The construction industry's increasing complexity and dynamic project environments engender advanced risk management strategies. AI-based risk management tools, reliant on complex mathematical models, often impose specialised coding requirements, leading to challenges in accessibility and implementation. In this vein, Generative Artificial Intelligence (GenAI) emerges as a potentially transformative solution, leveraging adaptive algorithms capable of real-time data analysis to enhance predictive accuracy and decisionmaking efficacy within Construction Risk Management (CRM). However, integrating GenAI into CRM introduces significant challenges, including concerns around data security, privacy, regulatory compliance, and a skills gap. Our research seeks to address these issues by presenting a systematic bibliometric analysis that explores evolving trends, key research contributions, and critical methodological approaches related to GenAI in CRM. Thus far, our investigation has analysed 23 selected research articles from an initial corpus of 212 papers, spanning the period from 2014 to 2024. Early insights delineate a marked escalation in research activity from 2020 onwards, a surge likely engendered by 2 recent advancements in AI technologies and their applicability to construction management. We categorise GenAI's potential benefits into technical, operational, technological, and integration-related advantages, encompassing improvements in risk identification, predictive capabilities, scheduling, and cybersecurity. Simultaneously, we identify significant risks, particularly related to data governance, social acceptance, and the operational impacts of AI-driven decisions. These preliminary findings underscore the imperative for systematic governance frameworks and proactive stakeholder engagement to optimise GenAI's benefits whilst mitigating its latent risks.

Agricultural cooperatives (co-ops) are increasingly recognised for their capacity to enhance resilience in the face of crises such as climate change, economic disruptions, and pandemics. This study investigates how governance structures and adaptive project management strategies contribute to effective crisis management in coops. Initial findings reveal that regulatory compliance acts as both a constraint and an enabler, while economic volatility drives the need for costly technological investments. External stakeholder influence provides essential resources but imposes governance to align internal and external priorities. Social capital, manifesting as community trust and collaboration, supports crisis response but can be weakened under financial stress. Hybrid governance frameworks emerge as vital, balancing member engagement with professional oversight to maintain organisational stability. We propose the Crisis Resilience in Agricultural Cooperatives conceptual framework, which links external pressures, internal dynamics, and resource availability to resilience outcomes. This research highlights the importance of strategic governance, adaptive project management, and effective social networks in fostering coop resilience and provides guidance for policymakers and practitioners.

Industry 5.0 (I5.0) is increasingly emerging as a prominent paradigm across the global business landscape, with three distinctive core values: human-centricity, sustainability, and resilience. This shift introduces notable changes in multiple aspects and requires academics and practitioners to reexamine the concept of supply chain management. Whilst previous research has identified the potential of I5.0 in enhancing supply chain performance (SCP), there has been insufficient attention paid to the understanding of the nature and implications of human-AI interactions. More specifically, there is a lack of thorough discussion on the mechanism how I5.0 can improve SCP. This exploratory study therefore aims to develop theoretical insights through empirical examination of the relationships between I5.0 and SCP in the manufacturing industry, with supply chain integration (SCI) as a mediator. Adopting a dynamic capabilities perspective, we argue that overcoming the challenges associated with implementing I5.0 may motivate companies to integrate their supply chains and enhance their SCP. Partial least squares structural equation modelling (PLS-SEM) is applied to test the hypotheses using survey data from 230 industry professionals, followed by a fuzzy analytic hierarchy process (FAHP) to quantify and prioritise the impacts of I5.0 challenges on SCP indicators. The results indicate that I5.0 has a direct positive impact on both SCI and SCP. Furthermore, SCI plays a significant role in mediating the relationship between I5.0 and SCP. This research contributes to the body of knowledge by empirically validating the relationships between I5.0, SCI, and SCP in a solitary and holistic model, thereby bridging the gaps in the literature between these distinct research streams.

Project management remains as one of the most popular post graduate management courses for international students at UK Universities. Students perceive or are advised that the skill set is highly transferable to a wide range of management opportunities and can be built upon almost any undergraduate discipline. However, many practitioners claim that the interconnectedness of the real life of projects can only ever be fully understood through on-the-job real life work experience. Hence the student dilemma, how to gain experience without experience? Project management simulation exercises attempt to bridge this gap. This research considers the effectiveness of a well proven simulation at a UK university comparing the applied knowledge of 17 different skill sets before and after the exercise through the lens of the student perspective. Furthermore, in depth semi-structured interviews with experienced tutors aim to decipher the mechanisms of learning so transferable principles can be prioritised for future exercise design. The study carried out during the 2020/21 academic year demonstrates that from a student perspective such educational approaches are highly effective with all the skill set analysed (a broad set of hard and soft skills) showing notable deltas before and after. In addition, students engage deeply with this method and find it fun and memorable which is important for future knowledge retrieval. The knowledge and experience of the tutors highlighted that game design was only 1 of 3 important elements crucial for learning to take place. Game management and the skill and motivation of the tutor have equal bearing on success. This research offers a conceptual framework to synthesis the findings and recommends that educationalists and employers collaborate and invest in future game development together rather than seek off the shelf solutions.

This paper delves into the transformative impact of Artificial Intelligence (AI) on project management (PM) within the UK construction industry. Our research unfolds in two main dimensions: firstly, examining the current applications of AI in this sector, and secondly, evaluating the challenges that hinder its broader adoption, alongside the potential benefits it offers. Central to our study is the role of AI in enhancing productivity, which is crucial for understanding the factors that influence AI integration in the construction industry.

As Financial Technology (Fintech) continues to evolve rapidly, financial institutions recognise the need to integrate innovative solutions to enhance their risk management strategies. This acknowledgement stems from the potential benefits that Fintech offers in mitigating financial risks. However, despite this growing recognition, empirical research, particularly in emerging markets such as Jordan, remains scarce. To this end, this study aims to evaluate how Fintech applications impact the enhancement of financial risk management practices in Jordan. A questionnaire survey was developed and administered to 11 financial risk experts in Jordan to assess the effects of Fintech adoption on financial risk management. Participants evaluated the potential of Fintech applications, such as digital lending and credit, mobile banking, mobile payments, cryptocurrency, blockchain, and online trading, to improve financial risk management practices. The study findings indicate a perceived positive impact of Fintech adoption on enhancing the efficacy of financial risk management practices in Jordan. This study significantly contributes to the literature by shedding light on the positive impact of Fintech adoption on financial risk management, particularly in emerging markets like Jordan. Moreover, this study has important implications for policymakers, regulators, and banking practitioners, highlighting the importance of creating an enabling environment for Fintech adoption to address financial risks proactively.