Systems

Research

20 pages, 630 KB

Open AccessArticle

Automated Inference of Systems Capability from Natural Language Artifacts

by Natansh Vyas, Kristin Falk and Omid Razbani

Systems 2026, 14(5), 508; https://doi.org/10.3390/systems14050508 - 4 May 2026

Viewed by 220

Systems capability is the cognitive ability to plan and execute actions using systems-oriented reasoning. While essential for the design and development of complex systems, it manifests in large organizations primarily through communication and technical documentation, making it difficult to observe and measure at [...] Read more.

Systems capability is the cognitive ability to plan and execute actions using systems-oriented reasoning. While essential for the design and development of complex systems, it manifests in large organizations primarily through communication and technical documentation, making it difficult to observe and measure at scale. This paper presents an automated method for inferring systems capability from natural language artifacts. We construct a feature-based representation that captures linguistic indicators of systems-oriented reasoning and use these features to train an ordinal logistic regression model on 75 graded systems engineering essay-type case reports, with expert-assigned quality grades serving as proxies for capability levels. The model is evaluated using a 60–20–20 train–validation–test split, achieving 53.3% test accuracy and a mean absolute error of 0.73 grade levels. Notably, 93.3% of predictions fall within ±1 grade level of the true assessments, indicating that specific linguistic patterns and systems attributes are strongly associated with higher systems capability. The proposed approach enables scalable assessment of systems capability with applications in engineering education, workforce development, and enterprise planning. Future work will refine the model and evaluate its performance in industrial settings. Full article

(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)

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26 pages, 3326 KB

Open AccessArticle

Designing an ICT-Based Digital Transformation Roadmap for Administrative Process Optimization in a Municipal Public Utility

by Oscar Moncayo Carreño, Cristian Zambrano-Vega, Byron Oviedo and Betty Briones Gavilanez

Systems 2026, 14(3), 270; https://doi.org/10.3390/systems14030270 - 3 Mar 2026

Viewed by 1144

Abstract

Digital transformation in public institutions is increasingly understood as a socio-technical and organizational process rather than a purely technological upgrade. This study presents the design of an ICT-based digital transformation roadmap aimed at improving administrative efficiency and citizen service delivery in a municipal [...] Read more.

Digital transformation in public institutions is increasingly understood as a socio-technical and organizational process rather than a purely technological upgrade. This study presents the design of an ICT-based digital transformation roadmap aimed at improving administrative efficiency and citizen service delivery in a municipal public utility in Ecuador. A mixed-methods diagnostic approach was adopted, combining qualitative evidence from direct observation and a semi-structured interview with the head of the IT department, and quantitative data from a structured online survey administered to citizens. Baseline Key Performance Indicators (KPIs) were established using institutional records, service logs, and workflow analysis conducted over a three-month diagnostic window. Post-implementation KPI values are explicitly treated as ex ante projections, derived from process redesign analysis, benchmarking with comparable public utilities, and scenario-based assumptions, rather than empirically observed outcomes. The empirical results demonstrate high citizen readiness and acceptance of proposed digital services, including remote service portals, electronic invoicing, and automated support channels. The projected operational improvements—such as reductions in response and administrative processing times and increased digital transaction rates—are therefore presented as expected performance scenarios. A risk and alternative scenario analysis further examines how organizational constraints, resource availability, governance capacity, and change-management factors may moderate these outcomes. The study contributes a transparent and replicable framework for diagnosing digital readiness and planning ICT-driven transformation initiatives in resource-constrained public utilities, while emphasizing the need for future longitudinal validation using post-implementation data. Full article

(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)

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23 pages, 357 KB

Open AccessArticle

How Does TMT Heterogeneity Affect Firm Digital Innovation Resilience?

by Xueyin Guo and Yongjian Liu

Systems 2026, 14(3), 239; https://doi.org/10.3390/systems14030239 - 26 Feb 2026

Cited by 1 | Viewed by 715

Abstract

In the digital economy era characterized by heightened uncertainty, strengthening internal governance to bolster firm adaptability and sustain digital innovation resilience has become crucial. As a key strategic resource, top management team (TMT) heterogeneity holds significant theoretical and practical value for enhancing firms’ [...] Read more.

