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Research and Practices in Technological Innovation Management Systems
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Research and Practices in Technological Innovation Management Systems

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Engineering".

Deadline for manuscript submissions: closed (30 April 2025) | Viewed by 38407

Special Issue Editors

Prof. Dr. Wen-Hsiang Lai

E-Mail Website
Guest Editor
Department of Marketing, Feng Chia University, Taichung 40724, Taiwan
Interests: IT system integration; project management; technology commercialization; technology management; technology transfer; R&D management; industry collaboration
Prof. Dr. Sheng-Tung Chen

E-Mail Website
Guest Editor
Department of Public Finance, Feng Chia University, Taichung 40724, Taiwan
Interests: fiscal expenditure; public finance; green taxation; green finance; ESG

Special Issue Information

Dear Colleagues,

Technological innovation plays a pivotal role in the success and sustainability of organizations in today's rapidly evolving business landscape. To effectively harness the power of innovation, organizations require robust management systems that facilitate the identification, development, and implementation of new technologies. Research and Practices in Technological Innovation Management Systems (RPTIMS) encompass a wide range of strategies and methodologies aimed at optimizing innovation processes within organizations. One key aspect of RPTIMS research is the exploration of effective techniques for identifying emerging technologies and evaluating their potential impact on organization in industries. This involves conducting market research, monitoring industry trends, and engaging in open innovation practices such as collaboration with external partners, startups, and research institutions.

RPTIMS explores various approaches to enhance the speed and efficiency of innovation while ensuring the alignment of technological initiatives with business objectives. Furthermore, RPTIMS focuses on the integration of technology and business strategies. This entails examining how technological innovation can create value, generate competitive advantage, and drive organizational growth. This RPTIMS Special Issue seeks paper contributions in the following areas:

  1. Innovation Strategy;
  2. Industrial Open Innovation;
  3. Industrial Technology and Market Analysis;
  4. Innovation Processes and Methods;
  5. Innovation Culture and Leadership;
  6. Intellectual Property Management;
  7. Technology Transfer and Commercialization;
  8. Innovation Metrics and Performance Measurement;
  9. Organizational Learning and Knowledge Management;
  10. Innovation Ecosystems and Collaborative Networks.

Prof. Dr. Wen-Hsiang Lai
Prof. Dr. Sheng-Tung Chen
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

  • innovation strategy
  • industrial open innovation
  • industrial technology and market analysis
  • innovation processes and methods
  • innovation culture and leadership
  • intellectual property management
  • technology transfer and commercialization
  • innovation metrics and performance measurement
  • organizational learning and knowledge management
  • innovation ecosystems and collaborative networks

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Published Papers (16 papers)

