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Based on achievement motivation theory and two-factor theory, this research aimed to synergize cooperative goal interdependence (refer to possessing incentive factors) and illegitimate tasks (refer to the absence of security factors) and build a triple interaction model in the process of performance pressure affecting employees’ thriving at work.

This research collected 291 valid data through a two-point time-lagged method to test the direct effect of performance pressure on employees’ thriving at work and its moderating mechanism.

Performance pressure has a significant positive effect on employees’ thriving at work. Cooperative goal interdependence imposes an enhanced moderating effect between performance pressure and employees’ thriving at work. Illegitimate task imposes an interfering moderating effect between performance pressure and employees’ thriving at work and further interferes the enhanced moderating effect of cooperative goal interdependence.

Under the premise of advocating for employees to internalize performance pressure originating from the organizational performance management system into their own achievement motivation, leaders should establish incentive systems and security systems for employees to realize self-achievement through the process of goal management and task management.

This research confirmed the joint determination of incentive effect and insecurity effect on employees’ achievement motivation by cooperative goal interdependence and illegitimate task and revealed the boundary conditions of employees’ choice of thriving at work.

This paper aims to explore the effect of government support (short work allowances – SWA) on SME employees' job performance and employee motivation perceptions, during the COVID-19 pandemic in Turkey.

Survey data were collected from 2,781 employees working in SMEs registered to Small and Medium Enterprises Development Organization (SMEDO) in Turkey. The relationships were assessed through structural equation modeling with bootstrap estimation.

The results support the proposed framework illustrating the positive effect of government support on employees' perceived motivation and job performance. Findings indicate that employee motivation has exhibited a mediating effect between government support and job performance. Another important finding is that, contrary to the classical understanding of Herzberg's two-factor theory, SWA system was able to perform as a motivating factor during the pandemic by meeting the hygiene needs.

Since this is a cross-sectional research study, causal inferences cannot be derived from the research results.

There is a lack of empirical study on SME employees' perceptions on the government support during the pandemic, especially on the perspectives of emerging economies are infrequent. Turkey's case is unique in terms of providing insights on how perceived employee motivation is increased by the government supports (SWA) in Turkey, and how this motivation mediates the job performance perceptions. Besides, the impacts of government support are mostly studied at the firm or macro-levels, this study's unit of analysis is at individual level. Regarding the criticism from the motivation perspective of two-factor theory, COVID-19 context and its impact on the motivation needs have not been elaborated before. This article starts new discussions on how crisis contexts influence individual motivator factors.

While quiet quitting is not an entirely new phenomenon, no published research has examined its relationship to existing concepts from a human resource management and organizational behavior perspective. Therefore, this study is a critical reflection that aims to demonstrate the relationship of quiet quitting with concepts researchers in tourism and hospitality have extensively used to study related phenomena.

Gray literature was mobilized to capture the momentum of this new phenomenon, whereas scholarly research was reviewed to identify existing concepts associated with quiet quitting and suggest directions for theory-building and empirical research.

In its contemporary form, quiet quitting mostly resonates with younger employees, due to the drastic changes in workplaces following the COVID-19 pandemic. While quiet quitting closely resembles collective industrial action such as “work to rule” and “acting one’s wage,” it also has a psychological dimension, and can be understood through concepts such as work withdrawal, employee cynicism, and silence. Multiple theories and concepts are proposed to facilitate the conceptualization and operationalization of quiet quitting (e.g. organizational citizenship behavior, social exchange, psychological contract, organizational justice, conflict theory, equity theory, two-factor theory, job demands-resources and conservation of resources theories).

This research provides practical suggestions to managers in tourism and hospitality to prevent the occurrence of quiet quitting in the first place, as well as effectively handling it once it occurs.

Studies addressing quiet quitting are rare. This paper attempts to synthesize diverse concepts and theories associated with quiet quitting to understand its meaning, potential causes and to suggest avenues for future research.

The purpose of this paper is to investigate publicly traded restaurant companies and food & beverage companies from 2014 to 2019 in Taiwan to explore their human capital efficiency.

According to the theoretical framework of human capital in micro and macro perspectives, the empirical model is built with two stages; the first stage is to examine the perspective of micro-level human capital theory through determining whether knowledge ability and working experience (proxies for micro-level human capital) can efficiently convert to employee-level output such as salary. The second stage is to test macro-level human capital theory through checking whether company inputs such as salary expenses and benefits expenditures can be efficiently transferred into enterprise annual revenues.

