Raiders of the Lost Ark : A Review About the Roots and Application of Artifcial Intelligence

Title data

Buck, Christoph ; Ifland, Sebastian ; Stähle, Philipp ; Thorwarth, Harald:
Raiders of the Lost Ark : A Review About the Roots and Application of Artifcial Intelligence.
In: International Journal of Innovation and Technology Management. Vol. 18 (2021) Issue 8 . - 2150045.
ISSN 0219-8770
DOI: https://doi.org/10.1142/S0219877021500450

Official URL:

Abstract in another language

Artificial Intelligence (AI) receives prominent attention within the innovation context. It is the most promising technological invention in information technology. Nevertheless, Innovation and Technology Management (ITM) so far could not structure the AI field, which offers a disruptive innovative potential. Thus, this article reviews and analyzes the ITM literature and explains the underlying structure of AI. The findings present two main streams of AI literature and, furthermore, explain how to categorize AI use cases. With our results, we assist ITM in explaining and adopting AI to business, which is a huge challenge for companies.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	Artificial Intelligence; AI Use Case; AI Structure; AI Streams
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management and Digital Society Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management and Digital Society > Chair Business Administration VII - Information Systems Management and Digital Society - Univ.-Prof. Dr. Torsten Eymann Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management Faculties Faculties > Faculty of Law, Business and Economics
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	22 Nov 2021 12:14
Last Modified:	07 Dec 2023 13:35
URI:	https://eref.uni-bayreuth.de/id/eprint/67957