簡易檢索 / 詳目顯示

研究生: 洪良佶
Hung, Liang-Chi
論文名稱: 顧客需求及出貨服務系統接受度之研究-以台灣I液晶面板公司為例
The Adoption of Customer Demand and Delivery Service System (CDDS) - An Empirical Investigation of I TFT-LCD Company in Taiwan
指導教授: 呂錦山
Lu, Chin-Shan
學位類別: 碩士
Master
系所名稱: 管理學院 - 高階管理碩士在職專班(EMBA)
Executive Master of Business Administration (EMBA)
論文出版年: 2013
畢業學年度: 101
語文別: 中文
論文頁數: 121
中文關鍵詞: 科技接受模式創新擴散理論結構方程模式液晶面板顧客需求及出貨服務系統
外文關鍵詞: Technology acceptance model, Innovation diffusion theory, Structural equation model, Thin firm transistor-liquid crystal display, Customer demand and delivery service system
相關次數: 點閱:173下載:5
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究目的為探討液晶面板產業I公司員工對於『顧客需求及出貨服務系統』(CDDS)使用上的態度及意願接受程度,藉由員工認知的角度,探討系統實際使用者對於使用『顧客需求及出貨服務系統』(CDDS)系統時,受到影響各使用態度及意願各構面之關係並加以驗證。
    本研究以問卷調查方式進行,主要以台灣I液晶面板公司內部實際使用過『顧客需求及出貨服務系統』CDDS系統各部門員工作為問卷發放對象,有效回收樣本共274份。本研究模式採用科技接受模型(TAM)作為基礎,提出了CDDS系統接受模式,並以方程結構模式(SEM)檢驗「創新擴散」、「認知易用性」、「認知有用性」與使用者「態度」及「意願」等因素之間的關係。
    結果顯示,「創新擴散」與「認知易用性」及「認知有用性」存在正向關聯,本研究結果也顯示「認知易用性」及「認知有用性」與CDDS使用「態度」有顯著性的正向關係影響。本研究顯示「認知有用性」與CDDS使用「態度」與CDDS使用「意願」有顯著性的正向關係影響。最後,分別就學術及實務方面討論本研究成果的意涵。

    The objective of this study is to develop and empirically test a model on the adoption of Customer Demand and Delivery System (CDDS) in I TFT-LCD manufacturing company in Taiwan.Data collection was based on a questionnaire survey from 274 employees. A structural equation modeling (SEM) was conducted to test the relationships among compatibility, innovation diffusion, organizational characteristics, environmental characteristics, perceived usefulness, perceived ease of use, attitude towards the CDDS, and use intention. Results indicated that innovation diffusion was positively associated with perceived usefulness and perceived ease of use. The research findings also indicate that perceived usefulness and perceived ease of use positively influence on attitude toward the CDDS. Specifically, this study found that perceived usefulness and attitude toward to CDDS have a positive influence on use intention. Theoretical and practical implications of the research findings are discussed.

    摘要 I Abstract II 誌謝 III 目錄 IV 表目錄 VI 圖目錄 VIII 第 一 章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 1 1.3 研究範圍與限制 4 1.4 研究流程與架構 5 第 二 章 文獻回顧 7 2.1 液晶面板產業概況 7 2.1.1液晶面板製程介紹 7 2.1.2 液晶面板產業發展介紹 11 2.1.3 液晶面板產業供應鏈介紹 20 2.2 液晶面板產業I公司『 顧客需求及出貨服務系統 』介紹 26 2.2.1 液晶面板I公司『 顧客需求及出貨服務系統 』概況說明 26 2.2.2 液精面板I公司『 顧客需求及出貨服務系統 』系統架構 29 2.3 科技接受模式理論 34 2.3.1 科技接受模式定義 34 2.3.2 科技接受模式的延伸 40 2.3.3 創新擴散理論 41 第 三 章 研究方法 45 3.1 研究架構與假設 45 3.1.1研究架構 45 3.1.2 研究假設 46 3.2研究變項之操作型定義與衡量 50 3.3 研究設計 54 3.3.1 問卷設計與衡量尺度 54 3.3.2 問卷設計 54 3.3.3 問卷內容 56 3.4 資料分析方法及應用 58 