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The purpose of the paper is to explore the rapidly evolving landscape of artificial intelligence (AI) tools in academic research, highlighting their potential to transform various stages of the research process. AI tools are transforming academic research, offering numerous benefits and challenges.

Academic research is undergoing a significant transformation with the emergence of (AI) tools. These tools have the potential to revolutionize various aspects of research, from literature review to writing and proofreading. An overview of AI applications in literature review, data analysis, writing and proofreading, discussing their benefits and limitations is given. A comprehensive review of existing literature on AI applications in academic research was conducted, focusing on tools and platforms used in various stages of the research process. AI was used in some of the searches for AI applications in use.

The analysis reveals that AI tools can enhance research efficiency, accuracy and quality, but also raise important ethical and methodological considerations. AI tools have the potential to significantly enhance academic research, but their adoption requires careful consideration of methodological and ethical implications. The integration of AI tools also raises questions about authorship, accountability and the role of human researchers. The authors conclude by outlining future directions for AI integration in academic research and emphasizing the need for responsible adoption.

As AI continues to evolve, it is essential for researchers, institutions and policymakers to address the ethical and methodological implications of AI adoption, ensuring responsible integration and harnessing the full potential of AI tools to advance academic research. This is the contribution of the paper to knowledge.

Unlocking the potential of Big Data Analytics (BDA) has proven to be a transformative factor for the Architecture, Engineering and Construction (AEC) industry. This has prompted researchers to focus attention on BDA in the AEC industry (BDA-in-AECI) in recent years, leading to a proliferation of relevant research. However, an in-depth exploration of the literature on BDA-in-AECI remains scarce. As a result, this study seeks to systematically explore the state-of-the-art review on BDA-in-AECI and identify research trends and gaps in knowledge to guide future research.

This state-of-the-art review was conducted using a mixed-method systematic review. Relevant publications were retrieved from Scopus and then subjected to inclusion and exclusion criteria. A quantitative bibliometric analysis was conducted using VOSviewer software and Gephi to reveal the status quo of research in the domain. A further qualitative analysis was performed on carefully screened articles. Based on this mixed-method systematic review, knowledge gaps were identified and future research agendas of BDA-in-AECI were proposed.

The results show that BDA has been adopted to support AEC decision-making, safety and risk assessment, structural health monitoring, damage detection, waste management, project management and facilities management. BDA also plays a major role in achieving construction 4.0 and Industry 4.0. The study further revealed that data mining, cloud computing, predictive analytics, machine learning and artificial intelligence methods, such as deep learning, natural language processing and computer vision, are the key methods used for BDA-in-AECI. Moreover, several data acquisition platforms and technologies were identified, including building information modeling, Internet of Things (IoT), social networking and blockchain. Further studies are needed to examine the synergies between BDA and AI, BDA and Digital twin and BDA and blockchain in the AEC industry.

The study contributes to the BDA-in-AECI body of knowledge by providing a comprehensive scope of understanding and revealing areas for future research directions beneficial to the stakeholders in the AEC industry.

This study aims to develop and apply a process model for prioritizing and selecting basic research projects in developing countries.

Basic research is mainly funded by governments and since, unlike technological research, it does not have clear business goals, its prioritization is one of the complicated issues in formulating science and technology policy. Adopting a design science research methodology, the authors chose a general framework for project portfolio selection as an appropriate artifact for solving this problem. By customizing it for two specific features of this study, i.e. national scale of the problem and the basic nature of research proposals, the authors developed the proposed framework for solving the problem of priority setting.

The process for selecting basic research proposals consists of several steps, which can be categorized into eight steps including strategic decisions, preparation, pre-screening, evaluating individual proposals, screening, portfolio selection and monitoring. This study emphasizes the necessity of defining goals that can be evaluated for the national basic research portfolio, as a key strategic decision. Evaluating individual proposals is a peer-review-based process. In contrast, portfolio selection is done through a zero-one linear programming model. The validity of the proposed framework has been confirmed based on the data obtained from the Iran National Science Foundation.