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Research

27 pages, 2014 KiB  
Article
Research on the Driving Mechanism of the Innovation Ecosystem in China’s Marine Engineering Equipment Manufacturing Industry
by Tuochen Li and Xinyu Zhou
Systems 2025, 13(4), 238; https://doi.org/10.3390/systems13040238 - 30 Mar 2025
Viewed by 245
Abstract
To enhance the strength of the marine economy, safeguard marine rights and interests, and promote the sustainable development of marine resources, China is actively building an innovation ecosystem in the marine engineering equipment manufacturing industry. Currently, the main challenge facing China’s marine engineering [...] Read more.
To enhance the strength of the marine economy, safeguard marine rights and interests, and promote the sustainable development of marine resources, China is actively building an innovation ecosystem in the marine engineering equipment manufacturing industry. Currently, the main challenge facing China’s marine engineering equipment manufacturing industry innovation ecosystem is a lack of driving forces. Therefore, this paper focuses on the driving mechanism of China’s marine engineering equipment manufacturing industry innovation ecosystem. Through a literature-coding analysis and interpretive structural modeling (ISM), 17 driving factors of the innovation ecosystem in China’s marine engineering equipment manufacturing industry were identified, and an analytical model was constructed to explore the relationships among these driving factors. Combining data from industry experts, the paper reveals the driving mechanism of China’s marine engineering equipment manufacturing industry innovation ecosystem. The results show that the management level, the risk-resilience capability of marine engineering equipment manufacturing enterprises, and the guidance capacity of universities and research institutions are key driving factors of the innovation ecosystem in China’s marine engineering equipment manufacturing industry. Strengthening these driving factors can enhance the system’s overall driving force, contributing to the high-quality development of China’s marine engineering equipment manufacturing industry. The significance of this study lies in providing a theoretical basis for optimizing the allocation of driving factors in China’s marine engineering equipment manufacturing industry innovation ecosystem and offering important pathways for innovation in and the development of the global marine engineering equipment manufacturing industry. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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25 pages, 359 KiB  
Article
Strategic Alignment of Technological Innovation for Sustainable Development: Efficiency Evaluation and Spatial Analysis in China’s Advanced Manufacturing Industry
by Zhenghan Chen, Quan Zhang, Tianzhen Tang and Mingran Deng
Systems 2025, 13(3), 139; https://doi.org/10.3390/systems13030139 - 20 Feb 2025
Viewed by 658
Abstract
Technological innovation is essential to promoting sustainable development in emerging economies as it drives regional coordination and industry upgrading. In order to address the understudied connection between regional coordination and industrial structural transformation, this study examines the spatial dynamics of technological innovation efficiency [...] Read more.
Technological innovation is essential to promoting sustainable development in emerging economies as it drives regional coordination and industry upgrading. In order to address the understudied connection between regional coordination and industrial structural transformation, this study examines the spatial dynamics of technological innovation efficiency (TIE) in China’s advanced manufacturing industry (AMI) along the Yangtze River Economic Belt (YREB) from 2007 to 2022. Through a Data Envelopment Analysis (DEA) and Spatial Durbin Model (SDM), we systematically evaluated TIE patterns using panel data from 11 provinces. Our empirical analysis reveals three key findings. (1) The temporal distribution of TIE in AMI in the YREB showed an annual increasing trend. The spatial distribution characteristics showed a gradient distribution disparity between the eastern, central, and western regions, but the regional gap of TIE in AMI is gradually closing. (2) Through the examination of Moran’s I, the spatial spillover effect of TIE in AMI was observed, that is, the TIE is spreading from high-performance provinces to other regions, suggesting that interregional collaboration and knowledge exchange may be beneficial. (3) According to the factor identification study, the main factors affecting the spatial distribution of TIE in AMI are industrialization, human capital, and innovation capability. Interestingly, the effects of information technology and economic progress are not statistically significant, suggesting that cautious government actions are required. By optimizing technological innovation processes and spatial arrangements, this study adds to the expanding body of knowledge on the spatial aspects of technological innovation and provides valuable insights for policymakers looking to enhance global competitiveness and foster sustainable economic growth in the AMI. The findings advance our knowledge of how to support sustainable economic development in emerging nations by highlighting the critical role that innovation and technology management play in removing regional development obstacles and encouraging the modernization of industrial structures. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
