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Higher education institutions (HEIs) are crucial in sustainable development. To this end, they must infuse sustainability into all their endeavors. This study aims to delve into the unique vertically integrated project (VIP), a project-based learning approach and its impact on students’ skills and the surrounding community.

The research design was collaborative, reflecting the spirit of the VIP. Step 1 involved an action research approach, where students and instructors worked closely with municipal representatives to identify challenges and devise solutions for local economic development. In Step 2, students' voices were heard through a survey. Step 3 encompassed presentations in scientific and nonscientific events, capturing the community’s perception as a valuable feedback loop.

The authors identified the most effective policies implemented by municipalities that excelled in indices related to the business environment. VIP enhanced students’ soft skills, including critical thinking, teamwork and community spirit. The outcomes of the VIP were effective in identifying public policies aimed at social transformation.

This study’s findings offer significant insights for HEI managers, guiding them in adopting interdisciplinary pedagogical practices. These practices, in turn, foster sustainable development within both internal and external communities. Furthermore, the empirical study’s focus on improving local community governance can potentially enhance the local business environment.

Literature emphasizing the social dimension of sustainability in HEIs is scarce, particularly those practices related to teaching, research and extension linked to projects aimed at community sustainability. This study introduces interdisciplinary practices encouraging student involvement in addressing tangible issues and searching for solutions to community problems.

This study aims to identify necessary conditions for innovative entrepreneurship in cities and determine similarities in entrepreneurial configurations among them.

The authors assessed the necessary conditions for various levels of entrepreneurial output and categorized cities based on similar patterns by applying necessary condition analysis (NCA) and cluster analysis in a sample comprised of 101 cities from the entrepreneurial cities index, representing a diverse range of urban environments in Brazil. A comprehensive data set, including both traditional indicators from official Bureau of statistics and nontraditional indicators from new platforms of science, technology and innovation intelligence, was compiled for analysis.

Bureaucratic complexity, urban conditions, transport infrastructure, economic development, access to financial capital, secondary education, entrepreneurial intention, support organizations and innovation inputs were identified as necessary for innovative entrepreneurship. Varying levels of these conditions were found to be required for different entrepreneurial outputs.

The static nature of the data limits understanding of dynamic interactions among dimensions and their impact on entrepreneurial city performance.

Policymakers can use the findings to craft tailored support policies, leveraging the relationship between city-level taxonomy and direct outputs of innovative entrepreneurial ecosystems (EEs).

The taxonomy and nontraditional indicators sheds light on the broader societal benefits of vibrant EEs, emphasizing their role in driving socioeconomic development.

The cluster analysis combined with NCA’s bottleneck analysis is an original endeavor which made it possible to identify performance benchmarks for Brazilian cities, according to common characteristics, as well as the required levels of each condition by each city group to achieve innovative entrepreneurial outputs.

This study aims to analyze the university environment’s role in the intention–action gap (IAG)of highly successful startup founders in an emerging market.

Using multiple regression analysis, this study analyzed data collected from 314 founders representing 99 successful startups (289 valid observations), renowned for their high funding and value operating in an emerging market, Brazil.

The results demonstrate that extracurricular activities and exchange programs lead to a reduced IAG while living in a significant economic center extends it. Computer science and industrial engineering students show reduced IAGs. Studying together with future co-founders also leads to reduced gaps.

The study contributes to the microfoundations theory by presenting new interactions between students and the university environment that influence entrepreneurial action. Limitations are related to the sample, limited to Brazilian founders and selected only through venture capital firms’ filters.

This study also provides practical insights to the universities’ leaders on how they can create programs that improve the rate of startup creation, potentially leading to successful companies.

This study investigates the association between the university role and the entrepreneur’s IAG in emerging markets. The entrepreneur’s IAG is still a relatively new phenomenon explored in entrepreneurship. Even less understanding and limited empirical data exist on successful startups from emerging markets. This study drew on the microfoundations literature to answer how universities in emerging markets could address specific resources and entrepreneurship programs to reduce the IAG among students and alumni.

This study aims to characterize remote workers’ Airbnb experiences through the cognitive outcomes of their experiences and to consider the differences between long and short stays.

The structural topic model methodology was used to identify relevant topics. Data were collected from InsideAirbnb for Lisbon, Portugal and Austin, Texas, USA, for 2022 and early 2023, focusing on reviews that mentioned remote work.

The Airbnb experiences of remote workers and digital nomads are characterized as professionals who express mostly affective outcomes, but also have behavioral and nonaffective outcomes during their stay. In addition, the findings support the moderating role of length of stay and city.

This paper contributes to the literature by exploring how length of stay affects the priorities of remote workers on Airbnb, highlighting the different needs of long-term and short-term stays, and helping to consolidate and clarify the scattered research on customers’ long-term experiences in tourism and hospitality.

