{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T12:27:15Z","timestamp":1773232035724,"version":"3.50.1"},"reference-count":30,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2020,6,12]],"date-time":"2020-06-12T00:00:00Z","timestamp":1591920000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JKM"],"published-print":{"date-parts":[[2021,3,8]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this paper is to propose a quantitative method for identifying multiple and hierarchical knowledge trajectories within a specific technological domain (TD).<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The proposed method as a patent-based data-driven approach is basically based on patent classification systems and patent citation information. Specifically, the method first analyzes hierarchical structure under a specific TD based on patent co-classification and hierarchical relationships between patent classifications. Then, main paths for each sub-TD and overall-TD are generated by knowledge persistence-based main path approach. The all generated main paths at different level are integrated into the hierarchical main paths.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>This paper conducted an empirical analysis by using Genome sequencing technology. The results show that the proposed method automatically identifies three sub-TDs, which are major functionalities in the TD, and generates the hierarchical main paths. The generated main paths show knowledge flows across different sub-TDs and the changing trends in dominant sub-TD over time.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>To the best of the authors\u2019 knowledge, the proposed method is the first attempt to automatically generate multiple hierarchical main paths using patent data. The generated main paths objectively show not only knowledge trajectories for each sub-TD but also interactive knowledge flows among sub-TDs. Therefore, the method is definitely helpful to reduce manual work for TD decomposition and useful to understand major trajectories for TD.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/jkm-01-2020-0030","type":"journal-article","created":{"date-parts":[[2020,6,12]],"date-time":"2020-06-12T08:21:16Z","timestamp":1591950076000},"page":"454-476","source":"Crossref","is-referenced-by-count":23,"title":["Hierarchical main path analysis to identify decompositional multi-knowledge trajectories"],"prefix":"10.1108","volume":"25","author":[{"given":"Sejun","family":"Yoon","sequence":"first","affiliation":[]},{"given":"Changbae","family":"Mun","sequence":"additional","affiliation":[]},{"given":"Nagarajan","family":"Raghavan","sequence":"additional","affiliation":[]},{"given":"Dongwook","family":"Hwang","sequence":"additional","affiliation":[]},{"given":"Sohee","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Hyunseok","family":"Park","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2020,6,12]]},"reference":[{"key":"key2021043009023922400_ref001","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.techfore.2017.07.018","article-title":"The light and shade of knowledge recombination: insights from a general-purpose technology","volume":"125","year":"2017","journal-title":"Technological Forecasting and Social Change"},{"issue":"1","key":"key2021043009023922400_ref002","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s11192-012-0930-3","article-title":"A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field","volume":"96","year":"2013","journal-title":"Scientometrics"},{"issue":"3","key":"key2021043009023922400_ref003","doi-asserted-by":"crossref","first-page":"1965","DOI":"10.1007\/s11192-014-1493-2","article-title":"Technology structural implications from the extension of a patent search method","volume":"102","year":"2015","journal-title":"Scientometrics"},{"issue":"8","key":"key2021043009023922400_ref004","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1016\/j.techfore.2006.04.004","article-title":"Forecasting emerging technologies: use of bibliometrics and patent analysis","volume":"73","year":"2006","journal-title":"Technological Forecasting and Social Change"},{"issue":"3","key":"key2021043009023922400_ref005","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1108\/JKM-08-2016-0355","article-title":"Does value matter? An examination of the impact of knowledge value on firm performance and the moderating role of knowledge breadth","volume":"22","year":"2018","journal-title":"Journal of Knowledge Management"},{"issue":"1","key":"key2021043009023922400_ref006","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1287\/mnsc.47.1.117.10671","article-title":"Recombinant uncertainty in technological search","volume":"47","year":"2001","journal-title":"Management Science"},{"issue":"4","key":"key2021043009023922400_ref007","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1080\/10438590801969073","article-title":"Mapping technological trajectories as patent citation networks. An application to data communication standards","volume":"18","year":"2009","journal-title":"Economics of Innovation and New Technology"},{"issue":"1","key":"key2021043009023922400_ref008","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ygeno.2015.11.003","article-title":"The sequence of sequencers: the history of sequencing DNA","volume":"107","year":"2016","journal-title":"Genomics"},{"issue":"1","key":"key2021043009023922400_ref009","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/0378-8733(89)90017-8","article-title":"Connectivity in a citation network: the development of DNA theory","volume":"11","year":"1989","journal-title":"Social Networks"},{"issue":"2","key":"key2021043009023922400_ref010","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/64.79705","article-title":"Device representation-the significance of functional knowledge","volume":"6","year":"1991","journal-title":"IEEE Expert"},{"key":"key2021043009023922400_ref011","article-title":"The structure of scientific revolutions","year":"1962"},{"key":"key2021043009023922400_ref012","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.techfore.2015.10.018","article-title":"A novel