27 pages, 908 KiB  
Article
Social Identification in Open Innovation Projects: Role of Knowledge Collaboration and Resource Interdependence
by Shaoze Fang and Yanjun Qin
Systems 2025, 13(2), 129; https://doi.org/10.3390/systems13020129 - 17 Feb 2025
Cited by 1 | Viewed by 638
Abstract
In open innovation projects (OIPs), project members from different participating organizations often have dual social identifications, namely, project identification and organizational identification. While such dual identifications may align or conflict in shaping collaborative behaviors, their micro-level psychological mechanisms and performance implications remain underexplored, [...] Read more.
In open innovation projects (OIPs), project members from different participating organizations often have dual social identifications, namely, project identification and organizational identification. While such dual identifications may align or conflict in shaping collaborative behaviors, their micro-level psychological mechanisms and performance implications remain underexplored, as prior research predominantly adopts a firm-centric perspective. This study examines how dual social identifications affect OIP performance. The investigation considers mediating role of knowledge collaboration and the moderating role of resource interdependence. Data were collected through a questionnaire survey targeting the OIPs in major high-tech industrial development zones in China. The results show that project identification drives participating organizations to collaborate deeply (e.g., sharing core expertise) and broadly (e.g., involving diverse partners), both of which boost OIP performance. By contrast, organizational identification prioritizes expanding collaboration breadth over deep collaboration, which risks superficial engagement. Too many partners initially help but eventually harm OIP performance, whereas deeper collaboration consistently improves OIP performance. In addition, resource interdependence strengthens the positive effects of project identification on breadth and depth of knowledge collaboration but does little for organizational identification. This study extends social identity theory to the open innovation field and offers novel insights into practices of social psychological reality in OIPs, revealing how dual identifications interact with resource interdependence to shape OIP performance. Additionally, it offers actionable strategies for balancing knowledge collaboration breadth and depth while leveraging resource interdependence in OIP governance. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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28 pages, 2776 KiB  
Article
Research on Dynamic Monitoring and Early Warning for Innovation Ecosystem Resilience: Evidence from China
by Xin Wang
Systems 2025, 13(2), 102; https://doi.org/10.3390/systems13020102 - 8 Feb 2025
Viewed by 782
Abstract
Innovation ecosystem resilience (IER) is the maximum tolerance of an innovation ecosystem to accidents, crises, and other external shocks. Developing such resilience involves stages such as risk diversification, impact mitigation, recovery and reconstruction, and innovative development. This study first constructs an evaluation index [...] Read more.
Innovation ecosystem resilience (IER) is the maximum tolerance of an innovation ecosystem to accidents, crises, and other external shocks. Developing such resilience involves stages such as risk diversification, impact mitigation, recovery and reconstruction, and innovative development. This study first constructs an evaluation index system for IER with the dimensions of diversity, evolvability, fluidity, and buffering. Secondly, a coupling coordination degree model is used to evaluate and monitor IER, and the early warning levels are further subdivided with the help of an alertness degree model. Finally, through an obstacle degree model, the main obstacles to IER are determined. The research findings are as follows: First, the development trend of China’s IER is relatively stable. Second, the regional heterogeneity of IER is obvious. Third, the IER in most regions of the country is at the early warning stage. Fourth, the number of enterprises with R&D activities, the number of patents granted, the proportion of foreign funds contributing to internal R&D expenditure, and hydropower generation are the greatest obstacles to diversity, evolvability, fluidity, and buffering, respectively. The main obstacles are slightly different in different regions. This research establishes a monitoring and early warning system for IER, which is conducive to discovering weak links in an innovation ecosystem in time and sounding the alarm. This will help government departments formulate scientific and reasonable graded response plans, reduce the risk of emergencies in society and national security, and ensure the resilience and stability of the innovation ecosystems. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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26 pages, 790 KiB  
Article
Study on the Characteristics and Operational Mechanisms of Industry–University–Research Collaborative Innovation in Megaprojects: The Case from China
by Xi Zhao, Yuming Liu, Xianyi Lang, Kai Liu, Xiaoxu Yang and Lin Liu
