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Evaluating project success within the construction industry presents challenges due to the unique characteristics of the sector, the complexity of projects, and the involvement of diverse stakeholders. Conducting a bibliometric analysis, this paper aims to unravel the major research themes and methodologies utilised by researchers in studying the critical success criteria for construction projects, as well as extracting these success criteria.

The researchers systematically searched and screened 95 papers from Scopus and Web of Science (WoS) databases. This study conducted research focus parallelship network (RFPN) analysis and keywords co-occurrence network (KCON) analysis using BibExcel and Gephi to cluster the papers, illuminate the relationships among keywords within each cluster, and identify the primary research directions.

Using the RFPN analysis, this study classified the papers into three distinct clusters: infrastructure and public projects success, risk and knowledge management, and contractors and procurement management. Statistical techniques such as structural equation modelling (SEM) and multi-criteria decision-making methods such as analytic hierarchy process (AHP) have been used to analyse project success in the construction industry.

Considering the intensified demand for streamlined digital interactions and the increasing emphasis on sustainability and safety performance, construction companies are recommended to allocate greater investments toward the automation and digitisation of their products and processes. Prioritising modular construction and embracing transformative technologies alongside data science is crucial for enabling well-informed decision-making, and enhancing project success.

This study contributes to the existing body of knowledge by conducting a quantitative and systematic evaluation of the literature on project success criteria in the construction industry and uncovering key research areas. It addresses the pressing need to understand the complexities of construction projects amidst evolving industry dynamics and emerging disruptions. Moreover, by highlighting the implications of digital innovations and modular construction, this study urges deeper exploration into their impact on project performance and stakeholder satisfaction. This research sets a comprehensive framework for investigating the interplay between project complexity, technological advancements, and sustainable practices in the construction sector, paving the way for strategic advancements in the field.

Applying the Innovation Resistance Theory, this study aims to examine the effects of contextual and trait stressors on consumer engagement and wellbeing in the context of service robots.

Data were collected from 560 users who interacted with a service robot at a library and a museum. The data were analyzed using Smart PLS 4.0.

The findings show the significant negative effects of perceived intrusion on consumer engagement and wellbeing. In addition, technology anxiety exhibited a significant positive effect on consumer engagement and wellbeing, whereas consumer engagement predicted wellbeing. Moreover, the findings highlight the importance of consumer engagement as a key mediator between the stressors and wellbeing.

The findings equip service managers with the necessary information to effectively integrate service robots in an inclusive manner that resonates with consumer engagement and wellbeing.

This research uses field data to empirically validate the effects of contextual and trait stressors on consumer resistance to service robots.

The current research environment lacks a thorough examination of project success in specific domains, particularly in the context of dam project performance. Although there is a significant amount of study and a wide range of project management subjects, there is a clear absence of empirical research on dams. The purpose of this study is to fill in the knowledge gap on how to improve the performance of dam construction projects by focusing on the planning phase.

The study utilized a survey to gather the perspectives of professionals involved in dam projects regarding critical success factors and success criteria during the project planning phase. The collected data were then analyzed using exploratory factor analysis and structural equation modeling.

Four dimensions were identified for critical success factors: “project team,” “project readiness,” “engagement” and “long-term impact.” For project success criteria, “fulfill identified needs,” “functionality,” “quality performance” and “sustainability” were identified as having significance in measuring project success.

The article provides suggestions on how the dam engineering industry can include the identified project elements that are associated with project success. The study's significance stems from its substantial contribution to the limited literature on dam projects.

The purpose of the study is to observe the feasibility of missing middle housing’s (MMH) realization under density-based zoning, form-based zoning and a combination of both while simultaneously providing affordable housing, improving quality of life and making efficient use of land.

This study takes a theorist approach and designs three hypothetical cottage court projects that comply with all relevant official local zoning ordinances to showcase design feasibility, followed by an analytical component in the form of a financial model constructed using official local economic and demographic conditions.

MMH, and in particular cottage clusters, can be implemented under rigorous density-based, form-based and hybrid (density-based + form-based) zoning ordinances and provide affordable housing (Atlanta, GA), improve quality of life (Blackpool, UK) and make efficient use of land (Jinan, China). All hypothetical projects are financially feasible under reasonable conditions.

