本研究主要以探討如何建構圖書館之數位柔韌性(Digital Resilience)為研究目標,以全球典範型圖書館為例,探討圖書館此類資訊服務機構如何在數位轉型過程中,強化知識創造、交流、擴散之影響力,將數位服務創新驅動力成功地轉化為組織的數位柔韌性來源。本研究主張組織進行數位轉型之際,應著重組織數位柔韌性之建構,其中包括數位柔韌性建構之組織歷程/階段、驅動力(driving forces)、影響因子、組織內部因素、外在環境條件(criterion)等進行觀察與深入探討。
本研究擬以全球典範型圖書館為個案,深入探討圖書館數位柔韌性(Digital Resilience)之評估、調整、重建、恢復過程,此亦分析一個圖書資訊服務機構如何透過促進資訊資源網絡互動、知識累積與分享、知識擴散、線下與線上服務機制之整合、館員知能提升與培訓認證之配套輔助,以建立圖書館對使用者資訊行為改變之調適力。
李沛錞、陳鈞婷 (2022) 邁向永續發展:公共圖書館之數位柔韌性初探,圖書資訊學術與實務研討會 Conference of LIS and Practices, CoLISP 2022, 2022/12/9-10,國立台灣師範大學,台北市。
本研究將Community Resilience的概念發展於圖書館實務面向上,時值全球廣為重視落實永續發展目標(Sustainable Development Goals)之際,如何從圖書館服務出發以達永續發展之目標,成為圖書館邁向未來必須面對的一門課題。尤其當氣候變遷、新冠疫情、地緣政治衝突為全球最大風險之際,衝擊回復力已然成為一個社會、一個系統或一個組織在各種突發危機中是否能永續發展的最關鍵能力。在面對災害衝擊與逐步調整以實踐永續發展目標的過程中,圖書館扮演了重要角色。圖書館可善用其系統性能耐,例如機構、網絡與互動能耐(institution, network and interaction capability)以提供普及化的公共圖書館與研究圖書館基礎設施,並透過培育圖書館專業人員與完善各地資通訊技術,提供創新開放與包容的公共空間以強化社區居民之互動效益,據此達到永續發展目標。圖書館亦可善用其多樣化與適應能耐(diversity and adaptation capability),提供多元且符合永續發展需求之資訊服務,以致力於達成協助社區居民良好適應環境動態、促進文化包容與相互理解之目標。從這兩個永續發展目標來看,圖書館協助社區提升衝擊回復力乃是達到永續發展目標的重要途徑。
Pei-Chun Lee (2023) From Community Engagement to Community Resilience: The Evolving Role of Public Libraries, Public Library Quarterly (SSCI, 2022 IF=1.9, Q1 Library and Information Science, Single Author, Online: https://doi.org/10.1080/01616846.2023.2251860)
本研究運用文獻分析輔以個案方法,透過美國、英國、中國、印度之國家衛生系統與區域經濟系統個案分析,提出具系統性的衝擊回復力建構歷程與發展特徵,以期提供衝擊回復力理論與實務之初探與理解。本研究將預測、應對、重新調整三個階段作為個案分析之研究架構,闡述在這三個衝擊回復階段中,四個個案國家如何強化其系統性衝擊回復力。
本研究發現,衝擊回復力仰賴五項系統性能耐:機構能耐、網絡能耐、互動能耐、適應能耐、多樣化能耐。據此,圖書館可善用其機構、網絡與互動能耐,提供創新開放與包容的公共空間以強化社區居民之互動效益。圖書館亦可善用多樣化與適應能耐,以致力於達成協助社區居民良好適應環境動態、促進文化包容與相互理解,以期達到永續發展目標。
李沛錞 (2022) 系統性衝擊回復力探討:以全球新冠肺炎疫情為例,圖書資訊學研究, Volume 17 (1) (TSSCI, 單一作者) DOI:10.30177/JLISR.202212_17(1).0004
衝擊回復力(Resilience)是強調一個系統有能力去抵禦經濟與環境中的各衝擊與干擾。以回復力角度出發,從國家與產業層級探討科技衝擊回復力,並以專利巨量資訊作為指標發展基礎,以期提供國家層級研發資源配置與政策規劃等建議。
Pei-Chun Lee, Ssu-Hua Chen, Yi-Siang Lin, Hsin-Ning Su (2018) Toward a Better Understanding on Technological Resilience for Sustaining Industrial Development, IEEE Transactions on Engineering Management, 99(1),1-14. (SSCI, 2020 impact factor= 2.922, First Author) DOI: 10.1109/TEM.2018.2837221
Pei-Chun Lee, Ssu-Hua Chen, Hsin-Ning Su (2018) Exploring Technological Resilience at the Country Level with Patents, Technology Analysis & Strategic Management, 30(9), 1105-1120, (SSCI, 2020 impact factor= 2.874, First Author) DOI:10.1080/09537325.2018.1442572
Innovation taking place in libraries has been discussed through an organizational and librarian development lens. However, analysis based on a technology innovation perspective is still lacking. This paper fills a research gap concerning the technology innovation perspective in the library transformation literature by providing an overview of technology-push and demand-pull perspectives. It is suggested that the transition towards a library that meets the needs of the future requires integrated efforts that evolve with users’ information-seeking behavior over time and are designed to increase collaboration between the libraries and users.
