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A Comparison of the Online Shopping Behavior Patterns of Consumer Groups with Different Online Shopping Experiences

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  • Shwu-Ing Wu
  • Hsin-Ti Tsai

Abstract

The appearance of Internet does not only bring changes to consumption patterns, but also to the business modes of companies, as a result of which Internet has become a perfect sales channel. When a consumer shops online, s/he might be influenced by a huge variety of factors. In this study, ABC model of attitude was adopted to investigate empirically the influences of website characteristics and external stimulus on consumers¡¯ online shopping behavior. A relationship model was also established to compare the differences of consumer groups with different online shopping experiences. Using convenience sampling, a total of 818 valid questionnaires were collected for the purpose of this study. Based on their online shopping experiences, consumers were divided into high frequency and low frequency groups in order to compare their consumption patterns as a group. According to the results, the two groups with different online shopping experiences were significantly different in three relational paths. To be specific: (1) Compared to the low frequency group, consumers in the high frequency group is more significantly positively influenced by website characteristics along the affection path during their online shopping. (2) Compared to the high frequency group, consumers in the low frequency group are more significantly positively influenced by website characteristics along the attitude path during their online shopping. (3) Compared with the low frequency group, a more significant positive influence is found among consumers in the high frequency group between consumer affection and consumer behavior path. These differences in the consumer behavior patterns of groups with different online shopping experiences according to the research results, therefore, could be used as references for online shopping business owners in their formulation of strategies.

Suggested Citation

  • Shwu-Ing Wu & Hsin-Ti Tsai, 2017. "A Comparison of the Online Shopping Behavior Patterns of Consumer Groups with Different Online Shopping Experiences," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 9(3), pages 24-38, April.
    • Handle: RePEc:ibn:ijmsjn:v:9:y:2017:i:3:p:24-38
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    1. N/A, 2002. "Index to Clinical Nursing Research Volume 11," Clinical Nursing Research, , vol. 11(4), pages 463-466, November.
    2. Homer J. Hall, 2004. "Quality of information," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(1), pages 92-92, January.
    3. Park, Jin-Woo, 2007. "Passenger perceptions of service quality: Korean and Australian case studies," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 238-242.
    4. Belk, Russell W, 1975. "Situational Variables and Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(3), pages 157-164, December.
    5. anonymous, 2002. "Latin America Research Group brief: After Argentina," Federal Reserve Bank of Atlanta Brief, Federal Reserve Bank of Atlanta, issue Jan.
    6. Sanjeev Prashar & T. Sai Vijay & Chandan Parsad, 2017. "Effects of Online Shopping Values and Website Cues on Purchase Behaviour: A Study Using S–O–R Framework," Vikalpa: The Journal for Decision Makers, , vol. 42(1), pages 1-18, March.
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    Cited by:

    1. Clauzel, Amélie & Guichard, Nathalie & Riché, Caroline, 2019. "Dining alone or together? The effect of group size on the service customer experience," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 222-228.
    2. Siti Hasma Hajar Mat Zin & Siti Haslini Zakaria & Rumaizah Che Md Nor & Nor Hidayah Hassim & CT Munirah Niesha Mohd Shafee & Suhanah Rosnan & Nur Syafizan Mohd Sufter, 2024. "Analyzing Consumers Online Shopping Behavior Using Different Online Shopping Platforms: A Case Study in Malaysia," Information Management and Business Review, AMH International, vol. 16(2), pages 99-110.

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    More about this item

    Keywords

    online shopping; website characteristics; external stimulus;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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