The results of this research reveal that the average efficiency score of stage 1 is 73.6% while that of stage 2 is 75.1%; this indicates that micro-level human capital has more room to improve than macro-level human capital. Meanwhile, the findings also demonstrate that there is negative relationship between efficiency score from stage 1 and turnover rate; this implies that companies with higher micro-human capital have lower turnover rates. Furthermore, there is significantly positive relationship between a company's efficiency score from stage 2 and its return on equity (ROE).

This study contributes to both academia and industry. From a theoretical perspective, the theory of strategic human resources management is applied through the methodology of production theory to examine human capital management efficiency in the restaurant and food and beverage industry. From a practical perspective, this study identifies the factors that assist the restaurant or food and beverage industry retain employees and gain a solid workforce, because manpower is the core resource for an industry and a country to grow sustainably.

The objective of this study is to construct a theoretical framework concerning wage determination, grounded in principles and supplemented by conventional theories. It discusses the Islamic perspectives on minimum wage and examines contemporary challenges and intricacies in its application.

This study uses thematic analysis to create the conceptual framework, drawing upon a review of pertinent literature such as academic papers, books and articles published up to 2023.

The framework encompasses various categories, namely, employee characteristics, job characteristics, market factors, compensation practices and Islamic principles. Each category consists of multiple variables. The resulting framework offers a holistic and ethically grounded methodology for wage determination, aligning with both Islamic and conventional perspectives. This study notes the absence of a universally agreed-upon minimum wage. Islamic economics faces challenges due to the unclear application of principles, limited awareness, legal constraints and a lack of empirical evidence on wage systems, along with complexities in their implementation.

The paper’s limited scope focuses solely on the Islamic perspective on wage determination, without comparing it to the conventional viewpoint. This may have implications for future research.

The insights on Islamic principles and wage determination guide scholars and policymakers interested in promoting just and equitable wages.

This study is distinct in its integration of various factors to propose an all-encompassing framework for wage determination, rooted in the Quran and principles, while also reinforcing the framework with conventional theories. Additionally, it adds to the growing body of literature by investigating the Quran’s stance and principles on minimum wage, as well as discusses the challenges involved in implementing an Islamic approach to wage determination, which has received limited attention in Islamic literature.

This research intends to develop a model for predicting employees at a high-risk attrition and identify the most important factors affecting them.

In this study, using the triangulation technique of a mixed research method, the employee attrition problem is investigated by identifying its affecting factors. For that matter, data related to the human resources department of a pharmaceutical company in Iran are used. And to achieve the intended goal, advanced data mining algorithms and interviews with human resource managers are applied.

A model for predicting employees at a high-risk attrition is presented based on the gradient boosting machine algorithm with 89% accuracy. The use of the mixed research approach shows that qualitative and quantitative methods can be more effective in identifying the factors affecting employee churn or loss of staff. The results also contain a new situation arising out of the COVID-19 pandemic and remote working scenarios having impact on employee attrition. Finally, human resource policies are presented based on variables related to each of the identified factors.

The novel contributions of this study include real data related to a leading pharmaceutical company as well as a combination of two quantitative and qualitative methods. The hybrid approach can identify the reasons for attrition and, consequently, retention policies to benefit from the advantage of both approaches. Data mining can be useful to identify the factors, which are usually not mentioned in termination interviews, such as direct managers. On the other hand, the results obtained from termination interviews can also include features that the authors cannot identify through data mining, which are specifically related to the characteristics of the pharmaceutical industry such as building a more professional career path. From a practical perspective, since this company specializes in pharmaceutical marketing in a new way and is primarily comprised graduates, it is important to note that the churn of specialized people disperses organizational and technological know-how. On the other hand, the pharmacist community in Iran is small, and their attrition might adversely affect not only the reputation of an organization but the employer's brand as well. So, this research would help other similar firms in retaining their valuable human capital.

Job embeddedness is considered crucial for organizational success, as it promotes social capital and helps to reduce turnover. A holistic review of job embeddedness remains elusive despite gaining researchers' and practitioners' attention. Therefore, this study aims to synthesize the past literature to understand the concepts and emerging themes in the domain. Further, it helps identify future research avenues and proposes a comprehensive conceptual framework.

