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Systems Analysis of Enterprise Sustainability: Second Edition
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Systems Analysis of Enterprise Sustainability: Second Edition

A special issue of Systems (ISSN 2079-8954).

Deadline for manuscript submissions: 30 November 2025 | Viewed by 2911

Special Issue Editor

Dr. Shanyue Jin

E-Mail Website
Guest Editor
College of Business, Gachon University, Seongnam 13120, Republic of Korea
Interests: corporate sustainability; green innovation; green finance; ESG; digital transformation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the Fourth Industrial Revolution, enterprises must achieve digital, AI, and IoT innovation and interact in innovative environments; in particular, the development of organizational and management systems secures corporate competitiveness in fiercely competitive environments and increases corporate innovation. In this context, the systems deployed by enterprises have rapidly become a catalyst for overall organizational growth and sustainability. This Special Issue will contribute to the expanding field of systems research by comprehensively exploring the various roles played by and verifying the influence systems have on many aspects of enterprises. By sharing up-to-date insights and findings, researchers and practitioners can contribute to the development of strategies for organizational innovation, development, and sustainability.

This Special Issue will comprehensively explore and present the latest advancements in systems, with a focus on system analysis, digital transformation, environmental policy, financial technology, green finance, organizational systems, and ESG.

This Special Issue will cover a wide range of emerging core topics related to systems analysis for enterprise sustainability. We particularly look forward to helping researchers and theoretician scientists to contribute their theoretical and practical knowledge. Specifically, this Special Issue will encourage authors to submit empirical research, system analyses, meta-analyses, and reviews.

Dr. Shanyue Jin
Guest Editor

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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind 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 for corporate sustainability
  • the impact of AI and IoT on the green environment
  • environmental policy and corporate sustainability
  • fintech and corporate sustainability
  • ESG and corporate management
  • green finance and corporate management
  • greenwashing and corporate management
  • organizational system analysis

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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

