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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.

The purpose of this study is to develop tree-based binary classification models to predict the likelihood of employee attrition based on firm cultural and management attributes.

A data set of resumes anonymously submitted through Glassdoor’s online portal is used in tandem with public company review information to fit decision tree, random forest and gradient boosted tree models to predict the probability of an employee leaving a firm during a job transition.

Random forest and decision tree methods are found to be the strongest attrition prediction models. In addition, compensation, company culture and senior management performance play a primary role in an employee’s decision to leave a firm.

This study may be used by human resources staff to better understand factors which influence employee attrition. In addition, techniques developed in this study may be applied to company-specific data sets to construct customized attrition models.

This study contains several novel contributions which include exploratory studies such as industry job transition percentages, distributional comparisons between factors strongly contributing to employee attrition between those who left or stayed with the firm and the first comprehensive search over binary classification models to identify which provides the strongest predictive performance of employee attrition.

This paper aims to focus on the issue of high employee turnover in the Indian tech industry. An integrative review is conducted to analyse the past and current state of literature, as well as prepare a research agenda for future studies.

A pool of 72 articles published between 2010 and 2022 is reviewed with a special focus on Indian tech employees. This study elucidates the extent and impact of employee retention strategies through content analysis.

Two broad perspectives have been established in the literature: the reasons for quitting and the explanations for staying. By means of a comprehensive review, this paper combines these two aspects of literature and suggests factors under organization’s control to retain competent tech employees.

The study is designed to integrate the two theoretical viewpoints of employee turnover literature by consolidating the reasons behind quitting behaviour and staying intention. Codes combining the two aspects are presented as a valuable resource to retain tech talent.

With talent management becoming an area of growing concern in the literature, the purpose of this paper is to investigate talent management and its relationship to levels of employee engagement using a mixed method research design.

The first phase was a survey on a sample of 272 BPO/ITES employees, using Gallup q¹² or Gallup Workplace Audit. Focus group interview discussion was based on reasons for attrition and the unique problems of employee engagement. In the second phase, one of the BPO organizations from the phase I sample was chosen at random and exit interview data was analyzed using factor analysis and content analysis.

The results were in the expected direction and fulfilled the research aims of the current study. In the first phase low factor loadings indicated low engagement scores at the beginning of the career and at completion of 16 months with the organization. High factor loadings at intermediate stages of employment were indicative of high engagement levels, but the interview data reflected that this may mean high loyalty, but only for a limited time. In the second phase factor loadings indicated three distinct factors of organizational culture, career planning along with incentives and organizational support. The first two were indicative of high attrition.

A limitation of the research design was a sample size of 272 respondents. Some of the Cronbach's alpha scores of the subscales of Gallup q¹² were low. The strength of the study lies in data triangulation, which was obtained through a mixed method approach, a survey and unstructured focus group interviews. There are theoretical implications for the construct of employee engagement. There seems to be a construct contamination from the fields of employee satisfaction, employee commitment and employee involvement, which is beyond the scope of this paper. Future studies in India may look into this area and construct an independent scale of employee engagement, focusing on the antecedent variables and testing them for theoretical underpinnings.

The present study indicated that a good level of engagement may lead to high retention, but only for a limited time in the ITES sector. The need for a more rigorous employee engagement construct is indicated by the study. Practical implications for retention in the BPO/ITES sector are referred to.

The purpose of this paper is to examine where high rates of employee attrition are a problem and put forward some possible solutions.

The paper concentrates on the experience of information technology (IT) firms in India.

The paper describes how employees seem most likely to leave a company after around five years. The longer an employee remains with a company, the less likely he or she is to leave.

The paper highlights the importance of making employees feel valued, keeping them informed of what is going on in the company, relating their work to the aims of the organization as a whole and ensuring that they have a clear career‐development path.

The paper stresses that high rates of employee attrition can harm not only individual companies, but also national economies as a whole.

The paper focuses on the IT industry in India to recommend how to reduce employee attrition.

The purpose of this paper is to enhance the readers’ understanding of the domain of talent management and employee engagement, and how the former culminates in the latter, specifically as a tool for retention of employees. The paper also attempts to probe and aid readers in understanding of the domain of talent management and employee engagement, specifically as a tool for retention of employees.

The paper is based on secondary research in the areas of talent management practices, employee engagement and talent retention. The authors have reviewed the existing body of work on these topics in order to arrive at an analysis of the practice of talent management and employee engagement and to successively measure its impact on the retention of employees. In order to aid the endeavor to bring some clarity to and explore the trends in talent management, the authors have based this paper on a systematic review of the existing literature which seeks to examine the modern thought process and evidence. Current examples are drawn from many leading companies and their practices are emphasized for better understanding. Various drivers responsible for engaging and retaining talent are studied by reviewing the existing literature. After analyzing the existing literature, the authors have arrived at talent retention and engagement practices that may aid and assist industry practitioners and policy makers in designing and implementing successful talent management initiatives. The authors have proposed a model for arriving at improved retention from talent management practices.

One of the most effective tools in ensuring that employees stay engaged and committed to their work is talent management. This sense of engagement or commitment toward their work ensures in turn that these employees stay with the organization in the long run. As the authors have begun analyzing the costs associated with recruitment, selection and the opportunity cost related to attrition, organizations have been concentrating their talent management efforts in the direction of retention. The paper concludes that a synchronization of talent management practices and employee engagement initiatives leads to improved talent retention and proposes a model to this end.

