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This article aims to examine whether specific job tasks measured at the individual level or personality traits are associated with wages and whether the relationship between personality traits and wages differs depending on the job tasks that individuals perform.

This study analyzes the association between job tasks and personality traits, and their interaction, with regard to wages using German employee data from 2017/2018.

Results suggest that nonroutine manual, interactive or analytic tasks are associated with significantly higher wages compared to routine manual tasks, and while extraversion and emotional stability are related to higher wages, agreeableness and openness tend to be associated with lower wages also within occupations. Moreover, the association between personality traits and wages varies depending on the job task requirements at the workplace. A high degree of extraversion in particular is associated with higher wages when the employee performs nonroutine manual, interactive or analytic tasks.

To date, especially the interaction between individual job tasks and personality traits on wages has not been extensively studied because data on both job tasks and personality at the employee level are scarce. This study contributes to the understanding of wage differences among employees.

Extensive work related to examining predictors and determinants of employee engagement and job performance have been conducted in past studies. A dearth of studies relating organizational culture and employee engagement with contextual and task performance in the hospitality industry necessitated the present study. This study aims to examine variability in the task and contextual performance owing to employee engagement and organizational culture.

The study has been conducted in four districts of Himachal Pradesh using a multistage sampling technique. A total of 360 hotel employees were involved in collecting their responses through a structured questionnaire.

The results of multiple regression showed that vigor, dedication and absorption variables of employee engagement contribute toward contextual performance. Vigor and absorption affect the task performance of employees. In the case of contextual performance vigor shows maximum contribution followed by absorption and dedication whereas for task performance, the maximum contribution is exhibited by absorption followed by vigor. Organizational culture sub-variables of experimentation, autonomy and trust came out to be major predictors, which help to improve contextual and task performance of employees.

The study suggests that psychological ownership, along with trust toward top management can create an enriched work culture, which influenced both the contextual and task performance of employees. The findings of the study can be practically used by government and private organizations for improving workforce performance in the hospitality industry. Future research can be conducted based on the findings of the study.

The study provides insight on how and to what extent cultural and employee engagement variables can affect employee’s contextual and task performance. The present study adds value to the existing literature and investigates the role of culture and employee engagement in enhancing task and contextual job performance. Managers and policymakers can use the findings of the study to improve organizational culture, employee engagement and performance of the employees in the hospitality sector. The study opens avenues for future studies.

The aging of the population is changing the composition of the workforce in most developed countries. With increasingly older and age-diverse workforces, organizations need to redesign jobs to keep their workers healthy, happy and productive across the lifespan. In the current research, the authors integrate socioemotional selectivity theory and selection, optimization and compensation theory with job design to investigate how certain job characteristics influence the work engagement of older and younger workers.

In a two-wave survey with age-diverse employees from multiple organizations (N = 372), the authors explore how autonomy and feedback contribute to the engagement of older and younger workers, depending on levels of task variety.

In the case of older workers the relationships between autonomy and engagement, and feedback and engagement are positive when task variety is low but non-significant when task variety is high. Conversely, in the case of younger workers the relationships between autonomy and engagement, and feedback and engagement are positive when task variety is high but non-significant when task variety is low.

The research contributes to the growing body of knowledge on aging and work, particularly the lifespan perspective on job design. Nonetheless, the correlational design warrants caution about drawing causal inferences.

The findings inform managers on how to combine autonomy, feedback and task variety to design jobs that can engage the multi-age workforce.

The research is among the first to investigate the combined effects of different job characteristics on age-diverse employees' engagement at work.

How to design jobs to support innovation is an issue that has received plenty of consideration over the past years. Building on the job characteristics model, the present study is set up to identify configurations of perceived job characteristics for innovation.

By adopting a fuzzy-set configurational approach (fsQCA), the research question is addressed through a two-wave self-report survey of 199 employees of an Italian manufacturing company.

Results reveal four compatible configurations of job characteristics leading to high levels of innovative work behavior and two for low levels.

The results offer guidance for managers and organizations that aim to strengthen employee-driven innovation by offering different recipes of job design to maximize the chance of boosting innovative behaviors among their workers.

This research is one of the first to empirically test the relation of job characteristics for innovative behavior using a configurational approach. By doing so it contributes to the literature by advancing the notion that innovative endeavors are determined by the holistic effects of different interdependent configurations of job characteristics.

At the dawn of a new decade, as ever more corporations are pursuing sustainable working conditions and advocating employee well-being, employees are increasingly tending to feel fatigued and drained by their work, which compromises their performance. Drawing on the job demands–resources model and social acceleration debate, the authors test a moderated mediation model. Specifically, the authors hypothesise that unreasonable tasks raise perceptions of emotional exhaustion when the pace of work is increased and investigate the moderating role of psychological detachment.

This study used a sample of 245 employees from Europe, all knowledge workers, to test the hypotheses.

Apart from unreasonable tasks being directly related with emotional exhaustion, this relationship was mediated by the perceived work pace. In addition, the authors establish psychological detachment as a relevant moderator for the mediating effect.

Managers and HR practitioners are equipped with a better understanding of the effects of an increasing speed of work, the conditions leading to it and the individual and organizational resources that may help to create healthy and meaningful job positions, which facilitate employee efficiency.

