Abstract
The focus of the second chapter of the theoretical framework is to profile modern software markets. First, a brief review of the history is presented which illustrates the background of the main research objects, before fundamental trends in software markets are summarized. In the next step, essential characteristics are identified and outlined. As the profile indicates that software markets are governed by network effects, their impact on valuation in software markets will be reconsidered more closely in Chap. 4.
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Notes
- 1.
Software companies operating in software markets are the main research objects of this study. They are defined as hardware independent firms focusing on research, development, distribution and maintenance of software programs (Gerhardt 1992). Software programs, in turn, allow the execution of information processing operations in order to create, transform and analyze data and information. The broader term computer software describes a collection of programs, procedures and documentation that perform operations on a computer system (Baldi 1998).
- 2.
Please confer Sect. 2.2.
- 3.
Please confer (Naisbitt et al. 2001) for additional information on megatrends of software markets.
- 4.
Please confer also Sect. 7.2.1 for the different roles of adopters in customer networks during this product life cycle.
- 5.
A disruptive technology is a technological progress, product, or service that overturns the existing dominant technologies (Bower and Christensen 1995). Please confer the close relationship to the tipping character explained in Sect. 3.3. Similarly, disruptive innovations are defined as new products in new markets (Bower and Christensen 1995).
- 6.
An illustrative example for regeneration is knowledge which increases if it is shared. Likewise, the value of data can increase over time, such as databases which become more valuable if the amount of data increases.
- 7.
It is important to note that the published statistics are subject to discussion as the Business Software Alliance has a biased perspective on software piracy. Founded in 1988, the Business Software Alliance is a group of large software makers that wants to stop copyright infringements.
- 8.
Please confer Sect. 3.3.1.
- 9.
The initial costs are also known as setup or sunk costs. Both terms describe costs which are not be recovered.
- 10.
Please confer Sect. 3.3.6.
- 11.
Please note the difference between network effects and network externalities, which are present if the market participants fail to internalize these effects. Even if individual users are not likely to directly internalize the effect of their membership, other agents such as the owner of a network may very well internalize them. In such a case, the respective network effects are no longer externalities. Unfortunately, the terminology has been some what mixed in literature (Liebowitz and Margolis 1994). Similarly, network effects are frequently mistaken for economies of scale, which result from business volume rather than interoperability. Therefore, demand-side and supply-side economies of scale are explicitly labeled if a distinction is required.
- 12.
Please note that this specific percentage is frequently termed the critical mass of a network (Economides and Himmelberg 1995). It is defined as the minimal non-zero equilibrium market coverage of a network good or service.
References
Armbrust, M., Fox, A., Griffith, R., Joseph, A., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., & Zaharia, M. (2009). Above the clouds: A berkeley view of cloud computing. Technical report, University of California at Berkeley.
Baldi, S. (1998). Grundlagen der Wirtschaftsinformatik. Mnchen.
Beinhauer, W., Herr, M., & Schmidt, A. (2008). SOA fr Agile Unternehmen. Symposion Publishing.
Bower, J., & Christensen, C. (1995). Disruptive technologies: Catching the wave. Harvard Business Review,Jan-Feb, 43–53.
Box, J. (1983). Extending product lifetime: Prospects and opportunities. European Journal of Marketing,17, 34–49.
BSA (2007). Fourth annual bsa and idc global software piracy study 2006. www.bsa.org/ globalstudy.
D’Aveni, R. (1994). Hypercompetition: Managing the dynamics of strategic maneuvering. New York: Free Press.
Day, G. (1981). The product life cycle: Analysis and applications issues. Journal of Marketing,45, 60–67.
Dhalla, N., & Yuspeh, S. (1976). Forget the product life cycle concept. Harvard Business Review,54, 102–112.
Dybvig, P., & Spatt, C. (1983). Adoption externalities as public goods. Journal of Public Economics,20, 231–247.
Economides, N. (1996). The economics of networks. International Journal of Industrial Organization,14(6), 673–699.
Economides, N., & Himmelberg, C. (1995). Critical mass and network evolution in telecommunications In Toward a competitive telecommunications industry. Selected Papers of Telecommunications Policy Research Conference 1994.
EITO. (2006). European information technology observatory yearbook 2006. European Information Technology Observatory.
