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Volume 1, Issue 1 (5-2013)
Abstract
Background and objectives: Emotional intelligence contributes to the success in leadership, especially among nursing managers. This study sought to determine the relationship between the components of emotional intelligence and transformational-transactional leadership style among the heads of nursing education departments of Iranian medical universities.
Methods: This cross-sectional study used convenience sampling to select the managers of 68 nursing education departments from the country’s universities of medical sciences. Data were collected using the Bar-On Emotional Quotient Inventory and Bass’s Multifactor Leadership Questionnaire. Data analysis was performed with Pearson’s correlation coefficient, analysis of variance, and Student’s test in SPSS version 16.0.
Results: There was a direct, positive correlation between emotional intelligence and leadership style (P < 0.05 r = 0.36). The components of problem solving, happiness, independence, self-actualization, emotional self-awareness, interpersonal relationship, optimism, and accountability showed significant correlations with all leadership styles. However, impulse control was not significantly correlation with any of the leadership styles.
Conclusion: Considering the significant positive correlation between the components of emotional intelligence and leadership styles, training about emotional intelligence and its components and reinforcing the components of emotional intelligence can be beneficial to presenting leadership styles and thus more successful management.
Shima Kazemi Malek Mahmoudi *, Kiomars Niaz Azari, Negin Jabari,
Volume 6, Issue 2 (6-2018)
Abstract
Background & Objectives: Knowledge-based economy is one of the major parts of the resistance economy and is recognized as the essentials of the information technology age. As one of the most important educational units and the custodian of community health, universities of medical sciences play a pivotal role in the success of resistance economy based on the knowledge-based economy. Among the employees of a university, the managers and faculty members play an important role in this regard. This study aimed to explain the dimensions of the resistance economy based on the knowledge-based economy in universities of medical sciences.
Materials and Methods: This qualitative research had a purposeful sampling method. Data were collected via library and field research. In the library method, the relevant specialized scientific texts and resources were exploited, whereas in the fieldwork, the researcher interviewed 24 faculty members. The interviews continued until saturation, and after being recorded, they were transcribed in Word software, coded, classified, and encoded by Microsoft OneNote. After that, the interviews were analyzed. It is notable that ethical considerations were observed during the research process. In the field method, the texts and books were evaluated and information searched in scientific and specialized websites. In addition, relevant articles recently published in valid international journals were translated, and primary data with the topic of translation were collected. In the field research and after coordination with faculty members and main elites with a history of article or innovation production or a management background, the opinions of the interviewees were asked about some questions in a semi-structured manner. In addition, three-stage coding, open coding, axial coding, and selective coding were applied in the research. To perform open coding, the main sentences were recorded as codes, followed by classifying the similar codes. In axial coding, the classes were related to their subclasses by comparing the primary classes of open coding and revolving the ones that resembled around the common axis. In selective coding, the integration and refining process of the categories was performed to form and present the model, and the dimensions were extracted and explained.
Results: From the perspective of the faculty members and key experts, resistance economy based on knowledge-based economy in universities of medical sciences could be explained in dimensions of information and communications technology, innovation and entrepreneurship in medical sciences, human resources and knowledge-based team, administrative and structural system, resources of equipment and abilities, policy and socio-environmental impacts. Each of these dimensions also included sub-groups and special themes.
Conclusion: According to the results of the study, it could be stated that moving towards the knowledge-based economy is one of the requirements of the country on the path to economic development, which involves dimensions such as information and communications technology, innovation and entrepreneurship, specialized knowledge-generating team, strategic planning and policy-making, formulating and ensuring the legal framework and legal system, supplying and developing electronic infrastructures, and paying attention to capabilities and resources of facilities.
Somayeh Mashmouli , Soheila Mashouf, Simin Esmaeilpour Zanjani,
Volume 6, Issue 2 (6-2018)
Abstract
Background & Aim: As the most important assets of each organization, employees face numerous challenges, which can have adverse effects on the quality of their work life and productivity, physical and mental health, well-being, and different dimensions of their health-related quality of life. This study aimed to evaluate the relationship between health literacy and health-related quality of life and work life quality of the employees in Golestan University of Medical Sciences, Gorgan, Iran.
Materials and Methods: This cross-sectional research was conducted on 285 individuals working in the departments of Golestan University of Medical Sciences. Subjects were selected through proportionate stratified random sampling. Data were collected using Walton Standard Health Literacy Questionnaire, as well as Quality of Life and Work Life Quality questionnaires. In addition, data analysis was performed in SPSS version 16 using descriptive indicators (frequency, mean and standard deviation) and inferential statistics (ANOVA, Tukey’s test, and Pearson’s correlation).
Results: In this study, the mean age of the participants was 36.1263 years. According to one-way ANOVA, a significant difference was observed between the age groups and their health literacy level (P=0.04). Moreover, a significant association was found between health literacy and all aspects of health-related quality of life and work life quality of the participants (P=0.001).
Conclusion: In the present study, the lowest score of quality of work life was related to fair payment, which showed the importance of more attention to this area by authorities and managers of universities.
