The Strategic Value of Data Sharing in Interdependent Markets

相互依存 价值(数学) 业务 计算机科学 政治学 法学 机器学习
作者
Hemant K. Bhargava,Antoine Dubus,David Ronayne,Shiva Shekhar
出处
期刊:Social Science Research Network [RELX Group (Netherlands)]
被引量:4
标识
DOI:10.2139/ssrn.4739911
摘要

Large, generalist, technology firms—so-called "big-tech" firms—powerful in their primary market, routinely enter secondary markets consisting of specialist firms. Naturally, one might expect a specialist firm to be fiercely protective of its data as a way to maintain its market position in the secondary market. Counter to this intuition, we demonstrate that a specialist firm willingly shares its market data with an intruding tech generalist. We do so by developing a model of cross-market competition in which data collected via consumer usage in each market is a factor of product quality in both markets. We show that a specialist firm shares its data to strategically create co-dependence between the two firms, thereby softening competition and transforming the generalist firm from a traditional competitor into a co-opetitor. For the generalist intruder, data from the specialist firm substitute for its own investments in product quality in the secondary market. As such, the act of sharing data makes the intruder a stakeholder in the valuable data collected by the specialist, and consequently in the specialist's continued success. Moreover, while the firms benefit from data sharing, consumers can be worse off from the weaker price competition and lower investments in innovation. Our results have managerial and policy implications, notably on account of backlash against data collection and the market power of big tech firms.
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