{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T21:52:13Z","timestamp":1770328333136,"version":"3.49.0"},"reference-count":74,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2021,5,16]],"date-time":"2021-05-16T00:00:00Z","timestamp":1621123200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,5,16]],"date-time":"2021-05-16T00:00:00Z","timestamp":1621123200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Scientometrics"],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1007\/s11192-021-04025-7","type":"journal-article","created":{"date-parts":[[2021,5,16]],"date-time":"2021-05-16T08:02:15Z","timestamp":1621152135000},"page":"5727-5758","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Anticipation and analysis of industry convergence using patent-level indicators"],"prefix":"10.1007","volume":"126","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7140-2336","authenticated-orcid":false,"given":"Sajad","family":"Ashouri","sequence":"first","affiliation":[]},{"given":"Anne-Laure","family":"Mention","sequence":"additional","affiliation":[]},{"given":"Kosmas X.","family":"Smyrnios","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,16]]},"reference":[{"issue":"6","key":"4025_CR1","doi-asserted-by":"crossref","first-page":"1074","DOI":"10.1287\/orsc.2018.1216","volume":"29","author":"S Arts","year":"2018","unstructured":"Arts, S., & Fleming, L. (2018). Paradise of novelty\u2014or loss of human capital? Exploring new fields and inventive output. Organization Science, 29(6), 1074\u20131092","journal-title":"Organization Science"},{"issue":"2","key":"4025_CR2","doi-asserted-by":"crossref","first-page":"104144","DOI":"10.1016\/j.respol.2020.104144","volume":"50","author":"S Arts","year":"2021","unstructured":"Arts, S., Hou, J., & Gomez, J. C. (2021). Natural language processing to identify the creation and impact of new technologies in patent text: Code, data, and new measures. Research Policy, 50(2), 104144","journal-title":"Research Policy"},{"issue":"4","key":"4025_CR3","doi-asserted-by":"crossref","first-page":"917","DOI":"10.1093\/icc\/dtaa013","volume":"29","author":"S Arts","year":"2020","unstructured":"Arts, S., & Veugelers, R. (2020). Taste for science, academic boundary spanning, and inventive performance of scientists and engineers in industry. Industrial and Corporate Change, 29(4), 917\u2013933","journal-title":"Industrial and Corporate Change"},{"issue":"2","key":"4025_CR4","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/s11192-009-0008-z","volume":"82","author":"S Bass","year":"2010","unstructured":"Bass, S., & Kurgan, L. (2010). Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology. Scientometrics, 82(2), 217\u2013241","journal-title":"Scientometrics"},{"key":"4025_CR5","doi-asserted-by":"crossref","unstructured":"Br\u00f6ring, S. (2005). The front end of innovation in converging industries: the case of nutraceuticals and functional foods: Duv.","DOI":"10.1007\/978-3-322-82102-7"},{"issue":"1","key":"4025_CR6","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1504\/IJTM.2010.029421","volume":"49","author":"S Broring","year":"2010","unstructured":"Broring, S. (2010). Developing innovation strategies for convergence-Is\u2019 open innovation\u2019imperative? International Journal of Technology Management, 49(1), 272","journal-title":"International Journal of Technology Management"},{"issue":"1","key":"4025_CR7","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1108\/00070700810844803","volume":"110","author":"S Br\u00f6ring","year":"2008","unstructured":"Br\u00f6ring, S., & Cloutier, L. M. (2008). Value-creation in new product development within converging value chains: An analysis in the functional foods and nutraceutical industry. British Food Journal, 110(1), 76\u201397","journal-title":"British Food Journal"},{"issue":"2","key":"4025_CR8","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1111\/j.1467-8691.2007.00425.x","volume":"16","author":"S Br\u00f6ring","year":"2007","unstructured":"Br\u00f6ring, S., & Leker, J. (2007). Industry convergence and its implications for the front end of innovation: A problem of absorptive capacity. Creativity and Innovation Management, 16(2), 165\u2013175","journal-title":"Creativity and Innovation