A Model of Consumer Choice of the Internet as an Information Source

Ratchford, Brian T.; Talukdar, Debabrata; Lee, Myung‐Soo

doi:10.1080/10864415.2001.11044217

Cited by 212 publications

(156 citation statements)

References 10 publications

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“…They found that marital status has no effect on purchase behavior and found mixed results based upon gender (except for specific gender-related products), years on the internet and age. Other studies report those e-commerce purchasers are younger, more educated and have higher income than do non e-commerce purchases (Ratchford, Talukdar and Lee, 2001). Korgaonkar and Wolin (1999) found that motivational factors as well as age and gender impacted the likelihood of online purchasing.…”

Section: Factors Affecting Attitude Toward Online Purchasing Behaviormentioning

confidence: 99%

“…This pricing strategy contrast with conventional retail channels where pricing changes are traditionally performed over the course of weeks or months (Kannan and Kopalle, 2001). Shopping experience is a mixture of, lifestyle compatibility, effort playfulness and fun (Goldsmith, 2000;Liu, et al, 2001;Ratchford, et al, 2001). When engaged in e-commerce purchases over the internet, effort is primarily a mental activity; shoppers work at their keyboard instead of having to plan for and travel to multiple shopping sites.…”

Section: Purchase Perception Towards Online Purchasing Behaviormentioning

confidence: 99%

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Undergraduates and Online Purchasing Behavior

Osman

Yin-Fah²,

Choo³

2010

ASS

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This study examined the attitude towards online purchasing behavior among UPM students. A purposive sampling method was used and the sample comprised of 100 students who studying at Universiti Putra Malaysia (UPM). Data were collected via self-administered questionnaire. The questionnaire consisted of four sections: respondents' socio-demographic background, attitude, purchase perception and website quality. Results indicated that majority of respondents had moderate level of purchase perception and website quality towards online purchasing. Pearson correlation was used to measure the relationship between age, purchase perception, website quality and attitude towards online purchasing behavior. The finding revealed that purchase perception and website quality were significant relationship with attitude towards online purchasing behavior. However the finding showed that age has no significant relationship with attitude towards online purchasing behavior. The result of the study showed that there was a significant difference in attitude towards online purchasing behavior by gender and education background. The study concluded that gender, education background, purchase perception and website quality have directly influence on attitude towards online purchasing behavior. Further studies should explore other factors that influence attitude towards online purchasing behavior with a broader range of population and higher representativeness sampling method.

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Section: Factors Affecting Attitude Toward Online Purchasing Behaviormentioning

confidence: 99%

Section: Purchase Perception Towards Online Purchasing Behaviormentioning

confidence: 99%

Undergraduates and Online Purchasing Behavior

Osman

Yin-Fah²,

Choo³

2010

ASS

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“…We nd that the market entry of aggregators increases competition among content sites, for similar reasons. Other work (Ratchford et al 2001;Johnson et al 2004) has found that consumer search costs are aected by familiarity with the network and with a particular site. In this paper we do not specically address consumer expertise, but it is one potential consumer motivation behind the notion of anchor sites that we will discuss in the next Section.…”

mentioning

confidence: 99%

Media, Aggregators, and the Link Economy: Strategic Hyperlink Formation in Content Networks

2013

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A dening property of the World Wide Web is a content site's ability to place virtually costless hyperlinks to third-party content as a substitute or complement to its own content. Costless hyper-linking has enabled new types of players, usually referred to as content aggregators, to successfully enter content ecosystems, attracting trac and revenue by hosting links to the content of others. This, in turn, has sparked a heated controversy between content creators and aggregators regarding the legitimacy and social costs/benets of uninhibited free linking.This work is the rst to model the complex interplay between content and links in settings where a set of sites compete for trac. We develop a series of analytical models that distill how hyperlinking aects (a) the incentives of content nodes to produce quality content vs. link to third-party content, (b) the prots of the various stakeholders, (c) the average quality of content that becomes available to consumers, and (d) the impact of content aggregators. Our results provide a nuanced view of the, so called, link economy, highlighting both the benecial consequences and the drawbacks of free hyperlinks for content creators and consumers.

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“…According to their study marital status had no effect on purchase intentions of consumers and found mixed results for other characteristics. A study by Ratchford, Talukdar, & Lee, 2001 concluded that online shoppers are younger and they are more educated as well as earn higher income than conventional buyers. 75% of internet shoppers say that they use internet for shopping but yet they have not made any online purchase (Udo& Marquis, [2001][2002].…”

Section: Review Of Literaturementioning

confidence: 99%