Our study expands the literature on contemporary stressors and adds to what is known about the ‘dark side’ of job demands that affect the organizational bottom-line, as well as the resource-based mechanism that can buffer the negative effects.

Improving employee’s performance has always remained an area of concern in the hospitality industry where employees’ performance is related to customers’ satisfaction. The inadequacy of research work on demographics and organization variables’ influence on contextual and task performance has led to present research. Thus, the purpose of this study is to identify role of demographic and organizational variables in affecting contextual and task performance of hotel employees.

Data was collected from a sample of 350 hotel employees. The research is based on primary data and a structured questionnaire.

Task performance of employees increases with the age but contextual performance improves up to 40-50 years and then remains constant. Low salaries and job insecurity affected the performance of employees. A change of designation alone, without a corresponding increase in pay, did not enhance the performance of the employees. The type and size of the organization significantly affect job performance.

The study is a contribution to the theory and practice of employee management and improving employee’s performance. Factors affecting contextual and task performance have been identified. Future research can be conducted based on this study.

The study has highlighted the significant effect of demographic variables, organizational variables on contextual and task performance of hotel employees. The hotel industry plays an important role in economic development of a country. The study is practically helpful for hotel industry to understand what demographical and organizational variables can be considered to enhance employee’s performance.

Previous literature has lacked in identifying factors, which can affect the contextual and task performance of hotel employees. The paper is contributing to the existing body of knowledge related to employees’ performance. The managers of hotel industry can use outcome of this research to improve job performance of the employees. Findings open new avenues for future research.

This study aims to test and analyze the effect of continuous commitment, task complexity, competence and personal value on employee performance millennial intervening job satisfaction.

This research method is quantitative with a sequential explanatory design, then data collection through a questionnaire, with a sample of 205 respondents—data analysis using Structural Equation Model (SEM) with the software Linear Structural Relationship (LISREL).

The results of research on the performance of millennial employees with intervening work satisfaction showed that continuous commitment (2.49), task complexity (2.74) and professional competence (2.0) had a significant effect. This means that the performance of millennial employees will increase if they get job satisfaction. With satisfaction, the commitment and competence of millennial employees are high. While the research results for the performance of millennial employees have a direct influence, only professional competence (2.27) and task complexity (4.06) are significant. This means that as high as professional competence is characterized by intellectual, emotional mood and attitude, owned by millennial employees, the resulting performance is increased even with complex tasks.

The findings of this study have significance for enhancing organizational performance so that businesses can maximize the performance of millennial employees by paying attention to job satisfaction, professional competence and personal values.

This research's contribution to millennial workers is to help them improve and develop their performance, allowing them to compete more effectively. The findings of this study have significance for enhancing organizational performance so that businesses can maximize the performance of millennial employees by paying attention to job satisfaction, professional competence and personal values.

The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.

An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.

The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.

While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.

This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.

Although we know that HRM practices can have a huge impact on employees’ innovative work behaviour (IWB), we do not know exactly which practices make the difference and how they affect IWB. Thus, the purpose of this paper is to determine the best HRM practices for boosting IWB, to understand the theoretical reasons for this, and to discover mediators and moderators in the relationship between HRM practices and IWB.

Based on a systematic review of the literature, the authors carried out a content analysis on 27 peer-reviewed journal articles.

Working with the definitions and items provided in the articles, the authors were able to cluster HRM practices according to the ability-motivation-opportunity framework. The best HRM practices for enhancing IWB are training and development, reward, job security, autonomy, task composition, job demand, and feedback.

The results of this study provide practical information for HRM professionals aiming to develop an HRM system that generates innovative employee behaviours that might help build an innovative climate.

A framework is presented that aggregates the findings and clarifies which HRM practices influence IWB and how these relationships can be explained.

We studied the relationship between job engagement and systematic problem solving (SPS) among shop-floor employees and how lean production (LP) and Internet of Things (IoT) systems moderate this relationship.

We collected data from a sample of 440 shop floor workers in 101 manufacturing work units across 33 plants. Because our data is nested, we employed a series of multilevel regression models to test the hypotheses. The application of IoT systems within work units was evaluated by our research team through direct observations from on-site visits.

Our findings indicate a positive association between job engagement and SPS. Additionally, we found that the adoption of lean bundles positively moderates this relationship, while, surprisingly, the adoption of IoT systems negatively moderates this relationship. Interestingly, we found that, when the adoption of IoT systems is complemented by a lean management system, workers tend to experience a higher effect on the SPS of their engagement.

One limitation of this research is the reliance on the self-reported data collected from both workers (job engagement, SPS and control variables) and supervisors (lean bundles). Furthermore, our study was conducted in a specific country, Italy, which might have limitations on the generalizability of the results since cross-cultural differences in job engagement and SPS have been documented.

Our findings highlight that employees’ strong engagement in SPS behaviors is shaped by the managerial and technological systems implemented on the shop floor. Specifically, we point out that implementing IoT systems without the appropriate managerial practices can pose challenges to fostering employee engagement and SPS.

This paper provides new insights on how lean and new technologies contribute to the development of learning-to-learn capabilities at the individual level by empirically analyzing the moderating effects of IoT systems and LP on the relationship between job engagement and SPS.