• Women's Health Nursing
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• v.14 no.2
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• pp.124-130
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• 2008

Purpose: The purpose was to identify marriage expectation and related factors among college students. Method: Data was collected by questionnaires from 329 college students in K university in Daegu. The data was analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression. Result: Marriage expectation among college students was significantly different according to gender, age and opportunities for employment. Marriage expectation among college students correlated with sex role attitudes. Significant predictors influencing marriage expectation were age, opportunities for employment, mother's job, and sex role attitudes, A combination of these predictors accounted for 10.3% of the variance in marriage expectation. Conclusion: These findings show that marriage expectation is influenced by age, opportunities for employment, mother's job, and sex role attitudes. Therefore when nursing interventions are developed to improve marriage expectation, these factors need to be considered.

• Korean Management Science Review
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• v.25 no.3
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• pp.135-155
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• 2008

This paper investigates the value of the expectation-confirmation model(ECM) of IT continuance in the internet shopping environments and attempts to expand the ECM with consideration of users diverse internet shopping factors and their preferences. Here, the extended ECM measures the users expectation-confirmation separately at the product, site and service levels, rather than treating it a single construct as measured in the original model. Further, AHP has been used for assessing the relative importance among the shopping factors, and the priority has been used for deriving weighted expectation-confirmation levels in the model. PLS analysis shows that there are significant differences in path coefficients between the ECM and a weighted ECM. This Indicates that users preferences among the diverse shopping factors need to be properly assessed to better understand the relationship between users expectation-confirmation and their continued usage behavior.

• Journal of Information Technology Services
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• v.17 no.4
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• pp.163-189
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• 2018

In this study, we analyze the acceptance theories of insurance services using blockchain technology. Although insurance services using block-chain technology are still in discussion, specific development methods for service methods applying block-chain technology in insurance services are being studied. In this study, the following analysis was conducted to analyze the acceptance of insurance services using block chain technology, focusing on four factors of the UTAUT model. As a result of the analysis, the technology benefits of the blockchain affecting the performance expectations of UTAUT are security and reliability. In addition, the factors influencing UTAUT's effort expectations were found to be availability and economics. Therefore, it was found that performance expectation and effort expectation for technology acceptance are influenced by different technology benefits. Among the four factors of UTAUT, the factors affecting the insurance service using the blockchain technology are performance expectation and effort expectation, and social influence and promotion condition have no effect on acceptance intention. Also, the moderating effect of user innovation on acceptance intention of insurance service applying blockchain was significant only for effort expectation among UTAUT factors.

• Journal of Korean Academy of Nursing
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• v.44 no.5
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• pp.525-533
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• 2014

Purpose: This study was done to propose and test a predictive model that would explain and predict fall prevention behaviors in postmenopausal women. The health belief model was the theoretical basis to aid development of a nursing intervention fall prevention program. Methods: Data for 421 postmenopausal women were selected from an original data set using a survey design. The structural equation model was tested for 3 constructs: modifying factors, expectation factors, and threat factors. Expectation factors were measured as relative perceived benefit (perceived benefit minus perceived barrier), self-efficacy, and health motivation; threat factors, as perceived susceptibility (fear of falling) and perceived severity (avoiding activity for fear of falling); and modifying factors: level of education and knowledge about fall prevention. Data were analyzed using SPSS Windows and AMOS program. Results: Mean age was 55.7 years (range 45-64), and 19.7% had experienced a fall within the past year. Fall prevention behaviors were explained by expectation and threat factors indicating significant direct effects. Mediating effect of health beliefs was significant in the relationship between modifying factors and fall prevention behaviors. The proposed model explained 33% of the variance. Conclusion: Results indicate that fall prevention education should include knowledge, expectation, and threat factors based on health belief model.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.1-17
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• 2021

This paper elucidates the effect of characteristics of service quality on continuance usage intention of digital healthcare service using mediating factors of user expectation and user utility. First, we classified independent factors into three types such as service system characteristics, user characteristics, and healthcare service characteristics from the previous studies, and investigated the effect of three independent factors on continuance usage intention of digital healthcare service. Second, we analyzed the impact of two mediating factors, user expectation and user utility, on the continuance usage intention. We developed a research model that includes three types of independent factors, mediated factors of user expectation and user utility, and a dependent factor of continuance usage intention. We surveyed a total of 357 samples from digital healthcare service users and analyzed the research model. The research results significantly show that Characteristics of Users is essential factor impacting a dependent factor of Continuance Usage Intention. The results indicate the followings: (1) Characteristics of Users including the variables of Innovation impacts User Expectation, and User Expectation affects Users Utility, and Users Utility also affects Continuance Usage Intention. (2) Characteristics of Service Systems including the variables of Functionality, Compatibility, and Convenience and Characteristics of users of Innovation variable impact the mediating factor of User Expectation, and User Expectation also affects the factor of Continuance Usage Intention. (3) Characteristics of Healthcare Services including the variables of Reliability, Ease of Operation, Safety, and Accuracy impact User Utility, and User Utility also affects Continuance Usage Intention.

