7 research outputs found

    Effects of Social Media Usage on Job Crafting for Female Employees during the COVID-19 Pandemic: Evidence from China

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    During the COVID-19 pandemic, the use of social media platforms for working online has become a global phenomenon. For female employees, social media usage has made it easier to balance work and family, but the pressures have also multiplied. Especially in China, the COVID-19 prevention policies led to dramatic changes in working patterns, which significantly affected the emotions, cognitions, and behaviors of female employees. Based on the job demands resource theory, this study explores the double-edged effect of social media usage on job crafting for female employees. Survey data were collected from 563 female employees in Chinese enterprises. Hierarchical regression analysis and the bootstrap method by SPSS and AMOS software were used to test the hypotheses. The results show that work-related social media usage has a negative effect on job crafting, while social-related social media usage has a positive effect. Moreover, job autonomy and workplace friendship mediate the relationship between them. This study extends the research on the double-edge effect of female employees’ social media usage and enriches the antecedents and influencing mechanisms of job crafting. It also provides theoretical and practical guidance for managers on how to promote the sustainability of human capital during the COVID-19 pandemic

    Effects of Social Media Usage on Job Crafting for Female Employees during the COVID-19 Pandemic: Evidence from China

    No full text
    During the COVID-19 pandemic, the use of social media platforms for working online has become a global phenomenon. For female employees, social media usage has made it easier to balance work and family, but the pressures have also multiplied. Especially in China, the COVID-19 prevention policies led to dramatic changes in working patterns, which significantly affected the emotions, cognitions, and behaviors of female employees. Based on the job demands resource theory, this study explores the double-edged effect of social media usage on job crafting for female employees. Survey data were collected from 563 female employees in Chinese enterprises. Hierarchical regression analysis and the bootstrap method by SPSS and AMOS software were used to test the hypotheses. The results show that work-related social media usage has a negative effect on job crafting, while social-related social media usage has a positive effect. Moreover, job autonomy and workplace friendship mediate the relationship between them. This study extends the research on the double-edge effect of female employees’ social media usage and enriches the antecedents and influencing mechanisms of job crafting. It also provides theoretical and practical guidance for managers on how to promote the sustainability of human capital during the COVID-19 pandemic

    The quality of crowdsourcing virtual community and users’ voice behavior: An analysis of stimulus-organism-response framework among Chinese users

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    The quality of a crowdsourcing virtual community is an essential factor that stimulates users' perceptions of belonging and attachment to the community, thereby influencing their behavior. As a prerequisite for the development of “creative crowdsourcing,” it is particularly important to study how users' voice behavior can be promoted in virtual communities. Drawing on the Stimulus-Organism-Response (SOR) framework and the Social Identification Theory, this study developed a conceptual model that investigates the impact of crowdsourcing virtual communities in system, information, interaction, and service quality on users' voice behavior. Furthermore, we introduce community identification and self-disclosure to further analyze the influencing mechanism between these two variables. Data were collected through 672 survey questionnaires from participants in well-known crowdsourcing virtual communities such as Xiaohongshu, Bilibili, Haier Hope, Test Baidu, and Test China. Using hierarchical regression and bootstrap analysis, we found a positive correlation between the quality of the crowdsourcing virtual community and users’ voice behavior, with community identification acting as a mediator. Furthermore, self-disclosure showed a significant moderating effect on the relationship between community identification and voice behavior. These findings significantly contribute to the theoretical landscape by advancing the SOR framework within a virtual community. This not only deepens the understanding of the quality of the crowdsourcing virtual community, but also provides theoretical and practical implications for managers and users on how to promote voice behavior

    Team Leader’s Conflict Management Style and Team Innovation Performance in Remote R&D Teams—With Team Climate Perspective

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    Remote work has become a new way of working due to the influence of the COVID-19 pandemic, which inevitably aggravates team conflicts caused by cognitive differences given the lack of face-to-face communication. With a team climate perspective, this paper investigates the impact of the team leader’s conflict management style on team innovation performance in remote R&D teams in China based on social cognition theory and two-dimension theory. A theoretical model is constructed which describes the mediating effect of team psychological safety and the moderating impact of team trust. Paired data from 118 remote R&D teams in China including 118 leaders and 446 members were collected. The results show that team leader’s cooperative conflict management style is conducive to enhancing team psychological safety and further effectively improves team innovation performance. Therefore, team psychological safety has a mediating effect between team leader’s cooperative conflict management style and team innovation performance. In addition, team trust has a negative moderating effect between team leader’s cooperative conflict management style and team psychological safety. Besides, this study obtains some valuable culture-related insights and provides more views for conflict management research in the cross-cultural context since the samples in this study are from China, a society with high collectivism, which is different from the western cultural context from which many conflict management theories develop

    The Impact of Mentoring Relationships on Innovation Performance of Post-90s Employees: A Dual-Path Model of Cognition and Affect

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    (1) Background: In recent years, post-90s employees have emerged as the driving force behind enterprise innovation, presenting unique challenges for innovation management. Their distinct characteristics and attitudes towards work require a thoughtful and adaptable approach from businesses to harness their potential effectively; (2) Methods: through empirical analysis of 518 valid samples in the Chinese context, with SPSS 26.0 and PROCESS V4.1 being used for the analysis, and to test the moderated mediation model; (3) Results: a. Mentoring relationships positively predict innovation performance; b. This relationship is mediated by role stress (cognition) and job vigor (affect); c. Innovative self-efficacy negatively moderates the impact of role stress on innovation performance and positively moderates the impact of job vigor on innovation performance; d. Moreover, innovative self-efficacy significantly moderates the mediating effect of role stress and job vigor, and the moderated mediating model is established; (4) Conclusions: Our findings reveal the “black box” of mentoring relationships in the process of influencing the innovation performance of post-90s employees, an area that has received limited research attention. This study further reveals the boundary effect of innovative self-efficacy

    A study on predicting crisis information dissemination in epidemic-level public health events

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    Crisis information dissemination plays a key role in the development of emergency responses to epidemic-level public health events. Therefore, clarifying the causes of crisis information dissemination and making accurate predictions to effectively control such situations have attracted extensive attention. Based on media richness theory and persuasion theory, this study constructs an index system of crisis information dissemination impact factors from two aspects: the crisis information publisher and the published crisis information content. A multi-layer perceptron is used to analyze the weight of the index system, and the prediction is transformed into a pattern classification problem to test crisis information dissemination. In this study, COVID-19 is considered a representative event. An experiment is conducted to predict the crisis information dissemination of COVID-19 in two megacities. Data related to COVID-19 from these two megacities are acquired from the well-known Chinese social media platform Weibo. The experimental results show that not only the identity but also the social influence of the information publisher has a significant impact on crisis information dissemination in epidemic-level public health events. Furthermore, the proposed model achieves more than 95% test accuracy, precision rate, recall value and f1-score in the prediction task. The study provides decision-making support for government departments and a guide for correctly disseminating crisis information and public opinion during future epidemic-level public health events
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