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Examining Online Purchase Intentions in B2C E-Commerce: Testing an Integrated Model

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  • C. Ranganathan

    (University of Illinois at Chicago, USA)

  • Sanjeev Jha

    (University of Illinois at Chicago, USA)

Abstract

Research on online shopping has taken three broad and divergent approaches viz, human-computer interaction, behavioral, and consumerist approaches to examine online consumer behavior. Assimilating these three approaches, this study proposes an integrated model of online shopping behavior, with four major antecedents influencing online purchase intent: Web site quality, customer concerns in online shopping, self-efficacy, and past online shopping experience. These antecedents were modeled as secondorder constructs with subsuming first-order constituent factors. The model was tested using data from a questionnaire survey of 214 online shoppers. Statistical analyses using structural equation modeling was used to validate the model, and identify the relative importance of the key antecedents to online purchase intent. Past online shopping experience was found to have the strongest association with online purchase intent, followed by customer concerns, Web site quality, and computer self efficacy. The findings and their implications are discussed.

Suggested Citation

  • C. Ranganathan & Sanjeev Jha, 2007. "Examining Online Purchase Intentions in B2C E-Commerce: Testing an Integrated Model," Information Resources Management Journal (IRMJ), IGI Global, vol. 20(4), pages 48-64, October.
    • Handle: RePEc:igg:rmj000:v:20:y:2007:i:4:p:48-64
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    Cited by:

    1. Plotkina, Daria & Saurel, Hélène, 2019. "Me or just like me? The role of virtual try-on and physical appearance in apparel M-retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 362-377.
    2. 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.
    3. Li Li & Xiaotong Li & Wenmin Qi & Yue Zhang & Wensheng Yang, 2022. "Targeted reminders of electronic coupons: using predictive analytics to facilitate coupon marketing," Electronic Commerce Research, Springer, vol. 22(2), pages 321-350, June.
    4. Atchara Leerapong, 2013. "Applying Diffusion of Innovation in Online Purchase Intention through Social Network: A Focus Group Study of Facebook in Thailand," Information Management and Business Review, AMH International, vol. 5(3), pages 144-154.

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