第五章 結論與建議
5.4 未來研究方向
受限於上述研究限制，有若干研究議題尚未深入分析，值得進行後續的研究 以詳細探討之。因此，以下針對往後的相關研究提出幾點建議：
(1)導入架構的嚴整性：
雖然本研究架構已得到驗證，具有某種程度之適用性，但若能再參考更多之文獻，
並訪問更多的廠商，應可整合出更具價值的導入架構。
(2)可將擴散過程量化：
如果等未來系統建置完成，並使用一段時間後，可針對現場使用人員來做問卷調 查，看RFID魚雷車車輛鑑別追蹤系統在上線後，有哪些變數影響這套系統的擴散 過程，做一個更有力和量化的研究，來和本研究做對照。
參考文獻
中文部份
刁建成/著(2005)，RFID原理與應用，全華科技
余森達(2007/03)，鐵水供需失衡之因應與魚雷車調度，技術與訓練，32卷1頁32-38 林計妙(2005)，以技術創新擴散觀點探討產業空間分佈現象 ─以台灣IC產業為例，
國立成功大學都市計劃學系碩士論文
周慧瑜(2002)，營建工程專案承包商風險處置決策模式之研究，國立台灣大學土木 工程學研究所未出版之博士論文
唐錦超譯(2006)，Everett M. Rogers著，創新的擴散，台北，遠流出版事業股份有 限公司
陳萬淇(1995)，個案研究法，台北市：華泰書局
張棱衡(2003)，以創新擴散模型分析知識管理機制導入之研究—以高科技產業為 例，國立臺北大學資訊管理所碩士論文
葉珠娟、江佳純譯，中原晃司、日高昇治、高橋成文、仁木晶/合著(2005)，RFID 是啥?，向上出版社
尚容安譯(2001)，Yin R. K.，Case Study Research，Baker & Tayl，個案研究，弘智 文化
網路資料部份
行政院科技顧問小組、經濟部無線射頻識別(RFID)公領域應用推動辦公室，
http://rfid.more.org.tw/edm/ver01_b.html
鼎升數位科技股份有限公司 D&S Digital Technology co.,Ltd，
http://www.dands.com.tw/tw/news_list11.htm
經濟部ITIS 產業資訊服務網，http://www.itis.org.tw 中鋼公司，http://www.csc.com.tw/index.asp
http://www.cio.com/archive/101501/tomorrow.html
美商Transcore公司，http://www.transcore.com/index.html
英文部份
Aiken, M. and Hage, J. (1996)“Organizational Alienation: A Comparative Analysis”, American Sociological Review, Vol. 31, No. 4 , pp. 497-507
“Radio Frequency Identification (RFID) White Paper.” (2001) , Accenture
Anderson, James C., Thomson, B. L. and Wymstra F. (2000), “Combining value and price to make purchase decisions in business markets,” International Journal of Research in Marketing, 17, pp.307-329.
Bagozzi, R. P. and Yi, Y. (1988), “On the evaluation of structural equation models,”
Academy of Marking Science, 16, pp. 76-94.
Bagozzi, R. P. (1982), “A field investigation of causal relations among cognitions, affect, intentions and behavior,” Journal of Marketing Research, 19(11), pp. 562-584.
Batz, F. J., Janssen, W. and Peters,k. J. (2003), “Prediction technology adoption to improve research priority –setting,” Agricultural Economics, 28, pp. 151-164.
Batz, F. J., Peters, K. J. and Janssen, W. (1999), “The influence of technology characteristics on the rate and speed of adoption,” Agricultural Economics, 21, pp.
121-130.
Bell, B. L. (1983) , “Forecasting Sales of New Contingent Products: An Application to the Compact Disc Market” , Journal of Product Innovation Management,Vol.
4,pp.243-255.
Benbasat, I. , Goldstein,R.W. and Mead,G. “Empirical research in information systems:
The practice of relevance,” MIS Quarterly, Mar 1999. Vol. 23, Iss. 1,pp. 3-16 Boer, H. and During, W. E. (2001), “Innovation, what innovation? A
comparison between product, process and organizational innovation,” Int. J.
Technology Management, 22, 1/2/3, pp.83-107.