3.4.1 樣本回收之無回應偏差檢定 (Non-Response Bias Test) 58 3.4.2 敘述性統計分析(Descriptive Statistics Analysis) 58 3.4.3 因素分析 (Factor Analysis) 59 3.4.4 相關分析(Correlation Analysis) 59 3.4.5 信度與效度分析(Reliability and Validity Analysis) 60 3.4.6 變異數分析(Analysis of Variance, ANOVA) 61 3.4.7 驗證性因素分析(Confirmatory Factor Analysis, CFA) 61 3.4.8 結構方程模式(Structural Equation Modeling, SEM) 62 3.5 小結 64 第 四 章 液晶面板I公司員工對顧客需求及出貨服務系統接受模式分析 66 4.1 回收樣本之敘述性統計 66 4.1.1問卷回收情形 66 4.1.2樣本無回應偏差檢定(Non-response Bias Test) 67 4.2 CDDS功能之重要性、認知態度與採用意願分析 72 4.2.1液晶面板I公司對CDDS系統功能重要性分析 72 4.2.2液晶面板I公司員工員工對CDDS系統態度與採用意願敘述統計分析 73 4.2.3液晶面板I公司員工對各因素問項整體排名同意度敘述統計 74 4.3液晶面板I公司員工創新特質、組織特質、環境特質與採用CDDS系統態度與意願因素分析 76 4.3.1 員工認知問項因素分析與信度分析 76 4.4樣本特性與因素構面之變異數分析 83 4.5 相關分析 86 4.6 驗證性因素分析(Confirmatory Factor Analysis) 88 4.6.1 驗證性因素分析與校估 89 4.6.2 收斂效度(Convergent Validity) 91 4.6.3 區別效度(Discriminant Validity) 93 4.7 結構方程模式分析結果 94 4.7.1 結構方程模式(SEM)建立 94 4.7.2 結構方程模式分析與校正 96 4.7.3 結構方程模式假設驗證 100 4.8 小結 102 第 五 章 結論興建議 104 5.1結論 104 5.2建議 107 參考文獻 110

    中文部份
    1. Display Search 平面顯示器研究機構:http://www.displaysearch.com,民國96年。
    2. Display Search平面顯示器研究機構:http://www.displaysearch.com,民國100年。
    3. ITIS「TFT-LCD產業之競合與經營型態」研究報告,工業研究院,民國91年。
    4. Digitimes電子時報,http://www.digitimes.com.tw
    5. 工研院經資中心 IT IS 資料庫:http://www.itis.org.tw/indbank/index.htm1,民國101年。
    6. 台灣區電機電子工業同業公會電子報,http://www.teema.org.tw
    7. 王淑珍,「台灣邁向液晶王國之秘」,初版,台北:中國生產力中心,民國92年。
    8. 朱斌妤、黃仟文、翁少白,「以科技接受模式探討即時交通資訊系統之使用意願」,電子商務學報,第10卷,第1期,民國97年,頁173~200。
    9. 江志卿,「網際網路EDI與專屬網路EDI在採用、擴展及對組織衝擊層面之比較研究」,國立中正大學資訊管理研究所碩士論文,民國89年。
    10. 吳亞馨、朱素玥、方文昌,「網站購物信任與科技接受模式之實證研究」,資訊管理學報,第15卷,第1期,民國97年,頁123~152。
    11. 吳萬益,「企業研究方法」,二版,台北:華泰書局,民國94年。
    12. 吳顯忠,「商業智慧系統導入與公司營運績效之相關性」,東海大學會計學系碩士論文,民國96年。
    13. 李珮如,「影響國內中小企業採用企業資源規劃系統之關鍵因素」,國立中正大學資訊管理學系碩士論文,民國92年。
    14. 李維中「台灣TFT-LCD產業未來發展策略之研究」,國立交通大學經營管理研究所碩士論文,民國95年。
    15. 周立軒,「網誌的使用者與使用行為之研究」,元智大學資訊傳播研究所碩士論文,民國94年。
    16. 林亭汝、沈永祺、洪仁財,「台灣TFT-LCD業經營績效之探討:以S-C-P產業組織理論為基礎」,台灣企業績效學刊,Vo1.2,No.1,1-29,民國97年。
    17. 花英德,「以科技接受模式探討國小學童Moodle教學平台使用行為之研究-以資訊議題教材為例」,東海大學教育研究所碩士論文,民國97年。
    18. 邱馨儀、宋健生,「康寧:台灣面板廠當今全球一哥」。經濟日報,第A11版,民國95年,1月12日。
    19. 洪新原、梁定澎、張嘉銘,「科技接受模式之彙總研究」,資訊管理學報,第12卷,第4期,民國94年,頁211~234。
    20. 張力仁,「影響中小企業管理者導入電子商務因素之研究」,國立東華大學國際企業管理碩士論文,民國99年。
    21. 張紹勳,「研究方法」,台中:滄海書局,民國92年。
    22. 梁蕙芸,「零售服務業客戶關係管理系統委外建構模式之探討」,中央大學資訊管理學系碩士論文,民國91年。
    23. 陳孟功 ,「校園無線區域網路 (WLAN)科技接受模式 (TAM)之研究」,高師大工業科技教育所碩士論文,民國92年。
    24. 陳順宇,「多變量分析」,第四版,台北:華泰書局,民國94年。
    25. 陳順宇,「結構方程模式Amos操作」,初版,台北:心理出版社,民國96年。
    26. 陳寬裕、王正華,「結構方程模型分析實務AMOS的應用」,台北:五南圖書出版有限公司,民國99年。
    27. 黃芳銘,「社會科學統計方法學」,初版,台北:五南書局,民國93年。
    28. 群創光電股份有限公司,http://www.innolux.com
    29. 資策會資訊市場情報中心(MIC)http://www.mic.iii.org.tw