In the digital economy era characterized by heightened uncertainty, strengthening internal governance to bolster firm adaptability and sustain digital innovation resilience has become crucial. As a key strategic resource, top management team (TMT) heterogeneity holds significant theoretical and practical value for enhancing firms’ digital innovation resilience. Using a sample of Chinese manufacturing listed firms, this study examines how TMT heterogeneity affects digital innovation resilience and the underlying mechanisms. The findings indicate that: (1) Greater TMT heterogeneity strengthens firms’ digital innovation resilience. (2) This effect operates primarily through alleviating financing constraints and improving investment efficiency. (3) The impact varies across firm types: it is stronger for small and medium-sized firms than for large firms; more pronounced in state-owned firms than in non-state-owned firms; more significant in low-monopoly firms than in high-monopoly firms; and notably greater for firms in eastern China than for those in central and western regions. (4) Government subsidies can strengthen the positive impact of TMT heterogeneity on firm digital innovation resilience. This study provides theoretical insights and practical guidance for enterprises to build effective TMTs, alleviate financing constraints, and improve investment efficiency, and for the government to provide subsidies, with the ultimate aim of fostering digital innovation resilience. Full article

(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)

21 pages, 2775 KB

Open AccessArticle

Assessment of Organisational Innovation: An Analytical Framework for Higher Education Institutions

by María Begoña Peña-Lang and Aurelio Villa

Systems 2026, 14(2), 214; https://doi.org/10.3390/systems14020214 - 18 Feb 2026

Viewed by 511

Abstract

This study analyses the degree of organisational innovation (OI) in Spanish universities and its relationship with institutional competitiveness, proposing a robust analytical framework for its assessment. A mixed, sequential and explanatory design was used, integrating a documentary analysis of R&D indicators, semi-structured interviews [...] Read more.

This study analyses the degree of organisational innovation (OI) in Spanish universities and its relationship with institutional competitiveness, proposing a robust analytical framework for its assessment. A mixed, sequential and explanatory design was used, integrating a documentary analysis of R&D indicators, semi-structured interviews with 15 university managers and the validation of an OI questionnaire applied to 387 engineering students and graduates. Qualitative data were analysed with ATLAS.ti 9 and quantitative data were analysed using confirmatory factor analysis and structural equation modelling (SEM) in AMOS v.27, obtaining satisfactory fit indices (CFI = 0.970; RMSEA = 0.051). The results reveal moderate development of OI (Organisational Innovation), with significant differences between institutions according to their level of digitisation, strategic policies and organisational culture. Creativity emerged as the main predictor of key competencies such as active learning and technological design, while excessive institutional openness had negative effects on self-management. Full article

(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)

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25 pages, 600 KB

Open AccessArticle

Lean 4.0 as a Socio-Technical System: Mapping the Interaction of Soft Practices and Industry 4.0 in Digital Transformation

by Mohamad Ali Mezher, Indra Gunawan and Sajad Fayezi

Systems 2026, 14(1), 9; https://doi.org/10.3390/systems14010009 - 22 Dec 2025

Viewed by 1787

Abstract

This study examines Lean 4.0, defined as the integration of Lean soft practices (LSPs) and Industry 4.0 technologies (I4Ts), from a socio-technical systems perspective. While prior research has mainly linked Lean and I4Ts to operational and cost-based performance indicators, far less is known [...] Read more.

This study examines Lean 4.0, defined as the integration of Lean soft practices (LSPs) and Industry 4.0 technologies (I4Ts), from a socio-technical systems perspective. While prior research has mainly linked Lean and I4Ts to operational and cost-based performance indicators, far less is known about how their human and technological elements interact as one socio-technical system during digital transformation. We investigate how LSPs and I4Ts combine to form social and technical subsystems, how their interaction reshapes work systems, and how these configurations relate to organisational performance. An inductive qualitative design was used. Fifteen managers and professionals with direct experience in continuous improvement and digital transformation completed an open-ended online questionnaire. Data were analysed using Braun and Clarke thematic analysis, guided by socio-technical systems theory and complemented by a cross-case synthesis. The findings identify four interrelated subsystems, social, technical, work, and outcomes, that co-evolve in Lean 4.0 initiatives. LSPs such as training, empowerment, and stakeholder involvement constitute a social system that enables the adoption and effective use of I4Ts in the technical system. When both subsystems are strong, their combined operation drives more extensive digital transformation of operational processes and customer facing activities, and in some cases business models, and is associated with broader improvements in efficiency, quality, customer satisfaction, employee engagement, and financial performance than medium or unbalanced configurations. The analysis also highlights recurrent integration challenges, including skill gaps, legacy system constraints, resistance to change, and data security concerns. Overall, the study conceptualises Lean 4.0 as an integrated socio-technical configuration and extends socio-technical systems theory by showing how LSPs mediate and amplify the value created by I4Ts, providing an empirically grounded framework and configuration-based insights for future testing. Full article

(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)

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28 pages, 1656 KB

Open AccessArticle

Developing a Real-Time Public Opinion Analysis System for Women’s Reemployment in Taiwan: A Digital Transformation Approach to Policy Innovation

by Chin-Hui Hsiao, Kuo-Jung Lin, Yu-Ting Lee, Shih-Teng Lin and Li-Ping Chen

Systems 2025, 13(11), 952; https://doi.org/10.3390/systems13110952 - 26 Oct 2025

Viewed by 1810

Abstract

Declining fertility and population aging intensify labor shortages, making women’s reemployment after caregiving a policy priority. Using Taiwan as a case study, this study develops a real-time public opinion analysis system to complement delayed surveys and capture emerging barriers in labor-market reintegration. Drawing [...] Read more.

