Growth of late entrant firms of the software industry: a model of multigenerational product diffusion with network effects

Authors

  • Ana Lucía Pérez-Patiño Universidad de Antioquia
  • Jorge Robledo-Velásquez Universidad Nacional de Colombia

Keywords:

systems modeling, simulation, multigenerational diffusion , Network effects, software firm growth, late entry

Abstract


This article presents a growth model of two firms -Pioneer and Late Entrant- (hereinafter ET) in standardized software markets. The proposed model is defined based on the dynamic behavior of sales of multiple product generations, subject to network effects. In the validation, the simulations of the model are compared with the historical ones of two Pioneers: ANSYS INC. and SYMANTEC Corp. and two ETs: CIMATRON Group and Check Point Software Technologies Ltd .. It is concluded that the strategies for a Late Entrant to survive in the market are: i) invest in R&D to spread successive generations of products; ii) increase the installed base by strengthening network effects; and iii) control delays in the entry of its products compared to those of Pionera.

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References

H. Ansoff, J. Stewart. “Strategies for technology based business”. Harvard Business Review. Vol. 45. 1967. pp. 71-83.

H. Tanriverdi, C. Lee. “Within-industry diversification and firm performance in the presence of network externalities: evidence from the software industry”. Academy of Management Journal. Vol. 51. 2008. pp. 381-397.

M. Lieberman, D. Montgomery. “First-mover (dis) advantages: retrospective and link with the resource-based”. Strategic Management Journal. Vol. 19. 1998. pp. 1111-1125.

A. Keller, S. Hüsig. “Ex ante identification of disruptive innovations in the software industry applied to web applications: The case of Microsoft’s vs. Google’s office applications”. Technological Forecasting & Social Change. Vol. 76. 2009. pp. 1044-1054.

R. Rousseva. “Identifying technological capabilities with different degrees of coherence: The challenge to achieve high technological sophistication in latecomer software companies (based on the Bulgarian case)”. Technological Forecasting and Social Change. Vol. 75. 2008. pp. 1007-1071.

A. Arora, A. Gambardella. The rise and growth of the software industry in Brazil, China, India, Ireland and Israel. Oxford University Press. Londres. 2005. p. 336.

R. Schware. “Software industry entry strategies for developing countries: a walking on two legs proposition”. World Development. Vol. 20 (2). 1992. pp. 143-156.

A. Dhebar, S. Oren. “Optimal Dynamics Pricing for Expanding Networks”. Marketing Science. Vol. 4. 1985. pp. 336-351.

J. Church, N. Gandal. “Strategy entry deterrence: complementary products as a instaled base”. European Journal of Political Economy. Vol. 12. 1996. pp. 331- 354.

F. Bass. “A new product growth model for consumer durables”. Management Science. Vol. 15. 1969. pp. 215-227.

N. Meade, T. Islam. “Modelling and forecasting the diffusion of innovation – A 25-year review”. International Journal of Forecasting. Vol. 22. 2006. pp. 519-545.

Y. Li, M. Sui. “Literature analysis of innovation diffusion”. Technology and investment. Vol 2. 2011. pp. 155-162.

Y. Liu, H. Cheng, Q. Tang, E. Eryarsoy. “Optimal software pricing in the presence of piracy and word-of-mouth effect”. Decision Support Systems. Vol. 51. 2011. pp. 99-107.

F. Von Westarp. Modeling software markets: Empirical analisys, network simulations and marketing implications. Ed. Springer. New York. 2003. pp. 207.

A. Kemper. Valuation of Network Effects in Software Markets (Contributions to Management Science). Ed. Springer-Verlag. Berlin, Germany. 2010. pp. 326.

R. Peres, E. Muller, V. Mahajan. “Innovation diffusion and new product growth models: A critical review and research directions”. International Journal of Research in Marketing. Vol. 27. 2010. pp. 91-106.

M. Giarratana. “The birth of a new industry: Entry by start-ups and the drivers of firm growth”. Research Policy. Vol. 33. 2004. pp. 787-806.

S. Torrisi. Industrial organzaition and Innovation. Massachusetts: Edward Elgar. 1998. p. 224.

OECD. Innovation in the software sector. OCDE. [Accessed 7 Agosto 2010]. [Online]. Available: http://www.oecd.org/dataoecd/60/24/44131881.pdf,2009.

L. Fourt, J. Woodlock. “Early prediction of early success of new grocery products”. Journal of Marketing. Vol. 25. 1960. pp. 31-38.

E. Mansfield. “Technical change and the rat of imitation”. Econometrica. Vol. 29. 1961. pp. 741-766.

U. Chanda, A. Bardhan. “Modelling innovation and imitation sales of products with multiple technological generations”. Journal of High Technology Management Research. Vol. 18. 2008. pp. 173-190.

CHECK POINT SOFTWARE TECH. Check Point Software Tech. [Accessed julio 2011]. [Online]. Available: http://www.checkpoint.com/corporate/ir/annual_reports.html. 2011.

AUTODESK_INC. Autodesk_INK. [Accessed agosto 2012]. [Online]. Recuperado el de 2012. [Online]. Available: http://investors.autodesk.com/phoenix.zhtml?c=117861&p=irol-reportsAnnual. 2012.

J. Sterman. Business Dynamics, Systems thinking and modelling for a complex world. Ed. McGraw-Hill. New York. 2000. pp. 993.

Y. Barlas. “Formal aspects of model validity and validation in system dynamics”. System Dynamics Review. Vol 12. 1996. pp. 183-210.

ANSYS INC. ANSYS INC. [Accessed 31 julio 2011] [Online]. Available: http://anss.client.shareholder. com/annuals.cfm. 2011.

SYMANTEC CORP. SYMANTEC CORP. [Accessed 31 Julio 2011]. [Online]. Available: http://investor.symantec.com/phoenix.zhtml?c=89422&p=irol-irhomeStock. 2011.

CIMATRON GROUP. CIMATRON GROUP. [Online]. [ Accessed 31 julio 2011]. Available: http://www.cimatron.com/Group/download.aspx?FolderID=3033. 2011.

Ciozone.com. Top 50 Technology R&D Spenders. [Accessed 3 julio 2012] [Online]., Available: http://www.ciozone.com/index.php/Editorial-Research/Top-50-Technology-R&D-Spenders/50-Biggest-R.html. 2012.

Published

2013-01-22

How to Cite

Pérez-Patiño, A. L., & Robledo-Velásquez, J. (2013). Growth of late entrant firms of the software industry: a model of multigenerational product diffusion with network effects. Revista Facultad De Ingeniería Universidad De Antioquia, (65), 60–73. Retrieved from https://revistas.udea.edu.co/index.php/ingenieria/article/view/14175
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