• The Journal of Information Systems
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• v.32 no.1
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• pp.1-21
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• 2023

Purpose The purpose of this study is to investigate the intention of early application users in consideration of the characteristics of digital finance-based MyData service users. It is expected that user characteristics will affect the intention to use MyData service, which has not yet been advanced, and accordingly, it will examine how the characteristics of the initial users of MyData service and the intention to use it are connected. Design/methodology/approach The model used in this study is a value-based adoption model (VAM), and a lot of research has been conducted on information technology and online user acceptance and continuous use intention of online users. VAM has been proven useful through empirical analysis in many studies. The value-based acceptance model is a method of analyzing the intention to use Benefits and Sacrifices as the main elements of perceived value. It can be said to be a model that can analyze the benefits of use and the sacrifices to be made. Findings According to the analysis results of this study, it was found that usefulness, enjoyment, and reliability, which are the benefits of MyData service apps, had a positive effect on perceived value, which is partially consistent with existing research results. However, it was found that complexity, which is the sacrifice of MyData service apps, negatively affects perceived value and security has no negative impact. The results of security are considered to be complementary to financial institutions because MyData service deals with financial data based on personal information, and the research hypothesis is rejected because users' demands are relatively low. Therefore, MyData service apps should do more to increase benefits (usefulness, enjoyment, and reliability) than to reduce sacrifice (complexity) to users.

• Journal of the Korea Safety Management & Science
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• v.26 no.1
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• pp.1-8
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• 2024

This study explores the impact of technostress on the intention to use telemedicine applications (apps) in the post-COVID19 era, a period marked by the rapid popularization of such apps to mitigate COVID19 infection risks. Utilizing the Technology Acceptance Model (TAM), the study identifies variables and proposes a research model. A questionnaire survey involving 364 adults is analyzed through Partial Least Squares-Structural Equation Modeling. Results indicate positive significance for variables linked to the TAM (perceived usefulness, perceived ease of use, attitude, and intention to use). Notably, techno-complexity negatively affects perceived ease of use, while techno-unreliability negatively impacts perceived usefulness and ease of use. Surprisingly, techno-uncertainty has a positive effect on both perceived usefulness and ease of use. Techno-overload, although negatively impacting perceived usefulness and ease of use, does not reach statistical significance. The study underscores the need to consider both positive and negative aspects, including technostress, when evaluating telemedicine app usage. Additionally, recognizing the varying impact of technostress based on users' ICT(Information and Communication Technology) confidence levels is crucial. Overall, these findings contribute academically to telemedicine app adoption literature and hold industrial significance by providing a user perspective on these apps.

• Journal of Music and Human Behavior
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• v.12 no.1
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• pp.23-42
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• 2015

This study investigated the harmonic preference of children and adolescents depending on age and musical training. A total of 684 primary and secondary school students participated in this study. For this study, a four-measure melody was composed and constructed in four levels of harmonic complexity, determined by the rate of nonharmonic notes used and immediacy of harmonic resolution. Participants rated the degree of their perceived complexity and their preferences after listening to each musical stimulus. Ratings from the participants were analyzed in terms of the effect of age and the length of musical training. The results showed that younger students demonstrated little to no change in their preference regardless of the complexity level. Middle and high school students showed significantly decreased preference with increased harmonic complexity. High school students with more musical instrument training perceived changes in harmonic complexity more sensitively and showd higher level of optimal complexity. Younger students was affected by musical training relatively less than older students. This study presents the baseline data to be considered when determining the appropriate level of harmonic complexity for music appreciation of young population.

• The Research Journal of the Costume Culture
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• v.13 no.6 s.59
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• pp.999-1010
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• 2005

The purposes of this study were to investigate used patterns in Hanbok and to find out a classification and a characteristic of motifs. The data made use of 111 pictures constituted Gegory(a Korean jacket) and Chima(a skirt) in photographs collected in wedding magazine(Wedding 21'). The data was analyzed by frequency, contents analysis. Pattern's use or not in Hanbok and a sort, a arrangement, a way of expression of patterns using frequency Classified and characteristics of motifs were analyzed contents analysis. The results of this study were as follows. First, a sort of patterns was lots of flower motifs of the plant pattern. An arrangement of and expression of patterns used mainly a partial arrangement and embroidery expression. Second, the subjects classified using criterion of classification of a external feature, forms of expression, and simplicity/complexity of line. Third, the motifs classified into plants, an animal, geometry, abstraction, and a natural object. The plant motifs were perceived the focus of flower, a combination of a flower and a stem in the plant motifs. The subjects perceived as a simplicity/complexity of flower and a drawing line of a flower and a stem.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.5
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• pp.86-97
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• 2007

