Many innovations today are data-driven, ranging from self driving cars to advanced medical diagnostic tools. The success of data-driven products critically depends on their access to big data. To improve the algorithms of these products, firms make substantial investments in data collection. However, for an individual firm, the accumulation of useful data can be slow, limiting the benefits of the algorithms. Therefore, a key challenge facing governments and policy makers is how to promote data sharing among individual firms. In this monograph, we first discuss unique challenges of data collection and data sharing in innovations, using the autonomous vehicle industry as an example. Then we present findings based on one of our recent research studies that seeks to understand the efficacy of a recent data sharing initiative.
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4 July 2022
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Research Article|
July 04 2022
Data Sharing in Innovations Available to Purchase
Zhi Chen;
Zhi Chen
National University of Singapore
, Singapore
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Jussi Keppo
Jussi Keppo
National University of Singapore
, Singapore
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Online ISSN: 1571-9553
Print ISSN: 1571-9545
© 2022 Z. Chen and J. Keppo
2022
Z. Chen and J. Keppo
Licensed re-use rights only
Foundations and Trends in Technology, Information and Operations Management (2022) 15 (3): 266–281.
Citation
Chen Z, Keppo J (2022), "Data Sharing in Innovations". Foundations and Trends in Technology, Information and Operations Management, Vol. 15 No. 3 pp. 266–281, doi: https://doi.org/10.1561/0200000102-3
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