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This study aims to explore the role of frontline service employees’ (FSEs) awareness that their job can be substituted by smart technology, artificial intelligence, robotics and algorithms (STARA) in their job autonomy and proactive service performance and when these relationships can be buffered. Drawing on the cognitive appraisal theory of stress, the study examined the mediating relationship between FSEs’ STARA awareness, job autonomy and proactive service performance and the moderating effects of self-efficacy and resilience on this relationship.

The authors administered two-wave online surveys to 301 South Korean FSEs working in various service sectors (e.g. retailing, food/beverage, hospitality/tourism and banking). The Time 1 survey measured respondents’ STARA awareness, self-efficacy, resilience and job autonomy, and the Time 2 survey assessed their proactive service performance.

FSEs’ STARA awareness negatively affected their subsequent proactive service performance through decreased job autonomy. The negative association between STARA awareness and job autonomy was weaker when FSEs’ self-efficacy was high than when it was low. While the authors observed no significant moderation of resilience, the author found a marginally significant three-way interaction between STARA awareness, self-efficacy and resilience. Specifically, STARA awareness was negatively related to job autonomy only when both self-efficacy and resilience were low. When either self-efficacy or resilience was high, the association between STARA awareness and job autonomy became nonsignificant, suggesting the buffering roles of the two personal resources.

Given that the measurement of variables relied on self-reported data, rater biases might have affected the findings of the study. Moreover, the simultaneous measurement of STARA awareness, self-efficacy, resilience and job autonomy could preclude causal inferences between these variables. The authors encourage future studies to use a more rigorous methodology to reduce rater biases and establish stronger causality between the variables.

Service firms can decrease FSEs’ STARA awareness through training in the knowledge and skills necessary to work with these technologies. To promote FSEs’ proactive service performance in this context, service firms need to involve them in decisions related to STARA adoption and allow them to craft their jobs. Service managers should provide FSEs with social support and exercise empowering and supportive leadership to help them view STARA as a challenge rather than a threat.

Distinct from prior research on STARA awareness and employee outcomes, the study identified proactive service performance as a key outcome in the STARA context. By presenting self-efficacy and resilience as crucial personal resources that buffer FSEs from the deleterious impact of STARA awareness, the study provides practitioners with insights that can help FSEs maintain their job autonomy and proactive service performance in times of digitalization and automation.

As knowledge management increasingly becomes critical for the success of professional service firms, this paper uses social exchange theory to investigate the interactive impact of transformational leadership and organizational innovation on online knowledge sharing by employees in professional service firms. This study aims to investigate the mediating roles of job autonomy and job engagement in this process.

Data were collected from a survey of 350 frontline employees in professional service providers, including banking, telecommunication and insurance. Structural equation modeling was used for data analysis.

The results show that transformational leadership positively affects job autonomy, which in turn has a positive impact on online knowledge sharing through job engagement. Thus, job autonomy and job engagement mediate the relationship between transformational leadership and online knowledge sharing. Finally, organizational innovation moderates the relationship between transformational leadership and job autonomy.

This paper extends the knowledge management literature by studying the impact of transformational leadership on the online knowledge-sharing behavior and exploring the focal roles of job autonomy and job engagement in online-sharing behavior in professional service firms. The findings also provide useful implications for practitioners to help them engage employees in the adoption of digital technologies to optimize outcomes.

Empowerment is recognised as being a key to achieving organisational agility. Typically associated with a particular leadership style, implications of empowerment for management have remained vague in the literature. Thus, this study aims at unpacking the facets and mechanisms of empowerment in the context of organisational units (OUs).

First, the authors review the extant literature and discuss the crucial concepts in the context empowerment. Then, the authors analyse qualitative data from interviews conducted in four research and development (R&D) departments in the industrial manufacturing industry.

This study finds that the empowerment of business entities is crucial when operating in turbulent conditions. However, empowerment must be accompanied by a clear focus when aiming at higher agile performance. Moreover, different autonomy types and their interplay with critical factors of middle management empowerment could be identified. The research results also reveal important details about the effects of autonomy on motivation and performance and the role of OUs' dependencies.

The model proposed in this paper can help senior and middle managers better manage the empowerment of OUs required to enhance middle management agility and, in turn, increase overall organisational adaptability.

