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An analysis of the trilemma phenomenon for Apple iPhone and Samsung Galaxy

Author

Listed:
  • Bo-Seong Yun

    (Sogang University)

  • Sang-Gun Lee

    (Sogang University)

  • Yaichi Aoshima

    (Hitotsubashi University)

Abstract

Although fast followers have been making huge investments on their expansion strategies to surpass first movers and dominate the market, they have encountered the trilemma of being unable to simultaneously obtain high market shares, high business profit rates, and high brand innovativeness. This study used the Trade-off model and Diffusion of Innovation theory to statistically examine the trilemma phenomenon in the global smartphone market and revealed that during the early stage of market entry, a company should actively source and use bigmouth consumers and killer app developers, invest limited resources to expand its target market with the aim of sales profits, and develop specifically for innovation. Starting from the later stage of its market growth period, a company should establish some alternative strategies for responding to the possible reduction in the efficacy of marketing expenses.

Suggested Citation

  • Bo-Seong Yun & Sang-Gun Lee & Yaichi Aoshima, 2019. "An analysis of the trilemma phenomenon for Apple iPhone and Samsung Galaxy," Service Business, Springer;Pan-Pacific Business Association, vol. 13(4), pages 779-812, December.
    • Handle: RePEc:spr:svcbiz:v:13:y:2019:i:4:d:10.1007_s11628-019-00405-5
    DOI: 10.1007/s11628-019-00405-5
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    1. Vijay Mahajan & Subhash Sharma & Richard A. Bettis, 1988. "The Adoption of the M-Form Organizational Structure: A Test of Imitation Hypothesis," Management Science, INFORMS, vol. 34(10), pages 1188-1201, October.
    2. Minasian, Jora R, 1969. "Research and Development, Production Functions, and Rates of Return," American Economic Review, American Economic Association, vol. 59(2), pages 80-85, May.
    3. Se-Joon Hong & Kar Yan Tam, 2006. "Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services," Information Systems Research, INFORMS, vol. 17(2), pages 162-179, June.
    4. Sang Lee & Domingo Ribeiro & David Olson & Salvador Roig, 2007. "The importance of the activities of service business in the economy: welcome to the Service Business. An International Journal," Service Business, Springer;Pan-Pacific Business Association, vol. 1(1), pages 1-5, March.
    5. Dan Horsky & Leonard S. Simon, 1983. "Advertising and the Diffusion of New Products," Marketing Science, INFORMS, vol. 2(1), pages 1-17.
    6. Sirkka L. Jarvenpaa & Dorothy E. Leidner, 1998. "An Information Company in Mexico: Extending the Resource-Based View of the Firm to a Developing Country Context," Information Systems Research, INFORMS, vol. 9(4), pages 342-361, December.
    7. Sang-Gun Lee & Eui-bang Lee & Chang-Gyu Yang, 2014. "Strategies for ICT product diffusion: the case of the Korean mobile communications market," Service Business, Springer;Pan-Pacific Business Association, vol. 8(1), pages 65-81, March.
    8. Sang-Gun Lee & Silvana Trimi & Won Byun & Mincheol Kang, 2011. "Innovation and imitation effects in Metaverse service adoption," Service Business, Springer;Pan-Pacific Business Association, vol. 5(2), pages 155-172, June.
    9. John W Cadogan & Adamantios Diamantopoulos & Judy A Siguaw, 2002. "Export Market-oriented Activities: Their Antecedents and Performance Consequences," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 33(3), pages 615-626, September.
    10. Hermann Simon & Karl-Heinz Sebastian, 1987. "Diffusion and Advertising: The German Telephone Campaign," Management Science, INFORMS, vol. 33(4), pages 451-466, April.
    11. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    12. N. Venkatraman & Lawrence Loh & Jeongsuk Koh, 1994. "The Adoption of Corporate Governance Mechanisms: A Test of Competing Diffusion Models," Management Science, INFORMS, vol. 40(4), pages 496-507, April.
    13. M. S. Krishnan & C. H. Kriebel & Sunder Kekre & Tridas Mukhopadhyay, 2000. "An Empirical Analysis of Productivity and Quality in Software Products," Management Science, INFORMS, vol. 46(6), pages 745-759, June.
    14. Lee, Sang-Gun & Trimi, Silvana & Kim, Changsoo, 2013. "The impact of cultural differences on technology adoption," Journal of World Business, Elsevier, vol. 48(1), pages 20-29.
    15. Detmar W. Straub, 1994. "The Effect of Culture on IT Diffusion: E-Mail and FAX in Japan and the U.S," Information Systems Research, INFORMS, vol. 5(1), pages 23-47, March.
    16. Glen L. Urban & Theresa Carter & Steven Gaskin & Zofia Mucha, 1986. "Market Share Rewards to Pioneering Brands: An Empirical Analysis and Strategic Implications," Management Science, INFORMS, vol. 32(6), pages 645-659, June.
    17. Lawrence Loh & N. Venkatraman, 1992. "Diffusion of Information Technology Outsourcing: Influence Sources and the Kodak Effect," Information Systems Research, INFORMS, vol. 3(4), pages 334-358, December.
    18. Lev, Baruch & Sougiannis, Theodore, 1996. "The capitalization, amortization, and value-relevance of R&D," Journal of Accounting and Economics, Elsevier, vol. 21(1), pages 107-138, February.
    19. Shlomo Kalish, 1985. "A New Product Adoption Model with Price, Advertising, and Uncertainty," Management Science, INFORMS, vol. 31(12), pages 1569-1585, December.
    20. Qing Hu & Carol Saunders & Mary Gebelt, 1997. "Research Report: Diffusion of Information Systems Outsourcing: A Reevaluation of Influence Sources," Information Systems Research, INFORMS, vol. 8(3), pages 288-301, September.
    21. Stephan Kudyba & Romesh Diwan, 2002. "Research Report: Increasing Returns to Information Technology," Information Systems Research, INFORMS, vol. 13(1), pages 104-111, March.
    22. James C. Brancheau & James C. Wetherbe, 1990. "The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing," Information Systems Research, INFORMS, vol. 1(2), pages 115-143, June.
    23. Chung, Jaihak, 2011. "Investigating the roles of online buzz for new product diffusion and its cross-country dynamics," Journal of Business Research, Elsevier, vol. 64(11), pages 1183-1189.
    24. Fred S. Zufryden, 1987. "A Model for Relating Advertising Media Exposures to Purchase Incidence Behavior Patterns," Management Science, INFORMS, vol. 33(10), pages 1253-1266, October.
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    Cited by:

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    2. Xi Zhang, 2022. "Incremental Innovation: Long-Term Impetus for Design Business Creativity," Sustainability, MDPI, vol. 14(22), pages 1-24, November.
    3. Singhal, Shakshi & Anand, Adarsh & Singh, Ompal, 2020. "Studying dynamic market size-based adoption modeling & product diffusion under stochastic environment," Technological Forecasting and Social Change, Elsevier, vol. 161(C).

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