IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v22y2015icp213-222.html
   My bibliography  Save this article

Creating customer repurchase intention in Internet retailing: The effects of multiple service events and product type

Author

Listed:
  • Cho, Yun Kyung

Abstract

Internet retailing literature shows that customers׳ experience with a retailer׳s website and order fulfillment separately influence repurchase intention. This study examines these two experiences׳ interactive effects on repurchase intention. Our research model includes a product type as a moderator, because the type of product can likewise affect a customer׳s experience with the retailer׳s website and order fulfillment. Results of multiple-group structural equation modeling (SEM) from customer reviews of 306 Internet retailers demonstrate that the interactive effects of a web site experience and order fulfillment are significant. In the interactive mechanism, order fulfillment experience is proven to serve as a proximal cause of repurchase intention. The moderating role of product type is significant as well. This finding suggests that practitioners should have unmatched measures for retailing different types of goods.

Suggested Citation

  • Cho, Yun Kyung, 2015. "Creating customer repurchase intention in Internet retailing: The effects of multiple service events and product type," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 213-222.
    • Handle: RePEc:eee:joreco:v:22:y:2015:i:c:p:213-222
    DOI: 10.1016/j.jretconser.2014.11.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698914001520
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2014.11.002?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. Gao, Lingling & Bai, Xuesong, 2014. "Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 653-665.
    2. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    3. Shobeiri, Saeed & Laroche, Michel & Mazaheri, Ebrahim, 2013. "Shaping e-retailer’s website personality: The importance of experiential marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 20(1), pages 102-110.
    4. Park, Cheol & Lee, Thae Min, 2009. "Information direction, website reputation and eWOM effect: A moderating role of product type," Journal of Business Research, Elsevier, vol. 62(1), pages 61-67, January.
    5. Loureiro, Sandra Maria Correia & Roschk, Holger, 2014. "Differential effects of atmospheric cues on emotions and loyalty intention with respect to age under online/offline environment," Journal of Retailing and Consumer Services, Elsevier, vol. 21(2), pages 211-219.
    6. Amery Wu & Bruno Zumbo, 2008. "Understanding and Using Mediators and Moderators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 87(3), pages 367-392, July.
    7. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    8. Mummalaneni, Venkatapparao, 2005. "An empirical investigation of Web site characteristics, consumer emotional states and on-line shopping behaviors," Journal of Business Research, Elsevier, vol. 58(4), pages 526-532, April.
    9. Pei, Zhi & Paswan, Audhesh & Yan, Ruiliang, 2014. "E-tailer׳s return policy, consumer׳s perception of return policy fairness and purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 21(3), pages 249-257.
    10. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    11. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    12. Klein, Lisa R., 1998. "Evaluating the Potential of Interactive Media through a New Lens: Search versus Experience Goods," Journal of Business Research, Elsevier, vol. 41(3), pages 195-203, March.
    13. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    14. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    15. Vicki McKinney & Kanghyun Yoon & Fatemeh “Mariam” Zahedi, 2002. "The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach," Information Systems Research, INFORMS, vol. 13(3), pages 296-315, September.
    16. Gregory R. Heim & Kingshuk K. Sinha, 2001. "Operational Drivers of Customer Loyalty in Electronic Retailing: An Empirical Analysis of Electronic Food Retailers," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 264-271, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Davari, Arezoo & Iyer, Pramod & Rokonuzzaman, Md, 2016. "Identifying the determinants of online retail patronage: A perceived-risk perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 186-193.
    2. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    3. Schnurr, Benedikt & Wetzels, Martin, 2020. "The conditional enjoyment-enhancing effect of shipping box aesthetics," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    4. Vyt, Dany & Jara, Magali & Mevel, Olivier & Morvan, Thierry & Morvan, Nélida, 2022. "The impact of convenience in a click and collect retail setting: A consumer-based approach," International Journal of Production Economics, Elsevier, vol. 248(C).
    5. Nadeem, Waqar & Al-Imamy, Saifeddin, 2020. "Do ethics drive value co-creation on digital sharing economy platforms?," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    6. Dany Vyt & Magali Jara & Olivier Mevel & Thierry Morvan & Nélida Morvan, 2022. "The impact of convenience in a click and collect retail setting: A consumer-based approach," Post-Print halshs-03624658, HAL.
    7. Zhi Yang & Quang Van Ngo & Yaguang Chen & Chung Xuan-Thi Nguyen & Hoa Thi Hoang, 2019. "Does Ethics Perception Foster Consumer Repurchase Intention? Role of Trust, Perceived Uncertainty, and Shopping Habit," SAGE Open, , vol. 9(2), pages 21582440198, May.
    8. Mondal, Jalaluddin & Chakrabarti, Somnath, 2021. "Insights and anatomy of brand experience in app-based retailing (eRBX): Critical play of physical evidence and enjoyment," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).

