• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.4
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• pp.743-759
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• 2023

Collaboration between AI and fashion designers is becoming essential. Thus, this study explored (1) 321 consumer responses to fashion designers, comparing their capabilities and product quality across different designer types, (2) the relationship between designer capabilities and perceived product quality, and (3) the moderating role of AI knowledge in the effect of capabilities on perceived product quality. Data were analyzed using EFA, ANOVA, regression, and moderation analysis. The results indicated that subjects perceived human designers as having higher capabilities and perceived product quality than AI designers. All subjects' perceived creativity and empathy significantly impacted the perceived functionality, aesthetics, and symbolism-sociality of clothing. Additionally, the perceived creativity of AI and human+AI designers, and the perceived empathy of human and human+AI designers, significantly influenced the perceived functionality and symbolism-sociality, but the perceived creativity of human designers and empathy of AI designers did not directly impact perceived functionality and symbolism-sociality. Moreover, perceptions of the designers' capabilities significantly aesthetics in all subjects. Furthermore, low levels of perceived consumer AI knowledge enhanced the positive impact of perceived human+AI designers' creativity and empathy on perceived functionality and aesthetics. The study suggests that fashion companies should refrain from revealing AI designers at this time.

• Research in Community and Public Health Nursing
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• v.8 no.1
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• pp.74-88
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• 1997

The purpose of this study was to identify the relationship between perceived social support and the quality of life of cancer patients receiving gene therapy. The subjects for this study were 50 cancer patients receiving gene therapy at two general hospital in Seoul. The data were collected during the period from October 14, 1996 to November 11, 1996. The perceived social support was measured by the family support scale made by Hyun Sook Kang, by the medical support of life scale developed by Ok Soo Kim. The quality of life scale developed by Bang-Whal-Ran was used, among the questionnaire, physical factors was developed by U.S.A National Conference on Cancer Nursing. The data was analysed by the SAS statistical program. Percentile, means and standard deviations, t -test, ANOVA, Scheffe test, Pearson correlation were utilized for analysis. The results of this study were as follows. 1. The mean score of the perceived social support of the subjects was 83.66, the item score was 3.8. 1) The mean score of the perceived family support of the subjects was 44.96, the item mean score was 4.5. 2) The mean score of the perceived professional medical support of the subjects was 38.70, the item mean score was 3.2. 2. The mean score of quality of life of the subjects was 120.38, the item mean score was 3.17. For each factor in quality of life scale, the mean score was follows: for attitude toward life, 3.95, for familial relationship and financial status, 3.53, for social activity 3.24, for emotional status, 3.08, for healthy perceptive, 2.90, for physical symptom, 2.80. 3. The result of the analysis of the relationship between perceived social support and quality of life showed a positive correlation(r=.4853, p=.0004). Therefore, the higher the perceived social support of the patients, the higher the quality of life. 1) The result of the analysis of the relationship between perceived family support and quality of life showed significant correlation(r=. 3566, p=.0110). Therefore the higher the perceived family support of the patients, the higher the quality of life. 2) The result of the analysis of the relationship between perceived professional medical support and quality of life showed significant correlation (r=.4477, p=.0011). Therefore, the higher the perceived professional medical support of the patients the higher the quality of life. 4. There was a significant difference in perceived social support according to sex(F=2.1437, p= .0371), others coping non-family (F=2.4863, p=.0164) and duration of treatment (F=4.16, p=.0218). 5. There was a significant differance in quality of life according to sex(F=2.6932, p=.0097), degree of education(F=2.3610, p=.0223), others coping non-family(F=2.0502, p=.0458). In conclusion, this study revealed that social support is an important factor that associated with the quality of life in cancer patients receiving gene therapy.

• Korean Journal of Human Ecology
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• v.16 no.2
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• pp.349-365
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• 2007

The purpose of this study was to explore the Korean housewives' consumption experiences and perceived quality of life. Perceived quality of life was composed of four dimensions: motivation, affect, efficiency, and activation. The study results are: 1. Housewives spare their time for physiologic activities(22.9%), household activities(20.1), and personal activities(10.1%) in sequence. 2. Although the motivation that housewives do shopping activities is coming from a sense of duty, the perceived quality of life during shopping is showing far more positive affect than the perceived quality of life during other activities. In this context, shopping activities are interesting in that they are thought of a kind of entertainment as well as work. 3. With an analysis of covariance, housewives' perceived quality of life has an effect on everyday life in that 4 perceived qualities of life such as motivation, affect, efficiency and activation has a significant effect on flow and it has a significant effect on satisfaction.

