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Continuous performance management is an emerging global phenomenon adopted by the human resources management discipline that is decentralizing the way performance management is traditionally executed within organizations. This study aims to examine the impact of continuous performance management (CPM) on turnover intention in the banking sector in Dubai and to identify the mediating roles of employee motivation and job autonomy.

The study used surveys to collect primary data from 375 employees at 15 banks operating in Dubai to explore the relationships among CPM, employee motivation, turnover intention, as well as perceived job autonomy. Through a robust analytical methodology that included exploratory factor analysis and confirmatory factor analysis, multiple regression and parallel mediation analysis using the Hayes process macro, not only were the factor structures validated, but the relationships between the constructs were also uncovered. This comprehensive research process helped the present study delve into the depths of the study’s subject matter, thereby enhancing the value of the study to the extant literature which given the multicultural orientation, further contributed to the comprehensiveness of the conceptual relationship between the variables.

From the findings, the current study concludes that the key predictors of employee motivation, job autonomy and turnover intention in the banking sector among employees were CPM factors. In addition, based on the findings from the Hays process macro parallel mediation analysis, the current study identified the mediation effect of employee motivation and job autonomy between CPM and turnover intention. With the confirmation of all the research hypotheses, the output from this study is valuable to HR academicians and practitioners seeking to understand CPM and how to implement performance management drivers for the purpose of employee development and retention.

This paper’s originality lies in its examination of the burgeoning trend of CPM within the unique context of the GCC banking sector, a sector-specific focus that offers fresh insights into the adoption and impact of CPM in a regional context.

Despite the deployment of state-of-the-art methodologies for project management, employee turnover in projects remains high. Such turnover has significant costs in terms of replacing personnel, potential deadline overruns and financial expenditure. Employee turnover in project contexts may stem from time-related issues associated with multiple parallel projects and short deadlines. Using person–environment fit and time congruence theories, this research examines the relationship between employee turnover intentions and individual–organizational (I–O) polychronicity fit, which captures the degree of match between individuals’ and organizational preferences for focusing on multiple tasks simultaneously.

Survey data were collected from 309 software project employees in Pakistan. Hypotheses were tested using polynomial regressions and response surface modeling.

I–O polychronicity fit is related to turnover intentions. Turnover intentions are lower when I–O polychronicity fit occurs on the lower end of the polychronicity continuum, whereas turnover intentions are higher when fit is observed on the higher end of the polychronicity continuum. The relationship between I–O polychronicity fit and turnover intentions is significantly explained by exhaustion and perceptions of work overload.

The study’s insights provide recommendations for organizations to optimally manage multitasking to help retain project employees.

These findings extend our understanding of the underlying mechanisms between I–O polychronicity fit and turnover intentions. Furthermore, this research expounds on how employee exhaustion and perceptions of work overload explain the relationship between I–O polychronicity fit and turnover intentions.

In spite of the fact that today’s supply chains are global, it is surprising the current research lacks studies primarily focusing on Latin American (LATAM) firms. To enhance our understanding in this domain, this study examines the impact of technology investments on inventory turnover, asset turnover and employee productivity measures within the LATAM context.

We use an unbalanced panel of over 2,101 firm-year observations from the Worldscope database between 2010 and 2022 and limit our analysis to firms located in the Latin American region. We use panel data and regression analysis to test our hypotheses.

The findings reveal a positive impact of technology investments on inventory turnover, asset turnover and employee productivity.

There is a dearth of research in the discipline primarily focusing on the firms from the LATAM region. The extant literature has largely focused on the Western firms and we know from prior cross-cultural research that there are significant differences in terms of how firms and governments operate differently in emerging and non-Western regions such as LATAM or parts of Asia and Africa. By specifically focusing on a sample of LATAM firms, the study makes important contributions to the extant literature with respect to the role of technology investments in improving inventory turnover, and also on asset turnover and employee productivity. The study further provides implications for practice.

During the 2001 Association of College and Research Libraries (ACRL) conference, members were asked what they thought were the most pressing issues for academic libraries. As a result, the Focus on the Future Task Force was created and charged to study these concerns. One of the top seven issues was the recruitment, education, and retention of librarians (Hisle, 2002). Retaining librarians by preventing turnover has become one of the leading issues in academic libraries.

Employee turnover is a growing challenge for health-care providers delivering patient care today. US population demographics are shifting as the population ages, which leaves the field of health care poised to lose key leaders and employees to retirement at a time when patient care has grown more complex. This means health care will lose its core of key employees at a time when skilled leadership and specialized knowledge is most needed and directly impacts health care's ability to deliver quality care. Operational succession planning (OSP) may be one solution to manage this looming challenge in health care, as the process identifies and develops the next generation of leadership. Thus, this exploratory national study used a quantitative and cross-sectional design to examine the relationship between OSP and employee turnover. Demographic and 10-point Likert scale data were collected from n = 66 medical practices, using an online survey instrument. Data were analyzed using various descriptive and inferential statistical methods. Distribution (frequency and chi-square) analyses of the study sample, one-way analysis of variance (ANOVA), and regression analyses were performed across seven demographic characteristics of the medical practices: Specialty, Ownership Structure, Number of full-time equivalent (FTE) Physicians, Number of FTE Clinical Employees, Number of FTE Nonclinical Employees, Number of FTE Employees Left Position, and Region. Study results provided statistically significant evidence to support the relationship between OSP and employee turnover, highlighting that OSP was associated with lower employee turnover. The finding suggests that OSP can serve as an effective mechanism for increasing employee retention.