Systems 2024, 12(12), 553; https://doi.org/10.3390/systems12120553 - 11 Dec 2024
Viewed by 1649
Abstract
Megaproject construction endeavors and technological innovation activities, led by industry–university–research (IUR) collaboration, demonstrate marked disparities in value orientations, implementing entities, and constituent components. These discrepancies lead to a mismatch between innovation demands and actual activities, as well as insufficient innovation motivation among construction [...] Read more.
Megaproject construction endeavors and technological innovation activities, led by industry–university–research (IUR) collaboration, demonstrate marked disparities in value orientations, implementing entities, and constituent components. These discrepancies lead to a mismatch between innovation demands and actual activities, as well as insufficient innovation motivation among construction entities, subsequently impacting innovation effectiveness and the commercialization of outcomes and failing to adequately support engineering construction needs. In response to this predicament, the academic community widely acknowledges IUR collaborative innovation as a solution. This research integrates fundamental theoretical analysis with a multi-case study approach and systematically dissects the distinctive features at the micro, meso, and macro levels, grounded in the collaborative innovation practices of IUR in three iconic railway engineering projects in China. Subsequently, it unravels the inherent operational mechanics of the IUR collaborative innovation system within large-scale projects. Specifically, at the micro level, the profound engagement of governments and project owners fosters a solid supportive environment and collaborative platform for IUR collaboration, while past successful cooperation experiences among key innovation entities enhance their technological and knowledge interactions. At the meso level, shared industry cognitions and values, hierarchical organizational structures, flexible institutional designs, and resource allocation strategies based on balancing risks and benefits collectively constitute the supporting system for megaproject collaborative innovation. At the macro level, the tight integration of the innovation chain and industrial chain promotes the formation of an open cooperation ecosystem, ensuring the continuity and systematic nature of innovation activities and accelerating the rapid commercialization and efficient utilization of innovation outcomes. This study not only enriches the theoretical connotations of IUR collaborative innovation in the context of major engineering projects but also provides theoretical foundations for strategy formulation and management practices for major project managers, holding significant value in guiding the innovation management of future major engineering projects. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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25 pages, 1438 KiB  
Article
Configurational Pathways to Breakthrough Innovation in the Digital Age: Evidence from Niche Leaders
by Shuai Liao, Xi Deng, Hui Lu and Luyao Niu
Systems 2024, 12(12), 542; https://doi.org/10.3390/systems12120542 - 5 Dec 2024
Viewed by 1491
Abstract
Fostering niche leaders to achieve technological breakthroughs has become a national strategic priority in emerging markets in order to overcome technology blockades and drive technological progress. Previous research indicates that achieving breakthrough innovation, particularly for firms with resource constraints, is a multifaceted phenomenon [...] Read more.
Fostering niche leaders to achieve technological breakthroughs has become a national strategic priority in emerging markets in order to overcome technology blockades and drive technological progress. Previous research indicates that achieving breakthrough innovation, particularly for firms with resource constraints, is a multifaceted phenomenon occurring across various levels. Based on the technology–organization–environment (TOE) framework, this paper aims to examine the influence of technological, organizational, and environmental factors on the breakthrough innovation of niche leaders in emerging markets from a configurational perspective. Using dynamic qualitative comparative analysis (QCA), we analyzed panel data from 87 Chinese niche leaders (2018–2023) through inter-group, intra-group, and pooled comparisons to uncover distinct configurational pathways to breakthrough innovation. Our findings reveal three effective pathways: an R&D-driven innovation pathway, a digital transformation-driven innovation pathway, and a comprehensive support innovation pathway. Additionally, we identified two configurational pathways leading to the absence of high-breakthrough innovation: the conservative management configuration, and the digital island configuration. Our results underscore the essential role of government subsidies, the complementary impact of digital transformation and R&D, and the restrictive effect of rigid governance structures. Furthermore, these pathways demonstrate significant regional variations and temporal evolution, highlighting the context-dependent nature of breakthrough innovation in emerging economies. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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38 pages, 10494 KiB  
Article
From Concept to Market: Ensemble Predictive Model for Research Project Crowdfunding Readiness
