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The proliferation of environmental rating tools over the past two decades has endeavoured to assist the industry in measuring sustainability. Recent changes to the International Valuation Standards (IVS) have directed valuers to consider ESG. The purpose of this study aims to examine how commonly utilized sustainability tools, which have been employed to communicate building sustainability credentials, align with the IVS categories of ESG.

The research utilises the IVS categorisation of ESG and maps sustainability tools adopted at scale by the Australian Commercial Real Estate market. The approach identifies the various attributes within the commonly utilised rating tools that align with IVS defined ESG criteria.

The mapping provides insights into the coverage of the IVS ESG criteria in the mainstream tools used in Australia. Further, the research identifies existing sustainability criteria that are relevant to the built environment, that have not been clearly identified by the IVS, but have an important role in evaluating the sustainability of commercial real estate.

For investors, occupiers and valuers, this research provides insights on how the current, commonly utilised sustainability rating tools align with the IVS-defined ESG metrics. This research assists in providing greater clarity regarding the relationship between ESG criteria and existing rating tools, which have been recently identified as key considerations in valuation practice and help to provide transparency and understanding for property stakeholders.

The importance of monitoring, reporting and enhancing transparency in ESG disclosures has emerged as a central issue with significant implications for the property industry. This research provides the first evaluation of how existing sustainability rating tools map against ESG criteria as directed in the IVS.

Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision.

Twelve students and six members of faculty in a small technology-focused university were interviewed. Thematic analysis of the interview data was combined with data collected from a survey of 44 students at the same university. Self-determination theory was applied as an analytical framework.

Three themes were identified – bespoke learning, affect and support – that significantly impact motivation and learning outcomes in programming education. It was also found that students are already making extensive use of large language models (LLMs). LLMs can significantly improve learner autonomy and sense of competence by improving the options for bespoke learning; fostering emotions that are conducive to engendering and maintaining motivation; and inhibiting the negative affective states that discourage learning. However, current LLMs cannot adequately provide or replace social support, which is still a key factor in learner motivation.

Integrating the use of LLMs into curricula can improve learning motivation and outcomes. It can also free educators from certain tasks, leaving them with more time and capacity to focus their attention on developing social learning opportunities to further enhance learner motivation.

To the best of the authors’ knowledge, this is the first attempt to explore the relationship between motivation and LLM use in programming education.

This study aims to advance the understanding of both the challenges and the priorities facing Spanish universities undergoing the digital transformation era, to identify areas for improvement in university management, from a managerial point of view.

To analyze the importance and adequacy of various aspects related to digitalization, the authors use the importance–performance matrix, by surveying figures who have or have had a managerial position in the university, such as rectors and vice-rectors.

The results showed that the priority areas were related to strategic and financial management, knowledge management and the society and environment dimension. It all revealed imbalances, the most important of which were in the areas referring to attracting talent, sources of financing, strategic management and digitalization.

The study could benefit from considering or placing greater emphasis on alternative viewpoints, including those of external experts and administrative managers at public universities.

The practical implications relate to university management. In particular, the study highlights two issues that are a priority: attracting talent and training for university management as well as for data management. It follows from these results that legislative development and public funding should be directed towards adapting the training offer as well as the management structure and processes to the context of digitalization.

These results have implications for the public sphere, for decision-making related to the public funding that organizations receive from governments. Indeed, as the empirical results demonstrate, the proposed framework is effective not only in assessing the status of digitalization in the university but also in providing information on the most important aspects that need particular attention to achieve the desired future condition.

The novelty of this study lies in the analysis and evaluation of the digitalization process and how public universities are facing it, from the perspective of university management. Methodologically, the novelty lies in the use of the importance–performance matrix, which not only provides insight into the importance of different aspects to be analyzed but also provides information about their adequacy.

While consumer preferences for sporting goods have been widely researched within sport management, literature is lacking on aspects of social and environmental sustainability. Accordingly, this study aims to investigate the role of social and environmental sustainability for purchase decisions of sportswear and compares them to the role of price and functionality.

