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International heterogeneity in the associations of new business models and broadband Internet with music revenue and piracy
Authors:Nils Wlömert  Dominik Papies
Affiliation:1. Department of Marketing, Institute for Interactive Marketing & Social Media, Vienna University of Economics and Business, Welthandelsplatz 1, 1020 Vienna, Austria;2. University of Tuebingen, School of Business and Economics, Nauklerstr. 47, 72074 Tuebingen, Germany
Abstract:Broadband Internet has fundamentally changed business models in many industries. In the music industry, for instance, old business models were challenged by illegal competitors, and broadband Internet has enabled value creation through new business models. The changes that established business models experienced in the wake of broadband Internet, however, differed vastly across national markets, and these differences are not well understood. We build a conceptual framework and study the extent to which differences in economic and cultural factors are associated with different market outcomes in the wake of the proliferation of broadband Internet. Thus, we compile two unique data sets from the music industry, comprising (1) revenue data for 36 countries and 22 years and (2) piracy data for 47 countries and >2 years. We use a Bayesian multilevel model to explore between-country heterogeneity in the associations between these variables and broadband Internet adoption and business model innovations. Our results show that the negative association between broadband Internet penetration and music revenue is weaker in high-income countries, where income restrictions are less likely to drive demand towards illegitimate piracy services. In terms of cultural factors, we find that a market's response to the introduction of broadband Internet is less negative in countries scoring high on Hofstede's individualism and uncertainty avoidance dimensions. Furthermore, we find that overall revenues only recover after the latest generation of streaming services (e.g., Spotify) has been introduced, and the adoption of these services is associated with lower levels of online music piracy.
Keywords:Corresponding author.  Business models  National culture  Online piracy  Multilevel modeling  Bayes  Panel data
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