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Volume 13
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Systems, Volume 13, Issue 5 (May 2025) – 75 articles

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27 pages, 3243 KiB  
Article
A Catalyst for the Improvement of Inclusive Public Service: The Role of High-Speed Rail
by Jiangye He, Junwei Wang, Kehu Tan, Chang Ma and Junda Huang
Systems 2025, 13(5), 380; https://doi.org/10.3390/systems13050380 - 14 May 2025
Abstract
Basic public service (BPS) serves as a crucial connection between governments and citizens, impacting the standard of living and well-being of the populace. Can High-Speed Rail (HSR) service incentivize local governments to improve the fiscal competition model of prioritizing production over public service [...] Read more.
Basic public service (BPS) serves as a crucial connection between governments and citizens, impacting the standard of living and well-being of the populace. Can High-Speed Rail (HSR) service incentivize local governments to improve the fiscal competition model of prioritizing production over public service to expand the supply of public services? This study empirically examines the impact of HSR service on the provision of BPS based on panel data from 282 cities in China during the period from 2008 to 2020. The findings indicate that improvements in HSR service significantly stimulate the provision of BPS, a result that withstands various robustness tests. An analysis of mechanisms reveals that HSR service enhances the provision of BPS by mitigating tax competition and fostering fiscal expenditure competition among local governments. Furthermore, this study demonstrates that the positive impact of HSR is more pronounced in cities characterized by high levels of fiscal decentralization and financial autonomy. In western regions and peripheral cities, HSR service has a more pronounced effect on BPS provision. Ultimately, this study offers valuable policy insights for governments to optimize fiscal expenditure structures and bolster social governance capabilities. Full article
(This article belongs to the Section Systems Practice in Social Science)
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30 pages, 1523 KiB  
Systematic Review
Digital Business Model Innovation in Complex Environments: A Knowledge System Perspective
by Luyao Wang, Zhiqi Jiang and Guannan Qu
Systems 2025, 13(5), 379; https://doi.org/10.3390/systems13050379 - 14 May 2025
Abstract
Digital technologies are reshaping how firms create, deliver, and capture value, prompting growing interest in digital business model innovation (DBMI). Despite increasing scholarly attention, the existing research remains fragmented and often assumes stable environments, limiting its applicability in today’s complex and dynamic contexts. [...] Read more.
Digital technologies are reshaping how firms create, deliver, and capture value, prompting growing interest in digital business model innovation (DBMI). Despite increasing scholarly attention, the existing research remains fragmented and often assumes stable environments, limiting its applicability in today’s complex and dynamic contexts. To address this gap, this study conducts a systematic literature review (SLR) to gather and critically synthesize the fragmented and evolving body of knowledge on DBMI. The review identifies key research perspectives, highlights their underlying assumptions, and reveals the limitations in addressing environmental and knowledge complexity. In response, the paper introduces the knowledge system perspective (KSP) as a novel lens that views DBMI as a knowledge-driven, adaptive process. This perspective advances the DBMI literature by integrating knowledge dynamics and contextual complexity, offering a more robust understanding of how firms navigate digital transformation. The study concludes by outlining future research opportunities and providing practical implications for managing DBMI in turbulent environments. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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33 pages, 1136 KiB  
Article
Business Model Innovation: A Bridge Between Corporate Social Responsibility and Successful Performance for Medium-Size Enterprises (SMEs) in the Digital Era
by Mohammadsadegh Omidvar, Maria Giovanna Confetto and Maria Palazzo
Systems 2025, 13(5), 378; https://doi.org/10.3390/systems13050378 - 14 May 2025
Abstract
Business model innovation (BMI) is a topic that has attracted significant interest from both researchers and academics. While research has suggested that there are associations between BMI and corporate social responsibility (CSR), as well as between BMI and firm performance (FP), we lack [...] Read more.
Business model innovation (BMI) is a topic that has attracted significant interest from both researchers and academics. While research has suggested that there are associations between BMI and corporate social responsibility (CSR), as well as between BMI and firm performance (FP), we lack theoretical substantiation and empirical verification of these relationships. This study proposes that BMI mediates the link between CSR and FP. This research aims to investigate the mediating role of BMI between various aspects of CSR, introduced by Carroll, and the performance of medium-size enterprises (SMEs) in Iran. To achieve the research aim, 483 questionnaires were gathered from SMEs in Iran. To evaluate the conceptual model’s validity, structural equation modeling (SEM) was used. The results of this study show that BMI mediates the relationship between all the aspects of CSR introduced by Carroll and FP and only does not mediate the relationship between the environmental dimension and FP. As far as we know, this investigation is among the earliest to explore the relationship between BMI and CSR dimensions through mediation. In response to the increasing significance of environmental issues, this research incorporates a fresh element, namely environmental responsibility, into Carroll’s model. Managers can gain a better understanding of CSR and its impact on FP from the results of this research. This study reveals that managers emphasize certain aspects of CSR which can influence BMI and FP. Full article
(This article belongs to the Special Issue Business Model Innovation in the Digital Era)
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25 pages, 1674 KiB  
Article
Climate Risk, Green Transformation and Green Bond Issuance
by Xiaona Luo and Chan Lyu
Systems 2025, 13(5), 377; https://doi.org/10.3390/systems13050377 - 14 May 2025
Abstract
Under the growing threat of global warming, green bonds have become a pivotal financial instrument to deal with climate change and promote sustainable development. However, the research on the affecting factors of green bond issuance remains scarce in the existing literature, particularly regarding [...] Read more.
Under the growing threat of global warming, green bonds have become a pivotal financial instrument to deal with climate change and promote sustainable development. However, the research on the affecting factors of green bond issuance remains scarce in the existing literature, particularly regarding the external influencing factors. In order to study the impact of climate risks faced by enterprises on green bond issuance and its influence mechanism, this paper takes A-share listed companies issuing green bonds in China as samples from 1 January 2000 to 31 December 2022, adopting the Probit model to study how climate risk faced by enterprises influences green bond issuance. The key findings of the research are as follows: the climate risk positively enhances green bond issuance through green transformation and green innovation. In addition, ownership concentration positively moderates the relationship between climate risk and green bond issuance, while managerial overconfidence negatively moderates the relationship. The effect of climate risk on green bond issuance is greater for larger firms, labor-intensive firms and firms with better environmental performance. Moreover, our research enriches green bond issuance theory, further supports the signal theory of green bonds, and provides theoretical guidance for the development of green bonds in China and other emerging market countries. Full article
(This article belongs to the Special Issue Business Innovation: From Management Systems to Corporate Social Responsibility)
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15 pages, 1731 KiB  
Technical Note
FLAME-GPU for Traffic Systems: A Scalable Agent-Based Simulation Framework
by Maxim Smilovitskiy, Sedar Olmez, Paul Richmond, Robert Chisholm, Peter Heywood, Alvaro Cabrejas, Sven van den Berghe and Sachio Kobayashi
Systems 2025, 13(5), 376; https://doi.org/10.3390/systems13050376 - 14 May 2025
Abstract
Agent-based modelling (ABM) has revolutionised the simulation of complex systems, finding applications in diverse fields such as economic markets and traffic management. By modelling individuals as autonomous agents within a dynamic environment, ABM enables the exploration of system behaviours and the evaluation of [...] Read more.
