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Innovation Management and Digitalization of Business Models
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Innovation Management and Digitalization of Business Models

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

Deadline for manuscript submissions: closed (31 October 2025) | Viewed by 39581

Special Issue Editors

Dr. Nelson Duarte

E-Mail Website
Guest Editor
1. INESC TEC—Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal
2. ESTG-P.PORTO, Department of Business Sciences, Rua do Curral, 4610-156 Margaride, Portugal
3. School of Management and Technology of Porto Polytechnic, 4200-465 Porto, Portugal
Interests: business models; strategy; entrepreneurship and innovation; project management; sustainability; digitalization
Dr. Rebecca Dong

E-Mail Website
Guest Editor
Business School, University of Technology Sydney, Ultimo, NSW 2007, Australia
Interests: firms’ internationalization, sustainability, and digitalization; application of AI and its embedded institutional environment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Innovation and digitalization are not merely buzzwords; both are a necessity for companies that aspire to thrive in today's dynamic market. Innovation management’s primary objective is to cultivate a culture where new ideas are consistently generated, developed, and effectively implemented to create value.

The advent of Industry 4.0 and the lockdowns during the pandemic period compelled companies to innovate technologically, particularly in terms of digitalization. The integration of digital technologies into all business areas has fundamentally transformed operations and value delivery to customers, driving the digitalization of business models across numerous aspects.

This transformation involves a broad spectrum of technological innovations such as artificial intelligence, big data analytics, and blockchain. Each of these technologies contributes significantly to reshaping the business landscape. The digital revolution has given rise to new business models that emphasize agility, scalability, circularity, and customer centricity. This shift has introduced new paradigms for innovation management. Organizations are increasingly adopting agile methodologies to accelerate the innovation cycle and respond more effectively to market demands. Companies that successfully integrate and manage digital innovation into their business models are better positioned to gain a competitive edge, adapt to disruptive changes, and create sustainable value in today's fast-paced market.

This Special Issue aims to provide valuable insights for both practitioners and researchers, fostering a comprehensive discussion on the future of innovation management and the digitalization of business models.

Dr. Nelson Duarte
Dr. Rebecca Dong
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-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

  • business models
  • innovation
  • digital technologies
  • entrepreneurial innovation
  • strategic innovation
  • digital transformation
  • circular business models

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Published Papers (14 papers)

