A Conceptual Model of Consumers’ Purchase Intention on Different Online Shopping Platforms

  • Attasit Patanasiri
  • Donyaprueth Krairit
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 266)


The first objective of this paper is to provide a more comprehensive conceptual model which can be utilized in the examination of the effects of stimuli on online consumers’ behavior and their decision making processes when they are contemplating a particular purchasing action or environment on various online shopping platforms. The proposed conceptual model was constructed by exploiting one of the theoretical framework of consumer behavior, the Stimulus-Organism-Response Model (S-O-R Model), as a base model and incorporating various related literature in the context of online shopping platforms into the base model and then develop into a conceptual framework. The second objective is to present the proposed conceptual model which can be utilized to study the differences of online consumers’ behaviors on different online shopping platforms. The variables that were incorporated with the S-O-R Model include website interactivity (active control and reciprocal communication), perceived risk, social identity, website involvement (affective involvement and cognitive involvement), flow (perceived enjoyment, concentration, and curiosity), and purchase intention.


E-commerce Social-commerce Stimulus-Organism-Response Model 


  1. 1.
    Animesh, A.P., Yang, S.B., Oh, W.: An odyssey into virtual words: exploring the impacts of technological and spatial environments on intention to purchase virtual products. MIS Q. 35(3), 780–810 (2011)CrossRefGoogle Scholar
  2. 2.
    Arnett, D.B., German, S.D., Hunt, S.D.: The identity salience model of relationship marketing success: the case of non-profit marketing. J. Market. 67(2), 89–105 (2003)CrossRefGoogle Scholar
  3. 3.
    Bray, J.P.: Consumer behaviour theory: approaches and models. Discussion paper (2008, Unpublished)Google Scholar
  4. 4.
    Clément, R., Noels, K., Doeneault, B.: Interethnic contact, identity, and psychological adjustments in the mediating and moderating roles of communication. J. Soc. Issues 57(3), 559–578 (2001)CrossRefGoogle Scholar
  5. 5.
    Cheung, C.M.K., Lee, M.K.O.: A theoretical model of intentional social action in online social networks. Decis. Support Syst. 49(1), 24–30 (2010)CrossRefGoogle Scholar
  6. 6.
    Csikszentmihalyi, M.: Play and intrinsic rewards. Humanist. Psychol. 15(3), 41–63 (1975)CrossRefGoogle Scholar
  7. 7.
    Eroglu, S.A., Machleit, K.A., Davis, L.M.: Empirical testing of a model of online store atmospherics and shopper responses. Psychol. Market. 20(2), 139–150 (2003)CrossRefGoogle Scholar
  8. 8.
    Hoffman, D.L., Novak, T.P.: Marketing in hypermedia computer-mediated environments: conceptual foundations. J. Market. 60(3), 50–68 (1996)CrossRefGoogle Scholar
  9. 9.
    Huang, E.: Online experiences and virtual goods purchase intention. Internet Res. 22(3), 252–274 (2012)CrossRefGoogle Scholar
  10. 10.
    Jiang, Z., Chan, J., Tan, B.C.Y., Chua, W.S.: Effects of interactivity on web site involvement and purchase intention. J. Assoc. Inf. Syst. 11(1), 34–59 (2010)Google Scholar
  11. 11.
    Kim, J., Lennon, S.: Effects of reputation and website quality on online consumers’ emotion, perceived risk and purchase intention. J. Res. Interact. Market. 7(1), 33–56 (2013)CrossRefGoogle Scholar
  12. 12.
    Koufaris, M.: Applying the technology acceptance model and flow theory to online consumer behavior. Inf. Syst. Res. 13(2), 205–223 (2002)CrossRefGoogle Scholar
  13. 13.
    Kwon, O., Wen, Y.: An empirical study of the factors affecting social network service use. Comput. Hum. Behav. 26(2), 254–263 (2010)CrossRefGoogle Scholar
  14. 14.
    Lim, N.: Consumer’s perceived risk: source versus consequences. Electron. Commer. Res. Appl. 2(3), 216–238 (2003)CrossRefGoogle Scholar
  15. 15.
    Lu, Y., Zhou, T., Wang, B.: Exploring Chinese user’s acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Comput. Hum. Behav. 25(1), 29–39 (2010)CrossRefGoogle Scholar
  16. 16.
    Manganari, E.E., Siomkos, G.J., Rigopoulou, I.D., Vrechopoulos, A.P.: Virtual store layout effects on consumer behaviour: applying an environmental psychology approach in the online travel industry. Internet Res. 21(3), 326–346 (2011)CrossRefGoogle Scholar
  17. 17.
    Moon, J.W., Kim, Y.G.: Extending the TAM for a world-wide-web context. Inf. Manage. 38(4), 217–230 (2001)MathSciNetCrossRefGoogle Scholar
  18. 18.
    Novak, T.P., Hoffman, D.L., Yung, Y.F.: Measuring the customer experience in online environments: a structural modeling approach. Mark. Sci. 19(1), 22–44 (2000)CrossRefGoogle Scholar
  19. 19.
    Simon, B.: Identity in Modern Society: A Social Psychological Perspective. Blackwell, Oxford (2004)CrossRefGoogle Scholar
  20. 20.
    Song, J., Kim, Y.J.: Social influence process in the acceptance of a virtual community service. Inf. Syst. Front. 8(3), 241–252 (2006)CrossRefGoogle Scholar
  21. 21.
    Vijayasarathy, L.R., Jones, J.M.: Intentions to shop using internet catalogues: exploring the effects of product types, shopping orientations, and attitudes towards computers. Electron. Markets 10(1), 29–38 (2000)CrossRefGoogle Scholar
  22. 22.
    Wang, K., Wang, E.T.G., Farn, C.K.: Influence of web advertising strategies, consumer goal-directedness, and consumer involvement on web advertising effectiveness. Int. J. Electron. Commer. 13(4), 67–95 (2009)CrossRefGoogle Scholar
  23. 23.
    Zaichkowsky, J.L.: Conceptualizing involvement. J. Advertising 15(6), 1–14 (1986)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.College of Social Communication InnovationSrinakharinwirot UniversityBangkokThailand
  2. 2.NIDA Business SchoolNational Institute of Development AdministrationBangkokThailand

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