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Systems
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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 Practice in Engineering".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 7671

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

Published Papers (5 papers)

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Research

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 - 09 Apr 2024
Viewed by 596
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 1 | Viewed by 2420
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 - 05 Oct 2023
Viewed by 1396
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 1212
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
Viewed by 1208
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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