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Despite the popularity of the entrepreneurial ecosystem (EE) concept, research on its value-adding activities receives less attention. Thus, in this article, the authors investigate the role of EEs in supporting global value chain (GVC) activities.

The authors employ the fuzzy-set qualitative comparative analysis (fsQCA) technique to identify practical configurations of EE’s framework and systemic conditions spurring GVC activities in 80 countries.

The findings suggest different configurations of EE`s framework and systemic conditions necessary for various GVC activities regarding input-output structure, geographical scope, upgrading, and forward and backward participation.

This study contributes to the extant literature by pioneering the EE approach to explaining GVC development. Moreover, the findings provide novel insights for understanding the EE – GVC interplay. As a result, the study offers a more nuanced understanding of how the EE supports GVC activities.

This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.

The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.

The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.

This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.

This chapter shares the experiences of two graduate students as they navigated higher education during the pandemic. Engaging in graduate study during the pandemic shaped their socialisation experiences, challenged their understanding of themselves as scholars and impacted their relationships with mentors. This chapter shares personal reflections of their experiences and explores their sense of professional identity and aspirations for the future.

Artificial intelligence and augmented reality are two key tools gaining importance in the digital era due to their wide range of applications in different fields and sectors. Industry 4.0 lays emphasis principally on the technology used to help the business remain competitive and sustainable. Sustainable development goals are another important objective of the UN which has laid responsibility for every business to support addressing the global challenges. Purpose: This chapter essentially aims to present the standpoint of artificial intelligence and augmented reality in meeting the sustainability perspective of organizations. Information about the study is gathered through secondary approaches, critically reviewing published literature, scientific reports, and statistical data accessible through business reports, and corporate websites. Further analyzed to present the perspectives of the authors in the study. Globally artificial intelligence market size is predicted to reach $190 billion by 2025, while the funding for startups doubled during the period 2011–2020 globally. The investment in artificial intelligence is going to reach $500 by 2024 resulting in substantial revenue returns. The augmented reality market size could reach $97 billion by 2028. Artificial intelligence today is increasingly used in many fields and is attracting multiple applications in many sectors such as manufacturing, retail, education, IT, and health care and has also contributed to sustainable development the same time by providing energy conservation options, optimization, and reduction of resources, minimizing wastage, offering timely assistance on maintenance schedules, practices which are enabling organizations to reach closer to sustainability and transformation.

The purpose of this study is to extend the Fraud Diamond Theory to celebrity Special Purpose Acquisition Companies (SPACs) and investigate their post-Initial Public Offering (IPO) stock market performance.

After obtaining a sample of celebrity SPACs from the Spacresearch.com database, fraud risk characteristics were obtained from Lexis Nexus searches. Buy and hold abnormal returns were calculated for celebrity SPACs versus a small-cap equity benchmark for time intervals after IPO, and multiple regression analysis was performed to examine the relationship between fraud risk features and post-IPO returns.

Celebrity SPACs exhibit Fraud Diamond characteristics and significantly underperform a small-cap stock portfolio on a risk-adjusted basis after IPO.

This study only examines celebrity SPACs that conducted IPOs on the NYSE and NASDAQ/AMEX and does not include those that are traded on the Over the Counter Bulletin Board (OTCBB).

Celebrity endorsement of SPAC vehicles attracts investors who may not be properly informed regarding the risk characteristics of SPACs. Accordingly, investors should be warned that celebrity SPACs underperform a small-cap equity portfolio and exhibit significant elements of fraud risk.

The use of celebrity endorsement as a marketing device to attract investment in SPACs has regulatory implications.

To the best of the authors’ knowledge, this paper is the first to examine the fraud risk characteristics and post-IPO performance of celebrity SPACs.

The aim of the study is to explore perceptions of the impact of assessment feedback by international undergraduate nursing students. Research to date indicates that summative assessment feedback may impact significantly on student achievement but if it is undertaken sub optimally or does not provide students with the opportunity to engage with the process and reflexively respond, it can also be exceptionally damaging to the learning experience.

A scoping exercise of overall student feedback experience was initially collated via the adoption of an Interpretive Phenomenological Approach (IPA). Participants were recruited via purposive sampling and the LEGO® Serious Play® method was used to collect data. Analysis with Quirkos software was used to examine the salience as well as commonality of findings as an integral part of a recognised five-step thematic analytical approach.