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34 pages, 874 KB  
Article
Exploring the Impacts of Digital Technology on Small and Medium-Sized Corporate Competitive Advantage: Evidence from the Chinese A-Share Manufacturing Industry
by Ping Li, Minxi Zhao and Weiwei Wu
Systems 2026, 14(3), 256; https://doi.org/10.3390/systems14030256 - 28 Feb 2026
Viewed by 329
Abstract
Against the profound backdrop of digital technology reshaping industrial competition, examining how it enables resource-constrained small and medium-sized manufacturing enterprises (SMMEs) to cultivate a sustained competitive advantage is of considerable practical significance. Grounded in dynamic capability theory, this study conducts an empirical analysis [...] Read more.
Against the profound backdrop of digital technology reshaping industrial competition, examining how it enables resource-constrained small and medium-sized manufacturing enterprises (SMMEs) to cultivate a sustained competitive advantage is of considerable practical significance. Grounded in dynamic capability theory, this study conducts an empirical analysis using panel data from 153 SMMEs listed on China’s A-share market between 2013 and 2022. The baseline regression results indicate that digital technology significantly enhances firms’ competitive advantage, a finding that remains robust across multiple robustness checks involving alternative variable measurements and sample adjustments. Further heterogeneity analyses reveal that this facilitating effect is more pronounced in state-owned enterprises, non-high-tech sectors, and firms located in eastern, northeastern, and northwestern regions, as well as in environments characterized by more developed digital finance or intensified market competition. Moreover, the mechanism analysis identifies a sequential mediating pathway, specifically that digital process innovation enables digital business model innovation, which is validated through structural equation modeling. Digital product innovation does not exhibit a statistically significant mediating effect. These findings extend the applicability of dynamic capability theory to digital contexts and provide actionable insights for SMMEs seeking to design context-specific digital transformation strategies. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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17 pages, 825 KB  
Article
Industry 4.0 Technologies as Drivers of Strategic and Business Model Innovation: A Conceptual Framework
by Nelson Duarte and Rebecca Kechen Dong
Systems 2026, 14(1), 4; https://doi.org/10.3390/systems14010004 - 19 Dec 2025
Viewed by 803
Abstract
In today’s rapidly evolving business environment, digitalization has emerged not only as a technological trend but also as a strategic imperative. This paper develops a conceptual framework that examines how Industry 4.0 (I4.0) technologies and tools drive strategic innovation and enable the transformation [...] Read more.
In today’s rapidly evolving business environment, digitalization has emerged not only as a technological trend but also as a strategic imperative. This paper develops a conceptual framework that examines how Industry 4.0 (I4.0) technologies and tools drive strategic innovation and enable the transformation of business models. Based on a systematic literature review, the framework identifies a set of organizational and contextual preconditions (strategic vision, organizational culture, digital skills, infrastructure, financial resources, and regulatory conditions) that can act as either enablers or barriers to innovation. The analysis reveals that these preconditions give rise to two contrasting innovation cycles: a virtuous cycle, where favourable conditions amplify the adoption of digital technologies and foster business model transformation, and a vicious cycle, where unfavourable conditions reinforce technological inertia and hinder strategic development. By integrating insights from innovation management, digital transformation, and business model theory, the framework offers a nuanced understanding of how technology and strategy intersect and provides actionable guidance for managers seeking to move beyond operational improvements toward reimagining value creation, delivery, and capture in the digital age. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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27 pages, 1020 KB  
Article
Path Exploration of Artificial Intelligence-Driven Green Supply Chain Management in Manufacturing Enterprises: A Study Based on Random Forest and Dynamic QCA Under the TOE Framework
by Yifei Cao, Lingfeng Hao, Zihan Zhang and Hua Zhang
Systems 2025, 13(12), 1120; https://doi.org/10.3390/systems13121120 - 14 Dec 2025
Viewed by 913
Abstract
Artificial intelligence (AI) technology is gradually integrating into the entire process of green supply chain management (GSCM), providing a systematic solution for enterprises to improve productivity and performance. This paper focuses on Chinese manufacturing enterprises, aiming to explore the multi-factor synergistic mechanism influencing [...] Read more.
Artificial intelligence (AI) technology is gradually integrating into the entire process of green supply chain management (GSCM), providing a systematic solution for enterprises to improve productivity and performance. This paper focuses on Chinese manufacturing enterprises, aiming to explore the multi-factor synergistic mechanism influencing differences in GSCM levels from a temporal perspective under the drive of AI. Based on 2019–2023 panel data of enterprises, this paper innovatively integrates the random forest algorithm with dynamic qualitative comparative analysis (QCA) to reveal the configurational effects of technological, organizational, and environmental factors in enterprises’ GSCM practices. The findings demonstrate that no single factor is a necessary condition for enterprises to implement GSCM; configurational analysis identifies two driving models: “AI technology innovation-driven (Configuration 1 and Configuration 2)” and “strategic resource-driven (Configuration 3)”; Configuration 1 combines research and development (R&D) investment and green awareness among executives with the enabling role of government subsidies; Configuration 2 couples R&D Investment with strong funding