• Title/Summary/Keyword: Fashion adoption process model

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Fashion Adoption Process Model (유행채택모형 연구)

  • Lee, Mi-Ah;Rhee, Eun-Young
    • Journal of the Korean Society of Clothing and Textiles
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    • v.34 no.10
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    • pp.1671-1686
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    • 2010
  • This research presents a fashion adoption process model based on collective selection theory and examines the differences in the consumer adoption process of merchandising types at each stage of the fashion cycle. A questionnaire survey of 472 adult women was conducted for the purpose of empirical analysis of the fashion adoption process. The results show that fashionability and popularity (the primary attributes of fashion goods) have direct effects on resistance and adoption as well as indirectly through social compatibility and personal compatibility in the evaluation stage. In conclusion, on the theoretical side, this study verified the fashion process model according to consumer participation in the adoption process of fashion goods existing at different stage of the fashion cycle, internally through negotiating with individual tastes, and externally through interacting with others. On the practical side, this study presented an empirical result that can apply to merchandizing strategy centered on merchandizing type by connecting consumer adoption for the fashion goods released by actual companies.

A study on acceptance of smart fashion products - An empirical test of an extended technology acceptance model - (스마트패션제품 수용에 관한 연구 - 확장된 기술수용모형 실증연구 -)

  • Jeong, So Won;Roh, Jung-Sim
    • The Research Journal of the Costume Culture
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    • v.24 no.2
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    • pp.263-272
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    • 2016
  • Using the extended technology acceptance model (TAM), the study aimed to understand consumers' adoption process for smart fashion products. The research model was designed to examine the impacts of perceived ease of use and usefulness on attitude and behavior intention toward smart fashion products based on the technology innovativeness, enjoyment, and subjective norm variables. An online survey was conducted on consumers by employing a marketing research company. A total of 230 useable responses were obtained. Confirmatory Factor Analysis (CFA) was performed to test the measurement model. The proposed hypotheses were tested by employing the Structural Equation Model (SEM). The results found a positive impact of perceived ease of use on usefulness and a positive influence of usefulness on attitude and behavior intention. Attitude had a positive effect on behavior intention. In addition, technology innovativeness was found to have a positive influence on perceived ease of use and enjoyment had a positive influence on usefulness and attitude. Subjective norm predicted behavior intention. The findings of the study contribute to smart fashion literature and have important implications for smart fashion product developers and marketers, as they offer insights into the important role of technology innovativeness, enjoyment, and subjective norms perceived by consumers in improving attitudes and behavior intentions toward the products. Limitations and future research directions are discussed.

The Extended Technology Acceptance Model According to Smart Clothing Types (스마트 의류제품 유형에 따른 확장된 혁신기술수용모델)

  • Chae, Jin-Mie
    • Korean Journal of Human Ecology
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    • v.19 no.2
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    • pp.375-387
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    • 2010
  • The Technology Acceptance Model (TAM) presented by Davis (1989) has been regarded as highly explanatory as well as the clearest model in explaining consumers' adoption of innovative technology or products. Existing studies have expanded the model by adding related external variables to improve the explanation depending on the type of innovative technology. This study expanded TAM by adding two more variables, namely consumers' technology innovation and clothing involvement considering the feature of smart clothing. The objectives of this study are as follows: 1. to suggest the extended TAM in explaining the adoption process of smart clothing, 2. to verify the differences in the path hypotheses according to the type of smart clothing. A total of 815 effective samples were collected from adults over 20 years old, and AMOS 5.0 package was employed for data analysis. As a result, it was proved that the extended TAM was appropriate for explaining the process of adopting smart clothing according to the path hypotheses of smart clothing types. Technology innovation and clothing involvement were confirmed as antecedent variables in affecting TAM. The perceived usefulness appeared to be a more crucial variable than the perceived ease of use and attitude was found to be an important parameter in adopting smart clothing. Considering the path hypotheses of MP3 playing clothes, perceived usefulness had a direct influence on acceptance intention unlike other types of smart clothing. As for photonic clothes, the influence of perceived ease of use on attitude was supported while it was rejected in the case of MP3 playing clothes and sensing sportswear.