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ORIGINAL RESEARCH article

Front. Ind. Eng.
Sec. Engineering Management
Volume 2 - 2024 | doi: 10.3389/fieng.2024.1407367

Diffusion of AI value-driven Services in the German manufacturing industries - An empirical examination of value-driven service references classified by the Business Modell Canvas

Provisionally accepted
Patrick Berger Patrick Berger *Joerg von Garrel Joerg von Garrel
  • Darmstadt University of Applied Sciences, Darmstadt, Germany

The final, formatted version of the article will be published soon.

    This study investigates the diffusion of AI-based service applications within the business models of German manufacturing industries, surveying 162 decision-makers. The integration of AI into business model is assessed through the Business Model Canvas (BMC) framework, evaluating its value in terms of effectiveness as well as efficiency. Rather than focusing on specific use cases, the study delves into the intended usage of value-driven AI services references to enhance effectiveness and efficiency across various elements of the business model. Through this research, eleven service values have been identified. Each service vale corresponds to a distinct element of the BMC. Decision-makers were surveyed using a Confirmation /Disconfirmation (C/D) paradigm to measure the disparities between their current and target performance levels. Consequently, this study provides valuable insights from the perspective of decision makers regarding the current and desired state of AI integration in the German manufacturing industry, taking into account AI usage or no AI usage at the time of data collection.

    Keywords: AI-based service, Difusion of AI, German manufacturing industries, AI value-driven services, AI-Services, Business Model Canvas (BMC), AI-driven business model

    Received: 26 Mar 2024; Accepted: 31 May 2024.

    Copyright: © 2024 Berger and von Garrel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Patrick Berger, Darmstadt University of Applied Sciences, Darmstadt, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.