The Microdynamics of Resource Partitioning: Technological Licensing in the Security Software Industry Andrea Fosfuri, Marco S. Giarratana & Szabolcs S. Sebrek Universidad Carlos III de Madrid SIAF – International School for Advanced Education June 12-16, 2006 Volterra (Pisa), Italy Introduction The emergence and importance of market for technologies (Arora et al., 2001) Affect technology related strategies of both suppliers and users Small and young firms: focus on developing technologies instead of commercialization (Gans&Stern, 2003) Licensing agreements as key mechanisms (Anand & Khanna, 2000) The strength of IPR system Research question An interesting aspect of technology trade how licensing strategies interact with a firm’s product strategies? whether and how the firm role in the market for technology (as a buyer or as a seller) conditions the choice of different positions in the product market? Following the resource partitioning approach that distinguishes between specialist and generalist organizations two different product strategies will be examined: • Versioning and • portfolio broadening The Industry Background Security Software Industry New segment of the Software Industry Started in 1989, with a knowledge base from the 1970s World market of $10b in 2002 Highly turbulent sector An example of a Schumpeterian environment Technology-based industry Important level of entry and exit Entry and exit barriers + scale economies Æ LOW Dominated by start-ups Exhibits an active market for technology The Previous Findings Schumpeterian environments product innovation with crucial role consumers’ expectations constantly shift » organizational learning -March (1991) customers, competitors and market Exploration: essential intraorganizational learning Exploitation: external sources of technological knowledge The Previous Findings Given Resource Partitioning approach (Carroll, 1985; Kim et al., 2003) Versioning strategy: release frequently new product or updates of existing one in a specific niche Portfolio strategy: competition in a variety of domains simultaneously Hypothesis 1 Aspects of versioning / specialist strategy Low entry barriers Æ keep core products always updated and at the technological frontier Economies of learning-by-doing + consumers’ feedbacks Specialists: focusing on innovation Æ”state of the art technology” Versioning strategy has its own cost: cannibalization among product generations Remedy: recup the investment by selling the technologies on the market Avoiding new competitors Æ Distant resource space H1: In a resource partitioned enviroment, a specialist strategy is favored by selling the disembodied technology in the market for technology. Hypothesis 2 Aspects of diversification /generalist strategy: broad package of products to costumers entering multiple niches Product variety strongly affects the probability of a firm’s survival (Sorenson, 2000) Moreover, shorter product life-cycles + more and more complex products But to perform a generalist strategy firms need diverse capabilities Scan the environment for technology acquisition purposes H2: In a resource partitioned enviroment, a generalist strategy is favored by buying disemboded technologies in the market for technology. The Sample 540 entrants from 1989-2003 Data on product product versioning and portfolio broadening Standard controls added Two most important covariates are Technology sale and aquisition Logit model to test the probability of making a new version/new niche penetration Variables Dependent variables Specialist strategy. This time variant variable (Specialist) is equal to 1 if the firm releases a new version of the entry product, i.e. the product that has spurred a firm’s entry in the SSI. The variable is calculated for each year of a firm’s permanence in the market. Generalist strategy. This variable (Generalist) is again time variant and is equal to 1 if the firm releases a product in a new niche, viz. a niche where the firm is not competing up to that date. Variables Independent variables Seller. This variable (Seller) captures a firm’s presence in the market for technologies as a seller. To this end, this time variant variable is equal to the cumulative number of contracts signed by a firm as seller of technology in SSI. Acquirer. This variable (Acquirer) measures a firm’s presence in the market for technologies as a buyer. It is again time variant and equal to the cumulative number of contracts signed by a firm as buyer of technology in SSI. Results Table 1. Logit model on the probability to perform a Specialist and a Generalist product strategy Specialist Generalist Beta St.Err. Beta St.Err. Seller 1.85** 0.57 -0.75 0.51 Buyer 0.45 1.45 3.75** 0.99 Entry Patent 4.43** 1.18 2.45** 1.07 Entry Trademark -0.05 0.04 0.01 0.05 Employees 0.56 0.81 0.87 1.09 US Firm 0.2 0.67 0.3 0.63 Age in the Market -1.19 0.67 1.68* 0.76 Density delay 0.03 1.31 4.56** 0.75 LogL -928.44 -927.23 Conclusions the correct functioning of the market for technology is pivotal to realize the resource partitioning dynamics the surviving organizations split in niche specialists and generalists specialist strategy: an aggressive product versioning in the niche that spurred the firm entry generalist strategy: releasing product in different niches of the market » buyer and seller position in the market for technology Thank you for the attention! Complementary material Research setting Our population sample is composed by all firms that have introduced at least one product in the SSI. Product introduction and technology transfer data were taken from Infotrac’s General Business File ASAP and PROMT database (former Predicast) Large set of trade journals, magazines and other specialized press: reports several categories of events We searched for all press articles that reported a “Product announcement”, a “New software release” and a “Software evaluation” in SSI (SIC Code 73726) from 1980 to 2003. Product niches in SSI Authentication digital signature Anti-virus Data storage protection Firewalls Network software security Virtual private network access World market leaders in SSI Network Ass. Symantec RSA Data Sec. Check Point Rainbow Tech. Trend Micro Verisign Aladdin
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