Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/C5CE5F87-4E09-44ED-846A-E96311568A94 | ||
| Year | 2018 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Theodoros Chronopoulos, "Examination of incentives and motivating factors of medical and nursing staff in the present working environment", Diploma Work, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2018 https://doi.org/10.26233/heallink.tuc.72943 | ||
| Appears in Collections |
Τhe present diploma thesis focuses on the study and examination of incentives and motivating factors of the medical and nursing staff in the present working environment. The process of motivating human resoursces, in medical and nursing departments, is particularly important as it directly affects workers' productivity, efficiency and effectiveness. Thus, by providing appropriate incentives to doctors and nurses, their motivation is ensured, which in turn will lead to efficient and effective patient care. In the framework of the present diploma thesis, a survey took place, which was carried out by collecting questionnaires and performing interviews with the medical and nursing staff who work in health organizations, clinics and facilities such as REA, MEDITERANEO and METROPOLITAN. Except from interviews in the working facilities, the answers to the questionnaire were also collected via email. Each respondent was asked to choose between different sets of selections that were created by combinations of differently rated work incentives (Salary, Promotional Opportunities, etc.) on a [good, moderate, bad] scale, which incentives combination he or she would like to enjoy more inside his/her working environment. In addition, our data were analyzed using the Choice Based Conjoint Analysis method , using Sawtooth Software. Moreover, a Latent Class model was used in order to test the heterogeneity among respondents' preferences for each combination of work incentives, and outline the profile of the different segments that the respondents belong to. Statistical analyzes, such as Pearson Chi Square, as well as the Multivariate Analysis of Variance (MANOVA) were carried out, using the SPSS software, in order to evaluate the relationships between 2 or more of the dependent and independent variables used in the survey.
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