Based on a conjoint analysis among 1,012 Europeans, the authors conducted a two-step cluster analysis. First, the authors investigated the number of segments via Ward’s method. Second, the authors ran a k-means analysis based on part-worth utilities from the conjoint analysis.

The authors identified four segments which differ in terms of preferred product attributes, willingness to pay, and sociodemographic, behavioral, and psychographic characteristics: undecided, sustainable, price-focused and function-oriented consumers. Based on this segmentation, the authors found that the importance of social and environmental sustainability is growing, but not among all consumers.

The generalizability of the study is limited since it is not built on a sample representative for the included European countries, it focuses on a single product, and participants are potentially subject to a social desirability bias.

The consumer analysis comprises the uptake of attributes related to social and environmental sustainability. The authors thereby address a literature gap as previous research (thematizing sporting goods) in the sport management field has often neglected sustainability elements despite their rapidly growing importance within the sport sector.

This paper aims to identify the aspects that social actors consider in constructing shared futures in communities. In their application in emerging countries, especially in the Global South, the socio-cultural particularities of communities and actors are often overlooked, generating friction or social conflicts. This paper presents two critical elements contributing to the debate: the importance of understanding Social Actors within a model of generating community futures in emerging countries; and the relevant factors that influence the actors in an exercise of building futures in communities.

From qualitative research, a case study of community foresight of the future was used: the future of Puerto Gaitán 2037 (Meta, Colombia). A method of information collection was applied from observation of the participants and analysis of documentation. The analysis method was the deductive qualitative analysis (DQA).

The participation of the social actors presents a model of five relevant elements that influence the actors for the successful construction of futures in communities. The first four factors, revealed from theory, are presented in real life. Likewise, a fifth factor is proven, Long-term thinking, which is evidenced by a model of application of futures studies for the specific context, applicable to the case of communities in countries of the Global South.

Although there are isolated examples of recommendations regarding studies to generate the future of communities, to the best of the author’s knowledge, this is the first study that presents concrete factors that contribute to guiding the construction of community futures from social actors, especially in countries of the Global South such as Colombia. It is also one of the first studies to use the DQA as a method of analysis in a topic of futures studies.

Extreme weather events are on the rise around the globe. Nevertheless, it is unclear how these extreme weather events have impacted the supply chain sustainability (SCS) framework. To this end, this paper aims to identify and analyze the aspects and criteria to enable manufacturing firms to navigate shifts toward SCS under extreme weather events.

The Best-Worst Method is deployed and extended with the entropy concept to obtain the degree of significance of the identified framework of aspects and criteria for SCS in the context of extreme weather events through the lens of managers in the manufacturing firms of a developing country-Nigeria.

The results show that extreme weather preparedness and economic aspects take center stage and are most critical for overcoming the risk of unsustainable patterns within manufacturing supply chains under extreme weather events in developing country.

This study advances the body of knowledge by identifying how extreme weather events have become a significant moderator of the SCS framework in manufacturing firms. This research will assist decision-makers in the manufacturing sector to position viable niche regimes to achieve SCS in the context of extreme weather events for expected performance gains.

This research aims to investigate the negative aspects of digital transformation (DT) impacting various segments of society in the Emirate of Abu Dhabi, one of the seven Emirates comprising the United Arab Emirates. Specifically, it focuses on perceptions of participants to well-being: social connections and activities, physical health, mental health, the impact on the younger generation, and security/cybercrime.

Using data from the 3rd Abu Dhabi Quality of Life Survey, which is an annual large-scale survey, this study employs analysis of variance and regression analysis to explore the associations between the perceived negative impact of DT and various well-being indicators.

The study reveals that the perceived negative impact of digital transformation on the younger generation is of the highest concern, followed by concerns about mental health and social relationships. Results also show significant variations among different demographic categories. Among the perceived negative impacts, mental health, social trust, and happiness emerge as the most affected well-being indicators.

The originality and value of this study lie in its large social survey sample of over 80,000 participants. The findings suggest that the negative effects of DT are not uniformly experienced across different segments of the population. The study highlights the need for further research on the adverse effects of DT and recommends that policymakers develop targeted strategies to address the specific needs of different community segments, particularly vulnerable groups. Additionally, it emphasizes the importance of adaptive policies for younger age groups to prepare them for a digital future.

