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Research and Practices in Technological Innovation Management Systems

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 19743

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Special Issue Editors

Prof. Dr. Wen-Hsiang Lai

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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:

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.

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

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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.

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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 (9 papers)

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Research

15 pages, 9635 KiB

Open AccessArticle

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 549

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 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

Open AccessArticle

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 1069

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, 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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17 pages, 858 KiB

Open AccessArticle

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

Viewed by 1334

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 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

Open AccessArticle

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

Viewed by 1607

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 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

Open AccessArticle

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 1 | Viewed by 2870

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 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

Open AccessArticle

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 4608

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 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

Open AccessArticle

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

Viewed by 1985

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 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

Open AccessArticle

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 1979

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 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

Open AccessArticle

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

Viewed by 2169

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 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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