Forecasting and evaluating emerging technologies based on supply and demand matching : a case study of China's gerontechnology

Gespeichert in:

Autor*in:	Mi, Lan [verfasserIn] Huang, Lu-cheng [verfasserIn] Han, Zhao-xi [verfasserIn] Miao, Hong [verfasserIn] Wu, Feifei [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	emerging technologies gerontechnology semantic analysis Supply and demand matching technology forecasting

Übergeordnetes Werk:	Enthalten in: Technology analysis & strategic management - London : Taylor & Francis Group, 1989, 34(2022), 3, Seite 290-306
Übergeordnetes Werk:	volume:34 ; year:2022 ; number:3 ; pages:290-306

Links:	Link aufrufen Link aufrufen Link aufrufen

DOI / URN:	10.1080/09537325.2021.1895982

Katalog-ID:	182001598X

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982			\|2 26 \|1 00 \|x DE-206 \|b While numerous studies have examined the importance of technology innovation in supporting the aging society, few have been specifically conducted on the emerging technologies that forecast for the elderly. Moreover, existing related research lacks consideration of public users' demands, and the forecasting results have not been linked with the actual technology supply in the market, which may easily lead to waste of resources and deviation of R&D focus. Given that, we present a novel method to forecast and evaluate emerging technologies based on technology supply and demand (S&D) matching. In the case study of China's gerontechnology, we first systematically excavate the elderly's demands and match them with the emerging gerontechnologies. Then, we analyse technology supply to filter out S&D oversaturated technologies and screen out S&D undersaturated results by the text semantic mining and similarity matching. Among the results, 27.68% do not have an effective supply yet, 33.04% have saturated or oversaturated. Besides, we use the TRIZ theory to filtrate key emerging areas and find the evolution path, and six significant evolutionary trends are extracted. This paper will help decision makers to accurately target the most promising emerging technologies.Highlights A framework to forecast emerging technology based on supply and demand match.Considering aging population in the technology forecasting and foresight.Monitoring emerging technology trends by using social user's demands analysis.75 emerging technologies and 6 evolution trends of China's gerontechnology.Filter out 33.04% supply saturated and oversaturated of forecasted results.

