bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of shear band evolution using discrete element modelling
Authors: Yang Yang , Tian Yinghui , Yang Runyu , Zhang Chunhui , Wang Le 
Published: January 2024

PurposeThe objective of this paper is to quantitatively assess shear band evolution by using two-dimensional discrete element method (DEM).Design/methodology/approachThe DEM model was first calibrated by retrospectively modelling existing triaxial tests. A series of DEM analyses was then conducted with the focus on the particle rotation during loading. An approach based on particle rotation was developed to precisely identify the shear band region from the surrounding. In this approach, a threshold rotation angle ω0 was defined to distinguish the potential particles inside and outside the shear band and an index g(ω0) was introduced to assess the discrepancy between the rotation response inside and outside shear band. The most distinct shear band region can be determined by the ω0 corresponding to the peak g(ω0). By using the proposed approach, the shear band development of two computational cases with different typical localised failure patterns were successfully examined by quantitatively measuring the inclination angle and thickness of shear band, as well as the microscopic quantities.FindingsThe results show that the shear band formation is stress-dependent, transiting from conjugated double shear bands to single shear band with confining stress increasing. The shear band evolution of two typical localised failure modes exhibits opposite trends with increasing strain level, both in inclination angle and thickness. Shear band featured a larger volumetric dilatancy and a lower coordination number than the surrounding. The shear band also significantly disturbs the induced anisotropy of soil.Originality/valueThis paper proposed an approach to quantitatively assess shear band evolution based on the result of two-dimensional DEM modelling.
Trajectories of depletion following witnessing incivility toward women: a time-lagged study
Authors: Arena Jr. David F. , Jones Kristen P. , Lindsey Alex P. , Sabat Isaac E. , DuBois Hayden T. , Tripathy Shovna C. 
Published: January 2024

PurposeThe authors aim to broaden the understanding of incivility through the lens of bystanders who witness incivility toward women. Integrating attributional ambiguity and emotional contagion theories with the literature on workplace mistreatment, the authors propose that witnessing incivility toward women may negatively impact bystanders.Design/methodology/approachThe authors collected multi-wave data from 324 employees to assess the consequences of witnessing incivility toward women at work for bystanders.FindingsUtilizing a serial mediation model, the authors found evidence that witnessing incivility toward women indirectly increased turnover intentions six weeks later, first through elevated negative affect and then through increased cognitive burnout.Originality/valueTaken together, this study's findings suggest that the negative effects of incivility toward women can spread to bystanders and highlight the importance of considering individuals who are not directly involved, but simply bear witness to incivility at work.
Understanding why do we stay in our jobs? A bibliometric and content analysis of job embeddedness in the past two decades (2001–2021)
Authors: Majumdarr Shubh , Dasgupta Shilpee A. 
Published: January 2024

PurposeJob embeddedness is considered crucial for organizational success, as it promotes social capital and helps to reduce turnover. A holistic review of job embeddedness remains elusive despite gaining researchers' and practitioners' attention. Therefore, this study aims to synthesize the past literature to understand the concepts and emerging themes in the domain. Further, it helps identify future research avenues and proposes a comprehensive conceptual framework.Design/methodology/approachThe study used bibliographic data of 263 Scopus-indexed publications from inception, i.e. 2001 to 2021, which were subsequently analyzed using diverse bibliometric and content analysis (TCCM) framework and software like Microsoft Excel, Vosviewer and “Biblioshiny” package in R language.FindingsThe study analyzes the domain via performance analysis which sheds light on the increasing publication trends and different significant contributors (authors, publications, countries, journals and universities). Science mapping techniques such as keyword analysis identifies author keyword evolution and trends. The content analysis showcases the dominance of diverse psychological theories applied in the domain. Also, the bibliographic-coupling analysis highlights major clusters and associated research publications. The study provides future research avenues, followed by a conceptual framework highlighting the antecedents, moderators and outcomes of job embeddedness.Originality/valueThis study is the first bibliometric and content analysis exploring job embeddedness and will aid in developing a comprehensive understanding of the research topic.
Exploring the critical success factors of information security management: a mixed-method approach
Authors: Chen Hao , Hai Yuge 
Published: January 2024

Purpose
Effective information security management (ISM) contributes to building a healthy organizational digital ecology. However, few studies have built an analysis framework for critical influencing factors to discuss the combined influence mechanism of multiple factors on ISM performance (ISMP). This study aims to explore the critical success factors and understand how these factors contribute to ISMP.

