Comparing online and non‐online shoppers

Lokken, Sheri L.; Cross, Ginger W.; Halbert, Linda K.; Lindsey, Gail; Derby, Christy; Stanford, Carla Caldwell

doi:10.1046/j.1470-6431.2003.00292.x

Cited by 32 publications

(45 citation statements)

References 9 publications

(12 reference statements)

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“…Similar results were found in the paper that belongs to Hui and Wan (2006). According to Lokken et al (2003), there are persistent concerns about the security of online shopping which is valid for the "suspicious shoppers" segment found here.…”

Section: Discussionsupporting

confidence: 89%

“…The relevant literature includes studies which investigate the factors affecting online shopping (LIMAYEM et al, 2000), compare online and non-online shoppers (Lokken et al 2003), examine the shopping and buying behavior of younger and older online shoppers (Sorce et al, 2005) and identify the role of gender and educational level on the attitudes of Internet users (Hui and Wan, 2006). There are also papers which aim to profile internet buyers in different countries (Lynch and Beck, 2001) and to model how socio-demographic variables, attitudes and beliefs towards internet shopping affect both the adoption decision and usage of the online shopping channel (Soopramanien and Robertson, 2007).…”

Section: Segmentation Of Online Shoppersmentioning

confidence: 99%

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Segmentation Of Online Shoppers By Means Of An Integrated Data Mining Approach: A Case Study

Taşkin¹

2008

ISGUC

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Section: Discussionsupporting

confidence: 89%

Section: Segmentation Of Online Shoppersmentioning

confidence: 99%

Segmentation Of Online Shoppers By Means Of An Integrated Data Mining Approach: A Case Study

Taşkin¹

2008

ISGUC

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“…Apparently, this approach did sample participants with higher level of education than average population. That is in line with the findings by prior studies (Lokken et al, 2003;Nathan & Yeow, 2011), which found that online shoppers were more well-educated and technology savvy than average population.…”

Section: Empirical Data Collection -Participants and Proceduressupporting

confidence: 93%

Whether our Virtual Commercial Environments are Polite Enough or not? An Instrument for Gauging the Degree of Politeness in e-Tailers

Chen¹,

Hu²

2015

JBM

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Politeness issues in virtual commercial contexts received rare attention from both practitioners and researchers. This work developed an instrument for gauging degree of politeness in online retailers' storefronts. The instrument's reliability and validity were confirmed through empirical data analysis. A second-order confirmatory factor analysis revealed that online consumers' tendency in paying relative more attention to their rights being respected and gaining useful information while they are assessing online retailers' politeness. Using the instrument, online merchants and 3rd-parties can measure the degree of politeness in online retailers. In addition, patrons' tendency in paying more attention to particular factors while they were evaluating the politeness guides online merchants to allocate limited resources more efficiently. Besides its practical applications, this work sets a stage for future studies trying to investigate the relationships between the politeness construct and other constructs such as customer satisfaction, trust, repurchase intention, profitability, and others that interest business administrators. JEL Classifications: C3, L8, M1

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“…43 By far most of the popular products offered online have been discretionary items (for example, travel, holidays and entertainment) which are suitable for affl uent consumers with higher disposable incomes. 55 Higher income is also associated with access to faster internet which, in turn, has shown to facilitate online shopping decisions. 43,54 Meanwhile, the online literature has linked fi nancial risk to adoption behaviour as well.…”

Section: 47mentioning

confidence: 99%

Role of demographics, social connectedness and prior internet experience in adoption of online shopping: Applications for direct marketing

Naseri

Elliott²

2011

J Target Meas Anal Mark

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is a PhD candidate at Macquarie University. His research focuses on direct and database marketing, empirical model comparison and modelling diffusion of innovations. His research has been published in academic journals and proceedings of various international conferences. Currently Bakher holds managing position at a multinational telecommunication company. Greg Elliottis a professor of business (marketing) at Macquarie University. He has also held academic positions at a number of other Australian and overseas universities. He has published widely and his current research interests are in the fi elds of fi nancial services, international, cross-cultural and social marketing. He currently teaches marketing management, strategic marketing and services marketing. He has also had extensive experience in management education and training in Australian and Asia for major international and local companies.ABSTRACT The use of demographics by researchers in the online shopping literature is common, however, they are typically constructed as either moderators or control factors. Little attention has been given to explicitly modelling the predictive utility of demographics. The present research models the impact of nine demographics, six social connectedness measures and fi ve prior online experience variables on consumers ' actual online purchases. A large and representative data set was used. Our results show that a model on the basis demographic data alone explains 22.6 per cent of the variance in the consumers ' overall online shopping behaviour. The model ' s utility increased to 45.4 per cent once social connectedness and prior internet experience were added to the model. Furthermore, analysing 14 online product categories, we found that the predictive power of demographic variables is product specifi c. Overall, our results strongly support the use by practitioners of demographics as powerful predictors for direct targeting of online shoppers.

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Comparing online and non‐online shoppers

Cited by 32 publications

References 9 publications

Segmentation Of Online Shoppers By Means Of An Integrated Data Mining Approach: A Case Study

Segmentation Of Online Shoppers By Means Of An Integrated Data Mining Approach: A Case Study

Whether our Virtual Commercial Environments are Polite Enough or not? An Instrument for Gauging the Degree of Politeness in e-Tailers

Role of demographics, social connectedness and prior internet experience in adoption of online shopping: Applications for direct marketing

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