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allfields	10.1080/09537325.2021.1895982 doi (DE-627)182001598X (DE-599)KXP182001598X DE-627 ger DE-627 rda eng Mi, Lan verfasserin (DE-588)1272897192 (DE-627)1822651026 aut Forecasting and evaluating emerging technologies based on supply and demand matching a case study of China's gerontechnology Lan Mi, Lu-cheng Huang, Zhao-xi Han, Hong Miao and Feifei Wu 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier emerging technologies (dpeaa)DE-206 gerontechnology (dpeaa)DE-206 semantic analysis (dpeaa)DE-206 Supply and demand matching (dpeaa)DE-206 technology forecasting (dpeaa)DE-206 Huang, Lu-cheng verfasserin aut Han, Zhao-xi verfasserin aut Miao, Hong verfasserin (DE-588)1254003320 (DE-627)1796468371 aut Wu, Feifei verfasserin (DE-588)125400341X (DE-627)1796468444 aut Enthalten in Technology analysis & strategic management London : Taylor & Francis Group, 1989 34(2022), 3, Seite 290-306 Online-Ressource (DE-627)301516219 (DE-600)1485021-7 (DE-576)263253015 1465-3990 nnns volume:34 year:2022 number:3 pages:290-306 https://www.tandfonline.com/doi/pdf/10.1080/09537325.2021.1895982 Verlag lizenzpflichtig https://doi.org/10.1080/09537325.2021.1895982 Resolving-System lizenzpflichtig https://www.tandfonline.com/doi/epub/10.1080/09537325.2021.1895982 Verlag lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 34 2022 3 290-306 26 01 0206 420206352X x1z 26-10-22 26 00 DE-206 While numerous studies have examined the importance of technology innovation in supporting the aging society, few have been specifically conducted on the emerging technologies that forecast for the elderly. Moreover, existing related research lacks consideration of public users' demands, and the forecasting results have not been linked with the actual technology supply in the market, which may easily lead to waste of resources and deviation of R&D focus. Given that, we present a novel method to forecast and evaluate emerging technologies based on technology supply and demand (S&D) matching. In the case study of China's gerontechnology, we first systematically excavate the elderly's demands and match them with the emerging gerontechnologies. Then, we analyse technology supply to filter out S&D oversaturated technologies and screen out S&D undersaturated results by the text semantic mining and similarity matching. Among the results, 27.68% do not have an effective supply yet, 33.04% have saturated or oversaturated. Besides, we use the TRIZ theory to filtrate key emerging areas and find the evolution path, and six significant evolutionary trends are extracted. This paper will help decision makers to accurately target the most promising emerging technologies.Highlights A framework to forecast emerging technology based on supply and demand match.Considering aging population in the technology forecasting and foresight.Monitoring emerging technology trends by using social user's demands analysis.75 emerging technologies and 6 evolution trends of China's gerontechnology.Filter out 33.04% supply saturated and oversaturated of forecasted results.
spelling	10.1080/09537325.2021.1895982 doi (DE-627)182001598X (DE-599)KXP182001598X DE-627 ger DE-627 rda eng Mi, Lan verfasserin (DE-588)1272897192 (DE-627)1822651026 aut Forecasting and evaluating emerging technologies based on supply and demand matching a case study of China's gerontechnology Lan Mi, Lu-cheng Huang, Zhao-xi Han, Hong Miao and Feifei Wu 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier emerging technologies (dpeaa)DE-206 gerontechnology (dpeaa)DE-206 semantic analysis (dpeaa)DE-206 Supply and demand matching (dpeaa)DE-206 technology forecasting (dpeaa)DE-206 Huang, Lu-cheng verfasserin aut Han, Zhao-xi verfasserin aut Miao, Hong verfasserin (DE-588)1254003320 (DE-627)1796468371 aut Wu, Feifei verfasserin (DE-588)125400341X (DE-627)1796468444 aut Enthalten in Technology analysis & strategic management London : Taylor & Francis Group, 1989 34(2022), 3, Seite 290-306 Online-Ressource (DE-627)301516219 (DE-600)1485021-7 (DE-576)263253015 1465-3990 nnns volume:34 year:2022 number:3 pages:290-306 https://www.tandfonline.com/doi/pdf/10.1080/09537325.2021.1895982 Verlag lizenzpflichtig https://doi.org/10.1080/09537325.2021.1895982 Resolving-System lizenzpflichtig https://www.tandfonline.com/doi/epub/10.1080/09537325.2021.1895982 Verlag lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 34 2022 3 290-306 26 01 0206 420206352X x1z 26-10-22 26 00 DE-206 While numerous studies have examined the importance of technology innovation in supporting the aging society, few have been specifically conducted on the emerging technologies that forecast for the elderly. Moreover, existing related research lacks consideration of public users' demands, and the forecasting results have not been linked with the actual technology supply in the market, which may easily lead to waste of resources and deviation of R&D focus. Given that, we present a novel method to forecast and evaluate emerging technologies based on technology supply and demand (S&D) matching. In the case study of China's gerontechnology, we first systematically excavate the elderly's demands and match them with the emerging gerontechnologies. Then, we analyse technology supply to filter out S&D oversaturated technologies and screen out S&D undersaturated results by the text semantic mining and similarity matching. Among the results, 27.68% do not have an effective supply yet, 33.04% have saturated or oversaturated. Besides, we use the TRIZ theory to filtrate key emerging areas and find the evolution path, and six significant evolutionary trends are extracted. This paper will help decision makers to accurately target the most promising emerging technologies.Highlights A framework to forecast emerging technology based on supply and demand match.Considering aging population in the technology forecasting and foresight.Monitoring emerging technology trends by using social user's demands analysis.75 emerging technologies and 6 evolution trends of China's gerontechnology.Filter out 33.04% supply saturated and oversaturated of forecasted results.