Design/methodology/approach
This study used a mixed-method approach to achieve this study’s research goals. In Study 1, the authors conducted a qualitative analysis to take a series of International Organization for Standardization/International Electrotechnical Commission standard documents as the basis to refine the critical factors that may influence organizations’ ISMP. In Study 2, the authors built a research model based on the organizational control perspective and used the survey-based partial least squares-based structural equation modeling (PLS-SEM) approach to understand the relationships between these factors in promoting ISMP. In Study 3, the authors used the fuzzy set qualitative comparative analysis (fsQCA) method to empirically analyze the complex mechanisms of how the combinations of the factors affect ISMP.

Findings
The following three research findings are obtained. First, based on the text-based qualitative analysis, the authors refined the critical success factors that may increase ISMP, including information security policies (ISP), top management support (TMS), alignment (ALI), information security risk assessment (IRA), information security awareness (ISA) and information security culture (ISC). Second, the PLS-SEM testing results confirmed TMS is the antecedent variable motivating organization’s formation (ISP) and information control (ISC) approaches; these two types of organization control approaches increase IRA, ISA and ALI and then promote ISMP directly and indirectly. Third, the fsQCA testing results found two configurations that can achieve high ISMP and one driving path that leads to non-high ISMP.

Originality/value
This study extends knowledge by exploring configuration factors to improve or impede the performances of organizations’ ISM. To the best of the authors’ knowledge, this study is one of the first to explore the use of the fsQCA approach in information security studies, and the results not only revealed causal associations between single factors but also highlighted the critical role of configuration factors in developing organizational ISMP. This study calls attention to information security managers of an organization should highlight the combined effect between the factors and reasonably allocate organizational resources to achieve high ISMP.
Integrated approach for facility management of existing buildings using point cloud segmentation
Authors: Marzouk Mohamed , Zaher Mohamed 
Published: January 2024

PurposeFacility management gained profound importance due to the increasing complexity of different systems and the cost of operation and maintenance. However, due to the increasing complexity of different systems, facility managers may suffer from a lack of information. The purpose of this paper is to propose a new facility management approach that links segmented assets to the vital data required for managing facilities.Design/methodology/approachAutomatic point cloud segmentation is one of the most crucial processes required for modelling building facilities. In this research, laser scanning is used for point cloud acquisition. The research utilises region growing algorithm, colour-based region-growing algorithm and Euclidean cluster algorithm.FindingsA case study is worked out to test the accuracy of the considered point cloud segmentation algorithms utilising metrics precision, recall and F-score. The results indicate that Euclidean cluster extraction and region growing algorithm revealed high accuracy for segmentation.Originality/valueThe research presents a comparative approach for selecting the most appropriate segmentation approach required for accurate modelling. As such, the segmented assets can be linked easily with the data required for facility management.
Exploring the role of ChatGPT in higher education: opportunities, challenges and ethical considerations
Authors: Zeb Ali , Ullah Rafid , Karim Rehmat 
Published: January 2024

PurposeThis paper aims to examine the opportunities and challenges of using ChatGPT in higher education. Furthermore, it is also discuss the potential risks and plunders of these tools.Design/methodology/approachThe paper discuss the use of artificial intelligence (AI) in academia and explores the opportunities and challenges of using ChatGPT in higher education. It also highlights the difficulties of detecting and preventing academic dishonesty and suggests strategies that universities can adopt to ensure ethical and useful use of these tools.FindingsThe paper concludes that while the use of AI tools, ChatGPT in higher education presents both opportunities and challenges. The universities can effectively address these concerns by taking a proactive and ethical approach to the use of these tools. This paper further suggests that universities should develop policies and procedures, provide training and support, to detect and prevent cheating intentions.Originality/valueThe paper provides insights into the opportunities and challenges of using ChatGPT in higher education, as well as strategies for addressing concerns related to academic dishonesty. The paper further adds importance to the discussion on the ethical and responsible use of AI tools in higher education.
How does employee financial well-being influence employee productivity: a moderated mediating examination
Authors: Bashir Ifra , Qureshi Ishtiaq Hussain , Ilyas Zahid 
Published: January 2024

