While many marketing researchers conceptualize the binary split between luxury and non-luxury consumers, this paper takes the more refined approach of the heterogenization of the luxury consumer segment by exploring the progressive stages of luxury consumer maturity, reflected by diverging luxury consumption behavior. An argument for a progression of maturity is presented here in terms of making purchases of well-known luxury brands (e.g., Louis Vuitton or Prada) versus more obscure luxury brands (e.g., Marni or Ann Demeulemeester). As brands continue to be acquired by conglomerates (e.g. LVMH, Kering Group, Richemont, etc.), a perspective from luxury holding companies was a logical starting point. In each holding company’s portfolio, brands represent different positions, with the well-known brands occupying the flagship positions within the conglomerate. These brands capitalize on overt usage of branding and logo (which we term as Stage 1 brands). More obscure companies within the major conglomerates or independent fashion houses tend to rely less on branding and have a greater focus on savoir faire and technical applications of material and cut, requiring a higher degree of fashion knowledge (termed here as Stage 3 brands). Stage 2 brands represent the cohort of fashion houses that exist as non-flagship brands within the context of a larger conglomerate. To categorize each participant based on their shopping patterns, we calculate a metric termed here as a “maturity ratio” that falls between 1 and 3 and is used to assign each consumer to a stage. Therefore, we put forth the following hypotheses: Fashion knowledge is the mediating variable that drives progression of consumer maturity. That is, the higher a consumer’s knowledge about fashion, the more mature and discriminating the consumer’s tastes and shopping patterns will be [H1]. Materialism works to encourage consumers to learn more about fashion and therefore have higher fashion knowledge [H2]. A high consumer need-for-uniqueness (CNFU) will lead consumers to learn more about fashion in order to discover ways to stand out from the norm [H3]. Consumers who are self-conscious will have high fashion knowledge due to the pressures of social anxiety to have a socially acceptable outward appearance [H4].

The aim of the paper is to present an analytical approach that combines netnography with text-mining to build consumer brand knowledge in terms of brand associations deriving from social media contents. More specifically, it is based on the multi-vocal nature (Gensler et al., 2013) of the brand related to the participatory, collaborative and socially-linked behaviors by consumers that serve as creators of brand stories thus determining brand associations. It identifies and explores user-generated contents (UGC) as expression of brand associations emerging from different categories of actors in social media (consumers, influencers and other online prescribers), and measures their alignment with the company-defined brand associations. The rise of social media and the associated possibilities of large-scale consumer-to-consumer interaction and easy user generation of content shed light on the importance of the consumer-generated brand stories through social media, which have a high impact due to their characteristics of being digital, visible, ubiquitous, available in real-time, and dynamic (Hennig-Thurau et al., 2010). Methodologically, the paper proposes a two-pronged methodological approach integrating qualitative market research techniques with the quantitative ones, respectively netnography, used to explore consumer interactions in virtual communities through computer-mediated discourses, and text mining, used to extrapolate information from relatively large amounts of electronically stored textual data by means of computer applications. More specifically, the paper proposes an analysis of the 10 top luxury fashion brands in terms of brand associations emerging from UGC in social media through the voices of consumers, bloggers and other online prescribers, in line with the multi-vocal nature of the brand. Such associations are then compared to those generated by the company, in order to identify a possible alignment. The paper provides an analytical tool that allow managers to actively understand how different “online market brand players” interact with their brands, and eventually redefine their branding strategies together with their brand communication.

These days, thanks to lots of smart devices and advanced communication technologies, consumer’s recognition and relations have been changed. They, beyond relying on information and services which are produced by experts, produce information and knowledge by themselves via SNS or web that they want to know. As consumer’s recognition is changing like this, SNS is evolving into social platform. Therefore, this paper is intended to clarify overall relationship between network characteristics in social platform, knowledge sharing, social capital, social innovation and customer’s value. This paper has clarified influences between variables related to consumer’s behaviors in social platform and the results are summarized as following: First, network characteristics in social platform are found to positively affect knowledge sharing efforts of social platform. Second, knowledge sharing has been found to positively affect social capital and innovation in social platform. However, enjoyment in helping others i.e a sub variable is found to positively affect social capital and innovation through anticipated reciprocal relationships. Third, social capital and innovation in social platform have affected customer value in social platform positively. Consequently, this paper is intended to solve various problems found from overall societies and industries through social innovation and also to advance them. For these purposes, social platform is believed to prompt sharing idea and knowledge based on interactions between users and social relationship. These actions become social capitals resulting in social innovation. Moreover, these would create new businesses and marketing opportunities across various areas in the processes that innovative activities form customer values.