Agent-based modelling (ABM) has revolutionised the simulation of complex systems, finding applications in diverse fields such as economic markets and traffic management. By modelling individuals as autonomous agents within a dynamic environment, ABM enables the exploration of system behaviours and the evaluation of interventions at various spatiotemporal resolutions. However, the computational intensity of ABM, particularly in large-scale simulations, remains a significant hurdle. This paper presents a novel approach to addressing these challenges through the development of a GPU-accelerated transport model, specifically applied to a road network. Utilising the FLAME-GPU framework, the proposed model demonstrates enhanced scalability and efficiency compared with traditional CPU-based simulations, such as Simulation of Urban MObility (SUMO). Through rigorous comparative analysis, this study highlights significant improvements in simulation speed and the capacity to manage larger vehicle populations. The research underscores the transformative potential of GPU acceleration in mitigating computational constraints within ABM, offering a practical framework for simulating transport systems with greater precision and depth. Extensive experimentation validates the model’s ability to realistically simulate the vehicle population of the Isle of Wight, achieving a balance between computational efficiency and the accurate representation of complex traffic dynamics. Full article
(This article belongs to the Special Issue Advancements in Practical Applications of Agents, Multi-Agent Systems and Digital Twins)
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25 pages, 3203 KiB  
Article
Modeling the Growth Dynamics of Logistics Performance: Industrialization, Environmental Technology, and Economic Transformation in Manufacturing Economies
by Umar Hayyat, Li Qian, Maleeha Saeed and Wajid Nawaz
Systems 2025, 13(5), 375; https://doi.org/10.3390/systems13050375 - 13 May 2025
Abstract
Global manufacturing economies have faced logistics performance challenges in recent decades. This study investigates the influence of industrialization, environmental technology, trade openness, foreign direct investment, and economic growth on the logistics performance index in the top 20 manufacturing economies from 2007 to 2023. [...] Read more.
Global manufacturing economies have faced logistics performance challenges in recent decades. This study investigates the influence of industrialization, environmental technology, trade openness, foreign direct investment, and economic growth on the logistics performance index in the top 20 manufacturing economies from 2007 to 2023. This study used an advanced panel approach to obtain robust results, cross-section dependency, a unit root test and a panel cointegration test. The panel quantile regression (PQL) and panel quantile estimates based on income methods were employed to analyze long-run and short-run estimations. The empirical results show that industrialization accelerated across all the quantiles except at the 10th quantile, while environmental technology had a significantly positive impact on logistics performance across all quantiles (10th–90th). Moreover, our baseline model was further supported by the fact that we used Driscoll–Kraay and Prais–Winsten’s estimates and a panel causality test. Our findings reveal that in manufacturing countries, industrialization, environmental technology, and economic growth have a positive impact on logistics performance. This study proposes several recommendations to improve industrialization and environmental technology in manufacturing countries to promote logistics performance. At the same time, more resources should be allocated for industrialization as well as environmental technologies to promote logistics performance. Full article
(This article belongs to the Special Issue Modeling and Simulation Innovations for Advanced Logistics Systems Management)
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46 pages, 6126 KiB  
Article
Disciplined Delivery and Organizational Design Maturity: A Socio-Technical Evolutionary Journey
by Miguel A. Oltra-Rodríguez, Paul Stonehouse, Nicolas Afonso-Alonso and Juan A. Holgado-Terriza
Systems 2025, 13(5), 374; https://doi.org/10.3390/systems13050374 - 13 May 2025
Abstract
The increasing digitalization of the world underscores the critical importance of both social and technical aspects in software engineering practice. While prior research links socio-technical congruence (STC) to positive workstream outcomes, the current convergence of digital products, technologies, and social systems introduces novel [...] Read more.
The increasing digitalization of the world underscores the critical importance of both social and technical aspects in software engineering practice. While prior research links socio-technical congruence (STC) to positive workstream outcomes, the current convergence of digital products, technologies, and social systems introduces novel and often unpredictable results, driven by the complex interplay of leadership, organizational culture, and software engineering practices operating as a complex adaptive system (CAS). This paper proposes a novel model for adopting socio-cultural practices to bridge the social and technical divide through the lens of STC. The innovation of the model lies in its socio-technical evolutionary journey, built upon dual systems: (1) an analytical System-I focused on enhancing robustness via compliance with Lean and Agile socio-cultural practices, and (2) a holistic System-II emphasizing resilience through an acceptance of interdependence of system actors that requires sense-making techniques. A methodology based on this model was piloted across six case studies: three in an Enterprise IT organization and three in two business units undergoing transformations on Lean and Agile plus DevOps adoption. System-I’s robustness was evaluated through surveys and structured STC maturity assessments (self and guided ones). System-II employed sense-making techniques to foster resilience within the system of work (SoW), laying the groundwork for their evolutionary journeys. The findings reveal a significant need for greater alignment between management (as transformation agents) and software engineering practices. However, the study suggests actionable guidelines, grounded in new principles and mental models for operating within a CAS, to cultivate enhanced resilience and robustness in a VUCA world. Full article
(This article belongs to the Section Systems Practice in Social Science)
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20 pages, 7661 KiB  
Article
Product Cost Calculation in Model-Based Systems Engineering
by Georg Hartmann, Thilo Zerwas, Lisa Domröse, Kathrin Boelsen, Christian Hilger and Simon Schnürer
Systems 2025, 13(5), 373; https://doi.org/10.3390/systems13050373 - 13 May 2025
Abstract
In product development, costs play a major role in making design decisions. As such, it is desirable to have this information as early as possible in the product development process (PDP). The development of systems changes in the direction of Model-Based Systems Engineering [...] Read more.
