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This paper aims to provide a parsimonious but rigorous model to assist decision-makers to determine critical factors which can lead to higher graduation rates amongst higher education institution (HEI) participants. It predicts the odds of dropout amongst university students, using HEI data from a developing country. This is used as a basis for a Student Retention Predictive (SRP) Model to inform HEI administrators about predicted risks of attrition amongst cohorts.

A classification tool, the Logistic Regression Model, is fitted to the data set for a particular HEI in a developing country. The model is used to predict significant factors for student dropout and to create a base model for predicted risks by various student demographic variables.

To reduce dropout and to ensure higher graduation rates, the model suggests that variables such as age group, faculty, academic standing and cumulative GPA are significant. These indicative results can drive intervention strategies to improve student retention in HEIs and lessen the gap between graduates and non-graduates, with the goal of reducing socio-economic inequalities in society.

This research employs risk bands (low, medium and high) to classify students at risk of attrition or drop out. This provides invaluable insights to HEI administrators in the development of intervention strategies to reduce dropout and increase graduation rates to impact the wider public policy issue of socio-economic inequities.

This paper aims to introduce a new retention model suitable for academic setting that is based on the interaction between creativity, emotional intelligence and learner autonomy.

This paper uses quantitative research methods, especially survey, to justify the hypotheses testing and the components of new retention model. Based on the proposed model, three hypotheses have developed and tested using Smart Partial Least Square (SPLS) method. This paper also uses the qualitative data including documents, archival records and website analysis.

The findings denote that creativity, emotional intelligence and learner autonomy positively affect students' retention. The findings also indicate that there is a strong relationship between emotional intelligence and learner autonomy. It assumes that the study indicators might lead to students' retention and that autonomous learners persevere toward academic goals.

The paper concludes with discussion of limitations of the study, suggestions for future research, and how administrators of nontraditional programs can benefit from this study. This study has important implications for higher education decision makers and university leaders alike.

The proposed students' retention model symbolizes the interplay between the cognitive and affective domains of creativity and emotional intelligence, which can contribute to learner autonomy intentions, changes in persistence and formulation of new beliefs in higher education.

The industrial organizations all over the world are operating in a highly competitive and challenging business environment. Achieving customer satisfaction on a continual basis keeping in view of the increasing expectations of the customers has been the key to the growth of business and operations. Customer satisfaction and business development can only be achieved by retaining the competent and capable managers at different hierarchical levels of the organizations. But with the growing career opportunities and better employment prospects available, turnover of managerial personnel has become an increasingly important industrial problem worth studying in the recent years. The purpose of this paper is to examine the industry‐wide problem of managerial turnover.

The paper describes a study which is diagnostic in nature and which follows a causal design approach to empirically examine if the impacts of both the organizational social and technical subsystem elements on managerial retention are significant or not. In the first phase, a pilot survey was conducted on a sample of 93 managerial respondents at junior and middle levels in order to test the validity and reliability of the survey instrument. The second phase of the study was conducted on a sample of 444 junior and middle‐level managers from various organizations located in India to determine the causal impacts of the organizational social and technical subsystem factors on managerial retention through developing an integrated model by using the general linear modeling technique.

The results were in the expected direction and fulfilled the research aim of the current study. The factor analysis had grouped the items into seven constructs with a total of 53 items. Studies indicate that in industrial organizations the design of managerial jobs by balancing both the organizational social and technical subsystem elements does impact managerial retention. The empirical model developed through general linear modeling technique supports the proposed relationships.

Through identifying and empirically establishing the impacts of organizational social and technical subsystem elements on managerial retention in Indian context, this paper helps to understand the managerial expectations from their prospective employers. The top management of the business organizations may use the findings as guiding criteria, while constructing, managing, and evaluating their managerial retention strategies in Indian context.

The purpose of this paper is to develop a model that can be used to assess the knowledge retention capabilities of an organisation, and suggest opportunities for improvement. A model to fulfil this aim is developed and validated on a construction engineering consultancy.

