Search results

Project-based organizations (PBOs) face challenges to enhance employee work engagement because of dynamic and constant role configuration. Accordingly, this study aims to explore how ethical leadership enhances employee work engagement from a sensemaking perspective.

This study used a questionnaire-based quantitative research design to collect data from 194 full-time employees in PBOs. The data were analyzed via partial least squares-structural equation modeling (PLS-SEM) technique to test hypotheses.

The findings show a positive relationship between ethical leadership and work engagement. Additionally, the relationship between ethical leadership and work engagement is mediated by two sensemaking mechanisms, i.e. goal commitment and prosocial.

This study deepens the understanding of how ethical leadership enhances work engagement in PBOs by providing two sensemaking mechanisms. By exploring the sensemaking process through which ethical leaders help employees construct identity, the findings contribute to the current literature on how ethical leadership enhances work engagement in PBOs.

A novel 3D shape optimization algorithm is presented for electromagnetic devices carrying eddy current. The algorithm integrates the 3D finite element performance analysis and the steepest descent method with design sensitivity and mesh relocation method. For the design sensitivity formula, the adjoint variable vector is defined in complex form based on the 3D finite element method for eddy current problems. A new 3D mesh relocation method is also proposed using the deformation theory of the elastic body under stress to renew the mesh as the shape changes. The design sensitivity for the surface nodal points is also systematically converted into that for the design variables for the parameterized optimization application. The proposed algorithm is applied to the optimum design of the tank shield model of transformer and the effectiveness is proved.

The purpose of this paper is to explore the potential challenges in developing numerical methodologies for inverse problems and optimizations.

Summarizing previous research results mainly contributed by two research groups of Zhejiang University and Hong Kong Polytechnic University.

Computational intelligence plays an essential role in studying inverse problems and optimizations.

An up-to-date review on the current status of numerical methodologies, especially computational intelligences, for inverse problems and optimizations contributed by Chinese researchers.

This research aims to explore the nature of Chinese students' mental health information needs and to identify the online resources they use to meet those needs.

Data was collected from three Chinese research-oriented universities using semi-structured interviews and a survey. Twenty-five university students with varied backgrounds were selected for semi-structured interviews to explore the triggers and nature of their needs. Then, printed and online questionnaires were distributed to undergraduate and postgraduate students and 541 valid responses were processed for descriptive statistical analysis and variance analysis.

The following findings were incurred. First, the triggers of university students' mental health information needs mainly are mental health being in the news, personal interest in gaining mental health knowledge, mental health issues, required formal learning and preparation for mental health counselling. Second, eleven types of information are used, with an emphasis on employment pressure, study stress and self-understanding. Third, mental health information needs differ with mental health status and some social-demographic factors (including gender, urban or rural origin and educational stage). Fourth, information needs can be characterized as dynamic; complex and diverse but concentrated on a few types; ambiguous and hard for participants to define; private; stigmatized; self-dependent and substitutable. Fifth, Internet sources used to meet such needs are mainly search engines, Question and Answer platforms, public social media platforms. Finally, a model of mental health information needs was built based on the above findings to map the whole process from what triggers a need, to the content and characteristics of information need, and online resources used to meet those needs.

The paper provides suggestions for university mental health services in developing more tailored knowledge contents via effective delivery methods to meet diverse needs of student groups.

This research is novel in using empirical data to build a holistic model that captures the context and the nature of mental health information needs of university students.

Time analysis and institution analysis as well as journal analysis allow the study to show literature distribution in this research area. Research hotspots and trending among different times are revealed by network-structural properties and network-temporal property. The study aims to shed light on international cluster research progress on strategic niche management (SNM).

Using searched literature data on SNM from 1991 to 2018 from the database of Web of Science (WOS), the article maps the citation network and completes the citation analysis based on bibliometric citation analysis.

These eight research streams reveal the development of SNM from theoretical description to target-oriented study and finally diversification analysis.

The paper identifies eight continuous research streams in SNM: sustainable transition, dynamical diversity, complexity, social-technical system, social innovation, social-cognitive evolution, emerging market and policy mix.

The purpose of this paper is twofold: first, to explore the negative consequences of ubiquitous connectivity enabled by personal IT ensembles (PITEs) usage; and second, to investigate the gender differences in the adverse effects of ubiquitous connectivity.

This study employs a socio-technical approach to identify the technical and interpersonal dimensions of PITE-enabled ubiquitous connectivity and develops a theoretical model to investigate their stress-inducing effects based on the framework of technostress. Furthermore, the moderating role of gender is examined based on the social role theory. The authors test the model on a sample of 439 Chinese netizens.