In product development, costs play a major role in making design decisions. As such, it is desirable to have this information as early as possible in the product development process (PDP). The development of systems changes in the direction of Model-Based Systems Engineering (MBSE) with a system model containing all information. The product costs thus need to be considered in MBSE approaches and system models. In the early stages, cost calculation models are rough estimates and will become more refined over the course of the PDP. The flow of information between the product information and cost calculation models takes a long time, and multiple calculations need to be updated before the product cost can be calculated. In this contribution, we show how cost types like the manufacturing cost or purchase cost can be seamlessly integrated into a hierarchical product structure, and cost calculation models can be linked. We present how cost calculation models with different granularity can be changed over the course of the PDP and how the product cost calculation is affected when a specific factor of the product changes. In this contribution, the case of the electrohydraulic actuator (EHA) developed in the project “Dezentrale Hydraulik II” is used. Full article
(This article belongs to the Special Issue Digital Transformation of Engineering 4.0 and beyond with Model-Based Systems Engineering)
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21 pages, 6759 KiB  
Article
An Enhanced Latent Factor Recommendation Approach for Sparse Datasets of E-Commerce Platforms
by Wenbin Wu, Zhanyong Qi, Jiawei Tian, Bixi Wang, Minyi Tang and Xuan Liu
Systems 2025, 13(5), 372; https://doi.org/10.3390/systems13050372 - 13 May 2025
Abstract
In certain newly established or niche e-commerce platforms, user–item interactions are often exceedingly sparse due to limited user bases or specialized product lines, posing significant obstacles to accurate personalized recommendations. To address these challenges, this paper proposes an enhanced recommendation approach based on [...] Read more.
In certain newly established or niche e-commerce platforms, user–item interactions are often exceedingly sparse due to limited user bases or specialized product lines, posing significant obstacles to accurate personalized recommendations. To address these challenges, this paper proposes an enhanced recommendation approach based on a latent factor model. By leveraging factorization to uncover the hidden features of users and items and incorporating both user behavioral data and item attribute information, a multi-dimensional latent semantic space is constructed to more effectively capture the underlying relationships between user preferences and item properties. The method involves data preprocessing, model construction, user and item vectorization, and semantic-similarity-based recommendation generation. For empirical validation, we employ a real-world dataset gathered from an e-commerce platform, comprising 4645 ratings from 3445 users across 277 items in nine distinct categories. Experimental results demonstrate that, compared with conventional collaborative filtering methods, this approach achieves superior precision and recall even in highly sparse settings, showing stronger resilience under low-density conditions. These findings offer objective and feasible insights for advancing personalized recommendation techniques in newly established or niche e-commerce platforms. Full article
(This article belongs to the Special Issue Data-Driven Methods in Business Process Management)
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30 pages, 3025 KiB  
Article
Analysis of the Features of Capacity Correlation Network and Its Impact on Shipping Freight Rate
by Wei Zheng, Cong Sui and Shang Wang
Systems 2025, 13(5), 371; https://doi.org/10.3390/systems13050371 - 12 May 2025
Viewed by 56
Abstract
This paper utilizes AIS (Automatic Identification System) data to study the micro-level features of the international container capacity correlation network and their impact on shipping freight rates. It proposes, for the first time, constructing a capacity correlation network based on the correlation of [...] Read more.
This paper utilizes AIS (Automatic Identification System) data to study the micro-level features of the international container capacity correlation network and their impact on shipping freight rates. It proposes, for the first time, constructing a capacity correlation network based on the correlation of operational capacity between different shipping routes. This approach captures micro changes in the shipping market by observing the “synchronized increase and decrease” in operational capacity across all routes, whereby “one decreases while the other increases” between routes. Secondly, a continuous synchronization method is introduced to construct a capacity correlation network feature index, reflecting trends in the structural changes in the capacity correlation network. This method establishes the capacity correlation network’s features without causing information loss, while capturing all detailed characteristics of the network and assigning “weights” based on the continuity of all features. Finally, the impact of the capacity correlation network feature index on shipping freight rates is examined. Experimental results indicate that the capacity correlation network feature index has a significant impact on shipping freight rates, which cannot be explained by factors such as supply, demand, or costs. This study is beneficial for revealing the price formation mechanism in the shipping market from a micro perspective. Full article
(This article belongs to the Section Systems Practice in Social Science)
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23 pages, 1127 KiB  
Article
How Big Data Analytics Capability Promotes Green Radical Innovation? The Effect of Corporate Environment Ethics in Digital Era
by Weiwei Wu, Xue Li and Guowei Ruan
Systems 2025, 13(5), 370; https://doi.org/10.3390/systems13050370 - 12 May 2025
Viewed by 55
Abstract
In the digital economy era, firms pursue innovation while also considering their environmental impact to ensure alignment with sustainability. However, existing research offers limited insights into how corporate environmental ethics influence the relationship between big data analytics capabilities (BDACs) and green radical innovation [...] Read more.
In the digital economy era, firms pursue innovation while also considering their environmental impact to ensure alignment with sustainability. However, existing research offers limited insights into how corporate environmental ethics influence the relationship between big data analytics capabilities (BDACs) and green radical innovation (GRI). This study investigates the impact of BDACs, environmental ethics, and GRI, using a sample of 291 firms and integrating resource-based theory with an environmental ethics perspective. Empirical results indicate that environmental ethics positively moderate the positive relationships between the three dimensions of BDAC—managerial, technical, and talent capability—and GRI. Moreover, there are differences in the moderating effects on this relationship. This study enriches boundary condition research on how BDACs impact GRI. Additionally, it contributes to understanding the mechanisms through which environmental ethics affect GRI, highlighting the combined effect of environmental ethics and BDAC. Furthermore, this study advances research on the heterogeneous role of environmental ethics, emphasizing the importance of enhancing corporate environmental ethics in transforming BDA technical capability into GRI. This contribution offers a new perspective on how firms can more effectively leverage their BDAC toward sustainable development. Full article
(This article belongs to the Section Systems Practice in Social Science)
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24 pages, 1097 KiB  
Article
The Moderating Effects of Operations and Supply Chain Issues on Digital Readiness, Value Creation, and Firm Satisfaction
by Rob Kim Marjerison, Jin Young Jun and Jong Min Kim
Systems 2025, 13(5), 369; https://doi.org/10.3390/systems13050369 - 12 May 2025
Viewed by 134
Abstract
Research on the effects of digital transformation in micro and small enterprises (MSEs) is growing, yet remains underdeveloped, particularly in the context of emerging economies. While previous studies highlight the performance benefits of digital readiness, they often overlook how sector-specific challenges influence these [...] Read more.