Management"},{"issue":"5","key":"4025_CR9","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1111\/j.1467-9310.2006.00449.x","volume":"36","author":"S Br\u00f6ring","year":"2006","unstructured":"Br\u00f6ring, S., Martin Cloutier, L., & Leker, J. (2006). The front end of innovation in an era of industry convergence: Evidence from nutraceuticals and functional foods. R&D Management, 36(5), 487\u2013498","journal-title":"R&D Management"},{"key":"4025_CR10","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.technovation.2016.04.003","volume":"55","author":"F Caviggioli","year":"2016","unstructured":"Caviggioli, F. (2016). Technology fusion: Identification and analysis of the drivers of technology convergence using patent data. Technovation, 55, 22\u201332","journal-title":"Technovation"},{"key":"4025_CR11","first-page":"2079","volume":"11","author":"GC Cawley","year":"2010","unstructured":"Cawley, G. C., & Talbot, N. L. (2010). On over-fitting in model selection and subsequent selection bias in performance evaluation. The Journal of Machine Learning Research, 11, 2079\u20132107","journal-title":"The Journal of Machine Learning Research"},{"issue":"2","key":"4025_CR12","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/s11192-013-0999-3","volume":"97","author":"Y-S Chen","year":"2013","unstructured":"Chen, Y.-S., Shih, C.-Y., & Chang, C.-H. (2013). Patents and market value in the US pharmaceutical industry: new evidence from panel threshold regression. Scientometrics, 97(2), 161\u2013176","journal-title":"Scientometrics"},{"key":"4025_CR13","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.techfore.2016.12.003","volume":"117","author":"Y Cheng","year":"2017","unstructured":"Cheng, Y., Huang, L., Ramlogan, R., & Li, X. (2017). Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology. Technological Forecasting and Social Change, 117, 170\u2013183","journal-title":"Technological Forecasting and Social Change"},{"key":"4025_CR14","doi-asserted-by":"crossref","unstructured":"Curran, C.-S. (2013). The anticipation of converging industries. A concept applied to nutraceuticals and Functional Foods. DOI= http:\/\/bit.ly\/2nscLnr.","DOI":"10.1007\/978-1-4471-5170-8_2"},{"issue":"3","key":"4025_CR15","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.techfore.2009.10.002","volume":"77","author":"C-S Curran","year":"2010","unstructured":"Curran, C.-S., Br\u00f6ring, S., & Leker, J. (2010). Anticipating converging industries using publicly available data. Technological Forecasting and Social Change, 77(3), 385\u2013395","journal-title":"Technological Forecasting and Social Change"},{"issue":"2","key":"4025_CR16","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.techfore.2010.06.021","volume":"78","author":"C-S Curran","year":"2011","unstructured":"Curran, C.-S., & Leker, J. (2011). Patent indicators for monitoring convergence\u2013examples from NFF and ICT. Technological Forecasting and Social Change, 78(2), 256\u2013273","journal-title":"Technological Forecasting and Social Change"},{"issue":"5","key":"4025_CR17","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1016\/j.respol.2005.03.009","volume":"34","author":"KB Dahlin","year":"2005","unstructured":"Dahlin, K. B., & Behrens, D. M. (2005). When is an invention really radical?: Defining and measuring technological radicalness. Research Policy, 34(5), 717\u2013737","journal-title":"Research Policy"},{"issue":"4","key":"4025_CR18","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1111\/j.0737-6782.2004.00076.x","volume":"21","author":"E Danneels","year":"2004","unstructured":"Danneels, E. (2004). Disruptive technology reconsidered: A critique and research agenda. Journal of Product Innovation Management, 21(4), 246\u2013258","journal-title":"Journal of Product Innovation Management"},{"issue":"4","key":"4025_CR19","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.technovation.2014.01.010","volume":"34","author":"E Enkel","year":"2014","unstructured":"Enkel, E., & Heil, S. (2014). Preparing for distant collaboration: Antecedents to potential absorptive capacity in cross-industry innovation. Technovation, 34(4), 242\u2013260","journal-title":"Technovation"},{"issue":"1","key":"4025_CR20","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1007\/s11192-012-0796-4","volume":"95","author":"P \u00c9rdi","year":"2013","unstructured":"\u00c9rdi, P., Makovi, K., Somogyv\u00e1ri, Z., Strandburg, K., Tobochnik, J., Volf, P., et al. (2013). Prediction of emerging technologies based on analysis of the US patent citation network. Scientometrics, 95(1), 225\u2013242","journal-title":"Scientometrics"},{"issue":"1","key":"4025_CR21","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1287\/mnsc.47.1.117.10671","volume":"47","author":"L Fleming","year":"2001","unstructured":"Fleming, L. (2001). Recombinant uncertainty in technological search. Management Science, 47(1), 117\u2013132","journal-title":"Management Science"},{"issue":"1","key":"4025_CR22","first-page":"69","volume":"49","author":"L Fleming","year":"2007","unstructured":"Fleming, L. (2007). Breakthroughs and the\" long tail\" of innovation. MIT Sloan Management Review, 49(1), 69","journal-title":"MIT Sloan Management Review"},{"issue":"1","key":"4025_CR23","doi-asserted-by":"crossref","first-page":"193","DOI":"10.5465\/amj.2012.0585","volume":"57","author":"RJ Funk","year":"2014","unstructured":"Funk, R. J. (2014). Making the most of where you are: Geography, networks, and innovation in organizations. Academy of Management Journal, 57(1), 193\u2013222","journal-title":"Academy of Management Journal"},{"issue":"3","key":"4025_CR24","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1287\/mnsc.2015.2366","volume":"63","author":"RJ Funk","year":"2016","unstructured":"Funk, R. J., & Owen-Smith, J. (2016). A dynamic network measure of technological change. Management Science, 63(3), 791\u2013817","journal-title":"Management Science"},{"key":"4025_CR25","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.techfore.2014.02.022","volume":"91","author":"S Gauch","year":"2015","unstructured":"Gauch, S., & Blind, K. (2015). Technological convergence and the absorptive capacity of standardisation. Technological Forecasting and Social Change, 91, 236\u2013249","journal-title":"Technological Forecasting and Social Change"},{"key":"4025_CR26","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.techfore.2016.03.020","volume":"107","author":"Y Geum","year":"2016","unstructured":"Geum, Y., Kim, M.-S., & Lee, S. (2016). How industrial convergence happens: A taxonomical approach based on empirical evidences. Technological Forecasting and Social Change, 107, 112\u2013120","journal-title":"Technological Forecasting and Social Change"},{"issue":"7","key":"4025_CR27","doi-asserted-by":"crossref","first-page":"1460","DOI":"10.1016\/j.respol.2016.05.002","volume":"45","author":"JC Guan","year":"2016","unstructured":"Guan, J. C., & Yan, Y. (2016). Technological proximity and recombinative innovation in the alternative energy field. Research Policy, 45(7), 1460\u20131473","journal-title":"Research Policy"},{"key":"4025_CR28","unstructured":"Hacklin, F. (2007). Management of convergence in innovation: strategies and capabilities for value creation beyond blurring industry boundaries: Springer Science & Business Media."},{"issue":"1","key":"4025_CR29","first-page":"65","volume":"55","author":"F Hacklin","year":"2013","unstructured":"Hacklin, F., Battistini, B., & Von Krogh, G. (2013). Strategic choices in converging industries. MIT Sloan Management Review, 55(1), 65","journal-title":"MIT Sloan Management Review"},{"issue":"6","key":"4025_CR30","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1016\/j.techfore.2009.03.003","volume":"76","author":"F Hacklin","year":"2009","unstructured":"Hacklin, F., Marxt, C., & Fahrni, F. (2009). Coevolutionary cycles of convergence: An extrapolation from the ICT industry. Technological Forecasting and Social Change, 76(6), 723\u2013736. https:\/\/doi.org\/10.1016\/j.techfore.2009.03.003","journal-title":"Technological Forecasting and Social Change"},{"key":"4025_CR31","doi-asserted-by":"crossref","unstructured":"Hacklin, F., Raurich, V., & Marxt, C. How incremental innovation becomes disruptive: the case of technology convergence. In 2004 IEEE International Engineering Management Conference (IEEE Cat. No. 04CH37574), 2004 (Vol. 1, pp. 32\u201336): IEEE","DOI":"10.1109\/IEMC.2004.1407070"},{"issue":"7","key":"4025_CR32","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1080\/02642069.2013.740471","volume":"33","author":"F