by Andreea Cristina Ionica, Stanislav Cseminschi and Monica Leba
Systems 2024, 12(12), 535; https://doi.org/10.3390/systems12120535 - 28 Nov 2024
Viewed by 734
Abstract
This study introduces an ensemble model that integrates random forest, gradient boosting, and logistic regression to predict the success of crowdfunding campaigns. Our research develops a novel set of metrics that assess the developmental stage of research projects, facilitating the transition from concept [...] Read more.
This study introduces an ensemble model that integrates random forest, gradient boosting, and logistic regression to predict the success of crowdfunding campaigns. Our research develops a novel set of metrics that assess the developmental stage of research projects, facilitating the transition from concept to market-ready product. Utilizing data from multiple sources, including Kaggle’s dataset of Kickstarter and Indiegogo projects and a proprietary dataset tailored to our study, the model’s performance was evaluated against traditional implementations of random forest and gradient boosting. The results demonstrate the ensemble model’s superior performance, achieving an accuracy of 98.94% and an F1 score of 98.81%, significantly outperforming the individual models, showing the best accuracies of around 91% for random forest and lower scores for gradient boosting. This enhancement in predictive power allows for optimized resource allocation and strategic planning in project development, thereby increasing the likelihood of crowdfunding success. This approach streamlines the process of bringing innovative ideas to final products, while at the same time offering a methodologically advanced tool for stakeholders to enhance their campaign strategies effectively. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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15 pages, 9635 KiB  
Article
An Integrated Smart Manufacturing System for Customer Design Experience
by Ying-Jiun Hsieh, Wan-Ju Huang and Li-Hung Lan
Systems 2024, 12(10), 426; https://doi.org/10.3390/systems12100426 - 12 Oct 2024
Viewed by 1104
Abstract
This study focuses on the development of an integrated smart manufacturing system (ISMS) that centers on custom design experiences, utilizing virtual reality (VR) and cloud integration to enhance operational value. Through a Design for Excellence (DFX) approach, this system aims to seamlessly incorporate [...] Read more.
This study focuses on the development of an integrated smart manufacturing system (ISMS) that centers on custom design experiences, utilizing virtual reality (VR) and cloud integration to enhance operational value. Through a Design for Excellence (DFX) approach, this system aims to seamlessly incorporate customer-specific designs into the manufacturing process, thus aligning closely with consumer needs. The research contributes significantly by (1) implementing a customer-focused design system that enhances sales benefits, (2) enabling a smooth transition from design drawings to automated production, thereby increasing manufacturing efficiency, and (3) establishing a digital transformation framework that integrates design, production, and marketing to boost overall business value. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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27 pages, 1569 KiB  
Article
The Impact of Scientific and Technological Information Resource Utilization on Breakthrough Innovation in Enterprises: The Moderating Role of Strategic Aggressiveness
by Jianhua Hou, Xiucai Yang and Haoyang Song
Systems 2024, 12(7), 248; https://doi.org/10.3390/systems12070248 - 10 Jul 2024
Cited by 1 | Viewed by 1647
Abstract
This study aims to explore the relationship between the utilization of scientific and technological information resources and breakthrough innovation in enterprises, examining the moderating role of strategic aggressiveness in this relationship. Based on an investigation of 438,228 patent data from 2616 Chinese enterprises, [...] Read more.
This study aims to explore the relationship between the utilization of scientific and technological information resources and breakthrough innovation in enterprises, examining the moderating role of strategic aggressiveness in this relationship. Based on an investigation of 438,228 patent data from 2616 Chinese enterprises, we construct a theoretical framework of “strategy–capability–performance” and conduct an empirical study using a mixed-effects model. The results indicate that both the intensity and imbalance of scientific and technological information resource utilization have significant positive effects on breakthrough innovation in enterprises. Further analysis reveals that strategic aggressiveness plays a moderating role in the relationship between the utilization of scientific and technological information resources and breakthrough innovation. Additionally, heterogeneity analysis shows differences in the impact of scientific and technological information resource utilization on breakthrough innovation across different regions and ownership types. Specifically, the imbalance of scientific and technological information resource utilization in coastal areas has a greater impact on breakthrough innovation than in non-coastal areas, and the intensity of scientific and technological information resource utilization in state-owned enterprises has a greater impact on breakthrough innovation than in non-state-owned enterprises. The findings of this study provide important insights for enterprise innovation management, helping enterprises to more effectively utilize scientific and technological information resources to drive breakthrough innovation and promote sustainable and healthy development. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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16 pages, 858 KiB  