PurposeDrawing from the combined theoretical approaches of the conservation of resources theory, broaden-and-build theory of positive emotions and social cognitive theory, the current study examined the relationships between employee financial well-being and employee productivity via employee happiness while exploring the moderating role of gender in this mediated relationship.Design/methodology/approachUsing partial least squares approach for structural equation modeling, the hypothesized model was tested employing primary data collected from banking employees.FindingsThe results showed that employee financial well-being has a significant positive effect on employee productivity and this effect was mediated by employee happiness. In addition, the results showed that this indirect effect was moderated by gender such that the relationship was more pronounced in males (versus females).Originality/valueThis study contributes to the nescient research on the consequences of financial well-being especially at an organizational level, with several implications for individuals, employees and organizations, while at the same time offering new insights for future investigation.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0676
Exploring the factors affecting the adoption AI techniques in higher education: insights from teachers' perspectives on ChatGPT
Authors: Al-Mughairi Habiba , Bhaskar Preeti 
Published: January 2024

PurposeChatGPT, an artificial intelligence (AI)-powered chatbot, has gained substantial attention in the academic world for its potential to transform the education industry. While ChatGPT offers numerous benefits, concerns have also been raised regarding its impact on the quality of education. This study aims to bridge the gap in research by exploring teachers' perspectives on the adoption of ChatGPT, with a focus on identifying factors that motivate and inhibit them to adopt ChatGPT for educational purposes.Design/methodology/approachThis research has employed a interpretative phenomenological analysis (IPA) qualitative approach. Through in-depth interviews among the teachers, data will be collected to identify the motivating and inhibiting factors that impact teachers' willingness to adopt ChatGPT. The data was collected from 34 teachers working across 10 branches of the University of Technology and Applied Sciences (UTAS) in Oman.FindingsThe analysis revealed four themes under motivating factors that encourage teachers to adopt ChatGPT for their educational purpose. These include Theme 1: Exploration of innovative education technologies, Theme 2: Personalization teaching and learning, Theme 3: Time-saving and Theme 4: Professional development. On the other hand, inhibiting factors includes five themes which includes Theme 1: Reliability and accuracy concerns, Theme 2: Reduced human interaction, Theme 3: Privacy and data security, Theme 4: lack of institutional support and Theme 5: Overreliance on ChatGPT.Practical implicationsThis study contributes to the understanding of teachers' perspectives on the adoption of ChatGPT in education. By understanding teachers' perspectives, policymakers can design appropriate policies and service providers can customize their offerings to meet teachers' requirements. The study's findings will be valuable for higher education institutions (HEIs) in formulating policies to ensure the appropriate and effective utilization of ChatGPT. The study will provide suggestions to ChatGPT service providers, enabling them to focus on motivating factors and address inhibiting factors, thereby facilitating the seamless adoption of ChatGPT among teachers.Originality/valueIn comparison to previous studies, this study goes beyond merely discussing the possible benefits and limitations of ChatGPT in education. This research significantly contributes to the understanding of ChatGPT adoption among teachers by identifying specific motivating and inhibiting factors that influence teachers to adopt ChatGPT for educational purposes. The research enables to gain important new insights that were not previously found, giving a fresh dimension to the existing literature.
Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach
Authors: Abdul-Rahman N. Aishah , Rahman Rahimi A. , Alias Ahmad Rizal 
Published: January 2024

PurposeThis study aims to develop an interrelation model between critical parameters for assessing the construction readiness (CR) of abandoned housing projects, using Malaysia as a case study. To achieve that aim, the study objectives are to (1) identify critical parameters for assessing the CR of abandoned housing projects; (2) develop underlying constructs to categorize interrelated critical parameters and (3) assess the influence of the underlying constructs on the CR of abandoned housing projects.Design/methodology/approachThis study identifies potential parameters for assessing the CR of abandoned housing projects by reviewing existing literature and interviewing industry professionals. Then, the list was used to develop a questionnaire survey. The collected survey data were analyzed using normalized mean analysis to identify the critical parameters. Exploratory factor analysis (EFA) was used to develop underlying constructs to categorize interrelated critical parameters. Finally, the influence of the underlying constructs on the CR of abandoned housing projects was examined through partial least squares structural equation modeling (PLS-SEM).FindingsThe analyses suggest that 21 critical parameters are affecting the CR of abandoned housing projects. The critical parameters can be categorized into four underlying constructs: construction site evaluation, management verification, uncertainties mitigation and document approval. Finally, the analyses confirmed that all four constructs affect the CR of abandoned housing projects.Originality/valueThis study is a pioneering effort to quantitatively analyze the parameters for assessing the CR of abandoned housing projects. The findings significantly benefit researchers and industry professionals by providing a list of critical parameters associated with the CR of abandoned housing projects.
COVID-19 pandemic: transformation from physical to virtual classrooms (mediation analysis using PLS-SEM)
Authors: Sharma Mamta , Dubey Taruna , Chahal Hardeep 
Published: January 2024