Beyond regarding empowerment as a leadership style, this paper takes a middle management perspective and unfolds the facets of empowerment in the context of OUs. Adding to the theory of self-organisation, a model is proposed to capture the key factors to determine and manage the autonomy of OUs. These insights are essential to managing autonomy successfully at the middle management level.

Companies utilize increasingly capable Artificial Intelligence (AI) technologies to deliver modern services across a range of consumer service industries. AI autonomy, however, sparks skepticism among consumers leading to a decrease in their willingness to adopt AI services. This raises the question as to whether consumer trust in companies can overcome consumer reluctance in their decisions to adopt high (vs low) autonomy AI services.

Using a representative survey (N = 503 consumers corresponding to N = 3,690 observations), this article investigated the link between consumer trust in a company and consumers' intentions to adopt high (vs low) autonomy AI services from the company across 23 consumer service companies accounting for six distinct service industries.

The results confirm a significant and positive relationship between consumer trust in a company and consumers' intentions to adopt AI services from the same company. AI autonomy, however, moderates this relationship, such that high (vs low) AI autonomy weakens the positive link between trust in a company and AI service adoption. This finding replicates across all 23 companies and the associated six industries and is robust to the inclusion of several theoretically important control variables.

The current research contributes to the recent stream of AI research by drawing attention to the interplay between trust in companies and adoption of high autonomy AI services, with implications for the successful deployment and marketing of AI services.

This study aims to explore the double-edged sword effect of work connectivity behavior after-hours (WCBA) on employees’ occupational mental health. Drawing on job demand-resource theory, the authors examined the double mediating mechanism of work autonomy and work-family conflict on the relationship of WCBA, work engagement and work burnout. At the same time, the authors examined the moderating role of responsiveness from superiors, hoping to clarify how WCBA brings employees positive experiences (engagement) or negative experiences (burnout).

Under the mediating mechanism of work autonomy and work-family conflict, the authors built a dual-path model and moderated mediation model to examine the effect of WCBA on work engagement and burnout. Two-stage paired data were collected from various industries in China by distributing questionnaires to employees. The hypotheses were tested using the structural equation model and the bootstrap test method.

The results showed that WCBA positively affects work engagement and burnout. Work autonomy plays a mediating role both in the relationship between WCBA and work engagement and in the relationship between WCBA and work burnout. In addition, work-family conflict plays a mediating role both in the relationship between WCBA and work burnout and in the relationship between WCBA and work engagement. Responsiveness from superiors not only moderated the relationship between WCBA and work autonomy and between WCBA and work-family conflict but also moderated the mediating effects of work autonomy and work-family conflict.

This study examined the double-edged sword effect of WCBA on employees’ occupational mental health, the dual mediation of work autonomy and work-family conflict and the moderating effect of responsiveness from superiors. This study can enrich the understanding of the effects of WCBA as well as the influential factors and boundary conditions related to employees’ occupational mental health. Organizations (represented by superiors) and individuals were integrated into one model, providing a new perspective for studying WCBA. The research will help managers and individuals gain a comprehensive understanding of WCBA, and how to enhance its positive effects and circumvent its negative effects.

The authors examine the interactive effects of work engagement and work autonomy in enhancing job crafting behaviour and performance.

Dyadic data from a sample of 320 white-collar employees in an Indian manufacturer are analysed through structural equation modelling.

The level of job crafting is highest when both work engagement and work autonomy are high. Job crafting fully mediates the interactive effect of work engagement and autonomy on task performance and partially on contextual performance.

There is value in reviewing organisational constraints on employee autonomy to foster the ways in which highly motivated workers can craft their jobs and, thus, maximise their performance.

This study demonstrates the interactive effects of work engagement and autonomy in enhancing job crafting and, through this mechanism, employee performance.

This paper aims to clarify the relationship between digitalization and the employees’ autonomy. It proposes a positive relationship between digitalization and employees. It explains why strategic human resource management (HRM) is essential in this relationship. The study aims to solve the control autonomy paradox related to the use of technology in organizations.

The paper opted for the explanatory study using a cross-sectional design. Responses were received from the alumni of a French business school using the survey strategy. Structural equation modelling has been used to validate the measure and to test the hypotheses.

The paper provides empirical evidence for the positive relationship between digitalization and employees’ autonomy. It suggests that an enabling control-based HRM system mediates the positive relationship between digitalization and autonomy.

The study enriches the literature in information technology by solving the control autonomy paradox associated with information technology. Moreover, the study also highlights the importance of an enabling control-based HRM system by underlining its role in developing the empowering organizational context.