To the best of the authors’ knowledge, in this research, for the first time, a mathematical model for prioritizing basic research at the national level has been presented, which effectively contributes to policymaking regarding the development of an optimum national research portfolio.

This paper aims to explore global research on individuals’ awareness and behaviours related to the Circular Economy, aiming to deepen the understanding of how people engage with and contribute to CE practices.

Using a systematic literature review (SLR), this study methodically collects, codifies, analyses, synthesizes and interprets existing literature and research on Circular Economy. This approach aims for a comprehensive understanding of current global perspectives and practices.

The analysis reveals an increasing trend in empirical research focusing on Circular Economy strategies. This paper has identified 22 key strategies linked to public awareness and behaviours towards Circular Economy, noting that purchasing recycled products is the most commonly observed behaviour. The findings highlight the growing importance and complexity of individual roles in the Circular Economy.

The study underscores the importance of consumer behaviour in advancing Circular Economy practices. This paper observes that despite the growth in Circular Economy research, there is still a notable gap in awareness and behaviour, even in developed countries. This is attributed to a lack of conceptual understanding, educational disparities, resource limitations, a limited grasp of cost–benefit considerations and inadequate government support. The paper also explores regional and sector-specific variations in Circular Economy adoption, with insights from countries such as the USA, China, the UK, Germany, France and Norway.

This study underscores the importance of consumer behaviour in advancing Circular Economy practices. Despite the growth in Circular Economy research, there is still a notable gap in awareness and behaviour, even in developed countries. This is attributed to a lack of conceptual understanding, educational disparities, resource limitations, a limited grasp of cost–benefit considerations and inadequate government support. The paper also explores regional and sector-specific variations in Circular Economy adoption, with insights from countries such as the USA, China, the UK, Germany, France and Norway.

This research underscores the impact of demographic and sociocultural factors, including age, education, social norms and attitudes, on Circular Economy engagement. It identifies potential research areas, including examining cultural influences on social and personal norms related to circular behaviours. Ultimately, the study emphasizes the need for a coordinated, cross-sectoral effort to facilitate a sustainable transition to a Circular Economy, addressing barriers and fostering awareness and behaviours conducive to circular practices.

This study acknowledges challenges affecting the maturity of Circular Economy practices, including a lack of comprehension, educational disparities, resource constraints and limited government support. It also underscores the impact of social and cultural factors on Circular Economy engagement. It suggests promising avenues for future research, providing valuable insights into the state of Circular Economy practices and offering a roadmap for advancing global sustainability initiatives.

There has been increasing advocacy for the inclusion of people with disabilities in disaster research and practice yet there are limited empirical examples that give voice to people with disabilities and their expereinces by consulting them directly. Conceptulising new methods that frame the role of people with disabilties as co-producers are essential for improving the representation of people with disabilties in the context of disaster research and beyond. The paper discusses how to facilitate disability inclusive research and introduces a participatory timeline tool that was co-produced by people with physical disabilities in Sindhupalchok, Nepal.

The participatory timeline activity utilised 3D printed counters to explore the experiences of people with disabilities during disaster events and their recovery processes, in this case, the 2015 Ghorka earthquake and the 2021 Melamchi Flood. The paper reflects on how to foster disability-inclusive environments by placing agency and ownership by people with disabilities at the centre of research practice.

This approach created an atmosphere of collaboration and supported co-researchers to reveal their experiences and knowledge on their own terms. The counter tool introduced could be adapted for different research inquiries and used alongside other methods which seek to facilitate the voices of people with disabilities.

The research paper adds to the limited body of litreature on how to conduct participatory research with people with disabilities in disaster contexts and more widely within Majority world contexts.

This paper aims to conduct a bibliometric analysis of studies focusing on green supply chain management (GSCM) within the context of the digital economy.

We utilize the Web of Science database to search and filter relevant documents spanning the years 2003–2022. This extensive dataset enables us to analyze the growth and cutting-edge developments in research pertaining to GSCM in the digital economy.

