IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v9y2019i2p2158244019854639.html
   My bibliography  Save this article

Online Consumer Typologies and Their Shopping Behaviors in B2C E-Commerce Platforms

Author

Listed:
  • Farid Huseynov
  • Sevgi Özkan Yıldırım

Abstract

Consumer behavior in e-commerce platforms is one of the extensively researched area. Numerous studies in this field assessed consumer online shopping behavior from various aspects. However, literature review showed that most of the conducted studies do not carry out market segmentation analysis while accessing shopping behavior of online consumers. Therefore, the general conclusions made by these studies about consumer attitude, behavior, and decision-making process might not reflect actual behaviors of different consumer segments. In contrast to previous studies, this study initially carried out psychographic market segmentation analysis and found four different online consumer segments. Later, shopping behavior of each determined segment was assessed by using the developed behavior evaluation model. Findings of this study provide important information to e-retailers about the behavioral characteristics of each consumer segment. E-retailers can utilize this study findings to effectively allocate their marketing resources and design more successful marketing mix for each consumer segment.

Suggested Citation

  • Farid Huseynov & Sevgi Özkan Yıldırım, 2019. "Online Consumer Typologies and Their Shopping Behaviors in B2C E-Commerce Platforms," SAGE Open, , vol. 9(2), pages 21582440198, May.
    • Handle: RePEc:sae:sagope:v:9:y:2019:i:2:p:2158244019854639
    DOI: 10.1177/2158244019854639
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2158244019854639
    Download Restriction: no
    File URL: https://libkey.io/10.1177/2158244019854639?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
    ---><---

    References listed on IDEAS

    as
    1. Fortes, Nuno & Rita, Paulo, 2016. "Privacy Concerns And Online Purchasing Behaviour: Towards An Integrated Model /," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 22(3), pages 167-176.
    2. Ha, Sejin & Stoel, Leslie, 2009. "Consumer e-shopping acceptance: Antecedents in a technology acceptance model," Journal of Business Research, Elsevier, vol. 62(5), pages 565-571, May.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. 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.
    5. Teo, Thompson S.H. & Liu, Jing, 2007. "Consumer trust in e-commerce in the United States, Singapore and China," Omega, Elsevier, vol. 35(1), pages 22-38, February.
    6. Park, Joonyong & Kim, Renee B., 2018. "A new approach to segmenting multichannel shoppers in Korea and the U.S," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 163-178.
    7. Rezaei, Sajad, 2015. "Segmenting consumer decision-making styles (CDMS) toward marketing practice: A partial least squares (PLS) path modeling approach," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 1-15.
    8. Ying Liu & Hong Li & Geng Peng & Benfu Lv & Chong Zhang, 2015. "Online purchaser segmentation and promotion strategy selection: evidence from Chinese E-commerce market," Annals of Operations Research, Springer, vol. 233(1), pages 263-279, October.
    9. Kim, Hyejeong & Niehm, Linda S., 2009. "The Impact of Website Quality on Information Quality, Value, and Loyalty Intentions in Apparel Retailing," Journal of Interactive Marketing, Elsevier, vol. 23(3), pages 221-233.
    10. Smith, Rachel & Deitz, George & Royne, Marla B. & Hansen, John D. & Grünhagen, Marko & Witte, Carl, 2013. "Cross-cultural examination of online shopping behavior: A comparison of Norway, Germany, and the United States," Journal of Business Research, Elsevier, vol. 66(3), pages 328-335.
    11. Farid Huseynov & Sevgi Özkan Yıldırım, 2017. "Behavioural segmentation analysis of online consumer audience in Turkey by using real e-commerce transaction data," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 14(1), pages 12-28.
    12. Reham I. Elseidi, 2018. "Understanding Egyptian Consumers' Intentions in Online Shopping," International Journal of Online Marketing (IJOM), IGI Global, vol. 8(3), pages 1-18, July.
    13. Ballestar, María Teresa & Grau-Carles, Pilar & Sainz, Jorge, 2018. "Customer segmentation in e-commerce: Applications to the cashback business model," Journal of Business Research, Elsevier, vol. 88(C), pages 407-414.
    14. Nakano, Satoshi & Kondo, Fumiyo N., 2018. "Customer segmentation with purchase channels and media touchpoints using single source panel data," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 142-152.
    15. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    16. Clemes, Michael D. & Gan, Christopher & Zhang, Junli, 2014. "An empirical analysis of online shopping adoption in Beijing, China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(3), pages 364-375.
    17. 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.
    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. Marcin Gąsior, 2021. "Environmental Attitudes and Willingness to Purchase Online—Classification Approach," Sustainability, MDPI, vol. 13(15), pages 1-17, August.
    2. Jiangyuan Hou & Mingyue Du & Qingjie Zhou, 2023. "What People Talk About Multi-Channel Purchasing Behavior and What They Intend to do: Related Perspective From ESG Evaluation System," SAGE Open, , vol. 13(4), pages 21582440231, October.
    3. Abdul Waheed & Qingyu Zhang & Muhammad Farrukh & Sher Zaman Khan, 2021. "Effect of Mobile Social Apps on Consumer’s Purchase Attitude: Role of Trust and Technological Factors in Developing Nations," SAGE Open, , vol. 11(2), pages 21582440211, April.
    4. Yide Liu & Ivan Ka Wai Lai, 2020. "The Effects of Environmental Policy and the Perception of Electric Motorcycles on the Acceptance of Electric Motorcycles: An Empirical Study in Macau," SAGE Open, , vol. 10(1), pages 21582440198, January.
    5. Haitham Medhat Abdelaziz Elsayed Aboulilah & Syed Far Abid Hossain & Bui Nhat Vuong & Tawfiq Jebril, 2022. "Exploring the Relationship between WeChat Usage and E-purchase Intention During the COVID-19 Pandemic Among University Students in China," SAGE Open, , vol. 12(4), pages 21582440221, November.