Although a significant body of work has amassed that explores the antecedents, correlates, and consequences of employee turnover in organizations, little is known about how employees go about quitting once they have made the decision to leave. That is, after the decision to voluntarily quit their job is made, employees must then navigate through the process of planning for their exit, announcing their resignation, and potentially working at their company for weeks after their plans to resign have been made public. Our lack of understanding of the resignation process is important as how employees quit their jobs has the potential to impact the performance and turnover intentions of other organizational members, as well as to harm or benefit the reputation of the organization, overall. Moreover, voluntary turnover is likely to increase in the coming decades. In this chapter, we unpack the resignation process. Specifically, drawing from the communication literature and prior work on employee socialization, we develop a three-stage model of the resignation process that captures the activities and decisions employees face as they quit their jobs, and how individual differences may influence how they behave in each of these three stages. In doing so, we develop a foundation upon which researchers can begin to build a better understanding of what employees go through after they have decided to quit but before they have exited their organization for the final time.

The flow of human capital into and out of organizations is a crucial aspect of organizational functioning, yet the bulk of the theory and research adopts a US-centric perspective. The purpose of this edited volume is for scholars embedded in contexts around the world to describe the relevance and implications (or lack thereof) of turnover theories in their particular context. We take a broad view of talent, focusing on the departure of human capital in general without necessarily restricting the analysis to those who disproportionately contribute to organizational success, and the authors focus on institutional contexts and culture because of their role in shaping employee norms and behaviors. We partnered with author teams embedded in countries and regions with a focus on capturing variance in contexts across the GLOBE clusters: Anglo (England), Confucian Asian (China; South Korea), Eastern European (Bulgaria), Germanic European (Germany), Latin American (Mexico), Latin European (Spain), Middle Eastern (Turkey), Nordic European (Denmark), Southern Asian (India), and Sub-Saharan African (South Africa). We provided each author team discretion to express their own voice, while also providing a common set of goals across chapters for consistency of contribution: a description of the institutional, legal, and cultural context as it relates to employee mobility, a review of context-specific research literature leading to a description of how the mechanisms and processes in prominent turnover theories may operate differently in a particular context, and implications for research and practice related to talent turnover and retention. Considering the contributions as a set, we identify important themes and overarching recommendations for scholars interested in studying employee retention and turnover around the globe.

This study aims to examine the impact of artificial intelligence (AI) adoption on job insecurity and its subsequent effect on turnover intentions within the hotel industry. It investigated how AI-induced job insecurity affects the likelihood of employees considering leaving their current hotel jobs for other hotels or for opportunities outside the hotel sector, mediated by feelings of job stress and insecurity.

Quantitative data analysis used 259 responses from frontline hotel employees. Confirmatory factor analysis was used to explore the factor structure and assess model fit indices. Structural equation modeling was then applied to test the hypotheses.

Findings reveal that AI awareness has a positive impact on job stress and insecurity. Moreover, job insecurity is found to positively affect turnover intentions, with a notably stronger effect observed for turnover intentions toward non-hotel companies. Additionally, the influence of social capital as a moderator on the relationship between job insecurity and turnover intention varies depending on the specific dimensions of turnover intention.

This study contributes to enhancing both theoretical frameworks and empirical insights into turnover dynamics within the hotel sector. However, future research should take into account employees’ positions, roles, organizations and career levels by examining these factors in relation to technology awareness, job stress, job insecurity and turnover intention.

This study initially focuses on the phenomenon of dynamic turnover issues within the hospitality sector, offering empirical and practical perspectives on effectively integrating new technologies and managing human resources amidst the automation and AI era.

本研究探讨了人工智能（AI）应用对酒店业工作不安全感的影响, 以及其对员工流失意向的后续影响。研究调查了AI引发的工作不安全感如何通过工作压力和不安全感的感受影响员工考虑离开当前酒店工作、转投其他酒店或者寻求酒店行业外的机会。

本研究采用了259名一线酒店员工的定量数据分析。采用验证性因子分析（CFA）探索因子结构并评估模型拟合指标。随后, 应用结构方程模型（SEM）来检验假设。

研究结果显示, AI意识对工作压力和不安全感有积极影响。此外, 工作不安全感被发现对员工流失意向产生正向影响, 尤其是对转投非酒店公司的流失意向影响更为显著。此外, 社会资本作为调节变量对工作不安全感与流失意向之间的关系的影响取决于流失意向的具体维度。

本研究有助于加强酒店业人才流失动态的理论框架和实证见解。然而, 未来研究应考虑员工的职位、角色、组织和职业水平, 通过研究这些因素与技术意识、工作压力、工作不安全感和流失意向之间的关系。

本研究首次聚焦于酒店业中动态人才流失问题的现象, 提供了在自动化和人工智能时代有效整合新技术并管理人力资源的实证和实践观点。

Firms pursue merger and acquisitions in order to gain valuable resources from acquired companies, including employee-held know-how and culture. This study aims to identify reasons employees choose to stay or leave in reaction to acquisitions. Seventeen employees involved in two major acquisitions in the software industry were interviewed for this qualitative study that goes beyond classical turnover variables to indicate that turnover or retention decisions depend on highly critical acquisition-specific variables such as leadership behavior, contact with new colleagues, or appreciation from the acquirer. We develop an acquisition-specific turnover model as a basis for further research on acquisition-specific turnover and to provide guidelines for practitioners dealing with retention and turnover during acquisitions.