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The paper aims to clarify how work-specific characteristics at both the individual and organizational level influence professional civil servants’ readiness for change during the implementation of reforms in public administration. We examine the influence of work characteristics at the individual and organizational levels, such as reform-related strains, organizational climate, and organizational professionalism, on the employees’ response to change. In addition, we also consider the interaction between these specific work characteristics.

This article employs a quantitative multi-level analysis to examine the influence of individual and collective predictors of employees' readiness for change. For our analysis, we used data from the evaluation of a school reform in Switzerland aimed at aligning teachers' working conditions with those of other administrative employees. The survey conducted for the evaluation includes responses from 2,162 teachers.

Our study expands the understanding in public management research of work characteristics that either promote or reduce employees’ readiness for change in the public sector. Our findings suggest that the organizational level, in our case the school level, influences the individual’s response to change. Furthermore, the role of organizational professionalism in terms of a reform-related transformation of the identities, structures, and practices of the actors concerned is highlighted as a potential stressor and catalyst that reinforces the negative correlation between reform-related stress and willingness to change.

This paper offers insights into how public managers can effectively overcome challenges in the implementation process of public school reforms. This also includes the awareness among change agents that positively associated changes at the organizational level may have negative consequences at the individual level, due to the fact that they affect professional understanding, for example, which may cause the affected actors to respond with resistance.

This paper contributes to the small number of multi-level research studies on the responses to change in public administration and answers the call for research to investigate the hurdles that may arise when implementing change. Further, the paper contributes to the literature on the impact of new public management (NPM) on the identity of professional civil servants.

Grounded in social cognitive career theory (SCCT), this study aims to examine the influence of contextual factors on the relationship between career satisfaction and organizational commitment, within the banking sector in Kuwait.

This study used a cross-sectional design analyzing a self-report questionnaire (N = 278).

This study investigates affective, normative and continuance commitment in relation to career satisfaction, within the banking sector in Kuwait. Findings indicate a positive relationship between career satisfaction and all of affective, normative and continuance commitment; although the relationship that appears to be the strongest is between career satisfaction and normative commitment.

The single site, cross-sectional approach is a limitation. The data were collected before the COVID-19 pandemic. Future research into career satisfaction and organizational commitment in different sectors is necessary and a replication of this study in a post-COVID context would also be valuable.

Human resource development (HRD) policies in contexts such as Kuwait should prioritize career progression initiatives to enhance career satisfaction and contribute to increased organizational commitment. More attention is necessary to organizational HRD career planning and development policies and processes. Effective line manager development programs to equip managers to provide feedback and constructive performance management are recommended, as is the organizational provision of career counseling and guidance to support career development policies and processes.

This study combines the use of established constructs with an SCCT theoretical lends to contribute new theorization of the relationship between career satisfaction and organizational commitment in non-Western cultural contexts. It challenges assumptions in current theorization of the relationship between career satisfaction and commitment that privilege affective commitment over other dimensions.

The understanding regarding the impact of entrepreneurial intentions on the job insecurity and depression is limited in the longitudinal settings, organizations need to know which factors can be added to decrease the psychological and career issues of visiting or contract employees. Thus, this research aims to investigate the person vocation fit and entrepreneurial leadership as a moderator in the relation of entrepreneurial intentions, job insecurity and depression in within- and between-person level with the time of 4 months' time lag.

The data was gathered by using survey method from visiting faculty of universities located in Punjab, in the longitudinal design of 4-wave months and M.plus software was used to do the mediation and moderation analysis.

Results revealed that job insecurity mediated the entrepreneurial intentions and depression, the person vocation fit and entrepreneurial leadership moderated the entrepreneurial intentions and job insecurity link in the following month.

This paper contributes in the literature of entrepreneurship and career management, by considering the role of person vocation fit and entrepreneurial leadership in the organizations of emerging countries that have high unemployment rate and mental health issues. This paper provides nuanced understanding of how these two constructs have influenced the entrepreneurial intentions-job insecurity-depression within- and between-person level in the visiting or contract employees. Therefore, made strong contribution to the theory of person- environment fit, the entrepreneurial event theory and the contingency theory in the longitudinal data. In addition, to generalize the results, this theoretical framework should be tested in the other geographic area and industries.

The findings give practitioners, e.g. managers, policy- makers and counselors, with an idea how to decrease the feelings of job insecurity and depression in visiting or contract employees. They can promote the culture of innovation by giving training of entrepreneurial leadership and hiring the employees who have person vocation fit, all of these factors can lead to enhance the positive organizational image in potential and existing employees as well as it will also decrease the unemployment issue in emerging countries.

In past, scholars focused on the consequences of job insecurity and its harms but none emphasized on the aspects of entrepreneurship regarding the visiting faculty of universities. Like how entrepreneurial intentions can gradually decrease the job insecurity and depression among them and how the strengthen of person vocation fit and entrepreneurial leadership role their play monthly in this regard.

The emergence of new generations of artificial intelligence (AI), such as ChatGPT or Copilot has brought about a wave of innovation in the service workplace. These robotic agents can serve as companions, helping employees cope with work-related stress. This research introduces the concept of “artificial companionship,” which explains how robotic agents can function as partners in assisting service employees to fulfill their job responsibilities and maintain their mental well-being.

