New media economics are transforming consumer relations

Boscheck, Ralf

doi:10.1016/s0024-6301(98)80023-x

Cited by 3 publications

(6 citation statements)

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“…It has been referred to as Internet retailing, e-retailing, or e-tailing (Anderson 2000), as part of interactive home shopping (Alba et al 1997), and by the broader terms electronic commerce (Daniel and Klimis 1999), e-commerce (Boscheck 1998) and electronic markets (Benjamin and Wigand 1995), all of which are part of the network economy (Achrol and Kotler 1999). For the purposes of this article, the terms Internet retailing, e-retailing and e-tailing are synonymous.…”

Section: The Nature Of Internet Retailingmentioning

confidence: 99%

“…New challenges have faced Internet retailers in the area of privacy (Krauss 2000;Boscheck 1998) particularly regarding credit card information, and the use of the masses of customer information that can be generated. Because security (the concern for privacy) is an issue with consumers (Boscheck 1998) then it would be helpful to know if security issues form an underlying factor that differentiates between Internet retailers.…”

Section: The Nature Of Internet Retailingmentioning

confidence: 99%

“…Because security (the concern for privacy) is an issue with consumers (Boscheck 1998) then it would be helpful to know if security issues form an underlying factor that differentiates between Internet retailers.…”

Section: The Nature Of Internet Retailingmentioning

confidence: 99%

“…Because of the nature of the Internet, the shopping experience lacks the attributes of instant gratification, ambience and direct inspection (Boscheck 1998). In an attempt to overcome these competitive disadvantages with traditional retailing, e-retailers have offered a variety of transportation choices as well as some perceptual experiences and interaction, and often comparable pricing (Boscheck 1998;Peterson et al 1997).…”

Section: The Nature Of Internet Retailingmentioning

confidence: 99%

“…In an attempt to overcome these competitive disadvantages with traditional retailing, e-retailers have offered a variety of transportation choices as well as some perceptual experiences and interaction, and often comparable pricing (Boscheck 1998;Peterson et al 1997). The Internet, however, allows for greater asset specificity and product complexity (Daniel and Klimis 1999) in many cases.…”

Section: The Nature Of Internet Retailingmentioning

confidence: 99%

See 4 more Smart Citations

A Typology of Internet Retailing

Mottner

Thelen

Karande

2002

Journal of Marketing Channels

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Dissimilar to non-electronic retailing, Internet retailing does not have well-developed typologies that identify underlying factors for differentiating on-line participants. Development of a typology for Internet retailers allows researchers to more fully understand channel dimensions and provide researchers with a tool for tracking and predicting the structure of Internet retailing. This study fulfills this need by combining both existing retailing attributes and unique features of e-retailing to appraise a representative sample of Internet retailers. Examining 152 Internet retailing sites utilizing 32 attributes, seven underlying differentiating factors were found to identify three significant clusters of Internet retailers. These three primary types of Internet retailers are: (1) Developed Intermediaries, (2) Product Focused, and (3) Micro-Segment Focused. The strongest differentiator of sites was the size and scope of the product assortment just as with non-electronic retailing. However specific Internet retailing attributes of site service level,

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Section: The Nature Of Internet Retailingmentioning

confidence: 99%

Section: The Nature Of Internet Retailingmentioning

confidence: 99%

Section: The Nature Of Internet Retailingmentioning

confidence: 99%

Section: The Nature Of Internet Retailingmentioning

confidence: 99%

Section: The Nature Of Internet Retailingmentioning

confidence: 99%

See 3 more Smart Citations

A Typology of Internet Retailing

Mottner

Thelen

Karande

2002

Journal of Marketing Channels

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Effect of Perceived Attributes, Perceived Risk and Perceived Value on Usage of Online Retailing Services

Mwencha

Muathe²,

Thuo³

2014

jmr

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This study sought to establish the effect of perceived attributes, perceived risk and perceived value on usage of online retailing services in Nairobi, Kenya. It employed a descriptive, correlational, survey design whereby a sample of 391 respondents who are registered users of 6 online retailing services in Nairobi, Kenya was selected using multi-stage sampling methods. Primary data was collected using an electronic questionnaire instrument, while secondary data was collected via a review of relevant records and documents. The data was analyzed using both descriptive as well as inferential statistics. Results show that all three perceptual factors have a significant effect on the usage of online retailing services.

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Customers’ Perceptions as an Antecedent of Satisfaction with Online Retailing Services

Misiani¹,

Muathe²

2018

JMCBEM

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The assessment of antecedents of customer satisfaction has become very important for the success of online retailing services. This paper reports the results of a study that investigated the antecedent role of customers' perceptions visa -vis satisfaction with online retailing services. While the study model conceptualizes customers' perceptions as a composite variable made up of three dimensions (perceived attributes, perceived risk and perceived value) prescribed by four established information systems (IS) and consumer behaviour frameworks, namely the Technology Acceptance Model (TAM), Perceived Risk Theory (PRT), Theory of Consumption Values (TCV) and Expectations-Artifact Model of Satisfaction (EAMS), it does not specify how the different perceptual factors infl uence online satisfaction; instead it aggregates all three dimensions into a higher-order construct called "customers' perceptions" and tries to understand the nature of relationship between the composite independent variable and the dependent variable. It employed a descriptive, correlational survey design whereby the response data collected from 240 registered users of 6 online retailers was analyzed using both descriptive as well as inferential statistics. The linear regression analyses indicate that the model provides a statistically signifi cant explanation of the variation in consumers' online retailing satisfaction. The study also found empirical support for customers' perceptions as an antecedent of satisfaction with online retailing services.

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New media economics are transforming consumer relations

Cited by 3 publications

References 0 publications

A Typology of Internet Retailing

A Typology of Internet Retailing

Effect of Perceived Attributes, Perceived Risk and Perceived Value on Usage of Online Retailing Services

Customers’ Perceptions as an Antecedent of Satisfaction with Online Retailing Services

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