ESG (Environment, Social, Governance) has taken on increased importance in recent years for all stakeholders, with the S dimension now taking on a stronger focus in the real estate space. This paper proposes a new metric to be used in the S space to assess improvements in aspects such as gender equality and cultural diversity in real estate. It adds to the S metrics currently available to see the more effective delivery of the S dimension into real estate investment decision-making.

A new S metric in ESG is proposed and validated. Using this metric, examples regarding gender equality and cultural diversity are assessed among leading real estate players in Australia. This S metric is assessed over a number of time periods to demonstrate the improvements in gender equality and cultural diversity in these major real estate players.

This new S metric is seen to be highly effective and robust in capturing the changes in various aspects of the S dimension in ESG in the real estate space today; particularly concerning gender equality and cultural diversity. It is clearly able to demonstrate the significant changes in increased participation of women at the more senior leadership levels by leading players in the real estate space.

With ESG becoming a critical issue in the real estate sector, issues involved in the S space will take on increased significance going forward. This is critical, as the elements of the S dimension such as gender equality and cultural diversity are important aspects for an effectively functioning real estate industry. The S metric developed in this paper can be used for benchmarking purposes over time, as well as between real estate players, between sub-sections within a real estate organisation, and comparing against other industry sectors. It is also relevant in all organisations, and is not just limited to the real estate sector. Additional metrics in the S space are an important development to further empirically assess the effective delivery of the S dimension of ESG in the real estate sector and more broadly.

This paper specifically proposes this new S metric in ESG in the real estate industry. This is a key issue for the real estate industry going forward at all levels, as it will facilitate a more diverse real estate industry and more effective real estate investment decision-making. This S metric is applicable in all organisational sectors where the S dimension of ESG is important.

Given the growing emphasis on environmental consciousness and sustainability as core principles within most companies, product-service systems are recognized as strategic approaches to achieving sustainability objectives. Consequently, understanding consumer acceptance of these systems is of paramount importance. This study seeks to explore users' perspectives on the barriers that impede the adoption of product-service systems, intending to prioritize these obstacles.

This study utilizes a social media-based approach, specifically analyzing tweets related to Zipcar, an American car rental company that exemplifies a usage-oriented product-service system. The analysis identifies the factors influencing the acceptance of this system. The study utilizes topic modeling and sentiment analysis techniques to analyze the tweets. The opportunity value of each topic is determined, aiding in the identification of topics that require improvement. Furthermore, the interrelation between topics is explored, followed by correlation analysis to assess their significance.

Eight topics strongly related to the keywords are identified. Among them, “responsiveness”, “responsibility”, and “trust” hold the highest opportunity values. The findings emphasize the importance of service providers proactively addressing the obstacles that impede consumers' willingness to adopt product-service systems. Prioritization should be given to topics with higher opportunity values.

This research uncovers the primary obstacles to adopting the product-service system by directly considering consumer opinions and providing a prioritized list of these obstacles.

This study takes an “entrepreneurship as emancipation” perspective to study entrepreneurs defined as “others” on multiple categories: women entrepreneurs whose ventures are necessity-based, bootstrapped and located in economically impoverished areas (neighborhoods) in two Latin-American countries: Chile and Peru.

The study takes an interpretivist research approach and analyses inductively interviews with women entrepreneurs.

The findings reveal how everyday practices in pursuit of emancipation – while conducted within the existing patriarchal social structure – push the boundaries and contribute to changes in the social system via a variety of outcomes such as intergenerational social mobility, personal fulfilment and strengthening the communities in which the women entrepreneurs operate. Furthermore, while the authors find that in the particular Latin-American context under study, entrepreneuring activities become an emancipatory possibility for the everyday women entrepreneurs, they also highlight a “dark side” of their emancipatory projects.

The study contributes to recent critical studies in entrepreneurship by demonstrating the diversity and importance of the “mundane” activities undertaken by “necessity-based” entrepreneurs, and the significant – yet underappreciated – reach of their ventures’ impact on issues well beyond economic considerations.