Feedback was perceived, by students, as significantly impacting factor in relation to their overall progression, attainment and retention rates. Themes generated from the findings evidenced student perceptions that summative feedback is a positive driver and source of motivation for academic success and progression. It was perceived that levels of attainment were related to the clarity, quality and individualised nature of feedback that students received and that this was perceived to be evident in their final grades. These were accompanied by perceptions that feedback clarity also determined the potential of breaking down perceived student barriers to learning, their perceived capacity for effective assignment planning and preparation and the likelihood of them having any positive collective or individual interpersonal relationships with their tutors. Summarised, students perceived that feedback ought to lead to student empowerment in managing their studies and as such it ought to be clear, straightforward and non-ambiguous.

The methodological design of the study means that generalisability from its findings was never intended or possible. However, there may be the potential transferability of findings to similar institutions and contexts of nurse education with students who have similar demographic profiling. The study was also a means of providing an insight into the lived experience of students which could be used in the prospective adaptation of feedback mechanisms for staff at a local level within Higher Education.

The study reveals the perceived impact of gamification as a mechanism of summative assessment as conveyed by a designated group of students. Whilst specific recommendations for change can only be made within the context specificity of the research, there may be aspects of the findings which are potentially transferable to other similar contexts of Higher Education delivery whose pedagogical approaches mirror those in operation at the institution where the research was undertaken. It became apparent that the standardisation of feedback approaches offered many opportunities to improve existing systems. The issue of monitoring workloads is also of significance in terms of the level and degree of summative assessment and feedback that academic staff can undertake.

The study revealed the perceived magnitude of assessment feedback on progression, attainment and retention rates, alongside the perceived need for a universal feedback template and the opportunity to provide audio-video feedback. This study adds to existing knowledge in the field of pedagogic practice about both the execution of LEGO® Serious Play® as a research methodology and why the perceptions of feedback as articulated and illuminated by a group of contemporary nursing students ought to matter in the context of Higher Education.

Earthquakes pose a significant challenge to human safety and the durability of infrastructure, highlighting the urgent need for innovative disaster management strategies. This study addresses the gap in current earthquake disaster management approaches, which are often related to issues of transparency, centralization and sluggish response times. By exploring the integration of blockchain technology into seismic hazard management, the purpose of the research is to overcome these limitations by offering a novel framework for integrating blockchain technology into earthquake risk mitigation and disaster management strategies of smart cities.

This study develops an innovative approach to address these issues by introducing a blockchain-based seismic monitoring and automated decision support system for earthquake disaster management in smart cities. This research aims to capitalize on the benefits of blockchain technology, specifically its real-time data accessibility, decentralization and automation capabilities, to enhance earthquake disaster management. The methodology employed integrates seismic monitoring data into a blockchain framework, ensuring accurate, reliable and comprehensive information. Additionally, smart contracts are utilized to handle decision-making and enable rapid responses during earthquake disasters, offering an effective alternative to traditional approaches.

The study results highlight the system’s potential to foster reliability, decentralization and efficiency in earthquake disaster management, promoting enhanced collaboration among stakeholders and facilitating swift actions to minimize human and capital loss. This research lays the foundation for further exploration of blockchain technology’s practical applications in other disaster management contexts and its potential to transform traditional practices.

Current methodologies, while contributing to the reduction of earthquake-related impacts, are often hindered by limitations such as lack of transparency, centralization and slow response times. In contrast, the adoption of blockchain technology can address these challenges and offer benefits over various aspects, including decentralized control, improved security, real-time data accessibility and enhanced inter-organizational collaboration.

Research has focused primarily on the antecedents that influence the risk taking of CEOs themselves. This study examines how an important event experienced by a CEO at a direct rival firm influences a CEO's risk-taking. It also examines how prior firm performance relative to aspirations moderates the relationship.

In order to test the hypothesis, the authors perform an a difference-in-differences methodology.

Using a difference-in-differences methodology, we find that when a CEO wins a prestigious CEO award, competitor CEOs increase their firm risk-taking in the post-award period. The proclivity becomes stronger when their prior firm performance relative to aspirations is better. These findings suggest that a CEO winning a prominent CEO award influences competitor CEOs' risk-taking.

This study contributes to the literature on managerial risk-taking by highlighting that a star CEO winning a prominent award may serve as a striving aspiration and induce competitor CEOs to take risks, and that two different types of aspirations – striving and competitive aspirations – interact to influence the competitor CEOs' risk-taking.