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This study evaluates the knowledge structure of building information modeling (BIM) in green buildings. Buildings are one of the main contributors to carbon emissions, and implementing BIM in green buildings is seen as an indispensable approach to mitigate environmental and climate change issues.

Through a bibliometric analysis, 297 publications retrieved from the Web of Science (WoS) were analyzed to explore their intellectual structure.

Bibliographic coupling analysis produced four clusters on current and emerging trends, while co-word analysis produced four clusters on future BIM and green building trends. Current and emerging trends revolve around BIM adoption in green and existing buildings, life cycle analysis (LCA) and sustainable rating tools. Future trends related to BIM and performance analysis and optimization, the BIM framework for green building design and construction, overcoming barriers and maximizing benefits in BIM adoption.

The implications of this study are relevant to all BIM and green building stakeholders, including developers, engineers, architects, occupants, tenants and the whole community.

This study examines the crucial integration of BIM and green building within the more extensive construction and building field scope.

The capacity of organizations to adapt swiftly and implement innovative approaches has ignited discussions about which human resource management (HRM) practices can foster creativity and innovative work behavior (IWB) among employees. Research suggests that IWB thrives in an environment where HRM acts as the architect, influencer and developer. However, our understanding of the specific HRM practices that promote innovative work behaviors remains limited. Existing studies offer scattered and occasionally conflicting insights, particularly concerning measurements and theoretical frameworks that could enable greater generalizability. Consequently, a comprehensive review of the relationships between HRM, innovation and IWB could provide clearer evidence about how HRM impacts innovation. This research presents a bibliometric analysis of research on the relationship between HRM and IWB. The purpose of this analysis is to provide an in-depth overview of the current state and future prospects of HRM and IWB by examining past and current research trends and predict future research directions.

The study used a bibliometric approach to collect 280 journal articles from the Web of Science database. The study identifies the most influential publications, outlines the knowledge structure and forecasts future trends using co-citation and co-word analysis.

The results of the co-citation and co-word analysis revealed the existence of four clusters. While acknowledging some limitations, this review sheds light on the expanding field of HRM and IWB research.

The study provides a comprehensive understanding of HRM and IWB as well as insights into future advancements in the field.

This is the first study to use bibliometric analysis based on the Web of Science (WOS) database to conduct a quantitative evaluation of the HRM practice and IWB literature.

This research is the first to use bibliometric analysis to provide insight into the landscape and forecast the future of customer experience research in the banking sector.

We used bibliographic coupling and co-word analysis to delineate the existing knowledge structure after reviewing 338 articles from the Web of Science database.

The bibliographic coupling analysis revealed five key clusters: customer engagement and experience in digital banking; customer experience and service management; customer experience and market resilience; digital transformation and customer experience; and digital technology and customer experience—each representing a significant strand of current research. In addition, the co-word analysis revealed four emerging themes: customer experience through AI and blockchain, digital evolution in banking, experience-driven ecosystems for customer satisfaction, and trust-based holistic banking experience.

These findings not only sketch an overview of the current research domain but also hint at emerging areas ideal for scholarly investigation. While highlighting the industry’s rapid adaptation to technological advances, this study calls for more integrative research to unravel the complexities of customer experience in the evolving digital banking ecosystem.

This review presents a novel state-of-the-art analysis of customer banking experience research by employing a science mapping via bibliometric analysis to unveil the knowledge and temporal structure.

This study provide an in-depth review on the knowledge structure of green information technology (GIT) adoption and behavior. Environmental degradation has escalated even further with information and digital technology development. Researchers have come up with a new concept of GIT to dampen the carbon emission due to the excessive use of IT in today’s everyday usage. A similar terminology, green information system (GIS), is a rather broad understanding of GIT, which relates to the environmental management system to improve operations in the organization and will be included in the scope of the study.

This study presents a science mapping analysis through a bibliometric review to explore emerging trends and predict future trends based on 293 publications in the Web of Science.

The bibliographic coupling analysis discovered five themes related to the theoretical foundation of GIT and the determinants of their adoption. The five themes are (1) theoretical foundation in GIT, (2) determinants of green IT and IS adoption, (3) fundamental of GIT and information science, (4) green technologies and green computing and (5) determinants of managers green IT adoption behavior. While co-word analysis presents the impact of GIT, driving performance and energy efficiency through the adoption of GIT producing four themes, (1) GIT acceptance through the theory of planned behavior, (2) impact of GIT’s: strategies for sustainable implementation, (3) driving sustainable performance through green innovation in information systems and technology and (4) energy efficiency and sustainability in green computing and cloud computing.

The finding is relevant to managers, researchers and stakeholders bounded by environmental responsibilities to mitigate its impact on the socioeconomic and environment through GIT adoption.

The contribution of this study is presenting an in-depth analysis of the knowledge structure through bibliometric analysis by providing network visualization on one of the crucial pro-environmental behavior.

This study aims to provide a comprehensive overview of pro-environmental behavior (PEB) research within higher education institutions (HEIs), highlighting current trends and future challenges.

Using 198 journal articles from the Web of Science, the study conducts co-citation, bibliographic coupling and co-word analyses to map influential publications and forecast trends.

The co-citation analysis revealed three distinct clusters: value-driven environmental behavior, intention-based environmental behavior and green organizational practices and employee PEB. The bibliographic coupling and the co-word analysis revealed more nuanced clusters, holistically identifying academic activities towards PEB. The authors conclude that more strategic and PEB-oriented HEI’s actions are crucial due to the social responsibility of the universities for sustainable development.

