博碩士論文 994401016 詳細資訊




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姓名 戴元峰(Yuan-fung Dai)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 國際科技政策觀測與政府組織創新擴散歷程研究
(Process Research of International Science and Technology Policy Observing and Governmental organization Innovation Diffusion)
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摘要(中) 本研究發現政府組織的創新活動,就像是不停動態演化的「創新沉默螺旋」(Silenced Innovation Spiral, SIS),時常會不停修正,甚且前後反覆的變化。創新活動在受到各種因素糾結衝擊下會經過幾個轉捩點進入一個沉默轉折的過程,產生一種非線性、不連續的演化。其中許多鮮為人知的關鍵因素,都輕易的被創新演化的軌跡所掩蓋,甚且淹沒在波濤洶湧的創新大海之中。政府組織採取決策支援創新的策略取決於諸多因素,如外部環境衝擊、內部組織創新文化、以及組織決策者對於創新事物之認知的交互影響。政府決策機構的創新擴散歷程會為組織帶來再創新與不穩定,故創新演化之論述需要整體考量,歷程與效應亦只有經由長期的觀察沉澱才能清楚的浮現。

本研究迥異於以較短時間及僅就表象因素作為焦點研討的其他組織創新擴散之研究。以「創新擴散」的理論為基礎,聚焦觀察政府科技決策過程中攸關「環境偵測」(Decision Environmental Scanning, DES)之創新活動,歷經9年時間,透過觀察「國際科技政策觀測系統」(International Science and Technology Policy Observing System, ISTPOS)導入過程的具體案例,來研究行政院科技顧問組之組織創新發展軌跡與成敗關鍵因素。本研究採用行動研究模式,利用參與觀察、深度訪談與次級資料分析等研究方法進行資料的蒐集與解析。

本研究的主要貢獻在於提出政府組織創新擴散的關鍵因素乃是潛藏於環境、組織、個體中強大而細微的衝擊;這些衝擊肇因於不斷變化的各種「驅動力」之間的交織碰撞,因而形成了「創新動態演化」的現象。這些潛藏衝擊透過時序流變所產生的「創新冰山演化結構」(Innovation Iceberg Evolution Structure, IIES),經過漫長時間醞釀,直接主導了整個組織創新活動的軌跡與其成敗。
摘要(英) This research finds that self-correcting, even self-contradicting changes often take place in innovation activities of governmental organizations, as the “Silenced Innovation Spiral (SIS)” theory has predicted. Passing through a few critical/turning points, the innovation activities which are impacted by many factors, will eventually enter into a silent spiraling path illustrating a non-linear, discontinuous evolution process. Many key factors, that are seldom seen (or at least not so easily seen), are sometimes concealed by dusts on the path of innovation, and/or frequently submerged under huge waves in the sea of innovation. The reason why strategies such as “Decision-Support Innovation” are adopted by governmental organizations is usually based on interactions of many factors, i.e. external environmental impacts on organization, internal organizational culture on innovation and the leaders’ perception on innovation itself, just to name a few. The innovation diffusion process usually brings forward re-innovation and hence inevitable instability to the governmental organization that adopts it in the first place. Such a complex process of innovation evolution can only be analyzed/understood/discoursed through a longer-term and more holistic research that is current study.

This research distinguishes itself from others on similar topics namely innovation diffusion in organizations, in that others conducted their studies by implementing a methodology that focused on just representation factors appeared in a shorter time-span. Based on “Innovation Diffusion” theory to observe innovation activities related to “Environmental Scanner” in governmental science & technology decision process, this 9-year-long research, on the other hand, has studied in detail the development path and key success/failure factors of organizational innovation issues of the STAG(Science and Technology Advisory Group)of Executive Yuan, Taiwan, ROC in due course of adopting the “International Science & Technology Observation System (ISTOS)”. This research also adopts the “Action Research” methodology, as well as approaches such as “Participant Observation”, “In-depth Interview” and “Secondary Data Analysis” for the collection/analysis of data/information.

The major contribution of this research is to bring forward that key success/failure factors for innovation diffusion in governmental organizations lie in a few seemingly strong yet delicate impacts, which were hidden/embedded in the environment, organizations and individuals. These impacts, resulted from interactions of many ever-changing “driving forces”, shaped the phenomenon that is “Dynamic Innovation Evolution”. Through sudden temporal changes and long-term fermentation, these hidden/embedded impacts eventually formed the so-called “Innovation Iceberg Evolution Structure(IIES)” , that finally determines the path and success/failure of the innovation activities in the organization as a whole.
關鍵字(中) ★ 科技政策
★ 決策支援
★ 環境偵測
★ 創新探索
★ 創新擴散
★ 創新沉默螺旋
★ 創新冰山演化結構
關鍵字(英) ★ Science and Technology Policy
★ Decision Support
★ Environmental Scanning
★ Innovation Exploration
★ Innovation Diffusion
★ Silenced Innovation Spiral
★ Innovation Iceberg Evolution Structure
論文目次 第一章、緒論 1
第一節、研究動機 1
第二節、研究問題 2
第三節、研究目的 4
第四節、研究流程 5

第二章、文獻回顧 7
第一節、決策支援之意涵與相關研究 7
第二節、政府競爭情報之意涵與相關研究 16
第三節、創新與組織創新擴散之意涵與相關研究 21
第四節、組織創新擴散之特性與關鍵影響因素 30

第三章、國際科技政策觀測系統的設計與運作 43
第一節、國際科技政策觀測系統的設計 43
第二節、國際科技政策觀測系統的運作模式 51
第三節、國際科技政策觀測系統的效能 58
第四節、國際科技政策觀測系統的試行與審查 66

第四章、研究設計與方法 73
第一節、研究設計與工作準備 73
第二節、參與觀察法 76
第三節、深度訪談法 78
第四節、次級資料分析法 84

第五章、創新事務的推動背景與政府創新性來源 85
第一節、政府科技政策形成機制 85
第二節、政府機構創新性的背景與狀態 92
第三節、國際科技政策觀測系統的創新特性 109
第四節、國際科技政策觀測系統建設的創新挑戰與因應 113

第六章、政府組織創新動態歷程之創新性建構與演化關係 119
第一節、組織創新活動的縱貫面現象狀態綜論 119
第二節、創新活動潛藏的縱貫面衝擊結構之一-環境變遷 122
第三節、創新活動潛藏的縱貫面衝擊結構之二-創新文化 135
第四節、創新活動潛藏的縱貫面衝擊結構之三-決策者對創新態度 146
第五節、跨演化的轉捩點狀態探討 160

第七章、結論與建議 165
第一節、研究發現 165
第二節、理論意涵 169
第三節、政策建議 172
第四節、研究限制與建議 174

參考文獻 177
附件 197

參考文獻 中文部份:

PMI國際專案管理學會台灣分會(譯)(2013)。專案管理知識體指南PMBOK. Guide(第5版)(原作者:Project Management Institute)。台北市:PMI國際專案管理學會台灣分會。
尹其言(2011)。以競爭智慧觀點支援企業高階主管決策之研究(未出版之博士論文)。國立政治大學,台北市。
王文祥(2001)。我國武器獲得方式影響因素之研究—國防科技預測與評估模式的應用(未出版之碩士論文)。國防管理學院,台北縣。
王美雅(2005)。概念型創新的動態擴散過程—複雜理論觀點(未出版之博士論文)。國立政治大學,台北市。
丘昌泰(2000)。公共政策:基礎篇。台北市:巨流圖書公司。
朱斌妤、高思凱(2012)。科技資訊評選準則分析。中山管理評論,20(3), 811-849。
江志卿、黃興進、嚴紀中(2005)。中小企業採用網路科技之比較:創新擴散通用模式的整合觀點。資訊管理學報,12(2),103-139。
行政院科技顧問組(編)(1979)。第一次行政院科技顧問會議報告。台北市:行政院科技顧問組。
行政院科技顧問組(編)(1983)。第五次行政院科技顧問會議報告。台北市:行政院科技顧問組。
行政院科技顧問組(編)(1999)。行政院科技顧問組二十周年紀念集。台北市:行政院科技顧問組。
行政院科技顧問組(編)(2007)。第二十七次行政院科技顧問會議報告。台北市:行政院科技顧問組。
行政院科技顧問組(編)(2008)。國際科技政策觀測二月報告。台北市:行政院科技顧問組。
巫和懋、夏珍(2002)。賽局高手-全方位策略運用。台北市:時報文化出版公司。
李仲彬(2000)。影響全球電子化發展的因素:以政策擴散理論為基礎的分析。公共行政學報,36,39-89。
李仲彬(2013)。影響地方政府創新產出量的因素。東吳政治學報,31(1),105-160。
李仲彬(2014)。什麼特質的政府組織容易創新?組織創新環境衡量架構指標建立與實證調查之研究。行政院國家科學委員會專題研究計畫(編號:MOST 103-2628-H-032 -001 -SS2),未出版。
李明軒、邱如美(譯)(1996)。國家競爭優勢(上)(初版)(原作者:M. E. Porter)。台北市:天下文化公司。(原著出版年:1990年)
林義屏(2001)。市場導向、組織學習、組織創新與組織績效間關係之研究—以科學園區資訊電子產業為例(未出版之博士論文)。國立中山大學,高雄市。
林鍾沂、林文斌(譯)(2003)。公共管理的世界(初版)(原作者:O. E. Hughes)。台北市:韋伯文化出版公司。(原著出版年:1998年)
前瞻社(編)(2009)。前瞻社政策前瞻活動文集。台北市:前瞻社。
前瞻社(編)(2010)。台灣前途探照燈—政策前瞻與台灣發展論壇文集。台北市:前瞻社。
施弘彬(1978)。企業對外界環境偵測系統之研究(未出版之碩士論文)。國立政治大學,台北市。
柯承恩、戴元峰(2011)。論遠景思維與國家「前瞻治理」。國會月刊,39(1),23-39。
美國華裔教授專家網(2014年8月7日)。大數據時代充滿挑戰! 【新聞群組】。取自 http://scholarsupdate.hi2net.com/news.asp?NewsID=15425
計惠卿、吳斯茜、蔡秉燁(2001)。運用資訊批判技能提昇網路資訊鑑別力。台灣教育,607,60-63。
徐作聖(2000)。創新政策概論(初版)。台北市:華太文化公司。
乾佾(1987)。日本科技政策。北京市:科學技術文獻出版社。
張家福 (譯)(2014)。時機問題:頂尖專家教你打開全新視野,學會在對的時間做正確的事(初版)(原作者:Stuart Albert)。台北市:大塊文化公司。(原著出版年:2013年)
張淑昭(1996)。企業組織之權力結構情境、策略與環境偵測間互動性之研究。行政院國家科學委員會專題研究計畫(編號:NSC85-2416-H006-012),未出版。
張淑眧、陳志忠、李明興、蘇文娟(2006)。組織結構、工作特性、員工生涯發展與組織承諾的關係探討。中華管理評論國際學報,9(4)。取自http://cmr.ba.ouhk.edu.hk/cmr/webjournal/v9n4/CMR086C05.pdf
張新華(1991)。資訊學概論。台北市:台灣商務。
莊立民、陳志龍(2006)。建構組織創新擴散過程之研究-以媒體出版業為例。出版與管理研究,2,33-64。
莊立民、陳志龍(2007)。服務業組織創新擴散模式之研究—以台灣直銷業為例。中華管理評論國際學報,10(1)。取自http://cmr.ba.ouhk.edu.hk/cmr/webjournal/v10n1/CMR087C05.pdf
陳井興(1986)。科技發展政策目標。科技發展政策論文集。台北市:台灣經濟研究院。
陳文賢(2002)。資訊管理。台北市:東華書局。
陳玉璽(2002)。從金融風暴到全球危機:新典範轉移的觀點。宜蘭:佛光人文社會學院。
陳向明(2002)。社會科學質的研究(初版)。台北市:五南圖書出版公司。
陳序廷、黃東益(2011)。為什麼創新先驅成為後進者?臺北市政府的行車倒數計時顯示器政策學習過程。公共行政學報,40,77-110。
陳禹辰、歐陽崇榮(1988)。決策支援與專家系統。台北市:全華圖書。
陳峰、梁戰平(2003)。政府競爭情報與企業競爭情報的互動與融合。中國軟科學,4,100-104。
陳啟光、陳玉真、于長禧、蔡政和(2006)。政府機關之間為民服務創新作為擴散過程之探討。品質學報,(13)3,329-343。
陳湛勻(1999)。現代決策應用與方法分析。台北市:五南圖書出版社。
郭昱瑩(2002)。公共政策決策輔助模型個案分析。台北市:智勝文化公司。
彭漣漪(2009)。走過台灣科技30年—尋找下一波動能。遠見雜誌,特刊,14-16。
曾信超、林隆生(1999)。我國科技政策之變革芻議。台灣經濟金融月刊,53 (4),23-29。
黃東益(2004)。全球治理下政府知識管理的新面向:府際政策學習。國家政策季刊,3(1),135-154。
黃俊英、吳思華、蔡敦浩(1992)。科技政策研究中心組織與功能之研究。行政院國家科學委員會專題研究計畫(編號:NSC81-0510-P110-005),未出版。
黃種斌(2005)。政府在科技發展中的角色:科技政策組織體系型態之探討(未出版之碩士論文)。國立台灣大學,台北市。
楚見晴 (譯)(2014)。現在,頂尖商學院教授都在想什麼?你不知道的管理學現況與真相(初版)(原作者:入山章榮)。台北市:經濟新潮社。(原著出版年:2012年)
楊振富、潘勛 (譯)(2005)。地球是平的(初版)(原作者:T. Friedman)。台北市:雅言文化公司。(原著出版年:2006年)
葉賢忠(1988)。情報與決策關係之探討:兼論美國情報系統(未出版之碩士論文)。淡江大學,台北縣。
廖世德(譯)(1993)。寶瓶同謀(原作者:Ferguson, M.)。台北市:方智。(原著出版年:1980)
廖本誠(2005)。企業競爭商情教育發展之研究—先進國家與海峽兩岸之比較(未出版之碩士論文)。國立中央大學,桃園縣。
趙剛(2004)。建立國家競爭情報體系:目標與原則。情報學報,23(3),367-371。
蔡伸章(譯)(1994)。未來衝擊(再版)(原作者:A. Toffler)。台北市:時報文化公司。(原著出版年:1984)
蔡明宏(1985)。組織內權力分配與主管環境偵測活動之研究(未出版之博士論文)。國立政治大學,台北市。
蔡啟通(1997)。組織創新、組織成員整體創造性與組織創新之關係(未出版之博士論文)。國立台灣大學,台北市。
鄭興弟(2003)。政策規劃理論與方法。台北市:商鼎文化出版社。
蕭智遠(2007)。兩岸公務人員考選制度之比較研究(未出版之碩士論文)。國立政治大學,台北市。
賴沅暉(2004)。新基因學的治理與政策議題:以基因檢測科技發展為例。行政暨政策學報,38,61-94。
戴元峰(2006)。國際科技政策觀測系統企劃報告。行政院科技顧問組企劃報告,未出版。
戴元峰(2009)。國家決策輔助諮詢系統之研究—以國際科技政策觀測系統為例(未出版之碩士論文)。國立政治大學,台北市。
戴元峰(2013)。國際科技政策前瞻企劃報告。行政院科技會報辦公室企劃報告,未出版。
戴元峰、吳騏、薛義誠(2010)。「科技訊息分群圖譜」導入政府決策支援系統之應用。公共行政學報,44,113-160。
繆其浩、張左之(1989)。對JETRO海外技術情報活動的剖析。情報學報,8(4),281-291。
繆其浩、陶翔、陳超、張左之(2005)。國家競爭情報的概念及其演變過程。北京市:圖書情報工作。
鍾岳勳(2001)。台灣科技政策決策機制變遷之研究(未出版之碩士論文)。國立政治大學,台北市。