Research on the effects of digital transformation in micro and small enterprises (MSEs) is growing, yet remains underdeveloped, particularly in the context of emerging economies. While previous studies highlight the performance benefits of digital readiness, they often overlook how sector-specific challenges influence these outcomes. This study investigates the relationship between digital readiness and firm performance among MSEs in Bhutan, with a focus on the moderating roles of internal (operational) and external (supply chain) issues. Drawing on data from 217 survey responses collected from firm owners and operators, this study compares tourism and non-tourism sectors to reveal sectoral asymmetries in digital transformation outcomes. The results show that digital readiness is positively associated with firm performance across both sectors. However, the strength of this relationship is differentially moderated by contextual challenges: external issues negatively moderate the digital readiness–performance link in the tourism sector, while internal issues play a similar moderating role in the non-tourism sector. Additionally, firms in the tourism sector report higher levels of both digital performance and satisfaction with digitalization than their non-tourism counterparts. These findings contribute to the Diffusion of Innovation Theory by emphasizing the contingent and asymmetric nature of digital adoption effects across industry sectors. This study offers practical implications for managers and policymakers by underscoring the need for sector-sensitive digital strategies and support mechanisms. Full article
(This article belongs to the Section Supply Chain Management)
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25 pages, 3862 KiB  
Article
Generic Architecture for Self-Organized Adaptive Platform System of Systems
by Miri Sitton, Rozi Alon and Yoram Reich
Systems 2025, 13(5), 368; https://doi.org/10.3390/systems13050368 - 12 May 2025
Viewed by 158
Abstract
Future systems of systems (SoSs) must adapt rapidly to evolving environments and stakeholder needs, yet conventional system engineering approaches often lack the flexibility to accommodate such change without costly re-engineering. Addressing this gap, this study proposes a novel, generic architecture model for self-organized [...] Read more.
Future systems of systems (SoSs) must adapt rapidly to evolving environments and stakeholder needs, yet conventional system engineering approaches often lack the flexibility to accommodate such change without costly re-engineering. Addressing this gap, this study proposes a novel, generic architecture model for self-organized adaptive platform SoSs, emphasizing a modular, layered structure that enables dynamic integration and reconfiguration of sub-units for diverse missions. The research is grounded in a comprehensive review of complex SoS theory and platform system design, focusing on physical platforms with central management. Methodologically, this study develops a logical architecture for electronics and software, detailing the roles and interactions of each architectural layer and component. The model’s efficacy is demonstrated through its application to the F-35 Joint Strike Fighter, where it identified opportunities to enhance the aircraft’s adaptability and self-organization. Results indicate that early adoption of this generic architecture can significantly reduce design and redesign costs, prevent over-specification, and promote lifecycle adaptability across various platform types—including land, air, and sea systems. The proposed architecture thus offers a robust foundation for future adaptive SoSs, supporting efficient evolution in response to unpredictable operational demands. Full article
(This article belongs to the Special Issue System of Systems Engineering)
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20 pages, 597 KiB  
Article
The Impact of New Quality Productive Forces on the High-Quality Development of China’s Foreign Trade
by Yuan Liu, Dingyun Duan and Zongxian Feng
Systems 2025, 13(5), 367; https://doi.org/10.3390/systems13050367 - 9 May 2025
Viewed by 265
Abstract
The high-quality development of foreign trade is both an inherent need for China’s economic transformation and upgrading and a vital driver for global economic recovery and sustainable development. Analyzing how new quality productive forces empower high-quality trade development and its mechanisms is significant. [...] Read more.
The high-quality development of foreign trade is both an inherent need for China’s economic transformation and upgrading and a vital driver for global economic recovery and sustainable development. Analyzing how new quality productive forces empower high-quality trade development and its mechanisms is significant. Drawing from the theoretical framework of new quality productive forces and the principles of high-quality foreign trade development, this study uses panel data from 30 Chinese provinces (2011–2021) to construct entropy-based indices for new quality productive forces and the high-quality development of foreign trade. A System GMM dynamic panel model is applied to examine their relationship and underlying mechanisms. The empirical results indicate that new quality productive forces significantly promote the high-quality development of foreign trade. Furthermore, their positive impact is more pronounced in eastern regions, provinces implementing the Belt and Road Initiative, and areas with lower resource endowments. Mechanism analysis further reveals that new quality productive forces enhance the high-quality development of foreign trade by optimizing factor matching, deepening industrial division, and intensifying market competition. This study contributes to the literature on the economic effects of new quality productive forces and provides theoretical insights and practical implications for promoting the high-quality development of foreign trade across regions. Full article
(This article belongs to the Section Systems Practice in Social Science)
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22 pages, 2745 KiB  
Article
Industrial Diversification, Entrepreneurship, and Urban Economic Resilience
by Yiwei Chen and Congbin Guo
Systems 2025, 13(5), 366; https://doi.org/10.3390/systems13050366 - 9 May 2025
Viewed by 165
Abstract
Based on the relevant framework of evolutionary geography, this article explores the direct effect of industrial diversification on urban economic resilience and its indirect effect on urban economic resilience through entrepreneurial spirit. The research finds that during the period from 2018 to 2023, [...] Read more.
Based on the relevant framework of evolutionary geography, this article explores the direct effect of industrial diversification on urban economic resilience and its indirect effect on urban economic resilience through entrepreneurial spirit. The research finds that during the period from 2018 to 2023, cities with a stronger degree of industrial diversification demonstrated stronger economic resilience in the face of external shocks. Industrial diversification can not only disperse the risks from external shocks, but more importantly, it can stimulate entrepreneurial spirit, thereby promoting innovation and transformation in industries and enhancing the economic resilience of cities. Full article
(This article belongs to the Section Systems Practice in Social Science)
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30 pages, 2026 KiB  
Article
Research on the Construction Path of Circular Supply Chain with Multiple Subjects: Identification and Analysis of Key Driving Factors Based on Technology Cycle
by Meijing Chen, Ting Wang, Qichen Zhao and Yujie Hu
Systems 2025, 13(5), 365; https://doi.org/10.3390/systems13050365 - 9 May 2025
Viewed by 188
Abstract
The cyclic process of the circular supply chain (CSC) involves many stakeholders, and how to synergistically promote the active participation of different entities in CSC practices in the complex context of interacting factors is an important condition for moving towards low-carbon sustainable development [...] Read more.
