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Extant research on workplace ostracism has investigated a victimization perspective to understand ostracism at the cost of examining the perpetrator-centric view of ostracism. This study aims to draw on the self-categorization theory and the social exchange theory to investigate the harmful effects of workplace romance in cultivating workplace ostracism from the perspective of perpetrator to combat concerns for victim blaming. This study further proposes that workplace ostracism triggered by workplace romance provokes interpersonal conflict. Besides, this study investigates the moderating role of prosocial behavior in the underlying linkages.

This study uses a multisource, time-lagged research design to collect data from employees working in the service sector organizations in Pakistan. This study analyzes 367 responses using SmartPLS (v 4.0).

The findings of this study reveal that workplace romance elicits workplace ostracism, which, in turn, fosters interpersonal conflict among coworkers. In addition, this study finds that ingroup prosocial behavior strengthens the associations between workplace romance and workplace ostracism, and workplace romance and interpersonal conflict, mediated by workplace ostracism such that the associations are more potent at higher levels of ingroup prosocial behavior and vice versa.

To the best of the authors’ knowledge, this is the first study that examines workplace romance as the perpetrator-centric antecedent of workplace ostracism, and ingroup prosocial behavior in exaggerating the outgroup ostracism and interpersonal conflict.

This chapter is a review and discussion of the experience of becoming an Electric Vehicle (EV) owner, with a focus on the importance of online EV communities on social media platforms in providing informal support to new owners during the transition into EV ownership and use.

Becoming an EV owner represents a significant disruption to drivers’ very established and comfortable driving practices. Electric cars force their owners to re-think long-habitual aspects of the driving experience, including driving behaviour, refuelling (practicalities and etiquette), route planning, and the extent of the car’s ‘sphere of access’.

Because of this disruption, new EV owners regularly encounter challenges, including charging, range, new technology, route planning, etiquette, and more. People often need support to overcome these challenges, and EV owner groups on social media are an important source of such support; new owners can receive advice on a range of issues. This chapter presents data extracted from EV owner social media group posts, analysing the discussions and advice that EV owners offer one another, and exploring the various forms of important support available to new owners/drivers.

This chapter shows how online EV communities are very actively used by EV owners and are of particular importance for new owners. These communities welcome new owners/drivers, offer support and advice, respond to questions, give recommendations, and encourage socialising and a form of group identity/bonding. With EV ownership rapidly increasing in many countries, online EV communities have a very important role to play in helping facilitate the international transition to electric mobility.

The purpose of this paper is to draw on the social cognitive theory to identify the determinants of online knowledge community user continuance, which reflects a user’s continued use.

Based on the 271 valid responses collected from a survey, structural equation modelling was employed to examine the research model.

The results indicated that the cognitive factors of outcome expectation and the environmental factors of system quality and knowledge quality significantly affect a user’s continuance intention, which, in turn, affects continuance usage.

The results imply that service providers need to enhance community platforms and improve knowledge quality in order to retain users and facilitate their continuance.

Although previous research has examined online knowledge community user behaviour from multiple perspectives such as the social exchange theory and the motivational theory, it has seldom explored the relative effects of personal cognitions and environmental factors on user behaviour. This research fills the gap.

The aim of this study is to investigate how social media users' experience of seeking emergency information affects their engagement intention toward emergency information with a reciprocity framework integrated with information adoption model.

Drawing on reciprocity theory, indebtedness theory, and information adoption model, an integrative research model is developed. This study employs a questionnaire survey to collect data of 325 social media users in China. Structural equation modeling analyses are conducted to test the proposed theoretical model.

Social media users' experience of seeking emergency information has a strong effect on their perceived information usefulness and indebtedness, while perceived information usefulness further influences community norm, indebtedness, and engagement intention. The authors also found that perceived information usefulness mediates the relationships between experience of seeking emergency information and community norm/indebtedness.

This study offers a new perspective to explain social media users' engagement intention in the diffusion of emergency information. This study contributes to the literature by extending the theoretical framework of reciprocity and applying it to the context of emergency information diffusion. The findings of this study could benefit the practitioners who wish to leverage social media tools for emergency response purposes.

The crime of embezzlement and bribery is a wide‐spread crime in the present‐day world. It impairs the property relationship protected by the law and the reputation of state organs and personnel. The party in power and the government in China have always persisted in fighting corruption and building clean and honest government and concentrated on using legal weapons to fight the crime of embezzlement and bribery resolutely. In recent years, China has made tremendous gains in fighting this crime. For 17 years, from 1979 to 1995, the Chinese procuratorial organs investigated and dealt with more than 458,000 cases of embezzlement and bribery. Meanwhile, it should be recognised that the crime is still a serious problem which hinders China's great cause of reform and opening up to the outside world. In particular, during the period of the transition from the old economic structure to the new one, the crime of embezzlement and bribery in this country shows many new characteristics. The major manifestations of the crime are listed below.

This study aims to explore the impact of search breadth and depth on corporate entrepreneurship (CE) through the mediating effect of opportunity discovery under the consideration of the technological environmental dynamism as a moderating factor.

