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This study aims to understand better the student awareness and knowledge on how the Sustainable Development Goals (SDGs) are used in higher education institutions (HEIs) to motivate students’ learning on sustainability. It is essential to consider students’ understanding of sustainability at the end of their studies to assess whether they feel prepared to apply sustainability in their daily work life.

The study has a quantitative case study design, and the specific method used is an online survey with masters’ students using the university student platform EvaSys. The study assesses approaching how students perceive the overall education integrating sustainability into programs and curricula.

The results showed that work-integrated learning (WIL) projects learning and real-life experiences as part of their studies enhanced the students’ understanding of sustainability. Moreover, the study showed that integrating an understanding of the SDGs in teaching offers universities a way to frame students’ key competencies in ways that allow them to develop their interpersonal competencies as ambassadors for sustainability in their future work life.

This study supports the argument that WIL and real-life university experiences enhance students’ key competencies critical for sustainability.

The pedagogical approach advanced in this paper addresses how WIL and real-life experiences might develop students’ key competencies on sustainability. This approach indicates that working with SDGs in teaching encourages students to promote their interpersonal competencies for sustainability.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

As an adult-learning practitioner, I am intrigued by the process of helping learners, especially leaders, develop through the affective domain. Although leaders in my experience often comprehend the lexicon of emotional intelligence (EI), incorporating EI for leadership developmenthasprovenelusive.WhileresearchsuggestsEIisdifficulttodevelopinpeople,this paper argues that leaders can do so by tapping into a higher mental and emotional state, and that such mindfulness practices can enhance leaders’ EI. Findings suggest that (a) EI positively impacts leadership effectiveness, (b) mindfulness can serve as a method for growing EI, and (c) mindfulnesscanenhance thepracticeofleadership. Thepaperoffersrecommendationsforadult- learning practitioners who create EI- and mindfulness-based training and provides directions for future research.

This study analyzes the static and dynamic risk spillover between US/Chinese stock markets, cryptocurrencies and gold using daily data from August 24, 2018, to January 29, 2021. This study provides practical policy implications for investors and portfolio managers.

The authors use the Diebold and Yilmaz (2012) spillover indices based on the forecast error variance decomposition from vector autoregression framework. This approach allows the authors to examine both return and volatility spillover before and after the COVID-19 pandemic crisis. First, the authors used a static analysis to calculate the return and volatility spillover indices. Second, the authors make a dynamic analysis based on the 30-day moving window spillover index estimation.

Generally, results show evidence of significant spillovers between markets, particularly during the COVID-19 pandemic. In addition, cryptocurrencies and gold markets are net receivers of risk. This study provides also practical policy implications for investors and portfolio managers. The reached findings suggest that the mix of Bitcoin (or Ethereum), gold and equities could offer diversification opportunities for US and Chinese investors. Gold, Bitcoin and Ethereum can be considered as safe havens or as hedging instruments during the COVID-19 crisis. In contrast, Stablecoins (Tether and TrueUSD) do not offer hedging opportunities for US and Chinese investors.

The paper's empirical contribution lies in examining both return and volatility spillover between the US and Chinese stock market indices, gold and cryptocurrencies before and after the COVID-19 pandemic crisis. This contribution goes a long way in helping investors to identify optimal diversification and hedging strategies during a crisis.

The purpose of this paper is to analyze the characteristics and dynamics of the entrepreneurship ecosystem in the ICT sector in Qatar.

The methodology of this research is based on a literature review and information collected through semistructured interviews with the different stakeholders involved in the entrepreneurship ecosystem in the ICT sector in Qatar.

The results show that two opposite forces shape the entrepreneurship ecosystem in the ICT sector in Qatar. On one hand, the strong determination and intervention of the Qatari government to diversify the economy by creating a vibrant ecosystem in the ICT sector. On the other hand, entrepreneurs in this sector are still facing some barriers and difficulties, and those issues are tightly related to Qatar's economic characteristics as a rentier state whose economy is driven by hydrocarbon resources.

These findings contribute to the clarification and critical analysis of the current dynamics of the entrepreneurship ecosystem in the ICT sector in Qatar, which would have several policy implications.

This study aims at investigating the extent of SysTrust’s framework (principles and criteria) as an internal control approach for assuring the reliability of accounting information system (AIS) were being implemented in Jordanian business organizations.

The study is based on primary data collected through a structured questionnaire from 239 out of 328 shareholdings companies. The survey units were the shareholding companies in Jordan, and the single key respondents approach was adopted. The extents of SysTrust principles were also measured. Previously validated instruments were used where required. The data were analysed using t-test and ANOVA.

The results indicated that the extent of SysTrust being implemented could be considered to be moderate at this stage. This implies that there are some variations among business organizations in terms of their level of implementing of SysTrust principles and criteria. The results also showed that the extent of SysTrust principles being implemented was varied among business organizations based on their business sector. However, there were not found varied due to their size of business and a length of time in business (experience).

This study is only conducted in Jordan as a developing country. Although Jordan is a valid indicator of prevalent factors in the wider MENA region and developing countries, the lack of external validity of this research means that any generalization of the research findings should be made with caution. Future research can be orientated to other national and cultural settings and compared with the results of this study.