A knowledge retention model was developed drawing on a thorough review of the literature. The developed retention model was validated through a case of a construction engineering consultancy. Semi‐structured interviews were used to elicit relevant information during the case study.

A four‐stage knowledge retention process has been presented. These four steps are socialisation, codification, knowledge construction, and knowledge retrieval. The paper also describes four levels of maturity for the knowledge retention model. The first level demonstrated the extent of knowledge sharing in the organisation, the second level measured the extent of knowledge shared being documented, the third level measured the effectiveness of storage of documented knowledge, and the last level was a measure of ease of accessibility and retrieval of the knowledge. A four‐level indicator of maturity of the knowledge retention process has been documented. For the case study analysed in this research, the maturity of knowledge retention was noted as being between two and three.

The model developed only captures knowledge that can be converted into an explicit form. The authors accept that there would be some tacit knowledge that cannot be effectively codified in explicit form, and such knowledge might not be captured using the model.

The paper has developed a model that can be used to measure the knowledge retention in an organisation. Although the model has been applied to a construction industry, it can easily be modified vis‐à‐vis other sectors.

The purpose of the present study is to investigate the mediating effect of organizational engagement in the relationship between supportive work environment (SWE) and employee retention.

Primary data of 211 respondents from 67 organizations were analysed. Confirmatory factor analysis was used to assess the dimensionality and validity of study variables. Further, the hypothesized model was tested with the help of multiple regression analysis.

The findings suggest that SWE plays a crucial role in predicting employee retention. Organizational engagement partially mediates the relationship between SWE and employee retention.

The data were limited to the Indian setting and of cross-sectional design only; so, it may not be generalized across the world. Further, the sample size is also comparatively smaller but the results are not affected adversely.

The role of SWE along with organizational engagement is currently under-researched in the Indian context. The present study is an intense effort to analyse the mediating effect of organizational engagement in the relationship between SWE and employee retention.

The main goal of employee retention is to prevent competent employees from leaving the company. When analysing the main reasons why employees leave and determining their turnover probability, the question arises: Which retention strategies have an actual effect on turnover and for which profile of employees do these strategies work?

To determine the effectiveness of different retention strategies, an overview is given of retention strategies that can be found in the literature. Next, the paper presents a procedure to build an uplift model for testing the effectiveness of the different strategies on HR data. The uplift model is based on random forest estimation and applies personal treatment learning estimation.

Through a data-driven approach, the actual effect of retention strategies on employee turnover is investigated. The retention strategies compensation and recognition are found to have a positive average treatment effect on the entire population, while training and flexibility do not. However, with personalised treatment learning, the treatment effect on the individual level can be estimated. This results in an ability to profile employees with the highest estimated treatment effect.

The results yield useful information for human resources practitioners. The personalised treatment analysis results in detailed retention information for these practitioners, which allows them to target the right employees with the right strategies.

Even though the uplift modelling approach is becoming increasingly popular within marketing, this approach has not been taken within human resources analytics. This research opens the door for further research and for practical implementation.

Prosocial lending in online crowdfunding has flourished in recent years, and it has become a new way to fundraise for philanthropy. However, there is almost a 70% user attrition rate in crowdfunding. The purpose of this study is to understand what the lender’s lending experience and social connection influence lender retention of online prosocial lending from a self-determination perspective.

Drawing on self-determination theory (SDT), this research utilizes a quantifiable method for factors of the lender's lending experience and social connection. Additionally, the research constructs economic models to explore the impacts of these factors acting as the necessary conditions for basic psychological needs on lender retention, using a large-scale sample of over 380,000 lenders from Kiva.

The results indicate that, from the lender's lending experience aspect, the loan narratives with more profit language in the last lending and the failure of past participation are negatively related to lender retention. Regarding the lender's social connection aspect, their friends or small lending teams are positively related to lender retention, while whether they are invited and lending team size show negative influence. Furthermore, results indicate the moderating effects of the disclosure of lending motivation.

