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This study examined the influence of university corporate social responsibility (University CSR) on university corporate brand legitimacy through the lens of university brand trust.

The study utilized a cross-sectional research design with a quantitative approach to gather data from a sample of 398 university students. The collected data were analyzed using structural equation modeling.

The findings of the study suggest that University CSR has a significant influence on the legitimacy of a university's corporate brand. Moreover, the study identified the mediating role of university brand trust in the proposed relationship.

The study was conducted in the context of higher education in Tanzania. As a result, the generalizability of the findings to other contexts that significantly differ from Tanzania, a developing country, may be limited.

The study recommends that the management of higher education institutions in developing countries should include CSR practices in the strategic plans of universities. Additionally, faculty members should be empowered to play a significant role as initiators and implementers of CSR programs.

This study is one of the few attempts to examine the interplay between university CSR, corporate brand trust and university corporate brand legitimacy. The study contributes to the state of knowledge in the education sector by highlighting the role of university CSR in building social acceptance, which is a crucial pillar in empowering universities to play a role in social and economic development.

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.

As the application of crowdsourcing contests grows, leveraging the participation of superstars (i.e. solvers who have outstanding performance records in a crowdsourcing platform) becomes an emergent approach for managers to solve crowdsourced problems. Although much is known about superstars’ performance implications, it remains unclear whether and how their participation affects the size of a contest crowd for a crowdsourcing contest. Based on social contagion theory, this paper aims to examine the impact of superstars’ participation on the crowd size and studies how this impact varies across solvers with different heterogeneity in terms of skills, exposure and cultural proximity with superstars in crowdsourcing contests.

This paper uses secondary data from one crowdsourcing platform that includes 6,587 innovation contests to examine superstars’ main and contextual effects on the crowd size of a contest.

Our results reveal that superstars’ participation positively affects the crowd size of a contest in general. This finding suggests that social contagion is a fundamental mechanism underlying crowd formation in crowdsourcing contests. Our results also indicate that in contests that involve multiple superstars, superstars’ effect on crowd size becomes negative when we simultaneously consider other solvers’ heterogeneity in terms of skills, exposure and cultural background, and this negative effect will be intensified by increases in the skill gap, extent of exposure and cultural proximity between superstars and other solvers in the same contest.

Our research enhances the understanding of the influence of superstars and the mechanism underlying the emergence of contest crowds in crowdsourcing contests and contributes knowledge to better understand social contagion in a competitive setting. The results are meaningful for sourcing managers and platform supervisors to design contests and supervise crowd size in crowdsourcing contests.

While ChatGPT is gaining popularity, its potential role in supply chains (SCs) remains unexplored. This study explores the potential applications, benefits and challenges of using ChatGPT as a tool in SCs.

The data were gathered through an online survey involving 116 respondents from the academic and industrial sectors who have knowledge of ChatGPT and SC management. These participants were affiliated with the Decision Science Institute (DSI) in the USA and contributed to the published DSI conference proceedings from 2019 to 2022. The survey is structured in three main sections: (1) general information (5 background questions), (2) ChatGPT's potential applications and benefits in SCs (15 pre-determined questions) and (3) potential challenges with using ChatGPT in SCs (5 pre-determined questions). The collected data underwent analysis using IBM SPSS Statistics software.

ChatGPT can potentially benefit SC operations in 15 areas. Eight potential benefits received more support than the rest, including enhanced process efficiency, cost reduction, providing sustainability reports, better demand forecasting, improved data analysis, streamlined supplier communication, streamlined customer communication, supported promotional activities and enhanced customer satisfaction, but all were supported. Also, the study identified some challenges and hurdles currently impacting the use of ChatGPT in the SC, including that ChatGPT cannot replace experts, it is not an immediate game changer, its uses may lack accuracy, and ChatGPT may take time to reach maturity.

The study is the first to offer empirically grounded evidence of ChatGPT's potential in SCs. The research enhances academic literature by deepening our comprehension of the potential applications of ChatGPT within SCs. Therefore, the study makes an invaluable contribution to the extant literature on ChatGPT in SCs. It can benefit manufacturers, suppliers, logistics providers and other types of businesses through more efficient procurement practices, supplier management, operations and inventory management, logistics practices and customer relationships. Future research may explore how and why ChatGPT is used in SCs.