The cyclic process of the circular supply chain (CSC) involves many stakeholders, and how to synergistically promote the active participation of different entities in CSC practices in the complex context of interacting factors is an important condition for moving towards low-carbon sustainable development and realizing the economic benefits as well as the competitive advantages of enterprises. Therefore, based on the technology cycle perspective (recycling, remanufacturing, refurbishing, repairing, and reusing), this study combines text mining and bibliometrics to identify CSC drivers, establish a factor prioritization assessment model, and construct a comprehensive framework for a set of CSC implementation pathways covering multiple subjects and multidimensional factor interaction mechanisms. The results emphasize that the most critical drivers are policies and regulations, resource use efficiency, and consumer awareness and attitudes, with contribution rates of 5.1%, 4.5%, and 4.5%, respectively. On this basis, this paper explores the efficiency-enhancing path strategy for the synergistic implementation of CSC by multiple subjects from the perspectives of the four key subjects of CSC. It puts forward policy recommendations to promote the successful implementation of CSC at the level of mechanism construction and specific operation, to provide theoretical guidance for the cooperation of upstream and downstream subjects. Full article
(This article belongs to the Section Supply Chain Management)
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19 pages, 5739 KiB  
Article
Integrating Stakeholder Knowledge Through a Participatory Approach and Semi-Quantitative Analysis for Local Watershed Management
by Jofri Issac and Robert Newell
Systems 2025, 13(5), 364; https://doi.org/10.3390/systems13050364 - 8 May 2025
Viewed by 202
Abstract
Watersheds are threatened by numerous issues, such as climate change, population growth, urban expansion, and industrial development. These issues are complex and interconnected, and effectively addressing them requires integrating the values, knowledge, and expertise of various governing bodies, local organizations, and community members, [...] Read more.
Watersheds are threatened by numerous issues, such as climate change, population growth, urban expansion, and industrial development. These issues are complex and interconnected, and effectively addressing them requires integrating the values, knowledge, and expertise of various governing bodies, local organizations, and community members, all of whom have their own viewpoints and priorities. The current study employs a participatory approach and systems lens to engage different stakeholders in the complexity of watershed issues and management approaches. Using participatory modeling and semi-quantitative scenario analysis techniques, the study identifies relationships among watershed values, challenges, and strategies as well as the dynamics of these relationships. A fuzzy cognitive map was developed, which consists of 53 nodes (i.e., 13 values, 12 challenges, and 28 strategies) and 113 connections. Biodiversity, mental health, and sense of place emerged as key values, as they exhibited high centrality values when analyzing the system, and challenges like invasive species and urban sprawl were found to exert considerable impacts on these values. Strategies such as establishing and expanding greenspace, community stewardship, and governance-based interventions were identified as critical for addressing watershed challenges and enhancing watershed values. The study identified a series of governance-based strategies that focus on resource allocation, participatory governance, and institutional collaboration to address watershed management challenges as well as a set of engagement-based strategies that focus on environmental communication and public awareness. The study demonstrates the potential that participatory modeling and semi-quantitative analysis techniques can have for integrating both tangible, measurable values and intangible, difficult-to-measure values into planning and policymaking. The research reinforces the idea that local governments play a critical role in fostering inclusive and collaborative watershed management strategies. Full article
(This article belongs to the Special Issue Systems Thinking: Insights and Solutions to Complex Societal Challenges)
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18 pages, 3300 KiB  
Article
Technological Catch-Up Performance: The Interplay Between Collaboration Networks and Knowledge Networks
by Xiaoji Wan, Jiangmei Li, Jing Lai and Liping Zhang
Systems 2025, 13(5), 363; https://doi.org/10.3390/systems13050363 - 8 May 2025
Viewed by 195
Abstract
In the digital era, technological catch-up is inevitable for firms confronted with intensified competition, rapid technological advancements, and customers’ upgrade requirements. By strengthening their cooperation with external parties and integrating internal knowledge, firms can better absorb internal and external resources, accelerating their technological [...] Read more.
In the digital era, technological catch-up is inevitable for firms confronted with intensified competition, rapid technological advancements, and customers’ upgrade requirements. By strengthening their cooperation with external parties and integrating internal knowledge, firms can better absorb internal and external resources, accelerating their technological catch-up performance (TCP). This study mainly explores the influence of collaboration and knowledge networks on the TCP of firms based on machine learning algorithms. First, patent data from the Chinese AI industry from 2013 to 2022 were used to construct collaboration and knowledge networks. Then, the hierarchical clustering algorithm was applied to categorize firms based on six network characteristics. Finally, the classification and regression trees (CART) algorithm was employed to analyze the nonlinear relationship between dual networks and firm TCP. The findings show that firms exhibit distinct network configurations and that the drivers of TCP vary across firm groups. For firms lagging behind, prioritizing knowledge network integration proves more effective than expanding collaborations. Leading firms perform best when maintaining balanced collaboration strategies. This study contributes to both theory and practice by identifying the optimal mix of network characteristics and providing empirically grounded strategies for different firm types. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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32 pages, 3556 KiB  
Article
The Dynamic Impact of Industrial Robot Penetration on Chain Resilience: City Evidence from China
by Rendao Ye and Yilan Zhang
Systems 2025, 13(5), 362; https://doi.org/10.3390/systems13050362 - 7 May 2025
Viewed by 119
Abstract
Nowadays, the security and stability of the global industrial chain are facing unprecedented challenges. In this context, understanding how industrial robots affect chain resilience is key to promoting high-quality economic development. This study focuses on 104 cities in the Yangtze River Delta, using [...] Read more.
Nowadays, the security and stability of the global industrial chain are facing unprecedented challenges. In this context, understanding how industrial robots affect chain resilience is key to promoting high-quality economic development. This study focuses on 104 cities in the Yangtze River Delta, using data from 2006 to 2021. It applies a threshold regression model and a spatial Durbin model to examine how industrial robot penetration drives chain resilience and how its effects spread across regions. The results reveal three main findings: First, the integration of advanced manufacturing and modern services, together with strong urban innovation capacity, plays a significant role in enhancing industrial chain resilience. Second, this study evaluates policy experiments, such as Low-Carbon City and Broadband China initiatives, using a multi-period difference-in-differences model. The findings show that pilot cities involved in these programs demonstrate higher levels of chain resilience. Third, the relationship between robot penetration and chain resilience shows clear spatial and temporal patterns. Cities with higher robot usage tend to drive development in surrounding areas. This, in turn, encourages more intensive production and fosters stronger coordination across industries. Overall, this study contributes to the growing body of research on chain resilience. More importantly, it offers practical policy insights. Governments and regional firms can work together to build a new development model that enhances resilience and supports long-term economic stability. Full article
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24 pages, 4880 KiB  
Article
The Global Industrial Robot Trade Network: Evolution and China’s Rising International Competitiveness
by Huijie Yang, Shaobin Wei, Haiyan Zhou, Feng Hu, Yufeng Chen and Hao Hu
Systems 2025, 13(5), 361; https://doi.org/10.3390/systems13050361 - 7 May 2025
Viewed by 219
Abstract
This paper examines the spatial and temporal evolution of the global industrial robot trade network (GIRTN) from 2000 to 2023 using complex network analysis, and it systematically evaluates China’s position in the GIRTN and its evolutionary trend by combining node reciprocity, the industry [...] Read more.