The Airbnb experience of remote workers is the highly valued as evidenced by the high rate of commending reviews indicating a willingness to stay there again. It is suggested that Airbnb hosts continue their helpful role and ensuring the functionality and availability of essential facilities and emphasizing neighborhood amenities specific to long and short stays. ChatGPT4 was found to be valuable for extracting data and assigning topic labels.

This study uses a novel structural topic model, augmented with ChatGPT4, to analyze Airbnb customer reviews that mention remote work, thereby improving inferences about the characterization of remote workers.

In the last decades, various building information modeling–life cycle assessment (BIM-LCA) integration approaches have been developed to assess the environmental impact of the built asset. However, there is a lack of consensus on the optimal BIM-LCA integration approach that provides the most accurate and efficient assessment outcomes. To compare and determine their accuracy and efficiency, this study aimed to investigate four typical BIM-LCA integration solutions, namely, conventional, parametric modeling, plug-in and industry foundation classes (IFC)-based integration.

The four integration approaches were developed and applied using the same building project. A quantitative technique for evaluating the accuracy and efficiency of BIM-LCA integration solutions was used. Four indicators for assessing the performance of BIM-LCA integration were (1) validity of LCA results, (2) accuracy of bill-of-quantity (BOQ) extraction, (3) time for developing life cycle inventories (i.e. developing time) and (4) time for calculating LCA results (i.e. calculation time).

The results show that the plug-in-based approach outperforms others in developing and calculation time, while the conventional one could derive the most accuracy in BOQ extraction and result validity. The parametric modeling approach outperforms the IFC-based method regarding BOQ extraction, developing time and calculation time. Despite this, the IFC-based approach produces LCA outcomes with approximately 1% error, proving its validity.

This paper forms one of the first studies that employ a quantitative and objective method to determine the performance of four typical BIM-LCA integration solutions and reveal the trade-offs between the accuracy and efficiency of the integration approaches. The findings provide practical references for LCA practitioners to select appropriate BIM-LCA integration approaches for evaluating the environmental impact of the built asset during the design phase.

Organisations in the past aimed to use technology to improve their processes and services. However, nowadays, their primary focus is on using technology sustainably. Sustainability is crucial to ensure a better and safer future for our environment. One such technology is the Metaverse, which is considered the next step in the growth of the Internet. It combines the real world with the virtual world to create a multi-user environment, allowing users to experience a fully immersive, real-time existence with digital characters, objects, and locations that are often 3D. The Metaverse and sustainability share a strong relationship, as it is expected that the Metaverse will have a significant impact on the material, economic, and social realms, as well as sustainability worldwide. This paper uses bibliometric analysis to understand sustainable metaverse scholarship better and provide an up-to-date account of industry practices.

This paper used the PRISMA approach and bibliometric analysis to analyse and draw conclusions from 2,911 articles retrieved from the Scopus database from 1999 to July 2023. The methodology is divided into four steps: data collection, analysis, visualisation, and interpretation. The current study uses the Bibliometric R-package and VOS viewer software to comprehend sustainable metaverse scholarship.

The study provides fascinating insights that may assist scholars, industry professionals, and top management in understanding and conceptualising sustainable metaverse in their organisations. The results show that the number of publications has significantly increased from 2015 onwards, reaching a maximum of 601 manuscripts in 2022 with an increasing publication annual growth rate of 29.12%. The United Kingdom, India, China, the USA and Italy were the most productive countries regarding the total number of publications. Technological Forecasting and Social Change, Journal of Cleaner Production, Journal of Business Research, Journal of Retailing and Consumer Services, Current Issues in Tourism, Benchmarking: An International Journal of Production Research and International Journal of Information Management emerged as the top outlets.

The research in sustainable metaverse is underpinned by this study, which aims to understand the trends in this field over the last two decades regarding prolific authors, most influential journals, key themes, and the intellectual and social structure. The study on sustainable metaverse has grown significantly and attracted interest from academia and business since 2015, following its embryonic stage. Consequently, a more in-depth analysis is required to help develop a better understanding of this new field.

The paper focuses on sustainable metaverse through increased interest from 2015 onwards through the literature review. Although the metaverse has already received significant financial and labour investments from businesses and technology firms, various sustainability issues are still present in physical materials. There is a need to assess the achievement of numerous Sustainable Development Goals (SDGs) using the resources and time put into the metaverse. Furthermore, these findings can guide researchers who want to delve deeper into sustainable metaverse.

This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and feeling.

Qualitative study involving 45 interviews with various stakeholders in artistic gymnastics, for which AI-powered systems for the judging process are currently developed and tested. Stakeholders include judges, gymnasts, coaches and a technology vendor.

We identify perceived constraints of automation, such as too much mechanization, preciseness and inability of the system to evaluate artistry or to provide human interaction. Moreover, we find that the complexity and impreciseness of the rules prevent automation. In addition, we identify affordances of augmentation such as speedier, fault-less, more accurate and objective evaluation. Moreover, augmentation affords to provide an explanation, which in turn may decrease the number of decision disputes.