Bradford, M. (2001), “The Implementation of Enterprise Resource Planning: An Innovation Diffusion Approach,” unpublished Ph.D. dissertation, University of Tennessee.
Buckley, Y. (1976) , "High Technology Organization-what it is, what it isn't,"
International Journal of Technology Management, Vol. 13, No. 2,pp.179-195 Damanpour, F. (1991), “Organizational innovation: A meta-analysis of effects of determinants and moderators,” Academy of Management Journal, 34, pp. 555-590.
Damanpour, F. (1996), “Bureaucracy and innovation revisited: Effects of
contingency factors, industrial sectors, and innovation characteristics,” The Journal of High Technology Management Research, 7, (2), pp. 149-173.
Damanpour, F. and Gopalakrishnan, S., (1998), “Theories of organizational structure and innovation adoption: the role of environmental change,” Journal of Engineering and Technology Management, 15, pp. 1-24.
Damanpour, F. and Gopalakrishnan, S., (2000), “The impact of organizational context on innovation adoption incommercial banks,” Engineering Management, IEEE Transactions on, 47(1), pp. 14-25
Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technologies,” MIS Quarterly 13(3), pp. 319–341.
Davis, F. D., and Bagozzi, R.P. (1989). “User acceptance of computer technology: A comparison of two theoretical models,” Management Science. 35(8), pp. 982-1003.
Davis, F.D, Jr., R. P., Bagozzi, P. R. and Warshaw , F.B. (1989). “User acceptance of computer technology: a comparison of two theoretical models,” Management Science.
35(8), pp. 982-1003.
Dewan, S. , Steven M.C. and Min,C-k (1998), “Firm characteristics
and investments in information technology: Scale and scope effects,” Information Systems Research, 9, (3), pp. 219-232.
Dishaw, M. T., and Strong, D. M. (1999), “Extending the technology acceptance model with task-technology fit constructs,” Information and Management, 36(1), pp. 9-21.
Dunphy, J.(1995)”Knowledge Management: What every information professional should know” Information Management Journal, 34(3), pp.10-16
Eder, L. B. and Igbaria,M. (2001), “Determinants of intranet diffusion and infusion. The International Journal of Management Science, 29, pp. 23-242.
Fichman, R. G. & Kemerer, C. F. (1999), “The illusory diffusion of
innovation:An examination of assimilation gaps,” Information Systems Research, 10,(3), pp. 255-275.
Flanagin, A. J. (2000), “Social pressures on organizational website adoption,”
Human Communication Research, 26,(4), pp. 618-646.
Frambach R.T. and Schillewaert N. (2002), “Organizational innovation
adoption: A multi-level framework of determinants and opportunities for future research,” Journal of Business Research, 55, pp.163-176.
Gallivan M.J. (2001), “Organizational Adoption Assimilation of Complex
Technological Innovations: Development and Application of a New Framework,”
Advances in Information Systems, 32, (3), pp. 51-85.
Goodhue, D. L., Klein, B. D. and March, S. T. (2000), “User Evaluations of IS as Surrogates for Objective Performance,” Information and Management, 38, pp.
87-101.
Goodhue, D. L. (1998), “Development and Measurement Validity of a
Task-Technology Fit Instrument for User Evaluations of Information Systems,”
Decision Sciences, 29(1), pp. 105-138.
Goodhue, D. L., and Thompson, R. L. (1995), “Task-Technology Fit and Individual Performance,” MIS Quarterly, 19(2), pp. 213-236.
Goodhue, D.L. (1995), “Understanding User Evaluations of Information Systems,”
Management Science, 41(12), pp. 1827-1844.
Gopalakrishnan, S. and Damanpour, F. (2000), “The Impact of
Organizational Context on Innovation Adoption in Commercial Banks,” IEEE Transactions on Engineering Management, 47,(1), pp. 14-25.
Grover, V. and Goslar, M. D. (1993) “The Initiation, Adoption and Implementation of Telecommunications Technologies in U.S.,” Journal of Management Information Sustems, 10(1), Summer, pp.41-163.