The paper finds a significant increase in research interest and output, particularly noticeable from 2016 onwards, indicating the growing relevance of integrating GSCM with digital technologies. It is found that the prominent contribution of countries like China, England and the USA, underscoring a strong geographical diversity in research outputs. China leads in the number of publications, which reflects its significant role in shaping the discourse around GSCM in the digital economy. However, when it comes to citations, the USA leads, suggesting a higher impact or quality of research emanating from this region. Collaborative dynamics outlined in the study demonstrate extensive international cooperation, primarily among leading research countries, which is facilitated by shared digital platforms enhancing the research’s reach and impact. The study also highlights a range of emerging themes such as the adoption of blockchain technology, Internet of Things (IoT) and the circular economy within GSCM, indicating dynamic areas for future research.

The findings of this study hold significant practical implications for researchers, practitioners and policymakers. They shed light on the current state of research in GSCM within the digital economy, highlighting areas where further investigation is needed and pointing to the emerging trends in this field. Understanding the distribution of research and influential authors can guide future collaborative efforts and inform decision-making processes in the pursuit of sustainable supply chain practices in the digital era.

This paper contributes to the existing body of knowledge by providing a comprehensive bibliometric analysis of the evolving landscape of GSCM in the digital economy. It offers valuable insights into the growth patterns, key contributors and geographical distribution of research in this domain. This information is crucial for researchers and stakeholders seeking to stay at the forefront of sustainable supply chain practices in an increasingly digital world.

The purpose of this multi-voiced paper is to propose a prosocial paradigm for the field of performance management and management control systems. This new paradigm suggests cultivating prosocial behaviour and prosocial groups in organizations to simultaneously achieve the objectives of economic performance and sustainability.

The authors share a common concern about the future of humanity and nature. They challenge the influential assumption of economic man from neoclassical economic theory and build on evolutionary science and the core design principles of prosocial groups to develop a prosocial paradigm.

Findings are based on the premise of the prosocial paradigm that self-interested behaviour may outperform prosocial behaviour within a group but that prosocial groups outperform groups dominated by self-interest. The authors explore various dimensions of performance management from the prosocial perspective in the private and public sectors.

The authors call for theoretical, conceptual and empirical research that explores the prosocial paradigm. They invite any approach, including positivist, interpretive and critical research, as well as those using qualitative, quantitative and interventionist methods.

This paper offers implications from the prosocial paradigm for practitioners, particularly for executives and managers, policymakers and educators.

Adoption of the prosocial paradigm in research and practice shapes what the authors call the prosocial market economy. This is an aspired cultural evolution that functions with market competition yet systematically strengthens prosociality as a cultural norm in organizations, markets and society at large.

The Elementary and Secondary School Emergency Relief (ESSER) requires districts to deliver “evidence-based interventions” to students impacted by the pandemic. The policy has created a unique opportunity for researchers and practitioners to engage with evidence to learn how recovery interventions work and under what conditions.

This study is part of a research-practice partnership (RPP) between Guilford County Schools, AIR-CALDER, Harvard University and NWEA to understand the impacts and implementation of ESSER-funded recovery programs. We use a case analysis approach and frameworks of evidence-use and RPPs to explain how researchers and Guilford leaders engage with evidence to improve and evaluate programs.

The RPP used evidence to inform Guilford leaders’ recovery approaches and strengthened researchers’ evaluations of programs. Conditions that enabled evidence engagement included the RPP’s goals, research activities and collaborative conditions such as boundary spanning activities, team meetings, relationships and trust. We also observed factors that hindered evidence engagement, including the RPP’s nascent stage, structure and breadth of goals, rapid policy timelines and other organizational conditions in Guilford.

Given the complexities of pandemic recovery, RPPs can help researchers evaluate programs in their local context, and present evidence in ways that are actionable to guide decision-making. District leaders can play a valuable role in co-designing research studies attuned to local priorities and context and facilitating research participation among internal stakeholders. However, newly formed RPPs with broad goals for impact will need more time and resources to build an improvement infrastructure for sustaining pandemic recovery.