PurposeThe purpose of this paper is threefold: first, to examine the influence of the quality of online classes on student satisfaction and student loyalty; second, to explore the mediating role of student participation between online classes and student satisfaction; third, to examine the mediating role of student satisfaction between online classes and student loyalty.Design/methodology/approachThe primary data is collected from the postgraduate students in Jammu and Kashmir, India. A descriptive research design was applied to collect the primary data via Google questionnaire with the COVID-19 pandemic in mind to maintain social distance.FindingsThe result reveals that online classes and student participation positively affect student satisfaction. Student participation is a partial mediator between online classes and student satisfaction, with 0.393 Variance Accounted For (VAF). In comparison, it is a full mediator between online classes and student loyalty with 0.96 VAF.Research limitations/implicationsThe current study was restricted to postgraduate students, while future research could include research scholars, graduate students, and others. Only government institutions in Jammu and Kashmir were employed for the present study. The study may eventually be expanded to include private universities and more states.Practical implicationsThe suggested approach can help teachers, students, policymakers and administrators. The study emphasizes the crucial elements of student engagement and happiness, which must be prioritized to improve online teaching and learning effectiveness and win over students' loyalty.Originality/valueThe study tested the conceptual framework of an integrated approach connecting online classes, student participation, student satisfaction and student loyalty. The study was conducted during the COVID-19 pandemic lockdown period, as it was the need of the hour to come out of such a crisis in the future. The present study can also provide a roadmap for transformation from physical to virtual classrooms.
Airbnb exits China: insights from platform competition
Authors: Huang Dan , Huang Songshan (Sam) 
Published: January 2024

Purpose
This study aims to provide insights into Airbnb’s exit from the China market, specifically from the perspective of platform competition.

Design/methodology/approach
Based on the understanding of the evolution and competition of peer-to-peer (P2P) accommodation market in China and the double-edged network effects, this viewpoint article provides an in-depth discussion on Airbnb’s withdrawal from the China market.

Findings
This viewpoint paper contends that Airbnb faced increasing challenges in establishing unique competitive advantages against local rivals, who demonstrate a capacity for innovation and maintaining loyal customers in adapting to the market evolution. Consequently, this may inhibit Airbnb from attracting the mainstream market and lead Airbnb into a negative spiral, exacerbated by indirect network effects.

Originality/value
This study offers insights into the failure of an internationalisation process, drawing from an analysis of the competitive environment and the competition strategies of P2P accommodation platforms in China. These findings have practical implications for the implementation of international business strategies in P2P accommodation.
The influence of transformational leadership on self-efficacy and knowledge sharing of teachers: moderating role of knowledge-oriented school culture
Authors: Hoang Tue Ngoc , Le Phong Ba 
Published: January 2024

PurposeThe purpose of this study is to investigate the effect of transformational leadership (TL) of school leaders on tacit and explicit knowledge sharing (KS) of teachers via the mediating roles of knowledge self-efficacy. This study also attempts to bring a deeper insight on the correlation between TL and KS by exploring the moderating effect of knowledge-oriented school culture (KSC).Design/methodology/approachThe paper used the quantitative approach and structural equation modeling to test the relationship among the latent factors in the proposed research model using data collected from 335 teachers in Vietnamese universities.FindingsThe findings revealed that TL might be an important precursor to create significant influences on tacit and explicit KS behaviors of teachers directly or indirectly through its positive effect on knowledge self-efficacy. In addition, the paper highlights the moderating role of KSC in strengthening the impact of TL on tacit and explicit KS behaviors of teachers.Research limitations/implicationsThis paper offers principals and managers in higher education a novel approach and valuable understanding of the effective pathways to foster KS behaviors of teachers.Originality/valueThis study is unique in its attempts to bridge research gaps in the literature and advance the insights of how school leadership fosters knowledge self-efficacy and KS willingness of teachers through practicing TL style and building a knowledge-oriented climate in higher education.