This research explores the mechanism of lender retention of online prosocial lending, providing a self-determination perspective about how previous experience influences long-term lending behavior. The study offers significant implications for the literature on online philanthropy, SDT and user retention of online platforms. At the same time, the study provides an understanding of the effects of different aspects of SDT.

The purpose of this paper is to investigate why professional workers actually remain in their organisations.

The design of the study was cross-sectional. A number of factors important for the retention of professional workers were identified from the literature. A 19 item “retention scale” was developed based on the identified retention factors and their characteristics. It was proposed that the retention factors could be divided into two levels: organisational and job. The retention scale was completed by 138 workers form the UK site of a multinational Marketing company. The reliability of the scale was assessed using Cronbach’s α and was found to be 0.80.

Factor analysis supported the division of the retention factors into organisational and job levels with a two factor structure in which organisational levels loaded strongly on component 1 and job level items loaded strongly on component 2. Scores on these two subscales predicted individual workers’ intention to remain within their organisation using both MANOVA and logistic regression analysis.

This is a preliminary look at factors important for the retention of professional workers and as such has several limitations. A more comprehensive review of the literature on retention is required and further testing of the model is required with a larger sample size. Links with the literature on the psychological contract also need to be more fully explored.

This research has practical implications for practitioners due to the importance of retaining top talent for increased competitive advantage. The factors that have been found here to be important for retaining professional workers have also been observed in high performing companies.

The retirement of the baby boomer generation means that there has to be a greater emphasis on retaining key employees in organisations to mitigate the loss of key skills and competences.

Most previous studies and many HR managers concerned with the retention of professional and other workers tend to concentrate on those aspects of the job or of the organisation that make them leave. This study is concerned with why people stay with their employers.

The Chinese government hopes to achieve the goal of benefiting citizens by building a National Integrated Online Government Service Platform (NIOGSP). However, citizens' low adoption of the platform makes it difficult for the government to achieve its goal. Research on the influencing factors of citizen adoption of NIOGSP can help the government fully understand the concerns and needs of its citizens and take targeted measures to increase citizen adoption.

First, this research builds a model of the citizen adoption process, including attention, retention and motivation, based on an observational learning model. Next, research variables are determined based on social cognitive theory, literature review and real-world needs. Finally, based on the questionnaire survey and structural equation model, the influencing factors of each stage of the citizen adoption process model are studied and the relationship between the three stages of the model is verified.

Results show that perceived usefulness (PU) and self-efficacy (SE) positively affect attention. SE positively affects retention, while perceived privacy (PP) negatively affects retention. PU, social influence, PP and anxiety positively affect motivation.

The conclusion of this study can provide reference for governments in various countries to establish and improve online one-stop government. In addition, this study verifies the citizen adoption process model and finds that there is no obvious causal relationship between attention and retention, but both have positive effects on motivation.

This study explored moderating effects of employee generations on factors related to employee retention and motivation in the workplace.

The authors developed a survey instrument and collected the survey data via Amazon Mechanical Turk. After filtering out bad responses, the authors ended up with 489 sample cases for this study. The authors used structural equation modeling for data analysis.

Evidence showed that only transformational leadership was significantly related to retention of Generation X employees and only work–life balance had a significant relationship with intrinsic motivation. For Generation Y employees, transformational leadership was the only factor affecting their retention while both transformational leadership and autonomy showed significant impacts on their intrinsic motivation. Generation Z employees reported that only transformation leadership affected their retention while transformational leadership, corporate social responsibility and autonomy were significantly related to their intrinsic motivation in the workplace. All three generations showed statistical significance between intrinsic motivation and employee retention.

This study could help business practitioners increase employees' work motivation and retention.

First, our results revealed interesting similarities and differences between generations in terms of the factors that affected employees' retention and motivation. Second, this study proved that employees' generation affects the impacts of transformational leadership, CSR, autonomy, WLB and technology on their motivation and retention in the workplace. Third, the results of our study also showed that employees of different generations are intrinsically motivated by different factors, proving the importance of considering generational differences in motivation literature.