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We develop a conceptual model, based on person-environment fit theory, which explains how employee age affects occupational strain and well-being. We begin by explaining how age directly affects different dimensions of objective and subjective P-E fit. Next, we illustrate how age can moderate the relationship between objective P-E fit and subjective P-E fit. Third, we discuss how age can moderate the relationships between P-E fit, on one hand, and occupational strain and well-being on the other. Fourth, we explain how age can impact occupational strain and well-being directly independent of P-E fit. The chapter concludes with implications for future research and practice.

Why would a hospitality or tourism enterprise’s talent program backfire to demotivate interns from engaging in their jobs? This study aim to synthesize theoretical strands from the self-determination theory, person–environment fit theory and conservation of resources theory to investigate the predictors of perceived person–job fit and how such a fit causes changes in interns’ job motivation over time.

A four-wave longitudinal study was conducted. The four waves of data obtained from over 251 interns in China were analyzed using latent growth curve modeling.

The findings demonstrate that abusive co-worker treatment moderated the impact of perceived negative social status and perceived overqualification on perceived person–job fit. Moreover, perceived person–job fit is a significant predictor of the initial level of job motivation and flattens the decrease in job motivation over time. These findings demonstrate that interns’ job motivation generally decreased over time, and perceived person–job fit may help dampen the change trajectory of job motivation.

This study contributes to the practice of education and organizations in hospitality and tourism management by advocating for better interventions to improve interns’ work experience and motivations. Also, organizations can create team-building opportunities and promote teamwork that contributes to the formation of cohesive relationships and improve personal bonding.

This longitudinal inquiry conducted in China underscores the perils of hospitality/tourism internship by synthesizing a framework based on the theoretical strands germane to person–environment fit, resource conservation and self-determination. It uncovers the dark side of internship – not only due to mismanaged internship experience, but also because it could backfire to create a demotivational spiral that may ultimately drive potential talents away from hospitality/tourism organizations and industry.

High turnover of project managers is a common phenomenon in the construction industry, which has a negative impact on the productivity and performance of construction firms. The study investigates the mechanisms of person-environment fit on turnover intention of construction project managers and the mediating role of job embeddedness. The authors also tested the moderating role of perceived organizational support in the influence of job embeddedness on turnover intention.

The data were collected from managers of 62 construction and infrastructure projects in Wuhan. Based on person-environment fit theory, job embeddedness theory and social exchange theory (SET), the authors employ structural equation modeling (SEM) to examine the hypotheses.

Results show that if project managers are not well-fitted with the environment of organizations, it reduces their embeddedness in jobs, which in consequence makes them more inclined to leave. Job embeddedness mediates the relationship between person-environment fit and turnover intention. In addition, the authors validated the moderating effect of perceived organizational support, showing that the higher the employee's job embeddedness, the lower the employee's turnover intention.

Construction companies can retain project managers and stabilize management teams through effective management strategies, thus effectively reducing the separation costs of construction companies.

Drawing on person–environment fit theory, this study aims to investigate how the relationships between service task types (i.e. utilitarian and hedonic service tasks) and perceived authenticity (i.e. service and brand authenticity) differ under different conditions of service providers (human employee vs service robot). This study further examines whether customers’ stereotypes toward service robots (competence vs warmth) moderate the relationship between service types and perceived authenticity.

Using a 2 × 2 between-subjects experimental design, Study 1 examines a casual restaurant, whereas Study 2 assesses a theme park restaurant. Analysis of covariance and PROCESS are used to analyze the data.

Both studies reveal that human service providers in hedonic services positively affect service and brand authenticity more than robotic employees. Additionally, the robot competence stereotype moderates the relationship between hedonic services, service and brand authenticity, whereas the robot warmth stereotype moderates the relationship between hedonic services and brand authenticity in Study 2.

Restaurant managers need to understand which functions and types of service outlets are best suited for service robots in different service contexts. Robot–environment fit should be considered when developers design and managers select robots for their restaurants.

This study blazes a new theoretical trail of service robot research to systematically propose customer experiences with different service types by drawing upon person–environment fit theory and examining the moderating role of customers’ stereotypes toward service robots.

Although a plethora of literature has developed person–job fit theory, how leaders' emotions affect followers' person–job fit has received insufficient attention. Drawing on emotions as social information (EASI) theory, the present research study investigated the impact of leaders' positive emotions on person–job fit and further explained the mediating role of psychological safety and the moderating effect of organizational identification.

Data were collected from 319 Chinese employees nested in 67 teams, and a cross-level design was adopted to examine the research hypotheses.

The results indicated that individual-level psychological safety played a mediating role in the cross-level relationship between team-directed leaders' positive emotions and individual-level person–job fit. Moreover, the authors found a cross-level moderating effect of team-level organizational identification.

This present research empirically showed that leaders displaying positive emotions in the workplace benefited followers' perceptions of psychological safety, which in turn improved followers' attitudes towards their job in management practice. In addition, organizational identification could positively advance this process.

