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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.

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.

This study aims to analyze aspects of decision-making in recruitment. Using a choice-based conjoint (CBC) experiment with typified screening scenarios, it was analyzed what aspects will be more important for recruiters: the recommendation provided by a hiring algorithm or the recommendation of a human co-worker; gender of the candidate and of the recruiter was taken into account.

A total of 135 recruitment professionals (67 female) completed a measure of sex roles and a set of 20 CBC trials on the hiring of a pharmacologist.

Participants were willing to accept a lower algorithm score if the level of the human recommendation was maximum, indicating a preference for the co-worker’s recommendation over that of the hiring algorithm. The biological sex of neither the candidate nor the participant influenced in the decision.

Participants were presented with a fictitious scenario that did not involve real choices with real consequences. In a real-life setting, considerably more variables influence hiring decisions.

Results show that there are limits on the acceptance of technology based on artificial intelligence in the field of recruitment, which has relevance more broadly for the psychological correlates of the acceptance of the technology.

An additional value is the use of a methodological approach (CBC) with high ecological validity that may be useful in other psychological studies of decision-making in management.

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.

Congruent with the world-wide call to combat global warming concerns within the context of advancements in smart technology, artificial intelligence, robotics, algorithms (STARA), and digitalisation, organisational leaders are being pressured to ensure that talented employees are effectively managed (nurtured and retained) to curb the potential risk of staff turnover. By managing such talent(s), organisations may be able to not only retain them, but consequently foster environmental sustainability too. Equally, recent debates encourage the need for teams to work digitally and interdependently on set tasks, and for leaders to cultivate competencies fundamental to STARA, as this may further help reduce staff turnover intention and catalyse green initiatives. However, it is unclear how such turnover intention may be impacted by these actions. This paper therefore, seeks to investigate the predictive roles of green hard and soft talent management (TM), leader STARA competence (LSC) and digital task interdependence (DTI) on turnover intention.

The authors used a cross-sectional data collection technique to obtain 372 useable samples from 49 manufacturing organisations in Nigeria.

Findings indicate that green hard and soft TM and LSC positively predict turnover intention. While LSC amplifies the negative influence of green soft TM on turnover intention, LSC and DTI dampen the positive influence of green hard TM on turnover intention.

Our study offers novel insights into how emerging concepts like LSC, DTI, and green hard and soft TM simultaneously act to predict turnover intention.

This study aims to investigate about the use of artificial intelligence (AI) (man machine relationship) regarding organizational behavior. The aim of this research paper is to analyze whether the current AI is used also to replace man in “creative” activities.

This study is based on a qualitative and explorative approach. It is made a review of the literature with “Scopus” and “Web of Science” databases. The research fields are AI, organizational behavior, man-machine relationship and creativity.

Analyzing whether the intensive use of AI in organizational behavior can replace human work in creative activities.

The connection of AI with creative activities within the organization is only just beginning. For this reason, other sources, like Harvard Business Review, public reports and professional papers found on the internet have been considered. The most important limitation of this paper is that all the results presented here do not concern a single case study.

In this paper, there are some examples that can show the use of AI in creative activities; however, this does not complete the situation facing companies in any sector because the AI technologies used within enterprises are constantly evolving. It is possible to continue to do research in this field.

The paper is meaningful because highlights the development of AI toward creative activities typically of human resources. It is also interesting because it analyzes the exploratory use of AI in increasingly human work, generating positive and negative externalities.

This editorial introduces a special issue of the Journal of Services Marketing, dedicated to the concept of resilience in the services sector. This editorial aims to identify how service organizations, networks and systems are resilient in the face of or wake of marketplace disruptions.

Drawing on available literature in service research, the authors illustrate how service scholars can better understand the processes, relationships and outcomes that are a crucial part of resilience in service organizations.

This editorial presents a theoretical framework illustrating interactive, linked and interdependent resource-based resilience practices that enable service organizations and individuals to develop and grow resilience. The special issue papers identified six themes to guide future research: conceptual complexity and challenges of operationalization; culture, context and resilience; antecedents to resilience and outcomes; resilience and the complex world of artificial intelligence and technology; value co-creation; and service ecosystems.

This editorial presents service researchers with an overview of research examining the concept of resilience. It also demonstrates diversity in how the concept is defined and operationalized. Our theoretical framework illustrates a new way of conceptualizing service resilience by identifying three resource-based resilience practices in an increasingly ambiguous, dynamic and complex service world. Together these underpin the six themes for further research.