英文部分:

Abelson, D. E. (2002). Do think tanks matter? Assessing the impact of public policy institutes. Montreal, Canada: McGill-Queen’s University Press.
Abernathy, W. J., & Utterback, J. M. (1978). Patterns of industrial innovation. Technology Review, 80(7), 40-47.
Abrahamson, E., & Rosenkopf, L. (1997). Social network effects on the extent of innovation diffusion: A computer simulation. Organization Science, 8(3): 289-309.
Abramo, G., & D’Angelo. C. A. (2009). A decision support system for public research organizations participating in national research assessment exercises. Journal of the American Society for Information Science and Technology, 60(10), 2095-2106.
Aguilar, F. J. (1967). Scanning the business environment. New York: Macmillan.
Aiken, M., & Hage, J. (1971). The organic organization and innovation. Sociology, 5, 63-82.
Aldrich, H. E., & Pfeffer, J. (1976). Environments of organizations. Annual Review of Sociology, 2(1), 79-105.
Alter, S. (1977). A taxonomy of decision support systems. Sloan Management Review, 19(1), 39-56.
Amabile, T. M. (1988). A model of creativity and innovation in organizations. In B. M. Staw & L. L. Cummings (Eds.), Research in organizational behavior (pp. 123-167). Greenwich, CT: JAI Press.
Anumba, C. J., Baugh, C., & Khalfan, M. A. (2002). Organizational structures to support concurrent engineering in construction. Industrial Management & Data Systems, 102(5/6), 260-271.
Archer, E. R. (1980). How to make a business decision: An analysis of theory and practice . Management Review, 69(2), 54-61.
Austin, J. L. (1962). How to do things with words. Oxford: Oxford University Press.
Aversi, R., Dosi, G., Fagiolo, G., Meacci, M., & Olivertti, C. (1999). Demand dynamics with socially evolving preferences. Industrial and Corporate Change, 8(2), 353-408.
Baptista, R. (1999). The diffusion of process innovations: A selective review. International Journal of the Economics of Business, 6(1), 107-129.
Bass, F. M. (1969). A new product growth model for consumers durables. Management Science, 15, 215-227.
Baumard, P. (1993). National intelligence communities: Consolidation vs. renewal? In J. E. Prescott & P. T. Gibbons (Eds.), Global perspectives on competitive intelligence (pp. 37-48). Alexandria, VA: SCIP.
Becker, S. W., & Whisler, T. L. (1967). The innovative organization: A selective view of current theory and research. The Journal of Business, 40(4), 462-469.
Behn, R. D. (1997). The dilemmas of innovation in American government. In A. A. Altshuler & R. D. Behn (Eds.), Innovation in American Government: Challenges, opportunities, and dilemmas (pp. 3-37). Washington, D. C.: The Brookings Institution.
Belich, T., & Dubinsky, A. J. (1999). Information processing among exporters: An empirical examination of small firms. Journal of Marketing Theory and Practice, 7(4), 45-58.
Berry, F. S., & Berry, W. D. (1990). State lottery adoptions as policy innovations: An event history analysis. The American Political Science Review, 395-415.
Berti-Equille, L., & Dasu, T. (2009). Data quality mining: New research directions. Retrieved April 08, 2011, from http://www.irisa.fr/Laure.Berti-Equille/pub_files/tutorial-icdm09.pdf.
Beyer, J. M., & Trice, H. M. (1978). Implementing change. New York, NY: Free Press.
Bogdewic, S. P. (1992). Participant Observation. In B. F. Crabtree & W. L. Miller (Eds.), Doing qualitative research (pp. 45-69). Newbury Park, CA: Sage Publications, Inc.
Bonczek, R., Holsapple, C., & Whinston, A. B. (1981). Foundations of decision support systems. New York: Academic Press.
Borins, S. (2000). Loose cannons and rule breakers, or enterprising leaders? Some evidence about innovative public managers. Public Administration Review, 60(6), 498-507.
Brass, D. J. (1981). Structural relationships, job characteristics, and worker satisfaction and performance. Administrative Science Quarterly, 26(3), 331-348.
Buchanan, D., & Huczynski, A. (1991). Organizational behavior. Englewood Cliffs, NJ: Prentice-Hall.
Burns, T., & Stalker, G. M. (1961). The management of innovation. London: Tavistock.
Burt, R. S. (1987). Social contagion and innovation: Cohesion versus structural equivalence. American Journal of Sociology, 92, 1287-1335.
Burt, R. S. (1999). The social capital of opinion leaders. Annals of the American Academy of Political and Social Science, 566, 37-54.
Calof, J. L., & Skinner, B. (1998). Competitive intelligence for government officers: A brave new world. Optimum, 28(2), 38-42.
Calof, J., & Skinner, B. (1999). Government′s role in competitive intelligence: What′s happening in Canada? Competitive Intelligence Magazine, 2(2), 20-23.
Chan, Y. E., Huff, S. L., Barclay, D. W., & Copeland, D. G. (1997). Business strategic orientation, information systems strategic orientation, and strategic alignment. Inform. Systems Res., 8(2), 125-150.
Christensen, C. M.(1997). The innovator′s dilemma: When new technologies cause great firms to fail. Boston, MA: Harvard Business School Press.
Clark, K. B. (1985). The interaction of design hierarchies and market concepts in technology evolution. Research Policy, 14, 235-251.
Cooper, J. R. (1998). A multidimensional approach to the adoption of innovation. Management Decision, 36(8), 493-502.
Cooper, P. J., Brandy, L. P., Hidalgo-Hardeman, O., Hyde, A., Naff, K. C., Ott, J. S., & White, H. (1998). Public administration for the twenty-first century. Orlando, FL: Harcourt Brace.
Cooper, R. B., & Zumd, R.W. (1990). Information technology implementation research:A technological diffusion approach. Management Science, 36(2), 123-139.
Corwin, R. G. (1975). Innovation in organizations: The case of schools. Sociology of Education Journal, 21, 193-210.
Crane, D. (1999). Diffusion models and fashion: A reassessment. Annals of the American Academy of Political and Social Science, 566, 13-24.
Daft, R. L. (1978). A dual-core model of organizational innovation. Academy of Management Journal, 21, 193-210.
Daft, R. L. (1989). Organization theory and design. St. Paul: West Pub. Co.
Daft, R. L. (2001). Organizational theory and design (7th ed.). Cincinnati, OH: South-Western College Publishing.
Daft, R. L., Sormunen, J., & Parks, D. (1988). Chief executive scanning, environmental characteristics, and company performance: An empirical study. Strategic Management Journal, 9(2), 123-139.