    30. 榮泰生,「SPSS與研究方法」,第二版,台北:五南圖書出版有限公司,民國98年。
    31. 蔡璧基, 「流程電子化與提升軟體開發績效關聯性之實證研究」,中原大學企業管理學系碩士論文,民國93年。
    32. 盧坤利,「台灣地區企業採用顧客關係管理系統之影響因素研究」,國立台灣大學商學研究所碩士論文,民國89年。
    33. 蘇郁琇,「台灣地區企業採用企業資源規劃系統(ERP)之影響因素研究」,國立台灣大學會計學研究所碩士論文,民國88年。

    英文部份
    1. Adams, D., Nelson, R.R., Todd, P., 1992. Perceived usefulness, ease of use and usage of information technology: a replication, MIS Quarterly, 16(2), 227-248.
    2. Agarwal, R., Prasad, J., 1998a. A conceptual and operational definition of personal innovativeness in the domain of information technology, Informaton systems research, 9(2), 204-215.
    3. Agarwal, R., Prasad, J., 1999. Are individual differences germane to the acceptance of new information technologies?. Decision Science, 361-391.
    4. Aladwani, Palvia, 2002. Developing and validating an instrument for measuring user- perceived web quality. Information and Management 39, 467-476.
    5. Armstrong, J.S., Overton, T.S., 1977. Estimating nonresponse bias in mail surveys, Journal of Marketing Research 14(3), 396-402.
    6. Bajaj, A., Nidumolu, S.R., 1998. A feedback model to understand information system usage, Information and Management, 33(4), 213-224.
    7. Bhattacherjee, A., 2001a. An empirical analysis of the antecedents of electronic commerce service continuance, Decision Support Systems, 32(2), 201-214.
    8. Bhattacherjee, A., 2001b. Understanding information systems continuance: an expectation-confirmation model, MIS Quarterly, 25(3), 351-370.
    9. Bingi, P., Sharma, M.K. and Godla, J., 1999. Critical issues affecting an ERP implementation, Information Systems Management 7-14.
    10. Busselle, R., Reagan, J., Pinkleton, B., and Jackson, K., 1999. Factors affecting Internet use in a saturated-access population, Telematics and Informatics 16(1/2), 45-58.
    11. Chau, P.Y.K., 1996. An empirical assessment of a modified technology acceptance model, Journal of Management Information Systems 13, 185-204.
    12. Chau, P.Y.K., 1996a. An empirical investigation on factors affecting the acceptance of case by systems developers, Information and Management, 30(6), 269-280.
    13. Chau, P.Y.K., 1996b. An empirical assessment of a modified technology acceptance model, Journal of Management Information Systems, 13(2), 185-204.
    14. Chau, P.Y.K., Hu, P.J.H., 2001. Information technology acceptance by individual professionals: a model comparison approach, Decision Science, 32(4), 699-719.
    15. Chau, P.Y.K., Hu, P.J.H., 2002a. Examining a model of information technology acceptance by individual professionals: an exploratory study, Journal of Management Information Systems, 191-229.