This paper examines the spatial and temporal evolution of the global industrial robot trade network (GIRTN) from 2000 to 2023 using complex network analysis, and it systematically evaluates China’s position in the GIRTN and its evolutionary trend by combining node reciprocity, the industry concentration index, the Herfindahl–Hirschman index, and betweenness centrality. The study shows that the GIRTN is characterized by significant imbalance, a “small world”, and weak reciprocity. Traditional industrial countries such as Japan, Germany, and France have dominated the global market for a long time, accounting for more than 80% of the market share. However, market imbalances have been mitigated with the rise of emerging economies such as China, South Korea, and Singapore. Despite increasing global trade linkages, there are significant differences in trade intensity. China’s position and competitiveness in the GIRTN have significantly improved, as demonstrated by its continued rise in the ranking of total exports, the improvement in the attractiveness and quality of its products, the diversification of its trading partners, and the optimization of its export structure. These changes indicate that China has gained significant competitive advantages and has great potential for development. Full article
(This article belongs to the Section Complex Systems and Cybernetics)
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19 pages, 2123 KiB  
Article
Decision-Making in Complementary Products Supply Chain: Game Theory and Sensitivity Analysis
by Jiashu Cai, Yong Wang, Xi Wang, Jiamin Zhang and Lihui Wang
Systems 2025, 13(5), 360; https://doi.org/10.3390/systems13050360 - 7 May 2025
Viewed by 131
Abstract
This paper explores how to reduce supply-demand conflicts in supply chains by utilizing complementary products’ unique relationships and shared objectives. Also, it considers the service level concerns of consumers. Primarily employing game theory, this paper analyzes the pricing strategies of complementary products within [...] Read more.
This paper explores how to reduce supply-demand conflicts in supply chains by utilizing complementary products’ unique relationships and shared objectives. Also, it considers the service level concerns of consumers. Primarily employing game theory, this paper analyzes the pricing strategies of complementary products within a three-tier dual-channel supply chain, the relationship between pricing and service levels, and the performance optimization across channels. Numerical results demonstrate that elevated values of α1 indicate heightened consumer sensitivity to manufacturer price fluctuations. To sustain sales volume, manufacturers are compelled to reduce prices, consequently leading to a decline in equilibrium prices within the market. A rise in β1 induces an across-the-board increase in all price tiers, albeit with differential magnitudes. The intensification of channel competition α2 exerts downward pressure on all pricing components. The retailer’s price demonstrates maximal responsiveness to β2 fluctuations, as retailers directly absorb cost variances. Full article
(This article belongs to the Section Supply Chain Management)
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27 pages, 3753 KiB  
Article
Empirical Insights into Economic Viability: Integrating Bitcoin Mining with Biorefineries Using a Stochastic Model
by Georgeio Semaan, Guizhou Wang, Tunç Durmaz and Gopalakrishnan Kumar
Systems 2025, 13(5), 359; https://doi.org/10.3390/systems13050359 - 7 May 2025
Viewed by 152
Abstract
This study explores integrating Bitcoin mining with lignocellulosic biorefineries to create an additional revenue stream. Profits from mining can help offset internal costs, reduce business expenses, or lower consumer prices. Using sensitivity analysis and Monte Carlo simulations, this study identifies key profitability drivers, [...] Read more.
This study explores integrating Bitcoin mining with lignocellulosic biorefineries to create an additional revenue stream. Profits from mining can help offset internal costs, reduce business expenses, or lower consumer prices. Using sensitivity analysis and Monte Carlo simulations, this study identifies key profitability drivers, such as electricity costs, hardware expenses, starting year, and operational time. Time emerged as an extremely sensitive factor and showed that delaying mining operations significantly raised production costs and the probability of profitable outcomes. In contrast, longer mining durations had a smaller yet sizable impact. Hardware costs, computational efficiency, and electricity prices also strongly influenced the outcomes. The majority of simulated events showed a loss. Moreover, the model showed that the marginal profitability of mining decreases over time. Nonetheless, the model demonstrated that under favourable conditions, it is possible to integrate Bitcoin mining into biorefineries and other productive ventures, thereby allowing for cost recovery using Bitcoin profits. For a biorefinery to mine Bitcoin and maximise cost recovery, it must start early, access low electricity prices, and preserve hardware capital characterised by low expenditure and high revenues. Finally, a discussion about the opportunities, risks, and regulations is highlighted. Full article
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18 pages, 1240 KiB  
Article
The Role of Strategic Orientations in the Relationship Between Adaptive Marketing Capabilities and Ambidexterity in Digital Services Firms: The Case of a Highly Competitive Digital Economy
by Madhad Ali Said Al Jabri and Abdelmounaim Lahrech
Systems 2025, 13(5), 358; https://doi.org/10.3390/systems13050358 - 7 May 2025
Viewed by 133
Abstract
As the digital economy progresses aggressively in the UAE, the ways in which different players in the economy interact with each other are changing. Therefore, strategic orientations that enable successful interactions have become a necessity. This study aims to investigate the impact of [...] Read more.
