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Systems
Special Issues
Supply Chain and Business Model Innovation in the Digital Era
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Supply Chain and Business Model Innovation in the Digital Era

A Special Issue of Systems (ISSN 2079-8954) belonging to the section "Supply Chain Management".

Deadline for manuscript submissions: 28 February 2027 | Viewed by 4614

Editors

Dr. Rizwana Rasheed

E-Mail Website
Guest Editor
Department of Management, Lucille and Jay Chazanoff School of Business, College of Staten Island, City University of New York, New York, NY 10314, USA
Interests: sustainability; management; organizational development; governance; ESG; performance
Special Issues, Collections and Topics in MDPI journals
Dr. Aamir Rashid

E-Mail Website
Guest Editor
Department of Business and Economics, School of Business and Information Systems, York College, City University of New York, New York, NY 11451, USA
Interests: supply chain management; sustainable supply chains; supply chain resilience; manufacturing supply chains; AI-enabled supply chains
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The digital era is fundamentally reshaping the logic of value creation and delivery. This Special Issue, Supply Chain and Business Model Innovation in the Digital Era, seeks to explore the profound, symbiotic relationship between these two domains. We aim to curate cutting-edge research examining how technologies like AI, IoT, blockchain, and data analytics are not merely optimizing supply chain operations but are acting as catalysts for entirely new business models.

We invite contributions that investigate this dual transformation. Topics include digital servitization and platforms, circular and resilient supply chain models, data-driven value propositions, and the strategic alignment of digital supply chain capabilities with innovative revenue architectures. The issue will provide a comprehensive forum for understanding how integration across digital platforms, smart logistics, and customer-centric models creates sustainable competitive advantage.

By bridging theoretical advances with empirical insights, this collection will offer vital guidance for academics and practitioners navigating the convergence of operations, technology, and strategic innovation in today's dynamic global economy.

Dr. Rizwana Rasheed
Dr. Aamir Rashid
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital transformation
  • supply chain innovation
  • business model innovation
  • digital technologies
  • sustainable supply chains
  • supply chain resilience

