Images Of Online Versus Store Shopping: Have The Attitudes Of Men And Women, Young And Old Really Changed?

Abstract

This study examines the effect of the consumers' sex and age on their perceptions of the problems and the benefits of shopping and buying online, compared to doing so in a traditional retail store. Overall image profiles can be viewed, but the principal focus is on the similarities and differences between gender and age groups. Along with perceptions of problems and benefits of online buying, a direct comparison between store versus online buying sharply reveals the contrasts among men and women of different ages.

Mobile Healthcare Adoption among Patients in a Developing Country Environment: Exploring the Influence of Age and Gender Differences

“…In fact, quite extensively researchers worldwide have carried out a plethora of studies to understand how age impacts the adoption and acceptance processes of various IT systems and applications (Morris & Venkatesh, 2000;Venkatesh & Davis, 2000;Cutler et al, 2003;Hung et al, 2003;Venkatesh et al, 2003;Chang et al, 2005;Porter & Donthu, 2006;Liao et al, 2007;Zhou et al, 2007;Passyn et al, 2011;Fan & Miao, 2012;Ansary & Roushdy, 2013;Chong, 2013;Fonchamnyo, 2013). The results of these studies have clearly and significantly labeled that age differences play a considerable role in the decision-making process of information technologies adoption.…”

“…Fifth, studies in various IT domains have concluded that age differences have been widely recognized to play a decisive and impacting role in the decision-making process of a biometric adoption of information technologies (Venkatesh & Davis, 2000;Hung et al, 2003;Venkatesh et al, 2003;Chang et al, 2005;Porter & Donthu, 2006;Zhou et al, 2007;Passyn et al, 2011;Fan & Miao, 2012;Ansary & Roushdy, 2013). However, limited attention has been paid to explore the influence of age differences in the adoption of m-healthcare applications.…”

Deal or No Deal? - Asessing the Daily Deal Shopper

“…Surveying Internet users regarding online shopping [21,36], focusing on a specific product type [31,37,38], or focusing on a specific region or country [27,39,40] may explain the different numbers of segments found. Online and offline context may further explain why researchers found different numbers of segments, as these two purchasing environments are substantially different (see Passyn et al [41] for an overview of customer-perceived problems and benefits of the two scenarios).…”

Customer Preferences Related to Shopping Online

“…For example, Passyn et al [2011] identified the differences between shopping modes (traditional versus online) with regard to the age and gender of customers. In their studies, Rajamma et al [2007] tried to prove the thesis that customers choose a specific mode of shopping, because of their own conviction concerning the fact that it is better to buy a certain type of products using one or the other mode.…”

“…Studies of foreign literature have indicated that there are clear differences in online purchasing decision-making depending on customer age [e.g. Passyn et al 2011]. A review of the Polish literature on the subject has pointed to the existence of a research gaps in this area.…”