IDEAS home Printed from https://ideas.repec.org/a/eee/jouret/v86y2010i1p106-115.html
   My bibliography  Save this article

Online Shopper Motivations, and e-Store Attributes: An Examination of Online Patronage Behavior and Shopper Typologies

Author

Listed:
  • Ganesh, Jaishankar
  • Reynolds, Kristy E.
  • Luckett, Michael
  • Pomirleanu, Nadia

Abstract

e-Stores and online shopping have become important aspects of a retailer's strategy. Previous research suggests that online shoppers are fundamentally different from traditional offline shoppers. However, based on the Big Middle Theory (Levy et al. 2005), the authors believe that there are segments of online shoppers that are very similar to regular shopper groups. To determine this, online shopping motivations and e-store attribute importance measures are separately used as the basis to develop online shopper typologies. Results reveal that there are more similarities than differences among traditional and online store shoppers. However, there are a few unique shopper types present at online stores, attracted by the distinctive characteristics and attributes of the online retail environment. The findings offer interesting implications for online retail strategy.

Suggested Citation

  • Ganesh, Jaishankar & Reynolds, Kristy E. & Luckett, Michael & Pomirleanu, Nadia, 2010. "Online Shopper Motivations, and e-Store Attributes: An Examination of Online Patronage Behavior and Shopper Typologies," Journal of Retailing, Elsevier, vol. 86(1), pages 106-115.
    • Handle: RePEc:eee:jouret:v:86:y:2010:i:1:p:106-115
    DOI: 10.1016/j.jretai.2010.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0022435910000059
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretai.2010.01.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lee, Khai Sheang & Tan, Soo Jiuan, 2003. "E-retailing versus physical retailing: A theoretical model and empirical test of consumer choice," Journal of Business Research, Elsevier, vol. 56(11), pages 877-885, November.
    2. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
    3. Brengman, Malaika & Geuens, Maggie & Weijters, Bert & Smith, Scott M. & Swinyard, William R., 2005. "Segmenting Internet shoppers based on their Web-usage-related lifestyle: a cross-cultural validation," Journal of Business Research, Elsevier, vol. 58(1), pages 79-88, January.
    4. Rohm, Andrew J. & Swaminathan, Vanitha, 2004. "A typology of online shoppers based on shopping motivations," Journal of Business Research, Elsevier, vol. 57(7), pages 748-757, July.
    5. John G. Lynch , Jr. & Dan Ariely, 2000. "Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution," Marketing Science, INFORMS, vol. 19(1), pages 83-103, April.
    6. Garbarino, Ellen & Strahilevitz, Michal, 2004. "Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation," Journal of Business Research, Elsevier, vol. 57(7), pages 768-775, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahlert, Dieter & Evanschitzky, Heiner & Thesing, Miriam, 2006. "Kundentypologie in der Multikanalwelt: Ergebnisse einer Online- und Offline-Befragung," Working Papers 44, University of Münster, Competence Center Internet Economy and Hybrid Systems, European Research Center for Information Systems (ERCIS).
    2. Xu, Xun & Jackson, Jonathan E., 2019. "Examining customer channel selection intention in the omni-channel retail environment," International Journal of Production Economics, Elsevier, vol. 208(C), pages 434-445.
    3. Shu-Yi Liaw & Thi Mai Le, 2017. "Under Interruptive Effects of Rarity and Mental Accounting, Whether the Online Purchase Intention Can Still Be Enhanced Even with Higher Search Costs and Perceived Risk," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(8), pages 160-160, July.
    4. Molina-Castillo, Francisco-Jose & Lopez-Nicolas, Carolina & Soto-Acosta, Pedro, 2012. "Interaction effects of media and message on perceived complexity, risk and trust of innovative products," European Management Journal, Elsevier, vol. 30(6), pages 577-587.
    5. Wirawan Dony Dahana & HeeJae Shin & Sotaro Katsumata, 2018. "Influence of individual characteristics on whether and how much consumers engage in showrooming behavior," Electronic Commerce Research, Springer, vol. 18(4), pages 665-692, December.
    6. Rotem-Mindali, Orit, 2010. "E-tail versus retail: The effects on shopping related travel empirical evidence from Israel," Transport Policy, Elsevier, vol. 17(5), pages 312-322, September.
    7. Verstraeten, Julie & Heeremans, Eva & Geuens, Maggie & Vermeir, Iris, 2023. "How online grocery shopping drives private label food purchases," Journal of Business Research, Elsevier, vol. 167(C).
    8. Doris Morales-Solana & Irene Esteban-Millat & Alejandro Alegret Cotas, 2022. "Experiences in consumer flow in online supermarkets," Electronic Commerce Research, Springer, vol. 22(4), pages 1195-1226, December.
    9. Hou, Jianwei & Elliott, Kevin, 2014. "How do online bidders differ from non-bidders?," Journal of Retailing and Consumer Services, Elsevier, vol. 21(1), pages 18-25.
    10. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    11. Alrawad, Mahmaod & Lutfi, Abdalwali & Alyatama, Sundus & Al Khattab, Adel & Alsoboa, Sliman S. & Almaiah, Mohammed Amin & Ramadan, Mujtaba Hashim & Arafa, Hussin Mostafa & Ahmed, Nazar Ali & Alsyouf, , 2023. "Assessing customers perception of online shopping risks: A structural equation modeling–based multigroup analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    12. Silvina Santana & Sandra Loureiro, 2010. "Assessing Benefits And Risks Of Online Shopping In Spain And Scotland," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 161-172.
    13. Xiaolin Lin & Mauricio Featherman & Stoney L. Brooks & Nick Hajli, 2019. "Exploring Gender Differences in Online Consumer Purchase Decision Making: An Online Product Presentation Perspective," Information Systems Frontiers, Springer, vol. 21(5), pages 1187-1201, October.
    14. Banerjee, Arindam & Banerjee, Tanushri, 2016. "Web Content Analysis of Online Grocery Shopping Web Sites in India," IIMA Working Papers WP2016-03-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    15. Kim, Jikyung (Jeanne) & Song, Hyeasinn & Choi, Jeonghye & Kim, Yongseob & Hong, Jeonghan, 2021. "Channel stickiness in the shopping journey for electronics: Evidence from China and South Korea," Journal of Business Research, Elsevier, vol. 130(C), pages 506-516.
    16. Suhail Ahmad Bhat & Mushtaq Ahmad Darzi, 2019. "Exploring the Influence of Consumer Demographics on Online Purchase Benefits," FIIB Business Review, , vol. 8(4), pages 303-316, December.
    17. Chiang, Lan-Lung (Luke) & Yang, Chin-Sheng, 2018. "Does country-of-origin brand personality generate retail customer lifetime value? A Big Data analytics approach," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 177-187.
    18. Bressolles, Grégory & Durrieu, François & Senecal, Sylvain, 2014. "A consumer typology based on e-service quality and e-satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 889-896.
    19. Aghekyan-Simonian, Mariné & Forsythe, Sandra & Suk Kwon, Wi & Chattaraman, Veena, 2012. "The role of product brand image and online store image on perceived risks and online purchase intentions for apparel," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 325-331.
    20. Yang, Seungmi & Kwon, Youngsun, 2022. "Effects of mobile networks and Covid-19 on mobile shopping sales in South Korea," Telecommunications Policy, Elsevier, vol. 46(9).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jouret:v:86:y:2010:i:1:p:106-115. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.