    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. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    2. Brand, Christian & Schwanen, Tim & Anable, Jillian, 2020. "‘Online Omnivores’ or ‘Willing but struggling’? Identifying online grocery shopping behavior segments using attitude theory," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    3. Pascual-Miguel, Félix J. & Agudo-Peregrina, Ángel F. & Chaparro-Peláez, Julián, 2015. "Influences of gender and product type on online purchasing," Journal of Business Research, Elsevier, vol. 68(7), pages 1550-1556.
    4. Wu, Ing-Long & Chen, Kuei-Wan & Chiu, Mai-Lun, 2016. "Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users," International Journal of Information Management, Elsevier, vol. 36(3), pages 284-296.
    5. Francesca Pratesi & Lala Hu & Riccardo Rialti & Lamberto Zollo & Monica Faraoni, 2021. "Cultural dimensions in online purchase behavior: Evidence from a cross-cultural study," Italian Journal of Marketing, Springer, vol. 2021(3), pages 227-247, September.
    6. Padmavathy, Chandrasekaran & Swapana, Murali & Paul, Justin, 2019. "Online second-hand shopping motivation – Conceptualization, scale development, and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 19-32.
    7. Rayburn, Steven W. & Anderson, Sidney T. & Zank, Gail M. & McDonald, Imani, 2022. "M-atmospherics: From the physical to the digital," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    8. Pookulangara, Sanjukta & Koesler, Kristian, 2011. "Cultural influence on consumers' usage of social networks and its' impact on online purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 18(4), pages 348-354.
    9. Paula Rodríguez–Torrico & Sonia San–Martín & Rebeca San José Cabezudo, 2020. "Consumer behavior using multiple channels: a review," DOCFRADIS Working Papers 2002, Catedra Fundación Ramón Areces de Distribución Comercial, revised Jul 2020.
    10. Frasquet, Marta & Ieva, Marco & Ziliani, Cristina, 2021. "Online channel adoption in supermarket retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    11. Witek-Hajduk Marzanna Katarzyna & Grudecka Anna, 2022. "Consumer intentions to purchase on foreign multi-sided digital platforms: a context of the COVID-19 pandemic," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 58(2), pages 143-160, June.
    12. Jang, Hyeong Yu & Noh, Mi Jin, 2011. "Customer acceptance of IPTV service quality," International Journal of Information Management, Elsevier, vol. 31(6), pages 582-592.
    13. Abeeha Batool & Schehar Bano & Dr. Muhamamd Aslam Khan & M. Naveed Akhtar & Almana Naeem & Bariha Batool, 2011. "Technology as a Black-box in E-business and its impact on Customer Satisfaction: Major Corporate Sector of Islamabad Areas, Pakistan," Far East Journal of Marketing and Management, Far East Research Centre, vol. 1(4), pages 28-53, December.
    14. Kawaljeet Kaur Kapoor & Yogesh K. Dwivedi & Michael D. Williams, 2015. "Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service," Information Systems Frontiers, Springer, vol. 17(5), pages 1039-1056, October.
    15. Ronald Baganzi & Geon-Cheol Shin & Shali Wu, 2019. "Examining Consumers’ Attitudes toward Gmarket Online Shopping," J, MDPI, vol. 2(3), pages 1-20, August.
    16. Zagidullin, Marat & Aziz, Nergis & Kozhakhmet, Sanat, 2021. "Government policies and attitudes to social media use among users in Turkey: The role of awareness of policies, political involvement, online trust, and party identification," Technology in Society, Elsevier, vol. 67(C).
    17. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    18. Hasan Zahid & Badariah Haji Din, 2019. "Determinants of Intention to Adopt E-Government Services in Pakistan: An Imperative for Sustainable Development," Resources, MDPI, vol. 8(3), pages 1-25, July.
    19. Pan, Jing Yu & Liu, Dahai, 2022. "Mask-wearing intentions on airplanes during COVID-19 – Application of theory of planned behavior model," Transport Policy, Elsevier, vol. 119(C), pages 32-44.
    20. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.

    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:sae:sagope:v:9:y:2019:i:2:p:2158244019854639. 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: SAGE Publications (email available below). General contact details of provider: .

    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.