    16. Chau, P.Y.K., Hu, P.J.H., 2002b. Invesgating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories, Information and management, 39(4), 297-311.
    17. Chen, LD, Gillenson, M.L., Sherrell, DL, 2002. Enticing online consumers: an extended technology acceptance perspective, Information & Management 39(8), 705-719.
    18. Chen, LD, Gillenson, ML and Sherrell, DL, 2002. Enticing online consumers: an extended technology acceptance perspective. Information & Management 39(8), 705-719.
    19. Cooper, R., Zmud, R., 1990. Information technology implementation research: a technological diffusion approach, Management Science 36(2), 123-139.
    20. Cragg, P.B. and King M., 1978. Small-Firm computing: motivators and inhibitors, MIS Quarterly 17(1), 47-60.
    21. Davis, F.D., 1986. A technology acceptance model for empirically testing new end user information systems: theory and results. Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology
    22. Davis, F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319-340.
    23. Davis, F.D., Bagozzi, R.P., Warshaw, P.R., 1989. User acceptance of computer technology: a comparison of two theoretical models, Management Science, 35(8), 982-1003.
    24. DeLone, W. H., 1988. Determinants of success for computer usage in small business, MIS Quarterly 12(1), 51-61.
    25. Eastin, M.S., 2002. Dissusion of e-commerce: a analysis of the adoption of four e-commerce activities, Telematics and Informatics, 19, 251-267.
    26. Fink, D., 1998. Guidelines for the successful adoption of information technology in small and medium enterprises, International Journal of Information Management 18(4), 243-253.
    27. Fishbein, M.A., Ajenz, I., 1975. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading, M.A.
    28. Fornell, C., Larcker, D.F., 1981. Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research 18(1), 39-50.
    29. Gefen, D., Straub, D.W., 1997. Gender differences in the perception and use of e-mail: an extension to the technology acceptance model, MIS Quarterly, 21(4), 389-400.
    30. Hair, J. F., Black, W.C., Babin, B.J., Anderson, R.E., 2010. Multivariate Data Analysis, 7th edition, Prentice-Hall.
    31. Holland, C., Light, B., 1999. A critical success factors model for ERP implementation, IEEE Software 16(3), 30-36.
    32. Iacobucci, D., Churchill, G. A., 2010. Marketing Research: Methodological Foundation, 10th ed., The Dryden Press, New York.
    33. Igbaria, M., Zinatelli, N., Cragg, P.C., Cavaye, A.L.M., 1997. Personal Computing Acceptance Factors in Small Firms: a structural equation model, MIS Quarterly, 21(3), 279-305.
    34. Jackson, C.M., Chow, S., Leitch, R.A., 1997. Toward an understanding of the behavioral intention to use an information system, Decision Sciences, 28(2), 357-389.
    35. Karahanna, E., Straub, D.W., Chervany, N.L., 1999. Information technology adoption across time: a cross sectional comparison of pre-adoption and post-adoption beliefs, MIS Quarterly, 23(2), 183-213.
    36. Kwon, T.H., Zmud, R.W., 1987. Unifying the fragmented models of information systems implementation. In Critical Issues in Information Systems Research, R.J. Boland and R. A. Hirscheim (Ed.), John Wiley and Sons, New York, 227-251.
    37. Lambert, D.M., Harrington, T.C., 1990. Measuring nonresponse bias in customer service mail survey, Journal of Business Logistics, 11(2), 5-25.
    38. Leader, A.L., Maupin, D.J., Sena, M.P., Zhuang, Y., 2000. The technology acceptance model and the World Wide Web. Decision Support Systems, 29, 269-282.
    39. Lee, Y., Kozar, K.A., Larsen, K.R.T., 2003. The technology acceptance model: past, present, and future, Communications of the Association for Information Systems, 12, 752-780.
    40. Legris, P., Ingham, J., Collerette, P., 2003. Why do people use information technology? A critical review of the technology acceptance model, Information and Management, 40, 191-204.
    41. Liao S., Y. P. Shao, H. Wang, A. Chen, 1999. The adoption of virtual banking: An empirical study. International Journal of Information Management 19, 63-74.
    42. Lucas, H.C. and Spitler, V.K., 1999. Technology use and performance: A field study of broker workstations, Decision Sciences 30, 291-311.
