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Prior research has demonstrated that temporal leadership brings benefits, whereas scholars know little about its potential drawbacks. This study aims to explore the positive and negative effects of temporal leadership.

A three-wave, multi-source survey was conducted to examine the theoretical model and test hypotheses. Multi-level analysis was performed using Mplus 7.4 and the R package for Monte Carlo simulations.

This study reveals that temporal leadership both decreases employee proactive behavior through emotional exhaustion and increases it through job absorption. Shared temporal cognitions buffer the effect of temporal leadership on emotional exhaustion and its indirect effect on proactive behavior through emotional exhaustion. Conversely, shared temporal cognitions strengthen the effect of temporal leadership on job absorption and its indirect effect on proactive behavior through job absorption.

Our findings show that temporal leadership has costs and benefits. Thus, it is essential to manage temporal leadership behavior.

Our research provides new insight into understanding the costs and benefits of temporal leadership.

Existing research has generally viewed that temporal leadership has positive impacts on employees but ignores its potential drawbacks. This study aims to develop a model to explore its possible negative impacts on employees, drawing upon social information processing theory.

This study conducts a multi-wave and multisource survey to test the model, and the authors test the hypotheses with multi-level analysis using Mplus 7.4 and R package for Monte Carlo.

Results suggest that temporal leadership induces employee work alienation, thus leading to employee silence. Furthermore, shared temporal cognitions moderate both the relationship between temporal leadership and work alienation and the indirect effect of temporal leadership on employee silence via work alienation.

Taken together, this study reveals the potential dark side of temporal leadership and provides a more comprehensive and dialectical research perspective for temporal leadership literature.

The purpose of this study is to investigate whether Chinese college students' social cyberloafing out of class has a curvilinear effect on academic performance and whether students' levels of psychological detachment and relaxation mediate the effect.

A field survey was used to collect 502 self-reported responses from student Internet users at a large university located in central China.

The results show an inverted U-shaped relationship between social cyberloafing out of class and academic performance. Two types of effort recovery experience gained from social cyberloafing, psychological detachment and relaxation, mediate that effect. Students' social cyberloafing out of class is positively associated with psychological detachment and relaxation, which in turn, have opposite effects on academic performance.

This study offers novel insights into the effects of social cyberloafing on college students' academic achievement. The findings illustrate how social cyberloafing can serve as a recovery experience and improve academic performance, but it can hinder performance if the cyberloafing is excessive.

This study extends the cyberloafing literature by focusing on Chinese college students' cyberloafing out of class. The study finds that a moderate amount of social cyberloafing out of class can result in psychological detachment, relaxation and improved performance when returning to academic work. However, both too much or too little social cyberloafing can result in difficulty returning to academic work and reduced academic performance. The findings are novel to the cyberloafing literature.

Grounding the research in the stimulus-organism-resource (S-O-R) framework, this study aims to address the research gap of explaining and predicting the relationship between price discounts, interactivity and professionalism on college students’ purchasing intention in live-streaming shopping. It also attempts to understand if trust plays the role of mediator in the effect of these relationships.

This study collected data using a questionnaire protocol adapted and refined from the original scales in existing studies. The partial least squares structural equation modeling was used to analyze data collected from 258 college students in China. Other than assessing the path model’s explanatory power, this study examined the model’s predictive power toward predicting new cases using PLS predict.

Results indicated that all three predictors have a positive significant relationship with trust, while only price discounts demonstrate a significant relationship with purchase intention. Simultaneously, the mediation results provide support to the S-O-R framework demonstrating that external factors (professionalism, interactivity and price discounts) can arouse organism (trust), which in return, generate a behavioral outcome (purchase intention).

This study is the first few studies that focus on college students’ behavioral responses in an online shopping environment. At the same time, this is the first study supplement the explanatory perspective with a predictive focus, which is of particular importance in making sound recommendations on managerial decision-making.

This paper aims to propose and evaluate an intrusion sensitivity (IS)-based approach regarding the detection of pollution attacks in collaborative intrusion detection networks (CIDNs) based on the observation that each intrusion detection system may have different levels of sensitivity in detecting specific types of intrusions.

In this work, the authors first introduce their adopted CIDN framework and a newly designed aggregation component, which aims to collect feedback, aggregate alarms and identify important alarms. The authors then describe the details of trust computation and alarm aggregation.

The evaluation on the simulated pollution attacks indicates that the proposed approach is more effective in detecting malicious nodes and reducing the negative impact on alarm aggregation as compared to similar approaches.

