淡江大學覺生紀念圖書館 (TKU Library)
進階搜尋


下載電子全文限經由淡江IP使用) 
系統識別號 U0002-1907202113503200
中文論文名稱 以創新接受程度及科技接受模式探討5G通訊技術使用者之行為意圖-個人涉入程度之調節作用
英文論文名稱 Exploring the Users’ Behavior Intentions of the 5G Technology Using Innovativeness and Technology Acceptance Model: The Moderating Effect of Personal Involvement
校院名稱 淡江大學
系所名稱(中) 企業管理學系碩士班
系所名稱(英) Department of Business Administration
學年度 109
學期 2
出版年 110
研究生中文姓名 黃譯鋒
研究生英文姓名 Yi-Feng Huang
學號 608610431
學位類別 碩士
語文別 中文
口試日期 2021-06-24
論文頁數 102頁
口試委員 指導教授-楊立人
共同指導教授-李雅婷
委員-顏敏仁
委員-方郁惠
委員-楊立人
中文關鍵字 5G  創新接受程度  科技接受模式  個人涉入程度  結構方程模型 
英文關鍵字 5G  Innovativeness  Technology Acceptance Model  Personal Involvement  Structural Equation Modeling 
學科別分類
中文摘要   隨著現今科技日趨成熟,任何的組織在面對快速變遷及全球化的競爭環境,唯有透過不斷的創新才能達成永續經營。而在科技與創新兩者相互結合之下,也產生了許多前所未見的商品與服務,使用者對於資料傳輸速率及品質的要求也相對提升,因而讓第五代通訊技術(5G)逐漸開始備受重視。

  過去有關於科技及創新之相關研究不乏許多新興科技及影響因素之探討,較少看見相關研究結合創新接受程度及科技接受模式,且目前仍尚未看見有學者將理論應用於5G環境,因此本研究欲探究創新接受程度及科技接受模式之間的關係,並加入個人涉入程度來探討之間的干擾效果。

  本研究採用SPSS 25.0及SPSS Amos 26.0統計軟體作為分析工具,以便利性抽樣之方式收集台灣各地區的通訊技術使用者作為研究樣本,並分別以敘述統計分析、信度分析、效度分析、相關性分析、結構方程模型及多群組路徑分析等統計方法進行實證分析,以驗證本研究所提出之各項假設。問卷發放期間為2021年2月中旬至3月初,共計兩週,最終回收之有效問卷為447份。

本研究結果如下:
1.創新接受程度部分子構面對於知覺有用性及知覺易用性具顯著正向之影響。
2.科技接受模式中各構面間大多呈現顯著正向之影響。
3.創新接受程度影響知覺有用及易用性時,個人涉入程度之干擾效果不顯著。
英文摘要 Based on strongly trends of today's technology, any organizations are facing rapidly changed and global competitive environment. Only through innovation can achieve sustainable development. Under the combination of technology and innovation, many invisible merchandises and services have been produced. The data transmission rate and quality have been improved due to users’ requirements keep increasing. Therefore, the 5G application has gradually began valuable.

The recent years, there are many research results of technology and innovation related to emerging technologies and influencing factors, but less to related research combines the innovativeness and the technology acceptance model, moreover still no scholars apply theories to the 5G application environment. Therefore, this research aims intends to explore the 5G application between the innovativeness and the technology acceptance model. In addition, this research plus personal involvement to explore the interference effects. 
In research aims, SPSS 25.0 and SPSS Amos 26.0 statistical software were based analysis, and collect communication technology users’ behavior intentions of Taiwan as a research sample by convenience sampling. Analysis of descriptive statistical, reliability, validity, correlation, structural equation models, multi-group path and other methods were applied to verify the hypotheses proposed in this research. The questionnaire are distributed from Mid-February 2021 till Early-March, both two weeks, recollected of 447 valid questionnaires.

The results of this case are as follows:
1.The aspects of innovativeness has a significant positive impact on the perceived usefulness and perceived ease of use.
2.Moreover the aspects in the technology acceptance model. The results of a significant positive impact.
3.When the innovativeness affects the perceived usefulness and perceived ease of use, the interference effects of the personal involvement is non-significant impact.
論文目次 目錄
目錄 I
表目錄 III
圖目錄 V
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 3
第三節 研究範圍 4
第四節 研究流程 4
第二章 文獻探討 6
第一節 創新 6
第二節 創新接受程度 11
第三節 科技接受模式 17
第四節 個人涉入程度 24
第五節 研究假設推論 27
第三章 研究方法 33
第一節 研究架構及假設 33
第二節 變數定義與問卷設計 35
第三節 研究樣本來源 40
第四節 資料分析方法 41
第四章 資料分析與研究結果 44
第一節 敘述統計分析 44
第二節 信度分析 47
第三節 效度分析 48
第四節 相關性分析 57
第五節 結構方程模型分析 60
第六節 研究假設驗證之結果 69
第七節 事後分析 71
第五章 結論與建議 75
第一節 研究結論 75
第二節 管理意涵 78
第三節 研究限制與建議 80
參考文獻 82
附錄 94