Damanpour, F. (1987). The adoption of technological, administrative, and ancillary innovations: Impact of organizational factors. Journal of Management, 13(4), 675-688.
Damanpour, F. (1988). Innovation type, radicalness, and the adoption process. Communication Research, 15, 545-567.
Damanpour, F. (1991). Organizational innovation: A meta-analysis of effects of determinants and moderators. Academy of Management Journal, 34(3), 555-590.
Damanpour, F., & Evan, W. M. (1984). Organizational innovation and performance: The problem of organizational lag. Administrative Science Quarterly, 29, 392-409.
Damanpour, F., & Evan, W. M. (1990). The adoption of innovation overtime: Structural characteristics and performance of organizations. Paper presented at the Annual Meeting of the Decision Science Institute, San Diego, CA.
Damanpour, F., Walker, R. M., & Avellaneda, C. N. (2009). Combinative effects of innovation types and organizational performance: A longitudinal study of service organizations. Journal of Management Studies, 46(4), 650-675.
Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Boston: Harvard Business School Press.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information system: Theory and results. MA: Cambridge.
Davis, G. B., & Olson, M. H. (1985). Management information systems: Conceptual foundation, structure, and development. New York: McGraw-Hill Book Co.
Dearing, J. W., & Rogers, E. M. (1996). Communication concepts 6: Agenda-setting. Thousand Oaks, CA: Sage Publications, Inc.
Dedijer, S. (1980). Social engineering of intelligence for development (pp. 1-59). Document no.6 at the meeting on the Knowledge Industry and the Process of Development, Paris, France.
DeLone, W. H., & McLean, E. R. (1992). Information system success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of information systems success: A ten-year update. Journal of Management Information System, 19(4), 9-30.
DeSanctis, G., & Poole, M. S. (1994). Capturing the complexity in advanced technology use: Adaptive structuration theory. Organization Science, 5(2), 121-147.
Dewar, R. D., & Dutton, J. E. (1986). The adoption of radical and incremental innovations: An empirical analysis. Management Science, 32, 1422-1433.
DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organization fields. American Sociology Review, 48, 147-160.
Dishman, P. L., & Calof, J. L. (2008). Competitive intelligence: A multiphasic precedent to marketing strategy. European Journal of Marketing, 42(7/8), 766-785.
Dosi, G. (1991). The research on innovation diffusion: An assessment. In N. Nakićenović & A. Grűbler (Eds.), Diffusion of technologies and social behavior (pp. 179-208). New York: Springer-Verlag.
Downs, G. W., & Mohr, L. B. (1976). Conceptual issues in the study of innovation. Administrative Science Quarterly, 21, 700-714.
Drazin, R. (1990). Professionals and innovation: Structural-functional versus radical-structural perspectives. The Journal of Management Studies, 27(3), 245-263.
Dror, Y. (1984). Required break throughs in think tanks. Policy Sciences, 16, 192-225.
Drucker, P. F. (1985). Innovation and entrepreneurship: Practice and principles. London: Heinemann.
Dyson, K., & Humphreys, P. (1990). Introduction: politics, markets and communication policies. In K. Dyson & P. Humphreys (Eds.), The political economy of communications: International and European dimensions (pp. 1-32). NY: Routledge.
Ergas, H. (1987). Does technology policy matter? In H. Brooks & B. Guile (Eds.), Technology and global industry: Companies and nations in the world economy (pp. 191-245). Washington, D. C.: National Academy Press.
Ettlie, J. E., Bridges, W. P., & O’Keefe, R. D. (1984). Organization strategy and structural differences for radical versus incremental innovation. Management Science, 30, 682-695.
Evan, W. M., & Black, G. (1967). Innovation in business organizations: Some factors associated with success or failure. Journal of Business, 40, 519-530.
Fagerberg, J., & Verspagen, B. (2002). Technology-gaps, innovation-diffusion and transformation: An evolutionary interpretation. Research Policy, 31, 1291-1304.
Farrell, J., & Saloner, G. (1986). Installed base and compatibility: Innovation, product preannouncements, and predation. The American Economic Review, 76(5), 940-955.
Fennell, M. L. (1984). Synergy, influence, and information in the adoption of administrative innovation. Academy of Management Journal, 27(1), 113-129.
Fleisher, C. S., & Blenkhorn, D. L. (2001). Managing frontiers in competitive intelligence. CT: Quorum Books.
Frambach, R. T. (1993). An integrated model of organizational adoption and diffusion of innovations. European Journal of Marketing, 25(5), 22-41.
Friend, J., & Hickling, A. (1987). Planning under pressure: The strategic choice approach. New York, NY: Pergamon Press.
Fuld, L., & Borska, D. (1995). What utilities should expect from competitive intelligence. Public Utilities Fortnightly, 133(5), 21-24.
Galliers, R. D., & Sutherland, A. R. (1991). Information systems management and strategy formulation: The “stages of growth” model revisited. J. Inform. Systems, 1, 89-114.
Gatignon, H., & Robertson, S. T. (1989). Technology diffusion: An empirical test of competitive effects. Journal of Marketing, 53(1), 35-49.
Georghiou, L., & Larédo, P. (2006). Evaluation of publicly funded research: Recent trends and perspectives. In L. Georghiou (Eds.), OECD science, technology and industry outlook (pp. 177-199). Paris: OECD.
Gersick, C. J. (1991). Revolutionary change theories: A multilevel exploration of the punctuated equilibrium paradigm. Academy of Management Review, 16, 10-36.
Giddens, A. (1984). The Constitution of society: Outline of the theory of structure. Berkeley, CA: University of California Press.
Goetz, J. P., & LeCompte, M. D. (1984). Ethnography and qualitative design in educational research. Orlando, FL: Academic Press.
Gold, R. L. (1969). Roles in sociological field observation. In G. McCall & J. L. Simmons (Eds.), Issues in participant observation (pp. 30-39). Menlo Park: Addison-Wesley.
Golden-Biddle, K., & Locke, K. (1993). Appealing work: An investigation of how ethnographic texts convince. Organization Science, 4, 595-616.