• Korean Journal of Human Ecology
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• v.19 no.2
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• pp.295-310
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• 2010

This study measured college students' levels of satisfaction with their cyber learning through an online survey of students who had taken one or more cyber learning before. 500 returned and usable questionnaires were analyzed and SPSS WIN 12.0 was used for the descriptive statistics, t-test, factor analysis and analysis of covariance structures. The results are as follows; First, college students were very interested in their cyber learning. Their decision to take the cyber learning was initiated more by emotional motives (m=3.13) than by rational motives (m=3.35). Second, the consumers' expectations for the cyber learning were divided into the 'Expectation for service quality' and the 'Expectation for economy,' and their 'Expectation for economy'(m=4.02) was higher than their 'Expectations for service quality'(m=3.60). Third, the consumers' expectations for the cyber learning and the results of the cyber learning were analyzed, and a discrepancy between these two were also analyzed. The analysis of discrepancy between the two showed that the average of the results was lower than that of the expectations, which means that the cyber learning did not meet the consumers' expectations in every aspect, However, the average satisfaction level was 3.20, which means consumers were satisfied with the cyber learning overall. Fourth, causes of dissatisfaction with the cyber learning were divided into internal factors due to personal matters and external factors due to classes and other factors. It was found that dissatisfaction due to internal factors was greater than that due to external factors. Lastly, the factors affecting satisfaction/dissatisfaction with the cyber learning and willingness to use it again were analyzed. The results showed that the motive for its use affected the formation of expectation but it did not affect the results. Satisfaction with the cyber learning affected the willingness to use it again positively. However, the effect of dissatisfaction on the willingness to use it again was not statistically significant.

• Korean journal of food and cookery science
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• v.20 no.3
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• pp.299-309
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• 2004

This study investigated the degree of expectation and satisfaction with internship program of undergraduates majoring in culinary studies, and suggested improvements in satisfaction for training programs. Differences between expectation and satisfaction were significant in all 21 items including pay for internship program, rest spaces, and break time during working. Expectation questions were extracted to five factors. Factor 1 circumstances of kitchen Factor 2 staff's ability and attitude Factor 3 working environment Factor 4 working hours and pay and Factor 5 rotation, period, and placement of jobs. Five factors were also obtained from factor analysis of satisfaction. Factor 1 working hours and rest Factor 2 staff's attitude and pay Factor 3 facilities and sanitation Factor 4 circumstances of kitchen and Factor 5 period and placement of jobs. Overall satisfaction values showed significant differences depending on gender, school-year system, grade, age, and school. The working hours and rest factor had the most significant influence on the overall satisfaction with internship program of undergraduates majoring in culinary studies.

• Journal of Korean society of Dental Hygiene
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• v.15 no.3
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• pp.379-387
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• 2015

Objectives: The purpose of the study is to investigate the influencing factors of retirement expectation on retirement preparation in the dental technicians. Methods: The subjects were 231 dental technicians in Seoul. A self-reported questionnaire was completed from July 1, 2014 to September 30, 2014. The study instrument was adapted from Bae and Jeon. The questionnaire consisted of 42 questions including 6 questions of the general characteristics of the subjects, 2 questions of health status and self-esteem, 20 questions of retirement expectation, and 14 questions of retirement preparation measured by Likert 5 scale. Results: Single, younger aged, and highly educated female tended to have the expectation for the new start of career. The expectation for the rest was higher in single than in the married. The influencing factors of retirement expectation were marital status. Those who were single chose the retirement. Those who had long career preferred the new start. Conclusions: The preparation for the retirement is very important in one's life and it is necessary to provide the concrete method and plan for the dental technicians in the future.

• Management & Information Systems Review
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• v.17
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• pp.45-65
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• 2005

The purpose of this study is to contribute to a fundamental prevention of tax avoidance behaviors by individual businesses. For the purpose, this researcher surveyed factors surveyed individual business managers' disposition(type) of tax avoidance to determine factors influencing the avoidance, and proposed direction for further studies. Several hypotheses suggested here were verified to find that factors such as tax system, tax psychology, tax knowledge, social culture and the expectation of tax avoidance had effects on individual businesses' disposition of such avoidance. The multiple regression analysis made here showed that such factors as tax psychology, tax system and the expectation of tax avoidance affected the disposition of such avoidance and that the disposition was most influenced by tax system, followed by the expectation of tax avoidance and tax psychology in order. In conclusion, factors that have positive relations with tax avoidance, or tax burden and tax administration and those that have negative relations, or tax ethics and sanction are not helpful to preventing the avoidance. This is not consistent with previous results. Now behaviors of tax avoidance by individual businesses are prevailing and becoming more serious. In this sense, objective measurement devices should be developed to make possible further scientific studies about such behaviors. For the development, support by appropriate policies is needed.

• Korea Journal of Hospital Management
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• v.11 no.1
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• pp.110-126
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• 2006

The purpose of the study is to find the factors influencing small or middle size clinics and hospitals CEOs' expectation level on the affiliation with the large size teaching hospitals. Data for analysis was collected to use self-administrative structured questionnaire on 164 CEOs of small or middle sized clinics and hospitals affiliated with large sized teaching hospital located in Kyung Ki Province. For the study, the researchers develop the constructs for questions on the expectation on the affiliation, the attitude such as confidence, knowledge on the affiliation, previous relationship of the affiliation, and selection guideline of the affiliation with exploratory factor analysis and reliability test. Through the confirmative factor analysis using AMOS 4, the researchers develop constructs based on exact relationship between constructs and questions. CEOs' expectation level on the affiliation is influenced on attitude or confidence, gender, types of clinics and hospitals, distance to the affiliated large hospital, types of recommender, and number of affiliated hospitals. Large sized hospitals that want to affiliation with other clinics and hospitals can promote the affiliation to consider these factors from the results.