INNOVATIVE BUSINESS BEHAVIOUR AND PERSONAL FEATURES: AN APPLICATION IN THE HEALTH SECTOR

Q2 Economics, Econometrics and Finance Journal of Asian Finance, Economics and Business Pub Date : 2023-09-01 DOI:10.17261/pressacademia.2023.1754
Ilknur Sayan, Hatice Mutlu
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(2008) and the Innovative Behavior Scale developed by Scott and Bruce (1994) and adapted into Turkish by Çalışkan et al. (2019). In the study, NCSS (Number Cruncher Statistical System) 2007 (Kaysville, Utah, USA) program was used for statistical analysis. While evaluating the study data, the distribution of the data as well as descriptive statistical methods (Mean, Standard Deviation, Median, Frequency, Ratio, Minimum, Maximum) Shapiro -Assessed with the Wilk Test. Kruskall-Wallis test for comparison of quantitative data of three or more groups; Mann-Whitney U Test was used for comparison of two groups. Spearman's correlation analysis was used to determine the relationship between quantitative data. Simple linear regression analysis was used to determine the factors affecting the dependent variable. Cronbach's Alpha values were found to be at a high level of reliability. Findings- Of the participants, 70.3% (n=64) were male, 39.6% (n=36) were 25-29 years old, 73.6% (n=67) were university graduates. When the work experiences of the participants are examined; It was determined that 38.5% (n=35) of them had 10 years or more experience. When examining the differences between personality traits and innovative work behavior; Compatibility personality traits of male participants were found to be higher than female participants (p=0.001;p<0.05). There is a statistically significant difference in extraversion personality traits according to the experience period of the employees (p=0.013;p<0.05). The extraversion personality trait value of employees aged 1-5 years was found to be statistically significant compared to those working between 5-10 years (p=0.001;p<0.05). It was found statistically significant that the value of the extraversion personality trait of employees aged 1-5 years was higher than those of 10 years or more (p=0.001;p<0.05). The fact that the extraversion value of the manager group was higher than that of the department managers was found to be statistically significant (p=0.001;p<0.05). It was found that the extraversion value of department managers was higher than those in charge of clinics (p=0.001;p<0.05). There was no statistically significant relationship between personality traits of agreeableness, honesty, emotional stability and gender, work experience, age, education level, and duration of experience (p>0.05). There is a positive and weakly significant relationship between extraversion and innovative behavior (r=.247, p<0.05). There was no statistically significant relationship between personality traits of adaptability, honesty, emotional stability and innovative behavior (p>0.05). Conclusion- As a result of the findings obtained based on the analysis in this study; It has been evaluated that innovative behavior is not associated with personality traits of agreeableness, honesty, and emotional stability, but only extroversion personality trait and innovative work behavior. According to the task status, the value of extraversion shows a statistically significant difference. It can be said that the value of extraversion increases as the status of individuals in their duties increases, due to the increase in the quality and quantity of the people they communicate with due to their duties. According to the duration of experience, the value of extraversion shows a statistically significant difference, and as the duration of experience increases, the value of extraversion decreases. In this situation; It can be said that the value of extraversion decreases as the duration of experience increases due to the fact that people have experienced business life more socially and technically. A positive and significant relationship was found between the personality trait of extroversion and innovative work behavior. Keywords: Innovative Behavior, Personality, Personality, Manager, Health Professional JEL Kodlar: J20, M10, L20","PeriodicalId":15124,"journal":{"name":"Journal of Asian Finance, Economics and Business","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Asian Finance, Economics and Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17261/pressacademia.2023.1754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
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Abstract