Owing to the fact that the paper is conceptual, the model and hypotheses the authors arrive at must be empirically tested by relevant stakeholders in the organization, specifically the stakeholders specializing in the area of talent management, in order to add further weight to the literature.

Derived from an extensive study of current and impending talent management strategies, the findings may aid organizations and policy makers to develop and refine talent management practices in order to engage human capital, with the ulterior aim of talent retention – a concern that plagues most contemporary organizations.

Preempting or preventing attrition is a priority in several organizations, and more often, in some industries as a whole. The authors examine how talent management practices can contribute to the efforts in preempting or preventing attrition in organizations. Adding to the existing literature on talent management, the paper explores the areas of talent management which directly affect employee engagement and in turn make a difference in talent retention. This link connecting talent management practices with retention deserves a greater amount of investigation, which the paper explores.

The purpose of this study is to explore the human capital (HC) value creation practices of knowledge‐based software and service exporter industry in India.

The study used HC disclosure attributes as a tool to the contents of the annual reports for the year 2003‐2004, to evaluate the type and amount of HC disclosed by the software firms. The study also conducted semi‐structured interviews with the heads of human resources (HR) of 14 software firms to obtain a greater understanding of the similarities between reporting and managed HC practices.

The study identified most reported and least reported attributes of HC using content analysis and explained their reporting of value creation using interviews and resource‐based view. The findings suggest that the HC reporting practices were consistent with interview findings. The frequency of HC attributes reported followed the extent of the management's perception of HC value creation to the firm.

The limitations of the study are: first, it is a cross‐sectional study; second, the findings may be applicable exclusively to the software and service industry in India and cannot be generalised to other industries in India or software industry in other countries; third, the assertions by the HR heads are assumed to faithfully reflect the firm's HC practices; fourth, the study assumes that annual reports are the primary documents available to public (stakeholders) requiring information on the firms.

This study provides an insight into the HC reporting practices of the nascent software and service exporter industry in India that is experiencing an economic boom that is positively influenced by the information technology software industry. This study throws light on the utilization of HC for value creation by the top software firms. This may help countries having tie‐up with Indian firms to understand the value creation process of these firms to sustain growth. The study would enable other software firms to understand HC reporting practices of the industry, and could use a framework that is similar to the framework used in this study.

The purpose of this study is to explore the dimensions of technology on which information technology (IT) professionals assess and evaluate a given technology. The authors believe that these dimensions influence their career outcomes and hold the potential to explain the intent to leave among IT professionals.

This study hypothesizes that the likelihood of a given technology being assessed favorably depends on various technology features perceived by IT professionals. These features influence their career prospects, thus influencing work outcomes like turnover intention. This study uses a survey-based quantitative technique to test the proposed research model. Data has been recorded from 312 IT professionals working in different service-based IT firms.

The findings of this study indicate that the technology IT professionals work with impacts their work and career-related outcomes. IT professionals evaluate and understand technology to assess the favorability of these technologies. Individual preferences to work with a specific technology are driven by that technology's possible influence on career outcomes such as the availability of job opportunities.

This study proposes that assigned technology influences career outcomes among IT professionals and has a potential to explain their turnover intentions. The authors have found that technologies fulfilling their career expectations, such as better work opportunities and job security, might be favorable for IT professionals. Unmet expectations with the assigned technology affect the turnover intention among IT professionals. Though this study examines turnover intention as an outcome, future studies can explore the attributes of technology relevant to IT professionals and their impact on other significant consequences such as work exhaustion and job satisfaction.

With a growing attrition rate and significant demand for skilled IT professionals, the importance of studying their behavior has become essential for both academia and the industry. Despite ample research, there is still a gap between theory and practice. This study on IT professionals proposes that understanding technology and how it is perceived, understood and evaluated by IT professionals might provide significant insights into their work behavior.

This study contributes to the literature by describing the unexplored phenomenon of the impact of technology assignment on IT professionals' work outcomes. This study is valuable in exploring a new dimension to explain turnover intention.

The social media (SM) engagement framework consists of dimensions of employee privacy expectations and organizations' social media orientation. Further, the social media privacy orientation model provides better understanding of complexities of selection and retention created by the social media landscape.

Organizations are increasingly seeking talent to support burgeoning social media strategies. Qualified employees may be expected to have related professional experience and an active personal social media presence. In contrast to this evolving demand, prevailing guidelines suggest applicants minimize their social media activity altogether. These restrictive guidelines may be better suited for organizations that prefer or require high levels of discretion on social media given the differing engagement expectations across firms and among individuals.

How the congruence between an employee's expectations of privacy on SM and the organization's expectation of employees' SM usage affects applicant attraction to organizations and employee retention is outlined. Propositions are offered to foster research in this area.

Social media congruence is an important consideration for human resource (HR) policies and associated training.

Public policies toward the use of social media in recruitment and privacy should consider social media congruence.

The model advanced in the paper provides organizations and applicants with a stronger understanding of the complexities surrounding the use of SM in selection and retention decisions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2021-0260

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This research dives into the interplay between the complex concept of employee engagement and the employee perception of HR practices (PHRP), within non-profits. Data from the respondents revealed that PHRP was a key, direct driver of engagement, both at an individual job role level, and at an organizational engagement level. Trust in HR processes is very much needed, for an organization culture in a non-profit to thrive. Weaving proof-through-behavior into HR practices can boost engagement and curb employee attrition, by helping employees to expect positive HR interactions in future.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.