Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping

Farag, Sendy; Schwanen, Tim; Dijst, Martin; Faber, Jan

doi:10.1016/j.tra.2006.02.003

Cited by 266 publications

(302 citation statements)

References 22 publications

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“…There is also a broad range of literature focusing on the effect of a consumer's internet shopping history on future purchases over the internet (Bilgihan, 2016;Brown et al, 2003;Chang et al, 2005;Farag et al, 2007;Ling et al, 2010;Shim et al, 2001;Teo and Yu, 2005). The majority of these studies found that prior online purchases can influence the willingness to buy goods online again.…”

Section: Prior Experiences With E-commercementioning

confidence: 99%

E-commerce in agriculture – The case of crop protection product purchases in a discrete choice experiment

Fecke

Danne

Mußhoff

2018

Computers and Electronics in Agriculture

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu Terms of use: Documents in AbstractThe internet is playing an increasing role in the development of rural areas. For farmers in particular, reliable internet access creates opportunities concerning farm management decisions. Hence, the goal of this study was to investigate German farmers' willingness to buy inputs online. Primary data was collected by conducting a discrete choice experiment about the purchase of crop protection products. Selection decisions of 165 arable farmers were analyzed by a generalized multinomial logit model (GMNL) resulting in willingness to accept (WTA) space estimation. WTA estimates show that farmers are willing to switch to an online merchant if they are offered a significantly lower price. However, word-of-mouth-reputation and consultation offered via traditional media do not influence farmers' WTA for an online merchant. In contrast, delivery time significantly affects farmers' WTA for inputs purchased online. We also show that farmers' risk attitudes, prior online shopping experiences, and education are influential factors for the WTA for an online merchant. Surprisingly, age and farm size do not impact farmers' WTA. Since e-commerce has not been widely established in agriculture yet, these results are of great practical importance. The findings of this study give online merchants of agricultural inputs a first orientation for choosing appropriate marketing measures. Moreover, results are interesting for education policy.

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Section: Prior Experiences With E-commercementioning

confidence: 99%

E-commerce in agriculture – The case of crop protection product purchases in a discrete choice experiment

Fecke

Danne

Mußhoff

2018

Computers and Electronics in Agriculture

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“…Thirdly, we almost completely ignored the links between ICT and accessibility, but these will very likely become increasingly important. For example, e-shopping may increasingly become a substitute for visiting shops (Farag et al 2007). Fourthly, it makes sense to not simply count the number of opportunities, but to weight them according to how attractive they are.…”

Section: Options To Extend Our Conceptualizationmentioning

confidence: 99%

Accessibility measures for robustness of the transport system

Liao

Wee

2016

Transportation

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Accessibility is a key concept in transport and land use policies, and infrastructure-based measures are one important category of accessibility measures. Recently, there has been a significant increase in the attention paid in both academic literature and policy documents to the robustness of the transport system. However, there is not a mature body of literature on the infrastructure-based accessibility measures expressing this concept. This paper proposes a family of accessibility measures to express the robustness of the transport system. These have in common that they express the number of travel options between a given origin and destination, or to conduct activities. The family of measures is conceptualized by using the multi-state supernetwork approach. With respect to the travel options, we discuss (1) the overlap of travel routes, and (2) the choices of travel modes (e.g. car versus train; multimodal). With respect to the activities, we discuss (1) the choice of OD pairs as opposed to activity-travel patterns, and (2) fixed versus flexible activity locations and fixed versus flexible order of activities. We illustrate the travel options and robustness in a multi-modal transport system between the city centers of the HagueRotterdam-Dordrecht corridor (The Netherlands).

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“…It is found that consumers consider online shopping and catalog shopping to be closer substitutes than any other pair of channels. Farag et al (2007) developed a model which analysis relationships between e-shopping and in-store shopping. One of the main contributions of their study is; who frequently search online makes more non-daily shopping trips, and that frequent instore shoppers are frequent online buyers.…”

Section: Literature Review and Conceptual Framework Of Researchmentioning

confidence: 99%

“…Barkhi et al (2008) Main assumption of the study is that a person will prefer online shopping or traditional shopping. It is known and suggested that both of these channels are complementary (Farag et al, 2007;Avery et al, 2012). But at data collection phase brick and mortar buyers (who have never used e-shopping) divided precisely from traditional buyers.…”

Section: Literature Review and Conceptual Framework Of Researchmentioning

confidence: 99%