IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v46y2022i3s0308596121001828.html
   My bibliography  Save this article

How offline retailers adopt O2O: Neighboring star shops and their proximity effect

Author

Listed:
  • Ryu, Min Ho
  • Kim, Eunhye
  • Lee, Sang Yup

Abstract

For small to mid-sized offline retailers, a new e-commerce model called online-to-offline (O2O) enables the integration of physical and online channels through a platform-based aggregator. However, many offline stores are still reluctant to accept O2O. This study investigates how the existence of a neighboring star shop(s), defined as a shop that has generated large revenues in the early stage of O2O adoption, and the proximity to the neighboring star shops in offline settings matter in the initial adoption of O2O. We applied the Cox proportional hazard model, based on operating data from Naver Shop Window, an O2O service in South Korea. Our results show the existence of a neighboring star shop and the distance to it in offline settings are major determinants of O2O adoption. This study extends the academic discussions on the opinion leader's role in the offline environment to the O2O environment and provides strategic implications for practitioners who want to spread O2O.

Suggested Citation

  • Ryu, Min Ho & Kim, Eunhye & Lee, Sang Yup, 2022. "How offline retailers adopt O2O: Neighboring star shops and their proximity effect," Telecommunications Policy, Elsevier, vol. 46(3).
  • Handle: RePEc:eee:telpol:v:46:y:2022:i:3:s0308596121001828
    DOI: 10.1016/j.telpol.2021.102278
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596121001828
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.telpol.2021.102278?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. Cho, Youngsang & Hwang, Junseok & Lee, Daeho, 2012. "Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 97-106.
    2. Herhausen, Dennis & Binder, Jochen & Schoegel, Marcus & Herrmann, Andreas, 2015. "Integrating Bricks with Clicks: Retailer-Level and Channel-Level Outcomes of Online–Offline Channel Integration," Journal of Retailing, Elsevier, vol. 91(2), pages 309-325.
    3. Lee, Searom & Lee, Sang Yup & Ryu, Min Ho, 2019. "How much are sellers willing to pay for the features offered by their e-commerce platform?," Telecommunications Policy, Elsevier, vol. 43(10).
    4. Hui Li & Qiaowei Shen & Yakov Bart, 2018. "Local Market Characteristics and Online-to-Offline Commerce: An Empirical Analysis of Groupon," Management Science, INFORMS, vol. 64(4), pages 1860-1878, April.
    5. Zhang, Sha & Pauwels, Koen & Peng, Chenming, 2019. "The Impact of Adding Online-to-Offline Service Platform Channels on Firms' Offline and Total Sales and Profits," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 115-128.
    6. Chin-Lung Hsu & Judy Chuan-Chuan Lin, 2020. "Understanding continuance intention to use online to offline (O2O) apps," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 883-897, December.
    7. Agrawal, Ajay & Kapur, Devesh & McHale, John, 2008. "How do spatial and social proximity influence knowledge flows? Evidence from patent data," Journal of Urban Economics, Elsevier, vol. 64(2), pages 258-269, September.
    8. Leal, Gabriela Pasinato Alves & Hor-Meyll, Luis Fernando & de Paula Pessôa, Luís Alexandre Grubits, 2014. "Influence of virtual communities in purchasing decisions: The participants' perspective," Journal of Business Research, Elsevier, vol. 67(5), pages 882-890.
    9. Yunji Moon & Deborah J. Armstrong, 2020. "Service quality factors affecting customer attitudes in online-to-offline commerce," Information Systems and e-Business Management, Springer, vol. 18(1), pages 1-34, March.
    10. Kang, Dayoung & Kim, Seongcheol, 2018. "The Effects of O2O Service Factors on Sequel Service Adoption: O2O Service Quality Dimensions and Perceived Fit," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190356, International Telecommunications Society (ITS).
    11. Jiang Ping Wan & Ya Hui Zhu & Qiao Wen Jiang, 2019. "Study on core essential elements for O2O business model with value net theory," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 20(3), pages 215-244.
    12. Burnkrant, Robert E & Cousineau, Alain, 1975. "Informational and Normative Social Influence in Buyer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(3), pages 206-215, December.
    13. Ryu, Min Ho & Cho, Yongsun & Lee, Daeho, 2019. "Should small-scale online retailers diversify distribution channels into offline channels? Focused on the clothing and fashion industry," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 74-77.
    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. Ting-Chung Huang & Chien-Ta Ho, 2023. "Are Customers Always Right? The Importance of Sincerity and Keenness in Creating Retail Sustainable Development," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    2. Pinyi Yao & Syuhaily Osman & Mohamad Fazli Sabri & Norzalina Zainudin, 2022. "Consumer Behavior in Online-to-Offline (O2O) Commerce: A Thematic Review," Sustainability, MDPI, vol. 14(13), pages 1-24, June.