For continuous growth and diffusion of internet banking, it is important to investigate user resistance factors to internet banking. This study investigates the effects of individual characteristics, characteristics of internet banking and service quality factors on user resistance to internet banking. Individual characteristics include self-efficacy of computer, self-efficacy of internet banking, attitude to change, and innovative attitude. Characteristics of internet banking include relative advantage, compatibility, complexity, and perceived risk. Service quality was classified as 5 dimensions of SERVQUAL. The results of this study showed that self-efficacy of computer, self-efficacy of internet banking, compatibility, responsiveness, complexity, perceived risk, reliability and empathy had a significant effect on user resistance to internet banking.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.587-594
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• 2023

The purpose of this study is to examine the factors influencing the intention to use the Metaverse from various angles based on the Extended Technology Acceptance Model and Value-based Adoption Model. Specifically, we examined whether there is a difference in perception of the Metaverse and in factors affecting the intention to use the Metaverse between the Metaverse experienced and non-experienced. For this purpose, the variables were classified into the technical characteristics of the Metaverse (interactivity, content quality), perceived benefits (perceived usefulness, perceived enjoyment), and perceived sacrifices (perceived risk, perceived complexity) and a survey was conducted with university students. The findings of this study indicate that the perceived interactivity, usefulness, and enjoyment of the Metaverse had a major impact on the intention to use the Metaverse for those without Metaverse experience, whereas enjoyment of the Metaverse had the greatest impact on the intention to use the Metaverse for those with Metaverse experience. Based on the study results, we provided marketing strategy implications for continuous growth and development of the Metaverse industry.

• The Journal of Bigdata
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• v.9 no.1
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• pp.169-186
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• 2024

This study aims to analyze the acceptance factors for expanding the adoption of AI by SMEs and draw practical and policy implications. To this, we conducted an empirical analysis of AI acceptance factors among 315 SMEs in various industries such as manufacturing, service, and information and communication sectors located in Korea. Based on the UTAUT, we examined the influence of decision-making reliability, perceived awareness, policy support, education and training, perceived cost, perceived risk, and system complexity, and found that decision-making reliability positively affects performance expectancy and social influence, perceived awareness positively affects performance expectancy and effort expectancy, policy support positively affects social influence and facilitating conditions, and education and training positively affects effort expectancy and facilitating conditions. Perceived cost had a negative effect on social influence and facilitating conditions, and perceived risk had a negative effect on performance expectancy and social influence. System complexity had a negative effect on effort expectancy but no effect on facilitating conditions. These results are expected to be widely utilized as basic research for the diffusion of AI in industry and provide practical and policy implications for promoting the adoption of AI in SMEs.

• The Journal of Society for e-Business Studies
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• v.11 no.2
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• pp.111-134
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• 2006

This paper analyzes the resistance to mobile commerce services in consumer adoption process. Relative advantage, compatibility, perceived risk, complexity, self-efficacy, innovativeness and attitude for competing service have been chosen as independent variables. This paper also investigates on the significant factors which resist against adoption of mobile commerce service according to adoption phase. The results show that relative advantage, self-efficacy, perceived risk, attitude for competing service are significant factors to affect resistance to mobile commerce services. Relative advantage, perceived risk, attitude for competing service are significant resistance to mobile commerce services for consumers in before-adoption group and compatibility, complexity, self-efficacy are significant factors for consumers in after-adoption group. This study can be extended to new communication services such as Wibro and DMB to reduce resistances in early adoption phase.

• Science of Emotion and Sensibility
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• v.10 no.4
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• pp.555-569
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• 2007

Ubiquitous computing environment is the new surroundings, currently being realized by modern technology. Since previous usability tests are not suitable for this new technological environment, new research on psychological factors needs to be conducted. The evaluation of service scenarios also will be required in tandem with traditional usability tests of operation devices. Consequently, this study classified usability factors from a scenario perspective and was conducted with a focus on the psychological elements of controllability from a mechanical perspective. Study 1 reclassified the factors of existing usability tests according to similarity and application scenarios, and ten important groups of factors were newly created. Study 2 focused specifically on the design side of a device and showed that the degree of familiarity with the ubiquitous computing device and its complexity brought about a difference in perceived controllability of the device.

• The Journal of Information Systems
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• v.22 no.1
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• pp.117-143
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• 2013

Social media have been rapidly and widely adopted in various areas, and tourism industry can be one of potential growing areas. Tourist and travelers would like to share their photos and stories as well as find others' experiences. People are doing their activities through social media. Regarding relaxing entertainments, information sharing, escapism, social interaction, tourism activities are being paid attention by majority of users in social media. However, Although people have various motivation for using social media, academically researchers have not actively studied on the phenomenon arising from tourism industry. Therefore, this study aims to the reasons for tourism information searching motivational factors of social media that influence perceived value and its consequences such like before-searching, during-searching, and after-searching and divided social media into two types according to the level of social presence, and then empirically verified them. Antecedent variables divided into benefits including perceived usefulness and information quality and sacrifices including complexity and perceived effort. Our analysis results show that both of dimensions had the greatest effect on perceived value of social media use, which affect the consequences.