Hailey, V. H. (2001), “Breaking the mould? Innovation as a strategy for
corporate renewal,” Journal of Human Resource Management, 12(7), pp. 1126-1140.
Harrison, S. L. (1988) , “Determinants of Innovative Durables Adoption an Empirical Study With Implications for Early Product Screening, ” Journal of Product Innovation Management, Vol. 5: 50-69.
Hair, J. F., Anderson, R. E.,Tatham, R. L.,and Black, W. C, (1998),”multivariate Data Analysis（5th ed.）,”Englewood Cliffs, NJ: Prentice-Hall.
Hoyer, S. (1997),“A framework for delivering value with knowledge management:
The AMS knowledge centers.” Information Strategy; Vol. 16, Summer, pp.27-36.
Igbaria, M. Z., N. Cragg, P. and Cavaye, A. (1997), “Personal computing acceptance factors in small firms: a structural equation model,” MIS Quarterly, September, pp. 279–302.
Jackson B. A. (1998).“Technology acquisition by terrorist groups: Threat assessment informed by lessons from private sector technology adoption.”Studies in Conflict &
Terrorism, 24, 183-213
Jensen R.(2003), “Innovative leadership: First-mover advantages in new product adoption,” Economic Theory, 21, pp. 97-116.
Kimberly, E.（1986）, “The psychological origins of perceived usefulness and ease-of-use.” Information & Management, 35, pp.237-250.
Kim S. (2002), “Firm characteristics influencing the extent of electronic billing adoption: an empirical study in the US telecommunication industry,”
Telematics and Informatics, 19, pp. 201-223.
LaRose, R. and Hoag, A. (1996). “Organizational adoptions of the internet and the clustering of innovation. ” Telematics and Informatics, 13, No.1, 49-61
Lal, K. (1999). “Determinants of the adoption of Information Technology: a case study of electrical and electronic goods manufacturing firms in India. ” Research Policy, 28, 667-680
Lederer, A. L., Maupin, D. J., Sena, M. P. and Zhuang, Y.(2000), “The
technology acceptance model and the World Wide Web,” Decision Support System, 29, pp. 269-282.
Lowry, G. (2002), “Modeling user acceptance of building management systems,”Automation in Construction, 11, pp. 695-705.
Mcafee, A. (2002), “The Impact of enterprise information technology adoption on operational performance: An empirical investigation,” Production and Operations Management, 11, (1), pp.33-53.
Mahajan, V. & Peterson, R. A. (1979) , “Innovation Diffusion in a Dynamic Potential Adopter Population, ” Management Science, 24 , pp,1589-1597.
McDade, S. R. , Oliva, T. A. and Pirsch, J. A. (2002), “The organizational adoption of high-technology product “for use” Effects of size, preferences, and radicalness of impact. Industrial Marketing Management, 31, pp. 441-456.
McGrath, C. and 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), pp. 386-391.
Mehrtens , J., Cragg , P. B. and Milla, A. M. (2001), “A model of Internet adoption by SMEs.” Information & Management, 39, pp.165-176.
Min, H. and Galle, W. P. (2003), “E-purchasing: profiles of adopters and nonadopters,” Industrial Marketing Management, 32, pp. 227-233.
Mille, D. & Grabtree, G. (1992). “Entrepreneurs and technology diffusion-How diffusion research can benefit from a greater understanding of entrepreneurship.”
Technology in Society, 22, 445-465
Nystorm , P. C., Ramamurthy , K. and Wilson , A. L. (2002), “Organizational context, climate and innovativeness: adoption of imaging technology,” Journal of Engineering and Technology Management Jet-M, 19, pp. 221-247.
O’Dell, C. S., Essaides, N., Jackson, C. and Grayson, Jr. (1998), “If only we knew what we know: the transfer of internal knowledge and best practice,” N.Y.: Free Press.
Olson, E.L.（ 1983 ）, “Consumer Perceptions Of Interpersonal Equity And Satisfaction in Transactions：A Field Survey Approach.”Journal of Marketing, 53, pp. 21-35.
Patterson , K. A., Grimm , C. M. and Corsi , T. M. (2003). “Adopting new
technologies for supply chain management,” Transportation Research Part E, 39, pp.
95-121.
Permala, A. and Scholliers, J., (2002), “New technologies for multimodal tracking and control Proceedings of 9th World,” Congress on Intelligent Transport Systems,
September, pp. 2084-2092.
Porter, M.E.(1985), “ Competitive Advantage: Creating and Sustaining Superior Performance, ” Free Press, New York City
Premkumar , G. and Roberts , M. (1999), “Adoption of new information
technologies in rural small business,” The International Journal of Management Science, 27, pp.467-484.
Robbins , S. P. and Coulter , M. (1999), Management, Prentice Hall Rogers Rogers, E.V., (1962), Diffusion of Innovations, the Free Press, New York.
Robertson, T. S. (1967), “The process of innovation and diffusion of innovation.”
Journal of Marketing, 36, pp.15-16.
Rogers, E.V., (1971), Diffusion of Innovations, 2nd Edition, the Free Press, New York.
Rogers, E.V., (1983), Diffusion of Innovations, 3rd Edition, the Free Press, New York.
Rogers, E.V., (1995), Diffusion of Innovations, 4th Edition, the Free Press, New York.
Rogers, E.V., (2003), Diffusion of Innovations, 5th Edition, the Free Press, New York.
Slkye , C. V., Lou , H. and Day , J. (2002), “The Impact of Perceived
Innovation Characteristics on Intention to Use Groupware,” Information Resource, Management Journal, 15, (1), pp.5-12.
Spanos Y. E. , Prastacos , G. P. and Poulymenakou , A. (2002), “The
relationship between information and communication technologies adoption and management,” Information & Management, 39, pp. 659-675.
Srinivasan , R. , Lilen , G. L. and Rangaswamy , A. (2002). “Technological Opportunism and Radical Technology Adoption: An Application to E-Business,”
Journal of Marketing, 66, July 2002, pp. 47-60.
Subramanian A. and Nilakanta, S. (1996), “Organizational Innovativeness Exploring the Relationship Between Organizational Determinants of Innovation, Types of
Innovations, and Measures of Organizational Performance,” Omega, Int. J. Mgnt Sci, 24(6), pp. 631-647.
Tang , S.-M. (2000), “An impact factor model of Intranet adoption: an
exploratory and empirical research,” The Journal of Systems and Software, 51, pp.
157-173.
Teng , J. T. C., Grover , V. and Guttler , W. (2002). “Information
technology innovations: General diffusion patterns and it’s relationships to innovation characteristics,” IEEE Transactions on Engineering Management, 49(1), pp. 13-27.
Teo , T. S.H., Lim , V. K.G. and Lai , R.Y.C. (1999), “Intrinsic and
extrinsic motivation in Internet usage,” The International Journal of Management Science, 27, pp. 25-37.
Tan, M. and Teo, T.S.H. (2000), “Factors influencing the adoption of Internet banking,” Journal of the Association for Information Systems. 1(5), pp. 1-42.
Thong , J. Y.L. (1999), “An integrated model of information systems adoption in small business,” Journal of Management Information Systems, 15, No.4, pp.187-214.
Van Horn (1973) , “Business Models for Electronic Markets,” Electronic Markets,Vol.
8, No. 2, , pp. 3-8
Venkatesh,V. and Davis, F.D. (2000), “A theoretical extension of the technology acceptance model: four longitudinal field studies,” Management Science 46(2),pp.
186–204.
Venkatesh,V.and Davis,F.D. (1996), “A model of the antecedents of perceived ease of use: development and test,” Decision Sciences 27（3）, pp. 451–481.
Vogel, R. and Wetherbe J.(1984) , “ Discontinuous Innovation and the New Product Development Process, ”Journal of Product Innovation Management Vol.15: 304-321.
Vollink , T. M. and Midden , C. J. H. (2002), “Innovating diffusion of
innovation” theory: Innovation characteristics and the intension of utility companies to adopt energy conservation interventions. Journal of Environmental Psychology, 22, pp. 333-344.
Williams , L. R., Magee , G. D. and Suzuki , Y. (1998), “A multidimensional view of EDI: testing the value of EDI participation to firms,” Journal of Business Logistics, 19(2), pp. 73-87.
Williams , L. R. & Rao , K. (1998), “Information Technology Adoption: Using Classical Adoption Models to Predict AEI Software Implementation,” Journal of Business Logistics, 19, pp. 1-16.
Wolfe, R.A. (1994), “Organizational Innovation: Review, Critique and Suggested Research Directions”, Journal of Management Studies, 31, (3), pp.405-443.
Yin, R. K.,( 1985 ),“Case Study Research: Design and Methods”, 1st edition, Sage publications
附錄：訪談摘要
訪談摘要（一）：
鼎升資訊科技股份有限公司 黃國欽經理 日期：2008/3/11
貴公司鈞鑒：
這是一份關於「RFID科技的創新擴散」的學術問卷，為學生提報碩士論文之實証 研究基礎。本研究之主要目的，在於藉由探討實務上公司導入RFID科技的過程，
以驗証理論架構之可行性。同時，亦期望經由與貴公司的深度訪談，能獲得您寶 貴的建議，以彌補本研究之不足。貴公司乃業界之翹楚，您的任何意見與指教，
將對本研究有莫大的幫助。懇請 貴公司能安排熟悉RFID系統導入過程的人員撥冗 接受訪談，對於您的熱心協助，謹向您致上十二萬分的謝意。
順頌 商祺
國立中山大學企業管理研究所 指導教授：盧淵源 博士 研 究 生：張銘志 敬啟
《認知階段》
Q1、請問貴公司考慮導入RFID系統的原因為何？
1. 企業環境因素：近年來各鋼鐵廠對於內部的製造流程都在尋求改善，而中 鋼在進行這項RFID魚雷車輛鑑別追蹤計畫之前，也參考過其他鋼廠的系統，像是 大陸的寶鋼，他們是用GPS定位，但由於GPS有以下缺點：
（１）鋼廠內部建築物、遮蔽物多，容易擋住GPS的信號。
（２）GPS的誤差範圍大約是３～５公尺，但鋼廠容許的誤差是３０～５０公分，
對於鋼鐵廠來說誤差過大。
由於以上因素，寶鋼最後也捨棄採用GPS系統，中鋼則轉而考慮感測器系統，但由 於環境高溫高熱和粉塵多，導致感測器時常故障，進而轉向參考RFID系統。
2. 產業特性因素：由於鋼鐵廠競爭激烈，降低成本和增加產能是必要的趨勢，
而魚雷車剛好是高爐和轉爐兩者間的輸送工具，如果能確實將車輛追蹤鑑別系統 作好，對於下游的產能勢必有較良好的提升。
3. 企業目標因素：改善目前車輛調度是由現場人員藉由手持對講機來和魚雷 車司機以及行控中心來做聯繫，藉由RFID系統的導入，使得行控人員能在控制室 就能確切知道車輛位置，使得魚雷車的調度能達到最佳化。
Q2、中鋼公司如何知道RFID系統的存在?
由鼎升數位科技公司的主動介紹來得知這套系統，藉由參考之前的案例和經 驗，決定由RFID系統來做先行的測試。
《說服階段》
Q3、請問貴公司在決定導入RFID系統之前，如何評估是否該進行此項專案？
1. 評估團隊方面：由規劃單位和現場作業單位的高階主管與規劃專案的工程 師做為評估團隊的成員，但實際評估是由專案工程師測試完後寫報告遞交主管，
然後由主管依報告內容來審核專案。
2. 評估方式方面：藉由事前的規劃，來預設會用到何種設備，然後作實地考 察，先將簡易的設備做安裝，進行小規模測試，然後再提出完整的企劃案，做更 進一步的小規模測試，然後再大規模的安裝、測試，最後才是實地運行。
《決策階段》
Q4、請問貴公司在決定導入RFID系統時，選擇何種導入方式？
1. 系統選擇 :由鼎升數位公司從市面上的RFID系統中，做比較和篩選，中鋼 公司在這方面並未參與選擇，最後鼎升數位公司選擇了美國的
1. 系統選擇 :由鼎升數位公司從市面上的RFID系統中，做比較和篩選，中鋼 公司在這方面並未參與選擇，最後鼎升數位公司選擇了美國的