Data Network Effects: Key Conditions, Shared Data, and the Data Value Duality

Autor:	Robert Wayne Gregory, Ola Henfridsson, Evgeny Kaganer, Harris Kyriakou
Rok vydání:	2022
Předmět:	Algebra Data value Computer science Management of Technology and Innovation Strategy and Management Key (cryptography) Duality (optimization) General Business Management and Accounting QA76
Zdroj:	Academy of Management Review. 47:189-192
ISSN:	1930-3807 0363-7425
Popis:	Clough and Wu (2020) provide an interesting and thought-provoking response to our article (Gregory, Henfridsson, Kaganer, & Kyriakou, 2020) on the role of Artificial Intelligence (AI) and data network effects for the creation of user value. We welcome the debate around data network effects as a new category of network effects. In this response note, we build upon the points raised by Clough and Wu (2020) to outline three clarifications to our theory of data network effects concerning: (1) conditions when data network effects accrue, (2) the importance of theorizing shared data, and (3) the model’s ability to explain the cumulative effect of data-driven learning on value creation and value capture.\ud \ud
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3dd94c4c875cc229a7ade36b1e4d001 https://doi.org/10.5465/amr.2021.0111 Zobrazit plný text záznamu Plný text ve formátu PDF