allfields_unstemmed	10.1080/09537325.2021.1895982 doi (DE-627)182001598X (DE-599)KXP182001598X DE-627 ger DE-627 rda eng Mi, Lan verfasserin (DE-588)1272897192 (DE-627)1822651026 aut Forecasting and evaluating emerging technologies based on supply and demand matching a case study of China's gerontechnology Lan Mi, Lu-cheng Huang, Zhao-xi Han, Hong Miao and Feifei Wu 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier emerging technologies (dpeaa)DE-206 gerontechnology (dpeaa)DE-206 semantic analysis (dpeaa)DE-206 Supply and demand matching (dpeaa)DE-206 technology forecasting (dpeaa)DE-206 Huang, Lu-cheng verfasserin aut Han, Zhao-xi verfasserin aut Miao, Hong verfasserin (DE-588)1254003320 (DE-627)1796468371 aut Wu, Feifei verfasserin (DE-588)125400341X (DE-627)1796468444 aut Enthalten in Technology analysis & strategic management London : Taylor & Francis Group, 1989 34(2022), 3, Seite 290-306 Online-Ressource (DE-627)301516219 (DE-600)1485021-7 (DE-576)263253015 1465-3990 nnns volume:34 year:2022 number:3 pages:290-306 https://www.tandfonline.com/doi/pdf/10.1080/09537325.2021.1895982 Verlag lizenzpflichtig https://doi.org/10.1080/09537325.2021.1895982 Resolving-System lizenzpflichtig https://www.tandfonline.com/doi/epub/10.1080/09537325.2021.1895982 Verlag lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 34 2022 3 290-306 26 01 0206 420206352X x1z 26-10-22 26 00 DE-206 While numerous studies have examined the importance of technology innovation in supporting the aging society, few have been specifically conducted on the emerging technologies that forecast for the elderly. Moreover, existing related research lacks consideration of public users' demands, and the forecasting results have not been linked with the actual technology supply in the market, which may easily lead to waste of resources and deviation of R&D focus. Given that, we present a novel method to forecast and evaluate emerging technologies based on technology supply and demand (S&D) matching. In the case study of China's gerontechnology, we first systematically excavate the elderly's demands and match them with the emerging gerontechnologies. Then, we analyse technology supply to filter out S&D oversaturated technologies and screen out S&D undersaturated results by the text semantic mining and similarity matching. Among the results, 27.68% do not have an effective supply yet, 33.04% have saturated or oversaturated. Besides, we use the TRIZ theory to filtrate key emerging areas and find the evolution path, and six significant evolutionary trends are extracted. This paper will help decision makers to accurately target the most promising emerging technologies.Highlights A framework to forecast emerging technology based on supply and demand match.Considering aging population in the technology forecasting and foresight.Monitoring emerging technology trends by using social user's demands analysis.75 emerging technologies and 6 evolution trends of China's gerontechnology.Filter out 33.04% supply saturated and oversaturated of forecasted results.
allfieldsGer	10.1080/09537325.2021.1895982 doi (DE-627)182001598X (DE-599)KXP182001598X DE-627 ger DE-627 rda eng Mi, Lan verfasserin (DE-588)1272897192 (DE-627)1822651026 aut Forecasting and evaluating emerging technologies based on supply and demand matching a case study of China's gerontechnology Lan Mi, Lu-cheng Huang, Zhao-xi Han, Hong Miao and Feifei Wu 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier emerging technologies (dpeaa)DE-206 gerontechnology (dpeaa)DE-206 semantic analysis (dpeaa)DE-206 Supply and demand matching (dpeaa)DE-206 technology forecasting (dpeaa)DE-206 Huang, Lu-cheng verfasserin aut Han, Zhao-xi verfasserin aut Miao, Hong verfasserin (DE-588)1254003320 (DE-627)1796468371 aut Wu, Feifei verfasserin (DE-588)125400341X (DE-627)1796468444 aut Enthalten in Technology analysis & strategic management London : Taylor & Francis Group, 1989 34(2022), 3, Seite 290-306 Online-Ressource (DE-627)301516219 (DE-600)1485021-7 (DE-576)263253015 1465-3990 nnns volume:34 year:2022 number:3 pages:290-306 https://www.tandfonline.com/doi/pdf/10.1080/09537325.2021.1895982 Verlag lizenzpflichtig https://doi.org/10.1080/09537325.2021.1895982 Resolving-System lizenzpflichtig https://www.tandfonline.com/doi/epub/10.1080/09537325.2021.1895982 Verlag lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 34 2022 3 290-306 26 01 0206 420206352X x1z 26-10-22 26 00 DE-206 While numerous studies have examined the importance of technology innovation in supporting the aging society, few have been specifically conducted on the emerging technologies that forecast for the elderly. Moreover, existing related research lacks consideration of public users' demands, and the forecasting results have not been linked with the actual technology supply in the market, which may easily lead to waste of resources and deviation of R&D focus. Given that, we present a novel method to forecast and evaluate emerging technologies based on technology supply and demand (S&D) matching. In the case study of China's gerontechnology, we first systematically excavate the elderly's demands and match them with the emerging gerontechnologies. Then, we analyse technology supply to filter out S&D oversaturated technologies and screen out S&D undersaturated results by the text semantic mining and similarity matching. Among the results, 27.68% do not have an effective supply yet, 33.04% have saturated or oversaturated. Besides, we use the TRIZ theory to filtrate key emerging areas and find the evolution path, and six significant evolutionary trends are extracted. This paper will help decision makers to accurately target the most promising emerging technologies.Highlights A framework to forecast emerging technology based on supply and demand match.Considering aging population in the technology forecasting and foresight.Monitoring emerging technology trends by using social user's demands analysis.75 emerging technologies and 6 evolution trends of China's gerontechnology.Filter out 33.04% supply saturated and oversaturated of forecasted results.
