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Technologies and Innovations for Sustainable Growth
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Technologies and Innovations for Sustainable Growth

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 24841

Special Issue Editors

Prof. Chulung Lee

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Guest Editor
School of Industrial Management Engineering, Korea University, Seoul 02841, Korea
Interests: technology management; air and maritime transportation; intellectual property; logistics and supply chain management
Special Issues, Collections and Topics in MDPI journals
Dr. Youngjae Han

E-Mail
Guest Editor
Railroad Type Approval Team, Korea Railroad Research Institute, Uiwang 16105, Korea
Interests: technology management; patent analysis; railway system; measurement system; propulsion system

Special Issue Information

Dear Colleagues,

Technology innovations, most notably in the IoT (Internet of Things), Big Data and Artificial Intelligence, have transformed the manufacturing and service industry sectors. In order to achieve sustainable growth, industries focus on understanding mega-trends of technologies and innovations and predicting how technologies and innovations change society and market.

This Special Issue will cover topics including (but not limited to): (1) identifying and foresting emerging technologies/innovations, (2) management of innovation activities (such as R&D and IP management) for sustainable growth, and (3) the role of governments and policies in promoting innovation activities. Both theoretical and empirical contributions are encouraged.

Prof. Chulung Lee
Dr. Youngjae Han
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. Sustainability is an international peer-reviewed open access semimonthly 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

  • Technology forecast using patent analysis
  • Model for sustainable growth
  • Sustainable transportation systems
  • Trend analysis concerning big data
  • Case studies for sustainable industrial technologies
  • Estimation of the technology life cycle using patents
  • Innovation and growth in the service sector

Published Papers (5 papers)