capacity, again facilitated by the presence of government subsidies; Configuration 3 combines AI technology adoption and green awareness among executives, supported by the necessary funding capacity and government subsidies. Additionally, inter-group analysis reveals no significant temporal effect among configurations but shows phased evolutionary characteristics. This paper has thoroughly explored the complex paths for enhancing GSCM of manufactory enterprises under the influence of AI. It is recommended that the government refine and strengthen targeted subsidy policies to better support the adoption and integration of AI in advancing GSCM within the manufacturing sector. Concurrently, manufacturers must align technology, organizational structure, and external factors, specifically through core AI technology improvements, enhanced executive green awareness, and the mobilization of government and external funding. These advancements have led to high-level GSCM within enterprises, allowing them to achieve high-quality and sustainable development. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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26 pages, 718 KB  
Article
How Perceived Value Drives Usage Intention of AI Digital Human Advisors in Digital Finance
by Yishu Tang and Hosung Son
Systems 2025, 13(11), 973; https://doi.org/10.3390/systems13110973 - 31 Oct 2025
Viewed by 1981
Abstract
This study investigates how perceived value influences user satisfaction and usage intention toward AI Digital Human Advisors in digital finance, drawing on the Stimulus–Organism–Response (S–O–R) framework. Perceived value is conceptualized as comprising functional, cognitive, and emotional dimensions, reflecting users’ utilitarian, intellectual, and affective [...] Read more.
This study investigates how perceived value influences user satisfaction and usage intention toward AI Digital Human Advisors in digital finance, drawing on the Stimulus–Organism–Response (S–O–R) framework. Perceived value is conceptualized as comprising functional, cognitive, and emotional dimensions, reflecting users’ utilitarian, intellectual, and affective evaluations of AI advisors. To empirically test the proposed model, a structured questionnaire survey was conducted with 524 adult users of digital financial applications in mainland China, and the data were analyzed using structural equation modeling (SEM). The results reveal that cognitive and emotional value significantly enhance both satisfaction and usage intention, whereas functional value shows no significant effect. Satisfaction fully mediates the effect of cognitive value and partially mediates that of emotional value. Moreover, switching barriers negatively moderate the satisfaction–intention link, indicating that high friction weakens the behavioral impact of satisfaction. The findings extend perceived value theory to AI-mediated financial contexts by demonstrating that emotional and cognitive engagement—rather than functional efficiency—drives sustained behavioral intention. Practically, the study highlights the importance of designing emotionally intelligent and cognitively transparent AI advisors. As the data were collected from urban users in China, where digital finance is relatively advanced, future research should validate these findings in other cultural and institutional contexts. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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34 pages, 709 KB  
Article
How Does Digital Technology Innovation Quality Empower Corporate ESG Performance? The Roles of Digital Transformation and Digital Technology Diffusion
by Xiaolong Xue, Ling Li, Jianshuo Chen and Ting Luo
Systems 2025, 13(11), 929; https://doi.org/10.3390/systems13110929 - 22 Oct 2025
Cited by 1 | Viewed by 1282
Abstract
As pivotal actors in market economies, corporations are strategically positioned to enhance environmental, social, and governance (ESG) performance to advance sustainable development. The digital technology revolution has stimulated scholarly inquiry into the influence of digital technology innovation on corporate ESG performance. Nevertheless, critical [...] Read more.
As pivotal actors in market economies, corporations are strategically positioned to enhance environmental, social, and governance (ESG) performance to advance sustainable development. The digital technology revolution has stimulated scholarly inquiry into the influence of digital technology innovation on corporate ESG performance. Nevertheless, critical questions remain unresolved regarding the multidimensional measurement of digital technology innovation quality (DTIQ) and its mechanism paths empowering ESG enhancement. Using panel data for China’s listed companies from 2012 to 2022, this study quantifies DTIQ through its depth (technology specialization) and breadth (technology diversification), empirically investigating their impacts on ESG performance and focusing on the mediating effects of digital transformation and digital technology diffusion. Empirical results reveal that both the breadth and depth of DTIQ have significantly positive impacts on ESG performance. Mechanisms analysis identifies two ways to reinforce their positive impacts: advancing corporate digital transformation and facilitating digital technology diffusion. Discussions on the heterogeneity of the effects demonstrate that in regions with strong intellectual property protection, Eastern regions, high-tech and heavily polluting industries, and among non-SOEs and large firms, the impact of DTIQ on corporate ESG performance is more pronounced. This research expands the literature on the relationship between digital technology innovation and corporate ESG performance. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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28 pages, 833 KB  
Article
The Combined Effects of Technological Resources, Competitive Pressure, and Innovation Attitude on Corporate Competitiveness: Evidence from Taiwan’s Textile Industry
by Wan-Yi Tsai and Rong-Ho Lin
Systems 2025, 13(10), 922; https://doi.org/10.3390/systems13100922 - 20 Oct 2025
Cited by 2 | Viewed by 1136
Abstract