Article
Innovative Thinking in Volunteer Organizations: Addressing the Impact of Psychological Ownership on Volunteer Organizational Commitment
by Ming-Jin Hsieh and Shiu-Kuan Chiu
Systems 2024, 12(7), 228; https://doi.org/10.3390/systems12070228 - 24 Jun 2024
Cited by 1 | Viewed by 2558
Abstract
This study explores the impact of psychological ownership on volunteer commitment within volunteer organizations. By introducing psychological ownership as a new variable, this research aims to enhance volunteer commitment through improved management practices and innovations. The study involved a random sample of educational [...] Read more.
This study explores the impact of psychological ownership on volunteer commitment within volunteer organizations. By introducing psychological ownership as a new variable, this research aims to enhance volunteer commitment through improved management practices and innovations. The study involved a random sample of educational volunteers from primary schools, who completed questionnaires after being briefed by the researchers. An analysis of 212 valid responses revealed that psychological ownership significantly influences organizational commitment, with volunteer motivation acting as a partial mediator. Based on these findings, the study suggests two innovative strategies to promote volunteer commitment. First, developing a diverse knowledge base for volunteer managers to improve their leadership and collaboration skills. Second, integrating volunteers as a subsystem within the staff through decentralized decision making, thereby increasing their participation and sense of responsibility. These insights extend the concept of psychological ownership to volunteer settings, offering theoretical contributions and practical implications for enhancing volunteer retention rates and organizational effectiveness. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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24 pages, 1138 KiB  
Article
Research on the Impact of Inter-Industry Innovation Networks on Collaborative Innovation Performance: A Case Study of Strategic Emerging Industries
by Jianbang Shi and Zhenhong Xiao
Systems 2024, 12(6), 211; https://doi.org/10.3390/systems12060211 - 14 Jun 2024
Cited by 3 | Viewed by 3801
Abstract
As global economic competition intensifies, collaborative innovation in strategic emerging industries has become a key factor in promoting economic growth and business development, attracting widespread attention. To delve into the mechanisms of collaborative innovation among China’s strategic emerging industries, this study employs a [...] Read more.
As global economic competition intensifies, collaborative innovation in strategic emerging industries has become a key factor in promoting economic growth and business development, attracting widespread attention. To delve into the mechanisms of collaborative innovation among China’s strategic emerging industries, this study employs a social network analysis. It investigates the characteristics of these industries by analyzing 8,775,496 invention patents, exploring the impact of inter-industry innovation networks on collaborative innovation. Furthermore, this study incorporates industry knowledge acquisition as a mediating variable and the network density within individual industries as a moderating variable, to more comprehensively explain this impact mechanism. We find that relational and structural embeddings within inter-industry innovation networks significantly positively affect collaborative innovation performance, highlighting the importance of partnerships and the critical role of network configurations. Additionally, the breadth and depth of knowledge acquisition mediate the relationship between relational embedding in inter-industry innovation networks and collaborative innovation performance, emphasizing the pivotal role of knowledge acquisition in fostering collaborative innovation. Lastly, the network density within individual industries positively moderates the relationships between both relational and structural embedding in inter-industry innovation networks and collaborative innovation performance, revealing specific impacts of both internal and external industry innovation network characteristics on collaborative innovation. These findings not only provide practical guidance for collaborative innovation across industries but also offer new insights and implications for policy-making and academic research. In future industrial development, special emphasis should be placed on establishing and maintaining partnerships, optimizing inter-industry innovation networks, and enhancing the breadth and depth of knowledge acquisition to foster sustainable development of collaborative innovation. This is crucial for enhancing corporate competitiveness, creating more job opportunities, and driving innovative economic development. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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21 pages, 2125 KiB  
