题名

從技術知識進步鏈辨識技術機會之研究:以telematics為例

并列篇名

Using the Technological Knowledge Progress Chain to Identify Technological Opportunities: Evidence from the Telematics Technology

作者

謝文昌(Wen-Chang Hsieh);陳樹榮(Shu-Jung Chen)

关键词

專利引用 ; 基礎性技術知識 ; 新穎性技術知識 ; 重覆分析 ; 深層知識 ; patent citation ; basic technological knowledge ; novelty technological knowledge ; redundancy analysis ; deep knowledge

期刊名称

資訊管理學報

卷期/出版年月

24卷4期(2017 / 10 / 31)

页次

369 - 408

内容语文

繁體中文

中文摘要

從全球技術發展的視角,針對特定或專業領域的技術資料,以技術網絡分析觀點進行各種由淺入深的知識(shallow to deep knowledge)挖掘,不僅是組織因應外部環境動態變化、洞察機先與掌握策略性知識重要的來源,也是經營決策者改善創新績效與降低投資風險,終日不可迴避的管理議題。是以,本文依研究目的與專利檢索策略,從USPTO專利資料庫搜尋與關鍵字相關的所有專利形成分析資料集,並以文件中「引用參考(reference cited)」欄位的列舉資料進行相關專利的連結,進而構成一個專利引用網絡(patent citation network)。其後,也以此網絡為分析基礎,提出一個專利組合層級且具理論基礎的技術知識進步鏈分析(technological knowledge progress chain analysis; TKPCA)架構或模型;其分析結果,不僅可藉此辨識具潛在性的關鍵技術功能或技術組合的發展機會,其分析模型也可增補於先前研究的不足。另外,本研究也選擇「telematics」領域的專利,作為TKPCA模型檢驗的分析標的,同時,基於分析需求,TKPCA的架構,也包含了基礎性技術群聚分析(BTKCA)、新穎性技術群聚分析(NTKCA)與鏈接群聚知識重覆分析(LCKRA)三個子模組。最後,從telematics專利資料的三階段分析過程中,也分別發現了很多有用且有價值的技術發展情報與知識。本研究認為,這些發現對於telematics領域未來整體發展的創新促進與企業研發活動的投入和佈局,將會產生很重要的影響。

英文摘要

Purpose-The purpose of this study is to propose a dense network framework of technological knowledge progress chain analysis (TKPCA) on the basis of patent citation and to mine a variety of shallow-to-deep knowledge as an identification of developing potential technology opportunities. Design/methodology/approach-The "telematics" is the target for technological analysis in this study. Meanwhile, it is also used as the keyword to undertake patent retrieval from USPTO. Afterwards, an affiliated network (PCAN) will be set up as the analytic information database for TKPCA, including 3 sub-modules, BTKCA (basic technological knowledge clusters analysis), NTKCA (novelty technological knowledge clusters analysis), and LCKRA (linking clusters knowledge redundancy analysis). Findings-(1)From the findings of BTKCA, it appears that the basic technology of telematics consists of nine patent clusters; there are 4 main directions of technology development among network categories formed by these clusters. (2)From the findings of NTKCA, it appears the novelty technology of telematics consists of seven patent clusters in total. Among them, three clusters are involved and developed the most positively and intensively by manufactures whilst the rest 4 technology clusters are developing individually. (3)From the findings of LCKRA, the electronic image display technology has the most significant impact on novelty technology development as well as the innovative focus from the manufacturers' R&D. Furthermore, the values could be provided for R&D engineers to grasp the whole picture of telematics and to use as significant reference while assessing the potential opportunities and development. Research limitations/implications-The specialization growing technology is the main research subject regarding TKPCA in this study rather than emerging technology. Therefore, TKPCA does not consider the possible impact from non-patent literature citation, which could be improved in the future research. Moreover, the findings stated in this article mainly are searched with "telematics" keyword, so the outcome may differ accordingly once the keyword range changes. Practical implications - (1)The findings from BTKCA for business-level decision-maker are not only the imperative references to scheme an integrated function for a new product, but a very important technological information to predict whether it could become a welcome merchandise or not. (2)The findings from NTKCA for functional-level R&D manager present not only the imperative reference information to assess the timing of R&D projects, but a very important assessment information to identify the potential opportunities for technology R&D. (3) The findings from LCKRA for the operational-level engineers include not only the imperative evaluation information for R&D development method and direction, but an indispensable knowledge and insight into the development on key technologies. Originality/value-(1) TKPCA is a new concept and approach to extract a variety of technology knowledge simultaneously by the way from shallow to deep and multilayer; it is also an analysis framework, which can integrate common knowledge discussed rarely in traditional research. (2)The outcome of TKPCA cannot only speed up the evolution of overall technical specialization but also enhance the organization's short-term innovation performance, which is difficult to obtain through knowledge discovery in databases.

