Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.1
2.3
Journals
Systems
Special Issues
Organizational Digital Innovation and Transformation in Enterprise and Government Strategies
share announcement

Organizational Digital Innovation and Transformation in Enterprise and Government Strategies

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

Deadline for manuscript submissions: 1 July 2025 | Viewed by 4163

Special Issue Editors

Dr. Wei-Hung Chen

E-Mail Website
Guest Editor
Department of Information Management, Chihlee University of Technology, New Taipei City 220305, Taiwan
Interests: digital transformation of manufacturing industry; information security system; interdisciplinary transformation research
Dr. Pingheng Tsai

E-Mail Website
Guest Editor
Department of Finance, Chihlee University of Technology, New Taipei City 220305, Taiwan
Interests: natural language processing; sentiment analysis; deep learning

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the role of systems in fostering organizational innovation and driving digital transformation. Systems are pivotal in enabling organizational change and introducing new capabilities. The theme of this Special Issue is "Organizational Digital Innovation and Transformation in Enterprise and Government Strategies". We invite scholars from related fields to explore the key roles and impacts of systems. Manuscripts offering innovative perspectives, cutting-edge insights, cross-disciplinary integration, and diverse research methods are especially encouraged. Submissions on impact systems engineering, theoretical analysis, case studies, and empirical testing are also welcome. However, information security is also a critical concern in the systems of organizational transformation. Natural language processing is a key tool and application in this process.

In summary, systems are the core of organizational digital innovation and transformation. They offer the necessary infrastructure, manage and analyze data, automate processes, enhance customer experiences, and support both strategic and operational goals. By effectively leveraging these systems, organizations can drive innovation, boost efficiency, and remain competitive in a rapidly evolving digital landscape. This Special Issue aims to explore the study of organizational digital innovation and transformation systems, along with a detailed examination of various research areas in corporate and government strategies, covering but not limited to the following topics:

  • Data Management and Analytics Systems;
  • Automation and Efficiency Systems;
  • Agility and Flexibility Systems;
  • Innovation Facilitation Systems;
  • Security and Compliance Systems;
  • Change Management Systems;
  • Strategic Alignment Systems;
  • Dual-axis Transformation Systems of Digitalization and Decarbonization.

Dr. Wei-Hung Chen
Dr. Pingheng Tsai
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 100 words) can be sent to the Editorial Office for announcement on this website.

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

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

Keywords

  • digital innovation and transformation
  • organizational innovation
  • digital transformation
  • enterprise and government strategies
  • innovation facilitation
  • security and compliance
  • information security technology and system development
  • application of NLP technology

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 583 KiB  
Article
Unlocking Digital Potential—The Impact of Innovation and Self-Determined Learning
by Sandra Starke and Iveta Ludviga
Systems 2025, 13(5), 396; https://doi.org/10.3390/systems13050396 - 21 May 2025
Viewed by 248
Abstract
In an era of rapid digital transformation, organisations must cultivate dynamic capabilities that promote innovation and continuous learning. This study examines how self-determined motivation and innovation adoption are crucial enablers in developing the digital competencies essential for employees to navigate digital transformation. Grounded [...] Read more.
In an era of rapid digital transformation, organisations must cultivate dynamic capabilities that promote innovation and continuous learning. This study examines how self-determined motivation and innovation adoption are crucial enablers in developing the digital competencies essential for employees to navigate digital transformation. Grounded in Self-Determination Theory and the Diffusion of Innovation framework, our research underscores the systemic role of individual agency, technological advancements, and organisational structures in facilitating workforce adaptation. Employing a quantitative approach with 152 survey participants, our findings reveal that self-determined motivation alone is inadequate, while adopting innovation significantly influences digital competence. We demonstrate that human-centred factors must align with systemic digital transformation efforts. Moreover, we highlight the necessity of integrating employee capabilities into broader enterprise and government digital innovation strategies. The implications of this study are both theoretical and practical. We stress the need for organisations to design change processes that support digital knowledge acquisition and adaptability in evolving workplaces. Our research offers a systemic perspective on digital transformation, reinforcing that successful organisational innovation requires structured learning environments that empower employees. By fostering an ecosystem where digital competencies are nurtured, organisations can enhance agility, resilience, and sustained competitiveness in the digital age. Full article
(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)
►▼ Show Figures