表目錄
表2-1創新之相關定義彙整表 7
表2-2技術創新類型 9
表2-3創新類型之分類彙整表 10
表2-4創新接受程度之相關定義彙整表 13
表2-5影響創新接受度的因素之彙整表 15
表2-6知覺有用性之相關定義彙整表 19
表2-7知覺易用性之相關定義彙整表 20
表2-8使用態度之相關定義彙整表 21
表2-9行為意圖之相關定義彙整表 22
表2-10創新接受程度之相關定義彙整表 25
表3-1創新接受程度之子構面衡量問項 35
表3-2知覺有用性之衡量問項 37
表3-3知覺易用性之衡量問項 37
表3-4使用態度之衡量問項 38
表3-5行為意圖之衡量問項 38
表3-6個人涉入程度之衡量問項 39
表4-1問卷回收之人口統計特性分析表 46
表4-2各構面之信度分析表 47
表4-3模型配適度衡量分析結果 48
表4-4同儕關係構面之驗證性分析 50
表4-5承擔風險的能力構面之驗證性分析 50
表4-6採用創新的態度構面之驗證性分析 51
表4-7嘗試新事物的意願構面之驗證性分析 52
表4-8知覺有用性構面之驗證性分析 52
表4-9知覺易用性構面之驗證性分析 53
表4-10使用態度構面之驗證性分析 54
表4-11行為意圖構面之驗證性分析 54
表4-12各潛在變項之區別效度摘要表 55
表4-13各構面之相關性分析表 57
表4-14違反估計檢定 60
表4-15常態性檢定 62
表4-16整體模型配適表 64
表4-17模型路徑係數表 65
表4-18路徑係數恆等性檢驗結果表 67
表4-19高與低個人涉入程度模型之路徑係數分析表 68
表4-20本研究假設驗證之結果 69
表4-21 原研究之路徑分析結果 71
表4-22有使用過5G通訊技術之受測者與原研究結果之比較表 72
表4-23有使用過5G通訊技術之受測者與原研究結果之比較表 72
表4-24有使用過5G通訊技術之受測者路徑係數恆等性檢驗結果表 73
表4-25沒有使用過5G通訊技術之受測者路徑係數恆等性檢驗結果表 74

圖目錄
圖1-1研究流程圖 5
圖2-1團體創新程度之採用群體分類 13
圖2-2理性行為理論架構圖 17
圖2-3科技接受模式理論架構圖 18
圖3-1研究架構 33
圖4-1路徑示意圖 66
圖4-2路徑分析圖 66
參考文獻 中文文獻
江沛昀(2006)。影響不同創新採用者口碑擴散意願之因素差異。國立台北科技大學工業工程與管理系所碩士論文。
林萬笙(2019)。創新接受程度與科技接受模式之關聯性分析研究–以智慧音箱為例。國立雲林科技大學工業工程與管理系碩士論文。
林薏昕(2013)。同儕壓力與知覺風險對於消費者滿意度之影響分析-以科技接受模式為中介變項。義守大學工業管理學系碩士論文。
張君如(2011)。手機使用者對3G手機上網服務使用意願及其影響因素之研究。國立中興大學行銷學系所碩士論文。
陳宏昌(2006)。以科技接受模式探討影響「學務系統」使用程度之因素。大葉大學教育專業發展研究所碩士論文。
陳嘉彌(1997a)。教師之接受創新程度研究。「八十五學年度師範學院教育學術論文發表會」論文集1,台東縣:國立台東師範學院,247-293。
黃嘉勝(1994)。創新觀念接受度量表在教學科技研究上的運用。教學科技與媒體,15,31-36。
鄒佳妤(2019)。探討行動支付之同儕壓力、知覺易用性、知覺有用性與使用意願關係-以Line Pay為例。國立中興大學生物產業管理研究所碩士論文。
龔于鈞(2019)。品牌形象及個人涉入程度對雲端儲存服務購買意願之影響。國立交通大學管理科學系所碩士論文。