approach to identify the major research themes and development trajectory: the case of patenting research","volume":"103","year":"2016","journal-title":"Technological Forecasting and Social Change"},{"key":"key2021043009023922400_ref013","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.techfore.2016.07.040","article-title":"Development trajectory and research themes of foresight","volume":"112","year":"2016","journal-title":"Technological Forecasting and Social Change"},{"issue":"3","key":"key2021043009023922400_ref014","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1007\/s00191-014-0349-5","article-title":"Measuring knowledge persistence: a genetic approach to patent citation networks","volume":"24","year":"2014","journal-title":"Journal of Evolutionary Economics"},{"issue":"1","key":"key2021043009023922400_ref015","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1146\/annurev.bioeng.3.1.195","article-title":"New DNA sequencing methods","volume":"3","year":"2001","journal-title":"Annual Review of Biomedical Engineering"},{"issue":"5","key":"key2021043009023922400_ref016","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1016\/j.respol.2006.12.007","article-title":"Mapping evolutionary trajectories: applications to the growth and transformation of medical knowledge","volume":"36","year":"2007","journal-title":"Research Policy"},{"issue":"2","key":"key2021043009023922400_ref017","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1007\/s11192-019-03223-8","article-title":"Structural decomposition of technological domain using patent co-classification and classification hierarchy","volume":"121","year":"2019","journal-title":"Scientometrics"},{"issue":"8","key":"key2021043009023922400_ref018","doi-asserted-by":"crossref","first-page":"e0220819","DOI":"10.1371\/journal.pone.0220819","article-title":"Quantitative identification of technological paradigm changes using knowledge persistence","volume":"14","year":"2019","journal-title":"PloS One"},{"key":"key2021043009023922400_ref020","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.techfore.2014.09.009","article-title":"Knowledge combination modeling: the measurement of knowledge similarity between different technological domains","volume":"94","year":"2015","journal-title":"Technological Forecasting and Social Change"},{"key":"key2021043009023922400_ref021","volume-title":"An Evolutionary Theory of Economic Change","year":"1982"},{"issue":"1","key":"key2021043009023922400_ref022","doi-asserted-by":"crossref","first-page":"e0170895","DOI":"10.1371\/journal.pone.0170895","article-title":"Tracing technological development trajectories: a genetic knowledge persistence-based main path approach","volume":"12","year":"2017","journal-title":"PloS One"},{"key":"key2021043009023922400_ref023","doi-asserted-by":"crossref","first-page":"8135","DOI":"10.1109\/ACCESS.2018.2890372","article-title":"Quantitative identification of technological discontinuities","volume":"7","year":"2019","journal-title":"IEEE Access"},{"issue":"2","key":"key2021043009023922400_ref024","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1016\/j.eswa.2012.08.008","article-title":"Identification of promising patents for technology transfers using TRIZ evolution trends","volume":"40","year":"2013","journal-title":"Expert Systems with Applications"},{"key":"key2021043009023922400_ref025","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.techfore.2014.02.018","article-title":"Determinants of patent citations in biotechnology: an analysis of patent influence across the industrial and organizational boundaries","volume":"91","year":"2015","journal-title":"Technological Forecasting and Social Change"},{"issue":"12","key":"key2021043009023922400_ref026","doi-asserted-by":"crossref","first-page":"5463","DOI":"10.1073\/pnas.74.12.5463","article-title":"DNA sequencing with chain-terminating inhibitors","volume":"74","year":"1977","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"10","key":"key2021043009023922400_ref027","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1016\/j.respol.2011.06.009","article-title":"Recombinant search and breakthrough idea generation: an analysis of high impact papers in the social sciences","volume":"40","year":"2011","journal-title":"Research Policy"},{"issue":"2","key":"key2021043009023922400_ref028","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1287\/mnsc.47.2.205.9837","article-title":"Technological opportunities and new firm creation","volume":"47","year":"2001","journal-title":"Management Science"},{"key":"key2021043009023922400_ref029","unstructured":"ThermoFisher (2019), available at: www.thermofisher.com\/order\/catalog\/product\/4460730, (accessed 25 October 2019)."},{"issue":"01","key":"key2021043009023922400_ref030","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1142\/S0219525907000945","article-title":"Mapping technological trajectories as patent citation networks: a study on the history of fuel cell research","volume":"10","year":"2007","journal-title":"Advances in Complex Systems"},{"issue":"2","key":"key2021043009023922400_ref031","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1162\/003355398555595","article-title":"Recombinant growth","volume":"113","year":"1998","journal-title":"The Quarterly Journal of Economics"}],"container-title":["Journal of Knowledge Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/JKM-01-2020-0030\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/JKM-01-2020-0030\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T22:25:20Z","timestamp":1753395920000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/jkm\/article\/25\/2\/454-476\/432221"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,12]]},"references-count":30,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2020,6,12]]},"published-print":{"date-parts":[[2021,3,8]]}},"alternative-id":["10.1108\/JKM-01-2020-0030"],"URL":"https:\/\/doi.org\/10.1108\/jkm-01-2020-0030","relation":{},"ISSN":["1367-3270","1367-3270"],"issn-type":[{"value":"1367-3270","type":"print"},{"value":"1367-3270","type":"print"}],"subject":[],"published":{"date-parts":[[2020,6,12]]}}}