• Journal of Digital Convergence
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• v.18 no.12
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• pp.205-216
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• 2020

In this study, a research model is constructed based on the theory of technology adoption. Independent constructs are largely grouped into two: (1) virtual bank characteristics (responsiveness, ease of use, economic benefits, and security), and (2) individual characteristics (innovativeness, self-efficacy and Internet experience). On the dependent side, user satisfaction is posited to influence the loyalty via intention to continuous use. PLS analysis of 194 data points collected revealed that economic benefits, security, innovativeness, and Internet experiences are significantly and positively associated with user satisfaction, intention to continuous use and loyalty. Paths among satisfaction and intention towards the loyalty are also validated. Details of results are discussed with practical and academic implications.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.150-158
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• 2022

The purpose of this study is to confirm the effectiveness of the evaluation of long-term care insurance visiting care service institutions for the elderly from the user's point of view. To this end, data from a survey of 266 users collected through allocation sampling by region(14 cities and counties) in Jeollabuk-do and public data from 47 institutions were combined and analyzed using a multi-layered model. The main research results are as follows. First, among the five evaluation areas, the higher the score in the 'Rights·Responsibility' area, which is to give users a sense of rights and respect users, the higher the service quality and satisfaction. Second, among the five evaluation areas, the 'Rights·Responsibility' area had an effect on loyalty. In addition, it was found that the 'Outcome' area for satisfaction with institutions and employees and changes in users had an effect on loyalty. Third, it was found that 'Institutional Management', 'Environment·Safety', 'Process' did not affect service quality, satisfaction, and loyalty. Based on these results, it is proposed to reorganize the evaluation scale that users can recognize and that is faithful to the purpose.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.245-250
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• 2007

Prior research on the user experience assumes that when users acquire good experience through the usage of a certain device or system, the user satisfaction increases, and the user satisfaction can forecast the user loyalty effectively. However, theoretical model based on the user satisfaction does not reflect users' emotional or relationship-based experience factors which are fostered through users' long-term interaction with a device or system. Therefore, this research developed the new theoretical model based on the concept of emotional attachment and integrated the model to the existing user satisfaction model to overcome theoretical and practical limitations of the user satisfaction concept. Also, this integrated model was empirically evaluated to check its validity by surveying users of 4 kinds of electronic products.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• Asia pacific journal of information systems
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• v.13 no.4
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• pp.207-227
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• 2003

The purpose of this research is to identify if psychological temptation, site quality and sense of community influence user's flow and addiction and to identify causalities among flow, addiction, customer satisfaction and customer loyalty in online industry. Many previous researches in the area of online games have been carried out about addiction by psychologist and about the development of related technologies by scientists. There are only a few studies about the customer satisfaction from the online business perspective. However, this research is different from the previous ones in the sense that both flow and addiction are considered in the study of the relationship between customer satisfaction/loyalty and flow/addiction in the area of online industry. The empirical results of high-order factor analysis indicate that six independent variables such as design, information, feedback, impulsiveness and motivation have converge three second-order variables such psychological temptation, site quality and sense of community. Consequently, site quality and sense of community have impacts on the flow, while on the other hand, psychological temptation has impacts on the addiction. Conclusively, customer satisfaction and loyalty are positively related not with the addiction but with the flow. Besides, customer loyalty is significantly influenced by the flow and the customer satisfaction. This indicates that companies in the online game industry have to develop a strategy for the flow which is more socially and ethically allowable than the addiction.