The study used bibliographic data of 263 Scopus-indexed publications from inception, i.e. 2001 to 2021, which were subsequently analyzed using diverse bibliometric and content analysis (TCCM) framework and software like Microsoft Excel, Vosviewer and “Biblioshiny” package in R language.

The study analyzes the domain via performance analysis which sheds light on the increasing publication trends and different significant contributors (authors, publications, countries, journals and universities). Science mapping techniques such as keyword analysis identifies author keyword evolution and trends. The content analysis showcases the dominance of diverse psychological theories applied in the domain. Also, the bibliographic-coupling analysis highlights major clusters and associated research publications. The study provides future research avenues, followed by a conceptual framework highlighting the antecedents, moderators and outcomes of job embeddedness.

This study is the first bibliometric and content analysis exploring job embeddedness and will aid in developing a comprehensive understanding of the research topic.

In this paper, the authors aim to present a novel methodological tool – necessary condition analysis (NCA) to aid managerial psychology researchers in properly testing necessity statements.

The authors employ NCA to analyze whether three basic psychological needs for autonomy, competence and relatedness are necessary for work engagement.

The authors illustrate the value and application of NCA by revealing that basic psychological needs for autonomy, competence and relatedness are necessary for work engagement, as proposed by self-determination theory (SDT).

The authors illustrate the importance of the sufficiency-necessity distinction and the relevance of a necessity logic in managerial psychology. They also discuss NCA's methodological implications for managerial psychology research, theory and practice.

The changing environment of today’s organizations creates an atmosphere ripe for emotions. This ebb and flow of emotions need to be managed to facilitate positive outcomes such as job satisfaction. This paper aims to provide evidence that emotional intelligence directly impacts one’s satisfaction at work. This paper attempts to go beyond these higher-order findings to examine the dimensional aspects of emotional intelligence and the impact each one has on job satisfaction.

Using a quantitative survey conducted among 427 US-based workers, this paper tests a disaggregated emotional intelligence model and its hypothesized relationships with job satisfaction through structural equation modeling (SEM). Additional analysis includes confirmatory factor analysis (CFA) and a two-stage common method variance assessment.

The results confirmed the positive impact of the dimensions of emotional intelligence on job satisfaction. However, with interactive effects in place, the results also found signs of reciprocal suppression and could not confirm that all four emotional intelligence dimensions significantly and positively related to job satisfaction.

These findings are significant in that they are among the first to elaborate on the dimensions of emotional intelligence and their role in the improvement of one’s satisfaction at work. Further, these findings legitimize the use of the theoretical higher-order model of emotional intelligence in lieu of investigating its dimensional aspects.

This study aims to evaluate and compare the quality of work life (QWL) of nurses, in pre- and post-COVID-19 pandemic situations.

The study adopts a descriptive research design. Data were collected during the pre- and post-pandemic periods. The target sampling unit of the study comprises nurses working in Bangalore city, Karnataka, India. The minimum sample size was determined (Bartlett et al., 2001) as 385. The scale validation is carried out. The factors for the present study were explored using exploratory factor analysis and confirmed by confirmatory factor analysis. Model fitness (proposed measurement model) is ensured by using fit indices. The linear regression method was used to measure the level of QWL of nurses.

The present study noted that key factors that affects the QWL of nursing staff are work condition; work environment; work-life balance; compensation and reward; career development; job satisfaction and security; organization culture; relationship among co-workers and stress. Further, it is noticed that QWL of nurses pre-COVID-19 pandemic is 87.2%, while post-COVID-19 pandemic, it is 67%.

Present study can be extended to address the same research question by considering sampling unit such as therapist, technicians and sanitarians who have equally undergone tremendous pressure during pandemic.

The study outcome provides references for organizations engaged in health services to understand the extreme job conditions posed by pandemic. The constructive inspiration (physio-social and organizational support) reinforces the nurses to continue in their professions by decreasing negative impact.

The research paper extends the contributions of Hwang (2002), Nikeghbal et al. (2021), Howie–Esquivel et al. (2022) and Rania et al. (2023) and add to the existing body of the QWL literature. The outcome of the research records the prevailing conditions of pandemic and its effect on changes in work environment with specific reference to health-care sector.