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The purpose of this study is to explore the impact of online reviews on answer adoption in virtual Q&A communities, with an eye toward extending knowledge exchange and community management.

Online reviews contain rich cognitive and emotional information about community members regarding the provided answers. As feedback information on answers, it is crucial to explore how online reviews affect answer adoption. Based on signaling theory, a research model reflecting the influence of online reviews on answer adoption is established and empirically examined by using secondary data with 69,597 Q&A data and user data collected from Zhihu. Meanwhile, the moderating effects of the informational and emotional consistency of reviews and answers are examined.

The negative binomial regression results show that both answer-related signals (informational support and emotional support) and answerers-related signals (answerers’ reputations and expertise) positively impact answer adoption. The informational consistency of reviews and answers negatively moderates the relationships among information support, emotional support and answer adoption but positively moderates the effect of answerers’ expertise on answer adoption. Furthermore, the emotional consistency of reviews and answers positively moderates the effect of information support and answerers’ reputations on answer adoption.

Although previous studies have investigated the impacts of answer content, answer source credibility and personal characteristics of knowledge seekers on answer adoption in virtual Q&A communities, few have examined the impact of online reviews on answer adoption. This study explores the impacts of informational and emotional feedback in online reviews on answer adoption from a signaling theory perspective. The results not only provide unique ideas for community managers to optimize community design and operation but also inspire community users to provide or utilize knowledge, thereby reducing knowledge search costs and improving knowledge exchange efficiency.

Drawing from a resource-based perspective in the work–family interface literature, the current study examines how emotional exhaustion, as a resource depletion mechanism, mediates the relationship between family–work conflict and job satisfaction. The authors also considered the content and nature of coworker support to investigate whether there were differential moderating effects of the two distinct types of coworker support: emotional and instrumental support.

The authors surveyed 321 kindergarten employees across multiple sites located in South Korea. Using this sample, the authors performed random coefficient modeling to test the proposed research model.

The results showed a significant negative indirect relationship between family–work conflict and job satisfaction through emotional exhaustion. Furthermore, the findings suggested differential effects of the two coworker support types, such that the positive relationship between family–work conflict and emotional exhaustion was stronger when coworker emotional support was low than when it was high; the positive relationship was stronger when coworker instrumental support was high than when it was low. Moderated mediation analyses revealed that the two types of coworker support moderated the indirect relationship.

These results highlight the mixed blessing of distinct types of coworker support for researchers and practitioners. A lack of emotional support and greater instrumental support from coworkers each, respectively, exacerbate the negative impact of family–work conflict on employees' well-being and, subsequently, job satisfaction.

Recent research acknowledges entrepreneurial passion’s outcomes, but far less is known about how entrepreneurial passion comes about. In this study, the authors are interested in the emergence of entrepreneurial passion, and how competences and social network are associated with entrepreneurial passion. The paper aims to discuss these issues.

The authors investigate whether entrepreneurial passion emerges out of socialisation, entrepreneurial experience or various combinations thereof. The authors tested the hypotheses on a data set of entrepreneurs who started their businesses with government financial support (n=1150).

The findings show that within a social environment, perceived emotional support is positively associated with entrepreneurial passion. Moreover, entrepreneurs’ task-related competence moderates this relationship positively. By investigating the emergence of entrepreneurial passion, the authors contribute to prior passion literature, which has mainly focused on its consequences.

The findings demonstrate both how entrepreneurial passion is associated with and how perceived emotional support can stem from unexpected sources, such as from a government-based start-up grant. For entrepreneurs, an increased awareness of passion’s emergence could better encourage them in their entrepreneurial endeavours. To people who are engaged in promoting entrepreneurship, our findings emphasise the symbolic and emotional aspects of instruments intended to support entrepreneurship.

The purpose of this paper is to examine the role of sales manager support in promoting the subjective well‐being of salespeople as well as the function of the sales manager in cultivating positive, motivating and productive environments.

An exploratory assessment of the relationship between sales manager support and emotional health in salespeople was conducted by interviewing sales professionals from diverse industries. The insight offered from these individuals, in conjunction with prior literature, provided the basis for the development of a conceptual model that elucidates the impact of sales manager support on the emotional well‐being of salespeople and subsequently salesperson effectiveness. The model was tested using 154 salespeople. Structural equation modeling was used to analyze the data.

Results indicate that sales manager support is negatively related to emotional exhaustion and rumination, but positively associated with fostering positive working environments and future expectations. Salesperson motivation is positively related to positive working environments and customer‐oriented selling and negatively related to emotional exhaustion.

The study is cross‐sectional in nature and no causal relationships could be established. Future studies might include field experiments that assess the effect of sales manager support on salesperson's well‐being and behavior.

The study demonstrates the important role sales managers have in promoting the subjective well‐being of salespeople.

This research addresses how sales manager coaching specifically impacts elements of a salesperson's emotional health.

This study investigates the determinants of effective human and artificial intelligence (AI) relationship-building strategies for brands. It explores the antecedents and consequences of consumers' interactant satisfaction with communication and identifies ways to enhance consumer purchase intention via AI chatbot promotion.

Microsoft Xiaoice served as the focal AI chatbot, and 331 valid samples were obtained. A two-stage structural equation modeling-artificial neural network approach was adopted to verify the proposed theoretical model.

Regarding the IQ (intelligence quotient) and EQ (emotional quotient) of AI chatbots, the multi-dimensional social support model helps explain consumers' interactant satisfaction with communication, which facilitates affective attachment and purchase intention. The results also show that chatbots should emphasize emotional and esteem social support more than informational support.

Brands should focus more on AI chatbots' emotional and empathetic responses than functional aspects when designing dialogue content for human–AI interactions. Well-designed AI chatbots can help marketers develop effective brand promotion strategies.

