• Journal of Korean Society for Quality Management
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• v.52 no.3
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• pp.509-527
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• 2024

Purpose: This study aims to investigate the factors influencing the adoption of Generative AI in the workplace, focusing on both enablers and inhibitors. By employing the dual factor theory, this research examines how knowledge support, customization, entertainment, perceived risk, realistic threat, and identity threat impact the intention to adopt Generative AI technologies such as ChatGPT. Methods: Data were collected from 192 participants via MTurk, all of whom had experience using Generative AI. The survey was conducted in June 2024, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure the validity and reliability of the measurement model. Attention-check questions were used to ensure data quality, and participants provided demographic information at the end of the survey. Results: : The findings reveal that knowledge support and entertainment significantly enhance the intention to adopt Generative AI, whereas realistic threat poses a substantial barrier. Customization, perceived risk, and identity threat did not significantly affect adoption intentions. Conclusion: This study contributes to the literature by addressing the gap in understanding the adoption mechanisms of Generative AI in professional settings. It highlights the importance of promoting AI's knowledge support and entertainment capabilities while addressing employees' concerns about job security. Organizations should emphasize these benefits and proactively mitigate perceived threats to foster a positive reception of Generative AI technologies. The findings offer practical implications for enhancing user acceptance and provide a foundation for future research in this area.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1927-1938
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• 2008

Companies can build a close relationship by providing benefits that consumers want. As long relationships between consumer and company are stressed these days, it is very important for the growth and development of companies to assess what benefits consumers perceive and how they reflect them to their buying behaviors. Thus, this study aims to examine the relational benefits that consumers perceive in internet clothing purchase and how these perceived relational benefits affects relational commitment and customer loyalty. This study surveyed 343 male and female in their 20s and 30s for empirical analysis who have ever purchased clothing through internet shopping malls. Descriptive statistics, factor analysis, ANOVA analysis, Duncan test, and ${\chi}^2$-test are carried out using SPSS for Windows 12.0 for statistical analysis. The results are as follows. First, the dimensions of relational benefits perceived by consumers in internet clothing purchase are found 6 including customization, economic, psychological, social, shopping convenience, and informational. Second, consumers' perception of relational benefits significantly affect on relational commitment and loyalty, thus consumers with greater recognition of relational benefits have higher relational commitment and loyalty. Third, based on the dimensions of consumer's perceived relational benefit, consumers are categorized into 6 types: group perceiving social benefit, group perceiving economic/shopping convenience benefit, group perceiving shopping convenience benefit, group perceiving customization benefit, group perceiving informational benefit, and group perceiving psychological benefit. The group perceiving customization benefits have higher relational commitment and loyalty than the others. It is expected that this study will help internet companies establish customer relationship management strategies, which are needed to promote relationships with customers and to enhance customers' loyalty to internet shopping malls.

• The Journal of the Acoustical Society of Korea
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• v.28 no.5
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• pp.409-415
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• 2009

The head-related transfer function (HRTF), which has an important role in virtual sound localization has different characteristics across the subjects. Measuring HRTF is very time-consuming and requires a set of specific apparatus. Accordingly, HRTF customization is often employed. In this paper, we propose a method to search an adequate HRTF from a set of the HRTFs. To achieve rapid and reliable customization of HRTF, all HRTFs in the database are partitioned, where a binary search tree was employed. The distortion measurement adopted in HRTF partitioning was determined in a heuristic way, which predicts the differences in perceived sound location well. The DC-Davis CIPIC HRTF database set was used to evaluate the effectiveness of the proposed method. In the listening test, where 10 subjects were participated, the stimuli filtered by the HRTF obtained by the proposed method were closer to those by the personalized HRTF in terms of sound localization. Moreover, performance of the proposed method was shown to be superior to the previous customization method, where the HRFT is selected by using anthropometric data.

• Fashion, Industry and Education
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• v.16 no.1
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• pp.1-18
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• 2018

The purpose of this study was to investigate the influence of consumers' regulatory focus on their perceived values of the product as well as shopping process, and willingness to invest resources for online mass-customized products. Data were collected using an online survey from 251 young adult consumers, particularly those who have prior purchase experience of mass-customized products. Interpretation of results indicated that consumers' promotion regulatory focus impacted their perceived values of the product (social, emotional, monetary, and epistemic but not performance), perceived values of the shopping process (hedonic and utilitarian), and willingness to invest more money, time and effort. However, as anticipated, prevention regulatory focus had no significant influence on the dependent variables. Researchers provide crucial implications for brands of online mass-customized products to segment their market based on regulatory orientation, as well as better cater to customer demands by positioning their products as offering benefits that specifically caters to the needs of such consumers.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.3
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• pp.464-476
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• 2021

This study empirically investigated the relationship benefits perceived by consumers from a live commerce channel and verified effects on trust in seller/product relationship and purchase intention to establish a strategy for a live commerce channel. An online survey was conducted among 204 women residing in Korea who had watched a video on fashion products shown by the NAVER Shopping channel. The perceived relational benefits from the live commerce channel were extracted into four groups: psychological, social, economic, and customerization benefits. Psychological benefits were found to have a positive effect on trust in seller but not trust in product. Social benefits and customization benefits had a positive effect on both trust in seller and product, but economic benefits had no effect. Trust in seller and in product had positive effects on purchase intention. Understanding consumer response in relation to perceived relationship benefits in live commerce can contribute strengthen consumer behavior research on live commerce channels. These results can guide fashion companies as they develop live commerce marketing strategies.