• Journal of Korean Society for Quality Management
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• v.48 no.1
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• pp.125-147
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• 2020

Purpose: This study would measure the users'perceived overall quality level of A automobile Company, which has leading market power in the domestic automobile market and analyze the causal relationships in the quality value process Model to quality capability, customer value and loyalty based on that. Especially, this study would analyze the relative impacts of the users'perceived risks appearing in the quality value process model of the formation of Quality Factors(QF), Customer Value(CV), and Customer Loyalty(CL) and analyze the moderating effect of the causal relationships among the components. Methods: For an analysis of causal relationships connected to QF, CV, and CL of the customers who purchased Auto manufacturer A's automobile users, 179 users who used within 3 years were utilized as samples for the analysis. As for QF, based on the Garvin(1988), the QF of automobiles were redesigned. For a structural equation analysis of the entire research model, the PLS(S(Partial Least Square) model was utilized. Results: As a result of an analysis, R2 of CV and CL was 0.652 for CV and 0.664 for CL, which was a very stable Goodness of fit. As a result of an analysis of the hypotheses of QF and CV, automobile performance, conformance, aesthetics, serviceability, and durability. In addition, it turned out that the perceived risk had a moderating effect on convenience, service availability, and perceived quality. Conclusion: This study found that the perceived quality risk appearing among automobile users had negative effects on the quality value process model to QF, CV and CL. In contrast, there were factors not affecting the users'quality value process in spite of the perceived risk. These factors can suggest important managerial implications in that they can be utilized as Auto manufacturer A's market-dominant strengths.

• Journal of Distribution Science
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• v.18 no.1
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• pp.59-69
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• 2020

Purpose: This study aims to examine such relationships as the experiential value that customers respond to with regard to maintenance service by empirically revealing how the quality of auto maintenance and repair service affects both customer satisfaction and intention to reuse the same service through the Perceived-experiential Value of customers. Research design, data and methodology: The research model was designed with service qualities such as human quality, material quality, interaction quality, and system quality as independent variables, perceived-experiential value as a parameter, and service satisfaction and return visit intention as dependent variables. Through a questionnaire composed of 24 items, a total of 319 survey data from customers with the experience of using car maintenance service centers in Korea were collected and analyzed using a structural equation. Results: The material quality did not affect the customers' perceived-experiential value, whereas the interaction quality had the greatest influence. It is confirmed that human quality, interaction quality, and system quality can generate customer satisfaction and repurchase intention through the perceived-experiential value. Conclusions: The experiential value of customers can play an important medium role in improving satisfaction, with customers considering interaction quality important. Therefore, the auto maintenance and repair service should consider relationship-focused service strategies.

• Journal of Distribution Science
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• v.12 no.5
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• pp.5-13
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• 2014

Purpose - We seek feasible strategies to draw customers into a state of attitudinal/behavioral loyalty through perceived quality and perceived risk in the experienced food industry. Research design, data, and methodology - We utilize the LISREL model to examine the cause and effect relationships between customer loyalty, perceived quality, perceived risk, and three marketing proposals (brand image, store image, and promotion). We employed the quota sampling method to conduct the survey questionnaires, collecting365 effective customer samples in coffee shops/stores in Taipei City. Results - We find that store image substantially benefits consumer loyalty through perceived quality. Marketing managers can enhance store environment and atmosphere to elicit both attitudinal and behavioral aspects of customer-perceived quality and loyalty. Conclusions - This is the first paper to investigate simultaneously customer loyalty across brand image, store image, and promotion/marketing proposals in the food industry. Managers can promote brand image and store image at the same time to enhance customer-perceived quality.

