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研究生:劉臻怡
研究生(外文):LIU, CHEN-YI
論文名稱:行車導航系統採用意圖之研究
論文名稱(外文):A Study on the Intention of Using Driving Navigation System
指導教授:張舜德張舜德引用關係
指導教授(外文):CHANG, SHUNDER
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:企業管理學系
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:中文
論文頁數:63
中文關鍵詞:技術準備度技術接受模型TAM2導航系統
外文關鍵詞:TRITAMTAM2Navigation System
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行車導航系統(Driving Navigation System)是指透過衛星定位技術,在車內電腦螢幕顯示汽車所在位置,配合電子地圖等軟體,提供駕駛人行車資訊及路線指引之系統。在車用電子產品中,與駕駛相關的行車資訊系統成長最快,市場上需求力道看似旺盛,然而在台灣市場實際上卻無法於使用上普及。
使用者採用新科技與否的因素是行銷者在最提供科技產品與服務時最重要的議題,許多研究用不同的角度去探討這個問題。「技術接受模型」(Technology Acceptance Model, TAM)在解釋及預測使用者對於新資訊科技,接受或拒絕的影響因素,此理論已廣泛應用在研究資訊系統上的創新採用。而TAM2探討的則是影響使用者知覺的前置因素(antecedence)。「技術準備度」(Technology Readiness Index, TRI)則是使用者對於採用新技術來完成日常生活及工作中的目標,是否能欣然接受的一種傾向。
本研究以「技術接受模式」為基礎,納入「技術準備」與「主觀規範」等構面,探討外部變數對消費者採用行車導航系統之知覺有用性與易用性的影響,進一步決定其使用意向與其實際採用與否。依據研究主題發展「技術準備度」之衡量指標,並以線性結構方程驗證研究所發展的TAM2 & TRI 理論模型,以探討影響使用者對行車導航系統使用意向之因素。
研究結果發現:(一)「主觀規範」對「使用意向」之直接效果顯著。行車導航系統的使用行為中,「使用意向」顯著受到「知覺有用性」、「知覺易用性」與「主觀規範」影響。(二)「技術準備度」的「抑制力」為降低「知覺有用性」的因素:「技術準備度」中的不適應與功能疑慮會降低「知覺有用性」,其中又以功能疑慮影響效果較為強烈。由此可知對於使用者使用行車導航系統的「知覺有用性」中,產品在使用上功能的正確運作,比使用者自身對科技的不信任感更為重要。此外「主觀規範」對「知覺有用性」有正向影響,但會使「技術準備度」中的「抑制力」效果降低。(三)「技術準備度」的「驅使力」為促進「知覺易用性」的因素:「知覺易用性」受到「技術準備度」「驅使力」中的樂觀主義與創新性的影響,其中又以樂觀主義對於「知覺易用性」的促進效果大於創新性的影響。由此可知使用者對於科技產品的正面態度中,已經普遍的接受科技並對其存在著樂觀的信念,但個體是否成為使用的領導者與創新者則仍因人而異。
Driving Navigation System (DNS) is kind of technology using global positioning technology by showing the location of where the car is, with the software and electronic map, to provide the information and travel guide for the drivers. DNS is the product which grows very fast in the telematics market. However, the number of users and the usage are actually not popular in Taiwan.
The users’ adoption is the most important issue to marketers by providing new technology product and services. Technology Acceptance Model (TAM) is to provide an explanation and prediction of the determinants of whether the user accepts kind of new technology or not.TAM2 refers to the antecedences that influence the users’ perceptions. Technology Readiness Index (TRI) refers to people’s propensity to embrace and use new technologies for accomplishing goals in home life and at work.
This study is based on TAM, with the construct of TRI and subjective norm, to understand the effect of how external variables influence consumers’ perceive usefulness and perceive ease of use to adopt the DNS. According to the theme we develop the TRI measurements, and modify the TAM2 & TRI theoretical model by using SEM, to find out the antecedences that influence users’ intention to use DNS.
The result find out that the positive effect on “subjective norm” to “intention to use” is significant. “Intention to use” is effects by “perceive usefulness”, “perceive ease of use” and “subjective norm”. Second, the negative effect on the “inhibitors” of technology readiness and “perceive usefulness” is significant. And the “subjective norm” to “perceive usefulness” does have positive effect, and it can make the effect of “inhibitors” been reduced. Finally, the “drivers” of technology readiness is the antecedence of “perceive ease of use”.
目次