主题分类 基礎與應用科學 > 資訊科學
社會科學 > 管理學
参考文献
  1. 林忠亮、王明妤(2013)。基於科學與技術缺口發掘技術機會:以生質丁醇為例。科技管理學刊,18(4),29-59。
    連結:
  2. 翁順裕、賴奎魁(2009)。從社會網絡分析觀點探討技術的趨同性-以保險商業方法專利為例。管理學報,26(5),485-506。
    連結:
  3. 張書豪、樊晉源(2014)。車載資通訊技術佈局專利策略研究。管理資訊計算,3(1),87-98。
    連結:
  4. 陳樹榮、張秉鈞、賴奎魁、劉佩雯(2014)。專利轉讓最適廠商與評估指標關聯性之研究:以Kodak 數位影像為例。中華民國資訊管理學報,21(4),417-446。
    連結:
  5. 陳樹榮、賴奎魁(2012)。以自我技術網絡觀點辨識商品化最佳合作夥伴。管理與系統,19(4),589-623。
    連結:
  6. 賴奎魁、林美蘭、張淑敏、張善斌(2006)。專利分析相關文獻之分類研究:採用書目計量學方法。科技管理學刊,11(1),137-168。
    連結:
  7. Arts, Sam and Veugelers, Reinhilde, 'The Technological Origins and Novelty of Breakthrough Inventions', SSRN Electronic Journal, available at SSRN: https://ssrn.com/abstract=2230366.
  8. Abrams, D.,Akcigit, U.,Popadak, J.(2015).University of Pennsylvania Law School PIER Working PaperUniversity of Pennsylvania Law School PIER Working Paper,未出版
  9. Adner, R.,Levinthal, D.(2002).The emergence of emerging technologies.California Management Review,45,50-66.
  10. Agrawal, R.,Srikant, R.(1995).Mining sequential patterns.Proceedings of the 1995 international conference on data engineering (ICDE'95),Taipei, Taiwan:
  11. Ahuja, G.,Lampert, C.M.(2001).Entrepreneurship in the large corporation: a longitudinal study of how established firms create breakthrough inventions.Strategic Management Journal,22,521-543.
  12. Alcacer, J.,Gittelman, M.(2006).Patent citations as a measure of knowledge flows: the influence of examiner citations.The Review of Economics and Statistics,88(4),774-779.
  13. Alvarenga Neto, R.C.D.,Choo, C.W.(2010).The post Nonaka concept of ba: Eclectic roots, evolutionary paths and future advancements.Proceedings of the American Society of Information Science and Technology Annual Meeting,Pittsburgh, PA, USA:
  14. Arthur, W.B.(2009).The Nature of Technology: What it is and How it Evolves.Free Press: Simon & Schuster, US..
  15. Arts, S.,Veugelers, R.(2014).Technology familiarity, recombinant novelty, and breakthrough innovation.Industrial and Corporate Change,26(6),1215-1246.
  16. Basalla, G.(1988).The Evolution of Technology.Cambridge, UK:Cambridge University Press.
  17. Becker, W.,Peters, J.(2000).Technological opportunities, absorptive capacities and innovation.Proceedings of the Eighth International Joseph A. Schumpeter Society Conference,Manchester, United Kingdom:
  18. Burt, R.S.(1992).Structure Holes: The Social Structure of Competition.MA:Harvard Business School Press.
  19. Cantwell, J.A.,Vertova, G.(2004).Historical evolution of technological diversification.Research Policy,33(3),511-529.
  20. Chen, S.J.,Su, F.P.,Lai, K.K.,Yang, M.T.,Chang, P.C.(2013).The patent information, strategic patent deployment thinking, and technology strategies of small and medium-sized enterprises.Proceedings of the Portland International Center for Management of Engineering and Technology (PICMET 2013),California, USA:
  21. Choe, H.,Lee, D.H.,Seo, I.W.,Kim, H.D.(2013).Patent citation network analysis for the domain of organic photovoltaic cells: Country, institution, and technology field.Renewable and Sustainable Energy Reviews,26,492-505.
  22. Choi, C.,Park, Y.(2009).Monitoring the organic structure of technology based on the patent development paths.Technological Forecasting & Social Change,76(6),754-768.
  23. Coleman, J.(1988).Social capital in the creation of human capital.American Journal of Sociology,94(1),95-121.
  24. Conti, R.,Gambardella, A.,Mariani, M.(2013).Learning to be Edison: inventors, organizations, and breakthrough inventions.Organization Science,25(3),833-849.
  25. Ernst, H.(2003).Patent information for strategic technology management.World Patent Information,25(3),233-242.
  26. Fleming, L.(2001).Recombinant uncertainty in technology search.Management Science,47(1),117-132.
  27. Fontana, R.,Nuvolari, A.,Verspagen, B.(2009).Mapping technological trajectories as patent citation networks. An application to data communication standards.Economics of Innovation and New Technology,18(4),311-336.