Hacklin","year":"2013","unstructured":"Hacklin, F., & Wallin, M. W. (2013). Convergence and interdisciplinarity in innovation management: a review, critique, and future directions. The Service Industries Journal, 33(7), 774\u2013788","journal-title":"The Service Industries Journal"},{"issue":"8","key":"4025_CR33","doi-asserted-by":"crossref","first-page":"1365","DOI":"10.1016\/S0048-7333(02)00137-3","volume":"32","author":"J Hagedoorn","year":"2003","unstructured":"Hagedoorn, J., & Cloodt, M. (2003). Measuring innovative performance: is there an advantage in using multiple indicators? Research Policy, 32(8), 1365\u20131379","journal-title":"Research Policy"},{"key":"4025_CR34","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.strueco.2019.02.004","volume":"51","author":"PS Heo","year":"2019","unstructured":"Heo, P. S., & Lee, D. H. (2019). Evolution patterns and network structural characteristics of industry convergence. Structural Change and Economic Dynamics, 51, 405\u2013426","journal-title":"Structural Change and Economic Dynamics"},{"issue":"3","key":"4025_CR35","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1111\/1467-8551.12175","volume":"28","author":"ST Hsu","year":"2017","unstructured":"Hsu, S. T., & Prescott, J. E. (2017). The alliance experience transfer effect: The case of industry convergence in the telecommunications equipment industry. British Journal of Management, 28(3), 425\u2013443","journal-title":"British Journal of Management"},{"key":"4025_CR36","doi-asserted-by":"crossref","unstructured":"Jaffe, A. B., & Trajtenberg, M. (2002). Patents, citations, and innovations: A window on the knowledge economy. MIT press.","DOI":"10.7551\/mitpress\/5263.001.0001"},{"issue":"3","key":"4025_CR37","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1007\/s11192-015-1606-6","volume":"104","author":"S Jeong","year":"2015","unstructured":"Jeong, S., Kim, J.-C., & Choi, J. Y. (2015). Technology convergence: What developmental stage are we in? Scientometrics, 104(3), 841\u2013871","journal-title":"Scientometrics"},{"issue":"2","key":"4025_CR38","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1007\/s11192-009-0108-9","volume":"83","author":"S Joo","year":"2009","unstructured":"Joo, S., & Kim, Y. (2009). Measuring relatedness between technological fields. Scientometrics, 83(2), 435\u2013454","journal-title":"Scientometrics"},{"issue":"5","key":"4025_CR39","doi-asserted-by":"crossref","first-page":"1725","DOI":"10.5465\/amj.2014.0756","volume":"59","author":"HJ Jung","year":"2016","unstructured":"Jung, H. J., & Lee, J. J. (2016). The quest for originality: A new typology of knowledge search and breakthrough inventions. Academy of Management Journal, 59(5), 1725\u20131753","journal-title":"Academy of Management Journal"},{"issue":"6","key":"4025_CR40","doi-asserted-by":"crossref","first-page":"1094","DOI":"10.1016\/j.techfore.2012.05.006","volume":"80","author":"M Karvonen","year":"2013","unstructured":"Karvonen, M., & K\u00e4ssi, T. (2013). Patent citations as a tool for analysing the early stages of convergence. Technological Forecasting and Social Change, 80(6), 1094\u20131107","journal-title":"Technological Forecasting and Social Change"},{"issue":"2","key":"4025_CR41","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1007\/s11192-013-1104-7","volume":"98","author":"E Kim","year":"2014","unstructured":"Kim, E., Cho, Y., & Kim, W. (2014). Dynamic patterns of technological convergence in printed electronics technologies: Patent citation network. Scientometrics, 98(2), 975\u2013998","journal-title":"Scientometrics"},{"issue":"1","key":"4025_CR42","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/s11192-017-2275-4","volume":"111","author":"J Kim","year":"2017","unstructured":"Kim, J., & Lee, S. (2017). Forecasting and identifying multi-technology convergence based on patent data: The case of IT and BT industries in 2020. Scientometrics, 111(1), 47\u201365","journal-title":"Scientometrics"},{"issue":"4","key":"4025_CR43","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1111\/radm.12350","volume":"49","author":"K Kim","year":"2019","unstructured":"Kim, K., Jung, S., & Hwang, J. (2019). Technology convergence capability and firm innovation in the manufacturing sector: An approach based on patent network analysis. R&D Management, 49(4), 595\u2013606","journal-title":"R&D Management"},{"issue":"9","key":"4025_CR44","doi-asserted-by":"publisher","first-page":"1734","DOI":"10.1016\/j.respol.2015.02.001","volume":"44","author":"N Kim","year":"2015","unstructured":"Kim, N., Lee, H., Kim, W., Lee, H., & Suh, J. H. (2015). Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data. Research Policy, 44(9), 1734\u20131748. https:\/\/doi.org\/10.1016\/j.respol.2015.02.001","journal-title":"Research Policy"},{"issue":"5","key":"4025_CR45","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1016\/j.respol.2017.03.007","volume":"46","author":"YK Kim","year":"2017","unstructured":"Kim, Y. K., & Oh, J. B. (2017). Examination workloads, grant decision bias and examination quality of patent office. Research Policy, 46(5), 1005\u20131019","journal-title":"Research Policy"},{"issue":"7","key":"4025_CR46","doi-asserted-by":"crossref","first-page":"1025","DOI":"10.1111\/joms.12399","volume":"55","author":"A Kumaraswamy","year":"2018","unstructured":"Kumaraswamy, A., Garud, R., & Ansari, S. (2018). Perspectives on disruptive innovations. Journal of Management Studies, 55(7), 1025\u20131042","journal-title":"Journal of Management Studies"},{"issue":"1","key":"4025_CR47","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.techfore.2011.06.009","volume":"79","author":"C Lee","year":"2012","unstructured":"Lee, C., Cho, Y., Seol, H., & Park, Y. (2012). A stochastic patent citation analysis approach to assessing future technological impacts. Technological Forecasting and Social Change, 79(1), 16\u201329","journal-title":"Technological Forecasting and Social Change"},{"key":"4025_CR48","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-020-03731-y","author":"C Lee","year":"2021","unstructured":"Lee, C., Hong, S., & Kim, J. (2021). Anticipating multi-technology convergence: a machine learning approach using patent information. Scientometrics. https:\/\/doi.org\/10.1007\/s11192-020-03731-y","journal-title":"Scientometrics"},{"key":"4025_CR49","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.techfore.2015.07.022","volume":"100","author":"WS Lee","year":"2015","unstructured":"Lee, W. S., Han, E. J., & Sohn, S. Y. (2015). Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents. Technological Forecasting and Social Change, 100, 317\u2013329","journal-title":"Technological Forecasting and Social Change"},{"issue":"5","key":"4025_CR50","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.technovation.2012.01.004","volume":"32","author":"C Lin","year":"2012","unstructured":"Lin, C., Wu, Y.-J., Chang, C., Wang, W., & Lee, C.-Y. (2012). The alliance innovation performance of R&D alliances\u2014the absorptive capacity perspective. Technovation, 32(5), 282\u2013292","journal-title":"Technovation"},{"key":"4025_CR51","unstructured":"Long, J. S., & Freese, J. (2006). Regression models for categorical dependent variables using Stata. Stata press."},{"issue":"7","key":"4025_CR52","doi-asserted-by":"crossref","first-page":"1016","DOI":"10.1016\/j.respol.2007.04.003","volume":"36","author":"B Nooteboom","year":"2007","unstructured":"Nooteboom, B., Van Haverbeke, W., Duysters, G., Gilsing, V., & Van den Oord, A. (2007). Optimal cognitive distance and absorptive capacity. Research Policy, 36(7), 1016\u20131034","journal-title":"Research Policy"},{"key":"4025_CR53","doi-asserted-by":"crossref","first-page":"120743","DOI":"10.1016\/j.jclepro.2020.120743","volume":"258","author":"C Park","year":"2020","unstructured":"Park, C., & Heo, W. (2020). Review of the changing electricity industry value chain in the ICT convergence era. Journal of Cleaner Production, 258, 120743","journal-title":"Journal of Cleaner Production"},{"issue":"1\u20132","key":"4025_CR54","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/BF02020142","volume":"7","author":"K Pavitt","year":"1985","unstructured":"Pavitt, K. (1985). Patent statistics as indicators of innovative activities: Possibilities and problems. Scientometrics, 7(1\u20132), 77\u201399","journal-title":"Scientometrics"},{"key":"4025_CR55","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.techfore.2014.02.018","volume":"91","author":"AM