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

29 pages, 589 KB  
Article
How Supply Chain Digitization Shapes Green Technology Innovation: Evidence on the Moderation of Media Attention and Institutional Investors
by Fan Wang, Hongliang Lu, Qinglian Xue and Ziru Zhao
Systems 2026, 14(9), 1130; https://doi.org/10.3390/systems14091130 - 10 Sep 2026
Viewed by 177
Abstract
In the face of the challenges of the dual carbon strategy, emerging digital technologies are reshaping the landscape of the supply chain and are also transforming the long-term stability and adaptability of green innovation in supply chain firms. Drawing on stakeholder theory and [...] Read more.
In the face of the challenges of the dual carbon strategy, emerging digital technologies are reshaping the landscape of the supply chain and are also transforming the long-term stability and adaptability of green innovation in supply chain firms. Drawing on stakeholder theory and limited-attention theory, this study established a theoretical framework of opportunism behavior and environmentalism behavior on digitization and examined the nonlinear relationship between supply chain digitization and firms’ green technology innovation. Additionally, this study used the machine learning method to construct a supply chain data based on 12,466 firm-year observations from manufacturing firms on supply chain networks. The findings suggest that digitization of upstream and downstream firms has a U-shaped effect on green technology innovation of focal firms from the dual perspectives of opportunism behavior and environmentalism behavior. Importantly, opportunism behavior has a negative mediating effect on the relationship between digitization of upstream and downstream firms and green technology innovation of focal firms. Environmentalism behavior has a positive mediating effect on the relationship between digitization of upstream and downstream firms and green technology innovation of focal firms. Also, we find that media attention and institutional investors positively regulate the nonlinear relationship between digitization of upstream and downstream firms and green technology innovation of focal firms. These findings provide theoretical insights and practical references for the study of digital spillover effects from a supply chain perspective and promoting the development of green supply chains. Full article
(This article belongs to the Special Issue Supply Chain and Business Model Innovation in the Digital Era)
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24 pages, 528 KB  
Article
Digital Transformation, Organizational Learning, and Supply Chain Resilience: An fsQCA Analysis
by Chen Yang, Qian Yang and Yi Lu
Systems 2026, 14(8), 1027; https://doi.org/10.3390/systems14081027 - 20 Aug 2026
Viewed by 394
Abstract
Global supply chains face increasingly frequent disruptions, which require organizations to strengthen supply chain resilience (SCR). Drawing on Organizational Information Processing Theory (OIPT), this study examines how digital transformation and organizational learning combine to enhance SCR. Using data from 61 Chinese high-technology firms, [...] Read more.
Global supply chains face increasingly frequent disruptions, which require organizations to strengthen supply chain resilience (SCR). Drawing on Organizational Information Processing Theory (OIPT), this study examines how digital transformation and organizational learning combine to enhance SCR. Using data from 61 Chinese high-technology firms, fuzzy-set qualitative comparative analysis (fsQCA) identifies two pathways to high SCR. The first is an ambidextrous learning-driven pathway. Exploitative and exploratory learning jointly help firms refine existing routines and develop adaptive responses to disruption-induced uncertainty. The second is a digitally driven pathway. Digital strategic planning and digital ecosystem coordination help firms structure disruption-related information and coordinate responses across supply chain partners. The configurations for non-high SCR further show that exploratory learning is important for interpreting unfamiliar signals and generating adaptive responses. These findings extend OIPT by showing that SCR emerges from distinct forms of fit between information processing requirements and organizational capabilities. They therefore provide a configurational explanation of resilience formation under uncertainty. Full article
(This article belongs to the Special Issue Supply Chain and Business Model Innovation in the Digital Era)
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12 pages, 928 KB  
Article
One Size Does Not Fit All: A Configurational Analysis of Asymmetric Paths to Organizational Resilience for SMEs and Large Enterprises
by An Chin Cheng
Systems 2026, 14(4), 397; https://doi.org/10.3390/systems14040397 - 4 Apr 2026
Viewed by 1156
Abstract
The escalation of geopolitical tensions has forced global manufacturers to reconfigure their supply chains. While Digital Transformation (DT) is widely touted as a primary driver of resilience, traditional variance-based research often assumes a symmetric, linear relationship that applies universally across firms. This study [...] Read more.
The escalation of geopolitical tensions has forced global manufacturers to reconfigure their supply chains. While Digital Transformation (DT) is widely touted as a primary driver of resilience, traditional variance-based research often assumes a symmetric, linear relationship that applies universally across firms. This study challenges this assumption through the lens of Complexity Theory. Viewing supply chains as Complex Adaptive Systems (CASs), we employ Fuzzy-Set Qualitative Comparative Analysis (fsQCA) on a stratified sample of 928 manufacturers in a geopolitical high-risk zone (Taiwan). We identify equifinal pathways to Organizational Resilience, revealing a fundamental asymmetry between organizational types. The results suggest that while large enterprises rely on a resource-intensive strategy—which we term the “Digital Fortress” configurational metaphor (combining high digital maturity and agility as a core condition)—SMEs can achieve high resilience through an “Agile Dodger” configuration, leveraging operational agility and niche positioning without necessitating high digital maturity. This study contributes to the systems literature by mapping the “topology of resilience” and offering tailored configurational pathways that complement traditional variance-based perspectives in volatile ecosystems. Full article
(This article belongs to the Special Issue Supply Chain and Business Model Innovation in the Digital Era)
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23 pages, 626 KB  
Article
Information Sharing, Quality Management, and Firm Performance: The Mediating Role of Supply Chain Agility
by Aamir Rashid, Rizwana Rasheed and Syed Babar Ali
Systems 2026, 14(4), 350; https://doi.org/10.3390/systems14040350 - 25 Mar 2026
Cited by 4 | Viewed by 1926
Abstract
The fashion industry’s business is becoming increasingly complicated and active. This industry is expected to be highly competitive, particularly in the retail sector. Therefore, this research aims to examine the impact of supply chain information sharing and quality management on firm performance, with [...] Read more.
The fashion industry’s business is becoming increasingly complicated and active. This industry is expected to be highly competitive, particularly in the retail sector. Therefore, this research aims to examine the impact of supply chain information sharing and quality management on firm performance, with supply chain agility as a mediating variable, in the Asian fashion industry. A total of 169 participants from the fashion sector in a developing country were surveyed. The proposed hypotheses were examined using a quantitative approach, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS to assess and validate the measurement model. The results indicate that supply chain information sharing and quality management have a significant impact on a firm’s performance. Similarly, the sharing of supply chain information and quality management has a significant impact on firm performance by mediating supply chain agility. The study offers actionable insights for managers in volatile fashion supply chains. Firms can enhance performance by sharing real-time demand and inventory information, strengthening key quality practices, and adopting flexible, data-driven production processes. Integrating information sharing, quality management, and agility enables faster responses to shifting consumer trends, thereby improving overall competitiveness in fast-fashion environments. This study offers valuable guidance for supply chain professionals seeking to enhance practices within their networks. The results underscore the strategic importance of information sharing and quality management in promoting agility, an essential capability for achieving a competitive advantage. Additionally, the insights generated are relevant to practitioners, policymakers, and industry leaders aiming to strengthen supply chain responsiveness and resilience. Full article
(This article belongs to the Special Issue Supply Chain and Business Model Innovation in the Digital Era)
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