As the digital economy progresses aggressively in the UAE, the ways in which different players in the economy interact with each other are changing. Therefore, strategic orientations that enable successful interactions have become a necessity. This study aims to investigate the impact of adaptive marketing capability on market ambidexterity in the presence of strategic orientations. It examines the outside-in and inside-out strategies that form the dynamic capabilities of firms. Furthermore, this study identifies how strategic orientations enable higher firm ambidexterity in highly competitive digital business environments as in the case of the UAE. A quantitative deductive approach using a survey is followed in order to test the proposed hypotheses. The data were collected from senior management-level individuals in 75 firms with the careful selection of demographics. Our study demonstrates a strong correlation between adaptive marketing capability and market ambidexterity. Furthermore, strategic orientations, which are characterised by a culture of proactiveness, responsiveness, and innovativeness, are found to positively mediate the relationship between adaptive marketing capability and market ambidexterity. Additionally, there exists a positive and direct relationship between adaptive marketing capability and market ambidexterity. Finally, this study provides important contributions regarding new forms of dynamic capabilities, such as adaptive marketing capability and market ambidexterity, under the specific intervention of strategic orientations, thus enhancing the body of knowledge on ambidexterity and dynamic capability, which is vital in the digital era. It also presents an enhanced empirical model reflecting the relationships between adaptive marketing capabilities, strategic orientations, and market ambidexterity from both the inside-out and outside-in perspectives. Full article
(This article belongs to the Section Systems Practice in Social Science)
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30 pages, 2746 KiB  
Article
Does the Adoption of Industrial Internet Platforms Expand or Reduce Geographical Distance to Customers? Evidence from China’s New Energy Vehicle Industry
by Jiange Lin, Weisheng Mao and Xuehan Lin
Systems 2025, 13(5), 357; https://doi.org/10.3390/systems13050357 - 7 May 2025
Viewed by 117
Abstract
Industrial Internet Platforms (IIPs) provide critical value for supply chain management. The motivation for value creation and capture by supplier firms increasingly depends on acquiring and processing customer-oriented information, with geographical distance to customers being a key factor in assessing costs and benefits. [...] Read more.
Industrial Internet Platforms (IIPs) provide critical value for supply chain management. The motivation for value creation and capture by supplier firms increasingly depends on acquiring and processing customer-oriented information, with geographical distance to customers being a key factor in assessing costs and benefits. This study investigates whether firms’ IIP adoption increases or decreases the geographical distance to their customers, utilizing supply chain data and digital transformation metrics from China’s A-share listed firms in the new energy vehicle industry. The study finds that an increased adoption level of IIPs by focal firms leads to a greater average geographical distance to their customers. This conclusion remains valid after addressing endogeneity concerns and performing several robustness checks. Moreover, the effect of IIP adoption on expanding the geographic scope of sales is significant when the focal firm is more specialized in the supply chain, more socially embedded, located in China’s eastern region, or acts as an upstream/downstream complement to complete vehicle manufacturers. No significant difference in the impact of IIP adoption is observed between private and state-owned enterprises. This study combines platform innovation and transaction cost theories, offering new insights and policy implications regarding the spatial impact of digital technology adoption in advanced manufacturing and related service industries. Full article
(This article belongs to the Special Issue New Trends in Sustainable Operations and Supply Chain Management)
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18 pages, 968 KiB  
Article
Is Economies of Scale Driving Everything as a Service?
by Thomas Laudal
Systems 2025, 13(5), 356; https://doi.org/10.3390/systems13050356 - 7 May 2025
Viewed by 107
Abstract
Everything as a Service (XaaS) is commonly understood as the general tendency to replace sales contracts with service contracts. Most research in this area agrees that XaaS is a trend, but it points to many drivers. It could be strategies improving customers’ expense [...] Read more.
Everything as a Service (XaaS) is commonly understood as the general tendency to replace sales contracts with service contracts. Most research in this area agrees that XaaS is a trend, but it points to many drivers. It could be strategies improving customers’ expense model, servitization strategies, customer feedback, mass customisation, and machine learning. However, we do not find contributions considering the relationship between XaaS and economies of scale. When sales contracts are replaced by service contracts, ownership is elevated from the customer to the provider. Thus, possible benefits from economies of scale linked to the ownership of products are then also elevated from the customer to the provider. In this article, we consider the claim that economies of scale may be an underlying driver of the XaaS trend. A review of 140 firms shows that the products with the greatest potential for economies of scale are the ones most frequently provided as a service. This suggests that economies of scale linked to ownership are an underlying driver of XaaS. Thus, ownership-related economies of scale may be a predictor of XaaS. Full article
(This article belongs to the Special Issue Systemic Optimization in Sustainable Business Operations: Theory and Practice)
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24 pages, 1152 KiB  
Article
Resource Bricolage, Digital Transformation, and Business Model Innovation: Based on the Conditional Process Analysis of Entrepreneurship
by Xinyuan Wang, Zhenyang Zhang and Dongphil Chun
Systems 2025, 13(5), 355; https://doi.org/10.3390/systems13050355 - 7 May 2025
Viewed by 106
Abstract
Business model innovation represents a critical pathway for firms to create value and enhance competitiveness, yet innovation processes are frequently constrained by resource limitations. To explore the determinants of business model innovation, we developed a theoretical framework examining the influence mechanism of resource [...] Read more.
Business model innovation represents a critical pathway for firms to create value and enhance competitiveness, yet innovation processes are frequently constrained by resource limitations. To explore the determinants of business model innovation, we developed a theoretical framework examining the influence mechanism of resource bricolage on business model innovation, introducing digital transformation as a mediating variable and entrepreneurship as a moderating variable. We conducted an empirical study by surveying 263 entrepreneurs across China. Using Model 59 in the PROCESS macro for SPSS, we performed conditional process analysis, revealing that both resource bricolage and digital transformation positively influence business model innovation, and resource bricolage facilitates digital transformation. Furthermore, digital transformation partially mediates the relationship between resource bricolage and business model innovation, while entrepreneurship positively moderates the relationships among resource bricolage, digital transformation, and business model innovation, with higher levels of entrepreneurship demonstrating stronger moderating effects. Our findings suggest that organizations pursuing business model innovation must consider the integrated effects of multiple factors within a systems perspective. Full article
(This article belongs to the Section Systems Practice in Social Science)
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42 pages, 1345 KiB  
Article
Unraveling the Nexus Between Competition and Banking Efficiency in an Emerging Economy: A Two-Stage Stochastic Frontier Analysis Framework
by Muhammad Mateen Naveed, Tingli Liu, Sohaib Mustafa and Xiangtang Chen
Systems 2025, 13(5), 354; https://doi.org/10.3390/systems13050354 - 6 May 2025
Viewed by 162
Abstract
Pakistan’s banking sector faces a critical juncture as rising competition intersects with uneven efficiency, jeopardizing financial stability. This study employs a two-stage empirical framework: (1) evaluating cost-efficiency (CE) evolution via a novel stochastic frontier analysis (SFA) framework incorporating desirable and undesirable outputs (e.g., [...] Read more.