Goodman, R. M., & Steckler, A. (1989). A framework for assessing program institutionalization. Knowledge in Society, 2(1), 57–71.
Gordon, I. (1989). Beat the competition! How to use competitive intelligence to develop winning strategies? Oxford: Blackwell.
Gore, W. J., & Dyson, J. W. (1964). Making decisions. New York, NY: Simon & Schuster.
Gorry, G. A., & Morto, M. S. (1971). A framework for management information systems. Sloan Management Review, 13(1), 50-70.
Granovetter, M. (1978). Threshold models of collective behavior. American Journal of Sociology, 83, 1420-1433.
Greene, R. M. (1966). Business intelligence and espionage. Homewood, IL: Dow Jones Irwin, Inc..
Griffith, T. L. (1999). Technology features as triggers for sensemaking. Academy of Management Review, 24(3), 472-488.
Griliches, Z. (1957). Hybrid corn: An exploration in the economics of technological change. Econometrica, 25(4):501-522.
Grover, V., & Goslar, M. (1993). The initiation, adoption, and implementation of telecommunications technologies in U. S. organization. Journal of Management Information System, 10(1), 141-163.
Gulick, L. (1992). Notes on the theory of organization. In J. M. Shafritz & A. C. Hyde (Eds.), Classics of Public Administration (3rd Ed.) (pp. 80-89). Pacific Grove, C A: Book/Cole Publishing Company.
Haas, P. M. (1992). Knowledge, power and international policy coordination. Columbia: University of South Carolina Press.
Hackman, J. R. (1992). Group influences on individuals in organizations. In M. D. Dunnette & L. M. Hough (Eds.), Handbook of industrial and organizational psychology (pp. 199-268). Palo Alto, CA: Consulting Psychologists Press.
Hage, J., & Dewar, R. (1973). Elite values versus organizational structure in predicting innovation. Administrative Science Quarterly, 18, 279-290.
Herring, J. P. (1996). Measuring the effectiveness of competitive intelligence: Accessing & communicating CI’s value to your organization (2nd ed.). Alexandria, VA: Society of Competitive Intelligence Professionals.
Hilsman, R. (1990). The politics of policy making in defense and foreign affairs (2nd ed.). Englewood Cliffs, NJ: Prentice-Hall.
Holsapple, C. W., & Whinston, A. B. (1996). Decision support systems: A knowledge based approach. St. Paul: West Publishing Company.
Holtzhausen, D. (2002). The effects of a divisionalised and decentralized organizational structure on a formal internal communication function in a South African organization. Journal of Communication Management, 6(4), 323-340.
Hovis, J. H. (2000). CI at Avnet: A bottom-line impact. Competitive Intelligence Review, 11(3), 5-15.
Howard-Grenville, J. A., & Carlile, P. R. (2006). The incompatibility of knowledge regimes: Consequences of the material world for cross-domain work. European Journal of Information Systems, 15(5), 473-485.
Huber, G. P. (2001). Transfer of knowledge in knowledge management systems: Unexplored issues and suggested studies. European Journal of Information Systems, 10(2), 72-79.
Hull, F. & Hage, J. (1982). Organizing for innovation: Beyond Burns and Stalker’s organic type. Sociology, 16, 564-577.
Iivari, J., & Ervasti, I. (1994). User information satisfaction: IS implementability and effectiveness. Information and Management, 27(4), 205-220.
James, L.R., & Jones, A. P. (1976). Organizational structure: A review of structural dimensions and their conceptual relationships with individual attitudes and behavior. Organizational Behavior and Human Performance, 16(1), 74-113.
Berger, J. (1972). Ways of seeing. London, BBC and Penguin Books.
Jorgensen, D. L. (1989). Participant observation:A Methodology for human studies. Newbury Park, CA: Sage Publications, Inc.
Katerattanakul, P., & Siau, K. (1999). Measuring information quality of web sites: Development of an Instrument. Proceedings of the 20th International Conference on Information Systems, pp. 279-285.
Katz, E. (1999). Theorizing diffusion: Tarde and Sorokin revisited. Annals of the American Academy of Political and Social Science, 144-155.
Keen, P. G. W., & Morton, M. S. S. (1978). Decision support systems: An organizational perspective. MA: Addison-Wesley.
Kiesler, S., & Lee, S. (1992). Group decision making and communication technology. Organizational Behavior and Human Decision Processes, 52(1), 96-123.
Kimberly, J. R., & Evanisko, M. (1981). Organizational innovation: The influence of individual, organizational, and contextual factors on hospital adoption of technological and administrative innovations. Academy of Management Journal, 24, 689-713.
King, N., & Anderson, N. (1995). Innovation and change in organizations. London & New York: Routledge.
King, W. R. (1978). Strategic planning for management information systems. MIS Quart, 2(1), 27-37.
Kingdon, J. (1984). Agendas, alternatives and public choices. Boston, MA: Little, Brown.
Klein, K. J., & Sorra, J. S. (1996). The challenge of innovation implementation. The Academy of Management Review, 21(4), 1055-1085.
Knight, S., & Burn, J. (2005). Developing a framework for assessing information quality on the World Wide Web. Information Science Journal, 8, 159-172.
Koch, P., & Hauknes, J. (2005). On innovation in the public sector-Today and beyond. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.104.3988&rep=rep1&type=pdf
Krause, R. M. (2010). Policy innovation, intergovernmental relations, and the adoption of climate protection initiatives by U. S. Cities. Journal of Urban Affairs, 33(1), 163-175.
Kroenke, M. D. (1992). Management information systems. New York: McGraw-Hill.
Lee, C. K., & Strang, D. (2006). The international diffusion of public-sector downsizing: Network emulation and theory-driven learning. International Organization, 60(4), 883.
Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002). AIMQ: A methodology for information quality assessment. Information & Management, 42(2), 133-146.
Leitch, R. A., & Davis, K. R. (1992). Accounting information systems: Theory and practice. Englewood Cliffs, NJ: Prentice-Hall.
Leonard-Barton, D. (1992). Core capabilities and core rigidities: A paradox in managing new product development. Strategic Management Journal, 13(2), 111-125.
Levin, I. P., Huneke, M. E., & Jasper, J. D. (2000). Information processing at successive stages of decision making: Need for cognition and inclusion-exclusion effects. Organizational Behavior and Human Decision Processes, 82(2), 171-193.
