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Prioritizing the shift from a traditional economy towards complex integrated economies has been the top priority among policymakers to achieve sustainable development goals (SDGs). Countries involved in economic integration must safeguard their labor markets. The Developing-8 (D-8) is an alliance of economic cooperation including Bangladesh, Egypt, Indonesia, Iran, Malaysia, Nigeria, Pakistan and Turkey, all of which are among the world’s largest labor-abundant countries but have insufficient attention toward labor market policies, especially in gender roles. This issue motivated this study, which aims to investigate the impact of economic complexity on trade through with the interaction of gender equality.

The annual data for the panel of D-8 countries from 1990 to 2020 were collected. The Driscoll and Kraay (D-K) regression was employed for empirical investigation after observing the presence of autocorrelation, heteroscedasticity and cross-sectional dependency (CSD) across the sample.

Findings show that the economic complexity index (ECI) and gender equality (GE) have a significant impact on trade openness (TO). Moreover, the interaction of GE and ECI strengthens the relationship between ECI and TO. Therefore, both factors worked together to enhance the trading system by supplying the nation with highly sophisticated and complex products.

Policymakers in D-8 countries should enable equal access to resources, investment and decision-making for both men and women. This leads toward stubble, innovative and complex products that enhance trade and goodwill in the international market.

This study incorporated GE as an interaction term in economic complexity and TO in D-8 countries for the first time, to the best of the authors' knowledge.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2023-0908

Given the remarkable increase in entrepreneurial activities initiated by women in the Egyptian context in addition to the scarcity of empirical studies on digital self-employment there, the authors of the present paper aim to identify what motivates women to engage in digital entrepreneurship, and to identify how those women establish their digital entrepreneurial activities.

The authors employed a qualitative research method through semi-structured interviews with 30 women entrepreneurs who own and manage digital businesses. Thematic analysis was subsequently used to determine the main ideas in the transcripts.

The authors have found that enjoying absolute independence, securing more time for family, guaranteeing an independent source of income in addition to the ease of accessing extensive online markets are the main motives behind the engagement of women in the Egyptian context in digital entrepreneurship activities. Moreover, the authors have also asserted that the minimal training and government support stimulate women entrepreneurs there to start and continue their digital business activities informally.

This paper contributes by filling a gap in entrepreneurship studies in which empirical studies on establishing and managing digital entrepreneurship among women in developing economies has been limited so far.

Titanium alloys and composites have proven to contain desirable properties for use at elevated temperatures. One such material is the Ti750 composite, which can be used at temperatures up to 750°C for a brief period. This paper aims the microstructure, phase compositions, apparent porosity and hardness of both sintered and heat-treated TiC reinforced Ti750 composites for consideration in aircraft engine design.

The fabrication of TiC-reinforced Ti750 composites was achieved through spark plasma sintering (SPS). To analyze the microstructure and X-ray diffraction, a scanning electron microscope (SEM) with model number S-3400N and a D8 advance model machine were used, respectively. The microhardness of the samples was measured using a Vickers hardness tester with model HV-1000. The research incorporated three solid solution treatments: 975°C/3 h/AC, 1,010°C/3 h/AC and 1,025°C/3 h/AC, along with a solid-solution aging treatment at 1,010°C/3 h/AC + 750°C/8 h/AC. Additionally, oxidation analysis was conducted on the samples.

The microstructures contained enhanced TiC and Ti5Si3 phases in the near a-Ti matrix. The microhardness of the sintered composite was over twice that of the matrix alloy, and its porosity was reduced by about 0.35%. The sample treated at 1,010°C/3 h/AC had the highest enhanced peaks and microhardness of 1,277.1 HV. After oxidation at 800°C for 100 h, the accumulated weight of the solid solution composite at 1,010 °C/3 h/AC was the lowest (3.0 mg.cm^-2). The surface microstructure contained oxides of TiO2 and a spalling white area containing a small amount of Al₂O₃ and SiO₂.