To the best of the author’s knowledge, this paper is the first in the body of knowledge to discuss how the MMH can be integrated into urban density-based zoning rather than converting density-based zoning into form-based so that the MMH can fit. The paper also takes a cross-national perspective and discusses the feasibility of MMH in the resolution of housing issues in the USA, China and the UK. The study also concludes that the issue of housing unaffordability in the UK was caused by high construction cost relative to median income.

The purpose of this study is to contribute to the existing literature on the importance of mentorship in academia, particularly in higher education. Specifically, this study aims to address the research gap related to academic mentorship from a gendered perspective. The Productive Mentoring Framework and relational–cultural theory theoretically support this study.

In this qualitative descriptive study, purposive sampling was used to recruit 19 participants for semi-structured interviews and a focus group. Two research questions guided this study: (1) How do individuals who identify as women describe the importance of mentorship in academia? (2) How do individuals who identify as women describe mentorship in academia from a gendered perspective? Using Braun and Clarke’s (2006) thematic analysis, a total of six themes emerged, with three themes identified for each of the two research questions from the data: (a) guidance and support, (b) personal and professional development, (c) inclusive and accountable relationships, (d) empathetic and supportive mentorship, (e) interpersonal connectivity and (f) gender empowerment and advocacy.

The research findings suggest that the participants held perceptions of gender disparity within academia. Additionally, empowering interpersonal relationships with other women and supportive environments were crucial in overcoming challenges and developing personally and professionally in higher education institutions. Future research is recommended to explore the perspectives of women supporting women and the perception of gender disparity in academia.

While successfully addressing the research questions, this study has limitations. One limitation was that this study had a relatively small sample size of participants who identified as women, which limited the focus of this research. Another limitation was that interview and focus group participants did not mention working with mentors who fall outside the traditional binary of male and female. Finally, limitations can occur in qualitative research as there is potential bias in the data analysis process. However, member-checking and codebook verification were utilized to minimize this constraint.

There are practical implications from the research for mentoring practices in academia. Since the results indicated benefits to women, institutions could prioritize mentoring programs, especially pairing same-gender mentors and mentees. This helps new employees navigate academia. Mentoring fosters interpersonal connectivity, improving academic culture. By supporting mentoring relationships and professional friendships, leaders positively impact dynamics within institutions. Gender disparities and systemic barriers call for advocacy within higher education. Mentor training programs should address these issues, providing a platform for solutions. Administrators' awareness may support efforts to improve equity.

The study is original in its focus on academic mentorship from a gendered perspective, as described by women in academia, notably higher education.

Dam industry projects have significant economic, social and environmental impacts. However, very little has been carried out to improve their lifecycle performance. The purpose of this study is to identify success criteria applicable to different stages of such projects.

This study adopted a quantitative research design where the potential success criteria for dam engineering projects were evaluated. The applicable success criteria were determined for the four phases of project lifecycle by three rounds of Delphi technique with the participation of experts from dams industry in Australia.

The findings of this research suggest that project success is a multidimensional notion and varies over lifecycle of projects. This study on project success criteria shows that certain criteria can be applied to measure success in different phases over lifecycle of Australian dam industry projects.

The results of this research present the first exclusive quantitative assessment of success criteria for dams industry. The success criteria presented in this study enable project practitioners to measure success at various stages of dam industry projects. This can serve as a tool to put more management efforts into achieving success on those criteria.

The global construction industry has a history of poor project success, with evident and frequent overruns in cost and schedule. This industry is a highly interconnected and complex system in which the components, i.e. suppliers, contractors, end-users, and stakeholders, are delicately linked to each other, the community, and the environment. Therefore, defining and measuring project success can be challenging for sponsors, contractors, and the public. To address this issue, this study develops and analyzes a more comprehensive set of success criteria for medium and large construction projects.

After reviewing the existing literature, this study identified 19 success criteria for medium and large construction projects, which were categorized into five groups. The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) method was used to gain further insight into the interrelationships between these categories and explain the cause-and-effect relationships among them. Next, this study applied the modified logarithmic least squares method to determine the importance weight of these criteria using the fuzzy analytic hierarchy process.

28 project managers working in the construction industries in Australia and New Zealand participated in this study. Results suggest that “project efficiency” and “impacts on the project team” are cause criteria that affect “business success,” “impacts on stakeholders,” and “impacts on end-users.” Effective risk management emerged as the most crucial criterion in project efficiency, while customer satisfaction and return on investment are top criteria in “impacts on end-users” and “business success.”