Article
A Meta-Analysis of Innovation Management in Scientific Research: Unveiling the Frontier
by Denis Juracka, Marek Nagy, Katarina Valaskova and Elvira Nica
Systems 2024, 12(4), 130; https://doi.org/10.3390/systems12040130 - 9 Apr 2024
Cited by 4 | Viewed by 4740
Abstract
Innovation is a critical element in numerous domains, especially when it comes to determining the course of business success via efficient innovation management systems. The objective of this study is to determine which innovation category has the greatest impact on the effectiveness of [...] Read more.
Innovation is a critical element in numerous domains, especially when it comes to determining the course of business success via efficient innovation management systems. The objective of this study is to determine which innovation category has the greatest impact on the effectiveness of innovation management by analyzing the correlation of innovation and its associated activities on the innovation performance of companies. This study synthesizes empirical research findings regarding the relationship between management and innovation performance through the utilization of meta-analysis. In recent decades, meta-analysis has gained significant prominence as a method to improve the precision of results by integrating multiple studies into a comprehensive analysis. Systematic reviews and meta-analyses enhance the credibility of research outcomes due to their status as the most dependable forms of evidence. A noteworthy correlation is observed between innovation performance and innovation categories, with small and medium-sized enterprises (SMEs) exhibiting the strongest correlation. Significantly, organizational innovations demonstrate the strongest correlation coefficient, indicating that they have the greatest impact on innovation performance. This research highlights the significance of innovation management in effectively addressing enterprise challenges and promoting business success. It specifically emphasizes the critical role that organizational innovations play in facilitating innovation performance. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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21 pages, 1958 KiB  
Article
Overseas Market Expansion Strategy of the Global Electronic Components Company Based on the AHP Analysis of Factors in Technology, Organization, and Environment Context: A Case of Samsung Electro-Mechanics
by Won Chang Cho, Erdal Atukeren and Hyosook Yim
Systems 2023, 11(11), 532; https://doi.org/10.3390/systems11110532 - 31 Oct 2023
Cited by 3 | Viewed by 6672
Abstract
The overseas market expansion strategy is important for achieving competitive advantage and sustainable growth of global electronic component companies. Although the global electronic component market has grown rapidly recently, research focusing on the innovation strategy of global electronic component companies’ expansion into overseas [...] Read more.
The overseas market expansion strategy is important for achieving competitive advantage and sustainable growth of global electronic component companies. Although the global electronic component market has grown rapidly recently, research focusing on the innovation strategy of global electronic component companies’ expansion into overseas markets is scarce. This paper defines the key factors that influence the success of a global electronic component company’s overseas market expansion strategy based on the Technology, Organization, and Environment (TOE) framework and quantitatively identifies the relative importance of factors at the technology, organization, and environmental levels through Analytic Hierarchy Process (AHP) analysis. As a case study, we analyze Samsung Electro-Mechanics, which has grown as a global electronic components company through an overseas market expansion strategy in recent decades. As a result of the analysis, among the three top factors defined as key factors, the technology factor was evaluated as the most important factor, and among the subfactors of the technology factor, “R&D Availability”, and “Production Availability” were analyzed as the most important influencing factors. These analysis results suggest that global electronic component companies can achieve successful results when they pursue overseas market expansion strategies by prioritizing technology development and focusing on growth strategies suited to the market environment. This study is meaningful as an academic study focusing on the overseas market expansion strategies of global electronic component companies and makes a practical contribution by providing management implications that can be taken by electronic component companies seeking to expand overseas markets. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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17 pages, 3057 KiB  
Article
Cross-Departmental Synergetic Design in Home Appliance Enterprises—Exploring the Role of Project Management, Social Capital, and Organizational Efficiency in the Context of Sustainability
by Chun Yang and Min Wang
Systems 2023, 11(10), 504; https://doi.org/10.3390/systems11100504 - 5 Oct 2023
Cited by 1 | Viewed by 2520
Abstract
This article discusses the interactions among project management, social capital, and organizational efficiency in the cross-departmental synergetic design of home appliance enterprises, with the goal of providing a reference for related enterprises’ collaborative innovation. The structural equation modeling was used in this study [...] Read more.
