PurposeThe purpose of this paper is to conceptualize luxury customer value and empirically test the reliability and validity of the proposed structure of it. In addition, it aims to identify luxury customer value factors that influence brand relationship and behavioural intention.Design/methodology/approachA thorough literature study produces a comprehensive model of luxury consumer value. For an empirical test of the model, a web‐based on‐line survey is performed using a consumer sample in Korea. Statistical tests including CFA, second order factor analysis and structural model testing using covariance analysis are conducted.FindingsThe findings show that the luxury customer value represents a second‐order construct. The results provide satisfactory support for the four‐value structure model composed of utilitarian, hedonic, symbolic and economic values. Utilitarian value includes excellence and functional values, whereas hedonic value encompasses aesthetic, pleasure and experiential values. Symbolic value is reflected in self‐expressive and social values. Regarding the effect of luxury customer value on relationship quality, customers who perceive high symbolic, economic and functional values for luxury brands are more likely to develop a positive relationship with the brands.Originality/valueIn an attempt to confirm the luxury customer value structure in an emerging economy under a collective culture, this study expands previous studies on the conceptualization of luxury customer value. Through the empirical phase of the study, measures with both high reliability and validity for luxury customer value are produced, which will provide great benefits for further studies in the subject area. The association between customer value and brand relationship is examined.
Purpose – The purpose of this study is to investigate consumers’ intention to use mass customization by incorporating preference fit and their ability to express preferences into the theory of planned behaviour and to examine how consumers perceive behavioural control over the process of online mass customization (OMC). Preference fit, which refers to fit between consumer preference and product attributes, and ability to express preferences were integrated into theory of planned behaviour as two belief variables related to OMC. Design/methodology/approach – In total, 346 potential respondents were invited via e-mail to participate in the present study acquired from an independent marketing company. We conducted a self-administrated online survey using a video clip with voice instructions to demonstrate the OMC process as a stimulus. Findings – The results suggest that consumers’ attitudes and perceived behavioural control predicted their OMC use intentions. Preference fit positively affected consumers’ attitudes towards OMC as a behavioural belief, and the ability to express preferences positively influenced preference fit but did not predict perceived behavioural control as a control belief. Clothing involvement was a positive predictor of preference fit and the ability to express preferences. Originality/value – This study contributes to the OMC literature by suggesting a theoretical framework by extending the theory of planned behaviour and identifying consumers’ belief variables as antecedents of attitudes and perceived behavioural control in the OMC context. In addition, the study examines the role of clothing involvement in facilitating consumers’ OMC beliefs, suggesting the crucial role of clothing involvement as one of individual factors extending theory of planned behaviour framework, in the OMC process.
Given the growing interest in online apparel mass customization (OAMC), retailers must understand how consumers perceive the risk of OAMC, which is distinct from general online shopping for apparel. However, no study has provided an empirical analysis of various dimensions of this risk. The present study proposes a multi-item scale developed through item generation, purification, and validation for measuring consumers' perceived risk of OAMC and identifies eight dimensions of this perceived risk. The results have important theoretical and practical implications. Practitioners would be able to enhance their communication ability with their consumers and improve their online mass customization services by reducing certain risk dimensions.
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