• Journal of Digital Convergence
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• v.18 no.2
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• pp.439-445
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• 2020

This is a user experience study of factors that should be considered in designing home appliances experience service. Untact services are emerging, but the development of home appliances sector is in early stage. Based on the six factors of Stephen P. Anderson's Creating Pleasurable Interface Model, this study conducted surveys, 1:1 in-depth interviews, and participation observations to measure and analyze user experience. In this study, I compared 4060s and 2030s's user experience in that the untact services raise the digital alienation among middle-senior-aged. As a result, there were significant differences between the two, including the opposite satisfaction in terms of reliable, usable and pleasurable factors. I hope that this study will be of strategic help in designing future home appliance experience services.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.453-460
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• 2016

This study aimed to compare the systems of ticketing application programs of three major movie theaters, CGV, Megabox, Lotte Cinema, with each other and evaluate the usability, and find problems to figure out user experiences for more convenient mobile ticketing. Experimental subjects with experiences of using apps of the movie theaters were recruited; First, as a primary task, they reserved movie tickets with each of the movie theater apps; Second, they had in-depth interviews with questions based on the model of Creating Pleasurable Interfaces by Stephen Anderson. As a result, users preferred the composition with information in order in overall, in which ticketing process went smoothly. In particular, users were more satisfied with convenient payment applications. Therefore, as an improving way, it is required to design an interface for users to recognize at a glance and a payment system within an app, not to design separate payment system out of the app. I hope this study will help actively conduct researches to maximize the usability in a way to reserve movie tickets through smartphone apps.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.287-293
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• 2020

This study is about comparing and analyzing the representative fintech application service, Toss, and Kakaobank from the user's point of view and suggest development according to the main factors of user experience. The experimental group who have used both mobile application was recruited to do a task about deposit and withdrawal service. After the task, an in-depth interview was conducted by reorganizing the "Creating Pleasurable Interface model" by Stephen P. Anderson. Interview questionnaire is based on propensity and feature of generation 2030. As a result of the experiment, the user showed satisfaction with usability and showed different application usage experience depend on financial transaction propensity and money management. Therefore, the application needs features that could grasp the propensity and also service to manage money in everyday life. Based on this study, it is expected to develop be user-based fintech application service in related fields.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.397-402
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• 2021

The purpose of this study is to measure the satisfaction level of user experience of athlesure brand community by generation through surveys, and to derive satisfaction level according to consumption taste by generation. As a tool for measuring brand community, a questionnaire written Creating Pleasurable Interfaces Model of Stephen P. Anderson was used and was conducted focusing on women in their 10s-40s, which are the main consumers. As a result of the survey, the community participation rate and satisfaction level are significantly different depending on the consumption tendency of each generation. In addition, focused on task satisfaction was high, but focused on experience satisfaction was relatively low. It was found that there is a need for a plan to improve satisfaction based on experience for revitalization of online and offline communities in the future. Through this study, we expect the use of consumer-centered brand communities and brand communities according to the satisfaction level of consumption demand by generation and consumption preference by demand.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.283-287
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• 2021

The purpose of this study is to analyze personalized contents and previews of OTT service based on user experience and to suggest the improvements of the preview viewing experience. Current domestic OTT mobile applications were researched to find out how services are offering content. Plus, the 20s-30s were recruited to analyze user experience. An online survey and in-depth interview were conducted by using Stephen P. Anderson's Creating Pleasurable Interface Model. As a result, preview help users to select content but it doesn't suit their taste. Also, the preview is hard to watch however they want. Therefore, it can be inferred that the preview requires the function for improving efficiency, preference, and accessibility. This study is expected to be used as research material on user experience or preview experience of OTT content.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.279-291
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• 2018

