1995
DOI: 10.2307/1252012
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Software Piracy: Estimation of Lost Sales and the Impact on Software Diffusion

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Cited by 188 publications
(189 citation statements)
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“…Previous research suggests that piracy can be beneficial for an IPR holder, since pirates accelerate diffusion via word-of-mouth (see Givon et al 1995, andGivon et al 1997). We also found some interesting insights studying the financial loss of the IPR holder due to piracy, that is the difference between the partial derivatives of profits of the IPR holder in a monopolistic scenario (see Π   / in Table 1) and those when pirates are present (see Π   / in Table 2).…”
Section: Comparative Staticsmentioning
confidence: 99%
“…Previous research suggests that piracy can be beneficial for an IPR holder, since pirates accelerate diffusion via word-of-mouth (see Givon et al 1995, andGivon et al 1997). We also found some interesting insights studying the financial loss of the IPR holder due to piracy, that is the difference between the partial derivatives of profits of the IPR holder in a monopolistic scenario (see Π   / in Table 1) and those when pirates are present (see Π   / in Table 2).…”
Section: Comparative Staticsmentioning
confidence: 99%
“…Mahajan et al (2000) point out that new product diffusion models have two different strategic decisions: prelaunch/launch decisions vs. postlaunch decisions. In postlaunch diffusion research, Mahajan et al (2000) illustrate six applications: timing of successive generations, capacity decisions with product diffusion (Jain et al, 1991;Ho, Savin and Terwiesch, 2002), determining the market value on anticipated penetration (Kim, Mahajan and Srivastava, 1995), market saturation assessment and expansion opportunity for the retailers (Mahajan, Sharma, and Kerin, 1988), estimation of lost sales due to pirated sales (Givon, Mahajan and Muller, 1995), and lost sales due to patent infringements (Mahajan, Sharma, and Buzzell, 1993).…”
Section: Multi-function Productsmentioning
confidence: 99%
“…On the empirical side, Givon, Mahajan, and Muller (1995) estimate the degree to which an increase in illegal use of software boosts the demand for buying legal copies. Using data on spreadsheets and word processors in England, they show that although six of every seven software users used pirated copies, these pirates were responsible for attracting more than 80 percent of new software buyers, thereby significantly increasing the legal diffusion of software.…”
Section: Copying and Piracymentioning
confidence: 99%