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Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.

Drawing from both the transactional theory of stress and the conservation of resources theory, this paper sets out to investigate the role of demand-specific challenge and hindrance appraisal of emotional demands, as well as time pressure and perceived goal progress within the challenge–hindrance framework.

For this research, 91 employees provided daily diary data for one working week. Focusing on within-persons effects, multilevel moderated mediation models using multilevel path analyses were applied.

Both emotional demands and time pressure exert positive effects on work engagement when people expect resource gain (challenge appraisal), independent of actual resource gain (achievement). Furthermore, results show that goal progress buffers negative effects of perceived blocked resource gain (hindrance appraisal) on both emotional and motivational well-being.

This research proposes an extension and refinement of the challenge–hindrance stressor framework to explain health-impairing and motivational processes of emotional demands and time pressure, combining reasoning from both appraisal and resource theory perspectives. The study identifies demand-specific challenge and hindrance appraisals as mediators linking demands to emotional and motivational well-being, emphasizing the influence of goal progress as a resource on these relations.

This study aims to examine the effect of restaurant employees’ challenge-hindrance appraisals toward smart technology, artificial intelligence, robotics and algorithms (STARA) awareness on individual competitive productivity (ICP) and explore the mediating roles of employees’ work engagement and organizational commitment on the relationship between challenge-hindrance appraisals and ICP.

Data were collected through an online survey. One hundred and ninety employees who worked at full-time and non-management positions in the USA quick-service restaurants participated. Partial least squares structural equation modeling was used for the data analysis.

The study identified that restaurant employees’ challenge appraisals toward STARA awareness positively influenced ICP. This relationship is positively mediated by employees’ work engagement.

This study makes practical contributions to human resource practices in restaurants. Employees’ challenge appraisals toward STARA awareness transmit the job insecurity stressor to a higher level of ICP. Restaurant managers should provide employees with adequate resources and support for non-management employees’ professional competency growth. Quick-service restaurants can enjoy a competitive advantage in the market by enhancing employees’ CP.

This study enriches the literature on the CP model, cognitive appraisal theory and person-environment fit theory. The study investigated employees’ challenge and hindrance appraisals toward emerging STARA awareness and emphasized their distinct characteristics to drive ICP in the quick-service restaurant sector.

This chapter aims to (1) examine the effect of full-time employees’ STARA awareness on innovative work behavioural intentions in US casual dining restaurants; (2) investigate the mediating roles of employees’ challenge–hindrance appraisals of STARA awareness on the relationship between their STARA awareness and innovative work behavioural intentions; (3) compare the group differences between management employees and non-management employees; and (4) provide recommendations for the casual dining restaurants.

This chapter employed an online survey to collect data from 609 full-time employees in US casual dining restaurants, including 306 management employees and 303 non-management employees. Partial least squares–structural equation modelling was applied for data analysis. The results reveal that the high levels of employees’ STARA awareness raise innovative work behavioural intentions through the mediations of challenge appraisal of STARA awareness.

The proposed conceptual framework and empirical findings in this chapter enrich the literature of cognitive appraisal theory, transactional model and stress, two-dimensional stressor framework, and person-environment fit theory. Employees’ challenge appraisal of STARA awareness makes the job insecurity stressor to drive innovative work behavioural intentions. As STARA adoption deepens in casual dining restaurants, managers need to be aware of full-time employees’ stress and psychological responses towards STARA adoption. Restaurants are suggested to provide employees with adequate resources and support to help employees’ professional competency growth. The capable employees will appraise the job insecurity stressor induced by STARA adoption as an opportunity and be motivated to perform innovatively in the workplace. The casual dining restaurants may enjoy a competitive advantage in the market through value-added innovative activities.

Shifting to OLSL classes during the pandemic can bring learners ambivalent experiences: negative, positive or both appraisals toward the technologies. However, few studies have examined how ambivalent experiences can influence students' learning behaviors, specifically cyberslacking and active participation. Using the challenge-hindrance stressor framework, this study investigates the impact of challenge and hindrance appraisals on these learning behaviors.

This study uses a mixed methods approach to answer research questions. An interview was conducted to identify the key components of ambivalent appraisals, and a survey was conducted to empirically examine the impact of challenge and hindrance appraisals on learners' behaviors in online live streaming learning (OLSL) contexts. The data of 675 university students were analyzed using structural equation modeling.

This study found that hindrance appraisal leads to cyberslacking while challenge appraisal leads to active participation, but it can also cause cyberslacking. Social presence has a double-edged effect, acting as both a facilitator and inhibitor, strengthening the effect of hindrance appraisal on cyberslacking and the impact of challenge appraisal on active participation.