英文文獻
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In: Kuhl, K., & Bechmann, J., (Eds.), Action-control: From cognition to behavior, Heidebberg: Springer, 11-39.
Ajzen, I. (1988). Attitudes, personality, and behavior. Milton Keynes, England: Open University Press.
Ajzen, I., & Driver, B. L. (1991). Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior. Leisure Sciences, 13(3), 185-204.
Allport, G. W. (1935). Attitude. Inc. Murchison. A Handbook of Social Psychology, Worcester, MA: Clark University Press, 798-844.
Anderson, J., & Gerbing, D. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411-423.
Anderson, R., & Srinivasan, S. (2003). E-Satisfaction and e-loyalty: a contingency framework. Psychology and marketing, 20(2), 123-138.
Andrews, J. C., Durvasula, S., & Akhter, S. M. (1990). A Framework for Conceptualizing and Measuring the Involvement Construct in Advertising Research, Journal of Advertising, 19(4), 29.
Bagozzi, R. P. & Yi, Y. (1988). On the evaluation of structural equation models. Academic of Marketing Science,16, 76-94.
Bauer, R. A. (1960). Consumer behavior as risk taking (Dynamic marketing for a changing world, R. S. Hancock ed.). Chicago: American Marketing Association, 389-398.
Beatty, S. & Smith, S. M. (1987). External Search Effort: An Investigation across Several Product Category, Joumal of Consumer Research, 14, 83-95.
Bentler, P. M. & Bonett, D. G. (1980). Significance tests and goodness-of –fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606.
Bentler, P. M. (1983). Comfirmatory factor analysis via noniterative estimation: A fast, inexpensive method. Journal of Marketing Research, 19, 417-424.
Bentler, P. M., & Wu, J. C. (1993). EQS/windows User's guide. Los Angles: BMDP Statistical Software.
Betz, F. (1987). Managing technology competing through new ventures, innovation, and corporate research. New York: Prentice Hall.
Bhattacherjee, A. (2001). Understanding information systems continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370.
Blackwell, D. R., Miniard, P. W., & Engel, J. F. (2001). Consumer Behavior, (9th ed.). Harcourt, Inc.
Breckler, S. J. (1984). Empirical validation of affect, behavior, and cognition as distinct components of attitude. Journal of Personality and Social Psychology, 47, 1191-1205.
Breivik, E., & Olsson, U. H. (2001). Adding variables to improve fit: The effect of model size on fit assessment in LISREL. Structural Equation Modeling: Present and Future, 169-194.
Bruner, G. C., & Kumar, A. (2005). Explaining consumer acceptance of handheld internet devices, Journal of Business Research, 58(5), 553-558.
Byrne, B. B. (2010). Principles and Practice of Structural Equation Modeling. New York: Guilford Press.
Calabrese, A., Campisi, D., Capece, G., Costa, R., & Di Pillo, F. (2013). Competiveness and innovation in high-tech companies: an application to the Italian biotech and aerospace industries. International Journal of Engineering Business Management, 5, 40.
Celsi, R. L. & Olson, J. C. (1988). The Role of Involvement in Attentionand Comprehension Processes, Journal of Consumer Research, 15, 210.
Chen, X., & Li, S. (2017). Understanding Continuance Intention of Mobile Payment Services: An Empirical Study. Journal of Computer Information Systems, 57(4), 287-298.
Cheong, J. H., & Park, M. C. (2005). Mobile internet acceptance in Korea. Internet Research: Electronic Networking Applications and Policy, 15(2), 125-140.
Chin, W. W. (1998). Commentary: Issues and Opinion on Structural Equation Modeling. Management Information Systems Quarterly, 22(1), 7-16.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 982-1003.
Diamantopoulos, A., Siguaw, J. A. (2000). Introducing LISREL: A Guide for the uninitiated. California: Sage.
Doney, P. M., & Cannon, J. P. (1997). An Examination of the Nature of Trust in Buyer-Seller Relationships, Journal of Marketing, 61(2), 35-51.
Downs, G. W. Jr., & Mohr, L. B. (1976). Conceptual Issues in the Study of Innovation, Administrative Science Quarterly, 21(4), 700-714.
Drucker, P. (1985). Innovation and entrepreneurship, New York: Harper and Row.
Fishbein, M., & Ajzen, I. (1975). Beliefs, Attitude. Intentions and Behavior: An introduction to theory and Research, Addition-Wesley, Boston, ML.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing Research, 18, 39-50.
