Mining Consumer Knowledge from Shopping Experience: TV Shopping Industry

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Applying Information Integration Theory on the Modeling of Price Forecasting – An Example of Online Trading on Ebay

Because of the booming of internet technology and the great promotion internet portal, on-line exchange is more popular in the recent years. This study attempts to integrate concepts of Information Integrate Theory; Anchoring and Adjustment Method to explore the buyer’s trade behavior between two different cultures. After observing the historical data on Yahoo’s Taiwan and Yahoo’s America, the anchoring effect and order effect during the process of a C2C auction is proposed in this study. Chinese buyers seem willing to pay much their attention on pricing during the whole process of an auction than American people do. But, the same phenomenon does exist for American doing a bid on a higher-priced luxury commodity. It sounds for a luxury product, there is a common pricing strategy existed between people of two different cultures. The results provide a very promised direction for knowledge capture and decision analysis for trading, and more works for data mining on pricing for different commodities, cultures, or other kinds of variables related to products and members of market might be a possible future approach for building a knowledge management system for a pricing mechanism for the market

Social media marketing in Italian luxury fashion

Industries nowadays have been comfortable with the incorporation of social media to their marketing strategy. Italy has been known as a major center of the European fashion industry, a sector that is also following the social media marketing trends. This paper provides empirical findings on Italian luxury fashion brands? social media marketing activities. We present and analyze two case studies of Italian luxury fashion brands: Gucci and The Bridge (Il Ponte Pelletteria). Gucci is one of worldwide leading Italian fashion companies and The Bridge is a SME fashion brand that focuses on leather products. This study is based on a conceptual framework on social media marketing strategy synthesized from extensive social media marketing literature. The research methodology includes content analysis of Gucci?s and The Bridge?s public posts on their Facebook brand pages and Twitter. Our findings suggest that social media actions implemented by both brands are directed toward promotion and sales marketing activities. However, there are differences on the specific actions carried out by both brands, and the use the companies make of the two social media platforms. This paper provides valuable insight for framing social media marketing strategic actions and set the basis for social media performance measurements, especially among luxury fashion brands

Investigation of luxury values in shopping tourism using a fuzzy-set approach

This exploratory study, based on 316 questionnaires completed by mainland Chinese tourists in Hong Kong, investigates whether certain conditions are sufficient to motivate tourists' decisions to buy luxury products. The results of fuzzy-set qualitative comparative analysis reveal that a combination of four conditions (emotional attachment, fashion leadership, prestige sensitivity, and social value) is sufficient to influence tourists to shop for luxury brands. It must be pointed out, however, that the four conditions are unnecessary in some social and shopping contexts, and thus the findings do not reject the possibility that alternative conditions may also influence luxury shopping decisions. This study using fuzzy-set theory demonstrates that tourists who score highly in all four conditions constitute an almost perfect subcategory of luxury shoppers. Therefore, it is recommended that other scholars examine the conditions that are sufficient to influence tourists rather than concentrating on other factors

What influences Chinese fashion retail? Shopping motivations, demographics and spending

What influences Chinese fashion retail? Shopping motivations, demographics and spendin

The effects of luxury restaurant environments on diners’ emotions and loyalty : incorporating diner expectations into an extended Mehrabian-Russell model

Purpose: Consumers dine at luxury restaurants for reasons beyond fulfilling basic needs. However, little is known about the factors that contribute to diners’ emotions and loyalty toward luxury restaurants. This paper examines diners’ luxury restaurant consumption behavior by incorporating diner expectations into a modified Mehrabian–Russell model. Design/methodology/approach: To examine the proposed six hypotheses, qualitative and quantitative studies were performed. Following exploratory qualitative research, 310 consumers who dined at Taiwan’s five-star hotel restaurants were recruited for the main study. Data were analyzed using structural equation modeling. Findings: The results show that restaurants’ stimuli influence diners’ positive and negative emotions (organisms), which, in turn, affect their loyalty toward luxury restaurants (responses). Furthermore, customers with different levels of expectation react differently to stimuli. Practical implications: This study offers new empirical support for the proposition that diner expectation plays a role in building customer loyalty and thereby shades both theoretical and managerial understanding of the luxury restaurant consumption process. Originality/value: This study conceptualizes diners’ loyalty toward luxury restaurants (e.g., revisiting and recommending luxury restaurants) by examining the influence of restaurants’ stimuli, diners’ emotions, and customers’ expectations toward luxury restaurants. Additionally, this study offers some managerial implications for practitioners

Mining Consumer Knowledge from Shopping Experience: A case study on Indian E_Commerce Industry

E_Commerce becomes far much popular in recent years. E Commerce nowadays is almost everywhere. People go through online ; meanwhile, they are more and more accustomed to buy goods via E_Commerce channel. - The E-Commerce web sites are facing lots of problems today. Customers prefer traditional way to purchase the products and not from E-Commerce web sites. If we see the history of E-Commerce, then we get that E-Commerce is the purpose of Internet and the web to conduct business Even in recession, it is thriving and has become one of the most important consumption modes. This study uses cluster analysis to identify the profiles of E_Commerce consumers. The rules between E_Commerce spokespersons and commodities from consumers are recognized by using association analysis. Depicting the marketing knowledge map of spokespersons, the best endorsement portfolio is found out to make recommendations. By the analysis of spokespersons, period, customer profiles and products, four business modes of E_Commerce are proposed for consumers: new product, knowledge, low price and luxury product; the related recommendations are also provided for the industry reference