• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.10
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• pp.1564-1574
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• 2009

This study identifies the effects of fashion innovativeness and style-innovation attributes of young female adults in fashion adoption. Date collecting using a written survey instrument yielded 801 complete responses from female consumers between the ages 20 and 39. A factor analysis on style-innovation attributes resulted in 5 dimensional structures: relative advantage, compatibility, trialability, observability, and perceived risk. 5 groups divided by the level of fashion innovativeness showed meaningful differences on style innovation attributes. The more a group showed fashion innovativeness, the higher the level of relative advantage, compatibility, trialability, and observability the group expressed, but the more a group showed fashion innovativeness, the lower the level of perceived risk expressed by the group. To analyze fashion adoption of the samples, 5 dimensions of style-innovation attributes and fashion innovativeness were adopted as explanatory variables. All of these variables (except observability) significantly and positively affected fashion adoption; however, perceived risk significantly and negatively affected fashion adoption.

• The Research Journal of the Costume Culture
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• v.1 no.2
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• pp.113-130
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• 1993

The purpose of this study was to investigate the role of perceived attributes of innovation in predicting the fashion innovativeness of female college students and to compare results with the predictive efficacy of selected psychographic variables. The data were analyzed by factor analysis and stepwise multiple regression. Frequency, percentage and man values were used to evaluate the descriptive data. The major findings derived from analysis are as follows: 1. Of the psychographic variables used to predict fashion innovativeness fashion interest was the most predictive of fashion innovativeness followed by venturesomeness. 2. So only perceived attributes variables found to be predictive of fashion innovativeness was perceived risk.

• The Journal of Industrial Distribution & Business
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• v.10 no.7
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• pp.39-48
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• 2019

Purpose - The purpose of this study was to explore the impact of chatbots' innovation attributes on the innovation acceptance for consumers who have used chatbots to purchase fashion products that account for a large share of transactions in mobile shopping. Research design, data, and methodology - Data were collected from Korean consumers aged 20 to 49 who had experience using chatbots when purchasing fashion-related products via mobile circumstances. After a pilot survey of 31 customers, pre-questionnaire was revised for the final test, and the final questionnaire was distributed to 1,500 subjects. Out of these, 244 were retrieved. After excluding 48 inappropriate responses, 196 were used for statistical analysis. Frequency analysis, exploratory factor analysis, one-way ANOVA, regression analysis and independent t-test using SPSS 23.0 were employed for data analyses. Results - First, four factors of chatbots' attributes were extracted: relative advantages and compatibility, complexity, sensibility, and diversity. Second, two factors were extracted for fashion leadership: fashion opinion leadership and fashion innovativeness. Two groups based on the fashion leadership were identified: active innovation adopters and passive innovation adopters. Third, relative advantages and compatibility, diversity, sensibility of innovation attributes were found to have effects on the innovation acceptance in order. Fourth, significant differences were found in sensibility of innovation attributes and innovation acceptance in groups by marital status and age. The married in their 30s and 40s perceived sensibility as a more important attribute of chatbots than the unmarried in their twenties. Among the groups of different income levels, meaningful differences were found in diversity of innovation attributes and innovation acceptance. Fifth, there were significant differences found in relative advantages and compatibility, sensibility of innovation attributes, and acceptance of Innovation among the groups by fashion leadership. Active innovation adopters were found to be more aware of the importance of relative advantages and compatibility, and sensibility of innovation attributes, and innovation acceptance. Conclusions - The present study provides chatbots' marketing strategies for fashion items need to be modified by demographic characteristics and fashion leadership. Particularly, fashion leadership was found to be an important factor in determining the perception of innovation attribute as well as innovation acceptance.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.3
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• pp.393-400
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• 2000

기술적 혁신과는 달리 상징적 혁신(symbolic innovation)은 기존 제품에 부가된 사회적 의미가 변화함으로서 창조된다. 따라서, 상징적 혁신에서 새로운 사회적 의미와 관련된 속성은 기능적 속성만큼이나 중요하다. 본 연구는 상징적 혁신의 대표적인 의류제품을 이용, 패션혁신행동에 영향을 미치는 인지된 혁신속성(perceived innovation attributes)을 구별하고, 패션혁신행동의 두 유형(구매와 사용)에 미치는 이러한 속성의 영향을 고찰하였다. 대학생 집단을 표본으로 이용, 설문지 조사를 통해 수집된 515부의 응답지가 분석되었다. 인지된 혁신 속성은 유사성(compatibility), 기능적 상대적 잇점, 사회적 상대적 잇점, 인지된 위험으로 구분되었다. 의복흥미가 구매와 사용 두 측면의 패션혁신행동에 영향을 주었으나 인지된 혁신속성은 사용측면에만 영향을 주었다. 유사성과 기능적 상대적 잇점이 사용혁신행동에 긍정적 영향을, 인지된 위험이 부정적 영향을 미쳤다. 혁신속성이 영향을 미치지 않은 반면 의류소비정도가 구매혁신에 영향을 주었다. 본 연구의 결과는 사용혁신성이 높은 소비자는 구매혁신성이 높은 소비자보다 혁신속성의 평가에 더 관여한다는 것을 시사한다.

