How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping
With the rise of data mining and predictive technologies, systematic data analytics has become popular in business practices. As data analysis can contribute to technology planning in various ways, previous studies have attempted to integrate data analysis and technology planning tools. This is also...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10829576/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841536152748687360 |
|---|---|
| author | Jinhong Kim Gamunnarbi Park Myoungkyun Woo Youngjung Geum |
| author_facet | Jinhong Kim Gamunnarbi Park Myoungkyun Woo Youngjung Geum |
| author_sort | Jinhong Kim |
| collection | DOAJ |
| description | With the rise of data mining and predictive technologies, systematic data analytics has become popular in business practices. As data analysis can contribute to technology planning in various ways, previous studies have attempted to integrate data analysis and technology planning tools. This is also the case for the technology roadmap, which is a prominent and promising technology-planning tool. Many studies have discussed data-driven technology roadmaps using various approaches. However, studies on the dynamic trends in data-driven approaches are lacking. In response, this study collected data-driven roadmap literature and conducted various analyses to identify publication patterns and changes in methodological characteristics. Keywords, networks, topics, and methodology analyses were conducted to provide in-depth implications for data-driven roadmapping. Results indicated that patent analysis still occupies a big seat in data-driven roadmapping. In addition, data-driven roadmapping has changed from business and market analyses to intelligent frameworks for future trend prediction, together with recent deep learning techniques. Apart from simple trend analysis to support decision-making, it has evolved to generate the technology roadmap using generative AI techniques such as generative adversarial network (GAN). |
| format | Article |
| id | doaj-art-0df5be1be778406c886ad68263b48502 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-0df5be1be778406c886ad68263b485022025-01-15T00:02:50ZengIEEEIEEE Access2169-35362025-01-01138297830910.1109/ACCESS.2025.352617310829576How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven RoadmappingJinhong Kim0https://orcid.org/0009-0005-2471-5494Gamunnarbi Park1Myoungkyun Woo2https://orcid.org/0009-0002-4556-5489Youngjung Geum3https://orcid.org/0000-0001-7346-2060Department of Data Science, Seoul National University of Science and Technology (SeoulTech), Seoul, South KoreaDepartment of Data Science, Seoul National University of Science and Technology (SeoulTech), Seoul, South KoreaDepartment of Data Science, Seoul National University of Science and Technology (SeoulTech), Seoul, South KoreaDepartment of Data Science, Seoul National University of Science and Technology (SeoulTech), Seoul, South KoreaWith the rise of data mining and predictive technologies, systematic data analytics has become popular in business practices. As data analysis can contribute to technology planning in various ways, previous studies have attempted to integrate data analysis and technology planning tools. This is also the case for the technology roadmap, which is a prominent and promising technology-planning tool. Many studies have discussed data-driven technology roadmaps using various approaches. However, studies on the dynamic trends in data-driven approaches are lacking. In response, this study collected data-driven roadmap literature and conducted various analyses to identify publication patterns and changes in methodological characteristics. Keywords, networks, topics, and methodology analyses were conducted to provide in-depth implications for data-driven roadmapping. Results indicated that patent analysis still occupies a big seat in data-driven roadmapping. In addition, data-driven roadmapping has changed from business and market analyses to intelligent frameworks for future trend prediction, together with recent deep learning techniques. Apart from simple trend analysis to support decision-making, it has evolved to generate the technology roadmap using generative AI techniques such as generative adversarial network (GAN).https://ieeexplore.ieee.org/document/10829576/Technology roadmapliterature reviewtrend analysisdata analysistechnology planning |
| spellingShingle | Jinhong Kim Gamunnarbi Park Myoungkyun Woo Youngjung Geum How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping IEEE Access Technology roadmap literature review trend analysis data analysis technology planning |
| title | How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping |
| title_full | How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping |
| title_fullStr | How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping |
| title_full_unstemmed | How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping |
| title_short | How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping |
| title_sort | how big data has changed technology roadmapping a review on data driven roadmapping |
| topic | Technology roadmap literature review trend analysis data analysis technology planning |
| url | https://ieeexplore.ieee.org/document/10829576/ |
| work_keys_str_mv | AT jinhongkim howbigdatahaschangedtechnologyroadmappingareviewondatadrivenroadmapping AT gamunnarbipark howbigdatahaschangedtechnologyroadmappingareviewondatadrivenroadmapping AT myoungkyunwoo howbigdatahaschangedtechnologyroadmappingareviewondatadrivenroadmapping AT youngjunggeum howbigdatahaschangedtechnologyroadmappingareviewondatadrivenroadmapping |