Ubiquitous technical and interpersonal connectivity induce four stressors: information overload, communication overload, life invasion and privacy invasion. These stressors further lead to psychological exhaustion and reluctance to try new ITs. The ubiquitous technical connectivity exerts stronger effects on stressors for female users than male users, and interpersonal connectivity exerts a stronger effect for male users than female users.

This study primarily contributes to the small amount of research on PITE-enabled ubiquitous connectivity by considering ubiquitous connectivity from a socio-technical perspective and examining the stress-related effects and outcomes of both technical and interpersonal dimensions of ubiquitous connectivity. This study also provides valuable insights into the gender differences in the stress-inducing effects of the two dimensions of ubiquitous connectivity.

Drawing from the compensation effects in social cognition theory, this study aims to investigate the interactive effects of employees’ warmth and competence and service failure types on customer’s service recovery cooperation intention after a service failure and before service recovery is completed.

This study used a scenario-based experiment with a 2 (high vs low) warmth × 2 (high vs low) competence × 2 (outcome failure vs process failure) service failure between-subjects design. Data were collected using an online panel.

This study finds that employees’ low warmth and high competence in outcome failure situations and high warmth and low competence in process failure situations are most effective at increasing customers’ service recovery cooperation intention. The findings further suggest that customers’ cooperation intention is prone to tradeoffs between customers’ perceptions of employees’ warmth and competence as suggested by compensation effects in social cognition theory, such that the effectiveness of employees’ warmth (competence) is curtailed by employees’ competence (warmth).

The findings of this study provide insights to hospitality managers for effective service recovery management. Hospitality companies can enhance customers’ behavioral intentions by training employees to demonstrate appropriate warmth and competence combination that meet customers’ expectations for a specific failure type.

This study argues that customer’s service recovery cooperation intention depends on the combination of warmth and competence displayed by employees after a service failure. The expected combination of warmth and competence varies depending on the service failure context.

This study tested a holistic model that investigated the interaction effect of negative mentoring experiences and moqi (pronounced “mò-chee”) with a mentor—where moqi refers to a situated state between two parties in which one party understands and cooperates well with the other party without saying a word—on the protégés’ turnover intention, along with the mediating role of protégés’ harmonious work passion.

Data were collected from 281 protégés through a three-wave questionnaire survey with a 1-month lag between waves. We used a hierarchical multiple regression and bootstrapping analysis to test our hypotheses.

Our results support the mediating effect of harmonious work passion on the positive relationship between protégés’ negative mentoring experiences and turnover intention. In addition, our analysis confirmed that moqi with the mentor amplifies both the impact of protégés’ negative mentoring experiences on harmonious work passion and the indirect effect of negative mentoring experiences on protégés’ turnover intention via harmonious work passion.

By demonstrating the interaction effect of protégés’ negative mentoring experiences and moqi with their mentor on turnover intention, as well as the mediating role of harmonious work passion, this study expands our understanding of the mechanism and boundary condition of the effect of negative mentoring experiences and provides inspiration and guidance for mentoring practices.

Based on the C-A-C framework, this article examined users' information avoidance intention in social media platforms.

The authors conducted data analysis using a mixed method of the SEM and fsQCA.

The results indicated that information overload, functional overload and social overload influence fatigue and dissatisfaction, both of which further determine users' information avoidance intention. The results of the fsQCA identified two paths that trigger users' information avoidance intention.

Extant studies have examined the information avoidance in the contexts of healthcare, academics and e-commerce, but have seldom explored the mechanism underlying users' information avoidance in social media. To fill this gap, this article will empirically investigate users' information avoidance in social media platforms based on the C-A-C framework.

The purpose of this paper is to analyze the effect and mechanism of platform incentives on users’ knowledge collaboration performance (KCP) and the configuration leading to high KCP in online knowledge communities (OKCs) in the post-COVID-19 pandemic era from a cross-culture perspective.

A survey method and a standard questionnaire were applied. The data was analyzed using multiple regression and fuzzy set qualitative comparative analysis.

The results indicate that, for both kinds of users, self-enhancement and communication positively affect the KCP. User engagement significantly mediates the relationship between communication and KCP and knowledge absorptive capacity moderates the relationship between user engagement and KCP. In contrast, material incentive positively affects the KCP of Chinese users, while hurting the cross-cultural sample. And the promotion of KCP for cross-cultural samples does not require a higher engagement and knowledge absorptive capacity, while paying more attention to short-term interests, such as communication and self-enhancement.

The study only divides users into Chinese and cross-cultural foreign users, without a distinction between foreign users in different countries. In addition, the research is based on cross-sectional data and failed to try to explore the long-term effects of these incentives from the time dimension.

This study explores the incentive mechanism and configuration of OKC platforms to achieve high KCP for different users from a cross-cultural perspective. It provides new ideas and solutions for precise incentives for users of OKC platforms.