    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. Cai, Ya-Jun & Lo, Chris K.Y., 2020. "Omni-channel management in the new retailing era: A systematic review and future research agenda," International Journal of Production Economics, Elsevier, vol. 229(C).
    2. Neslin, Scott A., 2022. "The omnichannel continuum: Integrating online and offline channels along the customer journey," Journal of Retailing, Elsevier, vol. 98(1), pages 111-132.
    3. Fong, Cher-Min & Chang, Hsing-Hua Stella & Lin, Mong-Ching & Chen, I-Hung, 2022. "Reexamining emerging market animosity toward western developed countries: A social dilemma in physical retailing consumption under normative influence," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    4. Mencarelli, Rémi & Rivière, Arnaud & Lombart, Cindy, 2021. "Do myriad e-channels always create value for customers? A dynamic analysis of the perceived value of a digital information product during the usage phase," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    5. Maier, Erik & Bornschein, Rico & Manss, Rico & Hesse, Damian, 2023. "Financial consequences of adding bricks to clicks," International Journal of Research in Marketing, Elsevier, vol. 40(3), pages 609-628.
    6. Pinyi Yao & Syuhaily Osman & Mohamad Fazli Sabri & Norzalina Zainudin, 2022. "Consumer Behavior in Online-to-Offline (O2O) Commerce: A Thematic Review," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    7. Bo-Chiuan Su & Li-Wei Wu & Ying-Chi Yen, 2021. "Antecedents and Consequences of Trust and Loyalty in Physical Banks Affecting Mobile Payments," Sustainability, MDPI, vol. 13(22), pages 1-27, November.
    8. Timoumi, Ahmed & Gangwar, Manish & Mantrala, Murali K., 2022. "Cross-channel effects of omnichannel retail marketing strategies: A review of extant data-driven research," Journal of Retailing, Elsevier, vol. 98(1), pages 133-151.
    9. Qiliang Mao & Xianzhuang Mao, 2021. "Cultural barriers, institutional distance, and spatial spillovers: Evidence from regional industrial evolution in China," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1440-1481, September.
    10. Kim, Jeeyeon & Kim, Mingyung & Choi, Jeonghye & Trivedi, Minakshi, 2019. "Offline social interactions and online shopping demand: Does the degree of social interactions matter?," Journal of Business Research, Elsevier, vol. 99(C), pages 373-381.
    11. Albert Banal-Estañol & Inés Macho-Stadler & David Pérez-Castrillo, 2013. "Endogeneous matching in university-industry collaboration: Theory and empirical evidence from the UK," Economics Working Papers 1379, Department of Economics and Business, Universitat Pompeu Fabra.
    12. Lorenzo Cassi & Anne Plunket, 2014. "Proximity, network formation and inventive performance: in search of the proximity paradox," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 395-422, September.
    13. Bangwool Han & Minho Kim, 2019. "Hofstede’s Collectivistic Values and Sustainable Growth of Online Group Buying," Sustainability, MDPI, vol. 11(4), pages 1-15, February.
    14. Keith Head & Yao Amber Li & Asier Minondo, 2019. "Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 713-727, October.
    15. Diemer, Andreas & Regan, Tanner Weldon Dean, 2020. "No inventor is an island: social connectedness and the geography of knowledge flows in the US," LSE Research Online Documents on Economics 121852, London School of Economics and Political Science, LSE Library.
    16. Xiaoqian Zu & Yongxiang Wu & Zhenduo Zhang & Lu Yu, 2019. "Prediction of Consumption Choices of Low-Income Groups in a Mixed-Income Community Using a Support Vector Machine Method," Sustainability, MDPI, vol. 11(14), pages 1-12, July.
    17. Jordi Jofre-Monseny & Raquel Marín-López & Elisabet Viladecans-Marsal, 2012. "What underlies localization and urbanization economies? Evidence from the location of new firms," Working Papers 2012/9, Institut d'Economia de Barcelona (IEB).
    18. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    19. William R. Kerr, 2010. "Breakthrough Inventions and Migrating Clusters of Innovation," NBER Chapters, in: Cities and Entrepreneurship, National Bureau of Economic Research, Inc.
    20. Li, Chen & Swaminathan, Srinivasan & Kim, Junhee, 2021. "The role of marketing channels in consumers’ promotional point redemption decisions," Journal of Business Research, Elsevier, vol. 125(C), pages 314-323.

    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:telpol:v:46:y:2022:i:3:s0308596121001828. 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    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.