Data analytics supports decentralized innovation
Lynn Wu, Bowen Lou, Lorin Hitt
| Year of publication: |
2019
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|---|---|
| Authors: | Wu, Lynn ; Lou, Bowen ; Hitt, Lorin M. |
| Published in: |
Management science : journal of the Institute for Operations Research and the Management Sciences. - Catonsville, MD : INFORMS, ISSN 0025-1909, ZDB-ID 206345-1. - Vol. 65.2019, 10, p. 4863-4877
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| Subject: | data analytics | AI | big data | automation | decentralization | organizational complements | innovation | recombination | novel innovation | productivity | economics of IS | Innovation | Big Data | Big data | Dezentralisierung | Decentralization | Data Analytics | Data analytics | Innovationsmanagement | Innovation management | Data Mining | Data mining | Automatisierung | Automation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/mnsc.2019.3344 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012118140