While the unique context of our study is revealing, the generalizability of our specific findings still needs to be established. However, the approach of considering task types is readily applicable in other contexts.

Our research provides useful insights for organizations that consider implementing AI for evaluation in terms of possible constraints, risks and implications of automation for the organizational practices and human agents while suggesting augmented AI-human work as a more beneficial approach in the long term.

Our granular approach provides a novel point of view on AI implementation, as our findings challenge the notion of full automation of mechanical and partial automation of thinking tasks. Therefore, we put forward augmentation as the most viable AI implementation approach. In addition, we developed a rich understanding of the perception of various stakeholders with a similar institutional background, which responds to recent calls in socio-technical research.

This is the application of the Entropy and TOPSIS model to assess the eco-efficiency of European financial institutions using environmental, social, and governance (ESG) strategies. The aim is to categorize financial institutions based on key factors such as environmental training and management and to examine the alignment between ideal ESG performance and eco-efficiency.

The study uses environmental, social, and governance (ESG) strategies to identify and categorize eco-entrepreneurs in European financial institutions. The study utilizes data to examine the structure between environmental training, effective management practices, and the green performance of financial institutions.

The study shows that European financial institutions exhibit varying degrees of eco-efficiency as assessed using the Entropy and TOPSIS model applied to ESG strategies. Surprisingly, the study found that institutions with a high ESG performance do not always match those with the highest eco-efficiency.

They emphasize the need for financial institutions to align their operations with sustainable practices. This research provides insights to increase eco-efficiency and improve the ESG performance of financial institutions. It also informs policy and decision-making in these institutions in relation to environmental training and management practices, contributing to the wider dialogue on sustainable finance.

This indicates a discrepancy between ESG ratings and actual eco-efficiency, emphasizing the need to reassess the ESG framework. The study findings are crucial for aligning financial institutions with sustainable practices and improving the effectiveness of the ESG framework, especially for institutions at the lower end of the eco-efficiency spectrum.

This paper aims to explore the dimensions of spiritual tourism development, examine its current status, effectiveness and scope and analyze the knowledge landscape in terms of theories, contexts and research methodologies. The study also seeks to guide future research on spiritual tourism development.

A systematic literature review (SLR) and bibliometric analysis were used using a framework-based approach. The theories, constructs, characteristics and methods (TCCM) framework guided the SLR, whereas VOS-Viewer facilitated comprehensive bibliometric analysis.

The study conducted a quantitative SLR, analyzing 80 research articles published between 2003 and 2023. Using the TCCM framework, the research identified crucial factors influencing the growth of spiritual tourist destinations, such as intrinsic motivation, destination physicality, tourist experience, spiritual activities and host community support.

This study contributes to theoretical advancement in spiritual tourism, provides insights into the current research landscape, offers practical guidance for stakeholders and serves as a roadmap for future research endeavors.

This research enhances knowledge by thoroughly assessing prior research, addressing gaps and offering practical managerial insights for spiritual tourism development. The managerial implications outlined in the study offer practical insights for destination planning and promotion in the context of spiritual tourism.

In this study, we assessed the educational value and efficacy of a virtual educational escape room (VEER), called “The Mysterious Disappearance”, for training pre-service teachers.

“The Mysterious Disappearance” was developed ad hoc and contains various activities and puzzles focussing on the Sustainable Development Goals (SDGs). The research will evaluate the design quality and satisfaction of 193 participants regarding the VEER, their perceptions of game-based learning (GBL) and analyse which soft skills are most used and which valence typology (positive/pleasant or negative/unpleasant emotions) has the greatest impact on players’ experience. Descriptive, exploratory factor and inferential analyses are employed.

The study indicates that the VEER is rated very positively by pre-service teachers. Overall satisfaction levels are high, and the resource and methodology are perceived as favourable. The design quality of the resource is also well rated, with participants perceiving it as a challenging but engaging and well-balanced. Participation in the VEER shows several benefits, especially in cognitive and motivational areas. The participants demonstrated high levels of soft skills utilisation. The resource elicits predominantly positive and pleasurable emotions. Finally, there is a positive perception towards GBL among pre-service teachers, both as students and future teachers.

This study employs a multivariate analysis, using a questionnaire comprising three scales. This study’s dual focus on participants’ perceptions, as current Students and Future teachers, provides insights into their potential role as designers/implementers. Findings contribute to the ongoing development of academic hypotheses, particularly by highlighting the increased motivation linked to VEER use and its positive impact on learning. Designed with the SDG framework, the game enhances teachers' engagement with the 2030 Agenda, supporting their professional development and promotes values related to sustainability. The VEER was developed ad hoc by one of the authors, and the study has potential implications for numerous fields and areas of research.