  28. Geroski, P.A.(1990).Innovation, technological opportunity and market structure.Oxford Economic Papers,42,586-602.
  29. Glover, F.,Laguna. M.(1993).Tabu Search.Modern Heuristic Techniques for Combinatorial Optimization,Oxford, England:
  30. Gourlay, S.N.(2003).The SECI model of knowledge creation: some empirical shortcomings.Proceeding of the Fourth European Conference on Knowledge Management,Oxford:
  31. Hargadon, A.(2003).How Breakthroughs Happen: The Surprising Truth About How Companies Innovate.Boston, MA:Harvard Business School Press.
  32. Harhoff, D.,Narin, F.,Scherer, F.,Vopel, K.(1999).Citation Frequency and the Value of Patented Inventions.Review of Economics and Statistics,81(3),511-515.
  33. Hegde, D.,Sampat, B.(2009).Examiner citations, applicant citations, and the private value of patents.Economic Letters,105(3),287-289.
  34. Jaffe, A.B.(1986).Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits and Market Value.American Economic Review,76(5),984-1001.
  35. Jaffe, A.B.,de Rassenfosse, Gaetan(2016).NBER Working PaperNBER Working Paper,未出版
  36. Kaplan, S.,Vakili, K.(2014).The double-edged sword of recombination in breakthrough innovation.Strategic Management Journal,36(10),1435-1457.
  37. Katila, R.,Mang, P.Y.(2003).Exploiting technological opportunities: The timing of collaborations.Research Policy,32(2),317-332.
  38. Klevorick, A.,Levin, R.,Nelson, R.R.,Winter, S.G.(1995).On the sources and significance of inter-industry differences in technological opportunities.Research Policy,24(2),185-205.
  39. Knudsen, M.(2005).Redundancy and Knowledge Sharing: Suggesting and Testing a New Empirical Construct.Proceedings of the EMNet Conference: Economics and Management of Networks,Budapest, Hungary:
  40. Knudsen, M.P.(2007).The relative importance of interfirm relationships and knowledge transfer for new product development success.Product Innovation Management,24,117-138.
  41. Kriegel, H.P.,Borgwardt, K.M.,Kröger, P.,Pryakhin, A.,Schubert, M.,Zimek, A.(2007).Future trends in data mining.Data Mining and Knowledge Discovery,15(1),87-97.
  42. Lai, K.K.,Wu, S.J.(2005).Using the patent co-citation approach to establish a new patent classification system.Information Processing and Management,41(2),313-330.
  43. Lakatos, I.(1970).Falsification and the Methodology of Scientific Research Programmes.Criticism and the growth of knowledge,London:
  44. Lampe, R.(2012).Strategic citation.Review of Economics and Statistics,94(1),320-333.
  45. Lee, C.C.,Yang, J.(2000).Knowledge-value chain.Journal of Management Development,19,783-793.
  46. Levinthal, D.(1998).The slow pace of rapid technological change: gradualism and punctuation in technological change.Industrial and Corporate Change,7(2),217-247.
  47. Li, X.,Chen, H.,Huang, Z.,Roco, M.C.(2007).Patent citation network in nanotechnology (1976-2004).Journal of Nanoparticle Research,9(3),337-352.
  48. Lim, C.,Lee, K.(2001).Technological regimes, catching-up and leapfrogging: Findings from the Korean industries.Research Policy,30(3),459-483.
  49. Merrill, M.D.,Tennyson, R.D.(1977).Concept Teaching: An Instructional Design Guide.Englewood Cliffs, NJ:Educational Technology.
  50. Mina, A.,Ramlogan, R.,Tampubolon, G.,Metcalfe, J.S.(2007).Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge.Research policy,36(5),789-806.
  51. Najafabadi, M.M.,Villanustre, F.,Khoshgoftaar, T.M.,Seliya, N.,Wald, R.,Muharemagic, E.(2015).Deep learning applications and challenges in big data analytics.Journal of Big Data,2(1),1-21.
  52. Najmaei, A.,Sadeghinejad, Z.(2009).Competitive strategic alliances through knowledge value chain.International Review of Business Research Papers,5(3),297-310.
  53. Narin, F.(1995).Patents as indicator for the evaluation of industrial research output.Scientometrics,34(4),489-496.
  54. Narin, F.,Noma, E.,Perry, R.(1987).Patents as indicators of corporate technological strength.Research Policy,16,143-155.
  55. Nelson, R.,Winter, S.(1982).An Evolutionary Theory of Economic Change.Cambridge, MA:Belknap Press.
