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Benefit-based O2O commerce segmentation: a means-end chain approach

Author

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  • Lin Xiao

    (Nanjing University of Aeronautics and Astronautics)

  • Zixiu Guo

    (UNSW Sydney)

  • John D’Ambra

    (UNSW Sydney)

Abstract

We examined Online-to-Offline (O2O) commerce consumers’ market segments and consumption relevant cognitive structures. Laddering interview technique was employed to collect data from 51 O2O consumers in terms of benefits they sought from O2O platforms. A three-group O2O consumer segments were identified based on the benefits they sought, namely Return-sensitive shoppers, Risk-sensitive shoppers, and Rational shoppers, and a corresponding hierarchical cognitive structure model for each sub-group of consumers was developed linking attributes needed to fulfill the benefits and values to reinforce the benefits. The three sub-group O2O consumers were found to be significantly different in terms of the key benefits sought and attributes needed to realize the same benefit sought. Moreover, benefit-based segmentation has shown advantages over the item-based segmentation method used in prior research. This study makes a significant contribution to O2O business regarding consumer purchasing behaviors and segmentation methodology.

Suggested Citation

  • Lin Xiao & Zixiu Guo & John D’Ambra, 2019. "Benefit-based O2O commerce segmentation: a means-end chain approach," Electronic Commerce Research, Springer, vol. 19(2), pages 409-449, June.
    • Handle: RePEc:spr:elcore:v:19:y:2019:i:2:d:10.1007_s10660-017-9286-3
    DOI: 10.1007/s10660-017-9286-3
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    1. Schröder, Hendrik & Zaharia, Silvia, 2008. "Linking multi-channel customer behavior with shopping motives: An empirical investigation of a German retailer," Journal of Retailing and Consumer Services, Elsevier, vol. 15(6), pages 452-468.
    2. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(1), pages 1-2, May.
    3. 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.
    4. Dholakia, Utpal M. & Kahn, Barbara E. & Reeves, Randy & Rindfleisch, Aric & Stewart, David & Taylor, Earl, 2010. "Consumer Behavior in a Multichannel, Multimedia Retailing Environment," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 86-95.
    5. Pieters, R. & Baumgartner, H. & Allen, D., 1995. "A means-end chain approach to consumers' goal structures," Other publications TiSEM 7d190b0e-3495-4c5f-8de3-a, Tilburg University, School of Economics and Management.
    6. Freathy, Paul & Calderwood, Eric, 2013. "The impact of internet adoption upon the shopping behaviour of island residents," Journal of Retailing and Consumer Services, Elsevier, vol. 20(1), pages 111-119.
    7. Zanoli, Raffaele & Naspetti, Simona, 2002. "Consumer motivations in the purchase of organic food. A means-end approach," MPRA Paper 32712, University Library of Munich, Germany.
    8. Nitin Walia & Mark Srite & Wendy Huddleston, 2016. "Eyeing the web interface: the influence of price, product, and personal involvement," Electronic Commerce Research, Springer, vol. 16(3), pages 297-333, September.
    9. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(2), pages 109-110, August.
    10. Zixiu Guo & Xiongwen Lu & Yuan Li & Yifan Li, 2011. "A framework of students' reasons for using CMC media in learning contexts: A structural approach," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2182-2200, November.
    11. Sands, Sean & Ferraro, Carla & Campbell, Colin & Pallant, Jason, 2016. "Segmenting multichannel consumers across search, purchase and after-sales," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 62-71.
    12. Konuş, Umut & Verhoef, Peter C. & Neslin, Scott A., 2008. "Multichannel Shopper Segments and Their Covariates," Journal of Retailing, Elsevier, vol. 84(4), pages 398-413.
    13. De Keyser, Arne & Schepers, Jeroen & Konuş, Umut, 2015. "Multichannel customer segmentation: Does the after-sales channel matter? A replication and extension," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 453-456.
    14. Suri, Rajneesh & Long, Mary & Monroe, Kent B., 2003. "The impact of the Internet and consumer motivation on evaluation of prices," Journal of Business Research, Elsevier, vol. 56(5), pages 379-390, May.
    15. Anushree Tandon & Ashish Gupta & Vibhuti Tripathi, 2016. "The viability of benefit segmentation in Tier-II cities of India - identifying benefits sought by Indian customers," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 10(4), pages 501-518.
    16. Calder, Bobby J. & Malthouse, Edward C. & Schaedel, Ute, 2009. "An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 321-331.
    17. Zixiu Guo & Xiongwen Lu & Yuan Li & Yifan Li, 2011. "A framework of students' reasons for using CMC media in learning contexts: A structural approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(11), pages 2182-2200, November.
    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. 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.
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    Cited by:

    1. Park, Jonghwa & Han, Kyunghyun, 2024. "Exploring Small Entrepreneurs' Goals in Electronic Commerce Ecosystem: A Goal Hierarchy Approach," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302510, International Telecommunications Society (ITS).
    2. Pinyi Yao & Mohamad Fazli Sabri & Syuhaily Osman & Norzalina Zainudin & Yezheng Li, 2023. "Consumers’ Continued Intention to Use Online-to-Offline (O2O) Services in Omnichannel Retail: Differences between To-Shop and To-Home Models," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    3. Aditya Halim Perdana Kusuma Putra, 2024. "Learning from the Past Bridging Digital and Physical Markets: A Guidelines for Future Research Agenda of Online-to-Offline (O2O) Marketing Strategy," International Review of Management and Marketing, Econjournals, vol. 14(3), pages 82-96, May.
    4. 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.
    5. Pei-Ju Wu, 2023. "O2O switching determinants and successful drivers in omnichannel retailing services," Service Business, Springer;Pan-Pacific Business Association, vol. 17(3), pages 771-788, September.

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