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A bibliometric method for assessing technological maturity: the case of additive manufacturing
While novel technologies have tremendous competitive potential, they also involve certain risks. Maturity assessment analyzes how well a technological development can fulfill an expected task. The technology readiness level (TRL) has been considered to be one of the most promising approaches for add...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267247/ https://www.ncbi.nlm.nih.gov/pubmed/30546169 http://dx.doi.org/10.1007/s11192-018-2941-1 |
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author | Lezama-Nicolás, René Rodríguez-Salvador, Marisela Río-Belver, Rosa Bildosola, Iñaki |
author_facet | Lezama-Nicolás, René Rodríguez-Salvador, Marisela Río-Belver, Rosa Bildosola, Iñaki |
author_sort | Lezama-Nicolás, René |
collection | PubMed |
description | While novel technologies have tremendous competitive potential, they also involve certain risks. Maturity assessment analyzes how well a technological development can fulfill an expected task. The technology readiness level (TRL) has been considered to be one of the most promising approaches for addressing technological maturity. Nonetheless, its assessment requires opinions of the experts, which is costly and implies the risk of personal bias. To fill this gap, this paper presents a Bibliometric Method for Assessing Technological Maturity (BIMATEM). It is a repeatable framework that assesses maturity quantitatively. Our method is based on the assumption that each technology life cycle stage can be matched to technology records contained in scientific literature, patents, and news databases. The scientific papers and patent records of mature technologies display a logistic growth behavior, while news records follow a hype-type behavior. BIMATEM determines the maturity level by curve fitting technology records to these behaviors. To test our approach, BIMATEM was applied to additive manufacturing (AM) technologies. Our results revealed that material extrusion, material jetting, powder bed fusion and vat photopolymerization are the most mature AM technologies with TRL between 6 and 7, followed by directed energy deposition with TRL between 4 and 5, and binder jetting and sheet lamination, the least mature, with TRL between 1 and 2. BIMATEM can be used by competitive technology intelligence professionals, policymakers, and further decision makers whose main interests include assessing the risk of implementing new technologies. Future research can focus on testing the method with regard to altmetrics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11192-018-2941-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6267247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-62672472018-12-11 A bibliometric method for assessing technological maturity: the case of additive manufacturing Lezama-Nicolás, René Rodríguez-Salvador, Marisela Río-Belver, Rosa Bildosola, Iñaki Scientometrics Article While novel technologies have tremendous competitive potential, they also involve certain risks. Maturity assessment analyzes how well a technological development can fulfill an expected task. The technology readiness level (TRL) has been considered to be one of the most promising approaches for addressing technological maturity. Nonetheless, its assessment requires opinions of the experts, which is costly and implies the risk of personal bias. To fill this gap, this paper presents a Bibliometric Method for Assessing Technological Maturity (BIMATEM). It is a repeatable framework that assesses maturity quantitatively. Our method is based on the assumption that each technology life cycle stage can be matched to technology records contained in scientific literature, patents, and news databases. The scientific papers and patent records of mature technologies display a logistic growth behavior, while news records follow a hype-type behavior. BIMATEM determines the maturity level by curve fitting technology records to these behaviors. To test our approach, BIMATEM was applied to additive manufacturing (AM) technologies. Our results revealed that material extrusion, material jetting, powder bed fusion and vat photopolymerization are the most mature AM technologies with TRL between 6 and 7, followed by directed energy deposition with TRL between 4 and 5, and binder jetting and sheet lamination, the least mature, with TRL between 1 and 2. BIMATEM can be used by competitive technology intelligence professionals, policymakers, and further decision makers whose main interests include assessing the risk of implementing new technologies. Future research can focus on testing the method with regard to altmetrics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11192-018-2941-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-11-01 2018 /pmc/articles/PMC6267247/ /pubmed/30546169 http://dx.doi.org/10.1007/s11192-018-2941-1 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Lezama-Nicolás, René Rodríguez-Salvador, Marisela Río-Belver, Rosa Bildosola, Iñaki A bibliometric method for assessing technological maturity: the case of additive manufacturing |
title | A bibliometric method for assessing technological maturity: the case of additive manufacturing |
title_full | A bibliometric method for assessing technological maturity: the case of additive manufacturing |
title_fullStr | A bibliometric method for assessing technological maturity: the case of additive manufacturing |
title_full_unstemmed | A bibliometric method for assessing technological maturity: the case of additive manufacturing |
title_short | A bibliometric method for assessing technological maturity: the case of additive manufacturing |
title_sort | bibliometric method for assessing technological maturity: the case of additive manufacturing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267247/ https://www.ncbi.nlm.nih.gov/pubmed/30546169 http://dx.doi.org/10.1007/s11192-018-2941-1 |
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