The purpose of this study is to present a bibliometric and network analysis that uses the Scopus and Dimension databases to provide new insights into the progression toward the study of sustainable economic development.

This analysis has been drawn on 665 papers published between 2015 and 2023. Bibliometric analysis characterizes a research topic by identifying leading nations, the most significant authors and expressive publications. Network analysis revealed keyword evolution over time, co-citation patterns and study grouping. Content analysis was used to identify major topic in the discipline, with a focus on their interrelationships. Each publication in the data set is briefly described, along with its methodological approach.

The results of this study show that green finance plays a major role in long-term economic growth, having a significant influence on the preservation of environmental quality, economic efficacy and a more comprehensive economic system. Financial technology also accelerates the transition to a carbon-neutral economy by enhancing the beneficial effects of green finance on aspects of the economic system and environmental conservation.

The investigation is based only on Scopus and Dimensions-indexed journal articles. However, additional studies should incorporate publications from other reputable databases, such as Web of Science, PubMed and Science Direct, for the bibliometric analysis, so that the findings of the model analysis become more reliable and valid with examination of more documents. The visualization of similarity viewer was used for data analysis in the study, there is a scope for using other tools such as Biblioshiney and CitNet Explorer.

To support long-term economic growth, authorities should encourage Fintech companies to actively participate in various green finance initiatives and environmental conservation businesses. Financial managers should facilitate the integration of technology and green finance for financial services. It is important to encourage institutional and individual investors alike to look into more environmentally friendly ways to invest and save money. Policymakers should provide a platform for global awareness and government agencies should enhance their recommendations to state governments to increase the efficacy of green finance.

This study contributes to the literature by investigating the relationship between Fintech and green financing. This study holds significance for financial intermediaries, industrialists, investors and policymakers by providing insights into the integration of Fintech with green finance for sustainable development. These findings affirm the pivotal role of Fintech and green finance in fostering sustainable economic development. The novelty of the topic and the variety of publications in which it has been published demonstrate that sustainable economic development has piqued the interest of a wide range of areas.

This study aims to analyse the positioning of young people in the face of the challenges posed by the Sustainable Development Goals (SDGs). It focuses on the case of Erasmus+ students at a Spanish university and tries to evaluate the importance of each of the SDGs for them.

Based on primary data obtained through a survey of more than 300 young people, factor analysis was applied to evaluate the importance assigned to each SDG and quantify the degree of concern assigned to each of them.

Results show a high degree of concern for all the SDGs among Erasmus students, although they have done so with different levels of intensity. College students especially value education. Women are more concerned about socioeconomic problems. Furthermore, surprising results have been found in terms of gender equality, which indicates the need to deepen this analysis.

This work contributes to the academic literature, still limited but growing, on how Erasmus students perceive the SDGs and to what level they feel committed to these objectives. Furthermore, it can be helpful for public policy managers regarding a specific group of young university students and a hot topic such as sustainability.

The aim of this study is to gauge the consideration toward sustainability and sustainable development in the creative process or activities in design practices among the design undergraduates of University A, Russia, and University B, Malaysia. The beliefs, attitudes and intentions toward all the dimensions of sustainability – environmental, social and economic – were assessed and compared between both institutions.

A questionnaire was administrated to 127 design undergraduates from University A, Russia, and 135 design undergraduates from University B, Malaysia, to assess their beliefs, attitudes and intentions toward sustainability and sustainability development in their creative practices.

The outputs of this investigation suggested that the courses related to education for sustainable development that preached in design programs at University A, Russia, have developed appropriate beliefs, attitudes and intentions toward sustainability and sustainable development in creative process or activities among the learners on environmental and social sustainability issues. The subject on sustainable development offered in design programs at University B, Malaysia, has mold positive beliefs, attitudes and intentions on the environmental sustainability issues in creative practices among the design undergraduates. The outcomes of this study shed some light on the effectiveness of the courses related to education for sustainable development of both institutions in building the appropriate mindset in the creative process during design activities.