This research paper explores the textile industry in Taiwan and investigates how technological innovation can support corporate competitiveness under the pressures of global market competition, increased labor costs, and sustainability. This study tests the impact of technological resources, competitive pressures, and innovation attitudes [...] Read more.
This research paper explores the textile industry in Taiwan and investigates how technological innovation can support corporate competitiveness under the pressures of global market competition, increased labor costs, and sustainability. This study tests the impact of technological resources, competitive pressures, and innovation attitudes on corporate competitiveness, moderated by risk management capability and technological innovation investment. A stratified random sampling method and questionnaire survey produced 401 valid responses that were analyzed using structural equation modeling. The study found that technological resources, competitive pressure, and innovation attitudes positively affect risk management capability and technological innovation investment, which improve corporate competitiveness. Technological innovation investment had the most significant effect on corporate competitiveness of these three factors. This is because competitive pressure and innovative attitudes push firms towards increased research and development and investment that create differentiation in the market and sustainable advantages. In terms of theoretical contribution, this study addresses the research gap related to the interaction between risk management and innovation in traditional industries. The practical implication is that firms should consider investing in organizational processes that create innovative attitudes and allocate resources to maximize organizational capabilities and ensure a competitive advantage in highly dynamic markets through risk management and ongoing innovation. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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20 pages, 843 KB  
Article
Leveraging Big Data Analytics Capability for Firm Innovativeness: The Role of Sustained Innovation and Organizational Slack
by Chunjia Hu, Yitong Xu and Pengbin Gao
Systems 2025, 13(9), 730; https://doi.org/10.3390/systems13090730 - 22 Aug 2025
Cited by 1 | Viewed by 1398
Abstract
In the era of digital transformation and data-driven decision-making, big data analytics capability (BDAC) is crucial for firms to enhance innovation and sustainable competitive advantage in highly dynamic markets. Grounded in dynamic capability theory, this study used a moderated mediation model to explore [...] Read more.
In the era of digital transformation and data-driven decision-making, big data analytics capability (BDAC) is crucial for firms to enhance innovation and sustainable competitive advantage in highly dynamic markets. Grounded in dynamic capability theory, this study used a moderated mediation model to explore the impact of BDAC on innovativeness. Empirical analysis was conducted by using survey data from 270 enterprises to test the hypotheses. The results reveal that BDAC significantly and positively influences innovativeness, and sustained innovation mediates this relationship. Moreover, organizational slack positively moderates the effect of BDAC on innovativeness, both the direct effect and indirect effect. These findings provide theoretical support and practical implications for understanding how BDAC enhances firm innovativeness. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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18 pages, 3300 KB  
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
Cited by 2 | Viewed by 1324
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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18 pages, 2032 KB  
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
Cited by 1 | Viewed by 1336
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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22 pages, 682 KB  
Article
How Digital Orientation Affects Innovation Performance? Exploring the Role of Digital Capabilities and Environmental Dynamism
by Xian Zhang, Zongjun Wang, Wenyi Luo, Feifei Guo and Peng Wang
Systems 2025, 13(5), 346; https://doi.org/10.3390/systems13050346 - 3 May 2025
Cited by 2 | Viewed by 5195
Abstract
Digital orientation has attracted significant attention from policymakers and researchers due to its potential to drive innovation success. While prior research has largely examined the impact of digital orientation on specific types of innovation from a static lens, a holistic and dynamic perspective [...] Read more.
Digital orientation has attracted significant attention from policymakers and researchers due to its potential to drive innovation success. While prior research has largely examined the impact of digital orientation on specific types of innovation from a static lens, a holistic and dynamic perspective on its relationship with firms’ overall innovation performance remains limited. Drawing on dynamic capabilities theory, this study aims to bridge this gap by developing a moderated mediation model that incorporates the mediating role of digital capabilities and the moderating effect of environmental dynamism in the relationship between digital orientation and firms’ overall innovation performance. Using survey data from 368 Chinese firms, this study employs hierarchical regression analysis and the bootstrap method to test the hypotheses. The results indicate that digital orientation promotes digital capabilities (encompassing digital sensing, digital integrative, and digital transforming capabilities), which in turn facilitates firms’ overall innovation performance. Also, the effect of digital capabilities on innovation performance is moderated by environmental dynamism. This study contributes to the existing literature by offering a holistic and dynamic lens to elucidate the link between digital orientation and innovation performance, while also providing managerial insights for firms seeking to adopt digital orientation to boost innovation success in the evolving digital environments. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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18 pages, 576 KB  
Article
Driving Green Transformation in Equipment Manufacturing Enterprises: The Role of Digital Technologies
by Weiyang Xu, Jianzhong Xu and Wei Zhang