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Research

16 pages, 1188 KiB  
Article
Adoption and Development of the Fourth Industrial Revolution Technology: Features and Determinants
by Hyuk Chung
Sustainability 2021, 13(2), 871; https://doi.org/10.3390/su13020871 - 16 Jan 2021
Cited by 10 | Viewed by 3134
Abstract
Firms have been undergoing a fundamental transformation of the Fourth Industrial Revolution, and the transformation is driven by the adoption and development of innovative technology such as big data or artificial intelligence. While the impacts of the Fourth Industrial Revolution technology on economic [...] Read more.
Firms have been undergoing a fundamental transformation of the Fourth Industrial Revolution, and the transformation is driven by the adoption and development of innovative technology such as big data or artificial intelligence. While the impacts of the Fourth Industrial Revolution technology on economic performance have been actively documented, Korean firm-level data indicates that still, the majority of firms have not yet utilized the Fourth Industrial Revolution technology. Hence, this study examines determinants and propensity for adopting and developing the Fourth Industrial Revolution technology. Probit model estimations show that size, internal R&D intensity, the ratio of intangible assets to the sum of intangible and tangible assets, and patent rights are positively associated with adopting and developing the innovative technology, while there are sectoral differences. Notably, a strategic alliance is the most substantial factor for the propensity of adopting and developing the Fourth Industrial Revolution technology. In sum, this study finds that not only internally accumulated intangibles and R&D investment but also active collaboration with other firms can facilitate diffusion of the Fourth Industrial Revolution technology. Therefore, building up the environment to prompt collaboration can be another effective way to accelerate transformation in addition to supporting R&D and intangible investment. Full article
(This article belongs to the Special Issue Technologies and Innovations for Sustainable Growth)
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22 pages, 6066 KiB  
Article
Identification of Vacant and Emerging Technologies in Smart Mobility Through the GTM-Based Patent Map Development
by Jiwon Yu, Jong-Gyu Hwang, Jumi Hwang, Sung Chan Jun, Sumin Kang, Chulung Lee and Hyundong Kim
Sustainability 2020, 12(22), 9310; https://doi.org/10.3390/su12229310 - 10 Nov 2020
Cited by 10 | Viewed by 2992
Abstract
With the development of the online platforms and the Internet of Things (IoT), various transportation services have been provided, and the lifestyle of the general public has changed significantly. However, the speed of development of technologies and services for the mobility handicapped has [...] Read more.
With the development of the online platforms and the Internet of Things (IoT), various transportation services have been provided, and the lifestyle of the general public has changed significantly. However, the speed of development of technologies and services for the mobility handicapped has been relatively slow. Accordingly, in this paper, the smart mobility patent data for the mobility handicapped is subdivided through clustering to derive the mobility handicapped-related vacant technologies, and the prospect of the vacant technology is verified. For each cluster, a technology level map is generated in consideration of the technology growth level and the scope of authority of the vacant technology derived through the generative topographic map (GTM) patent map, and the level of the vacant technology is checked in terms of quantity and quality. Both indicators perform time series analyses on superior technology to predict technology trends and determine the technology’s promisingness. Unlike the precedent studies that focused only on quantitative analysis methods, this paper identified the usefulness of the technology through clustering and various verification processes and materialized it as a vacant technology that is applicable to actual R&D. Accordingly, through this empirical paper, it is possible to understand the current level of vacant technology in smart mobility for the mobility handicapped and establish an R&D strategy to prevent monopoly in technology in the future market and maintain competitiveness. It can also be utilized for new technology development in consideration of convergence with currently developed technology. Full article
(This article belongs to the Special Issue Technologies and Innovations for Sustainable Growth)
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17 pages, 2383 KiB  
Article
Technological Opportunity Analysis: Assistive Technology for Blind and Visually Impaired People
by Jumi Hwang, Kyung Hee Kim, Jong Gyu Hwang, Sungchan Jun, Jiwon Yu and Chulung Lee
Sustainability 2020, 12(20), 8689; https://doi.org/10.3390/su12208689 - 20 Oct 2020
Cited by 8 | Viewed by 7473
Abstract
As life expectancy increases, the number of people who suffer from blind and visual impairment due to presbyopia is gradually increasing. Assistive device systems have been used to overcome various physical, social, infrastructure, and accessibility barriers. As technology has advanced, the scope of [...] Read more.
As life expectancy increases, the number of people who suffer from blind and visual impairment due to presbyopia is gradually increasing. Assistive device systems have been used to overcome various physical, social, infrastructure, and accessibility barriers. As technology has advanced, the scope of assistive technologies has been expanded. Therefore, we explored technological opportunities in assistive technology for the blind and visually impaired to establish a strategy for the technology competition in the near future. Firstly, the patent vacuum is detected by generating the patent map based on generative topographic mapping (GTM). Secondly, social network analysis is applied to identify the relationship between patent vacuums and occupied grid points in the patent map. Finally, the technology activity index and technology impact index are considered at quantitative and qualitative levels. Consequently, it was identified that wearable devices, including the road situation signal acquisition module and data acquisition process control module, could be occupied in the future. This study can provide practical ideas for research and development (R&D) in the field of assistive devices for the blind and visually impaired. In addition, this study can be an ample source for decision/policy makers to project new contents. Full article
(This article belongs to the Special Issue Technologies and Innovations for Sustainable Growth)
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35 pages, 1286 KiB  
Article
Discovering Technology Opportunity by Keyword-Based Patent Analysis: A Hybrid Approach of Morphology Analysis and USIT
by Lijie Feng, Yuxiang Niu, Zhenfeng Liu, Jinfeng Wang and Ke Zhang
Sustainability 2020, 12(1), 136; https://doi.org/10.3390/su12010136 - 23 Dec 2019
Cited by 20 | Viewed by 4343
Abstract
As innovative technology is being developed at an accelerated rate, the identification of technology opportunities is especially critical for both companies and governments. Among various approaches to search for opportunities, one of the most frequently used is to discover technology opportunity from patent [...] Read more.
As innovative technology is being developed at an accelerated rate, the identification of technology opportunities is especially critical for both companies and governments. Among various approaches to search for opportunities, one of the most frequently used is to discover technology opportunity from patent data. In line with it, this paper aims to propose a hybrid approach based on morphological analysis (MA) and unified structured inventive thinking (USIT) for technology opportunity discovery (TOD) through patent analysis using text mining and Word2Vec clustering analysis to explore the intrinsic links of innovation elements. A basic morphology matrix is constructed according to patent information and then is extended using the innovation algorithms that are reorganized from USIT. Technology opportunities are analyzed at two layers to generate new technical ideas. To illustrate the research process and validate its utility, this paper selects the technology of coalbed methane (CBM) extraction as a use case. This hybrid approach contributes by suggesting a semi-autonomous and systematic procedure to perform MA for TOD. By integrating the innovation algorithms, this approach improves the procedure of value extension in MA. Full article
(This article belongs to the Special Issue Technologies and Innovations for Sustainable Growth)
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24 pages, 1645 KiB  
Article
Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer
by Ki Hong Kim, Young Jae Han, Sugil Lee, Sung Won Cho and Chulung Lee
Sustainability 2019, 11(22), 6240; https://doi.org/10.3390/su11226240 - 7 Nov 2019
Cited by 38 | Viewed by 6185
Abstract
Governments around the world are planning to ban sales of vehicles running on petroleum-based fuels as an effort to reduce greenhouse gas emissions, and electric vehicles surfaced as a solution to decrease pollutants produced by the transportation sector. As a result, wireless power [...] Read more.
Governments around the world are planning to ban sales of vehicles running on petroleum-based fuels as an effort to reduce greenhouse gas emissions, and electric vehicles surfaced as a solution to decrease pollutants produced by the transportation sector. As a result, wireless power transfer technology has recently gained much attention as a convenient and practical method for charging electric vehicles. In this paper, patent analysis is conducted to identify emerging and vacant technology areas of wireless power transfer. Topics are first extracted from patents by text mining, and the topics with similar semantics are grouped together to form clusters. Then, the process of identifying emerging and vacant technology areas is improved by applying a time series analysis and innovation cycle of technology to the clustering result. Lastly, the results of clustering, time series, and innovation cycle are compared to minimize the possibility of misidentifying emerging and vacant technology areas, thus improving the accuracy of the identification process and the validity of the identified technology areas. The analysis results revealed that one emerging technology area and two vacant technology areas exist in wireless power transfer. The emerging technology area identified is circuitries consisting of transmitter coils and receiver coils for wireless power transfer, and the two vacant technology areas identified are wireless charging methods based on resonant inductive coupling and wireless power transfer condition monitoring methods or devices. Full article
(This article belongs to the Special Issue Technologies and Innovations for Sustainable Growth)
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