allfieldsSound	10.1080/09537325.2021.1895982 doi (DE-627)182001598X (DE-599)KXP182001598X DE-627 ger DE-627 rda eng Mi, Lan verfasserin (DE-588)1272897192 (DE-627)1822651026 aut Forecasting and evaluating emerging technologies based on supply and demand matching a case study of China's gerontechnology Lan Mi, Lu-cheng Huang, Zhao-xi Han, Hong Miao and Feifei Wu 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier emerging technologies (dpeaa)DE-206 gerontechnology (dpeaa)DE-206 semantic analysis (dpeaa)DE-206 Supply and demand matching (dpeaa)DE-206 technology forecasting (dpeaa)DE-206 Huang, Lu-cheng verfasserin aut Han, Zhao-xi verfasserin aut Miao, Hong verfasserin (DE-588)1254003320 (DE-627)1796468371 aut Wu, Feifei verfasserin (DE-588)125400341X (DE-627)1796468444 aut Enthalten in Technology analysis & strategic management London : Taylor & Francis Group, 1989 34(2022), 3, Seite 290-306 Online-Ressource (DE-627)301516219 (DE-600)1485021-7 (DE-576)263253015 1465-3990 nnns volume:34 year:2022 number:3 pages:290-306 https://www.tandfonline.com/doi/pdf/10.1080/09537325.2021.1895982 Verlag lizenzpflichtig https://doi.org/10.1080/09537325.2021.1895982 Resolving-System lizenzpflichtig https://www.tandfonline.com/doi/epub/10.1080/09537325.2021.1895982 Verlag lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 34 2022 3 290-306 26 01 0206 420206352X x1z 26-10-22 26 00 DE-206 While numerous studies have examined the importance of technology innovation in supporting the aging society, few have been specifically conducted on the emerging technologies that forecast for the elderly. Moreover, existing related research lacks consideration of public users' demands, and the forecasting results have not been linked with the actual technology supply in the market, which may easily lead to waste of resources and deviation of R&D focus. Given that, we present a novel method to forecast and evaluate emerging technologies based on technology supply and demand (S&D) matching. In the case study of China's gerontechnology, we first systematically excavate the elderly's demands and match them with the emerging gerontechnologies. Then, we analyse technology supply to filter out S&D oversaturated technologies and screen out S&D undersaturated results by the text semantic mining and similarity matching. Among the results, 27.68% do not have an effective supply yet, 33.04% have saturated or oversaturated. Besides, we use the TRIZ theory to filtrate key emerging areas and find the evolution path, and six significant evolutionary trends are extracted. This paper will help decision makers to accurately target the most promising emerging technologies.Highlights A framework to forecast emerging technology based on supply and demand match.Considering aging population in the technology forecasting and foresight.Monitoring emerging technology trends by using social user's demands analysis.75 emerging technologies and 6 evolution trends of China's gerontechnology.Filter out 33.04% supply saturated and oversaturated of forecasted results.
language	English
source	Enthalten in Technology analysis & strategic management 34(2022), 3, Seite 290-306 volume:34 year:2022 number:3 pages:290-306
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"><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">420206352X</subfield><subfield code="y">x1z</subfield><subfield code="z">26-10-22</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">While numerous studies have examined the importance of technology innovation in supporting the aging society, few have been specifically conducted on the emerging technologies that forecast for the elderly. Moreover, existing related research lacks consideration of public users' demands, and the forecasting results have not been linked with the actual technology supply in the market, which may easily lead to waste of resources and deviation of R&D focus. Given that, we present a novel method to forecast and evaluate emerging technologies based on technology supply and demand (S&D) matching. In the case study of China's gerontechnology, we first systematically excavate the elderly's demands and match them with the emerging gerontechnologies. Then, we analyse technology supply to filter out S&D oversaturated technologies and screen out S&D undersaturated results by the text semantic mining and similarity matching. Among the results, 27.68% do not have an effective supply yet, 33.04% have saturated or oversaturated. Besides, we use the TRIZ theory to filtrate key emerging areas and find the evolution path, and six significant evolutionary trends are extracted. This paper will help decision makers to accurately target the most promising emerging technologies.Highlights A framework to forecast emerging technology based on supply and demand match.Considering aging population in the technology forecasting and foresight.Monitoring emerging technology trends by using social user's demands analysis.75 emerging technologies and 6 evolution trends of China's gerontechnology.Filter out 33.04% supply saturated and oversaturated of forecasted results.</subfield></datafield></record></collection>
author	Mi, Lan
spellingShingle	Mi, Lan misc emerging technologies misc gerontechnology misc semantic analysis misc Supply and demand matching misc technology forecasting Forecasting and evaluating emerging technologies based on supply and demand matching a case study of China's gerontechnology
