmental performance. Also, the use of AI can be effective in the availability to sustainable education in universities and the establishment of social justice in society. Accordingly, to facilitate executive processes and decision-making, policymakers in the field of science and university principals can improve administrative, educational and research processes via investing on AI, in addition to improving environmental activities and sustainable development.

The theoretical contribution of this research, other than designing an AI acceptance model for universities includes evaluating the relationship between using AI and university sustainable performance.