Design Framework for the Implementation of AI-based (Service) Business Models for Small and Medium-sized Manufacturing Enterprises
-
Published:2022-03-26
Issue:
Volume:
Page:
-
ISSN:1868-7865
-
Container-title:Journal of the Knowledge Economy
-
language:en
-
Short-container-title:J Knowl Econ
Author:
von Garrel Joerg,Jahn Carlos
Abstract
AbstractIn a globalized world, small- and medium-sized manufacturing enterprises (manufacturing SME) face the challenge of keeping up with global competition. Although AI is ascribed the potential to fundamentally change entire markets, industries, and general business activities, the question remains how SME can implement AI in their operation effectively and efficiently, and therefore build up potential (service) business models. The aim of this paper is to reveal the innovation potential of these systems and to provide instructions on how they can be used by SME. Through these resources can be used more efficiently and new business models can be created. The causes for the little use of AI are numerous and solutions were sought in this work. The result is a socio-technical framework that allows manufacturing SME to build up AI-based (service) business models for themselves.
Funder
Hochschule Darmstadt Hochschule Darmstadt University of Applied Sciences
Publisher
Springer Science and Business Media LLC
Subject
Economics and Econometrics
Reference72 articles.
1. Abu-Rumman, A., Al Shraah, A., Al-Madi, F., et al. (2021). Entrepreneurial networks, entrepreneurial orientation, and performance of small and medium enterprises: Are dynamic capabilities the missing link?. Journal of Innovation and Entrepreneurship, 10, 29. https://doi.org/10.1186/s13731-021-00170-8 2. Adrodegari, F., & Saccani, N. (2017). Business models for the service transformation of industrial firms. The Service Industries Journal, 37(1), 57–83. https://doi.org/10.1080/02642069.2017.1289514 3. Ahlborn, K., Bachmann, G., Biegel, F., Bienert, J., Falk, S., Fay, A., Gamer, T., Garrels, K., Grotepass, J., Heindl, A., Heizmann, J., Hilger, C., Hoffmann, M., Hoffmeister, M., Jochem, M., Kalhoff, J., Kamp, M., Kramer, S., Kosch, B., & Zinke, G. (2019). Technologieszenario “Künstliche Intelligenz in der Industrie 4.0”. Plattform Industire 4.0 Working Paper. Retrieved from https://www.plattform-i40.de/IP/Redaktion/DE/Downloads/Publikation/KI-industrie-40.pdf?__blob=publicationFile&v=10 4. Al-Debei, M. M., & Avison, D. (2010). Developing a unified framework of the business model concept. European Journal of Information Systems, 19, 359–376. https://doi.org/10.1057/ejis.2010.21 5. Al-Gharaibeh, R. S., & Ali, M. Z. (2021). Knowledge sharing framework: A game-theoretic approach. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-020-00710-9
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|