Journal of the Korean Society of Clothing and Textiles
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v.16
no.4
s.44
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pp.443-455
/
1992
The purpose of this study is to verify the theoretical model on the clothing satisfaction. Research problems are as following; 1. To identify a causal model on the clothing satisfaction. 2. To examine the causal model by the brand levels. 3. To examine the causal model by the consumer characteristics. The empirical study of the above research problems is carried out by the longitudinal survey. The subjects selected for the final analysis are 362 women living in Seoul and Pusan. The results of our analysis are as following; 1. The main causal course of the clothing satisfaction is that the brand level and the consumer expectation $\rightarrow$ the expectation $\rightarrow$ the perceived performance ($\rightarrow$ the disconfirmation) $\rightarrow$ the clothing satisfaction. Those relevant variables explain $70\%$ of the clothing satisfac-tion variance. Especially, the influence of the perceived performance appears to be greater than that of the disconfirmation. 2. According to our analysis, the expectation influences the clothing satisfaction indirectly through the perceived performance. Especially, the normative expectation exhibits the contrast effect on the disconfirmation, while the predictive expectation exhibits the assimilation effect on the perceived performance. 3. The clothing satisfaction model differs by the brand levels (high price brand vs. moderate price brand) and by the consumer involvement levels (high involvement vs. low involvement). The relevant variables explain $65\%$ of the clothing satisfaction variance in the high price brand, while they explain $77\%$ in the moderate price brand. In the high involvement group, the relevant variables explain $78\%$ of the clothing satisfaction variance and $60\%$ in the low involvement group. In both involvement groups, the most critical direct variable is the perceived perfor-mance. In conclusion, we find that the clothing satisfaction can be explained by three constructs, the expectation, the perceived performance and the disconfirmation. The hypothesis that the two dimensions of the expectation explain the clothing satisfaction better is empirically supported in our study. Finally, we find that the clothing satisfaction models differ between two brand levels and consumer involvement levels.
User satisfaction has been widely used by information system(IS) researchers as the most appropriate surrogate variable for the systems success since Bailey and Pearson(1983) provided their user satisfaction measurement. Because user satisfaction is a perceived performance measure by users, not a real or objective measure for systems success, however, perceived user satisfaction by users may not be exactly identical with the real systems performance. In this regard, if the user's ultimately perceived satisfaction is different from the real systems performance, we need to investigate why these two measures are different and which factors may cause the difference. From the perspective of disconfirmation of user expecations, this study examined why user satisfaction and real systems performance may not be identical each other. Expectaion-disconfirmation theory which has had a central role in marketing in explaining the effects of expectation and disconfirmation on consumer satisfaction was similarly adopted in this study to explain the role of expectation and disconfirmation in user satisfaction in the IS environment. Based on the expectation-disconfirmation theory, the current study developed a research model to examine the effects of expectation, system performance, and disconfirmation on user satisfaction in particular. Six research hypotheses derived from the research model were empirically tested using the partial least squares(PLS) method. The results of the statistical analysis indicate that the effects of system performance and disconfirmation were fairly strong on user satisfaction, while the user's expectation has shown insignificant influences on user satisfaction.
Journal of the Korean Society of Clothing and Textiles
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v.35
no.3
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pp.281-291
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2011
This study investigates the influence of self-efficacy in purchasing clothes in the consumer satisfaction formation process. A survey was conducted on 300 adults living in the Seoul and Gyeonggi area and 231 completed questionnaires were used for analysis. The survey questionnaires measured the respondent's self-efficacy in purchasing clothes, expectation, perceived performance, expectation confirmation, and satisfaction level. The data were analyzed by moderated regression analysis. The results are as follows. First, for apparel products, perceived performance, and expectation confirmation have a direct effect on consumer satisfaction, while expectation has no direct effect on consumer satisfaction. This finding agrees with the results reported in a previous study on consumer goods with low ambiguity in assessing products and services including sneakers, underwear, cereals, and financial services. Second, the lower the self-efficacy in purchasing clothes, then the increased effect of the expectation confirmation that influences consumer satisfaction. However, the self-efficacy in purchasing clothes did not show any moderating effect on the perceived performance affecting the consumer satisfaction. The self-efficacy in purchasing clothes seems to have a moderating effect on the consumer satisfaction formation process by affecting the ambiguity in pre-purchase product assessment and not in post-purchase product evaluation.
Purpose: The aim of this study was to investigate the perceptions of nurses regarding their roles in social welfare facilities, including role expectation, role performance, and role conflict and its influencing factors. Methods: Data were collected by administering a structured questionnaire to 92 nurses working in 5 types of social welfare facilities. Descriptive statistics, paired t test, Pearson correlation coefficient, and multiple linear regression analyses were performed using the SPSS Win 18.0 program. Results: The mean score of role expectation ($4.44{\pm}0.41$) was significantly higher(t =17.50, p<.001) than that of role performance ($3.46{\pm}0.005$). The biggest mean difference between role expectation and role performance was found in "research activities" ($2.92{\pm}0.81$). The mean score of role conflict was $2.89{\pm}0.66$, with the highest mean score found in "conflict caused when one nurse takes up two or more roles" ($3.31{\pm}0.69$). The influencing factors on role conflict were the difference between role expectation and role performance(${\beta}=.45$, p<.001), and facility size (${\beta}=-.37$, p<.001), which accounts for 51.5% incidence of role conflict controlling nurses' age, career, position, and working periods in social welfare facilities (F=17.13, p<.001). Conclusion: The nurses working in the social welfare facilities perceived some restrictions on their role performance compared with their role expectation, this difference being a major factor influencing their role conflict. Therefore, future studies need to investigate interventions to minimize this effect.
