• Journal of Fashion Business
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• v.20 no.3
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• pp.89-103
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• 2016

This study examines female new seniors' clothing consumption behaviors, such as their information sources, clothing store selection criteria, and perceived importance of sales associates' attributes, based on their level of clothing involvement. A face-to-face survey was conducted through a market research firm. The subjects of this study were female adults in their 50s and 60s residing in the Seoul metro area (N=197). Significant differences were found in the clothing consuming behaviors of new seniors depending on their clothing involvement(CI). High-CI new seniors tended to place more importance on both personal and non-personal information sources than low-CI new seniors. High-CI new seniors place importance both "merchandise assortment and store atmosphere" and "sales associates and service" when they select stores for clothing than low-CI new seniors. In terms of sales associates' attributes, high-CI new seniors tend to place more importance on customer-orientation than medium- and low-CI groups. Medium- and high-CI new seniors tend to place more importance on appearance than low-CI groups. However, there were no significant statistical differences for professional expertise among the three different CI groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.6
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• pp.969-981
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• 2010

This study explains the consumer acceptance of smart clothing using the extended Technology Acceptance Model (TAM); in addition, it compares the difference in the path hypotheses of the perceived group and nonperceived group from the aspect of the extended TAM. A total of 815 copies of questionnaire were collected from a web-based survey in March 2009. Structural equation modeling was used to examine the entire pattern of intercorrelations among the constructs and to test related propositions using an AMOS 5.0 package. The fitness of the extended TAM explains the process of the adaptation of smart clothing. Technology Innovation (TI) and Clothing Involvement (CI) were confirmed as antecedent variables to affect TAM. In the perceived group, Technology Innovation (TI) and Clothing Involvement (CI) showed significant impacts on the Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) while Technology Innovation (TI) did not influence the Perceived Ease of Use (PEOU) in the non-perceived group. Perceived Ease of Use (PEOU) influenced the Perceived Usefulness (PU) and indirectly influenced Attitude (A) through the Perceived Usefulness (PU) in both groups. In addition, Perceived Usefulness (PU) did not influence Acceptance Intention (AI) but indirectly affected Acceptance Intention (AI) through Attitude (A). Therefore, Attitude (A) was found to be an important parameter in the adaptation of smart clothing in both groups. This finding implies that consumers first perceive the usefulness of smart clothing, then take favorable attitudes towards the smart clothing, and finally have the intention to adopt it. Strategies for publishing and informing consumers of the functions of smart clothing and usefulness in life are necessary; in addition, understanding what useful values they expect from the clothing is also crucial.