Navigating AI innovation ecosystems in manufacturing: Shaping factors and their implications

Scepanski E, Schömer D, Zillner S, Laumer S (2023)


Publication Type: Conference contribution

Publication year: 2023

Publisher: Association for Information Systems

Conference Proceedings Title: Australasian Conference on Information Systems, ACIS 2023

Event location: Wellington, NZL

Abstract

Manufacturers often encounter challenges when implementing artificial intelligence (AI) in their manufacturing operations. Similar challenges with other digital transformation technologies have resulted in the emergence of innovation ecosystems. In this paper, we aim to demonstrate the emergence of AI innovation ecosystems and highlight the factors that influence their structure in manufacturing. To achieve this, we conducted a qualitative study of ten manufacturing case studies, analyzing different value propositions, activities, actors, and modules in AI ecosystems in the manufacturing sector. We first visualize the AI innovation ecosystems to showcase their structure and then discuss factors such as trustworthiness, scalability, simulation, and cloud that impact the ecosystem structure. Our study provides practitioners with a better understanding of the structure of AI ecosystems and their influencing factors. For researchers, we introduce influencing factors as a new part of the ecosystem-as-structure concept, which can lead to new research opportunities.

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How to cite

APA:

Scepanski, E., Schömer, D., Zillner, S., & Laumer, S. (2023). Navigating AI innovation ecosystems in manufacturing: Shaping factors and their implications. In Australasian Conference on Information Systems, ACIS 2023. Wellington, NZL: Association for Information Systems.

MLA:

Scepanski, Erik, et al. "Navigating AI innovation ecosystems in manufacturing: Shaping factors and their implications." Proceedings of the 34th Australasian Conference on Information Systems, ACIS 2023, Wellington, NZL Association for Information Systems, 2023.

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