Evans, P., & Wurster, T. (2000). Blown to bits: How the new economics of information transforms strategy. Boston, MA: Harvard Business School Press.
Farrell, J., & Saloner, G. (1986). Installed base and compatibility: Innovation, product preannouncement, and predation. American Economic Review,76(4), 940–955.
Gerhardt, T. (1992). Strategie und Struktur in der deutschen Softwareindustrie. Eine industriekonomische Untersuchung der Unternehmensentwicklung in der Softwarebranche. München: VVF-Verlag.
Goldstein, S. (1998). The Role of Brands in the Digital Economy. AT Kearney.
Grantham, L. (1997). The validity of the product life cycle in the high-tech industry. Marketing Intelligence & Planning,15, 4–10.
Groehn, A. (1999). Netzeffekte und Wettbewerbspolitik - Eine ökonomische Analyse der Softwaremarktes. Number 296. Tbingen: Mohr Siebeck, Tübingen. Network Effects in Software Markets.
Grossman, G., & Helpman, E. (1994). Endogenous innovation in the theory of growth. Journal of Economic Perspectives,8, 23–44.
Hecker, M. (1998). Informationsberflutung und deren Vermeidung. Hamburg.
Hoch, D., Roeding, C., Pukert, G., & Lindner, S. (1999). Secrets of software success. Boston, MA: Harvard Business School Press.
Katz, M., & Shapiro, C. (1992). Product introduction with network externalities. Journal of Industrial Economics,40(1), 55–83.
Klein, B., Alchian, A., & Crawford, R. (1978). Vertical integration, approprable rents, and the competitive contracting process. Journal of Law and Economics,21, 297–326.
Korb, J. (2000). Kaufprozesse im Electronic Commerce: Einflüsse veränderter Kundenbedürfnisse auf die Gestaltung. Wiesbaden.
Leibenstein, H. (1950). Bandwagon, snob, and veblen effects in the theory of consumers demand. The Quarterly Journal of Economics,64, 183–207.
Lev, B. (2001). Intangibles - Management, Measurement, and Reporting. Washington, D.C.: Brookings Institution.
Levitt, T. (1965). Exploit the product life cycle. Harvard Business Review,43, 81–94.
Liebowitz, S., & Margolis, S. (1994). Network externality: An uncommon tragedy. The Journal of Economic Perspectives,8(2), 133–150.
Liebowitz, S., & Margolis, S. (1999). Winners, losers, and microsoft: Competition and antitrust in high technology. The Independent Institute.
Naisbitt, J., Naisbitt, N., & Philips, D. (2001). High tech high touch: Technology and Our Accelerated Search for Meaning. London: Nicholas Brealey.
Neugebauer, U., Marock, J., & Bujara, G. (1983). Der Markt fuer Software Systeme und DV-bezogene Dienstleistungen in der Bundesrepublik Deutschland. St. Augustin: GMD Forschungszentrum Informationstechnik, Sankt Augustin.
Porter, M. (2001). Strategy and the Internet. Harvard Business Review,79(winter special Issue), 63–78.
Prahalad, C., & Hamel, G. (1990). The core competencies of the corporation. Harvard Business Review,68(3), 79–91.
Rohlfs, J. (1974). A theory of interdependent demand for a communication service. Bell Journal of Economics and Management Science,5, 16–37.
Scherer, F., Harhoff, D., & Kukies, J. (2000). Uncertainty and the size distribution of rewards from innovation. Journal of Evolutionary Economics,10, 175–200.
Shapiro, C., & Varian, H. (1998). Information Rules: A Strategic Guide to the Network Economy. Harvard: Harvard Business School.
Shy, O. (2000a). Industrial Organization: theory and application. Cambridge: MIT.
Strahringer, S., & Westner, M. (2008). Evaluation criteria for selecting offshoring candidates: An analysis of practices in german businesses. Journal of Information Technology Management,19, 19–34.
Sturm, S. (2003). Bewertung von Unternehmen: Strategie - Markt - Risiko, Chapter Bewertung von geschichtslosen Unternehmen, pp. 207–234.
VDI (1983). Technical report, Verband deutscher Industrie - Technologie Zentrum.
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Kemper, A. (2010). Modern Software Markets. In: Valuation of Network Effects in Software Markets. Contributions to Management Science. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2367-7_3
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