Prior studies have primarily focused on the negative side (techno-distress) of technology appraisals. This study simultaneously examines the positive side, techno-eustress, on learners' behaviors in OLSL contexts, and explores the moderating effects of social presence. This study contributes to the technostress and technology adaptation literature by revealing how technology-induced ambivalent appraisals impact behavioral responses. It offers important theoretical and practical implications for education tool designers.

This study aims to explore the associations linking employees’ challenge-hindrance appraisals toward artificial intelligence (AI) to service performance while considering the dual mediating roles of job crafting and job insecurity, as well as the moderating role of AI knowledge.

A survey was administered to a sample of 297 service industry employees. This study examined all the hypotheses with Mplus 8.0.

This study confirms that challenge appraisal toward AI has an indirect positive influence on service performance via job crafting (motivation process), whereas hindrance appraisal toward AI has an indirect negative influence on service performance via job insecurity (strain process). Meanwhile, AI knowledge, serving as a key personal resource, could strengthen the positive impacts of challenge appraisal toward AI on job crafting and of hindrance appraisal toward AI on job insecurity.

Organizational decision-makers should first survey employees’ appraisals toward AI and then adopt targeted managerial strategies. From the perspective of service industry employees, employees should adopt proactive coping strategies and enrich their knowledge of AI to meet the challenges brought by this technology.

The primary contribution of this study is that we enrich the literature on AI by exploring the dual mediators (i.e. job crafting and job insecurity) through which AI awareness affects service performance. Moreover, this study advances our understanding of when appraisals toward AI influence job outcomes by identifying the moderating role of AI knowledge.

The purpose of this study was to examine the mediating role of appraisals in three stressor–well-being relationships: (1) the mediating role of challenge appraisals in the relationship between daily skill demands and daily work engagement, (2) the mediating role of hindrance appraisals in the relationship between daily interruptions and daily depletion and (3) the mediating role of threat appraisals in the relationship between daily emotional demands and daily anxiety. We also examined the moderating influence of conscientiousness on the daily skill demands–challenge appraisal relationship, the moderating role of extraversion on the daily interruptions–hindrance appraisal relationship and the moderating influence of neuroticism on the daily emotional demands–threat appraisal relationship. Supplemental analyses also examined the moderating influence of the aforementioned personality traits on the respective direct effects of stressors on well-being outcomes.

We tested our hypotheses using a 5-days experience sampling design in a sample of 114 working adults and employed multilevel modeling.

All hypothesized mediating mechanisms were supported, however, the majority of moderation hypotheses were not supported.

We sought to extend the relatively recent advancement in the challenge–hindrance framework to provide additional evidence of the utility of distinguishing between challenge, hindrance and threat stressors. Although not supported, this is the one of the first papers to test the moderating influence of personality traits on the stressor–appraisal relationship.

The purpose of this paper is to examine how family support affects challenge and hindrance appraisals, which in turn, influence entrepreneurs’ venture exit intention drawing on the challenge-hindrance job stressor model, family support, and the venture exit literature.

An experimental study (Study 1) was conducted to establish the relationships among family support, challenge and hindrance appraisals, and entrepreneurs’ venture exit intention. Two survey studies (Study 2 and Study 3) were conducted to extend the external validity of findings in Study 1 and to examine whether the theoretical framework holds in both the US and Chinese contexts.

All three studies demonstrate that family support decreases entrepreneurs’ venture exit intention by reducing hindrance appraisal. Study 3 also shows the mediating role of challenge appraisal in the family support – venture exit intention relationship.

This research contributes to the family embeddedness perspective not only by showing its relevance to the venture exit context but also by validating the relationship of family support with cognitive appraisals and venture exit intention in two cultural contexts. It also contributes to venture exit research by highlighting the unique role of cognitive appraisals in the formation of entrepreneurs’ venture exit intention.

The aim is to expand the challenge-hindrance framework and develop a coherent theoretical framework that explains individual differences in the way small business owners appraise their job demands. Literature has shown that dealing effectively with job demands leads to competitive advantage and depends on individual appraisals.

For this qualitative study, 20 in-depth interviews were analyzed using a partially grounded theory approach.

Open and axial coding revealed a broader range of demands than have hitherto been studied, related to actions rather than job characteristics. Selective coding confirmed expectations based on the Conservation of Resources Theory that appraisals of demands differ between business owners and change over time depending on role identities, and material, social, personal and energy resource levels, via the valence (identities) and degree of anticipated outcomes. Business owners appraised certain demands as challenging when they were co-occurring with other demands usually categorized as challenges, whereas these same demands were appraised as hindering when co-occurring with demands usually categorized as hindrances.

The results imply that appraisals can be influenced by societal context, life events, processes of formal and informal learning, personal growth and aging. These topics would be interesting avenues for future research.

The results of this study challenge our understanding of job demands in general and current categorizations of job demands as challenges versus hindrances in specific, by providing an in-depth, contextualized and dynamic view of the appraisal of demands related to owning and running a business.