• Korean Management Science Review
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• v.19 no.2
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• pp.169-178
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• 2002

The growth of Internet usage even accelerated by the spread of high-speed Internet access network such as ADSI is affecting our socioeconomic activities and culture in a great way. Korea is recently reported to be the number one high-speed Internet network subscription per 100 people in the world. In a way to reflect this situation, we collect a moderate size of sample proportional to the population of each region across country and investigate what factors might explain the level of user's dissatisfaction with respect to Internet service they have been receiving. The results indicate that the set of gender, age, Internet usage, service kinds, incoming e-mails, and e-shopping is significantly influencing user's dissatisfaction, in that dissatisfaction is measured in 11 perspectives. In particular, user's age, gender, and e-shopping experiences are considered to be mostly explainable.

• Journal of Korean Society for Quality Management
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• v.35 no.3
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• pp.100-106
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• 2007

The objective of this paper is to analyze the effect of the defense quality certification system on the military user's dissatisfaction. In this paper, an empirical research is performed to compare the effectiveness of ISO 9000 : 2000 and Korea Defense Quality Certification system 0050-9000. The research result shows that (1) the Defense Quality system is better than ISO 9000 : 2000 to reduce the military user's dissatisfaction level. (2) the Quality Assurance types 4, 5 have more user's dissatisfaction than types 2, 3. (3) small and medium sized companies have more user's dissatisfaction than large companies.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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• pp.142-156
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• 1996

The purposes of this study were to examine the reason, = of clothing discard and to investigate the influences of demographic and clothing variables on the clothing discard behavior Data were collected from 610 women who lived in Seoul and Kwangjoo. By means of factor analysis, 6 general factors of clothing discard reason.; were extracted The 6 factors were named as dissatisfaction with appropriateness, physically worn out, dissatisfaction with clothing quality, fashion change, boredom, inconvinience. Among the five clothing items (suits or one pieces, jackets, jumpers, shirts or blouses, skirts or pants), there existed differences in the reason factors of clothing discard The relationships between clothing discard behavior (reason factors of clothing discard, peviods of clothing utilization) and variables like user's age, degrees of satisfaction with clothing, clothing items were also examined. There existed significant differences among the age groups and the groups classified by clothing satisfaction degrees in the reason factors of clothing discard and in the Periods of clothing utilization. Periods of clothing utilization were also differed by the clothing items. As user's a age grew older, periods of clothing utilization increased and the rates of clothing discard because of dissatisfaction with appropriateness, and dissatisfaction with clothing quality, boredom, inconvinience factors were decreased. As the degrees of satisfaction with clothes increased, the periods of clothing utilization also increased and the rates of clothing discard because of dissatisfaction with appropriateness, and dissatisfaction with clothing quality, inconvinience factors decreased. And the rates of clothing discard because of physically worn out factor increased.

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.359-371
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• 2012

Purpose: Due to the explosive growth and widespread use of smartphones, new business opportunities are emerging. Despite the importance of creating customer value in using smartphone applications, past studies on have mainly focused on functions or factors and specifications that influence users to use the device. Methods: This study is intended to identify how customer dissatisfaction from the use of smartphone application services affects customer sentiment and behavior. The research model is tested via a survey of 290 smartphone application users. Results: The result of this empirical study indicates that customer dissatisfaction significantly affects the user's disappointment and regret in using a service, which are subordinate values of customer emotion. The user's anger is positively associated with 'Negative word of mouth' and 'Complaint', which are subordinate values of customer behavior, but not with an intention to switch to another service. 'Regret' and 'Disappointment' are positively associated with 'Negative word of mouth' and 'Switching intention', but not with 'Making direct complaints'. Finally, customer's negative sentiments are a significant intermediary in the relationship between customer dissatisfaction and behavioral response. Conclusion: Finally, the study offers a more systematic understanding on the phasal response process of customer dissatisfaction in relation to the provision of smartphone application services.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.2_2
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• pp.343-356
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• 2024

Super app is an application that provides a variety of services in a unified interface within a single platform. With the acceleration of digital transformation, super apps are becoming more prevalent. This study aims to suggest service enhancement measures by analyzing the user review data before and after the transition to a super app. To this end, user review data from a payment-based super app(Shinhan Play) were collected and studied via topic modeling. Moreover, a matrix for assessing the importance and usefulness of topics is introduced, which relies on the eigenvector centrality of the inter-topic network obtained through topic modeling and the number of review recommendations. This allowed us to identify and categorize topics with high utility and impact. Prior to the transition, the factors contributing to user satisfaction included 'payment service,' 'additional service,' and 'improvement.' Following the transition, user satisfaction was associated with 'payment service' and 'integrated UX.' Conversely, dissatisfaction factors before the transition encompassed issues related to 'signup/installation,' 'payment error/response,' 'security authentication,' and 'security error.' Following the transition, user dissatisfaction arose from concerns regarding 'update/error response' and 'UX/UI.' The research results are expected to be used as a basis for establishing strategies to strengthen service competitiveness by making super app services more user-oriented.

• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.68-79
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• 2010

This study was fulfilled in the purpose of proposing construction strategies of fashion information industry through the analysis of information user's satisfaction/dissatisfaction on information quality. The research was performed through a depth interview. Data were collected from 18 fashion information users(designers and merchandisers) who were working at fashion apparel industry during October to November 2007. Results from the study showed that there were three dimensions and 18 components of satisfaction/dissatisfaction on fashion information quality: Information quality(understandability, value-added, level of detail, relevance, diversity, objectivity, completeness, accuracy, quantitativeness), Service quality(responsiveness, accessibility, cost efficiency, empathy, reliability), System quality(currency, ease of use, format, timeliness). And the information users were perceiving that there were some changes in notion of preferring information, searching for information and usage of information.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.99-108
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• 2013

This research attempts to identify N-screen users' motivational and dissatisfying factors in relation to their willingness for continued future use of the service. An on-line survey was conducted (N=558) to reveal five major factors for N-screen use: Medium usability (interface usability and daily usefulness), Socialness (potential for social use with family and friends), Mobility (use without restraints of time and space), Contents (diversity of contents catalogue and related information search), and Habitual use. With exception of Contents factor, four of those factors were proven to be meaningful predictors of the users' willingness for continued future use of N-screen service. Meanwhile, two factors were extracted as the major source for N-screen users' dissatisfaction: Customer service (dissatisfaction associated with the service itself) and Contents (dissatisfaction relating to contents use). The effect of those two dissatisfaction factors was examined. The results show that Contents dissatisfaction, in comparison with Customer service dissatisfaction, was a more powerful predictor for discontinuing of N-screen service use.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.8
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• pp.527-534
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• 2013

The software is changed according to the changing businesses and the user requirement, it involves increasing complexity and cost. Considering the repetitive changes required for the software, replacement is more efficient than maintenance at some point. In this study, the replacement time was predicted using the service dissatisfaction index and replacement point assessment index by the software group for each task. First, fuzzy inference was used to develop the method and indicator for the user's service level dissatisfaction. Second, the replacement point assessment method was established considering the quality, costs, and new technology of the software. Third, a replacement time prediction technique that used the gap between the user service measurement and replacement point assessment values was proposed. The results of the case study with the business solutions of three organizations, which was conducted to verify the validity of the proposed prediction technique in this study, showed that the service dissatisfaction index decreased by approximately 16% and the replacement point assessment index increased by approximately 9%.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.400-410
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• 2008

As the number of blog users has been increasing significantly, a lot of studies have been carried out to find out what makes people use a blog or feel satisfied with it. However, most of the previous studies assumed that dissatisfaction is the opposite of satisfaction and a person who is dissatisfied with a blog does not use it, failing to explain about blog users who do not feel satisfied with their blogs but use them continually. In addition, the studies found out just blog users' motives and satisfying factors in using blogs, and did not suggest any way to improve and promote blog services. Against this backdrop, this study conducted a survey of blog users in order to examine how the satisfying factors of a blog selected through a prior study affect both satisfaction and dissatisfaction of a user. The survey results showed that the satisfying factors are divided into two groups: group A which affect satisfaction and dissatisfaction equally, and group B which affect them differently. Based on the results, this study subdivides group A into high involvement factors and low involvement ones, and group B into motivators, which strongly affect satisfaction, and hygiene factors, which strongly affect dissatisfaction. According to characteristics of each group, this study suggests ways to improve and promote blog services.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.355-360
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• 2021

In this study, the factors of confirmation bias that may occur in the initial user experience stage were analyzed using a honeycomb model by deriving user experience factors for each factor. In the initial user experience stage, confirmation bias occurs in the impression stage. At the processing stage of memory, sensory memory, working memory, and long-term memory, which stores and retrieves selective memory, were closely related. Confirmation bias was classified into visibility, correlation, memory, clarity, and universality in the usability part, and satisfaction, joy, and dissatisfaction were derived as emotional factors. As a result of the analysis with the honeycomb model, visuality, clarity, universality in the usability factor, and joy in the emotional factor had little effect on the confirmation bias, and satisfaction and dissatisfaction were analyzed as the main factors of the confirmation bias in the correlation, memory and emotional factors. This study is meaningful in that it can be usefully used as a reference material for companies that customize design patterns for the factor of confirmation bias.