Skip to main content
Log in

Competition in wearable device market: the effect of network externality and product compatibility

  • Published:
Electronic Commerce Research Aims and scope Submit manuscript

Abstract

The rapid growth in consumer adoption of wearable devices has garnered the attention of both practitioners and academia. Competition in the wearable device market is both substantial and complicated. In this study, we investigate the impact of network externality on wearable device competition in a two-dimensional product differentiation model. We consider a market that has a broad array of products (horizontal differentiation) and various quality levels (vertical differentiation). We study two types of network externalities according to the product compatibility in two types of market structures. Our model indicates that firm profits are decreased by network externalities in horizontal dominance. Network externality also increases (decreases) the higher-quality (lower-quality) firm’s profit in vertical dominance. Moreover, firms should ensure that their products are incompatible with those of rivals when network externality is large, and they should release compatible products when network externality is small in horizontal dominance. Firms should always ensure that their products are compatible with those of competitors in vertical dominance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Source: The NDP group; the data are available from https://www.npd.com/

Fig. 5

Source: Google Trends; the data are available from https://www.google.com/trends/

Fig. 6

Similar content being viewed by others

Notes

  1. The information was accessed on 2014/10/11 at https://technology.ihs.com.

  2. The statistics were accessed on 2014/02/19 at http://tech.hexun.com/2013-04-19/153346302.html.

  3. The scale of market size is converted from RMB to US dollars. The foreign exchange rate is about 1RMB = 0.1545 Dollars at the day of 12/22/2015.

  4. The statistics were accessed on 2014/02/19 at http://www.iimedia.cn.

  5. The information can be accessed at http://venturebeat.com/2013/11/06/how-jawbone-is-using-big-data-to-lead-the-personal-fitness-wearable-industry/.

  6. Proofs of all propositions are provided in Supplementary Material Appendix 1.

  7. The proofs of corollaries are provided in Supplementary Material Appendix 2.

  8. According to Google Trends website, the hot degree represents “search interest relative to the highest point on the chart. The detail explanations of hot degree and related concepts can be seen at https://support.google.com/trends/answer/4355164?hl=en&rd=1.

References

  1. Zheng, Y.-L., Ding, X.-R., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., et al. (2014). Unobtrusive sensing and wearable devices for health informatics. IEEE Transactions on Biomedical Engineering, 61(5), 1538–1554.

    Article  Google Scholar 

  2. Moran, S., Nishida, T., & Nakata, K. (2013). Comparing British and Japanese perceptions of a wearable ubiquitous monitoring device. IEEE Technology & Society Magazine, 32(4), 45–49.

    Article  Google Scholar 

  3. Markovic, M., Rapin, M., Correvon, M., & Perriard, Y. (2013). Design and optimization of a blood pump for a wearable artificial kidney device. IEEE Transactions on Industry Applications, 49(5), 2053–2060.

    Article  Google Scholar 

  4. Harris, S. (2008). Catwalk goes techno (wearable technologies). Engineering & Technology, 3(18), 28–30.

    Article  Google Scholar 

  5. Keller, J. (2013). Rapid pace of commercial technology complicates Army plans for wearable computing. Military & Aerospace Electronics, 24(11), 28–29.

    Google Scholar 

  6. Wu, J., Li, H., Lin, Z., & Goh, K.-Y. (2015). How big data and analytics reshape the wearable device market—the context of e-health. International Journal of Production Research, Forthcoming.,. doi:10.1080/00207543.00202015.01059521.

    Google Scholar 

  7. Li, H., & Wu, J. (2014). The war in the wearable device market: The analysis from economic perspective. In Pacific Asia Conference on Information Systems, Chengdu, China (pp. 1–14). Atlanta: Association for Information Systems.

  8. Liebowtiz, S. J., & Margolis, S. E. (1995). Are network externalities a new source of market failure. Research in Law and Economics, 17, 1–22.

    Google Scholar 

  9. Cheng, H. K., Liu, Y., & Tang, Q. (2011). The impact of network externalities on the competition between open source and proprietary software. Journal of Management Information Systems, 27(4), 201–230.

    Article  Google Scholar 

  10. Liu, C. Z., Gal-Or, E., Kemerer, C. F., & Smith, M. D. (2011). Compatibility and proprietary standards: The impact of conversion technologies in IT markets with network effects. Information Systems Research, 22(1), 188–207.

