Attitude and age differences in online buying

By P. Sorce, Victor J. Perotti, Stanley Widrick. 2005

380 citations recorded by the source corpus.

Subfields: Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/0bf4ebb75c17147bb4b29b2047ff3ba7db1bd696

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Citations in the corpus

Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior (2015, background): “Unlike gender, the effect of age on the purchase behavior seems to be minor, with older people searching less for online items to buy but not exhibiting lower purchase frequency [38].”
Exploring gender differences in online shopping attitude (2010, result): “Finally, the results of this study provide empirical support for classifying motives for online shopping into goal-oriented (cognition) and fun (liking) factors (Sorce et al., 2005).”
Application of the Stimuli-Organism-Response (S-O-R) Framework to Online Shopping Behavior (2014, background): “In contrast, utilitarian online shoppers are more likely to focus on the functional characteristic of the online experiences such as product quality, price, usability, and other shopping task-related features (Sorce et al. 2005).”
Factors influencing Internet shopping value and customer repurchase intention (2012, background): “Consumer demographic attributes are typically represented by differences in age, gender, education, income, and nationality (Sorce et al. 2005).”
Personality determinants of online shopping : Explaining online purchase intentions using a hierarchical approach (2007, methodology): “…approaches are utilized including those based upon behavioral economics (c.f., Thompson and Yu, 2005), demographics and lifestyle analysis (c.f., Sorce et al., 2005; Alreck and Settle, 2002; Swaminathan, 2003), and online merchandising effects such as product recommendations and shopping lists…”
Hedonic Tendencies and the Online Consumer: An Investigation of the Online Shopping Process (2011, background): “Young consumers, like college students, are heavy Internet users and more likely than other age groups to have access to online media and to shop online (Lin 2001 ; Score, Perotti, and Widrick 2005 ; Gupta, Handa, and Gupta 2008 ).”