Petruzzelli","year":"2015","unstructured":"Petruzzelli, A. M., Rotolo, D., & Albino, V. (2015). Determinants of patent citations in biotechnology: An analysis of patent influence across the industrial and organizational boundaries. Technological Forecasting and Social Change, 91, 208\u2013221","journal-title":"Technological Forecasting and Social Change"},{"issue":"1","key":"4025_CR56","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.respol.2018.08.003","volume":"48","author":"C Righi","year":"2019","unstructured":"Righi, C., & Simcoe, T. (2019). Patent examiner specialization. Research Policy, 48(1), 137\u2013148","journal-title":"Research Policy"},{"key":"4025_CR57","doi-asserted-by":"crossref","first-page":"120095","DOI":"10.1016\/j.techfore.2020.120095","volume":"157","author":"T San Kim","year":"2020","unstructured":"San Kim, T., & Sohn, S. Y. (2020). Machine-learning-based deep semantic analysis approach for forecasting new technology convergence. Technological Forecasting and Social Change, 157, 120095","journal-title":"Technological Forecasting and Social Change"},{"key":"4025_CR58","doi-asserted-by":"crossref","first-page":"102192","DOI":"10.1016\/j.technovation.2020.102192","volume":"100","author":"H Sasaki","year":"2021","unstructured":"Sasaki, H., & Sakata, I. (2021). Identifying potential technological spin-offs using hierarchical information in international patent classification. Technovation, 100, 102192","journal-title":"Technovation"},{"key":"4025_CR59","unstructured":"Schmoch, U. (2008). Concept of a technology classification for country comparisons. Final report to the world intellectual property organisation (wipo), WIPO."},{"issue":"8","key":"4025_CR60","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1016\/j.respol.2010.05.013","volume":"39","author":"W Schoenmakers","year":"2010","unstructured":"Schoenmakers, W., & Duysters, G. (2010). The technological origins of radical inventions. Research Policy, 39(8), 1051\u20131059","journal-title":"Research Policy"},{"key":"4025_CR61","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.technovation.2018.08.001","volume":"84","author":"N Sick","year":"2019","unstructured":"Sick, N., Preschitschek, N., Leker, J., & Br\u00f6ring, S. (2019). A new framework to assess industry convergence in high technology environments. Technovation, 84, 48\u201358","journal-title":"Technovation"},{"key":"4025_CR62","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.techfore.2016.11.001","volume":"116","author":"CH Song","year":"2017","unstructured":"Song, C. H., Elvers, D., & Leker, J. (2017). Anticipation of converging technology areas\u2014A refined approach for the identification of attractive fields of innovation. Technological Forecasting and Social Change, 116, 98\u2013115","journal-title":"Technological Forecasting and Social Change"},{"key":"4025_CR63","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.techfore.2017.11.008","volume":"128","author":"K Song","year":"2018","unstructured":"Song, K., Kim, K., & Lee, S. (2018). Identifying promising technologies using patents: A retrospective feature analysis and a prospective needs analysis on outlier patents. Technological Forecasting and Social Change, 128, 118\u2013132","journal-title":"Technological Forecasting and Social Change"},{"key":"4025_CR64","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.techfore.2015.01.010","volume":"92","author":"MK Srivastava","year":"2015","unstructured":"Srivastava, M. K., Gnyawali, D. R., & Hatfield, D. E. (2015). Behavioral implications of absorptive capacity: The role of technological effort and technological capability in leveraging alliance network technological resources. Technological Forecasting and Social Change, 92, 346\u2013358","journal-title":"Technological Forecasting and Social Change"},{"issue":"8","key":"4025_CR65","doi-asserted-by":"crossref","first-page":"1445","DOI":"10.1016\/j.respol.2015.05.008","volume":"44","author":"D Strumsky","year":"2015","unstructured":"Strumsky, D., & Lobo, J. (2015). Identifying the sources of technological novelty in the process of invention. Research Policy, 44(8), 1445\u20131461","journal-title":"Research Policy"},{"key":"4025_CR66","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.techfore.2017.04.024","volume":"122","author":"H-N Su","year":"2017","unstructured":"Su, H.