Artificial Intelligence at the Front End of Innovation: Systematic Literature Mapping
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-29129-6_1
Reference62 articles.
1. Akter, S., et al.: How to build an AI climate-driven service analytics capability for innovation and performance in industrial markets? Ind. Mark. Manag. 97, 258–273 (2021)
2. Blackburn-Grenon, F., et al.: A team-based workshop to capture organizational knowledge for identifying AI proof-of-value projects. IEEE Eng. Manag. Rev. 49(2), 181–195. IEEE (2021)
3. Botha, A.P.: A mind model for intelligent machine innovation using future thinking principles. J. Manufact. Technol. Manag. 30(8), 1250–1264. Emerald Publishing Limited (2019)
4. Chatterjee, S., Chaudhuri, R., Vrontis, D.: Does data-driven culture impact innovation and performance of a firm? an empirical examination. Ann. Oper. Res. 1–26 (2021)
5. Cheah, S., Wang, S.: Big data-driven business model innovation by traditional industries in the Chinese economy. J. Chin. Econ. Foreign Trade Stud. Emerald Publishing Limited (2017)
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