Levitt, B., & March, J. G. (1988). Organizational learning. In W. R. Scott (Eds.), Annual review of sociology, 14 (pp. 319-340). Greenwich, CT: JAI Press.
Liao, S. H. (2002). Problem solving and knowledge inertia. Expert Systems with Applications, 22, 21-31.
Liebowitz, J. (2006). Strategic intelligence: Business intelligence, competitive intelligence, and knowledge management. New York: Auerbach Publications.
Lightner, N. J., & Eastman, C. (2002). User preference for product information in remote purchase environment. Journal of Electronic Commerce Research, 3(3), 174-186.
Liu, S. F., Duffy, A. H. B., Whitfield, R. I., & Boyle, I. M. (2010). Integration of decision support systems to improve decision support performance. Knowledge and Information System, 22(3), 261-286.
Loch, C. H., & Huberman, B. A. (1999). A punctuated-equilibrium model of technology diffusion. Management Science, 45(2), 160-177.
Lowendahl, B., & Revang, O. (1998). Challenges to existing strategy theory in apostindustrial society. Strategic Management Journal, 19, 755-773.
Lowi, T. (1963). Toward functionalism in political science: The case of innovation in party systems. The American Political Science Review, 57, 570-583.
Mahajan, V., Muller, E., & Bass, F. M. (1990). New product diffusion models in marketing: A review and directions for research. Journal of Marketing, 54(1), 1-26.
Mahony, M. J., & Wozniak, H. (2005). Diffusion of innovation and professional development in eLearning: The CHS eLearning resource case study. Paper presented at the 17th Biennial Conference of the Open and Distance Learning Association of Australia (ODLAA), Adelaide, Australia,
Majaro, S. (1988). The creative gap: Managing ideas for profit. London, England: Longman.
Mansfield, E. (1961). Technical change and the rate of imitation. Econometrica, 29, 741-766.
March, J. G. (1991). Exploration and exploitation in organizational learning. Orgnization Science, 2(1), 71-87.
March, J. G. (2006). Rationality, foolishness, and adaptive intelligence. Strategic Management Journal, 27, 201-214.
March, J. G., & Simon, A. (1993). Organization. New York, NY: Wiley.
Marchand, D. (1990). Managing information quality. In I. Wormell, G. Taylor & A. Los (Eds.), Information quality: Definitions and dimensions (pp. 7-17). Los Angeles, CA: Taylor Graham,.
Martins, E. C., & Terblanche, F. (2003). Building organizational culture that stimulates creativity and innovation. European Journal of Innovation Management, 6(1), 64-74.
Martocchio, J. J. (1994). The effects of absence culture on individual absence. Human Relations, 47(3), 243-262.
McGonagle, J. J., & Vella, C. M. (2003). The manager’s guide to competitive intelligence. Westport, CT: Praeger Publishers.
Mcgrath, C., & Zell, D. (2001). The future of innovation diffusion research and its implications for management: A conversation with Everett Rogers. Journal of Management Inquiry, 10(4), 386-391.
McKinney, V., Yoon, K., & Zahedi, F. (2002). The Measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13(3), 296-315.
Meyer, A. D., & Goes, J. B. (1988). Organizational assimilation of innovations: A multilevel contextual analysis. Academy of Management Journal, 31, 897-923.
Michman, R. D. (1989). Why forecast for the long term? Journal of Business Strategy, 10(5), 36-40.
Miller, D., & Friesen, P. H. (1982). Innovation in conservative and entrepreneurial firms: Two models of strategic momentum. Strategic Management Journal, 3, 1-25.
Miller, D., & Shamsie, J. (1996). The resource-based view of the firm in two environments: the Hollywood film studios from 1936 to 1965. Academy of Management Journal, 39(3), 519-543.
Moch, M., & Morse, E. V. (1977). Size, centralization and organizational adaption of innovations. American Sociological Review, 42, 416-725.
Mohr, L. B. (1982). Explaining organizational behavior: The limits and possibilities of theory and research. San Francisco, CA: Jossey-Bass,.
Moore, M. H., & Hartley, J. (2008). Innovations in governance. Public Management Review, 10(1), 3-20.
Moorhead, G., & Griffin, R. (1998). Organizational behavior (5th ed.). Boston, MA: Houghton Mifflin Co.
Munson, F. C., & Pelz, D. C. (1982). Innovating in organizations: A conceptual framework. Ann Arbor, MI: Institute for Social Research, University of Michigan.
Narchal, R. M., Kittappa, K., & Bhattacharya, P. (1987). An environmental scanning system for business planning. Long Range Planning, 20(6), 96-105.
Neal, M. A. (1965). Values and interests in social change. Englewood Cliffs, NJ: Prentice-Hall.
Nelson, R. R., & Winter, S. G. (1982). An evolutionary theory of economics change. Cambridge, MA: Harvard University Press.
Nemati, H. R., Steiger, D. M., Iyer, L. S., & Herschel, R. T. (2002). Knowledge warehouse: An architectural integration of knowledge management, decision support, artificial intelligence and data warehousing. Decision Support Systems, 33(2), 143-161.
Newman, J., Rainea, J., & Skelchera, C. (2001). Developments: Transforming local government: Innovation and modernization. Public Money & Management, 21(2), 61-68.
Newman, M., & Robey, D. (1992). A social process model of user-analyst relationships. MIS Quarterly, 16(2), 249-266
Nolan, R. L. (1979). Managing the crises in data processing. Harvard Bus. Rev., 57(2) 115-126.
Nord, W. R. & Tucker, S. (1987). Implementing routine and radical innovations. D. C.: Lexington Books.
O’Brien, J. A., & Karakas, G. M. (2006). Introduction to information systems. Chicago, IL: Irwin Book Team.
O’Connor, A., Roos, G., & Vickers-Willis, T. (2007). Evaluating an Australian public policy organization’s innovation capacity. European Journal of Innovation Management, 10(4), 532-558.
O′Callaghan, R., Kaufmann, P. J., & Konsynski, B. R. (1992). Adoption correlates and share effects of electronic data interchange systems in marketing channels. Journal of Marketing, 56(2), 45-56.
Oldham, G. R., & Hackman, J. R. (1981). Relationships between organizational structure and employee reactions: Comparing alternative frameworks. Administrative Science Quarterly, 26(1), 66-83.
Olsen, J. B., & Eadie, D. C. (1982). The game plan: Governance with foresight. Washington, D. C.: Council of State Planning Agencies.