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.97-112
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• 2024

In order to verify the factors affecting the acceptance of Serious Games for Healthcare (SGHs), this study developed a hierarchical model of general and specific benefit and risk factors affecting the intention to use SGHs based on the valence framework. As a result based on 199 samples, it was revealed that perceived customization and perceived schedule flexibility had a positive effect on the perceived benefits, which, in turn, had a positive effect on the intention to use SGHs. However, among the specific risk factors, only privacy risk had a positive effect on perceived risk, but it did not have a effect on SGHs usage intention. The results related to the fact that the survey respondents were potential users of SGHs and the bias that may overestimate the benefits provided by SGHs called optimistic bias. Based on these findings, some implications were presented such as the spread and distribution of SGHs to the ordinary persons, improvement of negative perceptions of games, and the need for data-based services to refine customized services for SGHs.

• Journal of Fashion Business
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• v.7 no.6
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• pp.85-91
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• 2003

Quick Response based Mass-Customization can be produced and distributed customized goods and services on mass basis in apparel e-business. Because consumers cannot touch and feel the apparel products in e-business, they tend to have the negative buying behavior. The purposes of this study were to analyze factors of texture image, and to investigate the differences of consumer sensibility on texture image of apparel products based on different marketing channels (on-line/off-line). Two types of questionnaires for on-line and off-line were used to assess consumer sensibility on apparel fabric. The 8 swatches were selected based on the previous literatures. 202 returned questionnaires for each type (on-line/off-line) were analyzed by t-test, mean and standard deviation with SPSS 10.0. The result of this study was showed that there were partially significant differences on consumer sensibility on texture image of apparel products between on-line and off-line. In case of corduroy, consumers perceived more high-class image under on-line than off-line. In case of taffeta, consumers perceived more thin and dense image under off-line (traditional marketing channel) than on-line (e-commerce). In case of denim, consumers perceived more thin and natural image under off-line than online. In case of organza, consumers perceived more natural image under on-line than off-line. In case of satin, consumers perceived more natural image under on-line than off-line. In case of chiffon, consumers perceived denser image under on-line than off-line. In case of velvet, consumers perceived thinner image, higher-class image, and more natural image of texture sensibility under on-line than off-line. In case of single jersey, consumers perceived higher-class image, and denser image of texture under on-line than off-line.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.153-171
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• 2022

To measure economic performance, customer satisfaction indices are constructed. This study proposes an index for banking and telecom, a significant evaluative system for comparing and enhancing customer satisfaction across the industries. The study suggests and examines amendments and improvements to the prior indices and incorporates ignored indicators to propose a punier index for Pakistan. The study is a pioneer in integrating online and offline indices into a single comprehensive model. The study is enriched by the Theory of Reasoned Action and Technological Acceptance Model. A sample of 320 respondents was used. The sample was divided based on gender and marital status. To authenticate the theoretical model, PLS-SEM was applied. We discovered nine latent variables that define customer satisfaction and conclude that a single model can be utilized for e-commerce enterprises as well. The index scores are comparable to the American index for banking and the Turkish index for telecom. Multi-group analysis (MGA) was used to comprehend the differences among the groups. This reveals that customization, design, reliability, and responsiveness induce satisfaction in telecom male and married customers. For the banking industry, the difference exists in complaint handling, customization, corporate image, perceived price, reliability, responsiveness, sentiments, convenience, and security to satisfaction links, image and complaint handling to loyalty links.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.408-422
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• 2021

In this study, the relationship between trust and purchase intention, which is an outcome variable, was empirically verified by discovering the trust-forming factors of anti-aging products and developing measurement variables. In addition to the existing trust-forming factors such as perceived quality, perceived reputation, brand recognition, and customization, a newly discovered factor is 'accredited certification'. Since the anti-aging industry in Korea is an industry that directly affects consumer health, it was determined that the existing trust-forming factors had limitations in building consumer trust, and a new measure was discovered. This study conducted a survey on anti-aging product consumers and analyzed the solidity and relationship of the questions. As a result of the analysis, it was found that perceived quality, brand recognition, customization, and accredited certification among the anti-aging product trust-forming factors had a positive (+) effect on trust, and perceived reputation had a negative (-) effect on trust. appeared to affect It was found that there was a positive (+) effect between trust and purchase intention, which are the trailing variables. This study proved the meaningful relationship between trust-forming factors and trust by strategically developing and empirically and practically examining meaningful and effective trust-forming factors and measurement items. At the same time, this study is expected to significantly contribute to the establishment of marketing strategies related to anti-aging products in the future by discovering key factors for forming trust that are important for marketing in the anti-aging industry.

• Culinary science and hospitality research
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• v.24 no.1
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• pp.50-62
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• 2018

The purpose of this study was to overview the meaning of customer loyalty to segment customers based on their loyalty and to analyze the difference of loyal customers' perception of relational benefits in the restaurant industries. A self-administered questionnaire was distributed to 500 adults with dining experience at restaurants. Participants were given a brief description of loyalty and were made to choose a specific restaurant they felt loyal to and one with no loyalty. Attitudinal and behavioral loyalty were used in cluster analysis resulting 4 cluster groups. Each group was named true, spurious, latent, and low loyalty. After the groups were separated, ANOVA was used to see if the score of perceived relational benefit showed difference. All four relational benefit including social, psychological, economic, and customization benefit showed significant difference(p<.001). True loyal customers perceived relational benefit as the highest while low loyal customers showed the lowest. For latent and spurious loyal customers, it was found that latent loyal customers showed higher perception than spurious customers.