Systems 2025, 13(5), 332; https://doi.org/10.3390/systems13050332 - 1 May 2025
Cited by 3 | Viewed by 1859
Abstract
As digital technologies are increasingly applied in the equipment manufacturing industry, they play an increasingly important role in the green transformation of business development models. Digital technologies have gradually become a key driving force behind the green transformation and development of equipment manufacturing [...] Read more.
As digital technologies are increasingly applied in the equipment manufacturing industry, they play an increasingly important role in the green transformation of business development models. Digital technologies have gradually become a key driving force behind the green transformation and development of equipment manufacturing enterprises. Using empirical data from 2013 to 2022 on publicly listed equipment manufacturing companies in China’s A-share market, this study explores the mechanisms through which digital technologies influence the green transformation of these enterprises. The empirical results show that the application of digital technologies in equipment manufacturing enterprises effectively promotes their green transformation. Mechanism tests reveal that digital technologies contribute to green transformation through channels such as fostering green innovation and optimizing the market environment. The findings provide empirical support for the green transformation of equipment manufacturing enterprises. These companies should further enhance their application of digital technologies, while the government should actively introduce relevant supportive policies to create a favorable market environment, strengthen digital infrastructure, and provide extensive support for the application of digital technologies, thereby promoting the coordinated advancement of digital and green transformations in enterprises. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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24 pages, 559 KB  
Article
Understanding User Acceptance of AI-Driven Chatbots in China’s E-Commerce: The Roles of Perceived Authenticity, Usefulness, and Risk
by Rob Kim Marjerison, Hang Dong, Jong-Min Kim, Hanyi Zheng, Youran Zhang and George Kuan
Systems 2025, 13(2), 71; https://doi.org/10.3390/systems13020071 - 21 Jan 2025
Cited by 18 | Viewed by 14578
Abstract
This study examines users’ perceptions of Chatbots in China, with a particular focus on the factors influencing their acceptance and usage. Grounded in the Technology Acceptance Model (TAM), we analyze data from 542 online responses to explore the roles of Perceived Authenticity, usefulness, [...] Read more.
This study examines users’ perceptions of Chatbots in China, with a particular focus on the factors influencing their acceptance and usage. Grounded in the Technology Acceptance Model (TAM), we analyze data from 542 online responses to explore the roles of Perceived Authenticity, usefulness, and risk in shaping user behavior toward AI-driven Chatbots. Using linear regression and mediation analyses, our findings indicate that both Perceived Authenticity and Perceived Usefulness positively impact users’ behavioral intentions, while Perceived Risk has a negative influence. Notably, Perceived Usefulness serves as a mediator between behavioral intentions and both Perceived Authenticity and Perceived Risk. These results contribute to the growing body of research on AI and e-commerce by providing empirical evidence of the key factors affecting Chatbot adoption. The study offers valuable implications for developers and marketers, suggesting that enhancing Perceived Authenticity and usefulness while addressing Perceived Risks can improve user acceptance. These insights are particularly pertinent for AI practitioners aiming to refine Chatbot technology and expand its application across various sectors. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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25 pages, 2103 KB  
Article
A Study on the Impact of Watershed Compensation Policies on Green Technology Innovation Ecosystems
by Mo Li, Jianhua Zhu and Hua Dong
Systems 2025, 13(1), 44; https://doi.org/10.3390/systems13010044 - 10 Jan 2025
Cited by 3 | Viewed by 1382
Abstract
This study uses the implementation of the watershed compensation policy as a quasi-natural experiment and selects a sample of 53 cities located within the four major watersheds from 2005 to 2022. By employing a staggered difference-in-differences model and a synthetic control difference-in-differences model, [...] Read more.
This study uses the implementation of the watershed compensation policy as a quasi-natural experiment and selects a sample of 53 cities located within the four major watersheds from 2005 to 2022. By employing a staggered difference-in-differences model and a synthetic control difference-in-differences model, the study investigates how watershed compensation policies influence green technology innovation ecosystems and delves into the underlying mechanisms that are responsible for these impacts. The research reveals the following findings: (1) The introduction of the watershed compensation policy markedly boosts the development of green technology innovation ecosystems in the pilot cities, and this finding remains consistent following a series of robustness checks. (2) An analysis of the mechanisms indicates that the watershed compensation policy exerts its impact on the advancement of green technology innovation ecosystems through a reduction in carbon emission intensity and the enhancement of wastewater treatment efficiency. (3) The influence of the watershed compensation policy on green technology innovation ecosystems varies according to the level of public financial expenditure and labor productivity. This research offers a factual foundation for comprehending the effects of watershed compensation policies on the innovation of green technologies within China. Full article
(This article belongs to the Special Issue Innovation Management and Digitalization of Business Models)
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30 pages, 1523 KB  
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
Cited by 1 | Viewed by 4388
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
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