Pei-Chun Lee (2020) Technological Innovation in Libraries. Library Hi Tech, Vol. 39 No. 2, 2021, pp. 574-601 (SSCI, 2020 impact factor=2.357, SJR=50/149, Library and Information Sciences Q1, Single Author) https://doi.org/10.1108/LHT-07-2020-0163
To see archival science as an evolving system requires identifying in it the three basic systems components, that is, archives, technology, and innovation. The systemic view of archival science allows us to confront what has been defined by the archival profession as a paradigm shift. Rapid technological change that drives constant system upgrades, transforms and the retirement of legacy method, technologies and strategies. Since the focus of archives has been shifted from storage to access. This shift changes fundamentally the views of archival science and of the difference between past and future. The objective of this study was to identify technological innovations in archival science and further examine the knowledge source of the archival innovations and their effects during the archival technology life cycle. Therefore, this paper discusses the technological innovation taking place in archival science.
Library intelligence refers to "a set of methodologies, processes, architectures, and technologies that transform knowledge derived from library into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making. Under this definition, library intelligence encompasses knowledge based on library planning, administration, and management as well as information management (data integration, data quality, data warehousing, master-data management, text- and content-analytics, et al.).
本研究立基於數位轉型、服務科學與服務創新之理論基礎,分別針對全球典範型圖書館,描繪出在圖書館面臨數位轉型之際,圖書館數位轉型策略規劃與執行歷程,以解析全球圖書館在數位轉型發展歷程,以期達到圖書館持續推動服務創新、永續發展之目標, 並且深入解析上述全球典範型圖書館之組織數位轉型策略模式,及其如何達到服務創新與永續發展目標。
基於知識基礎觀點探討科技發展之知識領域屬性 (Knowledge Attributes)、知識來源(Knowledge Sourcing)與知識影響力(Knowledge Impact)。 本研究進一步運用專利大數據分析,將領域知識屬性分別以知識複雜度(Knowledge Complexity)、專門度(Knowledge Specificity)、技術相似度(Knowledge Similarity)三個構面定義及衡量之。
Igam M. Moaniba, Pei-Chun Lee, Hsin-Ning Su (2020) How does External Knowledge Sourcing Enhance Product Development? Evidence from Drug Commercialization, Technology in Society, Volume 63, November 2020, 101414 (SSCI, 2020 impact factor= 4.192)
科技發展被廣泛認為是一國經濟發展之重要支柱,尤其產業技術知識屬性成為重要觀察指標。因此,從巨觀經濟發展角度,透過擷取專利資訊中的原創性、普及性、多樣化指標及資訊,從國家與產業層級探討技術原創性、普及性、多樣化與一國經濟發展、科技競爭力之間的關係。
Pei-Chun Lee (2021) Investigating Long-Term Technological Competitiveness: Originality, Generality, and Longevity, IEEE Transactions on Engineering Management, (SSCI, 2020 impact factor= 2.922,103/440 Strategy and Management Q1 , Single Author) Online ISSN: 1558-0040, DOI: 10.1109/TEM.2021.3058178
Pei-Chun Lee (2019) Investigating Originality and Generality of Technological Competitiveness Based on Corporate R&D, 2019 Atlanta Conference on Science and Innovation Policy, Oct. 14-16, Atlanta, USA.