    43. Lucas, H.C. Jr., Spitler, V.K., 2000. Implementation in a world of workstations and networks, Information and Management, 38(2), 119-128.
    44. Mathieson, K., 1991. Predicting user intentions: comparing the technology acceptance model with the theory ofplanned behavior, Information systems research, 2(3), 173-191.
    45. Michael Porter. (1980). Competitive Strategy Techniques for Analyzing Industries and Competitors.
    46. Moon, J.W., Kim, Y.G., 2001. Extending the TAM for a World-Wide-Web context, Information and Management, 38(4), 217-230.
    47. Moore, G.C., Benbasat, I., 1991. Development of an instrument to measure the perceptions of adoption an information technology innovation, Information Systems Research, 2(3), 192-222.
    48. Morris, M., Dillon, A., 1997. How user perceptions influence software use, IEEE Software 14(4), 58-65.
    49. Olson, J.R., Boyer, K.K., 2003. Factors influencing the utilization of internet purchasing in small organizations, Journal of Operations Management, 21, 225-245.
    50. Palvia, P., Means, D.B.; Jackson, W.M., 1994. Determinants of computing in very small businesses. Information and Management 27, 161-174.
    51. Premkumar, G. and Roberts, M., 1999. Adoption of new information technologies in rural small businesses, International Journal of Management Science 27, 467-484.
    52. Premkumar, G., and Ramamurthy, K., 1995. The role of inter-organizational and organizational factors on the decision mode for adoption of inter-organizational systems, Decision Sciences 26(3), 303-336.
    53. Rogers, E. M., 1995. Diffusion of Innovations, 4thEd, New York: The Free Press.
    54. Rogers, E.M., 1983. Diffusion of Innovations-fourth edition, New York London Toronto Sydney Tokyo Singapore.
    55. Sabramanian, G.H., 1994. A replication of perceived usefulness and perceived ease of use measurement, Decision Sciences, 25(5/6), 863-874.
    56. Straub, D.W., Keil, M., Brenner, W.H., 1997. Testing the technology acceptance model across cultures: a three countries studies, Information and Management 33, 1-11.
    57. Succi, M.J., Walter, Z.D., 1999. Theory of user acceptance of information technologies: An examination of health care professionals. 32nd Hawaii International Conference on System Sciences, Maui: IEEE Computer Society.
    58. Szajna, B., 1996. Empirical Evaluation of the Revised Technology Acceptance Model, Management Science, 42(1), 85-92.
    59. Taylor, S., Todd, P.A., 1995b. Understanding information technology usage: a test of competing models, Information Systems Research, 6(4), 144-176.
    60. Thong, J.Y.L., 2001. Resource constrains and information systems implementation in Singaporean small business. OMEGA, The International Journal of Management Science 29, 143-156.
    61. Thong, J.Y.L., Yap C.S., Raman K.S., 1996. Top management support, external expertise and information systems implementation in small business, Information Systems Research 7(2), 248-267.
    62. Tornatzky, L.G., Klein, K.J. 1982. Innovation characteristics at innovation adoption-implementation: A meta-analysis, IEEE transactions On Engineering Management 29(1), 28-45.
    63. Van der Heijden, H., 2003. Factors influencing the usage of websites: the case of a generic portal in the Netherlands, Information and Management, 40(6), 541-549.
    64. Venkatesh, V., Davis, F.D., 2000. A theoretical extension of the technology acceptance model: four longitudinal field studies, Management Science, 46, 186-204.
    65. Venkatesh, V., Morris, M.G., 2000. Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior, MIS Quarterly, 24(1), 115-139.
    66. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D., 2003. User acceptance of information technology: Toward a unified view, MIS Quarterly, 27(3), 425-478.
    67. Warren, R. L., 1978. The community in America, 3rd edition NY: University Press of America.
    68. Wu, I.L., Wu, K.W., 2005. A hybrid technology acceptance approach for exploring e-CRM adoption in organizations, Behaviour & Information Technology, 24(4), 303-316.
    69. Yap, C.S, Soh, C.P.P., Raman K.S., 1992. Information systems success factors in small business, International Journal of Information Management 20(5/6), 597-609.
    70. Yap, C.S, Soh, C.P.P., Raman K.S., 1992. Information systems success factors in small business, International Journal of Information Management 20(5/6), 597-609.

    下載圖示 校內:2018-07-18公開
    校外:2018-07-18公開
    QR CODE