Gopalakrishnan, S., & Damanpour, F. (1997). A Review of Innovation Research in Economics, Science, 25(1), 15-28.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Multivariate Data Analysis (7th ed.). New Jersey: Prentice Hall.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis (6th ed.). New Jersey: Prentice-Hall.
Hauknes, J. (1998). Services in Innovation-Innovation in Services. Oslo: STEP Group:SI4S Synthesis Paper.
Hawkins, D. I., Best, R. J., & Coney, K. A. (2001). Consumer Behavior: Building Marketing Strategy, (8th ed.). McGraw Hill Company.
Higgins, J. M. (1995). Innovation: The core competence. Planning Review,23(6): 32-35.
Hilgard, E. R. (1980). The trilogy of mind: Cognition, affection, and conation. Journal of the History of the Behavioral Sciences, 16, 107-117.
Horne, M. D. (1985). Attitudes toward handicapped students: Professional, peer, and parent reactions. Hillsdale, NJ: Erlbaum.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K.Y. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology, Journal of Management Information Systems, 16(2), 91-112.
Huang, J. C., & Lin, S. P. (2014). Home telehealth acceptance model: The role of innovation. African Journal of Business Management, 8(18), 791-800.
Hurt, H. T., Joseph, K., & Cook, C. D. (1977). Scales for the measurement of innovativeness. Human Communication Research, 4(1), 58-65.
Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an understanding of the behavioral intention to use an information system. Decision Science, 28(2), 357-389.
Katz, M. W. (1961). Admissible and Minimax Estimates of Parameters in Truncated Spaces. The Annals of Mathematical Statistics, 32(1), 136-142.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564.
Kim, D., & Ko, Y. J. (2019). The impact of virtual reality (VR) technology on sport spectators' flow experience and satisfaction. Computers in Human Behavior, 93, 346-356.
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford.
Knight, K.E. (1967). A Descriptive Model of Intra-Firm Innovation Process. Journal of Management, 40, 478-496.
Knox, S & D. Walker. (2003). Empirical Developments in the Measurement of Involvement, Brand Loyalty and Their Relationship in Grocery Markets, Journal of Strategic Marketing, 11, 271-286.
Krugman, H. E. (1965). The impact of television advertising: Learning without involvement. Public opinion quarterly, 29(3), 349-356.
Kulviwat, S., Bruner, G. C., Kumar, A., Nasco, S. A., & Clark, T. (2007). Toward a Unified Theory of Consumer Acceptance Technology, Psychology and Marketing, 24(12), 1059-1084.
Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of Influence on Beliefs About Information Technology Use: An Empirical Study of Knowledge Workers. MIS Quarterly, 24(4), 657-679.
Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal Innovativeness, Social Influences and Adoption of Wireless Internet Services via Mobile Technology. The Journal of Strategic Information Systems, 14(3), 245-268.
Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25(1), 29-39.
Maheswaran, D., & Meyers-Levy, J. (1990). The influence of message framing and issue involvement. Journal of Marketing Research, 27(3), 361-367.
McDonald, R. P., & Ho, M. R. (2002). Principles and practice in reporting structural equation analysis. Psychological methods, 7, 64-82.
Midgley, D. F., & Dowling, G. R. (1978). Innovativeness: The concept and its measurement. Journal of Consumer Research, 4(4), 229-242.
Miller, K. (2005). Communications theories: perspectives, processes, and contexts. New York: McGraw-Hill.
Mitchell, A. A. (1981). The Dimensions of Advertising Involvement, Advances in Consumer Research, 8, 25-30.
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for World-Wide-Web Context, Information and Management, 38, 217-230.
Mulaik, S. A., James, L. R., Altine, J. V., Bennett, N., Lind, S., & Stilwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105(3), 430-445.
Ogbanufe, O., & Kim, D. J. (2018). Comparing fingerprint-based biometrics authentication versus traditional authentication methods for e-payment. Decision support systems, 106, 1-14.
Ong, C. S., Lai, J.Y., & Wang, Y. S. (2004). Factors affecting engineers acceptance of asynchronous e-learning systems in high-tech companies. Information & Management, 41, 795-804.
Parveen, F., Abessi, M., & Ainin, S. (2009). Wireless Internet-Using Mobile Devices (WIMDs) in Malaysia. International Journal of Mobile Communications, 7(5), 580-593.
Petty, R. E. & Cacioppo J. T. (1983). Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement, Journal of Consumer Research, 10, 135.
