Dissertations / Theses on the topic 'Staff turnover'
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Mdindela, Sindiswa Victoria. "Staff turnover at selected government hospitals." Thesis, Nelson Mandela Metropolitan University, 2009. http://hdl.handle.net/10948/1191.
Full textWallace, Cristian Louise. "Turnover intentions of wilderness therapy staff." Thesis, University of Iowa, 2011. https://ir.uiowa.edu/etd/1274.
Full textWilson, Jeanne Lynn. "Employee Turnover in Frontline Hospital Staff." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/3129.
Full textHan, Xiaotang. "Factors driving staff turnover within micro retail businesses." Thesis, Cape Peninsula University of Technology, 2013. http://hdl.handle.net/20.500.11838/1692.
Full textEmployees are important to any business and without them businesses could be unsuccessful. This is particularly the case with micro retail businesses where employees are in direct contact with customers and more often than not, generate most of the revenue. Staff turnover on the other hand, may play a significant role and have an impact on business performance especially, in micro retail businesses. The success of micro retail businesses may be in understanding the possible causes of staff turnover and explored in this research. The aim of this research is to ascertain what causes staff turnover within micro retail businesses in Cape Town, South Africa, and how this can be reduced or prevented. To satisfy this goal, the research problem formulated as: It is unknown what interventions are needed for micro retail businesses to retain their staff The researcher conducted extensive literature analysis to understand the theoretical background and the possible factors that cause high staff turnover in micro retail businesses. Thereafter, the researcher uncovers the drivers causing staff turnover in micro retail businesses using a survey study. The research population is micro retail businesses in Cape Town, South Africa. Due to the nature of this research, a purposive sampling method is found to be the most appropriate. Questionnaires are used to collect primary data, whereas literature analysis assists with obtaining secondary data. The researcher found that remuneration, physical and employment working conditions and working hours are the top three most likely causes of staff turnover in micro retail businesses in Cape Town, South Africa. The researcher recommended that businesses should offer relevant and competitive remuneration packages, provide safe and secure working environments and arrange fair shift patterns. These would assist micro retail businesses to prevent or at least reduce high staff turnover.
Slabbert, Marna. "An analysis of staff turnover in the optometric industry / by Marna Slabbert." Thesis, North-West University, 2008. http://hdl.handle.net/10394/2331.
Full textHeymann, Marinus. "The impact of demographics on voluntary labour turnover in South Africa." Diss., University of Pretoria, 2010. http://hdl.handle.net/2263/23746.
Full textDissertation (MBA)--University of Pretoria, 2011.
Gordon Institute of Business Science (GIBS)
unrestricted
Ebrahim, Saima. "The causes of high staff turnover within selected hotels in Cape Town, South Africa." Thesis, Cape Peninsula University of Technology, 2015. http://hdl.handle.net/20.500.11838/1616.
Full textThe human resource department in the hospitality industry has a reputation for high staff turnover and labour instability due to various reasons, such as staff members who are not motivated and are not recognised for hard work. Another problem is employing unskilled staff, low staff remuneration, staff members not being trained and long working hours. The main research problem was: What were the reasons for the high staff turnover in the selected hotels of this research study? From the main research problem three sub-problems emerged the first being, Why does the selected hotels not understand what actually motivates their employees to stay on in positions? The other two sub-problems are stated in chapter 1. The main objective was to research the reasons why the selected hotels were experiencing such high staff turnover. According to Amos, Ristow and Pearse (2008:172), staff turnover can be from a combination of factors such as what the organisation pays, the working conditions, opportunities for promotion, the quality of supervision, and poor group relations, which makes it more or less appealing as an employer. The research design utilised a multi-strategy approach whereby both quantitative and qualitative data were gathered. The questionnaires were a quantitative data-gathering tool that provided the researcher with information relating to why staff turnover is so high in the selected hotels. Questionnaires were completed by human resource managers, senior managers, managers, supervisors and staff members. The qualitative data were obtained from the interviews and the literature review. Interviews were conducted with human resource managers (HRM) in the selected hotels to find out what problems they face and to find solutions to reduce staff turnover. The main findings were that many of those associated with the selected hotels maintain that hotel positions do not offer creative and intellectual development. Once people have understood the needs and demands of their particular job, their cultural learning and intellectual stimulation comes to an end quickly, causing people to lose interest in their jobs and look elsewhere. The main recommendations were that management styles and human resource practices should be applied to stimulate, communicate with and recognise staff potential. Money was not the main reason why staff resigned from their positions; rather it was the fact that managers were not acknowledging them for their hard work and that there was no growth within the selected hotels.