-N., & Moaniba, I. M. (2017). Investigating the dynamics of interdisciplinary evolution in technology developments. Technological Forecasting and Social Change, 122, 12\u201323","journal-title":"Technological Forecasting and Social Change"},{"issue":"4","key":"4025_CR67","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1287\/mnsc.1110.1309","volume":"57","author":"R Swinney","year":"2011","unstructured":"Swinney, R., Cachon, G. P., & Netessine, S. (2011). Capacity investment timing by start-ups and established firms in new markets. Management Science, 57(4), 763\u2013777","journal-title":"Management Science"},{"key":"4025_CR68","doi-asserted-by":"crossref","unstructured":"Trajtenberg, M. (1990). A penny for your quotes: patent citations and the value of innovations. The Rand Journal of Economics, 172\u2013187.","DOI":"10.2307\/2555502"},{"issue":"3","key":"4025_CR69","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1016\/j.respol.2015.11.010","volume":"45","author":"D Verhoeven","year":"2016","unstructured":"Verhoeven, D., Bakker, J., & Veugelers, R. (2016). Measuring technological novelty with patent-based indicators. Research Policy, 45(3), 707\u2013723","journal-title":"Research Policy"},{"issue":"4","key":"4025_CR70","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1016\/j.techfore.2012.04.005","volume":"80","author":"J Warth","year":"2013","unstructured":"Warth, J., Heiko, A., & Darkow, I.-L. (2013). A dissent-based approach for multi-stakeholder scenario development\u2014the future of electric drive vehicles. Technological Forecasting and Social Change, 80(4), 566\u2013583","journal-title":"Technological Forecasting and Social Change"},{"issue":"5827","key":"4025_CR71","doi-asserted-by":"crossref","first-page":"1036","DOI":"10.1126\/science.1136099","volume":"316","author":"S Wuchty","year":"2007","unstructured":"Wuchty, S., Jones, B. F., & Uzzi, B. (2007). The increasing dominance of teams in production of knowledge. Science, 316(5827), 1036\u20131039","journal-title":"Science"},{"issue":"3","key":"4025_CR72","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1002\/smj.2218","volume":"36","author":"S Yayavaram","year":"2015","unstructured":"Yayavaram, S., & Chen, W. R. (2015). Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity. Strategic Management Journal, 36(3), 377\u2013396","journal-title":"Strategic Management Journal"},{"key":"4025_CR73","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.techfore.2015.04.012","volume":"100","author":"J Yoon","year":"2015","unstructured":"Yoon, J., Park, H., Seo, W., Lee, J.-M., Coh, B.-Y., & Kim, J. (2015). Technology opportunity discovery (TOD) from existing technologies and products: A function-based TOD framework. Technological Forecasting and Social Change, 100, 153\u2013167","journal-title":"Technological Forecasting and Social Change"},{"issue":"1","key":"4025_CR74","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/s11192-017-2252-y","volume":"111","author":"H You","year":"2017","unstructured":"You, H., Li, M., Hipel, K. W., Jiang, J., Ge, B., & Duan, H. (2017). Development trend forecasting for coherent light generator technology based on patent citation network analysis. Scientometrics, 111(1), 297\u2013315","journal-title":"Scientometrics"}],"container-title":["Scientometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-021-04025-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11192-021-04025-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-021-04025-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T23:06:14Z","timestamp":1725059174000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11192-021-04025-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,16]]},"references-count":74,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2021,7]]}},"alternative-id":["4025"],"URL":"https:\/\/doi.org\/10.1007\/s11192-021-04025-7","relation":{},"ISSN":["0138-9130","1588-2861"],"issn-type":[{"value":"0138-9130","type":"print"},{"value":"1588-2861","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,16]]},"assertion":[{"value":"15 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 May 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}