There is limited research on Ti-Al-Sn-Zr-Mo-Si-based TMCs using a combination of the SPS method. This study used SiCp as a reinforcement for the Ti750 matrix alloy. The consolidation of SiCp and Ti750 powders using the SPS method, heat treatment of the resulting TiC reinforced Ti750 composites and study of the microstructure and properties of the composites are not found in literature or under consideration for publication in any media.

This paper aims to identify why hotel employees in the Egyptian context accept the extreme job duties resulting from hosting too many mega sporting events and what outcomes they experience as a result.

The empirical data is based on semi-structured interviews with 36 hotel employees working in reservations, front desk and events management roles in four 4-star hotels located in Cairo, the capital of Egypt. Thematic analysis was subsequently used to determine the main ideas in the interview transcripts.

The findings show that hotel employees accept the extreme job duties resulting from hosting mega sporting events for the following four reasons: linking pay with performance, difficulty finding alternative jobs, proving their occupational identity and being subject to patriotism. Furthermore, this paper highlights that the engagement of hotel employees in extreme work conditions during such mega-sporting events might be detrimental to their mental health, resulting in increased cronyism and gender bias among them.

This paper is a pioneering study to specifically investigate how hosting mega sporting events influences the extremity of work conditions for hospitality sector employees. Prior studies (to the best of the authors’ knowledge) have not theorised and empirically analysed this specific topic, especially in under-researched settings, such as developing countries in the global south.

This paper aims to capture the complex interdependences between supply chain disruptions (SCDs), SC risk mitigation strategies and firm performance in the context of disruptive events to enhance resilience for medium-sized and large firms coping with complex supply chain networks. The roles of digitalization, insurance and government support have also been addressed as potential strategies to counteract the impacts of disruptions on supply chains.

This study is based on an empirical investigation in an FMCG company – using a hybrid causal mapping technique based on the frameworks of interpretive structural modeling (ISM) and Bayesian networks (BN) – of 11 levels of relationships between SCDs (in supply, production, logistics, demand and finance), SC risk mitigation strategies (flexibility, efficiency, agility and responsiveness), insurance, government support, information and knowledge sharing, digitalization and finally the key firm performance measures (continuity, quality and financial performance).

The results of the empirical investigation reveal and describe: (1) the nature and probabilistic quantification of the lower-level relationships among the four SCDs, among the mitigation strategies and the three firm performance measures; (2) the nature and probabilistic quantification of the higher-level relationships among the impacts of SCDs, SC risk mitigation strategies and firm performance and (3) how to model and quantify the complex interdependences in single firms and their supply chains.

Our results can support managers in developing more effective decision-making models to assess and manage unfavorable events and cascade effects among different functions and processes in the context of risks and disruptions.

The unitized curtain wall system (UCWS), a symbol of modern architecture, is gaining popularity among prefabricated components. Previous studies have focused on both construction technology advances and material selection strategies to facilitate the UCWS. However, the topic of client satisfaction, which drives industry development by targeting clients' demands, has gone unnoticed. Therefore, the current study aims to investigate client satisfaction with UCWS products in Hong Kong by finding its influential factors.

A systematic review was employed to first identify the influential factors. A semi-structured interview was employed to validate the reliability of the extracted factors. The machine learning algorithm Extreme Gradient Boosting (XGBoost) and the Pearson correlation were then employed to rank the importance and correlation of factors based on the 1–5 Likert scale scores obtained through a questionnaire survey.

The findings revealed that “reduction in construction time” and “reduction in construction waste” are the most important factors and have a strong positive influence on client satisfaction.

Unlike previous studies, the present study focused on a novel research topic and introduces an objective analysis process using machine learning algorithms. The findings contribute to narrowing the knowledge gap regarding client preference for UCWS products from both individual and collaborative perspectives, providing decision-makers with an objective, quantitative and thorough reference before making investments in the curtain wall management development.