  56. Nieto, M.,Quevedo, P.(2005).Absorptive capacity, technological opportunity, knowledge spillovers, and innovative effort.Technovation,25(10),1141-1157.
  57. Nonaka, I.(1990).Redundant, overlapping organization: A Japanese approach to managing the innovation process.California Management Review,32(3),27-38.
  58. Nonaka, I.,Konno, N.(1998).The concept of 'Ba': Building foundation for Knowledge Creation.California Management Review,40(3),40-54.
  59. Nonaka, I.,Takeuchi, H.(1995).The knowledge-creating company.NY:Oxford University Press.
  60. Nonaka, I.,Toyama, R.(2003).The knowledge-creating theory revisited: knowledge creation as a synthesizing process.Knowledge Management Research & Practice,1(1),2-10.
  61. Nonaka, I.,Toyama, R.,Konno, N.(2000).SECI, Ba, and leadership: A unified model of dynamic knowledge creation.Long Range Planning,33,5-34.
  62. Oltra, M.J.,Flor, M.(2003).The impact of technological opportunities and innovative capabilities on firms' output innovation.Creativity and Innovation Management,12,137-144.
  63. Park, G.,Park, Y.(2006).On the measurement of patent stock as knowledge indicators.Technological Forecasting & Social Change,73(7),793-812.
  64. Podolny, J.M.,Stuart, T.E.(1995).A role-based ecology of technological change.American Journal of Sociology,100(5),1224-1260.
  65. Porter, A.L.,Detampel, M.J.(1995).Technology opportunities analysis.Technology Forecasting and Social Change,49,237-255.
  66. Porter, M.(Ed.)(1986).Competition in Global Industries.MA:Harvard Business School Press.
  67. Roach, M.,Cohen, W.(2013).Lens or Prism? An Assessment of Patent Citations as a Measure of Knowledge Flows from Public Research.Management Science,59(2),504-525.
  68. Schmalensee, R.(Ed.),Willig, R.D.(Ed.)(1989).Handbook of industrial organization.Amsterdam:Elsevier Science.
  69. Shimizu, H.(1995).Ba-Principle: New Logic for the Real-time Emergence of Information.Holonics,5(1),67-69.
  70. Singh, J.,Fleming, L.(2010).Lone inventors as sources of breakthroughs: myth or reality?.Management Science,56(1),41-56.
  71. Sorenson, O.,Rivkin, J.W.,Fleming, L.(2006).Complexity, networks and knowledge flow.Research Policy,35(7),994-1017.
  72. Spinello, R.A.(1998).The knowledge chain.Business Horizons,41(6),4-14.
  73. Sterlacchini, A.(1994).Technological opportunities, intra-industry spillovers and firm R&D intensity.Economic Innovation and New Technology,3,123-137.
  74. Stuart, T.E.(1998).Network position and propensities to collaborate: an investigation of strategic alliance formation in a high-technology industry.Administrative Science Quarterly,43(3),668-698.
  75. Stuart, T.E.,Podolny, J.M.(1996).Local search and the evolution of technological capabilities.Strategic Management Journal,17(S1),21-38.
  76. Teece, J.D.(1986).Profiting from Technological Innovation: Implications for Integration, Collaboration, Licensing, and Public Policy.Research Policy,15,285-305.
  77. Trajtenberg, M.(1990).A penny for your quotes: patent citations and the value of innovations.RAND Journal of Economics,21(1),172-187.
  78. Trajtenberg, M.,Henderson, R.,Jaffe, A.(1997).University versus corporate patents: a window on the basicness of invention.Economics of Innovation and New Technology,5(1),19-50.
  79. Verspagen, B.(2007).Mapping technological trajectories as patent citation networks: A study on the history of fuel cell research.Advances in Complex Systems,10(1),93-115.
  80. Weitzman, M.L.(1998).Recombinant growth.Quarterly journal of Economics,113(2),331-360.
  81. Yoon, B.,Park, Y.(2004).A text-mining-based patent network: analytical tool for high-technology trend.Journal of High Technology Management Research,15,37-50.
  82. Zhuge, H.(2002).A Knowledge Flow Model for Peer-to-Peer Team Knowledge Sharing and Management.Expert Systems with Applications,23(1),23-30.
  83. 陳樹榮(2011)。博士論文(博士論文)。雲林,國立雲林科技大學企業管理系。
  84. 廖學隆、楊家豪、黃隆洲(2013)。車輛電子產業的現況與未來發展。機械月刊,39(3),64-78。