Factors affecting young consumers' e-shopping frequency

F. Calisir*, C. A. Gumussoy, M. Durucu, A. Bal

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Using data collected from a sample of 260 university students, this study attempts to examine the relationships between the frequency of e-shopping and university respondents' demographic characteristics, the reasons for e-shopping non-usage and usage. In addition, the product differences bought through the Internet is examined. The results suggest the frequency of e-shopping is affected mostly by the factor "e-shopping provides a shopping opportunity without waiting in line and without getting tired." Also, "encouragement and discount opportunities," "do not want to give credit card information due to security concerns", "do not need", "mistrust to delivery, return or complaint and troubleshooting systems" and age were found to be predictors of frequency of e-shopping. Also, the study revealed that consumers mostly learn about e-shopping web sites through family recommendation and search engines. Consumers mostly prefer to buy books and match tickets through the Internet. This study concludes with a discussion of development of a model that predicts factors affecting the frequency of e-shopping and recommendations for future research areas.

Original languageEnglish
Title of host publicationMCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings e-Commerce 2008
Pages78-85
Number of pages8
Publication statusPublished - 2008
Evente-Commerce 2008, MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems - Amsterdam, Netherlands
Duration: 25 Jul 200827 Jul 2008

Publication series

NameMCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings e-Commerce 2008

Conference

Conferencee-Commerce 2008, MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems
Country/TerritoryNetherlands
CityAmsterdam
Period25/07/0827/07/08

Keywords

  • e-shopping
  • Regression
  • University students

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