Thompson, Wendy Ann. "Staff Turnover in Juvenile Corrections: Predicting Intentions to Leave." Diss., Temple University Libraries, 2014. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/293945.
Full textPh.D.
Hiring and maintaining quality staff members is crucial in juvenile correctional facilities. Unfortunately, staff turnover is much more common in correctional agencies than other areas of government work. Although several studies have looked at rates and predictors of employee turnover in adult correctional facilities, few have assessed the issue among juvenile correctional staff. Therefore, this study was guided by two main questions: (1) what are the current turnover rates among frontline staff members at Delaware's public juvenile correctional facilities, and (2) what are the main factors that lead to frontline staff leaving? To answer the above questions, this study used a mixed-methods approach consisting of three stages. In the first stage, total rates of voluntary turnover were provided by an administrator from Delaware State's Division of Youth Rehabilitative Services (DYRS) Personnel Department. The voluntary turnover rates for juvenile correctional officers in Delaware's public facilities for 2011 and 2012 were 7 percent and 13 percent, respectively. This is slightly less than voluntary turnover rates from previous studies on juvenile correctional staff. The next two stages of research were designed to assess the best predictors of intentions to leave for Delaware's frontline staff members. Specifically, the second stage consisted of interviews with 14 staff members from five residential facilities across Delaware. The interviews increased our understanding of how aspects of job satisfaction and organizational commitment apply to this particular sample of employees and provided greater insight into two recently developed aspects of employee turnover theory: Job Embeddedness and the Employment Opportunity Index (EOI). More importantly, three aspects of employee turnover for this sample were discovered: commitment to youth, career stepping stone and job expectations. The discovery of new variables supports the idea that it is important for researchers assessing employee turnover to conduct face-to-face interviews with employees prior to analyzing survey data. The final stage of research compared three models of employee turnover. The first was based on Lambert's 2001 model of correctional officer turnover which stemmed from employee turnover theory. The second model was designed to assess improvement in predicting intentions to leave by incorporating two concepts, Job Embeddedness and the Employment Opportunity Index (EOI), that have not been tested in many studies on employee turnover. The last model that was tested incorporated the three new variables that were created based on the interviews in stage two. Intentions to leave was used as the outcome variable in this study. It measures the extent to which a person desires to leave his or her job. It was chosen for two reasons: 1) Samples consisting of employees who have quit can take years to obtain and 2) Assessing employees intentions to leave could be more useful to administrators. The sample for the last stage of this study consisted of 102 frontline staff members from five of Delaware's six facilities. The data for the last portion of this study were analyzed using structural equation modeling (SEM). This method was appropriate because it could assess the impact of both direct and indirect measures. However, because the sample size for this study was not adequate to run any of the models in full, ordinary least squares (OLS) regression was also incorporated. Results from the quantitative portion of this study showed that there were several variables that predicted intentions to leave for this sample. Similar to most studies that look at intentions to leave, job satisfaction and organizational commitment were two of the strongest predictors of intentions to leave. In terms of individual characteristics, race/ethnicity was the only statistically significant predictor. What was especially interesting about this result was that when previous studies found a race effect, it was that African Americans had higher levels of intentions to leave. This was not the case for this sample. Along these lines, race/ethnicity was significantly associated with one of the factors from Job Embeddedness, organizational fit, which assesses if employees believe they are an appropriate match for their job. Interestingly, whites had lower levels of organizational fit which resulted in higher levels of intentions to leave. Findings from this study have implications for the correctional literature and employee turnover theory. This study supported a long history of employee turnover studies that have found job satisfaction and organizational commitment to be the best predictors of employee turnover. At the same time, this study also found a new predictor of employee turnover specific to juvenile correctional officers: commitment to youth. This stands to have a major impact on future research on employee turnover, not just for juvenile corrections but also studies in the larger body of employee turnover in that this study made it clear that one model does not fit all workers. The concept, commitment to youth, applies only to employees who work with youths. And, the particular way commitment to youth was measured in the present study would only apply to those who work with at-risk youths. Therefore, this study should be viewed as an important step towards understanding the relationship between commitment to youth and decisions made by juvenile correctional officers. This study also had important implications for administrators of juvenile correctional facilities. A major finding stemming from the interviews, which was subsequently confirmed by the quantitative analysis, was that support from coworkers is vital to the overall performance of staff. In fact, subjects reported that a lack of support from coworkers was the difference between a good day and a bad day, and that it was never the juveniles that created a bad day for staff; it was their coworkers. Based on this finding, it is vital that administrators stress the importance of not only working as a team, but also the importance of respecting fellow staff members, especially in front of youths. To do this, administrators should encourage supervisors to demonstrate this type of behavior every day and stress the importance of it during trainings, especially the impact it can have on the residents; several staff members discussed how the youthful offenders can easily detect bad feelings among staff.