• Journal of Information Technology Services
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• v.22 no.2
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• pp.41-56
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• 2023

Metaverse is a three-dimensional virtual space where virtual and reality interact and co-evolutionize, and social, cultural, and economic activities are carried out in it to create value. Among the types of metaverse, the virtual world metaverse is expected to bring innovation beyond time and space in all areas of industry and society following the Internet. This study empirically analyzed factors affecting consumer's intention to use the virtual world metaverse by an innovation diffusion perspective. It was analyzed as an expanded technology acceptance model by setting relative advantages, ease of use, and visibility among the attributes of the innovation diffusion, and social presence, telepresence, and interactivity among the characteristics of the virtual worlds as factors. The proposed research model and hypothesis were verified through a PLS structural equation analysis based on a survey of 216 people. Studies have shown that relative advantage, telepresence, and interactivity have a significant effect on perceived usefulness and perceived enjoyment, but visibility does not have a significant effect on perceived usefulness and perceived enjoyment. It was found that ease of use had a positive effect on perceived enjoyment, social presence had a positive effect on perceived usefulness, and perceived usefulness and perceived enjoyment had a positive effect on the intention to use, respectively. This study is meaningful in that it empirically analyzed the factors affecting the intention to use the virtual world metaverse by dividing the psychological characteristics that induce consumer behavior into perceived usefulness which is an extrinsic motivation and perceived enjoyment which is an intrinsic motivation.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.10
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• pp.1087-1099
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• 2012

This study investigated the purchase intention of green fashion products based on Rogers' Diffusion of Innovation theory and compared the differences between Korean and British consumers. In order to identify the impact of personal characteristics, this study also examined the effects of fashion innovativeness and LOHAS tendency on perceived attributes of innovation and intention to purchase. With a convenience sampling method, a survey questionnaire was distributed at popular fashion streets in each country. A total of 426 data were obtained, 203 from the UK and 223 from Korea. About 52% were females, and 69% were in their twenties. A factor analysis generated two LOHAS factors (health concerns and eco concerns) and four attributes of green fashion products (image improvement, symbolic superiority, observability, and compatibility). Two types of green fashion products (organic cotton t-shirts and organic cotton t-shirts with an environmental message) were provided to measure the purchase intention, respectively. The findings were as follows. British consumers were more likely to show LOHAS tendency and to perceive positive advantages of green products compared to Koreans; in addition, British consumers presented higher mean scores on the purchase intentions of organic cotton products. Fashion innovativeness was significant to predict image improvement and symbolic superiority, while eco concerns were significant in compatibility for both nations. Compatibility was important for both countries in order to explain the intention to adopt two types of organic products. In addition, image improvement was another predictor for purchase intention of organic t-shirts with an environmental message. Managerial implications were provided.

• International Journal of Quality Innovation
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• v.6 no.1
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• pp.8-23
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• 2005

Service attributes are important for customer perceptions of service quality. However, in spite of huge amount of research, the role of service attributes as satisfiers and dissatisfiers in service encounters is not understood well enough. An empirical investigation is conducted concerning a problem resolution service in the telecommunication industry. We use both qualitative and quantitative service performance data to describe and analyze how critical incidents can be used to identify and understand which service attributes are perceived as satisfiers and dissatisfiers. Our study reveals that there is a subset of critical incidents, so called critically critical incidents, which are perceived differently and are different in content compared to critical incidents. These incidents are extremely rich of information and have the possibility to reveal the real satisfiers and dissatisfiers in a service encounter.

• Journal of Information Technology Services
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• v.18 no.2
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• pp.97-121
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• 2019

In this paper, factors affecting intra-organizational diffusion of Big Data systems from the perspective of the Big Data system vendors have been analyzed. In particular, the theory of resistance against innovation that exists in some form before the adoption or rejection of innovation has been focused on. In order to do that, the resistance has been divided into three categories : postponement, rejection and opposition. The variables affecting each type are also divided into four independent variables : perceived risk, innovation characteristics, user attributes, and organizational attributes. As a result of the survey, it was confirmed that the influences of each variable are different according to the type of resistance. As the strength of the resistance was increased, the influence of the trialability was increased as well. As the strength of the resistance was decreased, the satisfaction with the existing system became more influential on the resistance. The time risk and the satisfaction with the existing system were found to affect all types of resistance. From the vendor's point of view, strategic implications are presented in terms of marketing or system development for diffusion, depending on the degree of resistance of the adopter.

• Asia-Pacific Journal of Business
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• v.13 no.2
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• pp.79-94
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• 2022

Purpose - The purpose of this study is to examine firm-level attributes related to Korean manufacturing small and medium-sized enterprises' (SMEs') decisions to implement smart factories. Design/methodology/approach - This study uses the provided by the Ministry of SMEs and Startups of Korea and the Korea Federation of SMEs. Manufacturing SMEs' decisions to implement smart factories in 2018-2019 were analyzed using multinomial logit and ordered logit models. Findings - The findings of this study suggest that firms' decisions to implement smart factories were positively related to firm size, R&D intensity, international market scope, and transactional relationships with customers. However, smart factory implementation decisions were not related to firm age and CEO gender. Research implications or Originality - This study illuminates firm-level attributes that may drive organizational innovation in the era of Industry 4.0 and thus contributes to the innovation adoption literature. This study also contributes to growing research on smart factories by analyzing the actual, progressive decisions to implement smart factories, as opposed to perceived intentions to implement them.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.63-68
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• 2022

Given the competition between different tourist destinations to attract domestic and international tourists it is absolutely vital to examine their website efficacy on specific attributes. This study employs one of the recently developed multi-criteria decision-making method the Best-Worst Method to assess the state government official tourism website across four Indian states known for their tourism potential- Himachal Pradesh, Uttrakhand, Uttar Pradesh and Rajasthan on specific attributes provided by the widely acknowledged WebQual instrument. Information Fit-to-Task and Trust emerged as the most important criterion. Relative advantage and Innovation the least important. The results of the study are easily interpretable and visual. They offer both an individual and comparative analysis of the perceived website efficacy on specific attributes to facilitate tourism stakeholders and website administrators to strategize and make their digital presence effective and competitive.