Igam M. Moaniba, Hsin-Ning Su, Pei-Chun Lee (2018) Does Reverse Causality Explain the Relationship Between Economic Performance and Technological Diversity? Technological and Economic Development of Economy, 24(3), 859-892. (SSCI, 2016 impact factor= 2.628)
Igam M. Moaniba, Hsin-Ning Su, Pei-Chun Lee (2019), On the Drivers of Innovation: Does the Co-evolution of Technological Diversification and International Collaboration Matter? Technological Forecasting and Social Change (SSCI, 2018 impact factor=3.815)
隨著全球技術標準制訂與專利巨量資訊分析需求之興起,作為公開發明的補償而對技術授予排他權之專利,與讓技術儘可能廣泛地普及之產業標準,雖然都對促進創新有所貢獻,然而「旨於獨佔權的專利」與「旨於開放的標準」兩者間的確存在衝突 與許多待解議題。 針對全球產業技術標準,分析標準專利之知識外溢發展模式,深入了解產業技術標準的制定如何透過知識外溢過程,為產業發展帶來之知識經濟效益。
Pei-Chun Lee (2022) Investigating Patent Value and Litigation Probability of Global Technology Standards, IEEE Transactions on Engineering Management, Online ISSN: 1558-0040, DOI: 10.1109/TEM.2022.3208453 (SSCI, 2021 impact factor= 8.702,國科會管理一學門推薦期刊, Q1 33/226 Management, Single Author)
Pei-Chun Lee (2019) Investigating the Knowledge Spillover and Externality of Technology Standards Based on Patent Data, IEEE Transactions on Engineering Management, (SSCI, 2018 impact factor= 1.416, 科技部管理一學門推薦學術期刊,本人為單一作者)
一個國家的經濟成長與數位科技的運用與否有關,隨著產業界線逐漸模糊,技術融合與技術跨領域為創新的重要來源。數位科技的技術融合及跨領域發展,對國家數位競爭力有著舉足輕重的影響。過去研究針對跨領域技術之間的融合,大多探討技術在重合領域中發展的軌跡與型態,且技術融合的相關研究則主要集中於融合的特徵、路徑或狀態,大部份針對單一國家或單一產業進行技術軌跡的分析與描繪,較少針對長時間、跨領域、跨分析層級(國家及技術層次)的技術發展脈絡進行技術融合之探討。本研究藉此補足過去文獻在技術融合、技術跨領域與數位競爭力之相關研究上的缺口,並提供在數位經濟蓬勃發展下的技術融合與跨領域研究方向之建議。
李沛錞、周立婕 (2022) 從技術融合與跨領域探討國家數位競爭力,科技管理學刊 (TSSCI, First & Corresponding Author,國科會管理一學門推薦期刊,Accepted)
運用國際貿易委員會(ITC)於所有調查過專利之專利特徵,透過萃取巨量專利數據之特徵值,用以預測新申請專利因侵權疑慮被國際貿易委員會調查之機率,以期達到早期預警之目的。本人進一步建構專利訴訟預警系統,分析所有美國專利之專利特徵,透過比較非訴訟專利3,878,852 件與訴訟專利31,992件於專利特徵之差異,並結合運用Logistic 迴歸,獲得可用以預測訴訟機率之方程式。
Pei-Chun Lee (2022) Investigating Patent Value and Litigation Probability of Global Technology Standards, IEEE Transactions on Engineering Management, Online ISSN: 1558-0040, DOI: 10.1109/TEM.2022.3208453 (SSCI, 2021 impact factor= 8.702,國科會管理一學門推薦期刊, Q1 33/226 Management, Single Author)
Pei-Chun Lee, Hsin-Ning Su (2014). How to Forecast Cross-Border Patent Infringement? - the Case of U.S. international trade, Technological Forecasting & Social Change. (86) p.125-131 (SSCI, impact factor: 2.106, 本人為第一作者)
Hsin-Ning Su, Carey Ming-Li Chen, Pei-Chun Lee (2012). Patent Litigation Precaution Method- Analyzing Characteristics of US Litigated and Non-litigated Patents from 1976 to 2010, Scientometrics, 92 (1), 181-195. (SSCI, impact factor=1.905, 23/97, 本人為通訊作者)
運用科學文獻資料庫,以分析全球開放式創新之研究結構,藉由網絡理論與關鍵字共現字分析,以描繪出開放式創新之知識結構。透過社會網絡分析與等高線圖所呈現之知識地圖,可選取不同資訊作為主要分析主體,例如作者、研究單位、國家,或關鍵字,用以提出對開放式創新不同層次之了解。運用本研究方法,亦可對開放式創新研究進行定量之分析與管理,例如研發資源投入、研究績效評估、科學地圖建構等。本人進一步透過建構向量空間模型,用以評估基於本體論之知識網絡之形成。透過決定網絡角色間的網絡連結形成機率,運用 Vector-Space Model 來計算網絡連線之建立與否,並運用於後續網絡連結不確定時,可作為判斷是否形成網絡連線之依據。
Igam M. Moaniba, Hsin-Ning Su, Pei-Chun Lee (2018) Knowledge Recombination and Technological Innovation: The Important Role of Cross-Disciplinary Knowledge, Innovation: Organization & Management, published online (SSCI, 2016 impact factor= 0.95)
Hsin-Ning Su, Pei-Chun Lee (2012). Framing the Structure of Global Open Innovation Research, Journal of Informetrics, 6 (2), 202-216. (SSCI, impact= 3.119, 3/77, Corresponding Author)
Pei-Chun Lee, Te-Yi Chan, Hsin-Ning Su (2010) Assessment of Ontology-Based Knowledge Network Formation by Vector-Space Model, Scientometrics, 85 (3), 689-703 (SSCI, impact factor= 2.328, 本人為第一作者)
探討非專利文獻引用之相關指標的應用評估,以提供研究者在使用非專利文獻進行分析前一整體及全面性的理解。首先整理並回顧過去學者對非專利文獻引用之指標探討,並且針對專利引用及非專利引用之行為策略性思維及行為進探討。此外,更進一步針對美國專利資料庫進行非專利文獻引用的統計分析,進行美國專利引用非專利文獻之應用評估,以及提出研究者應注意哪些應用非專利文獻進行分析時可能存在的謬誤。
李沛錞, 陳明俐, 蘇信寧 (2013) 非專利文獻引用之應用評估, 科技管理學刊, 18(3), 1-31. (TSSCI, 科技部管理一學門推薦期刊,本人為第一作者)
Feng-Shang Wu, Chun-Chi Shiu, Pei-Chun Lee, Hsin-Ning Su (2010). A Systematic Approach for Analyzing Science and Technology Trends- The Case of Etching Technology, Technological Forecasting & Social Change, 78(3), 386-407 (SSCI, impact factor= 1.776)
運用科學計量分析工具,進行國家、產業、學研組織、技術之科學文獻與專利計量分析、文獻與專利地圖繪製、文獻與專利技術網絡分析,以科學文獻為資料基礎之科學知識網絡、科學知識地圖等。本人亦運用我國政府研究資訊系統,檢索出我國政府補助科技政策相關主題之所有研究計畫,進行機構、計畫主人與關鍵字分析,進一步繪製出我國科技政策研究之研究地圖。
Pei-Chun Lee, Hsin-Ning Su (2011). Quantitative mapping of scientific research—The case of electrical conducting polymer nanocomposite. Technological Forecasting and Social Change, 78(1), 132-151. (本人為第一作者)
Pei-Chun Lee, Hsin-Ning Su (2010). Investigate the Structure of Regional Innovation System Research. Innovation: Management, Policy & Practice. 12(1), 26-40, 2010 (SSCI, impact factor= 0.379, 本人為第一作者)
李沛錞、蘇信寧(2009)。以專利引證網絡分析探討技術發展之動態演化。科技管理學刊,第14卷,第3期,65-107。(TSSCI, 科技部管理一學門推薦期刊,本人為第一/通訊作者)
運用Vector Space Model計算各研究主體間的距離,繪製成二維地圖。不同的知識或議題地圖可依關鍵字、機構、國家、領域分類進行繪製,有助於巨量資訊分析後之視覺化呈現。
Hsin-Ning Su, Pei-Chun Lee (2010). Mapping Knowledge Structure by Keyword Co-occurrence- A First Look at Journal Papers in Technology Foresight, Scientometric, 85 (1), 65-79 (SSCI, impact factor= 2.328)
Pei-Chun Lee, Hsin-Ning Su, Feng-Shang Wu (2010). Quantitative Mapping of Patented Technology - The Case of Electrical Conducting Polymer Nanocomposite. Technological Forecasting & Social Change, 77 (3), 466-478, 2010 (SSCI, impact factor= 1.776, First Author)