This study is designed to demonstrate risk factors of unmet medical care for people with cerebrovascular disease. To do this, statistical analysis was performed by using hierarchical logistic regression analysis with SPSS/WIN24.0 program using Korean Medical Panel data in 2014. In the final model of the hierarchical logistic regression analysis, which is based on Anderson's Model, adjusted for the factors of the predisposing and enabling factors, the explanatory variables affecting the unmet medical development are gender, economic activity, income level, the experience of lying in a sickbed, restriction on activity, subjective health condition, and the number of chronic diseases. Based on the results of this study, the practical and policy implications for the effective management and treatment of cerebrovascular disease should be included in the countermeasures for cerebrovascular disease, a strategy to reduce the unmet medical incidence of cerebrovascular disease, in order to meet the medical needs, the necessity of comprehensive measures considering various dimensions of variables and the influential variables of unmet medical emergence have been suggested for the necessity of making a detailed service manual that can improve accessibility to medical services.

• Journal of Korean Society for Quality Management
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• v.31 no.4
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• pp.194-202
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• 2003

In this paper, we propose goodness of fit test statistics for exponentiality in accelerated life tests data based on Kullback­Leibler information functions. This acceleration model is assumed to be a tampered random variable model. The procedure is applicable when the exponential parameter using the data from accelerated life tests is or is not specified under null hypothesis. And we compare the power of the proposed test statistics with Kolmogorov­Smirnov, Cramer von Mises and Anderson­Darling statistics in the small sample.

• Korean Journal of Social Welfare
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• v.62 no.3
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• pp.83-108
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• 2010

This study aims to estimate the trajectory of outpatient medical service use and examine what factors are associated with the trajectory among older adults 60 and over with specific focuses on age variations. Using the first three waves of the Korean Welfare Panel Study data, the trajectory and predictors were examined through the Latent Growth Curve Modeling and age variations were examined through the Multi-group Comparison Analyses. The research model was developed based on the Anderson Model. The results showed that study participants tend to increase outpatient medical service use with years. Individuals 75 or younger presented a much faster increasing rate of medical service use than those 75 and over. Similar to the findings of the previous studies, most predisposing factors, resource factors, and needs factors were found to be associated with the trajectory of outpatient medical service use. Needs factors were more closely associated with the medical service use trajectory than resource factors. With regard to age variations in predictors, few significant age variations were found. Based on the finding of the study, implications and future research directions were discussed.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.342-353
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• 2013

Objectives: It attempted to analyze influencing factors on the utilization of outpatient services which were adopted to predisposing, enabling, and need factors in Anderson model. Methods: The current study analyzed "2007 Korean National Health Nutrition Survey" data, which selected 3,335 people nationwide by proportional systematic sampling. This study analyzed data of persons who used outpatient services in two weeks. It adopted Anderson Model to control contextual factors including socioeconomic factors. The study compared means and fitted logistic regression models and multilevel model. Results: The logistic regression model showed that persons purchased private medical insurance were less likely to use outpatient services than the persons did not purchase private medical insurance. Persons with hypertension and diabetes mellitus, overweight, and problem drinkers were more likely to use outpatient services. Persons with high school graduates or higher in education level and experience of accidents or intoxications were more likely to use outpatient services according to the multilevel analysis of mixed model which treated region as random effect. Conclusion: Higher level of perceived stress increased the probability to use outpatient service than lower level of perceived stress. As number of days a person had exercised increased, the probability to use outpatient service decreased. Overweight and problem alcohol drinking increased the probability of outpatient service use. Further research should be conducted to find more factors influencing outpatient service use.

• Asia Marketing Journal
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• v.14 no.1
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• pp.1-24
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• 2012