This study on the consideration of sustainability and sustainable development in creative practices is novel and the outputs of this study can carve the path for an effective education for sustainable development courses in the design programs, specifically in the context of building the appropriate beliefs, attitudes and intentions toward sustainability and sustainable development in creative practices among the future designers.

The study aims to refine the local university’s supply chain management curriculum to meet regional industry demands, thus boosting the local economy.

Mixed-methods action research combined with neural network modeling was employed to align educational offerings with the needs of the local supply chain management industry.

The research indicates that curriculum revisions, informed by industry leaders and modeled through neural networks, can significantly improve the relevance of graduates' skills to the SCM sector.

The study is specific to one region and industry, suggesting a need for broader application to verify the findings.

Adopting the recommended curricular changes can yield a workforce better prepared for the SCM industry, enhancing local business performance and economic health.

The study supports a role for higher education in promoting economic vitality and social welfare through targeted, responsive curriculum development.

This study introduces an innovative approach, integrating neural network analysis with action research, to guide curriculum development in higher education based on industry requirements.

Considering the historical evolution of innovation dynamics, and its paradoxical state, and answering Nelson (2008) and Winter (2014), this paper aims to analyze the dynamics of innovation within the context of the Evolutionary Economic Theory. Specifically, this study looks to unravel the moderating influence of university cooperation on the relationship between innovation expenditure and innovation results. This study aims to provide valuable insights and evidence that can inform strategic decision-making for policymakers and businesses striving to foster innovation-driven economic growth in an ever-evolving global landscape.

The quantitative methodology adopted in this study involved harvesting data from the Latin American Innovation Survey (LAIS) database and cleaning it up using Python to ensure data integrity. Subsequently, SPSS, coupled with the PROCESS macro, was employed to conduct moderation analysis. This methodological approach enabled the examination of the intricate interplay between innovation expenditure, university cooperation and innovation outcomes within a large sample of firms, thereby easing a robust exploration of the hypothesis.

The research highlights the moderating role of university cooperation, showing that collaborative partnerships amplify the impact of innovation spending on innovation results, advancing the understanding of the impact of university-business collaborations. Additionally, the results revealed a positive relationship between innovation expenditure and innovation results, underscoring the significance of R&D investments.

This study highlights the role of university-industry collaborations in enhancing innovation investment outcomes in Latin America. It suggests that managers should proactively engage with universities to access advanced research and foster a culture of innovation. These partnerships can significantly boost a firm's competitive edge and innovation success, marking them as crucial in the rapidly evolving economic environment.

The originality of the paper relies on bridging theoretical concepts from the Evolutionary Economic Theory framework with empirical insights of the moderating role of university cooperation. It addresses a theoretical gap, with a new methodology and offers insights into the complex relationship between universities, businesses and innovation in a constantly changing economic environment, making it clearer how these connections can help boost innovation in practical ways.

This paper aims to identify key factors influencing the development of advanced manufacturing clusters and propose governance pathways for their digital innovation ecosystems.

A quantitative analysis of the Tai-Xin Integrated Economic Zone in China is conducted using data collected through a questionnaire survey. An evaluation index for the development level of advanced manufacturing clusters is constructed, and a structural equation model is used to identify key influencing factors and governance pathways.

This paper reveals that factors such as industrial foundation, technological innovation capability, social institution environment and government policies have a significant positive impact on the development of digital innovation ecosystem in advanced manufacturing clusters. It constructs a governance model for the digital innovation ecosystem and proposes three major pathways: integration of heterogeneous innovation resources, enhancement of digital capabilities, and fostering digital collaborative governance. The crucial role of digital technology in improving data processing efficiency, optimizing resource allocation and promoting collaboration among entities is emphasized. These pathways can optimize resource allocation, boosting the competitiveness and innovation capacity of clusters.

By incorporating advanced manufacturing clusters into the digital innovation ecosystem framework, this paper enriches theoretical research on both fronts. It offers specific governance pathways and policy recommendations, providing valuable references and guidance for promoting the digital transformation and ecosystem construction of manufacturing clusters.