• Journal of Korean Society for Quality Management
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• v.46 no.4
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• pp.923-938
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• 2018

Purpose: O2O service are becoming popular in various industries such as food delivery and taxi. This research explores how users' motivation of O2O service influence customer loyalty through expectation-confirmation and satisfaction. this study attempts to explore the motivation factor (i.e. pricing, enjoyment, immediately, social influence) and to empirically examine the relationships between those and users' loyalty to O2O service. Methods: To test the proposed research model, a survey research methodology was used. Paper survey was distributed to O2O service users in Korea. A total of 198 data were used for the analysis. Structural equation modeling was used to test hypotheses. Results: According to our findings, this study found that satisfaction was positively influenced by users' motivation factors. all hypotheses about the effect of motivation on expectation-confirmation were statistically not significant. Conclusion: O2O service providers should consider the results of this study to satisfy users' expectations and satisfaction for building a better O2O market.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1025-1032
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• 2021

The study investigates factors affecting the loyalty of Food Delivery Application (FDA) service in Thailand. This study employs quantitative research methodology with a non-probability sampling method to draw 510 FDA samples from the FDA users in Thailand. The online questionnaires with a Cronbach's alpha coefficient of 0.886 were used as a research tool to collect data from samples. By using the Structural Equation Modeling (SEM) to analyze data, the results show that trustworthiness, social influence, system design, and task-technology fit affect the user's technology acceptance, which also show the significant relationship with the loyalty of FDA users in Thailand. The study checks the harmony with the statistics; χ2 = 258.686, df. =160, χ2/df. = 1.616, p-value = 0.050, CMIN/DF = 1.616, GFI = 0.960, AGFI = 0.969, TLI = 0.953, CFI = 0.965, RMSEA = 0.047, significant level at 0.05, along with testing the weight factor. In conclusion, the research model was harmonious with the empirical data at the significant level 0.05. The finding of this study suggested that the FDA service provider might apply this research finding to develop a greater understanding of the FDA's customer loyalty, as well as determine marketing strategies, identify opportunities, and create a competitive advantage in the future.

• Korea Trade Review
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• v.45 no.6
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• pp.77-97
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• 2020

This study investigates the effects of O2O-based mobile shopping application (O2O MSA)'s information and service quality on the user's perceived privacy protection, satisfaction and loyalty. In this study, 969 questionnaire reponses were collected, out of which 555 were used to estimate the structural paths using PLS-SEM (partial least square structural equation model) for the hypothesis test. Our empirical findings are drawn from Chinese respondents that live in a 1-line city in China and use O2O MSAs serviced by China's leading companies. This study examines and confirms that qualified information and service of O2O MSA positively affect both perceived privacy protection and customer satisfaction, which finally leads to customer behavioral loyalty through the perceived privacy protection. Further, this study presents effective practical implications for application development strategy suitable for users in the O2O-based mobile shopping industry.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.433-443
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• 2015

This study aims to analyze key antecedents of customer loyalty based on dedication-based and constraint-based mechanisms. Our framework provides a theoretical lens of how two distinctive mechanisms influence customer loyalty in a coffee chain context. In this regard, this study examines the effects of customer satisfaction and switching costs on customer loyalty in a coffee shop market. In order to test the proposed model, data collected from 263 university students were empirically tested by using partial least squares regression. The analysis results reveal that customer loyalty is jointly influenced by both a dedication-based and a constraint-based mechanisms. Coffee quality service quality, price and value, and service atmosphere significantly affect user satisfaction. Habit and brand image were found to be the key factors of forming perceived switching costs.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.315-325
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• 2021

The value and importance of Gamification has intensified as the way Gamification is applied to social networking applications has added to users' interest and involvement to the product. Gamification entails the adoption of gaming techniques and modes of thinking in non-gaming domains to elicit user engagement. To this end, the paper draws on Gamification's analytical model, Octalysis, with the aim of identifying user loyalty of the three major Chinese social networking applications and extracting their characteristics. In this regard, the first task in the advancement of the study is to establish an understanding of the components and characteristics of Gamification within the context of available examples. Next, a questionnaire survey covering China's three dominant social applications, WeChat, QQ, and Xiaohongshu, is administered and their user loyalty is examined through Octalysis's eight analytical frameworks. By virtue of analysis, the results demonstrate that the three elements of game mechanics, Point, Badge, and Leadboard, which are external to the game, fail to sustain the user loyalty, but are merely a means to an end. Only by including a combination of social application features, contents and user needs can Gamification considerations be maximized to ensure that users are subjectively engaged with the product.