Nowadays, customer satisfaction has been one of company's major objectives, and the index to measure and communicate customer satisfaction has been generally accepted among business practices. The major issues of CSI(customer satisfaction index) are three questions, as follows: (a)what level of customer satisfaction is tolerable, (b)whether customer satisfaction and company performance has positive causality, and (c)what to do to improve customer satisfaction. Among these, the second issue is recently attracting academic research in several perspectives. On this study, the second issue will be addressed. Many researchers including Anderson have regarded customer satisfaction as core competencies, such as brand equity, customer equity. They want to verify following causality "customer satisfaction → market performance(market share, sales growth rate) → financial performance(operating margin, profitability) → corporate value performance(stock price, credit ratings)" based on the process model of marketing performance. On the other hand, Insoo Jeon and Aeju Jeong(2009) verified sequential causality based on the process model by the domestic data. According to the rejection of several hypotheses, they suggested the balance model of marketing performance as an alternative. The objective of this study, based on the existing process model, is to examine the causal relationship between customer satisfaction and corporate value performance. Anderson and Mansi(2009) proved the relationship between ACSI(American Customer Satisfaction Index) and credit ratings using 2,574 samples from 1994 to 2004 on the assumption that credit rating could be an indicator of a corporate value performance. The similar study(Sangwoon Yoon, 2010) was processed in Korean data, but it didn't confirm the relationship between KCSI(Korean CSI) and credit ratings, unlike the results of Anderson and Mansi(2009). The summary of these studies is in the Table 1. Two studies analyzing the relationship between customer satisfaction and credit ratings weren't consistent results. So, in this study we are to test the conflicting results of the relationship between customer satisfaction and credit ratings based on the research model considering Korean credit ratings. To prove the hypothesis, we suggest the research model as follows. Two important features of this model are the inclusion of important variables in the existing Korean credit rating system and government support. To control their influences on credit ratings, we included three important variables of Korean credit rating system and government support, in case of financial institutions including banks. ROA, ER, TA, these three variables are chosen among various kinds of financial indicators since they are the most frequent variables in many previous studies. The results of the research model are relatively favorable : R², F-value and p-value is .631, 233.15 and .000 respectively. Thus, the explanatory power of the research model as a whole is good and the model is statistically significant. The research model has good explanatory power, the regression coefficients of the KCSI is .096 as positive(+) and t-value and p-value is 2.220 and .0135 respectively. As a results, we can say the hypothesis is supported. Meanwhile, all other explanatory variables including ROA, ER, log(TA), GS_DV are identified as significant and each variables has a positive(+) relationship with CRS. In particular, the t-value of log(TA) is 23.557 and log(TA) as an explanatory variables of the corporate credit ratings shows very high level of statistical significance. Considering interrelationship between financial indicators such as ROA, ER which include total asset in their formula, we can expect multicollinearity problem. But indicators like VIF and tolerance limits that shows whether multicollinearity exists or not, say that there is no statistically significant multicollinearity in all the explanatory variables. KCSI, the main subject of this study, is a statistically significant level even though the standardized regression coefficients and t-value of KCSI is .055 and 2.220 respectively and a relatively low level among explanatory variables. Considering that we chose other explanatory variables based on the level of explanatory power out of many indicators in the previous studies, KCSI is validated as one of the most significant explanatory variables for credit rating score. And this result can provide new insights on the determinants of credit ratings. However, KCSI has relatively lower impact than main financial indicators like log(TA), ER. Therefore, KCSI is one of the determinants of credit ratings, but don't have an exceedingly significant influence. In addition, this study found that customer satisfaction had more meaningful impact on corporations of small asset size than those of big asset size, and on service companies than manufacturers. The findings of this study is consistent with Anderson and Mansi(2009), but different from Sangwoon Yoon(2010). Although research model of this study is a bit different from Anderson and Mansi(2009), we can conclude that customer satisfaction has a significant influence on company's credit ratings either Korea or the United State. In addition, this paper found that customer satisfaction had more meaningful impact on corporations of small asset size than those of big asset size and on service companies than manufacturers. Until now there are a few of researches about the relationship between customer satisfaction and various business performance, some of which were supported, some weren't. The contribution of this study is that credit rating is applied as a corporate value performance in addition to stock price. It is somewhat important, because credit ratings determine the cost of debt. But so far it doesn't get attention of marketing researches. Based on this study, we can say that customer satisfaction is partially related to all indicators of corporate business performances. Practical meanings for customer satisfaction department are that it needs to actively invest in the customer satisfaction, because active investment also contributes to higher credit ratings and other business performances. A suggestion for credit evaluators is that they need to design new credit rating model which reflect qualitative customer satisfaction as well as existing variables like ROA, ER, TA.