22 pages, 479 KB  
Article
Sustainability Uncertainty and Supply Chain Financing: A Perspective Based on Divergent ESG Evaluations in China
by Guangfan Sun, Xueqin Hu, Xiaoya Chen and Jianqiang Xiao
Systems 2025, 13(10), 850; https://doi.org/10.3390/systems13100850 - 28 Sep 2025
Viewed by 407
Abstract
Supply chain financing offers advantages over traditional channels such as bank loans and equity financing, including greater flexibility, lower transaction costs, and simplified approval procedures. However, when a firm’s sustainability faces uncertainty, access to supply chain financing may become constrained by multiple factors, [...] Read more.
Supply chain financing offers advantages over traditional channels such as bank loans and equity financing, including greater flexibility, lower transaction costs, and simplified approval procedures. However, when a firm’s sustainability faces uncertainty, access to supply chain financing may become constrained by multiple factors, including the risk tolerance of supply chain partners, market transparency, and corporate reputation. ESG, representing Environmental, Social, and Governance standards, is a critical framework for assessing corporate sustainability performance. Given that divergent ESG evaluations reflect disparate market assessments of a firm’s sustainable development capabilities, such divergence may affect supply chain financing by altering stakeholder trust dynamics. This research examines A-share listed firms in China (2016–2022) and reveals that divergence in ESG evaluations significantly inhibits firms’ access to supply chain financing. Mechanism validation suggests that divergent ESG evaluations amplify informational opacity, operational risks, and negative reputation, thereby influencing supply chain partners’ risk perceptions and trust levels. Heterogeneity analysis shows that corporate governance quality, regional trust levels, and ESG awareness modulate the negative impact of divergent ESG evaluations on supply chain financing. The asymmetric effects of divergent ESG evaluations on supply chain financing are further confirmed, with distinct manifestations between upstream suppliers and downstream customers. By bridging gaps in existing research on divergent ESG evaluations and supply chain finance, this work offers regulatory guidelines, operational recommendations for firms, and investment decision frameworks. Full article
(This article belongs to the Special Issue Systems Analysis of Enterprise Sustainability: Second Edition)
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33 pages, 1093 KB  
Article
Research on the Impact of Digital and Green Transformation on Corporate Sustainability Performance from a Synergistic Perspective
by Yudan Zhu and Chunqing Li
Systems 2025, 13(9), 820; https://doi.org/10.3390/systems13090820 - 18 Sep 2025
Viewed by 609
Abstract
The digital and green transformation (DGT) has emerged as an essential strategy for companies to enhance competitiveness and achieve sustainable development. Current research has primarily concentrated on the effects of either digital or green transformation individually on corporate sustainability performance (CSP), while largely [...] Read more.
The digital and green transformation (DGT) has emerged as an essential strategy for companies to enhance competitiveness and achieve sustainable development. Current research has primarily concentrated on the effects of either digital or green transformation individually on corporate sustainability performance (CSP), while largely neglecting their synergistic impacts. This study emphasizes that DGT influences CSP mainly through two mechanisms: resource synergy, which alleviates financing constraints and optimizes resource allocation, and innovation synergy, which broadens enterprise knowledge scope and enhances innovation quality. Using data from Chinese publicly listed firms from 2015 to 2023, we adopt a two-way fixed-effects model to analyze the impact of DGT on CSP, the underlying mechanisms, and the moderating role of environmental regulations. The findings reveal the following: First, DGT exerts a significant positive influence on CSP, demonstrating a “multiplier effect” compared to the individual impacts of digital or green transformation alone. Second, environmental regulations positively moderate the relationship between DGT and CSP. Finally, DGT has a more pronounced positive impact on CSP in heavily polluting enterprises, under strong market competition environments, and with high intellectual property protection. This study not only enriches the research on DGT at the enterprise level but also provides empirical evidence from emerging economies for policymakers to formulate relevant strategies. Full article
(This article belongs to the Special Issue Systems Analysis of Enterprise Sustainability: Second Edition)
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22 pages, 735 KB  
Article
Enhancing ESG Risk Assessment with Litigation Signals: A Legal-AI Hybrid Approach for Detecting Latent Risks
by Minjung Park
Systems 2025, 13(9), 783; https://doi.org/10.3390/systems13090783 - 5 Sep 2025
Viewed by 637
Abstract
Environmental, Social, and Governance (ESG) ratings are widely used for investment and regulatory decision-making, yet they often suffer from symbolic compliance and information asymmetry. To address these limitations, this study introduces a hybrid ESG risk assessment model that integrates court ruling data with [...] Read more.
Environmental, Social, and Governance (ESG) ratings are widely used for investment and regulatory decision-making, yet they often suffer from symbolic compliance and information asymmetry. To address these limitations, this study introduces a hybrid ESG risk assessment model that integrates court ruling data with traditional ESG ratings to detect latent sustainability risks. Using a dataset of 213 ESG-related U.S. court rulings from January 2023 to May 2025, we apply natural language processing (TF-IDF, Legal-BERT) and explainable AI (SHAP) techniques to extract structured features from legal texts. We construct and compare classification models—including Random Forest, XGBoost, and a Legal-BERT-based hybrid model—to predict firms’ litigation risk. The hybrid model significantly outperforms the baseline ESG-only model in all key metrics: F1-score (0.81), precision (0.79), recall (0.84), and AUC-ROC (0.87). SHAP analysis reveals that legal features such as regulatory sanctions and governance violations are the most influential predictors. This study demonstrates the empirical value of integrating adjudicated legal evidence into ESG modeling and offers a transparent, verifiable framework to enhance ESG risk evaluation and reduce information asymmetry in sustainability assessments. Full article
(This article belongs to the Special Issue Systems Analysis of Enterprise Sustainability: Second Edition)
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19 pages, 1036 KB  
Article
The Causal Impact of Data Elements on Corporate Green Transformation: Evidence from China
by Shaopeng Zhang, Wenxi Han and Xiangyu Wu
Systems 2025, 13(7), 515; https://doi.org/10.3390/systems13070515 - 26 Jun 2025
Cited by 2 | Viewed by 702
Abstract
The positive impact of data elements on enterprise operation has been confirmed by many scholars, but few studies have paid attention to the effect of data elements on corporate green transformation, especially in the context of global climate change. In this study, we [...] Read more.
The positive impact of data elements on enterprise operation has been confirmed by many scholars, but few studies have paid attention to the effect of data elements on corporate green transformation, especially in the context of global climate change. In this study, we employ panel data from Chinese listing firms to identify the casual impact of data elements on corporate green transformation, using the staggered difference-in-differences method. We show that: (a) Data elements exert a significant positive influence on corporate green transformation. This finding holds up in a series of robustness checks; (b) The promoting effect of data elements on green transformation is mediated by alleviating financing constraints and elevating executive green attention; (c) Green governance resilience and green management innovation can strengthen the positive relationship between data elements and green transformation; and (d) The promoting effect is more pronounced in enterprises with larger boards of directors, those located in the eastern regions, and those characterized by higher carbon emission intensities. Overall, we not only provide empirical evidence of optimizing regional data-factor allocation and promoting green technological innovation but also offer theoretical guidance for refining the pathways of corporate green transformation. Full article
(This article belongs to the Special Issue Systems Analysis of Enterprise Sustainability: Second Edition)
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