More efforts can be made in improving the mapping of the satisfaction level, enhancing the allocation, evaluation and update of IS and evaluating the trust models in a large-scale network.

This work investigates the effect of the proposed IS-based approach in defending against pollution attacks. The results would be of interest for security specialists in deciding whether to implement such a mechanism for enhancing CIDNs.

The experimental results demonstrate that the proposed approach is more effective in decreasing the trust values of malicious nodes and reducing the impact of pollution attacks on the accuracy of alarm aggregation as compare to similar approaches.

Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach to investigate and scrutinize the key indicators of safety hazards leading to accidents, thereby hindering the progress of subway projects in China, taking into cognizance the multiple stakeholder’s perspective.

By administering a survey questionnaire to 373 highly involved stakeholders in subway projects spanning Changsha, Beijing and Qingdao, China, our approach incorporated a four-staged composite amalgamation of exploratory factor analysis (EFA), confirmatory factor analysis (CFA), covariance-based structural equation modelling (CB-SEM) and artificial neural network (ANN) to develop an optimized model that determines the causal relationships and interactions among safety hazards in subway construction projects.

The optimized model delineated the influence of individual safety hazards on subway projects. The feasibility and applicability of the model developed was demonstrated on an actual subway project under construction in Changsha city. The outcomes revealed that the progress of subway projects is significantly influenced by risks associated with project management, environmental factors, subterranean conditions and technical hazards. In contrast, risks related to construction and human factors did not exhibit a significant impact on subway construction progress.

While our study provides valuable insights, it is important to acknowledge the limitation of relying on theoretical approaches without empirical validation from experiments or the field. In future research, we plan to address this limitation by assessing the SEM using empirical data. This will involve a comprehensive comparison of outcomes derived from CB-SEM with those obtained through SEM-ANN methods. Such an empirical validation process is crucial for enhancing the overall efficiency and robustness of the proposed methodologies.

The established hybrid model revealed complex non-linear connections among indicators in the intricate project, enabling the recognition of primary hazards and offering direction to improve management of safety in the construction of subways.

This study aims to investigate the relationship between project management competency, job motivation and performance in people engaged in electronic commerce (e-commerce). A questionnaire was developed for e-commerce workers in various professional aspects including business strategy planning, content management and design, sales services, marketing business sales, host settings, analysis and management. A total of 299 valid questionnaires were retrieved. Multiple regression analysis was applied to the testing and analysis on important competences for project management and the factors influencing job performance.

In this study, the related indexes are measured mainly through appropriate questionnaire design and the questionnaires were mainly distributed among employees and managers of the e-commerce enterprises. Tables 5–1 provide the personal profiles of the e-commerce personnel. A total of 350 questionnaires were distributed and 320 questionnaires were returned. After the 320 questionnaires were sorted and categorized, 21 incompletely-filled and invalid questionnaires were excluded, for a total of 299 valid questionnaires that were returned. Based on the quantitative data obtained from the returned valid questionnaires, files were created and statistical analyzes were conducted by the computerized statistical software statistical product and service solutions 21. According to the research question and nature of this study, the present study mainly adopted statistical methods, including descriptive statistical analysis, reliability analysis, Pearson’s correlation analysis and regression analysis.

The results suggested that the project management competency of those engaged in e-commerce had a positive influence on their work performance. The capabilities in the management of integration, scope and procurement were significantly important factors identified in this study. In addition, the internal and external motivations of those engaged in e-commerce had a positive influence on work performance, and thus, facilitated their influence on the project management competency. The results and statistical analysis could be a reference in e-commerce-related business management and serve as the basis for evaluation of the training of project management competencies for those engaged in e-commerce and further improvements of human capitals and corporate competitive advantages.

This study used literature on project management competence and job performance as a foundation; previous studies argue that project management competence has a positive correlation with job performance. Empirical results reveal that among the e-commerce personnel, most dimensions of project management competence are significantly correlated with job performance. This study reveals that stakeholder management competence, the newly introduced 10th dimension of project management competence, is also significantly correlated with job performance. Therefore, study results reveal that project management competence has a significant positive correlation with job performance. In this study, the two constructs of internal motivation and external motivation in job motivation are introduced for use as disturbing factors. Empirical results reveal that internal motivation and external motivation have a significant positive disturbing effect with respect to the influence of cost management competence and human resource management competence on job performance. Hackman and Oldham (1975) contend that the jobs calling for a variety of skills can boost the job motivation of employees. Study results reveal that job motivation is of great importance to the influence of project management competence on job performance and can be used as the basis for improving job performance.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.