This research uses a mixed methods approach grounded in social support theory from psychology and management to develop a conceptual framework for the stress-alleviating implications of artificial companionship. A qualitative employee survey is conducted to justify the relevance of the propositions.

This research delineates the concept of artificial companionship. It highlights four distinct roles that AI can play in companionship – instrumental, informative, caring, and intimate. Building on this foundation, the research presents a series of propositions that elucidate the potential of artificial companionship in mitigating stress among employees.

Firms should consider aligning the types of artificial companionship with the demands inherent in employees’ job responsibilities to better reinforce their resilience and sustainment in overcoming work-related challenges.

This research introduces a new perspective on artificial companionship through the lens of social support theory. It extends the current understanding of human-robot collaboration in service workspaces and derives a set of propositions to guide future investigations.

The purpose of this article is to illustrate an emerging typology that theoretically links work values with personal values and to provide evidence of construct validity for this typology.

A hypothesis was developed that four types of work values – intrinsic, extrinsic, prestige and affective – underlie the relative importance that individuals place on aspects of work. Evidence of construct validity was provided using triangulation analysis. Data from three different samples in Japan were analysed with three different techniques; exploratory factor analysis (N = 229), hierarchical cluster analysis (N = 244) and smallest space analysis (N = 203).

The results demonstrate acceptable internal consistency and a coherent structure that fits the theoretical model across methods and samples. These findings lend strong support to the use of the intrinsic, extrinsic, affective and prestige typology for studying work values. This will hopefully encourage field scholars to adopt the typology in future values-based explorations in the context of work.

The study adds to the emergent literature in business research that stresses the importance of triangulation analysis to enhance the reliability and validity of findings. In this sense, it is an innovative paradigm of a multiple triangulation approach, which combines both data and within-method triangulation. The methods employed covered – for the first time – all commonly applied techniques for exploring the structure underlying the data and provided inductive, deductive and spatial evidence to corroborate the observed structure of work values.

Subjective well-being has attracted attention in relation to its impact on job satisfaction and performance. As a result, companies would do well to encourage positive emotions and minimize negative ones in the workplace. This study aims to examine the factors that contribute to emotional contagion in the workplace in Japan.

The study builds upon previous research on emotional contagion by considering both personal and professional events using vignette questions and multiple regression analysis. A large group of permanent Japanese employees is included in the study.

Emotional contagion in the Japanese workplace was found to be primarily influenced by the level of familiarity between sender and receiver, and to a lesser extent by the receiver’s emotional susceptibility, group climate and the hierarchical difference between sender and receiver. Contrary to past research in other countries, several hypothesized predictors had little or no effect on emotional contagion among Japanese employees, such as communication frequency or empathy.

Given the persistent labor shortage and aging population, it is crucial for Japanese companies to understand how positive and negative emotions are transmitted in the workplace. This knowledge can assist them in establishing a work environment that can optimize employee well-being, performance and retention.

While the antecedents of emotional contagion have been extensively studied, their effects within Japanese corporations remain underexplored. Thus, this research investigates the factors that can foster the contagion of positive emotions while mitigating the transmission of negative emotions within the Japanese workplace, thereby addressing the prevailing challenges faced by Japanese companies.

Although numerous studies have been conducted to explore the impact of various factors on employees' turnover intention and intention to remain with the organization, the relationship between these two constructs remains largely unexplored. Considering the significance of these constructs, particularly in the context of the COVID-19 pandemic, the authors aimed to investigate their association within an academic environment using a dynamic modeling approach.

This study follows a quantitative approach and utilizes a longitudinal survey design. The authors utilized a cross-lagged panel model (CLPM) and employed the parametric efficient partial least squares (PLSe2) methodology to estimate the dynamic model using data gathered from lecturers associated with both public and private universities in Malaysia. In order to offer methodological insights to applied higher education researchers, the authors also compared the results with maximum likelihood (ML) estimation.

The findings of the authors' study indicate a reciprocal relationship between turnover intention and intention to remain with the organization, with intention to remain with the organization being a stronger predictor. Moreover, situational factors were found to have a greater influence on eliciting turnover intention within academic settings. As anticipated, the use of the PLSe2 methodology resulted in higher R² values compared to ML estimation, thereby reinforcing the effectiveness of PLS-based methods in explanatory-predictive modeling in applied studies.

The authors' findings suggest prioritizing policies that enhance training and consultation sessions to foster positive attitudes among lecturers. Positive attitudes significantly impact judgment-driven behaviors like turnover intention and intention to remain with the organization. Additionally, improving working environments, which indirectly influence judgment-driven behaviors through factors like affective work events, affect and attitudes, should also be considered.

This study pioneers the examination of the causal relationship between turnover intention and intention to remain with the organization, their stability over time and the association of changes in these variables using a dynamic CLPM in higher education. It introduces the novel application of the cutting-edge PLSe2 methodology in estimating a CLPM, providing valuable insights for researchers in explanatory-predictive modeling.