A shopping orientation segmentation of French consumers: Implications for catalog marketing

The Impact of Generation X, Y, Z and Lifestyle in Selecting Preference Retail Mediated by Brand Image Variable

“…The important thing for marketers is to have the latest knowledge of the various factors that influence consumer decisions in order to facilitate customers in the market [1] and categorize consumers into groups related to retail choices [2] as well as shopping orientation [3]. Consumers tend to display different shopping orientations, based on their individual personality and characteristics.…”

“…Consumers adjust their shopping orientation to their wants and needs. Shopping orientation is a buyer style that places special emphasis on specific activities [3]. These different buyer styles have different market behaviors, including the need for different sources of information and different store preferences [3].…”

“…Shopping orientation is a buyer style that places special emphasis on specific activities [3]. These different buyer styles have different market behaviors, including the need for different sources of information and different store preferences [3]. The shopping orientation is recognized as a complex social, cultural and economic phenomenon [4].…”

Visualizing market segmentation using self-organizing maps and Fuzzy Delphi method – ADSL market of a telecommunication company

“…k-Means algorithm and artificial neural networks are some techniques widely considered in clustering problems (Hung & Tsai, 2008). k-Means clustering is the most frequently used market segmentation technique among the other clustering techniques (Gehrt & Shim, 1998;Kuo, Chang, & Chien, 2004). However, the major drawback of k-means clustering is that it often falls in local optima and the result largely depends on the initial cluster centers (Kim & Ahn, 2008).…”

Women and Their “Food Time” an Investigation Into Food Purchases, Preparation, and Consumption Atmosphere Using Smartphone Survey Technology

“…Many used demographic characteristics (Hopping, et al, 2010) or geographic data (Quinn, Hines, and Bennison, 2007), while others used character traits and attitudinal factors, which became popular bases for segmentation in the 1980s (Quinn, Hines, and Bennison, 2007). Shopping habits and preferences followed in the next decade (Gehrt and Shim, 1998) and in recent years, lifestyle characteristics have gained more attention (Buckley, Cowane, and McCarthy, 2007). This is supported by the notion that consumers are increasingly multi-faceted and thus, require unconventional segmentation techniques in order to better understand the underlying motives of their food behavior (Ares and Gámbaro, 2007).…”