This study adopts a quantitative method, collecting 246 questionnaires from high-tech firms in the national industrial park of the Yangtze River Delta zone in China. The authors examine the hypotheses using multiple hierarchical regressions and conduct Sobel and bootstrapping tests to further assess the mediating and moderated mediating effects of the variables.

The results indicate that both the relationship between search breadth and CE and the relationship between search depth and CE are mediated by opportunity discovery. The authors further show that technological environmental dynamism positively moderates the indirect effect of knowledge search breadth on CE and negatively moderates the indirect effect of knowledge search depth and CE.

This study provides a valuable theoretical framework for entrepreneurship literature by differentiating the effects of search depth and search breadth on the promotion of CE in established firms and pioneers the examination of the mediating role of opportunity discovery and the moderating role of technological environmental dynamism in these links as well.

Crowdsourcing platforms have emerged as an innovative way to generate ideas and solving problems. However, promoting sustained participation among crowdworkers is an ongoing challenge for most crowdsourcing platform providers. Drawing on self-determination theory, this study investigates the impacts of job autonomy on crowdworkers' sustained participation intention.

A survey of 212 crowdworkers from a leading crowdsourcing platform in China was conducted to empirically validate the model.

The empirical results lead to several key findings. First, the taxonomy of job autonomy in crowdsourcing contains three archetypes: work-scheduling autonomy, work-task autonomy, and work-method autonomy. Second, work-scheduling autonomy and work-method autonomy have more significant positive effects on temporal value than work-task autonomy, and this increase in temporal value increases crowdworkers' sustained participation intention. Third, work-task autonomy exerts a stronger influence on hedonic value than work-scheduling autonomy or work-method autonomy, and this increase in hedonic value also increases crowdworkers' sustained participation intention.

This study extends the crowdsourcing literature by examining the formation of crowdworkers' sustained participation and highlighting the role of differential effects of multidimensional job autonomy on crowdworkers' sustained participation. We believe that this study provides actionable insights into measures that promote crowdworkers' sustained participation in the crowdsourcing platform.

In China, corruption mainly refers to crimes of corruption and bribery as stipulated in Articles 382 and 394, embezzlement (Articles 382 and 383), misappropriation of public funds (Article 384), accepting a bribe (Articles 385 and 386), a unit accepting a bribe (Article 387), accepting a bribe in mediation (Article 388), offering a bribe (Articles 389 and 390), offering a bribe to a unit (Article 391), offering a bribe for recommendation (Article 392), a unit offering a bribe (Article 392 and 393), accepting a gift without transferring it to the public (Article 394), possession of unexplained property (Article 395, sub‐paragraph 1), concealing overseas bank deposits (Article 395, sub‐paragraph 1), illegally distributing state‐owned assets (Article 396, sub‐paragraph 1) and illegally distributing confiscated property (Article 396, sub‐paragraph 2) in Chapter VIII on Crimes of Corruption and Bribery in the Chinese criminal law. The essential feature of this category of crimes is that they include the worst cases, endangering economic and political stability, where state functionaries, taking advantage of their position and power, not only illegally transfer ownership of property, but also compromise the reputation of the civil service.

Crowdworkers' sustained participation is critical to the success and sustainability of the online crowdsourcing community. However, this issue has not received adequate attention in the information systems research community. This study seeks to understand the formation of crowdworker sustained participation in the online crowdsourcing community.

The research model was empirically tested using online survey data from 212 crowdworkers in a leading online crowdsourcing community in China.

The empirical results provide several key findings. First, there are two different types of sustained participation: continuous participation intention (CPI) and increased participation intention (IPI). Second, extrinsic motivation and intrinsic motivation positively influence crowdworker CPI and IPI. Third, community commitment negatively moderates the effects of extrinsic motivation on CPI and IPI, while it positively moderates the effects of intrinsic motivation on CPI and IPI.

This study has significant implications for research on online crowdsourcing community and provides practical guidance for formulating persuasive measures to promote crowdworker sustained participation in the community.

In crowdsourcing contests, the capabilities and performance of individual workers (solvers) determine whether seeker firms can obtain satisfactory solutions from the platform. It is noted that solvers may learn such skills in crowdsourcing from doing (experiential learning) or observing (vicarious learning). However, it remains unclear if such learning can be materialized into improved performance considering the unique settings of crowdsourcing contests. The study aims to understand how experiential learning and vicarious learning enhance solver performance and under what conditions.

The model was tested using survey and archival data from 261 solvers on a large contest platform in China.

Results support the premise that experiential learning and vicarious learning separately and jointly enhance solver performance. Moreover, perceived task uncertainty strengthens the effect of vicarious learning but weakens the effect of experiential learning, whereas perceived competition uncertainty weakens the effect of vicarious learning.

The current study enriches the understanding of the impacts of experiential learning and vicarious learning and offers a more nuanced understanding of the conditions under which solvers can reap the performance benefits from learning in crowdsourcing contests. The study also provides practical insights into enhancing solver performance under perceived task uncertainty and perceived competition uncertainty.