Orlikowski, W. J. (1992). The duality of technology: Rethinking the concept of technology in organizations. Organization Science, 3(3), 398-427.
Osborne, S. P., & Brown, K. (2005). Managing change and innovation in public service organizations. London: Routledge.
Park, C. H., & Kim, Y. G. (2006). The effect of information satisfaction and relational benefit on consumers’ online shopping site commitments. Journal of Electronic Commerce in Organizations, 4(1), 70-90.
Park, S., Bolton, G. E., Rothrock, L., & Brosig, J. (2010). Towards an interdisciplinary perspective of training intervention for negotiations: Developing strategic negotiation support contents. Decision Support Systems, 49(2), 213-221.
Parker, D. (2000). Can government CI Bolster Regional Competitiveness? Competitive Intelligence Review, 11(4), 57-64 .
Pelz, D. C. (1985). Innovation complexity and the sequence of innovating stages. Knowledge: Creation, Diffusion, Utilization, 6(3), 261-291.
Pereira, R. E. (2002). An adopter-centered approach to understanding adoption of innovations. European Journal of Innovation Management, 5(1), 40-49.
Pettigrew, A. M. (1990). Longitudinal field research on change: Theory and practice. Organization Science, 1(3), 267-292.
Pfeffer, J. (1981). Power in organizations. Boston, MA: Pitman,.
Pierce, J. L., & Delbecq, A. L. (1977). Organizational structure, individual attitudes and innov ation. Academy of Management Review, 2(1), 27-37.
Porter, M. E. (1990). Competitive advantage of nations. New York, NY: Free Press.
Power, D. J. (2003). A brief history of decision support systems. Retrieved from http://dssresources.com/history/dsshistory.html.
Premkumar, G., Ramamurthy, K., & Nilakanta, S. (1994). Implementation of electronic data interchange. Journal of Management Information System, 11(2), 157-186.
Prescott, J. E. (1995). The evolution of competitive intelligence. International Review of Strategic Management, 6(1), 37-56.
Putt, A. D., & Springer, J. F. (1989). Policy research: Concepts, methods, and applications. Englewood Cliffs, NJ: Prentice-Hall.
Rackoff, N., Wiseman, C., & Ulrich, W. A. (1985). Information systems for competitive advantage: Implementation of planning process. MIS Quart, 9(4), 285-294.
Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS Success Models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50-69.
Raman, V. V. R., & Tewari, V. (2011). Data-mining and soft-computing: Basis for technology-based management. Retrieved from http://www.trikal.org/ictbm11/pdf/SoftwareIssues/D1342-done.pdf.
Reddy, P. (2009). Globalization of technology: Issues in technology transfer and technological capability building. In P. Reddy (Ed.), Globalization of technology: Encyclopedia of life support systems (pp.1-23). Paris: EOLSS.
Redman, T. C. (1996). Data quality for the information age. MA: Artech House Inc.
Redmond, W. H. (2003). Innovation, diffusion, and institutional change. Journal of Economic Issues, 37(3), 665- 679.
Riemenschneider, C. K., Harrison, D. A., & Mykytyn, P. P. (2003). Understanding it adoption decisions in small business: Integrating current theories. Information and Management, 40(4), 269-285.
Robbins, S. P. (1990). Organization theory: Structure design and applications. Englewood Cliffs, NJ: Prentice-Hall.
Robbins, S. P. (1996). Organization behavior: Concepts, controversies and applications. Englewood Cliffs, NJ: Prentice-Hall.
Robey, D., & Newman, M. (1996). Sequential patterns in information systems development: An application of a social process model. ACM Transactions on Information Systems, 14(1), 30-63.
Rogers, E. M. (1983). Diffusion of Innovations (3rd ed.). New York, NY: Free Press.
Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York, NY: Free Press.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, NY: Free Press.
Romeo, A. (1975). Inter-industry and inter-firm differences in the rate of diffusion of an innovation. The Review of Economics and Statistics, 57(3), 311-319
Rousseau, D. M. (1978). Characteristics of departments, positions, and individuals: Contexts for attitudes and behavior. Administrative Science Quarterly, 23(4), 521-540.
Russell, R. D. (1995). An investigation of some organizational correlates of corporate entrepreneurship: Toward a system model of organizational innovation. Entrepreneurship, Innovation, & Change, 4(4), 295-314.
Ryan, B., & Gross, N. C. (1943). The diffusion of hybrid seed corn in two Iowa communities. Rural Sociology, 8, 15-24.
Saarinen, T. (1996). An expanded instrument for evaluating information system success. Information & Management, 31(2), 103-118.
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26.
Saaty, T. L. (2003). Decision-making with the APH: Why is the principle eigenvector necessary. European Journal of Operational Research, 145(1), 85-91.
Sabherwal, R., Hirschheim, R., & Goles, T. (2001). The dynamics of alignment: Insights from a punctuated equilibrium model. Organization Science, 12(2), 179-197.
Schumpeter, J. A. (1934). The theory of economic development. Cambridge, MA: Harvard University Press.
SCIP (2014) About the Strategic and Competitive Intelligence Professionals-SCIP [website information]. Retrieved from https://www.scip.org/AboutSCIP.php
Scott, C., & Westbrook, R. (1991). New strategic tools for supply chain management. International Journal of Physical Distribution & Logistics Management, 21(1), 23-33.
Scott, W. R., (1992). Organizations, rational, natural and open systems. Englewood Cliffs, NJ: Prentice-Hall.
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean Model of IS success. Information Systems Research, 8(3), 240-253.
Seddon, P. B., & Kiew, M. Y. (1994). A partial test and development of the DeLone and McLean Model of IS Success. Proceedings of the International Conference on Information Systems, 99-110. Vancouver, Canada.
Senge, P. M. (1990). The fifth discipline: The art and practice of the learning organization. New York, NY: Currency Doubleday.
Shane, S. (2000). Prior knowledge and the discovery of entrepreneurial opportunity. Organization Science, 11(4), 448-469.
Shanks, G., & Corbitt, B. (1999). Understanding data quality: Social and cultural aspects. Proceedings of the 10th Australasian Conference on Information Systems, 785.
Shim, J. P., Warkentin, M., Courtney, J. F., Power, D. J., Sharda, R., & Carlsson, C. (2002). Past, present, and future of decision support technology. Decision Support Systems, 33(2), 111-126.