Existing literature on algorithmic management practices – defined as autonomous data-driven decision making in people's management by adoption of self-learning algorithms and artificial intelligence – suggests complex relationships with employees' well-being in the workplace. While the use of algorithms can have positive impacts on people-related decisions, they may also adversely influence job autonomy, perceived justice and – as a result – workplace well-being. Literature review revealed a significant gap in empirical research on the nature and direction of these relationships. Therefore the purpose of this paper is to analyse how algorithmic management practices directly influence workplace well-being, as well as investigating its relationships with job autonomy and total rewards practices.

Conceptual model of relationships between algorithmic management practices, job autonomy, total rewards and workplace well-being has been formulated on the basis of literature review. Proposed model has been empirically verified through confirmatory analysis by means of structural equation modelling (SEM CFA) on a sample of 21,869 European organisations, using data collected by Eurofound and Cedefop in 2019, with the focus of investigating the direct and indirect influence of algorithmic management practices on workplace well-being.

This research confirmed a moderate, direct impact of application of algorithmic management practices on workplace well-being. More importantly the authors found out that this approach has an indirect influence, through negative impact on job autonomy and total rewards practices. The authors observed significant variation in the level of influence depending on the size of the organisation, with the decreasing impacts of algorithmic management on well-being and job autonomy for larger entities.

While the influence of algorithmic management on various workplace practices and effects is now widely discussed, the empirical evidence – especially for traditional work contexts, not only gig economy – is highly limited. The study fills this gap and suggests that algorithmic management – understood as an automated decision-making vehicle – might not always lead to better, well-being focused, people management in organisations. Academic studies and practical applications need to account for possible negative consequences of algorithmic management for the workplace well-being, by better reflecting complex nature of relationships between these variables.

This study addressed a relatively understudied process of school leadership: the principal-teacher conversation about instructional change. Two distinct conversation structures were examined: controlling conversation and transformative leadership conversation (TLC). Self-determination theory (SDT) was used to make the case that TLC is a better fit for instructional change than controlling conversation. Hypotheses were developed on the relationship between principal-teacher conversation and teacher trust in the principal, teacher autonomy and teacher vitality. These mental states were identified for empirical testing because of their influence on change processes.

The empirical study used a correlational research design with survey data. The data came from a random sample of 2,500 teachers from the population of certified teachers in a southwestern state in the USA. Useable survey responses were obtained from 1,615 teachers, for a response rate of 65 percent. Teachers in the sample averaged 15 years of teaching experience, with 7 years in their current school. Around 81% of teachers identified as female and 18 percent as male and 79% of teachers listed a racial identification as white. Hypotheses were tested in a path model using AMOS 28.0 with robust maximum likelihood (MLR).

As hypothesized, TLC had moderate to strong positive relationships with teacher trust in the principal, teacher autonomy and teacher vitality. Controlling conversation had small, negative relationships with teacher trust in the principal and teacher autonomy. Controlling conversation was not related to teacher vitality in the path analysis. Compared with controlling conversation, TLC had stronger relationships with teacher mental states.

The results of this study begin to reveal useful evidence on the inherent social-psychological mechanisms active in principal-teacher conversations. With results indicating that conversation structure has consequences for positive teacher mental states, the study directs attention to a ubiquitous yet understudied leadership process.

Imprisonment is associated with far-reaching restrictions of personal autonomy, which critically depends on the sense of agency (SoA), i.e. the experience of control over one’s own actions and the consequences of these actions. Lack of personal choice and coercion to engage in specific actions disrupt the neurocognitive basis of SoA, which can have a profound impact on social behaviour, self-reliance and well-being. The purpose of this conceptual paper is to address the relationship between autonomy, choice restrictions and SoA in prisoners and the ability to reenter society after release.

This conceptual paper integrates existing empirical evidence from research on the role of personal autonomy and lack of freedom in prison and recent research using neurocognitive methods to study the processes underlying the effects of choice restrictions and coercion on SoA.

Building on prior empirical observations, the authors suggest that investigating how and when imprisonment undermines SoA through the restriction of personal choice can provide valuable insights into prisoners’ challenges in regulating and organizing their behavior and to accommodate the rules of society.

This conceptual paper offers directions for future research to further our understanding of autonomy restrictions on SoA in prison and its downstream consequences for societal reintegration.