• The Journal of Industrial Distribution & Business
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• v.10 no.4
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• pp.67-76
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• 2019

Purpose - This study attempted to construct and validate a structural model of the relationship between the quality of medical services, perceived risk, reputation and customer satisfaction, which is the main concept of the relationship between large hospitals as well as small and medium hospitals and medical consumers. Through this verification, the small and medium hospitals are to find the way for wise coping in competitive situation with large hospitals. Research design, data, and methodology - This research developed a hypothesis by constructing a structural equation that reaches the satisfaction and the relationship between reputation of perceived risk and perceived risk of service quality perceptions of customers of small and medium hospitals. Research data were collected through a questionnaire survey of respondents who had medical service experience from small and medium hospital. A total data of 252 respondents were used as the sample for the final analysis and analyzed using SPSS 23.0 and AMOS 23. Results - As a result, the relationship of quality of medical service, reputation, and customer satisfaction among small and medium hospitals was consistent with the results of precedent studies, and the perceived risk has a significant impact on reputation, so the greater the perceived risk, the higher the preference for reputable medical institutions as large hospitals. In addition, it was found that the direct route from perceived risk to customer satisfaction was not significant, and reputation was found to have a full mediating effect on perceived risk and customer satisfaction. Customers who use small and medium hospitals prefer to use reputable medical institutions if their perceived risk is high, which is different from risk perception when specific targets are specified. Conclusions - In terms of the effect from customer satisfaction, not only the path of perceived risk → reputation → customer satisfaction, but also the quality of service quality → reputation → customer satisfaction. These findings suggest that small and medium hospitals are appropriately responding to competition with large hospitals, rather than focusing on the perceived risks and reputation of customers in establishing and utilizing competitive strategies to create new customers and preserve existing customers.

• Journal of Distribution Research
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• v.15 no.2
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• pp.1-34
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• 2010

Introduction As consumers' purchase behavior change into a rational and practical direction, the discount store industry came to have keen competition along with rapid external growth. Therefore as a solution, distribution businesses are concentrating on developing PB(Private Brand) which can realize differentiation and profitability at the same time. And as improvement in customer loyalty beyond customer satisfaction is effective in surviving in an environment with keen competition, PB is being used as a strategic tool to improve customer loyalty. To improve loyalty among PB users, it is necessary to develop PB by examining properties of a customer group, first of all, quality level perceived by consumers should be met to obtain customer satisfaction and customer trust and consequently induce customer loyalty. To provide results of systematic analysis on relations between antecedents influenced perceived quality and variables affecting customer loyalty, this study proposed a research model based on causal relations verified in prior researches and set 16 hypotheses about relations among 9 theoretical variables. Data was collected from 400 adult customers residing in Seoul and the Metropolitan area and using large scale discount stores, among them, 375 copies were analyzed using SPSS 15.0 and Amos 7.0. The findings of the present study followed as; We ascertained that the higher company reputation, brand reputation, product experience and brand familiarity, the higher perceived quality. The study also examined the higher perceived quality, the higher customer satisfaction, customer trust and customer loyalty. The findings showed that the higher customer satisfaction and customer trust, the higher customer loyalty. As for moderating effects between PB and NB in terms of influences of perceived quality factors on perceived quality, we can ascertain that PB was higher than NB in the influences of company reputation on perceived quality while NB was higher than PB in the influences of brand reputation and brand familiarity on perceived quality. These results of empirical analysis will be useful for those concerned to do marketing activities based on a clearer understanding of antecedents and consecutive factors influenced perceived quality. At last, discussions about academical and managerial implications in these results, we suggested the limitations of this study and the future research directions. Research Model and Hypotheses Test After analyzing if antecedent variables having influence on perceived quality shows any difference between PB and NB in terms of their influences on them, the relation between variables that have influence on customer loyalty was determined as Figure 1. We established 16 hypotheses to test and hypotheses are as follows; H1-1: Perceived price has a positive effect on perceived quality. H1-2: It is expected that PB and NB would have different influence in terms of perceived price on perceived quality. H2-1: Company reputation has a positive effect on perceived quality. H2-2: It is expected that PB and NB would have different influence in terms of company reputation on perceived quality. H3-1: Brand reputation has a positive effect on perceived quality. H3-2: It is expected that PB and NB would have different influence in terms of brand reputation on perceived quality. H4-1: Product experience has a positive effect on perceived quality. H4-2: It is expected that PB and NB would have different influence in terms of product experience on perceived quality. H5-1: Brand familiarity has a positive effect on perceived quality. H5-2: It is expected that PB and NB would have different influence in terms of brand familiarity on perceived quality. H6: Perceived quality has a positive effect on customer satisfaction. H7: Perceived quality has a positive effect on customer trust. H8: Perceived quality has a positive effect on customer loyalty. H9: Customer satisfaction has a positive effect on customer trust. H10: Customer satisfaction has a positive effect on customer loyalty. H11: Customer trust has a positive effect on customer loyalty. Results from analyzing main effects of research model is shown as