Declining fertility and population aging intensify labor shortages, making women’s reemployment after caregiving a policy priority. Using Taiwan as a case study, this study develops a real-time public opinion analysis system to complement delayed surveys and capture emerging barriers in labor-market reintegration. Drawing on 2022–2024 social media posts, the system applies sentiment co.mputing, clustering, and algorithmic attention to map four phases: withdrawal, intention, search, and reintegration. Findings show that younger women stress flexibility and childcare, while older returnees prioritize skill renewal and confidence rebuilding; sectoral variation supports life-cycle and clockspeed theories. Policy recommendations emphasize subsidies, training, quotas, and street-level implementation. Beyond technical contributions, the study embeds digital transformation (DT) into labor governance, showing a shift from as-is retrospective surveys to to-be-real-time monitoring. This transformation enhances policy agility, inclusiveness, and alignment with citizens’ lived experiences. The system thus functions as both a tool for rapid intervention and a DT-driven theoretical lens extending reemployment scholarship, offering transferable insights for aging societies. Full article

(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)

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29 pages, 1125 KB

Open AccessArticle

Orchestrating Power: The Cultural–Institutional Nexus and the Rise of Digital Innovation Ecosystems in Great Power Rivalry

by Deganit Paikowsky, Dmitry Payson and Yaacov Falkov

Systems 2025, 13(8), 643; https://doi.org/10.3390/systems13080643 - 1 Aug 2025

Cited by 3 | Viewed by 2787

Abstract

This article examines how digital innovation ecosystems have emerged as strategic institutions of power in contemporary world politics. It argues that, unlike Cold War technological rivalries driven by centralized, state-led control, today’s digital competition depends on states’ capacity to orchestrate scalable, multistakeholder ecosystems. [...] Read more.

This article examines how digital innovation ecosystems have emerged as strategic institutions of power in contemporary world politics. It argues that, unlike Cold War technological rivalries driven by centralized, state-led control, today’s digital competition depends on states’ capacity to orchestrate scalable, multistakeholder ecosystems. Using a cultural–institutional framework, we explain how differences in strategic culture and institutional governance impact the ecosystem’s vitality and performance. A qualitative comparative analysis of the United States, China, and Russia reveals that constructive orchestration, aligning state institutions with generative, commercial-to-national innovation flows, enhances digital leadership, whereas rigid, obstructive governance limits it. This highlights ecosystem governance as a critical dimension of statecraft in the digital age. The findings underscore that the positions of great powers in the global technological hierarchy depend not only on resources or capabilities but also on the effectiveness of ecosystem governance as an evolving instrument of geopolitical power. Full article

(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)

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33 pages, 1146 KB

Open AccessArticle

Impact of Security Management Activities on Corporate Performance

by Hyunwoo Cho and Keuntae Cho

Systems 2025, 13(8), 633; https://doi.org/10.3390/systems13080633 - 28 Jul 2025

Cited by 2 | Viewed by 3216

Abstract

The digital business environment is rapidly evolving with advancements in information technology (IT), increasing the risk of information security incidents. Grounded in the resource-based view and in contingency theory, this study adopts a different approach from prior research by conceptualizing security management activities [...] Read more.

The digital business environment is rapidly evolving with advancements in information technology (IT), increasing the risk of information security incidents. Grounded in the resource-based view and in contingency theory, this study adopts a different approach from prior research by conceptualizing security management activities not as mere risk control mechanisms, but as strategic innovation drivers that can enhance corporate performance (sales revenue and operating profit). The authors develop a research model with six independent variables, including internal and external security management activities, CISO role configuration (independent or dual-role with CIO), and investment levels in IT and information security. The dependent variables include sales revenue and operating profit, with ISMS or ISO certification as a moderating variable. Using information security (IS) disclosures and financial data from 545 Korean firms that have reported their security management activities to the Ministry of Science and ICT, multiple regression and moderation analyses reveal that high IT investment negatively impacts performance, but this effect is mitigated when formal security systems, like ISMS or ISO, are in place. The results suggest that integrating recognized security frameworks into management strategies can enhance both innovation and financial outcomes, encouraging a proactive approach to security management. Full article

(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)

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30 pages, 3932 KB

Open AccessArticle

Banking on the Metaverse: Systemic Disruption or Techno-Financial Mirage?

by Alina Georgiana Manta and Claudia Gherțescu

Systems 2025, 13(8), 624; https://doi.org/10.3390/systems13080624 - 24 Jul 2025

Cited by 2 | Viewed by 3273

Abstract

This study delivers a rigorous and in-depth bibliometric examination of 693 scholarly publications addressing the intersection of metaverse technologies and banking, retrieved from the Web of Science Core Collection. Through advanced scientometric tools, including VOSviewer and Bibliometrix, the research systematically unpacks the evolving [...] Read more.