The importance of sustainability is dramatically devoted in fashion industry because the fashion cycle period has been accelerated by fast trend changes. In the past 10 years, fashion companies were trying to meet consumer demands by mass production and quick response. However, due to the low price, consumers are taking low value to products which lead to tremendous amount of clothing waste. This fashion market movement caused social, environmental and economic issues. Therefore, we need to seek for apposite solutions by researchers and practitioners. The traditional educational efforts and approach did not apply to transformative action (Frisk, Larson, 2011). In order to diffuse sustainable knowledge and promote the sustainable behavior, a proper education system has to be developed. According to our pilot study, it shows that the respondents do not have basic knowledge of sustainability or they know the sustainability but it does neither directly nor indirectly impacts to consumer purchase intention and action. A method of this study is focusing on age group 20’s to 30’s because these age groups are the main consumers for the mass production fashion goods and received sustainable education in traditional academic institutions. This study tested a method that can fill the gap between attitude and action by classifying various types of knowledge and find out which knowledge type is the most applicable for fashion industry. The purpose of this study is to provide efficient ways and types to deliver sustainable knowledge which academic institutions and companies can apply. This study presents the results of the role of knowledge in attitude and purchase decision-making in sustainable fashion. Sustainability knowledge captures a broad scope that covers environmental, social and economic perspectives, but with regards to the fashion industry, environmental concern is focused the most. The study results reflects that the proper way of educating potential and existing fashion consumer will help the academic institution and fashion companies to reallocate their sustainable strategy to all three scopes of sustainability (Miller et al., 2011). More of academic institutions and fashion companies are participating to sustainable issues; it will raise the sustainable awareness, which will leads to diffusion of sustainable knowledge and green fashion trends.

Marketing green products can be challenging and identifying the preferences of consumers can help marketers overcome these challenges by developing focused marketing solutions. This research was conducted to examine the affects of cultural differences on the perception of green buildings thus the associated preferences of the occupants. This study found that South Koreans perceive indoor environmental quality as the most important green building attribute while Americans feel the same way for the materials and resources used to build. Interdisciplinary approaches such as the ones developed in this study can help develop targeted marketing strategies to ultimately benefit multiple industries by offering sustainable solutions to the growing global and regional environmental, economic, and social problems.

This study focuses on consumer knowledge which is one of the determinants of consumer behavior, referring to difference in consumer knowledge at each stage of the purchase decision making-process. Thus, for that reason, the consumer behavior specified by consumer knowledge is difference at each stage of purchase decision making-process.

The purpose of this study was to identify the determinants of decision-making confidence of clothing. As determinants, this study examined consumer susceptibility to interpersonal influence, vanity, and clothing knowledge. Data were collected through surveying university students in Seoul metropolitan area using convenience sampling method. Out of 324 distributed, 300 useful questionnaires were returned. The results showed that identical conformity among consumer susceptibility to interpersonal influence factors significantly influences, both directly and indirectly, decision making confidence through vanity. Although normative conformity does not influence decision-making confidence directly, it does significantly influence decision-making confidence indirectly through influencing vanity and clothing knowledge. The results suggest clothing is a manifestation tool for managing public self, which finally leads to increased clothing knowledge and decision-making confidence of clothing. These findings may be used by marketers in developing strategies for product development and promotion.

The purpose of this study was to measure the effects of trust, knowledge, optimism, risk and benefits on consumer attitudes toward genetically modified foods. A total of 326 questionnaires were completed. Moderated regression analysis was used to measure the relationships among the variables. The analysis results for the data indicated a good model fit in Model 2 rather than Model 1, in which the direct effects of trust, optimism and benefits had statistically significant direct effects on the respondents' attitudes toward genetically modified foods, while the direct effects of knowledge and risk were not statistically significant. As expected, the interaction term of risk and benefit had a significant effect on consumer attitude. Moreover, the effect of risk on consumer's attitude toward genetically modified foods was statistically significant at all levels of benefit, except at the lower benefit level. Finally, the results of this study indicated that genetically modified food developers and marketers should attach importance to the interaction effect of benefits to understand the elements of market demand and customer loyalty.

As various types of information technology systems are becoming more pervasive than ever, many studies have evaluated the systems from the user perspective. Some of them have used surveys to measure consumers’ cognitive responses to the target technology. However, this method may cause problems if the survey participants do not have a useful frame of reference for evaluating an unfamiliar system. To examine this issue, the current study empirically tested the effect of personal product knowledge on the predictability of a behavioral model, such as Technology Acceptance Model. A series of measurement invariance tests as well as multi-group comparison tests were conducted for rigorous examination of the data. Our analysis showed that the variance of attitude that is explained by the two believes (perceived usefulness and ease of use) was relatively small when the survey respondents had lower amount of product knowledge. Moreover, the group had weaker causal relationship between attitude and intention to use the technology, hindering the predictability of the research model. The results indicated that respondents should have a certain amount of knowledge of the target system in order to form accurate beliefs and behavioral decisions. The findings of this study provide important implications on sampling strategies for researchers with new technology.