This paper provides valuable insights into the expanding area of PEB research and climate leadership empowerment within HEIs. The practical implications of this research are significant for HEIs. It guides the creation of effective policies and interventions to foster sustainable behavior and reduce environmental harm. The study shows the development of educational programs and campaigns promoting sustainable practices among individuals and communities, emphasizing the role of HEIs in cultivating a sustainability-conscious generation.

In this paper we explore the gendered ways in which academic staff resistance and compliance is configured in a post-1992 University in England, including the emotions implicated in the navigation of neo-liberalisation and research intensification of their academic institution and its associated disciplinarian mechanisms.

We draw on data from an interview study of a diverse sample of 32 academics of different gender, discipline and academic grade. Analysis informed by a feminist post-structuralist framework of power and discourse explored different forms of academic resistance and compliance; how the embodied academic subject was (re)negotiated within gendered discourses of neo-liberal research excellence and managerialism and the gendered emotions generated in processes of resistance and compliance.

Institutional change and expectations to engage with research performativity generated fear, anxiety and anger. Female staff appeared to actively resist the masculinized research subject performing all hours work and individualism in the context of private and institutional gendered relations and labour. Male staff though actively resisted the feminization of higher education and the neo-liberal instrumentalization of caring and therapeutic cultures and ideologically resisted the surveillance mechanisms of higher education including the REF.

Our work contributes to scholarship problematizing the assumed neutrality of resistance and compliance and highlighting women’s symbolic struggle to (dis)identify with a masculine professional norm. In terms of theorising academic resistance to neo-liberalism and identity construction, further attention should be given to the mobilization and symbolic capital of academics and emotions positioned differently due to their gender and intersecting differences.

Our study addresses a gap in the scholarship of academic resistance and compliance by advancing the understanding of gender inequalities and emotions implicated in the process of resistance and compliance against neo-liberalism.

This study seeks to better understand if academic libraries are generating service policies broadly and if they differentiate between a customer service focus and research assistance perspective. It also examines the level of training and assessment conducted to maintain and update service policies.

Researchers developed an online survey collecting data on demographic, policy development, training and assessment practices.

Only a very small number of respondents reported having any kind of policy, regardless if it was a customer service or reference/research policy. Within the small number of libraries that reported having any sort of policy, an even smaller number perform any type of assessment on these policies. Furthermore, between the 2021 and 2023 deployments of the surveys, there was an obvious decrease in many areas surveyed.

The implications of this study can inform the development, implementation and assessment of library service policies at academic libraries.

In this paper, we address the need to study automatic propaganda detection to establish a course of action when faced with such a complex task. Although many isolated tasks have been proposed, a roadmap on how to best approach a new task from the perspective of text formality or the leverage of existing resources has not been explored yet.

We present a comprehensive study using several datasets on textual propaganda and different techniques to tackle it. We explore diverse collections with varied characteristics and analyze methodologies, from classic machine learning algorithms, to multi-task learning to utilize the available data in such models.

Our results show that transformer-based approaches are the best option with high-quality collections, and emotionally enriched inputs improve the results for Twitter content. Additionally, MTL achieves the best results in two of the five scenarios we analyzed. Notably, in one of the scenarios, the model achieves an F1 score of 0.78, significantly surpassing the transformer baseline model’s F1 score of 0.68.

After finding a positive impact when leveraging propaganda’s emotional content, we propose further research into exploiting other complex dimensions, such as moral issues or logical reasoning.

Based on our findings, we provide a roadmap for tackling propaganda-related tasks, depending on the types of training data available and the task to solve. This includes the application of MTL, which has yet to be fully exploited in propaganda detection.

This article reports on the development and evaluation of an online conflict coaching system. The authors develop and test a broadly applicable yet tailored Conflict Coach that extends the current practice of coaching. It provides diagnostics and advice across several emotions and dimensions of conflict drawn from research and conflict management practice.

The coach engages coachees through five emotions, divided into three levels of conflict intensity and ten dimensions of conflict to deliver analysis and advice “packets” derived from both research findings and practice. A Prolific survey used as a proxy for the coaching system was administered to 341 respondents. A variety of closed and open-ended questions were asked about the respondents’ chosen conflict, the packets of advice and about their overall experience.

The coach was judged as somewhat helpful, quite understandable, quite implementable and providing sufficient advice. A sampling of the findings signals the importance of dealing with anger and dislike and finding ways to communicate more effectively. Longer-term assessments indicated that the advice continued to be helpful and worth recommending to others. There are opportunities to further develop the prototype including through field testing and use of artificial intelligence.

To the best of the authors’ knowledge, the Conflict Coach is a first attempt to provide a widely available yet tailored online system for responding to conflict. It promises positive social and practice implications that extend upon and complement existing conflict management through increased accessibility to information and advice based on published research findings and practice. Research opportunities accompany its possible further development.

The purpose of this study is to model the relationship between quality of work life factors and turnover intention for auditors in Morocco.

The proposed research model gleaned from the literature is empirically tested using a structured questionnaire completed by 60 auditors working for Moroccan audit firms.

Tests results of partial least squares structural equation modelling provide evidence that “compensation and benefits” and “colleague support” have a significant negative impact on turnover intention while the “work–life balance,” “organizational prestige” and “workload pressure” are not predictive of turnover intention. Taken together, these results show that auditors are already aware of the work pressure they are under, and that adequate compensation and benefits and support from colleagues can alleviate and compensate this pressure.

This study adopted a non-previously tested research model, including quality of work life factors directly related to the auditing profession and their impact on turnover intention, examined in Morocco, which may provide new evidence to contemporary research conducted in developing countries with similar characteristics to the Moroccan auditing market.