This study is the first to evaluate the operational mechanism of leaders' emotion on followers' perceived person–job fit in the Chinese context. Person–job fit has primarily been investigated as a driver of employee outcomes in the previous research studies. These studies focussed on whether and how leaders' emotions improve followers' person–job fit.

The purpose of this paper is to examine the relationship between inclusive leadership and employee work engagement by identifying person-job fit as a mediator, and employee felt responsibility as a moderator.

Employing a two-wave survey from 261 employees across various industries in China, the study tests hypotheses using hierarchical regression analysis with the PROCESS procedure developed by Hayes.

The results show that inclusive leadership is positively related to employee work engagement through person-job fit. The results further demonstrate that employees’ felt responsibility moderates the positive direct relationship between inclusive leadership and person-job fit as well as the indirect relationship between inclusive leadership and work engagement via person-job fit.

Although two-wave data were used to test the model, issues of common method bias cannot be excluded because the data were collected from a single source (the employee).

Organizations should promote and develop inclusive leaders in the workplace to enhance employee work engagement, and pay attention to employees' felt responsibility for their work to ensure effectiveness of inclusive leadership.

Integrating social information processing theory and person-environment fit theory, this study enriches the theoretical foundation of inclusive leadership scholarship. This study deepens the understanding of the mechanism underlying the link between inclusive leadership and work engagement, as well as an important boundary condition of this relationship, by examining the mediating role of person-job fit and the moderating role of felt responsibility.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

Although the physical environment provides an important context for employees' work, there remain divergent findings regarding how different spatial settings, such as more open or more closed workspaces, impact employees. Employing research on the functions of the physical work environment, we contribute to a growing body of research on employees' interactions with their workspace by developing and measuring the notion of person–space fit (P-S fit). This construct affords examination of the multi-dimensional nature of employees' interactions with their workspaces, to understand how their perceived fit with the key functions of their workspace impacts their experiences and social network activity at work.

We first develop a new P-S fit scale and test its factorial, convergent, discriminant, and incremental validity over other person–environment fit concepts (N = 155). Next, in a naturally-occurring, quasi-field experiment of a workspace change intervention moving employees from predominantly closed workspace to more open workspace (N = 47 pre-move; N = 37 post-move), we examine how changes in both workspace layout and P-S fit impact workers' experiences of their workspaces (needs for task privacy and spaciousness) and collaborative behaviors (social network activity).

Our P-S fit scale consists of theoretically and empirically validated dimensions representing fit with four workspace functions: aesthetic fit; identity fit; instrumental fit; and collaboration fit. Instrumental fit is positively associated with experiences of task privacy, whereas aesthetic fit and identity fit positively associated with experiences of spaciousness, but no forms of fit were related to social network activity. However, the findings show that work-related social network ties tended to decrease, and new ones were less likely to form, in open office spaces.

Contributing to a growing body of research linking person–environment fit literature to workspace design, this study offers a new scale assessing P-S fit and provides some empirical evidence of its importance for understanding the complexity of the employee-work environment interaction.

Companies create brand fan pages (BFPs) on social media platforms to broadcast product information, increase brand awareness and engage customers. A common challenge facing BFPs is how to attract and retain followers effectively. Through the lens of the theory of person–environment fit (TPEF), the purpose of this paper is to develop and validate a theoretical model to explain the role of multidimensional fit perceptions in cultivating BFP users’ continued following intention.

Data collected from 193 active followers of BFPs on Sina Weibo, the most prevalent social media platform in China, were used to test the proposed model. The partial least squares method was employed to assess the relationships in the model.

The findings reveal that users will continue to follow the BFP if their needs align with what the BFP provides, and if they perceive their values and characteristics to match those of the brand and fellow followers.

This study is among the first to extend the research context of the TPEF from organizational behaviors to examining how perceived fit influences users’ continued intention to follow in the social media context. In addition to the theoretical contributions, the findings of this study have important implications for practitioners who undertake social media management or user behavior analysis.

This study presents data and discusses the relationship between occupational stress and organization theory for school administrators. Classical organization theory, focusing upon organizations as primarily bureaucratic in nature, and person‐environment P‐E fit theory, viewing the employee within the context of a work environment, are two broad theoretical frameworks that serve as bases for analysis and discussion. The objectives of the study follow: to report descriptive data about perceived levels of occupational stress, sources of stress, symptoms and coping strategies for building administrators from differing school settings; to provide comparisons between dependent variables of stress for specific independent variables such as school level and type; to apply organization theory to explain differences and relationships among variables; and to present a conceptually sound basis for further research on stress in education. A factorial ANOVA was used to test for main effect differences for the group dependent means for perceived occupational stress and the independent variables of level of school and school type. Several discriminant analyses were performed to determine the nature of discriminant functions for the dependent variables. Theoretically, highly bureaucratic schools should exhibit less stress than less bureaucratic schools. This was not supported. Person‐environment fit theory was better able to predict levels of perceived stress for school administrators.