Figure 1

28 pages, 2022 KiB  
Article
Digital Economy, Government Innovation Preferences, and Regional Innovation Capacity: Analysis Using PVAR Model
by Huabin Wu, Miao Chang, Yuelong Su, Xiangdong Xu and Chunyan Jiang
Systems 2025, 13(5), 382; https://doi.org/10.3390/systems13050382 - 16 May 2025
Viewed by 217
Abstract
Digital technology drives global industrial transformation. The synchronized development of organizational digital transformation and innovation systems is pivotal in corporate strategy and governmental governance. The dynamic interaction mechanisms among digital economy, government innovation policy, and regional innovation capacity remain insufficiently explored. This study [...] Read more.
Digital technology drives global industrial transformation. The synchronized development of organizational digital transformation and innovation systems is pivotal in corporate strategy and governmental governance. The dynamic interaction mechanisms among digital economy, government innovation policy, and regional innovation capacity remain insufficiently explored. This study employs panel data from 15 prefecture-level cities within the Yangtze River Delta urban agglomeration, spanning the years 2012 to 2020, and uses the panel vector autoregression (PVAR) model to investigate the interrelationships among the digital economy, government innovation preferences (the government’s supportive attitude and policy inclination towards innovative activities in the fields of science and technology as well as economic development), and regional innovation capacity. This research emphasizes the impact of the digital economy on regional innovation capacity and the influence of government innovation preferences on regional innovation capacity. The findings indicate that both the digital economy and government innovation preferences significantly enhance technological and product innovation, with this effect being particularly pronounced in the initial stages but diminishing over time. The three dimensions of the digital economy exert varying effects on technological and product innovation. Specifically, digital application has the most substantial impact on technological innovation, whereas infrastructure has a more pronounced effect on product innovation. Overall, the influence of government innovation preferences on technological and product innovation is less significant than that of the digital economy. The intensity of government innovation preferences has a greater impact than does the structure of government innovation preferences; however, in the long term, the structure of government innovation preferences can exert a more stable and sustainable influence. This study offers policy implications for constructing an innovation ecosystem driven by the synergy between government and market forces, particularly in optimizing data governance systems and planning sustainable transformation pathways, which hold practical value. Full article
(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)
►▼ Show Figures

Figure 1

28 pages, 1820 KiB  
Article
Synergistic Evolution in the Digital Transformation of the Whole Rural E-Commerce Industry Chain: A Game Analysis Using Prospect Theory
by Yanling Wang and Junqian Xu
Systems 2025, 13(2), 117; https://doi.org/10.3390/systems13020117 - 12 Feb 2025
Viewed by 1054
Abstract
In the big data era, global business competition focuses on industrial chain coordination. The whole rural e-commerce industry chain, as an advanced system characterized by digital transformation, is experiencing rapid growth. This paper aims to explore the evolutionary mechanism of collaborative behavior in [...] Read more.
In the big data era, global business competition focuses on industrial chain coordination. The whole rural e-commerce industry chain, as an advanced system characterized by digital transformation, is experiencing rapid growth. This paper aims to explore the evolutionary mechanism of collaborative behavior in the digital transformation of platform enterprises and participating enterprises across the whole rural e-commerce industry chain. To achieve this, this paper combines prospect theory and evolutionary game theory, introduces the value function and decision weight of prospect theory, and constructs a two-party game model between platform enterprises and participating enterprises. Based on the demonstration of the impact of individual changes in major objective factors, such as the cooperative innovation benefit coefficient, as well as major behavioral characteristic factors, such as decision-makers’ risk attitude coefficients, on enterprises’ strategic choices, we further reveal the influence of the interaction of key factors on the evolutionary results through case simulations. The findings indicate that when the behavior characteristics of the players are introduced, the threshold interval of the cost–benefit ratio of the two sides to reach the optimal state of decision-making is obviously reduced. Under moderate risk attitudes and degrees of loss sensitivity, enhancing the resource absorption capacity of enterprises in the chain and reducing the potential risk loss of platform enterprises to alleviate the influence of subjective behavior characteristics on cooperation willingness are effective measures. Improving innovation ability is the key factor in alleviating the negative impact of uncertainty on the decision-making of both parties. This paper is one of the few studies to integrate prospect theory with evolutionary game analysis in examining the collaborative behaviors between platform enterprises and participating enterprises. Effective strategies are proposed to promote enterprises achieving synergy. Full article
(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)
►▼ Show Figures

Figure 1

26 pages, 2367 KiB  
Article
Unveiling the Multifaceted Driving Mechanism of Digital Transformation in the Construction Industry: A System Adaptation Perspective
by Mengqi Yuan, Wenfei Zang, Long Li and Ziwei Yi
Systems 2025, 13(1), 11; https://doi.org/10.3390/systems13010011 - 28 Dec 2024
Viewed by 1475
Abstract
Various industries see digital transformation (DT) as the pillar to coping with intensified competition, energy crises, and climate change. As a critical sector for DT, the construction industry’s project-oriented paradigm and immature industrialized production method limit the research on emerging digital technology and [...] Read more.
Various industries see digital transformation (DT) as the pillar to coping with intensified competition, energy crises, and climate change. As a critical sector for DT, the construction industry’s project-oriented paradigm and immature industrialized production method limit the research on emerging digital technology and ignore the theoretical mechanism. Through the lens of system adaptability, this study proposes a multifaceted model to examine the DT effectiveness and unveil the driving mechanism. (1) An extensive literature review, action research, and the nominal group technique identified 21 determinants, which were categorized into a technological–organizational–environmental (TOE) framework to analyze the construction industry’s DT determinants from multiple dimensions. (2) This research utilizes data from 272 respondents collected through field research, with a survey designed to measure the relationships among variables. (3) Structural equation modeling (SEM) through Analysis of Moment Structures (AMOSs) has been used to analyze the hypotheses and analyze the impact of determinants from various dimensions on DT and examine their influence pathways. The results indicate that determinants in the technological, organizational, and environmental dimensions positively affect DT’s success in the construction industry. The influence of the technological dimension is the strongest, and the organizational dimension is the weakest. The research findings offer valuable recommendations and insights for stakeholders in the construction industry, highlighting the importance of considering these three dimensions to enhance the overall effectiveness of DT when driving industry transformation and upgrading. Additionally, this study uses the TOE framework to reveal determinants from multiple dimensions. It combines SEM to explore the pathways of their effects, offering key theoretical insights for the body of knowledge. Full article
(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop