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    Title: 圖書資訊學創新採納與擴散研究
    Innovative Adoption and Diffusion Studies of Library and Information Science
    Authors: 劉志偉
    Liu, Zhi-Wei
    Contributors: 蔡明月
    Tsay, Ming-Yueh
    劉志偉
    Liu, Zhi-Wei
    Keywords: 圖書資訊學
    創新採納
    創新擴散
    羅傑斯
    Library and information science
    Adoption of innovation
    Diffusion of innovation
    Rogers
    Date: 2024
    Issue Date: 2024-03-01 12:54:14 (UTC+8)
    Abstract: 本研究旨在引入傳播學思想,運用Rogers「創新採納與擴散」基本理論和滲透領域研究的思維方式作為研究之理論基礎與框架,以圖書資訊學1945-2022年間發表之研究創新成果為研究對象,利用資訊計量、數學統計、圖譜分析、文本探勘、比較分析等方法,兼顧量化與質化研究視角,探討和分析圖書資訊學創新成果中存在的創新採納與創新擴散現象,還原學科創新採納與擴散特徵、過程、成效及影響,並總結現階段學科發展存在的問題與困境。同時,以透過系統化研究與應用使得上述理論在學術創新研究中得到融合運用,為研究學科發展研究提供新思路和新視角,進一步豐富圖書資訊學發展研究模式與理論體系,推動圖書資訊學研究的深化發展。
    研究發現,近年來「資訊計量」、「資訊社會」等領域的研究持續增長,並揭示了學科文献成长的基本特徵,以及機構、研究者及期刊方面的主要貢獻者。通過分析採納與擴散特徵顯示,「資訊計量」領域在學科和主題擴散上佔優勢,而「資訊系統與檢索」領域在擴散機構和研究者上表現優越。採納與擴散過程分析顯示,不同領域的創新文獻具有不同的採納與擴散效率,擴散時差普遍呈現縮短趨勢。就採納與擴散成效而言,「資訊與知識組織」在學科擴散效益最佳,而「資訊系統與檢索」在機構、主題以及研究者影響力上表現優越。最後,本研究深入分析了採納與擴散的五種影響因素,包括替代程度、一致性程度、易用程度、新穎程度和可見程度。這些發現為進一步瞭解學科創新發展提供了有益的啟示。綜合來看,本研究將有助於了解學科創新過程中的特點和規律,期望為學術界和實踐界提供有價值的參考,推動圖書資訊學的進一步發展。
    This research aims to integrate communication theories, utilizing Rogers' "Innovation Adoption and Diffusion" fundamental theory and the mindset of penetration field research as the theoretical foundation and framework. Focusing on innovative research outcomes in library and information science from 1945 to 2022, the study employs methods such as information metrics, mathematical statistics, network analysis, text mining, and comparative analysis. Combining quantitative and qualitative perspectives, the research explores and analyzes the phenomena of innovation adoption and diffusion in library and information science, uncovering the characteristics, processes, effects, and influencing factors of disciplinary innovation adoption and diffusion. The study also identifies challenges and issues in the current stage of disciplinary development.
    Findings reveal a continuous growth in research, particularly in the "Informetrics" and "Information Society" domains. The study highlights the basic features of disciplinary literature growth and identifies major contributors from institutions, researchers, and journals. Analysis of adoption and diffusion characteristics indicates the dominance of the "Informetrics" domain in disciplinary and thematic diffusion, while the "Information Systems and Retrieval" domain excels in institutional and researcher diffusion. Examination of adoption and diffusion processes shows varying efficiency across different domains, with a general trend of reducing diffusion time lags. In terms of adoption and diffusion effectiveness, the "Information and Knowledge Organization" domain performs optimally in disciplinary diffusion benefits, while the "Information Systems and Retrieval" domain excels in institutional, thematic, and researcher influence. Finally, the study conducts an in-depth analysis of five influencing factors in adoption and diffusion: substitutability, consistency, ease of use, novelty, and visibility. These findings offer valuable insights for understanding the characteristics and patterns of disciplinary innovation development.
    Overall, this research contributes to a better understanding of disciplinary innovation processes and aims to provide valuable references for academia and practice, fostering further development in library and information science.
    Reference: 中文文献
    卜小蝶、張淇龍、張映涵、徐惠敏、黃玫溱、李宜容、邱昭閔、林珊如、龍秀瑛(2012)。 圖書資訊學研究。載於國家圖書館輔導組 (編輯),中華民國一○一年圖書館年鑑(頁 237-296)。臺北:國家圖書館。
    中國大陸教育部(2020)。教育部辦公廳關於啟動部分領域教學資源建設工作的通知。教育部網站。http://www.gov.cn/zhengce/zhengceku/2020-04/20/content_5504355.htm
    王玉梅、朱學芳(2021)。我國圖情檔領域CSSCI期刊內部知識流動探析。情報理論與實踐,9,122-128。https://doi.org/10.16353/j.cnki.1000-7490.2021.09.017
    王欣、劉蔚、李款款(2016)。基於動態能力理論的產學研協同創新知識轉移影響因素研究。情報科學,34(7),9-10+19。https://doi.org/10.3969/j.issn.1007-368X.2006.03.004
    王梅玲、謝寶煖(2014)。圖書資訊學導論。台北:五南。
    王曉光(2009)。科學知識網路的形成與演化:共詞網路方法的提出。情報學報,4,599-605。https://doi.org/10.3772/j.issn.1000-0135.2009.04.015
    王麗雲,楊志堅,相子元,柯皓仁(2017)。教育學門「熱門及前瞻學術研究議題調查」研究結果及建議。人文與社會科學簡訊。
    王巍潔、穆曉敏、王琰、杜婉盈、王偉(2020)。多維專利技術功效分析模型構建及應用研究。情報理論與實踐,43(6),131-134+130。
    付立宏、郭垚(2010)。十年來圖書館知識轉移國內研究述評。圖書館,4,71-73。
    光明日報(2019)。2019中國科技論文統計結果發佈:從求數量到重品質評價指標變化顯著。中國政府網。http://www.gov.cn/shuju/2019-11/20/content_5453698.htm
    朱慶濤、陳柏彤(2021)。軟體工具類科學創新擴散中的仲介角色特徵分析:以CiteSpace為例。大學圖書情報學刊,39(4),130-138。
    何三寧(1984)。圖書館的本質屬性是知識傳遞性。青海師專學報,2,135-137。
    初景利(2020)。“新文科”呼喚圖情檔成為“硬”學科。圖書與情報,6,1-3。
    吳美美(1999)。從擴散原教師的資訊素養。在資訊素養與終身學習社會國際研討會文集,329-336。臺灣師範大學社會教育學系。
    吳碧蓉(2009)。基於層次分析法的圖書館知識轉移能力評價模型研究。現代情報,29(8),16-20。
    宋凱、李秀霞、趙思喆、劉超(2017)。基於引文分析的學科知識流動計量研究。情報雜誌,36(1),154-159。
    宋歌(2015)。學術創新的擴散過程研究。中國圖書館學報,41(1),62-75。https://doi.org/10.13530/j.cnki.jlis.151006
    李力、劉德洪、張燦影(2016)。基於知識流動理論的科技論文學術影響力評價研究。情報科學,34(7),113-119。https://doi.org/10.13833/j.cnki.is.2016.07.022
    李昊、潘宇光、王磊(2018)。Bibliometrix:一款新的基於R語言的文獻計量軟體介紹與評價。大學圖書情報學刊,36(4),93-104。https://doi.org/10.3969/j.issn.1006-1525.2018.04.018
    李春景、劉仲林(2004)。現代科學發展學科交叉模式探析:一種學科交叉模式的分析框架。科學學研究,22(3),244-248。https://doi.org/10.3969/j.issn.1003-2053.2004.03.004
    李醒民(2006)。學術創新是學術的生命。科學新聞,14,20-20。http://qikan.cqvip.com/Qikan/Article/Detail?id=22862317
    肖小勇、文亞青(2005)。組織間知識轉移的主要影響因素。情報理論與實踐,28(4),355-358。https://doi.org/10.16353/j.cnki.1000-7490.2005.04.006
    周久鳳(2002)。論圖書館的知識傳播。圖書館雜誌,12,7-10。https://doi.org/10.13663/j.cnki.lj.2002.12.002
    周瑞敏(2012)。高新技術產業技術創新擴散溢出效應測度與效果評價〔未出版之碩士論文〕。太原理工大學管理科學與工程系。
    宓浩(1983)。知識、知識材料和知識交流——圖書館情報學引論(綱要)之一。圖書館學研究,6,28-35。
    武正穀(2018)。基於CiteSpace分析的我國圖書情報學科發展研究〔未出版之碩士論文〕。山西醫科大學管理學院圖書情報系。
    武夷山(2017)。Innovation含義的變遷史。科學網。http://blog.sciencenet.cn/blog-1557-1088094.html
    武春友、戴大雙、蘇敬勤(1997)。技術創新擴散。北京:化學工業出版社。
    邱均平、李小濤(2014)。基於引文網路挖掘和時序分析的知識擴散研究。情報理論與實踐,37(7),5-10。https://doi.org/10.16353/j.cnki.1000-7490.2014.07.011
    邱均平、陳曉宇、何文靜(2015)。研究人員論文引用動機及相互影響關係研究。圖書情報工作,59(9),36-44。https://doi.org/10.13266/j.issn.0252-3116.2015.09.005
    邵婉卿(2009)。 引用動機之研究。圖書與資訊學刊,70, 61-75。
    侯一欣(2017)。Rogers革新擴散理論於課程推廣之意涵。教育研究集刊,63(3),105-142。https://doi.org/10.3966/102887082017096303004
    侯劍華、鄭碧麗、張洋(2020)。科學知識擴散研究:概念界定,理論基礎與體系重構。現代情報,9,119-128。
    施振榮(2001)。創新的六種形式影響創新的九種因素。台北:三聯書店。
    查先進、嚴密(2005)。多學科融合對我國情報學教育的影響。圖書情報知識。6,14-17。https://doi.org/10.13366/j.dik.2005.06.004
    柯皓仁、謝順宏(2019)。探索 2006-2015 年圖書資訊學領域研究議題。圖書館學與資訊科學,45(1),65-96。https://doi.org/10.6245/JLIS.201904_45(1).0003
    胡述兆(1995)。杜威(1851-1931)。圖書館學與資訊科學大辭典。https://terms.naer.edu.tw/detail/6a8f600e265864e248198fdc6204d901/?startswith=zh&seq=1
    胡靜文、陳鈴芳、林曉君、謝秀娟、鄧慶華(2018)。運用創新擴散理論提升疾病管理資訊系統使用率。護理雜誌,65(4),109-116。https://doi.org/10.6224/JN.201808_65(4).14
    倪蕙文(2004)。知識創新體系中知識交流特徵分析。情報雜誌,23(10),73-74。
    孫紅霞、生帆、譚淩峰、馬鴻佳(2016)。基於能力視角的多層次知識轉移模型構建。情報理論與實踐,39(8),81-86。https://doi.org/10.16353/j.cnki.1000-7490.2016.08.016
    徐曉藝、楊立英(2015)。基於合著論文的學科知識流動網路的特徵分析——以"藥物化學"學科為例。圖書情報工作,1,89-98。https://doi.org/10.13266/j.issn.0252-3116.2015.01.012
    袁勤儉、毛春蕾(2021)。學術虛擬社區特徵對知識交流效果影響的研究。現代情報,41(6),3-12。
    馬費成、王曉光(2006)。知識轉移的社會網路模型研究。江西社會科學,7,38-44。https://doi.org/10.3969/j.issn.1004-518X.2006.07.007
    張文範(2008)。學科交叉是創新的動力和源泉。自然辯證法研究,24(3),10。https://doi.org/10.19484/j.cnki.1000-8934.2008.03.005
    張志勇、劉益(2007)。基於網路視角的企業間知識轉移研究。情報雜誌,26(11),70-72。https://doi.org/10.3969/j.issn.1002-1965.2007.11.024
    張浩(2011)。基於小世界網路的高校知識轉移機理及擴散模型研究。情報科學,29(9),1294-1297。
    張淑玲(2018)。數據新聞的創新採納與擴散影響因素分析。現代傳播: 中國傳媒大學學報,8,149-153。
    張琦、劉人境、楊晶玉(2019)。知識轉移績效影響因素分析。科學學研究,37(2),311-319。https://doi.org/10.16192/j.cnki.1003-2053.2019.02.017
    張瑞、趙棟祥、唐旭麗、錢宇星(2020)。知識流動視角下學術名詞的跨學科遷移與發展研究。情報理論與實踐,43(1),47-55+75。https://doi.org/10.16353/j.cnki.1000-7490.2020.01.008
    張麗娜、趙維雙(2004)。技術創新擴散環境的模糊綜合評價模型的建立。瀋陽工業學院學報,23(3),88-91。
    張寶建、張麗波、孫國強(2018)。中國科技創新擴散的鏈式耦合評價研究。軟科學,32(9),9-13。https://doi.org/10.13956/j.ss.1001-8409.2018.09.03
    張權、張豔華、王成軍(2018)。知識交流效率視角下圖情期刊影響力評價。圖書情報工作,22,82-90。https://doi.org/10.13266/j.issn.0252-3116.2018.22.010.
    曹承建、張瓊、朱培華、楊廷忠(2008)。創新擴散理論在男性民工群體HIV/AIDS 危險性行為擴散調查研究中的應用。中國農村衛生事業管理,28(9),702-704。https://doi.org/10.3969/j.issn.1005-5916.2008.09.026
    曹樹金、王志紅(2016)。高校圖書館資源發現系統創新擴散機制研究。圖書情報研究,1,23-29。
    梁國強(2021)。變革性研究的引文特徵分析與早期識別模型構建〔未出版之碩博士文〕。大連理工大學管理科學與工程系。
    梁國強、侯海燕、高桐、孔祥傑、胡志剛(2019)。基於創新擴散理論的學術論文影響力廣度研究。圖書情報工作,63(2),91-98。https://doi.org/10.13266/j.issn.0252-3116.2019.02.011.
    梁晶璿、宋慧琪、陳佑成、鄭瓊娥(2021)。基於可視化分析的中國知識轉移研究熱點與展望。農業圖書情報學報,33(3),38-55。https://doi.org/10.13998/j.cnki.issn1002-1248.20-0519.
    淩磊(2018)。我國自主招生考試政策影響因素及實現路徑:基於政策創新擴散理論的實證分析。復旦教育論壇,3,51-57。https://doi.org/10.13397/j.cnki.fef.2018.03.009.
    許航、馬曉靜、代濤(2022)。基於創新擴散理論視角的我國社區健康管理服務政策擴散研究。中國全科醫學,16,1995-2002。
    陳文華(2005)。論知識與創新。德州學院學報,21(1),71-74。
    陳柏彤、張斌(2014)。科學知識擴散研究框架。圖書情報工作,58(15),10。https://doi.org/10.13266/j.issn.0252-3116.2014.15.007
    陳敏、王軼(2021)。破“五唯”政策視角下的學術成果評價研究。重慶大學學報(社會科學版),27(4),60-70。https://doi.org/10.11835/j.issn.1008-5831.pj.2021.04.001
    陳傲、柳卸林、程鵬(2011)。空間知識溢出影響因素的作用機制。科學學研究,6,883-889。https://doi.org/10.16192/j.cnki.1003-2053.2011.06.013
    陳燕、方建國(2005)。專利資訊分析方法與流程。中國發明與專利,12,58-61。
    彭修義(1981)。關於開展"知識學"的研究的建議。圖書館學通訊,3,87-90。
    馮昌揚(2018)。法國圖書館學家加布裏埃爾·諾德思想初探。圖書館理論與實踐,5,18-21。https://doi:10.14064/j.cnki.issn1005-8214.2018.05.004
    黃純元(2007)。知識交流與交流的科學。北京:圖書館出版社。
    黃訓江(2011)。層級組織知識擴散績效及其優化策略。科學學研究,29(3),413-419。
    黃慕萱、何蕙菩(2007)。圖書資訊學知識來源與知識擴散學科之研究。圖書資訊學刊,5(1/2),1-30。https://doi.org/10.6342/NTU.2008.00301
    楊斌、王學東(2010)。虛擬團隊知識轉移過程研究。圖書情報工作,2,109-112。
    楊棫(1999)。論科學圖書館知識傳播功能的拓展。圖書館雜誌,2,33-34。https://doi.org/10.13663/j.cnki.lj.1999.02.017
    楊瑞仙、黃書瑞、王元鋒(2020)。基於三階段 DEA 模型的線上健康社區知識交流效率評價研究。情報理論與實踐,43(10),122-129。https://doi.org/10.16353/j.cnki.1000-7490.2020.10.021
    葉光輝、彭澤、畢崇武、徐彤(2020)。引文內容視角下的引文網路知識流動特徵研究。情報理論與實踐,43(12),4-10。
    董麗晶、謝志遠(2021)。基於創新擴散理論的老年人數位閱讀推廣研究。出版發行研究,4,70-75。https://doi.org/10.19393/j.cnki.cn11-1537/g2.2021.04.012
    董鬱涵、叢海彬、鄒德玲(2022)。中國知識密集型服務業創新擴散能力評價研究。中國發展,22(1),22-29。https://doi.org/10.15885/j.cnki.cn11-4683/z.2022.01.005
    褚豔秋(2000)。高校圖書館知識傳播功能的拓展。情報科學,5,437-438。
    趙蓉英、魏緒秋(2016)。引證視角下的作者知識擴散規律探析。情報理論與實踐,39(8),12-17。https://doi.org/10.16353/j.cnki.1000-7490.2016.08.003
    劉大偉、周洪宇、陳俊(2019)。中國教育智庫評價指標體系構建:一項基於德爾菲法與層次分析法的研究。教育學術月刊,2,29-35。https://doi.org/10.16477/j.cnki.issn1674-2311.2019.02.003.
    劉志偉、呂斌(2021)。引用認同視角下資訊計量跨學研究究的現況、評價與發展策略:以Web of Science數據為例。圖書館雜誌,9,97-111+121。https://doi.org/10.13663/j.cnki.lj.2021.09.013.
    劉洪波(1991)。論「知識交流論」。圖書情報工作,5,7-12。
    劉越男(2020)。厚基繁支:新文科建設背景下圖情檔學科的融合發展。圖書與情報,6,12-14。
    潘天驕、陸穎雋、鄧仲華(2012)。從創新擴散理論看圖書館的雲計算應用。國家圖書館學刊,6,27-32。
    蔚海燕、梁戰平(2010)。企業並購中的知識轉移影響因素模型構建。圖書情報工作,4,61-65。
    蔡佳縈(2008)。臺灣圖書資訊學教育指南建構之研究〔未出版之碩士論文〕。國立政治大學圖書資訊與檔案學研究所。
    蔡明月(2003)。從圖書館與資訊科學的遞嬗反思圖書館的定義。中華圖書資訊學教育學會會訊,19,22-33。http://catalog.digitalarchives.tw/item/00/49/d3/c6.html。
    蔡明月(2004)。論資訊計量學。圖書館學與資訊科學,30(2),83-91。
    蔡明月、劉瓊芳(2007)。1992-2005資訊計量學研究及其發展演變。圖書與資訊學刊,61,42-56。http://nccuir.lib.nccu.edu.tw/handle/140.119/12623
    蔡明月、賴芊卉(2007)。資訊科學引用與被引用文獻分散現象與主題變化研究: 1985-2005。圖書資訊學研究,1(2),1-31。http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98021
    鄭毓煌(2021)。企業不要盲目創新。自媒體。https://v.douyin.com/ekAD92a/
    嶽麗欣、周曉英、劉自強(2020)。科學知識網路擴散中的社區擴張與收斂模式特徵分析:以醫療健康資訊領域為例。圖書情報工作,64(14),63-73。https://doi.org/10.13266/j.issn.0252-3116.2020.14.007
    薛君、李一瑋、趙青(2017)。基於創新擴散理論的網際網路金融產品消費影響因素研究。商業經濟研究,1,168-170。
    謝儲鍵、張鐙文、陳敦源(2018)。臺灣公共行政領域智識流動的研究: 治理概念擴散與連接之初探。行政暨政策學報,66,39-83。
    羅志宏(2003)。新形勢下圖書館員的知識傳播作用。醫學情報工作,6,436-437。
    羅思嘉(2013)。臺灣資訊計量研究走過20年: 1991-2010。在卜小蝶(編),圖書資訊學學術研究(頁81-93)。台北:五南。
    譚大鵬、霍國慶、王能元、吳磊、蔣日富、喻纓、董紀昌(2005)。知識轉移及其相關概念辨析。圖書情報工作,49(2),13-16。
    鐵錚(2021)。「四新」建設中:如何把握學科創新的規律和導向。北京教育(高教),5,6-6。


    英文文獻
    Aria, M. & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
    Ashley, S. R. (2009). Innovation diffusion: Implications for evaluation. New Directions for Evaluation, 124, 35-45. https://doi.org/10.1002/EV.312.
    Aström, F. (2007). Changes in the LIS research front: Time-sliced cocitation analyses of LIS journal articles, 1990–2004. Journal of the American Society for Information Science and Technology, 58(7), 947-957. https://doi.org/10.1002/asi.20567
    Barnett, H. G. (1953). Innovation: the basis of cultural change. McGraw-Hill.
    Bhattacharyya, K., & Smith, N. T. (2018). Antecedents to the success of block chain technology adoption in manufacturing supply chains. In Proceedings of the 2nd international conference on business and information management. New York, United States. https://doi.org/10.1145/3278252.3278273
    Borgman, C. L. (1989). Bibliometrics and scholarly communication: editor's introduction. Communication research, 16(5), 583-599. https://doi.org/10.1177/009365089016005002
    Borko, H. (1968). Information science: What is it? American Documentation, 19(1), 3-5. https://doi.org/10.1002/asi.5090190103
    Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27-40. https://doi.org/10.3316/QRJ0902027
    Bozeman, B. (1988). Evaluating technology transfer and diffusion. Evaluation and Program Planning, 11(1), 63-104. https://doi.org/10.1016/0149-7189(88)90034-1
    Budd, J.M. (2013). Scholarly communication's problems: an analysis. Information Research, 18(3) paper S01. [Available at http://InformationR.net/ir/18-3/colis/paperS01.html]
    Chakravarty, S., & Dubinsky, A. (2005). Individual investors' reactions to decimalization: Innovation diffusion in financial markets. Journal of Economic Psychology, 26(1), 89-103.
    Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377. https://doi.org/10.1002/asi.20317
    Chen, C., & Hicks, D (2004). Tracing knowledge diffusion. Scientometrics, 59, 199–211. https://doi.org/10.1023/B:SCIE.0000018528.59913.48
    Chen, C. J., Hsiao, Y. C., & Chu, M. A. (2014). Transfer mechanisms and knowledge transfer: the cooperative competency perspective. Journal of Business Research, 67(12), 2531-2541. https://doi.org/10.1016/j.jbusres.2014.03.011
    Chen, L., Holsapple, C.W., Hsiao, S. H., Ke, Z., Oh, J. Y. & Yang, Z. (2017), Knowledge-dissemination channels: Analytics of stature evaluation. Journal of the Association for Information Science and Technology, 68: 911-930. https://doi.org/10.1002/asi.23725
    Clarivate (2022). Web of science. Clarivate. https://www.webofscience.com/wos/alldb/basic-search
    Collier, D. (1993). the comparative method. In A. W. Finifter (Ed.), Political Science: the State of Discipline II (pp. 105-119). American Political Science Association.
    Dingfelder, H. E., & Mandell, D. S. (2011). Bridging the research-to-practice gap in autism intervention: An application of diffusion of innovation theory. Journal of Autism and Developmental Disorders, 41(5), 597-609. https://doi.org/10.1007/s10803-010-1081-0
    Drucker, P. F. (1954). the Practice of Management. Harper Row. New York.
    Drucker, P. F. (1985). Innovation and Entrepreneurship. Harper Row. New York.
    Elmghaamez, I. K., Attah‐Boakye, R., Adams, K., & Agyemang, J. (2022). the diffusion of innovation theory and the effects of IFRS adoption by multinational corporations on capital market performance: A cross‐country analysis. Thunderbird International Business Review, 64(1), 81-108. https://doi.org/10.1002/tie.22244
    Estabrook, L. S. (2009). Library and information science. In Encyclopedia of Library and Information Sciences (3rd ed.). CRC Press. Florida. 3287-3292. https://doi.org/10.1081/E-ELIS3-120044044
    Faber Frandsen, T., Rousseau, R., & Rowlands, I. (2006). Diffusion factors. Journal of Documentation, 62(1), 58-72. https://doi.org/10.1108/00220410610642048
    Garfield, E., & Pudovkin, A. I. (2004). the HistCite system for mapping and bibliometric analysis of the output of searches using the ISI Web of Knowledge. In Proceedings of the 67th annual meeting of the American society for information science and technology (pp. 1). Information Today Inc..
    Godin, B. (1998). Measuring knowledge flows between countries: the use of scientific meeting data. Scientometrics, 42(3), 313-323. https://doi.org/10.1007/BF02458374
    Godin, B. (2017). A conceptual history of innovation. In the Elgar companion to innovation and knowledge creation (pp. 25-32). Edward Elgar Publishing. https://doi.org/10.4337/9781782548522.00008
    González‐Alcaide, G., Castelló‐Cogollos, L., Navarro‐Molina, C., Aleixandre‐Benavent, R., & Valderrama‐Zurián, J. C. (2008). Library and information science research areas: Analysis of journal articles in LISA. Journal of the American Society for Information Science and Technology, 59(1), 150-154.
    Guba, E. G. (1967, October 22-25). Development, diffusion, and evaluation [Conference presentation]. Conference on Knowledge Production and Utilization in Educational Administration: Role Emergence and Reorganization, Portland, OR, United States.
    Gupta, U. G. (1997). Using citation analysis to explore the intellectual base, knowledge dissemination, and research impact of Interfaces (1970-1992). Interfaces, 27(2), 85-101. https://doi.org/10.1287/INTE.27.2.85
    Haberler, G. (2014). Joseph Alois Schumpeter, 1883–1950. In Schumpeter (pp. 24-47). Harvard University Press. https://doi.org/10.4159/harvard.9780674367340.c7
    Havelock, R. G., & Guskin, A. (1969). Planning for Innovation through Dissemination and Utilization of Knowledge. Center for Research on Utilization of Scientific Knowledge, Institute for Social Research, University of Michigan Ann Arbor.
    Herath, T. C., Herath, H. S., & D'Arcy, J. (2020). Organizational adoption of information security solutions: An integrative lens based on innovation adoption and the technology-organization-environment framework. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 51(2), 12-35.
    Hubbard, S. M., Huang, J. Y., & Mulvey, K. P. (2003). Application of diffusion of innovations theory to the TIPs evaluation project results and beyond. Evaluation and Program Planning, 26(1), 99-107. https://doi.org/10.1016/S0149-7189(02)00092-7
    Jarvelin, K., & Vakkari, P. (1990). Content analysis of research articles in library and information science. Library and information science research, 12(4), 395-421.
    Jiafu, S., Yu, Y., & Tao, Y. (2018). Measuring knowledge diffusion efficiency in R&D networks. Knowledge Management Research & Practice, 16(2), 208-219. https://doi.org/10.1080/14778238.2018.1435186
    Kang, J., Rhee, M., & Kang, K. H. (2010). Revisiting knowledge transfer: Effects of knowledge characteristics on organizational effort for knowledge transfer. Expert Systems with Applications, 37(12), 8155-8160. https://doi.org/10.1016/j.eswa.2010.05.072
    Karampour, B., Mohamed, S., Karampour, H., & Lupica Spagnolo, S. (2021). for mulating a strategic plan for BIM diffusion within the AEC Italian industry: the application of diffusion of innovation theory. Journal of Construction in Developing Countries, 26(1), 161-184. https://doi.org/10.21315/jcdc2021.26.1.8
    Katz, E. (1999). Theorizing diffusion: Tarde and Sorokin revisited. Annals of the American Academy of Political and Social Science, 566(1), 144-155. https://doi.org/10.1177/000271629956600112
    Klein, J. T. (2008). Evaluation of interdisciplinary and transdisciplinary research: A literature review. American Journal of Preventive Medicine, 35(2), S116-S123. https://doi.org/10.1016/j.amepre.2008.05.010
    Kohlbeck, S., Levas, M., Hernandez-Meier, J., & Hargarten, S. (2022). Implementing the Cardiff Model for violence prevention: Using the diffusion of innovation theory to understand facilitators and barriers to implementation. Injury Prevention, 28(1), 49-53. https://doi.org/10.1136/injuryprev-2020-044105
    Kuhn, T. S. (1962). the structure of scientific revolutions. University of Chicago Press. Chicago.
    Lange, O. (1943). A note on innovations. the Review of Economic Statistics, 25(1)19-25. https://doi.org/10.2307/1924543
    Lee, J. Y., Kim, H., & Kim, P. J. (2010). Domain analysis with text mining: Analysis of digital library research trends using profiling methods. Journal of Information Science, 36(2), 144-161. https://doi.org/10.1177/0165551509353251
    Liang, G., Hou, H., Ding, Y., & Hu, Z. (2020). Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country. Journal of Informetrics, 14(3), 101053. https://doi.org/10.1016/j.joi.2020.101053
    Liyanage, C. , Elhag, T. , Ballal, T. , & Li, Q. . (2009). Knowledge communication and translation- a knowledge transfer model. Journal of Knowledge Management, 13(3), 118 - 131.
    Loebbecke, C., Powell, P., Fenema, P., & Levy, M. (1999). SMEs, co-opetition and knowledge transfer. In Proceedings of the 7th European conference on information systems (pp. 791-798). ECIS.
    Mahajan, V., & Peterson, R. A. (1985). Models for innovation diffusion. Sage.
    Marinho, R. (2013). the challenge of a changing academia: Rogers’ diffusion of innovation theory applied to instructional technology. In INTED2013 Proceedings: 7th international technology, education and development conference (pp. 574-581). IATED.
    McCarthy, C. A. (2000). Journals of the century in library and information science. the Serials Librarian, 39(2), 121-138. https://doi.org/10.1300/J123v39n02_09
    Minishi-Majanja, M. K. (2004). Mapping and audit of information and communication technologies in library and information science education in Sub-Saharan Africa [Unpublished doctoral dissertation]. University of Zululand.
    Minishi-Majanja, M. K., & Kiplang'at, J. (2005). the diffusion of innovations theory as a theoretical framework in library and information science research. South African Journal of Libraries and Information Science, 71(3), 211-224. https://doi.org/10.7553/71-3-586
    Mitra, T., Kapoor, R. and Gupta, N. (2022), Studying key antecedents of disruptive technology adoption in the digital supply chain: an Indian perspective, International Journal of Emerging Markets, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJOEM-07-2021-1052
    Mooers, C. N. (1950). Information Retrieval Viewed as Temporal Signaling. In Proceedings of the international congress of mathematicians (pp. 572-573). Harvard University, Cambridge, MA.
    Nacke, O. (1979). Informetrie: Ein neuer Name für eine neue Disziplin. Begriffsbestimmung, Wissensstand und Entwicklungsprinzipien. Nachrichten für Dokumentation, 30(6), 219-226.
    Nederhof, A. J., & Meijer, R. F. (1995). Development of bibliometric indicators for utility of research to users in society: Measurement of external knowledge transfer via publications in trade journals. Scientometrics, 32(1), 37-48. https://doi.org/10.1007/BF02020187
    Nicolaisen, J. (2007). Citation analysis. Annual Review of Information Science and Technology, 41(1), 609-641. https://doi.org/10.1002/aris.2007.1440410120
    Noel, L., Sovacool, B. K., Kester, J., & de Rubens, G. Z. (2019). Conspicuous diffusion: Theorizing how status drives innovation in electric mobility. Environmental Innovation and Societal Transitions, 31, 154-169. https://doi.org/10.1016/j.eist.2018.11.007
    Otte, E., & Rousseau, R. (2002). Social network analysis: a powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441-453. https://doi.org/10.1177/016555150202800601
    Outcault, S., Sanguinetti, A., & Nelson, L. (2022). Technology characteristics that influence adoption of residential distributed energy resources: Adapting Rogers’ framework. Energy Policy, 168, 113153. https://doi.org/10.1016/j.enpol.2022.113153.
    Paisley, W. (1989). Bibliometrics, scholarly communication, and communication research. Communication research, 16(5), 701-717. https://doi.org/10.1177/009365089016005010
    Pan, X., Yan, E., Cui, M., & Hua, W. (2018). Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools. Journal of Informetrics, 12(2), 481-493. https://doi.org/10.1016/j.joi.2018.03.005
    Pankratz, M., Hallfors, D., & Cho, H. (2002). Measuring perceptions of innovation adoption: the diffusion of a federal drug prevention policy. Health Education Research, 17(3), 315-326. https://doi.org/10.1093/her/17.3.315
    Price, D. J. d. S. (1963). Little Science, Big Science and Beyound. Columbia University Press. Columbia.
    Reagans, R., & McEvily, B. (2003). Network structure and knowledge transfer: the effects of cohesion and range. Administrative Science Quarterly, 48(2), 240-267. https://doi.org/10.2307/3556658
    Rogers, E. M. (1995). Diffusion of Innovations (4th ed.). Free Press.
    Rogers, E. M. (1999). Georg Simmel's concept of the stranger and intercultural communication research. Communication Theory, 9(1), 58-74. https://doi.org/10.1111/j.1468-2885.1999.tb00162.x
    Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Simon & Schuster.
    Rogers, E. M. (2004). A prospective and retrospective look at the diffusion model. Journal of Health Communication, 9, 13-19. https://doi.org/10.1080/10810730490271449
    Rogers, E. M. (2010). Diffusion of Innovations. Simon and Schuster.
    Rogers, E. M., & Shoemaker, F. F. (1974). Communication of innovations: A cross-cultural approach. Man, 9(2), 476.
    Ronald, F. (1978). Relative backwardness, direct for eign investment, and the transfer of technology: A simple dynamic model. Quarterly Journal of Economics, 92(1), 1-16. https://doi.org/10.2307/1885996
    Rubin, R. E. (2017). Foundations of Library and Information Science. American Library Association.
    Schmoch, U. (1993). Tracing the knowledge transfer from science to technology as reflected in patent indicators. Scientometrics, 26(1), 193-211. https://doi.org/10.1007/BF02016800
    Schumpeter, J. A. (1934). the theory of economic development. Harvard Economic Studies.
    Schumpeter, J., & Backhaus, U. (2003). the theory of economic development. In J. Backhaus (Ed.), Joseph Alois Schumpeter. the european heritage in economics and the social sciences (Vol. 1, pp. 61-116). Springer. https://doi.org/10.1007/0-306-48082-4_3
    Simmel, G. (1908). Sociology of the Senses. Routledge.
    Spann, B., Mead, E., Maleki, M., Agarwal, N., & Williams, T. (2022). Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns. Online Social Networks and Media, 28, 100201. https://doi.org/10.1016/j.osnem.2022.100201
    Stevanov, M., & Krott, M. (2021). Embedding scientific information into for estry praxis: Explaining knowledge transfer in transdisciplinary projects by using German case. for est Policy and Economics, 129, 102508. https://doi.org/10.1016/j.forpol.2021.102508
    Surry, D. W., & Farquhar, J. D. (1997). Diffusion theory and instructional technology. Journal of Instructional Science and Technology, 2(1), 24-36.
    Tarde, G. (1903). the Laws of Imitation. H. Holt.
    Tarde, G. (1969). On Communication and Social Influence: Selected Papers. the University of Chicago Press.
    Taylor, R. S. (1963). the information sciences. Library Journal, 88(19), 4161-4163.
    Tsay, M. y. (2013). Knowledge input for the domain of information science: A bibliometric and citation analysis study. Aslib Proceedings, 65(2), 203-220. https://doi.org/10.1108/00012531311314005
    Tuomaala, O., Järvelin, K., & Vakkari, P. (2014). Evolution of library and information science, 1965–2005: Content analysis of journal articles. Journal of the Association for Information Science and Technology, 65(7), 1446-1462. https://doi.org/10.1002/asi.23034
    Van Eck, N. J., & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111(2), 1053-1070. https://doi.org/10.1007/s11192-017-2300-7
    Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
    Wang, E. S.-T. (2022). Influences of innovation attributes on value perceptions and usage intentions of mobile payment. Journal of Electronic Commerce Research, 23(1), 45-58.
    White, H. D., & McCain, K. W. (1998). Visualizing a discipline: An author co‐citation analysis of information science, 1972–1995. Journal of the American Society for Information Science, 49(4), 327-355. https://doi.org/10.1002/(SICI)1097-4571(19980401)49:4%3C327::AID-ASI4%3E3.0.CO;2-W
    Wolf, W. C. (1981). Selected knowledge diffusion/utilization know-how: Generalizability within educational practice. Knowledge, 2(3), 331-340. https://doi.org/10.1177/107554708100200303
    Yan, E. (2016). Disciplinary knowledge production and diffusion in science. Journal of the Association for Information Science and Technology, 67(9), 2223-2245. https://doi.org/10.1002/asi.23541
    Yoo, W., Yu, E., & Jung, J. (2018). Drone delivery: Factors affecting the public’s attitude and intention to adopt. Telematics and Informatics, 35(6), 1687-1700.
    Yu, D., & Pan, T. (2021). Tracing knowledge diffusion of TOPSIS: A historical perspective from citation network. Expert Systems with Applications, 168, 114238. https://doi.org/10.1016/j.eswa.2020.114238
    Zanotto, S. R., Vanz, S. A. D. S., & Stumpf, I. R. C. (2017). Diffusion factor: A measure of knowledge dissemination through citations. Investigación bibliotecológica, 31(9), 101-122. https://doi.org/10.22201/iibi.24488321xe.2017.nesp1.57887
    Zhao, D., & Strotmann, A. (2008a). Evolution of research activities and intellectual influences in information science 1996–2005: Introducing author bibliographic‐coupling analysis. Journal of the American Society for Information Science and Technology, 59(13), 2070-2086. https://doi.org/10.1002/asi.20910
    Zhao, D., & Strotmann, A. (2008b). Information science during the first decade of the web: An enriched author cocitation analysis. Journal of the American Society for Information Science and Technology, 59(6), 916-937. https://doi.org/10.1002/asi.20799
    Zhao, D., & Strotmann, A. (2014). the knowledge base and research front of information science 2006–2010: An author cocitation and bibliographic coupling analysis. Journal of the Association for Information Science and Technology, 65(5), 995-1006. https://doi.org/10.1002/asi.23027
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