Purpose- Creativity and innovation in the workplace have been recognized as important determinants of organizational performance and success. In order to fully understand the effect of personality traits of healthcare professionals on job performance, this study aimed to determine the relationship between innovative work behavior and personality traits. Methodology- In this study, it was aimed to evaluate the relationship between innovative work behavior and personality traits. The research was conducted with 120 health managers working in three public hospitals in Istanbul. In the study, data were collected with the Personality Traits Scale developed by Raad et al. (2008) and the Innovative Behavior Scale developed by Scott and Bruce (1994) and adapted into Turkish by Çalışkan et al. (2019). In the study, NCSS (Number Cruncher Statistical System) 2007 (Kaysville, Utah, USA) program was used for statistical analysis. While evaluating the study data, the distribution of the data as well as descriptive statistical methods (Mean, Standard Deviation, Median, Frequency, Ratio, Minimum, Maximum) Shapiro -Assessed with the Wilk Test. Kruskall-Wallis test for comparison of quantitative data of three or more groups; Mann-Whitney U Test was used for comparison of two groups. Spearman's correlation analysis was used to determine the relationship between quantitative data. Simple linear regression analysis was used to determine the factors affecting the dependent variable. Cronbach's Alpha values were found to be at a high level of reliability. Findings- Of the participants, 70.3% (n=64) were male, 39.6% (n=36) were 25-29 years old, 73.6% (n=67) were university graduates. When the work experiences of the participants are examined; It was determined that 38.5% (n=35) of them had 10 years or more experience. When examining the differences between personality traits and innovative work behavior; Compatibility personality traits of male participants were found to be higher than female participants (p=0.001;p<0.05). There is a statistically significant difference in extraversion personality traits according to the experience period of the employees (p=0.013;p<0.05). The extraversion personality trait value of employees aged 1-5 years was found to be statistically significant compared to those working between 5-10 years (p=0.001;p<0.05). It was found statistically significant that the value of the extraversion personality trait of employees aged 1-5 years was higher than those of 10 years or more (p=0.001;p<0.05). The fact that the extraversion value of the manager group was higher than that of the department managers was found to be statistically significant (p=0.001;p<0.05). It was found that the extraversion value of department managers was higher than those in charge of clinics (p=0.001;p<0.05). There was no statistically significant relationship between personality traits of agreeableness, honesty, emotional stability and gender, work experience, age, education level, and duration of experience (p>0.05). There is a positive and weakly significant relationship between extraversion and innovative behavior (r=.247, p<0.05). There was no statistically significant relationship between personality traits of adaptability, honesty, emotional stability and innovative behavior (p>0.05). Conclusion- As a result of the findings obtained based on the analysis in this study; It has been evaluated that innovative behavior is not associated with personality traits of agreeableness, honesty, and emotional stability, but only extroversion personality trait and innovative work behavior. According to the task status, the value of extraversion shows a statistically significant difference. It can be said that the value of extraversion increases as the status of individuals in their duties increases, due to the increase in the quality and quantity of the people they communicate with due to their duties. According to the duration of experience, the value of extraversion shows a statistically significant difference, and as the duration of experience increases, the value of extraversion decreases. In this situation; It can be said that the value of extraversion decreases as the duration of experience increases due to the fact that people have experienced business life more socially and technically. A positive and significant relationship was found between the personality trait of extroversion and innovative work behavior. Keywords: Innovative Behavior, Personality, Personality, Manager, Health Professional JEL Kodlar: J20, M10, L20
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创新的商业行为和个人特征:在卫生部门的应用
目的——工作场所的创造力和创新被认为是组织绩效和成功的重要决定因素。为了充分了解医疗保健专业人员人格特质对工作绩效的影响,本研究旨在确定创新工作行为与人格特质之间的关系。方法论-在这项研究中,它的目的是评估创新工作行为和人格特质之间的关系。这项研究对伊斯坦布尔三家公立医院的120名卫生管理人员进行了调查。在研究中,数据收集使用Raad等人(2008)开发的人格特质量表和Scott和Bruce(1994)开发的创新行为量表,并由Çalışkan等人(2019)改编成土耳其语。本研究采用NCSS (Number Cruncher Statistical System) 2007 (Kaysville, Utah, USA)程序进行统计分析。在评估研究数据时,数据的分布以及描述性统计方法(均值、标准差、中位数、频率、比率、最小值、最大值)采用夏皮罗-威尔克检验进行评估。Kruskall-Wallis检验用于三组或三组以上定量数据的比较;两组比较采用Mann-Whitney U检验。采用Spearman相关分析确定定量数据之间的关系。采用简单线性回归分析确定影响因变量的因素。Cronbach’s Alpha值具有很高的信度。在参与者中,70.3% (n=64)为男性,39.6% (n=36)为25-29岁,73.6% (n=67)为大学毕业生。当参与者的工作经历被检查时;其中38.5% (n=35)有10年以上的工作经验。在研究人格特质与创新工作行为之间的差异时;男性参与者的兼容性人格特征高于女性参与者(p=0.001;p<0.05)。不同经历期员工的外向性人格特质差异有统计学意义(p=0.013;p<0.05)。1-5岁员工的外向性人格特质值与5-10岁员工比较有统计学意义(p=0.001;p<0.05)。结果发现,1-5岁员工的外向性人格特质值高于10岁及以上员工(p=0.001;p<0.05)。经理组的外向性值高于部门经理组,差异有统计学意义(p=0.001;p<0.05)。结果发现,科室经理的外向性值高于诊所负责人(p=0.001;p<0.05)。亲和性、诚实性、情绪稳定性人格特质与性别、工作经验、年龄、文化程度、工作年限的关系均无统计学意义(p>0.05)。外向性与创新行为之间存在正显著和弱显著的关系(r=。247年,术中;0.05)。适应能力、诚实度、情绪稳定性与创新行为的关系无统计学意义(p>0.05)。结论-根据本研究的分析得出的结论;研究表明,创新行为与随和性、诚实性、情绪稳定性等人格特征无关,而与外向性人格特征和创新工作行为相关。在不同的任务状态下,外倾性值有显著的统计学差异。可以说,外向性的价值随着个人在职责中的地位的提高而增加,这是由于他们因职责而与之交流的人的质量和数量的增加。根据经验的持续时间,外向性的价值呈现出统计学上显著的差异,并且随着经验的持续时间的增加,外向性的价值降低。在这种情况下;可以说,外倾性的价值随着经验持续时间的增加而降低,这是因为人们对商业生活的体验更加社会化和技术化。外倾性人格特质与创新工作行为之间存在显著正相关。关键词:创新行为;人格;人格;管理者
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