This research enriches the human–AI interaction literature by adopting a multi-dimensional social support theoretical lens that can enhance the interactant satisfaction with communication, affective attachment and purchase intention of AI chatbot users.

This research examines effects on emotional burnout among “maternity support workers” (MSWs) that support women in labor (labor and delivery (L&D) nurses and doulas). The emotional intensity of maternity support work is likely to contribute to emotional distress, compassion fatigue, and burnout.

This study uses data from the Maternity Support Survey (MSS) to analyze emotional burnout among 807 L&D nurses and 1,226 doulas in the United States and Canada. Multivariate OLS regression models examine the effects of work–family conflict, overwork, emotional intelligence, witnessing unethical mistreatment of women in labor, and practice characteristics on emotional burnout among these MSWs. We measure emotional burnout using the Professional Quality of Life (PROQOL) Emotional Burnout subscale.

Work–family conflict, feelings of overwork, witnessing a higher frequency of unethical mistreatment, and working in a hospital with a larger percentage of cesarean deliveries are associated with higher levels of burnout among MSWs. Higher emotional intelligence is associated with lower levels of burnout, and the availability of hospital wellness programs is associated with less burnout among L&D nurses.

While the MSS obtained a large number of responses, its recruitment methods produced a nonrandom sample and made it impossible to calculate a response rate. As a result, responses may not be generalizable to all L&D nurses and doulas in the United States and Canada.

This research reveals that MSWs attitudes about medical procedures such as cesarean sections and induction are tied to their experiences of emotional burnout. It also demonstrates a link between witnessing mistreatment of laboring women and burnout, so that traumatic incidents have negative emotional consequences for MSWs. The findings have implications for secondary trauma and compassion fatigue, and for the quality of maternity care.

The aim is to test the influence of leader-member exchange relational separation (LMXRS) on individual creativity by building up a cross-level moderated mediation model. Besides exploring the mediating role of emotional support in linking LMXRS with individual creativity, this study also examines the moderating role of group-level team-leader exchange (TMX) in affecting the mediation.

Longitudinal data for 321 employees on 68 groups in over ten enterprises from China was employed to examine this model.

Results showed that LMXRS affected individual creativity negatively. Further, LMXRS had an indirect effect on individual creativity via emotional support. Finally, moderated path analysis revealed TMX median attenuated LMXRS direct influence on emotional support and indirect effect on individual creativity.

The empirical research investigates the mediating influence of emotional support on the association between LMXRS and individual creativity. The multilevel moderated mediation model also expands the current findings by examining that group-level TMX quality can moderate the indirect influence of LMXRS on individual creativity through emotional support.

The purpose of this paper is to explore individual and contextual predictors of emotional support potential in training.

Relative weight analysis was used to assess the importance of individual (trainee regulatory focus) and contextual (trainer competence) predictors of emotional support potential in training.

Individual differences in self‐regulation including promotion and prevention focus explained emotional support potential to a greater extent than did trainer competence.

For future research, further testing the current propositions can emphasize broader contextual predictors (e.g. support from trainees' social context).

A number of studies have indicated that social aspects of training are important; however, no one has yet examined predictors of emotional support. Consequently, understanding an individual's regulatory focus and personality can be an important way to improve emotional support potential.

This is the first study to examine predictors of emotional support potential in a training context and links trainee regulatory focus to this outcome.

The purpose of this paper is to preliminary explain the possibly complicated moderating effects of job resources. The paper specifies the missing link between job demand and burnout by focusing on the coping strategy argument.

The paper preliminary supports the mediated moderation model of the missing link by a large sample cross‐sectional survey.

The two coping strategies as mediators for the relationship between emotional demands and exhaustion are supported. Strong supports for the moderation effect of emotional intelligence on the relationship between emotional demands and the two coping strategies are found. Some support for the moderation of supervisor support on the relationship between deep acting and exhaustion are found.

The paper contributes to the job demands‐control‐support and job demands‐resources models, as the proposed model helps to explain the inconsistent results for the buffering effect of job resources found in the literature. It also contributes to the literature of emotional intelligence, as it provides clear evidence of its importance in handling emotional demands.

Deep acting is important. An organization may take more efforts in training employees to equip them with it. Emotional intelligence is also a vital resource and so organizations may benefit if they engage in relevant selection and training practices.

Emotional intelligence, an individual ability, is empirically demonstrated to be an important type of job resources that can buffer the negative effect of job demands on employee well‐being.

Education depends on high-quality teachers who are committed to professional development and do not get burned out. The purpose of this paper was to investigate how job demands and resources can affect the health and cognitive development of teachers using the Demand-Induced Strain Compensation model.

A cross-sectional sample of 120 teachers in vocational education was used to investigate the proposed relationships and hypotheses with Ordinary Least Squares (OLS) regression method.

In terms of teacher health and development, significant main effects were found for several predictors. Autonomy was significantly and negatively related to emotional exhaustion. Autonomy, emotional supervisor and colleague support were significantly and positively related to teachers’ development. However, little support was found for matching hypotheses, suggesting that matching demands and resources do not offer more explanatory power for occupation outcomes than other types of interaction effects.

More powerful analyses techniques like structural equation modeling could be used in future research with a larger sample size. A second limitation is common method variance.

Schools in vocational education should provide sufficient job resources, such as autonomy and emotional support, but possibly also put a limit on teacher task variety.

Job demands and resources have until now mainly been related to negative outcomes such as poor health and ill-being, while the relationship with learning has also been hypothesized and is therefore meaningful to examine. In addition, it was investigated whether interaction effects of matching demands and resources, better explain these outcomes.