The study provides evidence of the need for management to recognize the importance of the implementation of SysTrust principles and criteria as an internal control for assuring the reliability of AIS within their organizations and be aware which of these principles are appropriate to their size and industry sector.

The findings would be valuable for academic researchers, managers and professional accounting to acquire a better undemanding of the current status of the implementation of the SysTrust principles (i.e., availability, security, integrity processing, confidentiality, and privacy) as an internal control method for assuring the reliability of AIS by testing the phenomenon in Jordan as a developing country.

The purpose of this paper is to analyze the factors that make Beirut a fashion hub by studying the characteristics of creativity and the role of the different stakeholders in setting an environment that encourages creativity in Beirut.

The methodology of this research is based on a literature review and information collected through semi-structured interviews with the different stakeholders of the sector.

The research reveals three results. First, this dynamic fashion design in Beirut is explained by the international success of some Lebanese fashion designers. Second, as there is an absence of any form of governmental intervention, the development of the sector is totally based on private business initiatives. Third, the research demonstrates the importance of the local culture, knowledge exchanges and lifestyle in shaping creativity and designers’ careers in Beirut.

These findings contribute to the clarification and critical analysis of the current state of fashion design in Beirut, which would have several policy implications.

China is a major energy import powerhouse, its trade deals have significant impact on international energy trade and global energy markets. The purpose of this paper is to explore the role of energy in China’s preferential trade agreements (PTAs) and their impact on Chinese imports of oil, gas and coal.

An extended trade gravity model framework is applied to explore the dynamics of China’s annualized energy import flows from the 22 economies that have PTAs with it for the period 1995–2015.

The effect of PTAs on trade patterns varies across the product groups and agreement clauses. The dominant factor affecting trade flows of coal, crude oil and oil products is the average tariff level. Its impact is less significant for gas imports, which are more affected by policy arrangements represented by a PTA variable. The depth and scope of a PTA do not affect Chinese energy imports patterns.

This paper is focused on exploring the effect of China’s trade and foreign relations strategies on its energy imports through the prism of its PTAs. Estimating the direct impact of China’s initiatives in the areas of trade, investment, security, culture, etc., on its trade flows of energy products and other product groups using the methodological framework proposed in this study would contribute to better understanding of the issue.

The findings can assist both China and energy exporting countries that target Chinese market in better understanding the drivers of trade flows of energy products and design their PTA strategies accordingly.

This study applies the trade gravity model framework to assess the impact of specific components of preferential trade agreements – tariff reduction and depth and scope of agreement – on energy trade flows differentiated by product group.

The COVID-19 pandemic interrupts the supply chain of products around the world. The supply chains of beauty and personal care products in Bangladesh are also heavily interrupted during this pandemic. While these products are perceived as essential by mass people, retailers are struggling to get the supply of the products and maintain a smooth delivery to the people. Considering such facts, the purposes of the study are to identify how the supply of retailers of these products is interrupted and how they can overcome the interruptions to ensure supply resilience.

A case study method has been used in this study. The data has been collected through interviews from 16 retailers of beauty and personal care products.

The results show that the supply of retailers of beauty and personal care products is interrupted in several ways. These include product shortage, limited delivery service, interruption of supplier payment, limited credit facility and irregularity in product delivery. To minimize the impacts of the interruptions and enhance supply resilience, retailers can undertake several strategies including intensive interactions and developing cooperation with the distributors and manufacturers, ordering bulk quantity, formulating an adjusted credit ratio and focusing on product availability over brand preference.

The context of this study is limited to the beauty and personal care products of Bangladesh. Further study can be conducted in other countries and also supply chains of other products to enhance the generalizability of the findings of this study.

Supply interruptions are identified, and strategies are suggested to ensure the supply resilience of retailers of beauty and personal care products. If proposed strategies are implemented by retailers of these products, supply interruptions can be minimized.

The study contributes to the knowledge of the retail supply chain during a pandemic. It also contributes to the supply management and resilience of retailers. As the context is a developing country, the study also contributes to the literature on developing countries.

Technological change drives transformation in most sectors of the economy. Industry 4.0 technologies have been applied at different stages of a building’s lifecycle. However, limited studies exist on their application in real estate facilities management (REFM). This study aims to assess the existing knowledge on the topic to suggest further research directions.

Scopus-indexed literature from 2013 to 2023 was examined and visualised using VOSviewer software to output quantitative (descriptive) results. Content analysis was used to complement the quantitative findings.

Findings indicated a concentration of research in China, Norway and Italy. The knowledge areas included three clusters: lifecycle integration and management, data curation and management and organisational and management capabilities. The benefits, challenges and support strategies were highlighted.

More collaboration is needed across countries and territories on technology integration in REFM. Future research using alternative methodologies is recommended, with a focus on adopting and non-adopting REFM organisations. Further, implications for facility managers, employees, technology suppliers or vendors, training, organisations and management exist.

Further, implications for facility managers, employees, technology suppliers or vendors, training, organisations and management exist.

The study reveals the knowledge base on technology use in REFM. It adds to the evidence base on innovation and technology adoption in REFM.