Innovation and Systems Thinking in Operations Management

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 3282

Special Issue Editor


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Guest Editor
Department of Management, California State University, Hayward, CA, USA
Interests: manufacturing; global value chains; firm strategy

Special Issue Information

Dear Colleagues,

This Special Issue, entitled “Innovation and Systems Thinking in Operations Management”, aims to explore the complex world of innovation and operations through the perspective of systems thinking. Systems thinking is a way of analyzing complex systems by looking at how the parts interact and influence each other. This Special Issue aims to examine the intersections between systems thinking and innovation and operations management, highlighting aspects such as supply chain management, innovation ecosystems, technology development, policy and regulatory frameworks, education, sustainability, quality, and entrepreneurship. The intersection of innovation, systems thinking, and operations management is useful for academic exploration, policy development, and management practice. This Special Issue aims to contribute to practical applications in innovation and operations management as well as theory development. The outcome of product innovation in operations management is particularly underdeveloped; a systems perspective would offer the potential for illumination.

We welcome scholars and practitioners to contribute their research and insights to enrich our understanding of the complex, interconnected world of innovation and operations management. We invite submissions that focus on various dimensions of systems thinking in innovation and operations management, including, but not limited to, the following:

  • Exploration of the origins and evolution of systems theory and its application in innovation and operations management.
  • Analysis of how systems thinking aids managers in addressing contemporary challenges like product innovation, quality, regulatory compliance, and technological advancements.
  • Innovation ecosystems: Understanding systemic interactions and interdependencies in innovation ecosystems.
  • Insights into how technological advances influence and are influenced by broader systemic factors.
  • Policy and regulatory frameworks: Examining the impact of policy and regulatory frameworks in terms of innovation.
  • Interdisciplinary approaches and data utilization: Encouragement of interdisciplinary research that employs diverse data sources to deepen our understanding of innovation.
  • Operations education: Insights into the influence of systems thinking on innovation education and policy, with a focus on global practices.
  • Critical perspectives: Examination of the limitations and challenges of applying systems thinking in operations contexts.

Prof. Dr. Gregory Theyel
Guest Editor

Manuscript Submission Information

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Keywords

  • systems
  • innovation
  • operations
  • technology
  • management
  • ecosystems
  • supply chains

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Published Papers (2 papers)

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Research

24 pages, 1554 KB  
Article
The Co-Evolution of Korea’s Last Mile Distribution Sector over Three Decades: An Analysis of Input–Output Models and Networks
by Dohoon Kim
Systems 2026, 14(5), 521; https://doi.org/10.3390/systems14050521 - 7 May 2026
Viewed by 292
Abstract
Ours study focuses on the Last mile Distribution (LD) sector, which has been significantly affected by digital transformation, to examine changes in the Distribution and Logistics (DL) industry from the perspective of the national industrial system. We employed the Input–Output (IO) framework and [...] Read more.
Ours study focuses on the Last mile Distribution (LD) sector, which has been significantly affected by digital transformation, to examine changes in the Distribution and Logistics (DL) industry from the perspective of the national industrial system. We employed the Input–Output (IO) framework and delineated the LD and other DL industries by reconfiguring the generic IO data, which do not specify these sectors. We also constructed industrial relational networks based on the IO analysis outcomes to examine their structural properties further. Our analysis found that the forward linkages of the LD sector have been more significant than its backward linkages, and that the forward linkages tend to strengthen with digital transformation. However, the backward linkages were not strengthened by digital transformation. Network analysis also confirmed the structural hole characteristics of the LD sector and its role as a powerful authority upon which major industries depend. In particular, the latter provides structural support for the strong forward linkage effect of the LD sector. Our findings provide insights into effective policies to digitalize the DL industries. For example, if the LD sector were deregulated in an innovative manner to support the co-evolution of other industries, the national supply chain would be further enhanced. Full article
(This article belongs to the Special Issue Innovation and Systems Thinking in Operations Management)
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18 pages, 524 KB  
Article
Open-Source Collaboration for Industrial Software Innovation Catch-Up: A Digital–Real Integration Approach
by Xiaohong Chen, Qigang Zhu and Yuntao Long
Systems 2025, 13(9), 733; https://doi.org/10.3390/systems13090733 - 24 Aug 2025
Cited by 1 | Viewed by 2207
Abstract
In the era of digital–real integration, open-source collaboration has become a strategic pathway for accelerating the innovation catch-up of China’s industrial software. This study employs an exploratory multi-case design, focusing on the China Automotive Operating System open-source project and the FastCAE open-source domestic [...] Read more.
In the era of digital–real integration, open-source collaboration has become a strategic pathway for accelerating the innovation catch-up of China’s industrial software. This study employs an exploratory multi-case design, focusing on the China Automotive Operating System open-source project and the FastCAE open-source domestic CAE software integrated development platform to examine how open-source strategies shape collaborative mechanisms and innovation outcomes. The analysis reveals that firms adopt both formal (behavioral and outcome coordination) and informal (relationship and empowerment coordination) strategies, fostering high-level complementary collaboration in data, technology, institution, and human resources. These mechanisms significantly enhance R&D efficiency and quality, drive technological innovation, and create new market innovation, thereby improving collaborative performance. The study contributes to theory by linking open-source-driven digital–real integration with industrial software innovation catch-up and offers practical governance recommendations for strengthening China’s industrial software autonomy and ecosystem sustainability. Full article
(This article belongs to the Special Issue Innovation and Systems Thinking in Operations Management)
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