IDEAS home Printed from https://ideas.repec.org/a/spr/svcbiz/v13y2019i4d10.1007_s11628-019-00405-5.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11628-019-00405-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11628-019-00405-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Hermann Simon & Karl-Heinz Sebastian, 1987. "Diffusion and Advertising: The German Telephone Campaign," Management Science, INFORMS, vol. 33(4), pages 451-466, April.
    7. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Stephan Kudyba & Romesh Diwan, 2002. "Research Report: Increasing Returns to Information Technology," Information Systems Research, INFORMS, vol. 13(1), pages 104-111, March.
    14. 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.
    15. 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.
    16. 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.
    17. Dan Horsky & Leonard S. Simon, 1983. "Advertising and the Diffusion of New Products," Marketing Science, INFORMS, vol. 2(1), pages 1-17.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Shlomo Kalish, 1985. "A New Product Adoption Model with Price, Advertising, and Uncertainty," Management Science, INFORMS, vol. 31(12), pages 1569-1585, December.
    23. 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.
    24. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Hani Albasoos & Nabil Al Musallami, 2020. "The conflict between Apple and Samsung over patents and copyrights," Bussecon Review of Social Sciences (2687-2285), Bussecon International Academy, vol. 2(3), pages 1-17, July.
    3. Xi Zhang, 2022. "Incremental Innovation: Long-Term Impetus for Design Business Creativity," Sustainability, MDPI, vol. 14(22), pages 1-24, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barnes, Belinda & Southwell, Darren & Bruce, Sarah & Woodhams, Felicity, 2014. "Additionality, common practice and incentive schemes for the uptake of innovations," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 43-61.
    2. Chang, Byeong-Yun & Li, Xu & Kim, Yun Bae, 2014. "Performance comparison of two diffusion models in a saturated mobile phone market," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 41-48.
    3. Yi Xiang & David Soberman & Hubert Gatignon, 2022. "The Effect of Marketing Breadth and Competitive Spread on Category Growth," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 622-644, February.
    4. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    5. Ferreira, Kevin D. & Lee, Chi-Guhn, 2014. "An integrated two-stage diffusion of innovation model with market segmented learning," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 189-201.
    6. 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.
    7. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    8. Marie-Estelle Binet & Lionel Richefort, 2011. "Diffusion of irrigation technologies: the role of mimicking behaviour and public incentives," Applied Economics Letters, Taylor & Francis Journals, vol. 18(1), pages 43-48.
    9. Ruiz-Conde, Enar & Wieringa, Jaap E. & Leeflang, Peter S.H., 2014. "Competitive diffusion of new prescription drugs: The role of pharmaceutical marketing investment," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 49-63.
    10. Martin Hewing, 2012. "A Theoretical and Empirical Comparison of Innovation Diffusion Models Applying Data from the Software Industry," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(2), pages 125-141, June.
    11. Han, Zhongya & Tang, Zhongjun & He, Bo, 2022. "Improved Bass model for predicting the popularity of product information posted on microblogs," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    12. Mesak, Hani I. & Bari, Abdullahel & Babin, Barry J. & Birou, Laura M. & Jurkus, Anthony, 2011. "Optimum advertising policy over time for subscriber service innovations in the presence of service cost learning and customers' disadoption," European Journal of Operational Research, Elsevier, vol. 211(3), pages 642-649, June.
    13. Y. Li & C.J.M. Kool & P.J. Engelen, 2016. "Hydrogen-Fuel Infrastructure Investment with Endogenous Demand: A Real Options Approach," Working Papers 16-12, Utrecht School of Economics.
    14. Teck-Hua Ho & Sergei Savin & Christian Terwiesch, 2002. "Managing Demand and Sales Dynamics in New Product Diffusion Under Supply Constraint," Management Science, INFORMS, vol. 48(2), pages 187-206, February.
    15. Scott A. Shane & Karl T. Ulrich, 2004. "50th Anniversary Article: Technological Innovation, Product Development, and Entrepreneurship in Management Science," Management Science, INFORMS, vol. 50(2), pages 133-144, February.
    16. Fouad El Ouardighi & Gustav Feichtinger & Gila E. Fruchter, 2018. "Accelerating the diffusion of innovations under mixed word of mouth through marketing–operations interaction," Annals of Operations Research, Springer, vol. 264(1), pages 435-458, May.
    17. Lionel Richefort & Jean-Louis Fusillier, 2010. "Imitation, rationalité et adoption de technologies d'irrigation améliorées à l'île de la Réunion," Economie & Prévision, La Documentation Française, vol. 0(2), pages 59-73.
    18. Sunil Kumar & Jayashankar M. Swaminathan, 2003. "Diffusion of Innovations Under Supply Constraints," Operations Research, INFORMS, vol. 51(6), pages 866-879, December.
    19. Yan, Xiaoming & Liu, Ke, 2009. "Optimal control problems for a new product with word-of-mouth," International Journal of Production Economics, Elsevier, vol. 119(2), pages 402-414, June.
    20. Nelly S. Kolyan & Alexander E. Plesovskikh & Roman V. Gordeev, 2023. "Predictive Assessment of the Potential Electric Vehicle Market and the Effects of Reducing Greenhouse Gas Emissions in Russia," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(3), pages 497-521.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:svcbiz:v:13:y:2019:i:4:d:10.1007_s11628-019-00405-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.