Author List: Lee, Young-Jin; Tan, Yong;
Journal of Management Information Systems, 2013, Volume 30, Issue 3, Page 213-246.
Giving away trial software is a common practice for software developers to maximize the exposure of their products to potential consumers and to minimize the consumers' uncertainty about software quality. There are two types of free trials: (1) freeware, which consists of very basic features of focal software without a time lock, and (2) trialware, which has the full functionality of focal software with a time lock. In this paper, we study what factors make some free-trial software attract more potential adopters than others. Our empirical model under the traditional Bass-type diffusion examines the effects of the different types of free-trial software and ratings on consumer software sampling and reveals the dynamics of sampling over time. Using free-trial software downloading data on Download.com, we observe that the consumer software sampling process can be described by the theory of information diffusion. We find that user ratings affect sampling performance positively and that third-party ratings need to be positive to be effective. Finally, our results do not show any discernible differences between freeware and trialware with regard to their impact on sampling performance. This study contributes to the understanding of software free-trial practice from the perspective of consumer sampling growth of different types of free trials. Our findings can help design free-trial strategies to extrapolate the extent of consumer awareness of focal software and effectively convey its quality information to potential customers.
Keywords: freeware; Hausman-Taylor estimation; information diffusion; online user and third-party ratings; software commercialization; software free trials; software sampling; trialware
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#232 0.265 software development product functionality period upgrade sampling examines extent suggests factors considered useful uncertainty previous called complementarities greater cost present
#235 0.160 diversity free impact trial market time consumer version strategy sales focal premium suggests freemium trials effect include extensions internet products
#208 0.101 feedback mechanisms mechanism ratings efficiency role effective study economic design potential economics discuss profile recent component granularity turn compared using
#5 0.086 consumer consumers model optimal welfare price market pricing equilibrium surplus different higher results strategy quality cost lower competition firm paper
#93 0.076 performance results study impact research influence effects data higher efficiency effect significantly findings impacts empirical significant suggest outcomes better positive
#130 0.069 online users active paper using increasingly informational user data internet overall little various understanding empirical despite lead cascades help availability
#0 0.057 information types different type sources analysis develop used behavior specific conditions consider improve using alternative understanding data available main target