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Despite widespread recognition of the importance of place in entrepreneurship research, much less attention has been paid to the methodological challenges that inquiries into place presents. Understanding the relationship between place and entrepreneurship is becoming increasingly important as focus turns to sustainable entrepreneurship and as policy makers turn to ‘place-based’ approaches to regional sustainability challenges. This chapter provides insight one researcher’s experiences engaging stakeholders in discussions about the relationship between a place-based university programme for sustainability and local sustainability agendas. The chapter reveals the struggles experienced by both researcher and participants in articulating what places and the local region means to both individuals and to the programme. The findings provide an important insight into how researchers studying place need to be cognisant of the limitations and flexibility of language when engaging research participants in discussing the relationship between place, sustainability, and entrepreneurship.

This paper investigates the relationship between the sustainable finance disclosure regulation (SFDR) and the performance of unlisted real estate funds.

While existing literature has primarily focused on the impact of voluntary sustainability disclosure, such as certifications or reporting standards, this study addresses a significant research gap by constructing and analyzing the financial J-Curve of 40 funds under the SFDR. The authors employ a panel regression analysis to examine the effects of different SFDR categories on fund performance.

The findings reveal that funds categorized under Article 8 of the SFDR do not exhibit significantly poorer performance compared to funds categorized under Article 6 during the initial phase after launch. On average, Article 8 funds even demonstrate positive returns earlier than their peers. However, the panel regression analysis suggests that Article 8 funds slightly underperform when compared to Article 6 funds over time.

While investors may not anticipate lower initial returns when opting for higher SFDR categories, they should nevertheless be aware of the limitations inherent in the existing SFDR labeling system within the unlisted real estate sector.

To the best of our knowledge, this study represents the first quantitative examination of unlisted real estate fund performance under the SFDR. By providing unique insights into the J-Curves of funds, our research contributes to the existing body of knowledge on the impact of sustainability regulations in the financial sector.

The purpose of this study is to understand the meaning of the term well-being as conceptualised by parents, grandparents, principals and teachers in the Irish primary education system.

A hermeneutic phenomenological approach was adopted to understand the nature and meaning of the phenomenon of well-being. Interviews were carried out with 54 principals, teachers, parents and grandparents from a representative sample of primary schools in Ireland. Each participant was asked the same, open, question: “What does well-being mean to you?” Responses were transcribed verbatim and analysed using a combination of the principles of the hermeneutic circle and Braun and Clarke’s framework for thematic analysis.

Three conceptualisations of well-being were identified (1) well-being is about being happy, (2) well-being is about being healthy and safe and (3) well-being is something you “do”.

To the best of our knowledge this paper is the first of its kind to describe how well-being is conceptualised by adults in Irish primary school contexts. In particular it highlights how neoliberal conceptualisations of well-being as a “thing”, a commodity exchanged on assumptions of individualism, moralism and bio-economism, have crept into the education of our youngest citizens.

The aim of our study is to explore the nexus between the gender composition of board and firm financial performance. We use the data of 114 listed banks from 10 Asian emerging economies. Data were extracted from the DataStream for the year 2012–2021. We apply fixed effect model to analyze the data. In addition, we use generalized method of moments (GMM) to verify our main findings. We find that both proxies of board gender composition which are the proportion of female board members and the percentage of female executives on the board have a significant impact on banks' financial performance. Findings suggest that female representation on board provides more insights of monitoring and optimal advisory capabilities and, therefore, gender-diversified board enhances firm performance. Females are more active in business matters and take more interests to fulfill their responsibilities. The results of our study provide useful signals for corporate and regulatory policymakers. Board gender disparities between enterprises should be better understood by all stakeholders to have the optimal combination of board members that ultimately lead to better performance of the firm.

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

The pursuit of happiness as a fundamental human goal is an ancient and widely discussed concept. Recent studies have noted that Gen Zers experience higher levels of stress than previous generations. At the same time, findings of the global study show that while Gen Zers are not overly optimistic, they are realistic, somewhat flexible and adaptable to situations, socially connected, and engaged and committed to making a difference in the world. While these qualities may at least partly mitigate stress levels and contribute to Gen Z's happiness, resilience should be cultivated in Gen Z.

Precise and accurate observation, what we see, and the perception of emotion, what we sense and feel, lead to a more reliable evaluation and thus to better management of complex situations. Therefore, perception, observation and judgement are critical success factors in fostering innovation leadership at individual and team levels. This chapter outlines how these aspects need to be considered to facilitate the discovery, reflection and implementation of new ideas and solutions. We look at scientific areas such as neuroscience and positive psychology and apply the research to different professional areas. Based on this, we introduce ‘Coaching with Art’ as a method to train perceptiveness as a quality for self and team leadership to better cope with the challenges and opportunities of innovation processes.