Popielarz, D. T. (1967). An Exploration of Perceived Risk and Willingness to Try New Products. Journal of Marketing Research, 4(4), 368-372.
Porter, C., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: the role of perceived access barriers and demographics. Journal of Business Reasearch, 59(9), 999-1007.
Reichheld, F. F., & Schefter, P. (2000). E-Loyalty. Harvard Business Review, 78, 105-113.
Robertson, T. S., Zielinski, S., & Ward, J. (1984). Consumer Behavior, Illinois: Scott Foresman and Company, 279.
Rogers, E. M. (1962). Diffusion of innovativeness. New York: The Free Press of Glencoe.
Rogers, E. M. (1983). Diffusions of innovations (3rd ed.). New York: The Free Press Glencoe.
Rogers, E. M. (1995). Diffusion of Innovations (4th ed.). New York: The Free Press Glencoe.
Rosenberg, M. J., & Hovland, C. I. (1960). Cognitive, affective, and behavioral components of attitudes. In Rosenberg, M. J. & Hovland, C. I. (Eds.), Attitude organization and change. New Haven, New York: Yale University Press, 1-14.
Schaupp, L. C., & Belanger, F. (2005). A conjoint analysis of online consumer satisfaction. Journal of Electronic Commerce Research, 6(2), 95-111.
Schillewaert, N., Ahearne, M. J., Frambach, R. T., & Moenaert, R. K. (2005). The adoption of information technology in the sales force. Industrial Marketing Management, 34(4), 323-336.
Schumacker, R. E., & Lomax, R. G. (2004). A beginner’s guide to structural equation modeling (2nd ed.). New Jersey: Lawrence Erlbaum Associates.
Schumpeter, J. A. (1912). The theory of economic development: An inquiry into profits, capital, credit, interest and the business cycle. New Jersey: Transaction Publishers.
Schumpeter, J. A. (1934). The theory of economic development, Harvard, MA.
Sherif, M., & Cantril, H. (1947). The psychology of ego-involvements: Social attitudes and identifications. New York: Wiley.
Shih, H. P. (2004). Extended technology acceptance model of Internet utilization behavior. Information & Management, 41(6), 719-729.
Slyke, G. V., Lou, H., & Day, J. (2002). The Impact of Perceived Innovation Characteristics on Intention to Use Groupware. Information Resources Management Journal, 15(1), 5-12.
Somrak, A., Humar, I., Hossain, M. S., Alhamid, M. F., Hossain, M. A., & Guna, J. (2019). Estimating VR Sickness and user experience using different HMD technologies: An evaluation study. Future Generation Computer Systems, 94, 302-316.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
Taylor, J. W. (1974). The Role of Risk in Consumer Behavior, Journal of Marketing, 38(2), 54-60.
Taylor, S. & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models, Information System Research, 6(2), 145-176.
Thompson, V. A. (1965). Bureaucracy and innovation. Administrative Science Quarterly, 10, 1-20.
Van der Heijden, H. (2003). Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information & management, 40(6), 541-549.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model, Information systems research, 11(4), 342-365.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
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, 115-139.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478.
William, R. S. (1993). The Effects of Mood, Involvement, and Quality of Store Experience on Shopping Intentions, Journal of Consumer Research, 20, 271.
Wortzel, R. (1979). Multivariate analysis, New Jersey: Prentice Hall.
Wu, W. W. (2011). Developing an explorative model for SaaS adoption. Expert systems with applications, 38(12), 15057-15064.
Zaichkowsky, J. L. (1985). Measuring the involvement construct, Journal of Consumer Research, 12, 341-352.
Zaichkowsky, J. L. (1994). Research notes: the personal involvement inventory: reduction, revision, and application to advertising. Journal of Advertising, 33, 59-67.
Zaltman, G. (1965). Marketing: Contributions from the Behavioral Sciences. New York: Harcourt, Brace & World, Inc.
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31-46.

網頁資料
小丰子3C俱樂部,台灣5G 2020年下半年開台,會有多少5G基地台呢?(2020年3月20日)。檢自https://tel3c.tw/blog/post/28496 (Mar. 20, 2020)
行政院,啟動5G應用發展,實現2020智慧生活(2019年6月13日)。檢自https://www.ey.gov.tw/Page/448DE008087A1971/10e078d9-650b-41d6-95a8-6bb0e639567d (Jun. 13, 2020)
吳元熙(2020)。衝出1380億元天價!5G標金失速列車靠站,電信5雄廝殺結果一次看。檢自https://www.bnext.com.tw/article/56305/taiwan-5g-spectrum-auction-end (Sep. 1, 2020)
論文使用權限
  • 同意紙本無償授權給館內讀者為學術之目的重製使用,於2021-07-27公開。
  • 同意授權瀏覽/列印電子全文服務,於2021-07-27起公開。


  • 若您有任何疑問,請與我們聯絡!
    圖書館: 請來電 (02)2621-5656 轉 2487 或 來信 dss@mail.tku.edu.tw