Pakistan’s banking sector faces a critical juncture as rising competition intersects with uneven efficiency, jeopardizing financial stability. This study employs a two-stage empirical framework: (1) evaluating cost-efficiency (CE) evolution via a novel stochastic frontier analysis (SFA) framework incorporating desirable and undesirable outputs (e.g., nonperforming loans) and (2) assessing competition’s impact using a novel multi-product Lerner index across loan, deposit, and asset markets, analyzed via a two-step dynamic panel data system generalized method of moments. The first stage reveals an average CE of 81%, with significant ownership-based disparities. The second stage shows that market power enhances CE overall, supporting the banking-specificity hypothesis, suggesting that regulators balance competition with operational scale benefits. However, market power exhibits duality such as elevating CE in high-efficiency quartile banks but reducing it in low-efficiency quartile ones, confirming the efficient structure hypothesis. This highlights the need for policies promoting efficiency-driven consolidation and addressing structural bottlenecks in underperforming banks. Bank-specific and macroeconomic factors also significantly influence CE. The findings offer a policy roadmap to cultivate a competitive, efficient banking ecosystem, fostering sustainable economic growth. Full article
(This article belongs to the Section Systems Practice in Social Science)
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34 pages, 1952 KiB  
Article
Using Large Language Models to Embed Relational Cues in the Dialogue of Collaborating Digital Twins
by Sana Salman and Deborah Richards
Systems 2025, 13(5), 353; https://doi.org/10.3390/systems13050353 - 6 May 2025
Viewed by 134
Abstract
Embodied Conversational Agents (ECAs) serve as digital twins (DTs), visually and behaviorally mirroring human counterparts in various roles, including healthcare coaching. While existing research primarily focuses on single-coach ECAs, our work explores the benefits of multi-coach virtual health sessions, where users engage with [...] Read more.
Embodied Conversational Agents (ECAs) serve as digital twins (DTs), visually and behaviorally mirroring human counterparts in various roles, including healthcare coaching. While existing research primarily focuses on single-coach ECAs, our work explores the benefits of multi-coach virtual health sessions, where users engage with specialized diet, physical, and cognitive coaches simultaneously. ECAs require verbal relational cues—such as empowerment, affirmation, and empathy—to foster user engagement and adherence. Our study integrates Generative AI to automate the embedding of these cues into coaching dialogues, ensuring the advice remains unchanged while enhancing delivery. We employ ChatGPT to generate empathetic and collaborative dialogues, comparing their effectiveness against manually crafted alternatives. Using three participant cohorts, we analyze user perception of the helpfulness of AI-generated versus human-generated relational cues. Additionally, we investigate whether AI-generated dialogues preserve the original advice’s semantics and whether human or automated validation better evaluates their lexical meaning. Our findings contribute to the automation of digital health coaching. Comparing ChatGPT- and human-generated dialogues for helpfulness, users rated human dialogues as more helpful, particularly for working alliance and affirmation cues, whereas AI-generated dialogues were equally effective for empowerment. By refining relational cues in AI-generated dialogues, this research paves the way for automated virtual health coaching solutions. Full article
(This article belongs to the Special Issue Advancements in Practical Applications of Agents, Multi-Agent Systems and Digital Twins)
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32 pages, 9322 KiB  
Article
A Novel Centrality-Based Attack Simulation: Evaluating Resilience and Vulnerability in China’s Knowledge Networks
by Tianxing Zhu, Jinyang Liu, Changxin Song, Xuan Miao and Sheng Zhu
Systems 2025, 13(5), 350; https://doi.org/10.3390/systems13050350 - 5 May 2025
Viewed by 167
Abstract
Existing research on the vulnerability of knowledge innovation networks (KINs) primarily falls into two categories: random attacks and deliberate attacks. This study introduces a novel centrality-based attack framework for the deliberate attack group and systematically examines the impact of different attack mechanisms (such [...] Read more.
Existing research on the vulnerability of knowledge innovation networks (KINs) primarily falls into two categories: random attacks and deliberate attacks. This study introduces a novel centrality-based attack framework for the deliberate attack group and systematically examines the impact of different attack mechanisms (such as loss of connectivity, propagation delays, and structural fragmentation) on KINs. Using SCI/SSCI co-authorship data across 286 Chinese cities, this research evaluated network resilience through six key metrics, average clustering coefficient, average degree, average path length, global efficiency, isolated nodes ratio, and largest connected component ratio, thus revealing three key conclusions: First, network density and regional integration surged after 2015, peaking in localized clustering during 2021–2022; yet, post-2022, structural fragmentation and efficiency declines exposed critical vulnerabilities. Second, network disruption simulations revealed that attacks based on structural fragmentation mechanisms have the most significant impact, demonstrating the need to promote polycentric development to reduce core dependency risks and highlighting the importance of protecting high-centrality nodes such as Beijing, Shanghai, and Shenzhen. Third, the inhibitory effect of economic proximity weakened significantly by 2024, suggesting reduced economic disparity barriers to collaboration. Notably, emerging synergies between geographic and economic proximity enhanced innovation cooperation potential, emphasizing spatial–economic coordination as a crucial factor in development-stage planning. By integrating spatiotemporal dynamics with attack taxonomy, our framework advances network theory and equips policymakers with actionable strategies to optimize knowledge flows and mitigate systemic risks. Bridging structural resilience with innovation-driven development, this study offers new insights into China’s urban knowledge networks. Full article
(This article belongs to the Section Systems Practice in Social Science)
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18 pages, 2032 KiB  
Article
Research on the Impact of Digital Innovation Ecosystem Niche Suitability for High-Quality Economic Development
by Yabing Ma, Yongheng Fang and Jiamin Liu
Systems 2025, 13(5), 352; https://doi.org/10.3390/systems13050352 - 4 May 2025
Viewed by 232
Abstract
This paper selects the relevant data of 30 provinces and cities in China from 2010 to 2022 as samples. By constructing a digital innovation ecosystem (DIES) niche suitability model, the overall and regional differences in China’s DIES niche suitability were analyzed. On this [...] Read more.
This paper selects the relevant data of 30 provinces and cities in China from 2010 to 2022 as samples. By constructing a digital innovation ecosystem (DIES) niche suitability model, the overall and regional differences in China’s DIES niche suitability were analyzed. On this basis, static and dynamic panel data models were established to empirically analyze the influence of DIES niche suitability on high-quality economic development. The results showed that (1) the overall level of niche suitability for China’s digital innovation ecosystem is relatively stable, with unbalanced development among regions, but plentiful space for development. (2) The DIES niche suitability plays a significant role in promoting high-quality economic development. Regions with a high degree of DIES niche suitability have more active innovation activities and a higher original accumulation of innovation. (3) The positive effect of DIES niche suitability for high-quality economic development is sustainable. The improvement in regional economic development quality needs to gradually emerge with the continuous improvement in and optimization of the DIES. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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