http://repub.eur.nl/res/aut/1941/ List of Publications en http://repub.eur.nl/static-eur/img/logo.png http://repub.eur.nl http://repub.eur.nl/res/pub/21186/ 2010-11-05T00:00:00Z In this dissertation, I empirically examine system markets up close. More specifically I examine indirect network effects, both demand-side and supply-side indirect network effects. Indirect network effects are the source of positive feedback in system markets, or so network effect theory tells us. Systems are composed of complementary and interdependent products, such as hardware and software. For instance, a video game system is composed of the video game console, on the one hand, and video games, on the other hand. Surprisingly, I find that the positive feedback cycle of indirect network effects is less pervasive, or at least more complex, than “current wisdom” would have us believe. Supply-side and/or demand-side indirect network effects, as traditionally operationalized, are often not present. When present, they display strong heterogeneity. There is often no positive feedback cycle present in the initial stage of the system’s life cycle. Software quantity is of little importance, while software products of exceptional high quality (i.e., superstars) play an important role. Our empirical studies identify numerous factors marketing manager can manipulate to influence the positive feedback cycle. Subsequently marketing managers can incorporate our findings in their marketing strategy, and outmaneuver competitors (i.e., competing systems, fellow complementors). http://repub.eur.nl/res/pub/16604/ 2009-03-01T00:00:00Z Systems are composed of complementary products (e.g., video game systems are composed of the video game console and video games). Prior literature on indirect network effects has argued that in system markets, sales of the primary product (often referred to as "hardware") largely depend on the availability of complementary products (often referred to as "software"). Mathematical and empirical analyses have almost exclusively operationalized software availability as software quantity. However, though not substantiated with empirical evidence, case illustrations show that certain high-quality, "superstar" software titles (e.g., Super Mario 64) may have disproportionately large effects on hardware unit sales (e.g., Nintendo N64 console sales). In the context of the U.S. home video game console market, the authors show that the introduction of a superstar increases video game console sales by an average of 14% (167,000 units) over a period of five months. One in every five buyers of a superstar software title also purchases the hardware required to use the software. Software type does not consistently alter this effect. The findings imply that scholars who study the relationship between software availability and hardware sales need to account for superstar returns and their decaying effect over time, beyond a mere software quantity effect. Hardware firms should maintain a steady flow of superstar introductions because the positive effect of a superstar lasts only five months and, if need be, make side payments to software firms because superstars dramatically increase hardware sales. Hardware firms' exclusivity over superstars does not provide an extra boost to their own sales, but it takes away an opportunity for competing systems to increase their sales. http://repub.eur.nl/res/pub/12339/ 2008-05-15T00:00:00Z Systems are composed of complementary products (e.g., video game systems are composed of the video game console and video games). Prior literature on indirect network effects argues that, in system markets, sales of the primary product (often referred to as "hardware") largely depend on the availability of complementary products (often referred to as "software"). Mathematical and empirical analyses have almost exclusively operationalized software availability as software quantity. However, while not substantiated with empirical evidence, case illustrations show that certain “superstar” software titles of very high quality (e.g., Super Mario 64) may have had disproportionately large effects on hardware unit sales (e.g., Nintendo N64 console sales). In the context of the U.S. home video game console market, we show that the introduction of a superstar increases video game console sales on average by 14%, over a period of 5 months. Software type does not consistently alter this effect. Our findings imply that scholars who study the relationship between software availability and hardware sales, need to account for superstar returns, and their decaying effect over time, over and above a mere software quantity effect. Hardware firms should maintain a steady flow of superstar introductions, as the positive effect of a superstar only lasts for 5 months, and make, if need be, side-payments to software firms, as superstars dramatically increase hardware sales. Obtaining exclusivity over superstars, by hardware firms, does not provide an extra boost to their own sales, but it does take away an opportunity for competing systems to increase their sales. http://repub.eur.nl/res/pub/9406/ 2007-03-28T00:00:00Z Indirect network effects are of prime interest to marketers because they affect the growth and takeoff of software availability for, and hardware sales of, a new product. While prior work on indirect network effects in the economics and marketing literature is valuable, these literatures show two main shortcomings. First, empirical analysis of indirect network effects is rare. Second, in contrast to the importance the prior literature credits to the chicken-and-egg paradox in these markets, the temporal pattern – which leads which? – of indirect network effects remains unstudied. Based on empirical evidence of nine markets, this study shows, among others, that: (1) indirect network effects, as commonly operationalized by prior literature, are weaker than expected from prior literature; (2) in most markets we examined, hardware sales leads software availability, while the reverse almost never happens, contradicting existing beliefs. These findings are supported by multiple methods, such as takeoff and time series analyses, and fit with the histories of the markets we studied. The findings have important implications for academia, public policy and management practice. To academia, it identifies a need for new, and more relevant, conceptualizations of indirect network effects. To public policy, it questions the need for intervention in network markets. To management practice, it downplays the importance of the availability of a large library of software for hardware technology to be successful. http://repub.eur.nl/res/pub/13374/ 2007-01-01T00:00:00Z Indirect network effects are of prime interest to marketers because they affect the growth and takeoff of software availability for and hardware sales of a new product. Although prior work on indirect network effects in the economics and marketing literature is valuable, there are two main shortcomings. First, empirical analysis of indirect network effects is rare. Second, in contrast to the importance prior literature credits to the “chicken-and-egg” paradox in these markets, the temporal pattern (i.e., Which leads to which?) of indirect network effects remains unstudied. Based on empirical evidence of nine markets, this study shows that (1) indirect network effects, as commonly operationalized by prior literature, are weaker than expected from prior literature and (2) in most markets examined, hardware sales “lead” software availability, whereas the reverse almost never happens, contrary to existing beliefs. These findings are supported by multiple methods, such as takeoff and time-series analyses, and fit with the histories of the markets studied herein. For academia, the study identifies a need for new and more relevant conceptualizations of indirect network effects. For public policy, it questions the need for intervention in network markets. For management practice, it downplays the importance of the availability of a large library of software for hardware technology to be successful.