    Article  Google Scholar 

  11. Farrell, J., & Saloner, G. (1992). Converters, compatibility, and the control of interfaces. The Journal of Industrial Economics, 40(1), 9–35.

    Article  Google Scholar 

  12. Katz, M. L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American Economic Review, 75(3), 424–440.

    Google Scholar 

  13. Katz, M. L., & Shapiro, C. (1994). Systems competition and network effects. Journal of Economic Perspectives, 8(2), 93–93.

    Article  Google Scholar 

  14. Belanche, D., Casaló, L. V., & Guinalíu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk. Journal of Retailing and Consumer Services, 19(1), 124–132.

    Article  Google Scholar 

  15. Katz, M. L., & Shapiro, C. (1992). Product introduction with network externalities. The Journal of Industrial Economics, 40(1), 55–83.

    Article  Google Scholar 

  16. Aggarwal, N., Dai, Q., & Walden, E. A. (2006). Do markets prefer open or proprietary standards for XML standardization? An event study. International Journal of Electronic Research, 11(1), 117–136.

    Google Scholar 

  17. Wattal, S., Telang, R., & Mukhopadhyay, T. (2009). Information personalization in a two-dimensional product differentiation model. Journal of Management Information Systems, 26(2), 69–95.

    Article  Google Scholar 

  18. Chan, M., Estève, D., Fourniols, J.-Y., Escriba, C., & Campo, E. (2012). Smart wearable systems: Current status and future challenges. Artificial intelligence in medicine, 56(3), 137–156.

    Article  Google Scholar 

  19. Maisto, M. (2013). Wearable devices: 8 Myths debunked. [Article]. eWeek, 14–14.

  20. Tehrani, K., & Michael, A. (2014 March). Wearable technology and wearable devices: Everything you need to know. Wearable Devices Magazine, Available at: http://www.wearabledevices.com/what-is-a-wearable-device/.

  21. Steele, R., Lo, A., Secombe, C., & Wong, Y. K. (2009). Elderly persons’ perception and acceptance of using wireless sensor networks to assist healthcare. International Journal of Medical Informatics, 78(12), 788–801.

    Article  Google Scholar 

  22. Fraile, J., Corchado, J., & Abraham, A. (2010). Applying wearable solutions in dependent environments. IEEE Transactions on Information Technology in Biomedicine, 14(6), 1459–1467.

    Article  Google Scholar 

  23. Hensel, B. K., Demiris, G., Karen, L., & Courtney, K. L. (2006). Defining obtrusiveness in home telehealth technologies: a conceptual framework. Journal of the American Medical Informatics Association, 13, 428–431.

    Article  Google Scholar 

  24. Claes, V., Devriendt, E., Tournoy, J., & Milisen, K. (2015). Attitudes and perceptions of adults of 60 years and older towards in-home monitoring of the activities of daily living with contactless sensors: An explorative study. International Journal of Nursing Studies, 52(1), 134–148.

    Article  Google Scholar 

  25. George, K. L. J., Matthew, D. L., Charles, R. H. J., & Ralph, O. (2013). Design and evaluation of a wearable self-applied therapeutic ultrasound device for chronic myofascial pain. Ultrasound in Medicine & Biology, 39(8), 1429–1439.

    Article  Google Scholar 

  26. Lim, S., Xue, L., Yen, C. C., Chang, L., Chan, H. C., Tai, B. C., et al. (2011). A study on Singaporean women’s acceptance of using mobile phones to seek health information. International journal of medical informatics, 80(12), e189–e202.

    Article  Google Scholar 

  27. Xue, L., Yen, C. C., Chang, L., Chan, H. C., Tai, B. C., Tan, S. B., et al. (2012). An exploratory study of ageing women’s perception on access to health informatics via a mobile phone-based intervention. International Journal of Medical Informatics, 81(9), 637–648.

    Article  Google Scholar 

  28. Mettler, T. (2012). Post-acceptance of electronic medical records: Evidence from a longitudinal field study. In International Conference on Information Systems (pp. 1–19). Orlando, FL.

  29. Mishra, A. N., Anderson, C., Angst, C. M., & Agarwal, R. (2012). Electronic health records assimilation and physician identity evolution: An identity theory perspective. Information Systems Research, 23(3), 738–760.

    Article  Google Scholar 

  30. Huang, C. D., Behara, R. S., & Goo, J. (2014). Optimal information security investment in a healthcare information exchange: An economic analysis. Decision Support Systems, 61, 1–11.

