JOURNAL ARTICLE

Role of IIoT as New Business Model Innovation in the Manufacturing Industry.

  • Published In: International Journal of Innovation & Technology Management, 2024, v. 21, n. 6. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Mousa, Saeed; Bouraoui, Taoufik 3 of 3

Abstract

The manufacturing Industry in Europe plays a significant role in economic growth and development. Given the increased role of technology in this sector, the Industrial Internet of Things (IIoT) is one of the technological advancements that improve the Business Model (BM) efficacy in various manufacturing industries. However, research into the role of IIoT as a BM in the manufacturing industry is limited despite its contribution to the success and performance of the firms. Therefore, this study explores the role that IIoT plays as a BM in various manufacturing industries. A survey was conducted utilizing open-ended questionnaires across 60 manufacturing firms in Europe including automotive suppliers, information and communication, machine and plant engineering, electrical engineering, and medical engineering. The findings indicate that IIoT as a BM has different levels of contribution across the manufacturing industry with glaring variations in terms of performance between information and communication firms as well as automotive. This study can act as a guideline for further research on the complex relationship between IIoT as a BM and firms' performance to influence decision-making processes within the manufacturing industry. Given that this is a pre-study, the limitations, and recommendations for future research are highlighted. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Innovation & Technology Management. 2024/10, Vol. 21, Issue 6, p1
  • Document Type:Article
  • Subject Area:Economics
  • Publication Date:2024
  • ISSN:0219-8770
  • DOI:10.1142/S0219877024500470
  • Accession Number:180974383
  • Copyright Statement:Copyright of International Journal of Innovation & Technology Management is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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