Temple University--Theses
Toni, Gladys Nosisana. "Accelerated staff turnover among professional nurses at a district hospital." Thesis, Nelson Mandela Metropolitan University, 2007. http://hdl.handle.net/10948/620.
Full textLindholm, Emil. "Stanna eller gå? : En kvalitativ studie om vad som får ingenjörer att vilja stanna inom ett företag." Thesis, Umeå universitet, Pedagogiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163176.
Full textBirmingham, Carolyn. "Factors effecting turnover and retention of staff in outdoor adventure organizations." Connect to resource, 1989. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1243618488.
Full textFransson, Sellgren Stina. "Nursing management at a Swedish University hospital : leadership and staff turnover /." Stockholm : Karolinska institutet, 2007. http://diss.kib.ki.se/2007/978-91-7357-330-6/.
Full textAlshareef, Abdullah Ghaleb S. "Identifying factors influencing Saudi Arabian nurses' turnover." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/130634/9/Abdullah%20Ghaleb%20S%20Alshareef%20Thesis.pdf.
Full textMorison, Rebecca, and n/a. "The impact of electronic performance monitoring on staff turnover in a call centre environment." University of Canberra. Health Sciences, 2002. http://erl.canberra.edu.au./public/adt-AUC20050530.111117.
Full textKhelekethe, Eric Phathisile. "Causes of staff turnover in selected departments: province of the Eastern Cape." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/8836.
Full textHarissis, K. "Staff turnover and wastage in the personal social services : A statistical approach." Thesis, University of Kent, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372767.
Full textTorres, Beth. "FRONTLINE NURSING LEADERS AND STAFF RETENTION IN AN ACUTE CARE COMMUNITY HOSPITAL." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1724.
Full textLi, Chui-po Peter. "Managing staff turnover effectively : a study on Cathay Pacific Airways' passenger handling services at Kai Tak airport /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B17983666.
Full textSanders, Linda S. "Parental Perspectives of Permanency Planning and Staffing Barriers in Child Welfare." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7737.
Full textIddrisu, Sulemana. "Contribution of Ghana's development of polytechnics to national prosperity and challenges to their sustainability : focusing on staff turnover." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9867.
Full textMpofu, Malibongwe. "An assessment of factors influencing staff turnover at Walter Sisulu University: 2010-2012." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1020629.
Full textGuðmundsdóttir, Sunna, and Emeli Kammerland. "Assessing Staff Turnover: A View from Hotel Workers in Reykjavík : Causes and Impacts." Thesis, Högskolan Dalarna, Turismvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28315.
Full textMavuso, Mda Adele Madikoma. "Staff Turnover in the Information and Communication Technology (ICT) Sector in South Africa." Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1263583671.
Full textButler, Carolyn Maeve. "Two sides of the same coin : patient adherence and staff turnover in substance misuse settings." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/25927.
Full textPhillips, Lisa. "Staff retention and generational diversity : workplace characteristics that predict affective commitment and turnover intentions /." [St. Lucia, Qld.], 2007. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe20085.pdf.
Full textMarshall, Stephanie. "Deconstructing child care, understanding the factors impacting upon staff turnover in child care centres." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ56348.pdf.
Full textLightle, Kevin Eugene. "The perceived stress and turnover intention of direct-care staff of community residential facilities." Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/39406.
Full textEd. D.
Chibba, Rajesh Chagan. "An empirical study on staff turnover and retention within Eskom : Eastern Cape Operating Unit." Thesis, Rhodes University, 2015. http://hdl.handle.net/10962/d1017514.
Full textKuuyelleh, Esmond Naalu. "An Examination of Academic Staff Conditions of Employment and Turnover in Ghanaian Technical Universities." Thesis, Curtin University, 2020. http://hdl.handle.net/20.500.11937/79931.
Full textSvensson, Karin, and Joakim Svensson. "Paying peanut, gettin monkeys? : Recruit and Retain Local Staff in China." Thesis, Jönköping University, JIBS, Business Administration, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-335.
Full textVidal, Burnette. "Stress and Burnout: Empathy, Engagement, and Retention in Healthcare Support Staff." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7090.
