Determining Technology Life Cycle Prediction based on Patent Bibliometric Data
The primary purpose of the present study is to determine the life cycle and technology prediction based on patent bibliometric data using Markov hidden model. The study population included 50,915 patent licenses in medical equipment extracted from the US Patent and Trademark Office database from 197...
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| Format: | Article |
| Language: | English |
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Regional Information Center for Science and Technology (RICeST)
2023-07-01
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| Series: | International Journal of Information Science and Management |
| Subjects: | |
| Online Access: | https://ijism.ricest.ac.ir/article_705739_2ba8491cfc3f172f48e6429d2937e72f.pdf |
| _version_ | 1797787910885343232 |
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| author | Ali Mansouri Maryam Mohammadpour |
| author_facet | Ali Mansouri Maryam Mohammadpour |
| author_sort | Ali Mansouri |
| collection | DOAJ |
| description | The primary purpose of the present study is to determine the life cycle and technology prediction based on patent bibliometric data using Markov hidden model. The study population included 50,915 patent licenses in medical equipment extracted from the US Patent and Trademark Office database from 1976 to 2015. The study findings revealed technology life cycle patterns in 21 medical equipment sub-areas. The status of medical device patent license indicators at different stages of the technology life cycle, alongside the likelihood of state transfer at different stages of the medical technology life cycle, were investigated. Ultimately, the results showed that "Drug delivery equipment, Disposable medical equipment, Oximeters, and Sharps (Medical instruments)" have more suitable areas for investment and commercialization. The current research results can also provide a good insight into technologies and can be used as a guide alongside experts and other decision-making methods. |
| first_indexed | 2024-03-13T01:29:07Z |
| format | Article |
| id | doaj.art-6a4203617b8f47ee9fe3e7d4c02d8f18 |
| institution | Directory Open Access Journal |
| issn | 2008-8302 2008-8310 |
| language | English |
| last_indexed | 2024-03-13T01:29:07Z |
| publishDate | 2023-07-01 |
| publisher | Regional Information Center for Science and Technology (RICeST) |
| record_format | Article |
| series | International Journal of Information Science and Management |
| spelling | doaj.art-6a4203617b8f47ee9fe3e7d4c02d8f182023-07-04T09:51:02ZengRegional Information Center for Science and Technology (RICeST)International Journal of Information Science and Management2008-83022008-83102023-07-0121316118510.22034/ijism.2023.1977585.0705739Determining Technology Life Cycle Prediction based on Patent Bibliometric DataAli Mansouri0Maryam Mohammadpour1Associate Prof., Department of Knowledge and Information Science University of Isfahan, Isfahan, Iran.MS in Knowledge and Information Science, Isfahan Science & Technology Town, Isfahan University of Technology, Isfahan, Iran.The primary purpose of the present study is to determine the life cycle and technology prediction based on patent bibliometric data using Markov hidden model. The study population included 50,915 patent licenses in medical equipment extracted from the US Patent and Trademark Office database from 1976 to 2015. The study findings revealed technology life cycle patterns in 21 medical equipment sub-areas. The status of medical device patent license indicators at different stages of the technology life cycle, alongside the likelihood of state transfer at different stages of the medical technology life cycle, were investigated. Ultimately, the results showed that "Drug delivery equipment, Disposable medical equipment, Oximeters, and Sharps (Medical instruments)" have more suitable areas for investment and commercialization. The current research results can also provide a good insight into technologies and can be used as a guide alongside experts and other decision-making methods.https://ijism.ricest.ac.ir/article_705739_2ba8491cfc3f172f48e6429d2937e72f.pdftechnology forecastingtechnology life cyclepatentshidden markov modelmedical equipment |
| spellingShingle | Ali Mansouri Maryam Mohammadpour Determining Technology Life Cycle Prediction based on Patent Bibliometric Data International Journal of Information Science and Management technology forecasting technology life cycle patents hidden markov model medical equipment |
| title | Determining Technology Life Cycle Prediction based on Patent Bibliometric Data |
| title_full | Determining Technology Life Cycle Prediction based on Patent Bibliometric Data |
| title_fullStr | Determining Technology Life Cycle Prediction based on Patent Bibliometric Data |
| title_full_unstemmed | Determining Technology Life Cycle Prediction based on Patent Bibliometric Data |
| title_short | Determining Technology Life Cycle Prediction based on Patent Bibliometric Data |
| title_sort | determining technology life cycle prediction based on patent bibliometric data |
| topic | technology forecasting technology life cycle patents hidden markov model medical equipment |
| url | https://ijism.ricest.ac.ir/article_705739_2ba8491cfc3f172f48e6429d2937e72f.pdf |
| work_keys_str_mv | AT alimansouri determiningtechnologylifecyclepredictionbasedonpatentbibliometricdata AT maryammohammadpour determiningtechnologylifecyclepredictionbasedonpatentbibliometricdata |