This study delivers a rigorous and in-depth bibliometric examination of 693 scholarly publications addressing the intersection of metaverse technologies and banking, retrieved from the Web of Science Core Collection. Through advanced scientometric tools, including VOSviewer and Bibliometrix, the research systematically unpacks the evolving intellectual and thematic contours of this interdisciplinary frontier. The co-occurrence analysis of keywords reveals a landscape shaped by seven core thematic clusters, encompassing immersive user environments, digital infrastructure, experiential design, and ethical considerations. Factorial analysis uncovers a marked bifurcation between experience-driven narratives and technology-centric frameworks, with integrative concepts such as technology, information, and consumption serving as conceptual bridges. Network visualizations of authorship patterns point to the emergence of high-density collaboration clusters, particularly centered around influential contributors such as Dwivedi and Ooi, while regional distribution patterns indicate a tri-continental dominance led by Asia, North America, and Western Europe. Temporal analysis identifies a significant surge in academic interest beginning in 2022, aligning with increased institutional and commercial experimentation in virtual financial platforms. Our findings argue that the incorporation of metaverse paradigms into banking is not merely a technological shift but a systemic transformation in progress—one that blurs the boundaries between speculative innovation and tangible implementation. This work contributes foundational insights for future inquiry into digital finance systems, algorithmic governance, trust architecture, and the wider socio-economic consequences of banking in virtualized environments. Whether a genuine leap toward financial evolution or a sophisticated illusion, the metaverse in banking must now be treated as a systemic phenomenon worthy of serious scrutiny. Full article

(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)

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26 pages, 2939 KB

Open AccessArticle

Research on Investment Decisions and the Coordination of Emission Reduction in the Logistics Service Supply Chain Considering Technical Innovation Output Uncertainty

by Guangsheng Zhang and Zhaomin Zhang

Systems 2025, 13(7), 572; https://doi.org/10.3390/systems13070572 - 11 Jul 2025

Viewed by 786

Abstract

In the face of economic, social, and environmental pressures, the issue of sustainable development has garnered widespread attention in the Logistics Service Supply Chain (LSSC) with risk attitudes under Technical Output Uncertainty. In this regard, this paper first constructs an optimal emission reduction [...] Read more.

In the face of economic, social, and environmental pressures, the issue of sustainable development has garnered widespread attention in the Logistics Service Supply Chain (LSSC) with risk attitudes under Technical Output Uncertainty. In this regard, this paper first constructs an optimal emission reduction investment game model for an LSSC composed of Logistics Service Integrators (LSIs) and Logistics Service Providers (LSPs) against the backdrop of Technical Output Uncertainty. To this end, it quantifies the participants’ risk attitudes using a mean-variance model to analyze optimal emission reduction investment decisions for centralized and decentralized LSSC under different levels of risk tolerance. Subsequently, it designs a joint contract with altruistic preferences for sharing emission reduction costs in the LSSC. This contract analyzes the parameter constraints for achieving Pareto optimization within the supply chain. Finally, the study employs a case simulation to analyze the changes in expected revenues for centralized LSSC and joint contracts under different risk tolerance levels. The study reveals that (1) in a centralized LSSC, under risk-neutral attitudes, there exists a unique optimal emission reduction investment, which yields the highest expected return from emission reduction. However, under risk-averse attitudes, the expected return is always lower than the optimal expected return under risk neutrality. (2) In a decentralized LSSC, the emission reduction investment decisions of the Logistics Service Providers are similar to those in a centralized LSSC. (3) Under risk-neutral attitudes, the cost-sharing and altruistic preference-based joint contract can also coordinate the risk-averse LSSC under certain constraints, and by adjusting the cost-sharing and altruistic preference parameters, the expected returns can be reasonably allocated. Full article

(This article belongs to the Special Issue Organizational Digital Innovation and Transformation in Enterprise and Government Strategies)

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17 pages, 583 KB

Open AccessArticle

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

Cited by 3 | Viewed by 3495

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)

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28 pages, 2022 KB

Open AccessArticle

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

Cited by 6 | Viewed by 2092

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)

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28 pages, 1820 KB

Open AccessArticle

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

Cited by 4 | Viewed by 2179

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)

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26 pages, 2367 KB

Open AccessArticle

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

Cited by 5 | Viewed by 3191

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)

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