Full textEspinoza, Amy, Estefania Rojas, Jose Rojas, and Carlos Raymundo. "Methodology for reducing staff turnover in service companies based on employer branding and talent management." Springer Science and Business Media Deutschland GmbH, 2019. http://hdl.handle.net/10757/656352.
Full textThe turnover rate of personnel in companies in the service sector is approximately 10%. In Peru, this figure is above 15%, which generates high cost overruns for organizations. Companies with the highest turnover are the service companies, and the operational staff is regarded the key factor of these organizations. Previous research has been carried out on this issue, and the solutions are models with the objective of retaining employees, using Employer Branding, Endomarketing, and Talent Management techniques. However, for this study, a model based on the combination of these techniques was designed and applied. Thus, it is intended that the model managed to meet the concerns raised and to reduce costs in companies. The model was applied in a company in the fast food sector, aiming the frontline/operational personnel of the organization. The results showed that an agile recruitment process and development of personnel training significantly reduces high rates of personnel turnover and the costs presented by this. Additionally, it is proven that the leadership of store managers plays an important role in increasing employee satisfaction and commitment within the organization.
Sidelinger, Tia. "The Problem of Burnout among Early Educators and How it May Lead to Staff Turnover." Fogler Library, University of Maine, 2008. http://www.library.umaine.edu/theses/pdf/SidelingerT2008.pdf.
Full textAtkins, Mark A. "Staff turnover in long-term care : an intervention study in a group of care homes." Thesis, University of Sheffield, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538094.
Full textTörnqvist, Viktor. "Register based staff turnover statistics : An evaluation of the Employer declaration at the individual level." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-91575.
Full textLi, Chui-po Peter, and 李聚坡. "Managing staff turnover effectively: a study on Cathay Pacific Airways' passenger handling services at Kai Takairport." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B3126749X.
Full textGeldenhuys, Ashley. "The influence of perceived supervisor support, psychological empowerment and affective commitment on turnover intention among support staff at a selected tertiary institution in the Western Cape." University of Western Cape, 2020. http://hdl.handle.net/11394/7841.
Full textLiterature on turnover intentions revealed that various factors predict employee turnover intention. For higher education, the ongoing transformation that has been taking place has posed many challenges, one of them being the recruitment and retention of staff in academia. However, there is the notion that employees who experience sufficient support and acknowledgement from their supervisors are more likely to develop a sense of empowerment, thus helping in either creating or increasing feelings of commitment which could decrease turnover intentions.
Epp, Stephanie Ann Moss Rita Kay. "Conditions affecting Illinois National Board Certified Teachers' decisions to work in hard-to-staff schools." Normal, Ill. : Illinois State University, 2007. http://proquest.umi.com/pqdweb?index=0&did=1441197941&SrchMode=2&sid=9&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1216224113&clientId=43838.
Full textTitle from title page screen, viewed on July 16, 2008. Dissertation Committee: Kay Moss (chair), Paul Vogt, Thomas Crumpler, Lara Handsfield, Barnett Berry. Includes bibliographical references (leaves 150-163) and abstract. Also available in print.
Denson, Fabian Chad. "Knowledge worker motivation." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/29557.
Full textDissertation (MBA)--University of Pretoria, 2012.
Gordon Institute of Business Science (GIBS)
unrestricted
Thornton, Corinne. "DIRECT SUPPORT STAFF RETENTION AND TURNOVER IN THE FIELD OF APPLIED BEHAVIOR ANALYSIS: A NATIONAL SURVEY." Master's thesis, Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/531037.
Full textEd.M.
This paper explores the current rates and correlates of turnover among direct support staff working with individuals with developmental disabilities. While the United State Department of Labor, Bureau of Labor Statistics collects data on annual separation rates by a variety of industry sectors, there is not a recognized sector for the field of Applied Behavior Analysis. Other data sources similarly do not include Applied Behavior Analysis as its own industry sector, which produces a gap in knowledge. This study uses data obtained from providers of services for individuals with developmental disabilities in a national online survey to obtain rates of turnover for the field of Applied Behavior Analysis. Results indicate a lower rate of turnover than what is reported in the fields of education, and social services in general. The results also indicate that pay rate and amount of supervision offered increase retention while training offered pre and post hire has little correlation to rate of turnover.
Temple University--Theses
Hitchcock, Melanie J. "The Relationship Between Toxic Leadership, Organizational Citizenship, and Turnover Behaviors Among San Diego Nonprofit Paid Staff." Thesis, University of San Diego, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3713773.