Shobha, S. D., & Van de Ven, A. H. (2000). Competing with new product technologies: A process model of strategy. Management Science, 46(10), 1300-1316.
Silverberg, G., Dosi, G., & Orsenigo, L. (1988). Innovation, diversity, and diffusion: A self-organization model. The Economic Journal, 98(393), 1032-1054.
Simon, H. A. (1997). Administrative behavior: A study of decision-making processes in administrative organization (4th ed.). New York, NY: Free Press.
Simon, H. A. (1957). Administrative behavior: A study of decision-making processes in administrative organization (2nd ed.). New York, NY: Free Press.
Sprague, R. H. Jr., & Carlson, E. D. (1982). Building effective decision support systems. Englewood Cliffs, NJ: Prentice-Hall.
Strang, D., & Soule, S. A. (1998). Diffusion in organizations and social movements: From hybrid corn to poison pills. Annual Review of Sociology, 24, 265-290.
Sultan, F., & Chan, L. (2000). The adoption of new technology: The case of object- oriented computing in software companies. IEEE Transactions on Engineering Management, 47(1), 106-126.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85–92.
Szulanski, G. (1996). Exploring internal stickiness: Impediments to the transfer of best practices within the firm. Strategic Management Journal, 17, 27-43.
Tata, J., & Prasad, S. (2004). Team self-management, organizational structure and judgments of team effectiveness. Journal of Managerial Issues, 16(2), 248-266.
Thompson, J. D. (1967). Organizations in action: Social science bases of administrative theory. New York, NY: McGraw-Hill.
Thompson, V. A. (1965). Bureaucracy and innovation. Administrative Science Quarterly, 10, 1-20.
Thong, J. Y. L. (1999). An integrated model of information systems adoption in small business. Journal of Management Information System, 15(4), 187-214.
Tidd, J., Bessant, J., & Pavitt, K. (2001). Managing innovation: Integrating technological market and organizational change. New York, NY: John Wiley & Sons, Inc.
Tornatzky, L. G., & Fleischer, M. (1990). The process of technological innovation. Lexington, MA: Lexington Books.
Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 29(1), 28-45.
Trott, P. (2008). Innovation management and new product development (4th ed). Boston, England: Pearson Education Ltd.
Tsoukias, A. (2008). From decision theory to decision aiding methodology. European Journal of Operational Research, 187(1), 138-161.
Tushman, M. L., & Anderson, P. (1986). Technologies discontinuities and organizational environment. Administrative Science Quarterly, 31(3), 435-465.
Tushman, M. L., Newman, W. H., & Romanelli, E. (1986). Convergence and upheaval: Managing the unsteady pace of organizational evolution. California Management Review, 29(1), 86-113.
Tyson, K. W. M. (1990). Competitor intelligence manual and guide: Gathering, analyzing, and using business intelligence. Englewood Cliffs, NJ: Prentice-Hall.
UCLA Department Epidemiology (2014). John Snow. Retrieved September 01, 2014, from http://www.ph.ucla.edu/epi/snow.html。
Utterback, J. M., & Abernathy, W. J. (1975). A dynamic model of product and process innovation. Omega, 3, 639-656.
Uys, P. (2007). Enterprise-wide technological transformation in higher education: The LASO model. The International Journal of Educational Management, 21(3), 238-253.
Valente, T. W. (1996). Social network threshold in the diffusion of innovations. Social Networks, 18, 69-89.
Van de Ven, A. H., & Poole, M. S. (1995). Explaining development and change in organizations. Acad. Management Rev., 20(3), 510-540.
Van de Ven, A. H., & Rhonda, M. E. (2004). Event- and outcome-driven explanations of entrepreneurship. Journal of Business Venturing, 19, 343-358.
Van de Ven, A. H., Angle, H. L., & Poole, M. S. (Ed.). (2000). Research on the management of innovation: The Minnesota studies. Australia & New Zealand: Oxford University Press.
Van de Ven, A. H., Polley, D. E., & Venkataraman, S. (1999). The innovation journey. Australia & New Zealand: Oxford University Press.
Vedder, R., Vanecek, M., Guynes, C., & Cappel, J. (1999). CEO and CIO perspectives on competitive intelligence. Association for computing machinery. Communications of the ACM, 42(8), 108-116.
Von Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behavior. New York, NY: Wiley.
Waarts, E., van Evedingen, Y. M., & van Hillegersberg, J. (2002). The dynamics of factors affecting adoption of innovations. The Journal of Product Innovation Management, 19, 412-423.
Walker, R. M. (2003). Evidence on the management of public services innovation. Public Money & Management, 23(2), 93-102.
Walker, R. M. (2006). Innovation type and diffusion: An empirical analysis of local government. Public Administration, 84(2), 311-335.
Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5-34.
Weber, M. (1987). Decision making with incomplete information. European Journal of Operational Research, 28(1), 44-57.
Wejnert, B. (2002). Integrating models of diffusion of innovations: A conceptual framework. Annual Review of Sociology, 28, 297-326.
Wellish, H. (1972). From information science to informatics: A terminological investigation. Journal of Librarianship, 4(3), 158-187.
Westphal, J. D., Gulati, R., & Shortell, S. M. (1997). Customization and conformity? An institutional and network perspective on the content and consequence of TQM adoption. Administrative Science Quarterly, 42, 366-394.
Windrum, P. (2008). Innovation and entrepreneurship in public services. In P. Windrum & P. Koch (Eds). Innovation In public sector services: Entrepreneurship, creativity and management (pp. 3-19). U.K.: Edward Elgar Publishing Limited.
Wolfe, R. A. (1994). Organizational innovation: Review, critique and suggested research direction. Journal of Management Studies, 31(3), 405-430.
Wormell, I. (1990). Information quality: Definitions and dimensions. Los Angeles, CA: Taylor Graham.
Zaltman, G., Duncan, R., & Holbek, J. (1973). Innovations and organizations. New York, NY: Wiley.
Ziefle, M., & Rocker, C. (2011). Human-centered design of e-health technologies: Concepts, methods and applications. Germany: RWTH Aachen University.
指導教授 薛義誠 審核日期 2014-12-24
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