Big Data: A State-of-the-Art within the Application Area of Smart Factory and Industry 4.0 2021

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 391

Special Issue Editors


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Institute of Business Computer Science / Information Economy, Technische Universität Bergakademie Freiberg, 09559 Freiberg, Germany
Interests: big data; analytics; artificial intelligence; data warehouse; data lake design science and behavioristics
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Department of Economics and Management, Università di Pisa, 10 - 56124 PISA, Italy
Interests: management; business; strategic management; entrepreneurship; business development; strategic planning; innovation; information technology; project management; strategic analysis
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Business Administration Institute, Universität Stuttgart, 70174 Stuttgart, Germany
Interests: business Intelligence & analytics (BIA); BIA and big data; BIA in the cloud; BIA in the internet of things
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Department of Economics and Law, Universita di Macerata, 62100 Macerata, Italy
Interests: economic and financial analysis; bankruptcy prediction models; earnings quality and earnings management; social innovation; circular economy
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Faculty of Business and Commerce, Kansai University, Suita 564-8680, Japan
Interests: management accounting; cost accounting; accounting theory; environmental management accounting
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Special Issue Information

Dear Colleagues,

While enterprises have a good understanding of the impact of digital transformation, based on the advent of big data and their requirements, they struggle to apply this transformation, notably when integrating analytical/digital solutions in their core business and identifying new governance models, according to a study of 4000 CIO and IT managers. Initially introduced as a way to leverage new technologies to face modern challenges, such as resource scarcity, global competition, and demographic changes, the concept of Industry 4.0 was quickly complemented by the notion of a digital transformation of organizations, to emphasize the organizational changes needed to reach the aforementioned goals. One part is the Smart Factory—a term from research in the field of production technology. This is usually a part of the high-tech strategy as part of the future Industry 4.0 project.

In addition to technological drivers, digital strategies and business model innovations are notably mentioned as key drivers of the digital transformation. Nevertheless, literature reviews on the Industry 4.0 highlight that most publications on the subject are technology-centric. Liao et al. identified, in their literature review of 224 papers the need “for a more detailed roadmap regarding the realisation of Industry 4.0”. Meanwhile, Kamble et al. highlighted the lack of studies on the guidelines for the successful implementation of Industry 4.0. These two literature reviews show there are few publications studying the Industry 4.0 as a digital transformation process.

To address this research need, we seek to identify gaps and research on the big-data-related digital transformation process, especially concerning the methods and guidelines to support organizational changes in the context of Industry 4.0, especially the Smart Factory.

Prof. Dr. Carsten Felden
Prof. Dr. Nicola Castellano
Prof. Dr. Henning Baars
Prof. Dr. Bruno Maria Franceschetti
Prof. Dr. Michiyasu Nakajima
Guest Editors

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Keywords

  • Smart Factory in the Industry 4.0
  • Digital transformation
  • Organizational change
  • Dynamic capabilities
  • Image mining and computer vision
  • Usage of big data in the smart factory
  • Machine learning in Industry 4.0
  • Artificial intelligence in Industry 4.0
  • Edge computing in Industry 4.0
  • Architectural consequences in the smart factory

Published Papers

There is no accepted submissions to this special issue at this moment.
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