Although numerous studies have been conducted on project success criteria, multicriteria analyses of success criteria are rare. This paper presents a comprehensive set of success criteria tailored to medium and large construction projects. The aim is to analyze their interrelationships and prioritize them thoroughly, which will aid practitioners in focusing on the most important criteria for achieving higher success rates.

This study investigates the role of environmental, social and governance (ESG) policies in enhancing the resilience of Chinese firms during the COVID-19 crisis. By analyzing data from over 3,069 publicly listed companies, the research aims to elucidate the impact of robust ESG practices on stock market performance and operational outcomes during economic disruptions.

Using a dataset comprising ESG scores and financial performance metrics of Chinese firms, we conduct an empirical analysis to assess the correlation between ESG practices and corporate resilience during the COVID-19 pandemic. The study focuses on evaluating the individual contributions of the social and governance components to overall firm performance.

The analysis reveals that firms with higher ESG scores, especially in social and governance aspects, exhibit superior stock market performance and operational outcomes during the pandemic. Companies with strong governance mechanisms demonstrate more pronounced benefits, including better long-term sales growth and return on equity (ROE). The findings highlight the critical role of ESG policies in ensuring corporate stability and competitive advantage during crises.

This article provides a comprehensive overview of the impact of corporate ESG ratings on corporate trust and offers a detailed discussion on the protective role of ESG/CSR on firm value during crises, thus providing an original literature contribution.

The circular design process in contemporary fashion design, from two-dimensional (2D) sketching and pattern making to three-dimensional (3D) prototypes, can be facilitated by virtual prototyping. Virtual pressure representations on avatars provide visual and quantitative information regarding garment fit and comfort, which are particularly important for active wear. The purpose of this study is to investigate the benefits of using avatars in active poses from 3D body scans and the use of digital 3D tools for the design process and the prediction of fit of active wear.

This research initially explores virtual fit of cycling wear in active poses and compares the actual pressure values from humans with virtual pressure maps on custom avatars made from body scans in cycling poses across a range of sizes.

Similar fit results were achieved visually in both the standing and cycling poses. However, the comparisons showed no correlation between the actual and virtual pressure data. Of the 32 cases representing different combinations of the parameters of this research (four sizes, two garment types, four active poses), the differences were significant. The results suggest that, rather than providing a direct correlation with pressure values on the body, the main value of avatar data is in providing comparative visual support for fit evaluation.

The approach taken in this research, which considers the active pose and the size range, potentially contributes to the improvement of virtual fit technology, and its more effective use in apparel product development and fit evaluation.

Bibliotherapy, a therapeutic approach that uses books and reading materials to promote psychological well-being and personal growth, has become more prevalent in recent years. This scientometric study aims to provide a comprehensive view of the bibliotherapy research landscape by highlighting its evolution, trends, and noteworthy contributions using Biblioshiny and VOSviewer.

The academic literature on bibliotherapy is evaluated in-depth in this study utilizing scientometric techniques, including citation and co-citation analysis. A thorough search of the Scopus database revealed 1,703 papers between 1942 and 2023 that dealt with bibliotherapy. For data analysis, the renowned applications Biblioshiny and VOSViewer are employed.

The study reveals that the output of publications has fluctuated, reflecting scholarly interest in this discipline. The distribution of research across various countries, organizations and academic subjects is investigated further to highlight the diverse and global extent of bibliotherapy research. By analyzing co-citation networks and locating pertinent publications and authors, this scientometric method analyzes the intellectual structure of bibliotherapy research.

Bibliometric analysis enriches the theoretical understanding of bibliotherapy by unveiling the networks, influential works and existing gaps in the literature, thus guiding a more informed and collaborative approach to future research and practice in the domain.

Employing bibliometric analysis in bibliotherapy can refine practices and training programs, ensuring they are evidence-based and practical, enhancing the quality of therapeutic services provided to individuals.

It is a valuable resource for academics, practitioners and policymakers interested in the field since it offers a thorough and current assessment of the bibliotherapy research landscape. The findings of this study have the potential to steer future research, guide the development of bibliotherapeutic interventions supported by evidence and enhance the use of bibliotherapy as a therapeutic modality.