This paper takes the manufacturing cluster supply chain as the research object and explores the evaluation and enhancement strategy of manufacturing cluster supply chain synergy. The purpose of this study was to (1) analyze the mechanism of manufacturing cluster supply chain synergy; (2) construct manufacturing cluster supply chain synergy evaluation model; (3) algorithm realization of manufacturing cluster supply chain synergy evaluation and (4) propose manufacturing cluster-based supply chain synergy enhancement strategy.

Breaking through the limitations of traditional manufacturing cluster supply chain synergy evaluation, we take horizontal synergy and vertical synergy as coupled synergy subsystems, use the complex system synergy model to explore the horizontal synergy between core enterprises and cluster enterprises and the vertical synergy of supply chain enterprises and use the coupling coordination model to construct the coupled synergy evaluation model of manufacturing cluster supply chain, which is an innovation of the evaluation perspective of previous cluster supply chain synergy and also an enrichment and supplementation of the evaluation methodology. This is not only the innovation of the evaluation perspective but also the enrichment and supplementation of the evaluation method.

Using Python software to conduct empirical analysis on the evaluation model, the research shows that the horizontal and vertical synergies of the manufacturing cluster supply chain interact with each other and jointly affect the coupling synergy. On this basis, targeted strategies are proposed to enhance the synergy of the manufacturing cluster supply chain.

This study takes manufacturers, suppliers and sellers in the three-level supply chain as the research object and does not consider the synergistic evaluation between distributors and consumers in the supply chain, which can be further explored in this direction in the future.

Advanced manufacturing clusters, as the main force of manufacturing development, and the synergistic development of supply chain are one of the important driving forces for the high-quality development of China’s manufacturing industry. As a new type of network organization coupling industrial clusters and supply chains, cluster supply chain is conducive not only to improving the competitiveness of cluster supply chains but also to upgrading cluster supply chains through horizontal synergy within the cluster and vertical synergy in the supply chain.

Research can help accelerate the transformation and upgrading of clustered supply chains in the manufacturing industry, promote high-quality development of the manufacturing industry and accelerate the rise of the global value chain position of the manufacturing industry.

(1) Innovation of research perspective. Starting from two perspectives of horizontal synergy and vertical synergy, we take a core enterprise in the cluster supply chain as the starting point, horizontally explore the main enterprises of the cluster as the research object of horizontal synergy, vertically explore the upstream and downstream enterprises of the supply chain as the research object of vertical synergy and explore the coupling synergy of cluster supply chain as two subsystems, which provides new perspectives of evaluation of the degree of synergy and synergy evaluation. (2) Innovation of research content. Nine manufacturing clusters are selected as research samples, and through data collection and model analysis, it is verified that the evaluation model and implementation algorithm designed in this paper have strong practicability, which not only provides methodological reference for the evaluation of manufacturing cluster-type supply chain synergy but also reduces the loss caused by the instability of clusters and supply chains and then provides a theoretical basis for improving the overall performance of cluster-type supply chains.

Reflexivity supports research teams in developing and implementing interdisciplinarity perspectives, but there is still limited literature on this topic. To fill this gap, we explore how reflexivity can support a research team in its interdisciplinary efforts to create new knowledge for disaster risk reduction.

We present the reflexive journey of our interdisciplinary research team consisting of Ecuador- and UK-based researchers from the social sciences, physical sciences and the arts and humanities and conducting multi-hazard research on Quito. By triangulating data obtained from different material collected during the reflexive journey, we discuss examples of how our team employed reflexivity towards interdisciplinarity.

The reflexive journey allowed our interdisciplinary team to acknowledge and give value to its diversity; to discuss disciplinary language differences, and to gradually develop interdisciplinary working practices and conversations. The journey demonstrates how reflexive practices within research teams allow researchers to overcome disciplinary differences and promote interdisciplinarity to reach research outcomes.

Our reflexive experience shows that adopting reflexivity can be effective in both enhancing interdisciplinarity and addressing the complex nature of risk.