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An Investigation of Key Factors Affecting the Adoption of Smartphone in Three Regions

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  • Jong Seok Kim

    (Technology Strategy Team, Samsung Electronics, Maetan Dong 129, Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do 443-742, Korea)

Abstract

The primary aim of this paper is to propose an integrated model of smartphone adoption that incorporates product benefit, technological capabilities, consumption pattern and word of mouth (WOM) into the technology acceptance model. In this study, the author proposes a structural equation model (SEM) which was empirically evaluated by using survey data collected from 5500 respondents with demographics in Asia Pacific, Middle East and Africa, and Europe to investigate their perception and attitudes toward smartphone adoption intention. The results reveal that product benefit, technological capabilities, consumption pattern change and WOM have all positive effect on the perception of innovativeness. Attitude toward a product turned out to play mediating role between perceived innovativeness and intention of adoption. In addition, the outcomes of this investigation indicated that there were no significant cultural differences between respondents in three different regions in regard to the adoption of a smartphone.

Suggested Citation

  • Jong Seok Kim, 2016. "An Investigation of Key Factors Affecting the Adoption of Smartphone in Three Regions," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 13(06), pages 1-19, December.
    • Handle: RePEc:wsi:ijitmx:v:13:y:2016:i:06:n:s0219877016400174
    DOI: 10.1142/S0219877016400174
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    References listed on IDEAS

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    1. Duchesneau, Donald A. & Gartner, William B., 1990. "A profile of new venture success and failure in an emerging industry," Journal of Business Venturing, Elsevier, vol. 5(5), pages 297-312, September.
    2. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Anderson, Robert L. & Ortinau, David J., 1988. "Exploring consumers' postadoption attitudes and use behaviors in monitoring the diffusion of a technology-based discontinuous innovation," Journal of Business Research, Elsevier, vol. 17(3), pages 283-298, November.
    5. Guseo, Renato & Guidolin, Mariangela, 2010. "Cellular Automata with network incubation in information technology diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(12), pages 2422-2433.
    6. Kulviwat, Songpol & Bruner II, Gordon C. & Al-Shuridah, Obaid, 2009. "The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption," Journal of Business Research, Elsevier, vol. 62(7), pages 706-712, July.
    7. Huh, Young Eun & Kim, Sang-Hoon, 2008. "Do early adopters upgrade early? Role of post-adoption behavior in the purchase of next-generation products," Journal of Business Research, Elsevier, vol. 61(1), pages 40-46, January.
    8. Tsiros, Michael & Mittal, Vikas, 2000. "Regret: A Model of Its Antecedents and Consequences in Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(4), pages 401-417, March.
    9. Bone, Paula Fitzgerald, 1995. "Word-of-mouth effects on short-term and long-term product judgments," Journal of Business Research, Elsevier, vol. 32(3), pages 213-223, March.
    10. Steenkamp, Jan-Benedict E M & Gielens, Katrijn, 2003. "Consumer and Market Drivers of the Trial Probability of New Consumer Packaged Goods," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(3), pages 368-384, December.
    11. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    12. Bentler, P. M., 1983. "Simultaneous equation systems as moment structure models : With an introduction to latent variable models," Journal of Econometrics, Elsevier, vol. 22(1-2), pages 13-42.
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    2. Jacobs, Nele & Swoboda, Bernhard, 2023. "The role of national institutions in the effects of consumers’ perceived customer orientation and firm innovativeness," International Business Review, Elsevier, vol. 32(5).

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