Full textToxic leadership is associated with a number of negative consequences to the long-term health and welfare of people in organizations. Destructive leader styles redirect employee efforts from mission accomplishment to self-protection and survival behaviors, undermining the organization. Increased demand and decreased funding are characteristic of the nonprofit sector. Therefore, successful nonprofit organizations tend to rely on creativity and innovation to ensure their communities are appropriately and sufficiently sustained. Supportive, not toxic, leadership helps foster organizational environments that encourage prudent risk-taking and innovation.
This concurrent mixed methods study explored the relationship between toxic leadership and organizational citizenship and turnover behaviors among 471 survey respondents from a sample of San Diego nonprofit paid staff, and considered the influence commitment has on those relationships. An open ended question for those who reported experiencing toxic leadership provided additional context and depth as to why employees stayed in an organization in spite of abusive supervision. The findings of the study are of interest to leaders and managers of nonprofit organizations to develop policies and training processes as they strive to recruit, retain and develop talented employees.
Toxic supervision was found to exist in San Diego nonprofit organizations. However, its effect on organizational citizenship (OCB) and turnover behaviors was inconclusive, as was the influencing effect of commitment, in this study. However, both commitment and OCB-like ideas emerged as stated reasons that participants did not leave the organization, as did career, resilience and opportunity concepts. These identified variables suggest complex relationships that act in concert to influence staff retention indicating possible important opportunities for future research.
Msomi, Mzwandile William. "A survey of staff turnover and retention in the Eastern Cape Department of Agriculture, Ukhahlamba District." Thesis, Rhodes University, 2010. http://hdl.handle.net/10962/d1003846.
Full textLandu, Mzimkulu Christopher. "Job satisfaction, organisational justice in determining employee turnover among administrative staff at a university in South Africa." Thesis, University of Fort Hare, 2017. http://hdl.handle.net/10353/4784.
Full textMrara, Msibulele Theophilus. "An investigation of turnover and retention factors of health professional staff within the Eastern Cape Department of Health." Thesis, Rhodes University, 2010. http://hdl.handle.net/10962/d1003875.
Full textDong, Jun-Cheng, and 董峻成. "The Study of Nursing Staff Turnover Prediction Systems." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/47535119774986206533.
Full text國立中正大學
資訊管理所
93
Nursing staff turnover had been a major problem to healthcare institutes. This study explored the issue and established models to predict nursing staff turnovers based on the data collected in the period between January 2001 and December 2004 at a major hospital in southern Taiwan. We first split the data into a training set and a test set, and then used the former to build a Logistic Regression (LR) model and refined and tested it with the latter. An Artificial Neural Networks (ANN) model was established in the same fashion. These models were further tested with the monthly data spanned from January to June of 2005. A cluster analysis was also conducted to identify the characteristics of the highly turnover employees. The outcomes of the study are as follows. 1. Age, position, length of employment, education level, salary, number of dependents, marital status, household register, full-/part-time employment, service unit, and work experience were potential factors that affected nursing staff turnovers. 2. Artificial Neural Networks outperformed Logistic Regression analysis in predicting accuracy of the nursing staff turnovers. The high prediction accuracy of the models (91.01% for LR and 93.82% for ANN) would improve the effectiveness of hospitals’ human resource management in recruiting and keeping loyal and talented personnel.
Malunga, Chiku Watchman. "An investigation into factors affecting staff turnover amongst professional staff in NGO's in Malawi." Diss., 2003. http://hdl.handle.net/10500/2547.
Full textPublic Administration & Development Studies
M.A. (Development Studies)
Brown, Craig. "Why South African engineers choose to leave companies : a replication in the developing world." Diss., 2010. http://hdl.handle.net/2263/23844.
Full textDissertation (MBA)--University of Pretoria, 2010.
Gordon Institute of Business Science (GIBS)
unrestricted
Katamba, Henry Stanley. "Factors affecting voluntary nursing staff turnover in Mengo Hospital." Diss., 2011. http://hdl.handle.net/10500/5590.
Full textPublic Health
M.A. (Public Health)
Malinga, Khethukuthula. "Factors that influence the retention of middle managers in Company A." Thesis, 2011. http://hdl.handle.net/10500/4439.
Full textVather, Bremavishnu. "The factors driving staff turnover in the hardware retail industry." Diss., 2009. http://hdl.handle.net/2263/23299.
Full textDissertation (MBA)--University of Pretoria, 2010.
Gordon Institute of Business Science (GIBS)
unrestricted