    Article  Google Scholar 

  31. Ozdemir, Z., Barron, J., & Bandyopadhyay, S. (2011). An analysis of the adoption of digital health records under switching costs. Information Systems Research, 22(3), 491–503.

    Article  Google Scholar 

  32. Lancaster, K. (1971). Consumer demand: A new approach. New York: Columbia University Press.

    Google Scholar 

  33. Hotelling, H. (1990). Stability in competition. New York: Springer.

    Book  Google Scholar 

  34. d’Aspremont, C., Gabszewicz, J. J., & Thisse, J.-F. (1979). On hotelling’s stability in competition. Econometrica, 47(5), 1145–1150.

    Article  Google Scholar 

  35. Yao, Y., & Zhang, J. (2012). Pricing for shipping services of online retailers: Analytical and empirical approaches. Decision Support Systems, 53(2), 368–380.

    Article  Google Scholar 

  36. Markopoulos, P. M., Aron, R., & Ungar, L. (2010). Information markets for product attributes: A game theoretic. Dual Pricing Mechanism. Decision Support Systems, 49(2), 187–199.

    Article  Google Scholar 

  37. Jaskold Gabszewicz, J., & Thisse, J.-F. (1979). Price competition, quality and income disparities. Journal of Economic Theory, 20(3), 340–359.

    Article  Google Scholar 

  38. Shaked, A., & Sutton, J. (1982). Relaxing price competition through product differentiation. The Review of Economic Studies, 49(1), 3–13.

    Article  Google Scholar 

  39. Mussa, M., & Rosen, S. (1978). Monopoly and product quality. Journal of Economic Theory, 18(2), 301–317.

    Article  Google Scholar 

  40. Caplin, A., & Nalebuff, B. (1991). Aggregation and imperfect competition: On the existence of equilibrium. Econometrica, 59(1), 25–59.

    Article  Google Scholar 

  41. Gabszwicz, J. J., & Thisse, J.-F. (1986). On the nature of competition with differentiated products. The Economic Journal, 96(381), 160–172.

    Article  Google Scholar 

  42. Lambertini, L. (1997). Unicity of the equilibrium in the unconstrained hotelling model. Regional Science and Urban Economics, 27(6), 785–798.

    Article  Google Scholar 

  43. Dos Santos Ferreira, R., & Thisse, J.-F. (1996). Horizontal and vertical differentiation: The Launhardt model. International Journal of Industrial Organization, 14(4), 485–506.

    Article  Google Scholar 

  44. Kevin Xiaoguo, Z., & Zach Zhizhong, Z. (2012). Lock-in strategy in software competition: Open-source software vs. proprietary software. Information Systems Research, 23(2), 536–545.

    Article  Google Scholar 

  45. Telang, R., Rajan, U., & Mukhopadhyay, T. (2004). The market structure for internet search engines. Journal of Management Information Systems, 21(2), 137–160.

    Article  Google Scholar 

  46. Etzion, H., & Pang, M.-S. (2014). Complentary online services in competitive markets: Maintaining profitability in the presence of network effects. MIS Quarterly, 38(1), 231.

    Google Scholar 

  47. Lee, D., & Mendelson, H. (2007). Adoption of information technology under network effects. Information Systems Research, 18(4), 395–413.

    Article  Google Scholar 

  48. Hotelling, H. (1929). Stability in competition. Economic Journal, 39, 41–57.

    Article  Google Scholar 

  49. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95.

    Article  Google Scholar 

  50. Tirole, J. (1988). The theory of industrial organization. Cambridge, MA: MIT Press.

    Google Scholar 

  51. Duan, W., Gu, B., & Whinston, A. B. (2009). Information cascades and software adoption on the internet: An empirical investigation. MIS Quarterly, 33(1), 23–48.

    Google Scholar 

  52. Choi, H., & Varian, H. (2002). Predicting the present with Google trends. Economic Record, 88(1), 2–9.

    Google Scholar 

Download references

Acknowledgments

The authors are grateful to the editor, associate editor and the two anonymous reviewers for their valuable comments and suggestions throughout the review process. The authors would also like to thank the participants at the 18th Pacific Asia Conference on Information Systems for their valuable feedback.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jing Wu.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 138 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, J., Li, H., Lin, Z. et al. Competition in wearable device market: the effect of network externality and product compatibility. Electron Commer Res 17, 335–359 (2017). https://doi.org/10.1007/s10660-016-9227-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10660-016-9227-6

Keywords

Navigation