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topic_title	26 00 DE-206 While numerous studies have examined the importance of technology innovation in supporting the aging society, few have been specifically conducted on the emerging technologies that forecast for the elderly. Moreover, existing related research lacks consideration of public users' demands, and the forecasting results have not been linked with the actual technology supply in the market, which may easily lead to waste of resources and deviation of R&D focus. Given that, we present a novel method to forecast and evaluate emerging technologies based on technology supply and demand (S&D) matching. In the case study of China's gerontechnology, we first systematically excavate the elderly's demands and match them with the emerging gerontechnologies. Then, we analyse technology supply to filter out S&D oversaturated technologies and screen out S&D undersaturated results by the text semantic mining and similarity matching. Among the results, 27.68% do not have an effective supply yet, 33.04% have saturated or oversaturated. Besides, we use the TRIZ theory to filtrate key emerging areas and find the evolution path, and six significant evolutionary trends are extracted. This paper will help decision makers to accurately target the most promising emerging technologies.Highlights A framework to forecast emerging technology based on supply and demand match.Considering aging population in the technology forecasting and foresight.Monitoring emerging technology trends by using social user's demands analysis.75 emerging technologies and 6 evolution trends of China's gerontechnology.Filter out 33.04% supply saturated and oversaturated of forecasted results Forecasting and evaluating emerging technologies based on supply and demand matching a case study of China's gerontechnology Lan Mi, Lu-cheng Huang, Zhao-xi Han, Hong Miao and Feifei Wu emerging technologies (dpeaa)DE-206 gerontechnology (dpeaa)DE-206 semantic analysis (dpeaa)DE-206 Supply and demand matching (dpeaa)DE-206 technology forecasting (dpeaa)DE-206
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title_full	Forecasting and evaluating emerging technologies based on supply and demand matching a case study of China's gerontechnology Lan Mi, Lu-cheng Huang, Zhao-xi Han, Hong Miao and Feifei Wu
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title_short	Forecasting and evaluating emerging technologies based on supply and demand matching
url	https://www.tandfonline.com/doi/pdf/10.1080/09537325.2021.1895982 https://doi.org/10.1080/09537325.2021.1895982 https://www.tandfonline.com/doi/epub/10.1080/09537325.2021.1895982
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: Taylor & Francis Group, 1989</subfield><subfield code="g">34(2022), 3, Seite 290-306</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)301516219</subfield><subfield code="w">(DE-600)1485021-7</subfield><subfield code="w">(DE-576)263253015</subfield><subfield code="x">1465-3990</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:34</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:3</subfield><subfield code="g">pages:290-306</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.tandfonline.com/doi/pdf/10.1080/09537325.2021.1895982</subfield><subfield code="x">Verlag</subfield><subfield code="z">lizenzpflichtig</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1080/09537325.2021.1895982</subfield><subfield code="x">Resolving-System</subfield><subfield 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tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">34</subfield><subfield code="j">2022</subfield><subfield code="e">3</subfield><subfield code="h">290-306</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">420206352X</subfield><subfield code="y">x1z</subfield><subfield code="z">26-10-22</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">While numerous studies have examined the importance of technology innovation in supporting the aging society, few have been specifically conducted on the emerging technologies that forecast for the elderly. Moreover, existing related research lacks consideration of public users' demands, and the forecasting results have not been linked with the actual technology supply in the market, which may easily lead to waste of resources and deviation of R&D focus. Given that, we present a novel method to forecast and evaluate emerging technologies based on technology supply and demand (S&D) matching. In the case study of China's gerontechnology, we first systematically excavate the elderly's demands and match them with the emerging gerontechnologies. Then, we analyse technology supply to filter out S&D oversaturated technologies and screen out S&D undersaturated results by the text semantic mining and similarity matching. Among the results, 27.68% do not have an effective supply yet, 33.04% have saturated or oversaturated. Besides, we use the TRIZ theory to filtrate key emerging areas and find the evolution path, and six significant evolutionary trends are extracted. This paper will help decision makers to accurately target the most promising emerging technologies.Highlights A framework to forecast emerging technology based on supply and demand match.Considering aging population in the technology forecasting and foresight.Monitoring emerging technology trends by using social user's demands analysis.75 emerging technologies and 6 evolution trends of China's gerontechnology.Filter out 33.04% supply saturated and oversaturated of forecasted results.</subfield></datafield></record></collection>
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Forecasting and evaluating emerging technologies based on supply and demand matching : a case study of China's gerontechnology

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