    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. Christophe Bezes, 2009. "E-Commerce Website Evaluation: A Critical Review," Working Papers hal-00611008, HAL.
    2. Ozkara, Behcet Yalin & Ozmen, Mujdat & Kim, Jong Woo, 2017. "Examining the effect of flow experience on online purchase: A novel approach to the flow theory based on hedonic and utilitarian value," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 119-131.
    3. Yili (Kevin) Hong & Paul A. Pavlou, 2014. "Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents," Information Systems Research, INFORMS, vol. 25(2), pages 328-344, June.
    4. Ageeva, Elena & Melewar, T.C. & Foroudi, Pantea & Dennis, Charles, 2019. "Cues adopted by consumers in examining corporate website favorability: An empirical study of financial institutions in the UK and Russia," Journal of Business Research, Elsevier, vol. 98(C), pages 15-32.
    5. (Daisy) Lyu, Jing & Krasonikolakis, Ioannis & Vrontis, Demetris, 2022. "A systematic literature review of store atmosphere in alternative retail commerce channels," Journal of Business Research, Elsevier, vol. 153(C), pages 412-427.
    6. Tibert Verhagen & Daniel Bloemers, 2018. "Exploring the cognitive and affective bases of online purchase intentions: a hierarchical test across product types," Electronic Commerce Research, Springer, vol. 18(3), pages 537-561, September.
    7. Wiryanta Muljono & Sri Setiyawati, 2019. "The growth of e-commerce has highlighted the importance of express courier service (ECS). We empirically study consumer’s choice of ECS in purchasing goods online. This research aims to examine the ef," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(9), pages 42-57.
    8. Breeda Comyns & Frank Figge & Tobias Hahn & Ralf Barkemeyer, 2013. "Sustainability reporting: The role of “Search”, “Experience” and “Credence” information," Accounting Forum, Taylor & Francis Journals, vol. 37(3), pages 231-243, September.
    9. Hyeon-Cheol Kim & Sumi Kim & Zong-Yi Zhu, 2021. "Does Foreign Language Proficiency Help to Enhance Sustainable Online Brand Community Experiences? Modeling the Predictors of Movie Information Sharing Behavior for Young Chinese Students Staying in Ko," Sustainability, MDPI, vol. 13(11), pages 1-12, May.
    10. Wu, Ing-Long, 2013. "The antecedents of customer satisfaction and its link to complaint intentions in online shopping: An integration of justice, technology, and trust," International Journal of Information Management, Elsevier, vol. 33(1), pages 166-176.
    11. 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.
    12. Krishna Akalamkam & Joy Kumar Mitra, 2018. "Consumer Pre-purchase Search in Online Shopping: Role of Offline and Online Information Sources," Business Perspectives and Research, , vol. 6(1), pages 42-60, January.
    13. Algharabat, Raed & Abdallah Alalwan, Ali & Rana, Nripendra P. & Dwivedi, Yogesh K., 2017. "Three dimensional product presentation quality antecedents and their consequences for online retailers: The moderating role of virtual product experience," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 203-217.
    14. Gao, Lingling & Bai, Xuesong, 2014. "Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 653-665.
    15. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.
    16. Dan Huang & Zhiyong Li & Jian Mou & Xinyi Liu, 0. "Effects of flow on young Chinese consumers’ purchase intention: a study of e-servicescape in hotel booking context," Information Technology & Tourism, Springer, vol. 0, pages 1-26.
    17. Brown, Susan A. & Venkatesh, Viswanath & Kuruzovich, Jason & Massey, Anne P., 2008. "Expectation confirmation: An examination of three competing models," Organizational Behavior and Human Decision Processes, Elsevier, vol. 105(1), pages 52-66, January.
    18. Broekhuizen, Thijs L.J. & Jager, Wander, 2004. "A conceptual model of channel choice: measuring online and offline shopping value perceptions," Research Report 04F04, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    19. Taylor, David G. & Strutton, David, 2010. "Has e-marketing come of age? Modeling historical influences on post-adoption era Internet consumer behaviors," Journal of Business Research, Elsevier, vol. 63(9-10), pages 950-956, September.
    20. Chen, Yi-Mu & Hsu, Tsuen-Ho & Lu, Yu-Jou, 2018. "Impact of flow on mobile shopping intention," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 281-287.

    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:joreco:v:22:y:2015:i:c:p:213-222. 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-and-consumer-services .

    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.