This paper aims to answer the question: To what extent should neurodiverse students experience improved access to public universities in Egypt and why?

A systematic qualitative research method was used with data collected through semi-structured interviews with 44 educators in four universities in Egypt. A thematic approach was implemented to analyze the collected data.

The addressed educators believe that greater representation of neurodiverse students in their schools should be a priority for the following four reasons: first, neurodiverse students represent a promising new market segment schools could benefit from; second, recruiting more neurodiverse students represents a chance for schools and faculties to prove the social role they can undertake; third, schools can benefit from the unique skills many neurodiverse students have, particularly in mathematical and computational skills; and fourth, the greater the representation of neurodiverse students, the more research projects and funding opportunities educators can obtain.

This paper contributes by filling a gap in diversity management, higher education and human resources management in which empirical studies on the representation of neurodiverse individuals in public universities have been limited so far.

Facilities management (FM) organizations are pivotal in enhancing the resilience of buildings against climate change impacts. While existing research delves into the adoption of digital technologies by FM organizations, there exists a gap regarding the specific utilization of artificial intelligence (AI) to address climate challenges. This study aims to investigate the drivers and barriers influencing the adoption and utilization of AI by South African FM organizations in mitigating climate change challenges.

This study focuses on South Africa, a developing nation grappling with climate change’s ramifications on its infrastructure. Through a combination of systematic literature review and an online questionnaire survey, data was collected from representatives of 85 professionally registered FM organizations in South Africa. Analysis methods employed include content analysis, Relative Importance Index (RII), and Total Interpretative Structural Modeling (TISM).

The findings reveal that regulatory compliance and a responsible supply chain serve as critical drivers for AI adoption among South African FM organizations. Conversely, policy constraints and South Africa’s energy crisis emerge as major barriers to AI adoption in combating climate change challenges within the FM sector.

This study contributes to existing knowledge by bridging the gap in understanding how AI technologies are utilized by FM organizations to address climate challenges, particularly in the context of a developing nation like South Africa. The research findings aim to inform policymakers on fostering a conducive environment for FM organizations to harness AI in fostering climate resilience in built assets.

We identify and further aggregate the most commonly engaged risk factors in dry port projects into dimensions. Noting the importance of developing a multi-perspective view of risk, we further assess the priority, interdependency and heterogeneity of the identified risk dimensions.

We identified 44 risk factors from the literature, which were aggregated via exploratory factor analysis (EFA) into 8 major risk dimensions. We employ a fuzzy-based decision-making trial and evaluation laboratory (DEMATEL) relationship map to articulate various relationships among the risk dimensions.

“Cost” emerged as the most important risk influencing the success of the dry port project, followed by “location,” “accessibility,” “infrastructural” and “operational,” which were also ranked prominently.

This study offers significant insight into the management of risk in dry port projects. By aggregating key risk factors into distinct dimensions, we develop a structured framework for effective risk assessment and management. The insights gleaned from the study extend globally, as it serves as a concrete knowledge base to understand potential barriers to successful dry port projects.

Coronavirus disease 2019 (COVID-19) is a new disease that has led to rapid and dramatic global changes. This study aims to investigate how Gulf Cooperation Council (GCC) citizens and noncitizens search for necessary information and assess available information sources, their associated awareness and anxiety levels, voluntary work, compliance with quarantine regulations and technology.

An electronic questionnaire was designed using Google Forms and distributed on Twitter and WhatsApp. In total, 1,006 responses were received.

The results showed that 75.25% of the participants were active information seekers because of their daily search for necessary information. “Formal sources,” “Social media” and “Television” were the most preferred information sources found by the study sample.

This study investigates the behavior of GCC citizens and noncitizens in searching for necessary information during the COVID-19 pandemic. In addition, it draws attention to the importance of digitization and digital preservation in building a specialized digital library for future access to pandemic-related information distributed by the government authorities and institutions in the State of Kuwait.