The inference for incomplete data such as missing data, truncated distribution and censored data is a phenomenon that occurs frequently in statistics. To solve this problem, Expectation Maximization(EM), Monte Carlo Expectation Maximization(MCEM) and Stochastic Expectation Maximization(SEM) algorithm have been used for a long time; however, they generally assume known distributions. In this paper, we propose the Metropolis-Hastings Expectation Maximization(MHEM) algorithm for unknown distributions. The performance of our proposed algorithm has been investigated on simulated and real dataset, KOSPI 200.
Kim, Se Young;Kim, Eun-Kyung;Kim, Byungsoo;Lee, Eunpyo
Journal of Korean Academy of Nursing
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v.46
no.3
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pp.338-348
/
2016
Purpose: The purpose of this study was to examine correlations between nurses' self-leadership and individual work role performance and correlations between self-leadership in nursing units and team members' work role performance. Methods: Participants were 202 conveniently selected general nurses from 5 general hospitals in Korea. The study was carried out on 35 nursing units. Data were collected during February 2015 with self-report questionnaires. Results: For factors affecting individual work role performance, self-expectation, self-goal setting, constructive thought, clinical career in the present nursing unit and marital status accounted for 44.0% of proficiency, while self-expectation, self-goal setting, constructive thought, and marital status accounted for 42.3% of adaptivity. Self-expectation, self-goal setting, constructive thought, self-reward, clinical career in the present nursing unit and position accounted for 26.4% of proactivity. In terms of team members' work role performance, self-reward and self-expectation in nursing units explained 29.0% of team members' proficiency. Self-reward and self-expectation in nursing units explained 31.6% of team members' adaptivity, and self-reward in nursing units explained 16.8% of team members' proactivity. Conclusion: The results confirm that nurses' self-leadership affects not only individual self-leadership but also team members' work role performance. Accordingly, to improve nurses' work role performance in nursing units of nursing organizations, improvement in nursing environment based on self-leadership education is necessary and nurses' tasks rearranged so they can appreciate work-autonomy and challenges of work.
Customers' evaluation of Website with satisfaction is critical in electroniccommerce. Previous research has studied in a distinct approach; especially IT oriented constructs-perceived usefulness, easy of use and marketing oriented constructs-product, shopping experience, service quality. Despite those important previous studies regarding the usage and the purchase of goods and services, how consumers are satisfied and why consumers leave Web sites without purchasing have not been extensively researched. This study explored those determinants of consumer satisfaction with Web site using expectation-disconfirmation theory (EDT). The present paper extends the range of EDT from antecedents of expectation to consequence of satisfaction. The result suggests that experience and familiarity has an impact on expectation as well as perceived performance and satisfaction. Second, higher expectation makes a negative impact on disconfirmation of expectation. Third, positive disconfirmation of expectation makes a positive impact on satisfaction. Forth. satisfaction produces loyalty and repurchasing intention. Finally, loyal customer has stronger intention to repurchase than satisfied customer.
Journal of the Korean Society of Clothing and Textiles
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v.16
no.3
s.43
/
pp.223-232
/
1992
The ultimate purpose of this study is to build a model on clothing satisfaction which extends the consumer satisfaction model by unifying the exportation antecedents. In the literature study, it is proposed to clarify the concepts on the clothing satisfaction, and to investigate the present paradigms of the consumer satisfaction. It is widely accepted by the clothing researchers that the clothing satisfaction is a comparative process in which the evaluation criteria are used to judge the clothing product and to access the disconfirmation. In the Disconfirmation paradigm, the role of the expectation is very important. We propose to classify the expectation into the expective expectation and the normative expectation. The normative expectation applies when the investment cost and effort are considered. The expectation is shown to be affected by the expectation antecedents of the product characteris-tics, the situation characteristics, and the consumer characteristics. We investigate in detail those clothing satisfaction determinants and their measurement methods. Then, we build a clothing satisfaction model by the disconfirmation paradigm which is composed of the expectation antecedents, the expectation (expective expectation, normative expectation), the perceived clothing product performance, and the disconfirmation.
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.
The purpose of this study is to apply the expectancy disconfirmation model to consumer post-purchase behavior toward fast fashion brands. This study incorporated repurchase intention as a result of consumer satisfaction. It was hypothesized that consumer satisfaction, which is influenced by expectation, perceived performance, and disconfirmation, influences repurchase intention. It was also hypothesized that expectation influences performance. This study examined the brands and prices of the most recent purchases of fast fashion and also examined whether the purchases were planned or unplanned. The hypothesized path was tested and the relative influences of instrumental and symbolic performance on satisfaction were identified. Data were collected from questionnaires answered by 344 university students who were selected by convenience sampling. The results were as follows: 1) Purchased brands were, in the order of frequency of purchase, Uniqlo, Zara, H&M, and Forever21, followed by domestic brands, 8seconds, Spao, and Mixxo. The frequency of unplanned purchase was more than twice higher than planned purchase. 2) Based on expectation and performance, dissatisfactory group was larger than satisfactory group, which were 35.8% and 24.7% respectively. 3) It was revealed from the expectancy disconfirmation model analysis that expectation and performance had positive influence, but cognitive dissonance had negative influence on satisfaction. Satisfaction had significant influence on repurchase intention. The path analysis showed that all hypothesized path coefficients were significant. The results suggest some effective marketing strategies for marketers in the fast fashion industry.
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