The Impact of the Internet on Information Search for Automobiles

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

doi:10.1509/jmkr.40.2.193.19221

Cited by 261 publications

(245 citation statements)

References 22 publications

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“…Research shows that search productivity is important to consumers (Ratchford et al, 2003). Productivity of seeking information certainly depends on the quality of information that consumers obtain.…”

Section: E-health Information Qualitymentioning

confidence: 99%

Gender Differences in The Use of Internet for Health Information Search

Yaşin¹,

Özen²

2011

eab

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Demand for health related information is expanding. People seeking health information have many options today. Internet is becoming an important source of information for health related activities in recent years because of its convenience and large capacity. Once consumers enter the domain of electronic health care information, the issue becomes determining the quality of the available information. How do consumers perceive the quality of online health information? This study addresses gender differences in Turkish consumer's perceptions regarding the quality of electronic health information on web sites. Research results showed that males and females differ by their e-health information quality perceptions. Main discriminating issues of males and females are related to helpfulness and safety of the online health information. Females are found to have higher e-health information quality perception than males.

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Section: E-health Information Qualitymentioning

confidence: 99%

Gender Differences in The Use of Internet for Health Information Search

Yaşin¹,

Özen²

2011

eab

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“…Our uninformed segment captures both the notion that some consumers engage in limited search because of high opportunity costs of time (see, e.g., Ratchford et al 2003) and that some consumers are loyal to a given retailer, perhaps because of satisfaction from previous purchases. 5 Thus, this segment of consumers is "less informed" because the individuals have a lower interest in acquiring information about prices and choose to be aware of the price at one firm only.…”

Section: Consumersmentioning

confidence: 99%

“…Based on these data sources, we vary the value of u , the size of the uninformed segment in our model, from 0 to 0.5. Further, Ratchford et al (2003) find that 40% of buyers used online sources (i.e., manufacturer and third-party websites). Based on this we vary the proportion of offline consumers, , from 0.6 to 1.…”

Section: Numerical Corroboration With Empirical Evidencementioning

confidence: 99%

The Impact of Internet Referral Services on a Supply Chain

Ghose

Mukhopadhyay

Rajan

2007

Information Systems Research

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I n many industries, Internet referral services, hosted either by independent third-party infomediaries or by manufacturers, serve as digitally enabled lead generators in electronic markets, directing consumer traffic to downstream retailers in a distribution network. This reshapes the extended enterprise from the traditional network of upstream manufacturers and downstream retailers to include midstream third-party and manufacturerowned referral services in the supply chain. We model competition between retailers in a supply chain with such digitally enabled institutions and consider their impact on the optimal contracts among the manufacturer, referral intermediary, and the retailers. Offline, retailers face a higher customer discovery cost. In return, they can engage in price discrimination based on consumer valuations. Online, they save on the discovery costs but lose the ability to identify consumer valuations. This critical trade-off drives firms' equilibrium strategies. We derive the optimal contracts for different entities in the supply chain and highlight how these contracts change with the entry of independent and manufacturer-owned referral services. The establishment of a referral service is a strategic decision by the manufacturer. It leads to diversion of supply chain profit from a third-party infomediary to the manufacturer. Further, it enables the manufacturer to respond to an infomediary, by giving itself greater flexibility in setting the unit wholesale fee to the profit-maximizing level. Both third-party and manufacturer-sponsored referral services play a critical role in enabling retailers to discriminate across consumers' different valuations. Retailers use online referral services to screen out low-valuation consumers and sell only to high-valuation consumers in the online channel. Our model thus endogenously derives a correlation between consumer valuation and online purchase behavior. Finally, we show that under some circumstances, it is too costly for the manufacturer to eliminate the referral infomediary.

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“…GT has been applied in a variety of research fields, including health care (Nuti et al, 2014), software engineering (Rech, 2007) and political science (Mellon, 2013(Mellon, , 2014. In epidemiological research, GT has been used to predict disease infections (Pelat, Turbelin, Bar-Hen, Flahault, & Valleron, 2009;Seifter, Schwarzwalder, Geis, & Aucott, 2010).…”

Section: Google Trendsmentioning

confidence: 99%