This article discusses the interactions among project management, social capital, and organizational efficiency in the cross-departmental synergetic design of home appliance enterprises, with the goal of providing a reference for related enterprises’ collaborative innovation. The structural equation modeling was used in this study to analyze the trust relationships, shared vision, and mutually motivating innovation teams established among people, information, social capital, and organizational efficiency in the project context. Research has found that effective information sharing and communication in the cross-departmental synergetic design of enterprises can significantly improve organizational performance and competitiveness under the conditions of social capital and task adaptation. Synergetic design innovations in organizations promote mutual trust, understanding, and the acceleration of innovation among organizational members, thereby achieving the enterprise’s goal of sustainable development. This study concludes that social capital is essential for enterprises. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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18 pages, 1156 KiB  
Article
What Kind of Market Is Conducive to the Development of High-Tech Industry? Configuration Analysis Based on Market Field Theory
by Zhenyu Huang
Systems 2023, 11(9), 444; https://doi.org/10.3390/systems11090444 - 26 Aug 2023
Viewed by 3436
Abstract
The high-tech industry is important in supporting China’s construction of a high-quality modern economic system. The high-tech industry markets are spaces for the supply and transaction of high-tech products. The existing research lacks in-depth discussions on the constituent factors and shaping mechanisms of [...] Read more.
The high-tech industry is important in supporting China’s construction of a high-quality modern economic system. The high-tech industry markets are spaces for the supply and transaction of high-tech products. The existing research lacks in-depth discussions on the constituent factors and shaping mechanisms of the high-tech industry market. This paper constructs the market field configuration model of the high-tech industry and studies the impact of the market field configuration of the high-tech industry in 30 provinces of China on the innovation performance of the high-tech industry using the fuzzy-set qualitative comparative analysis method. The findings are as follows: (1) The three structural variables of network, institution, and cognition cannot individually constitute the necessary conditions for explaining the high or low innovation performance of high-tech industries; (2) Three high-tech industry market field configurations can lead to high innovation performance, and the condition combination among different configurations has a substitution effect; (3) Four high-tech industry market field configurations will lead to low innovation performance, in which the lack of multiple conditions in the network, system, and cognition is the main reason for the market failure. The research conclusions of this study highlight the cognitive role of market construction and the configuration characteristics of effective high-tech industry market fields, which provides practical enlightenment for China to improve the innovation performance of high-tech industries. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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25 pages, 6360 KiB  
Article
A Novel Methodology for Estimating Technology Value and Importance of Factors in Market-Based Approach
by Juho Yoon, Aparajita Bose, Hun Park, Jongtaik Lee and Byunghoon Kim
Systems 2023, 11(9), 439; https://doi.org/10.3390/systems11090439 - 23 Aug 2023
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Abstract
Technology valuation methods are classified into income-based, cost-based, and market-based approaches depending on the perspective of valuing technology. The market approach evaluates the value of technology by referring to cases in which similar technologies have been traded before. In this study, we use [...] Read more.
Technology valuation methods are classified into income-based, cost-based, and market-based approaches depending on the perspective of valuing technology. The market approach evaluates the value of technology by referring to cases in which similar technologies have been traded before. In this study, we use prior technology transaction data to estimate the technology value based on the market approach and to identify influential factors to the estimated value. To this end, we adopt a multivariate k-nearest neighbor (MKNN) regression model to accommodate mixed-type input variables aiming at estimating multivariate technology values, selecting influencing factors, and the relative importance of the selected factors. In addition, we can optimize the number of transaction cases k in k-NN regression. Our proposed regression model outperforms an embedding model with cosine similarity in predicting multivariate response variables. In addition, we illustrate how to select and assess the influential factors based on the real-life dataset. Full article
(This article belongs to the Special Issue Research and Practices in Technological Innovation Management Systems)
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