第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究目的 4
第四節 研究範圍 4
第五節 章節架構 6
第二章 文獻探討 7
第一節 技術接受模型 7
第二節 技術準備度 14
第三章 研究方法 25
第一節 觀念架構與研究假說 25
第二節 變數定義與衡量 28
第三節 問卷設計 32
第四節 資料收集方法 32
第五節 資料分析方法 32
第四章 實證分析 33
第一節 樣本輪廓分析 33
第二節 量表信度與效度 36
第三節 模型驗證及路徑檢定 39
第五章 結論與建議 45
第一節 研究發現 45
第二節 策略涵意 46
第三節 研究貢獻 48
第四節 研究限制 49
第五節 後續研究建議 50
參考文獻 51
中文部分 51
英文部分 52
網站部分 57
附錄 58

圖次

圖2-1 技術接受模型 8
圖2-2 TAM2模型架構圖 11
圖2-3 PARASURAMAN 的技術準備度 16
圖3-1 觀念架構 25
圖3-2 量表發展步驟 29
圖4-1 模型一:未考量「主觀規範」對「使用意向」之間接效果 40
圖4-2 模型二:抑制力效果 41
圖4-3 模型三:驅使力效果 42
圖4-4 模型四:考量「主觀規範」對「使用意向」之間接效果 43





















表次

表2-1 科技性產品的八個主要矛盾 14
表2-2 不適應的衡量題項 17
表2-3 功能疑慮的衡量題項 18
表2-4 樂觀主義的衡量題項 20
表2-5 創新性的衡量題項 21
表2-6 技術準備度類型特性表 22
表2-7 技術準備度相關文獻整理 23
表3-1 研究假說彙整 27
表3-2 技術準備與技術接受量表 30
表4-1 使用情況 33
表4-2 樣本結構 34
表4-3 量表信度及效度 36
表4-4 標準化因素共變矩陣 38
表4-5 模型一:未考量「主觀規範」對「使用意向」之間接效果 39
表4-6 模型二:抑制力效果 40
表4-7 模型三:驅使力效果 41
表4-8 模型四:考量「主觀規範」對「使用意向」之間接效果 43
表4-9 模型假說檢定結果 44
參考文獻
中文部分
1.蕭瑞聖(2005),行的延伸---Telematics發展機會與策略分析,工研院經資中心出版,經濟部技術處發行。
2.李愷修(2005),使用者採用位基服務(LBS)行為研究,國立臺北大學企業管理學系碩士論文。
3.施素明(2005),B2C網站服務品質量測─ e-SERVQUAL觀點,國立臺北大學企業管理學系碩士論文。
4.湯志寧(2005),男性保養品使用行為之研究,國立臺北大學企業管理學系碩士論文。
5.周立軒(2005),網誌的使用者與使用行為之研究,元智大學資訊傳播學系碩士論文。
6.黃志燻(2004),國中教師「技術準備度」量表發展之研究,國立高雄師範大學工業科技教育研究所碩士論文。
7.李鍵壕(2004),高雄市公務人員對知識管理系統之科技接受度,國立中山大學公共事務管理研究所碩士論文。
8.李隆盛(2003)。願景、創新與規劃:國教階段科技課程的研訂與展望。[線上資料]。
9.詹偉勝(2002),服務業跨界員工之技術成熟度對其工作滿意影響之研究,高雄第一科技大學行銷與流通管理系碩士論文。
10.張春興(2002)。張氏心理學辭典(2版)。台北:東華書局。
11.陳曉菁(2001),服務技術接觸與顧客互動品質間關係之研究─以銀行服務為例,高雄第一科技大學行銷與流通管理系碩士論文。



英文部分
1.Agarwal, R., & Prasad, J. (1997), “The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies”, Decision Science, Volume 28 Issue 3, pp557-582.
2.Adams, D. A., Nelson, R. R., & Todd, P. A. (1997), “Perceived usefulness, ease of use, and usage of IT: A replication”, MIS Quarterly, Volume 16 Issue 2, pp 227-247.
3.Ajzen, I. (1991), “The theory of planned behavior”, Organizational Behavior and Human Decision Processes, Volume 50 Issue 2, pp179-211.
4.Chien-Huang Lin, Ching-Huai Peng. (2005), “The Cultural Dimension of Technology Readiness on Customer Value Chain in Technology-Based Service Encounters”, Journal of American Academy of Business, Cambridge, Volume 7, pp176.
5.Churchill Jr., Gilbert A., Iacobucci Dawn (2005), “Marketing Research: Methodological Foundation”, US: Sourth-Western, 9th edition, pp293-296.
6.Chen, L., Gillenson, M.L., and Sherrell, D.L. (2002), “Enticing online consumers: an extended technology acceptance perspective”, Information & Management, Volume 39, pp705-709.
7.Churchill Jr., Gilbert A. (1979), “A Paradigm for Developing Better measures of Marketing Constructs”, Journal of Marketing Research, Volume 16 Issue 1, pp64-73.
8.Dabholkar, P. A. (2000), “Technology in Service Delivery: Implications for Self-service and Service Support”, Handbook of Services Marketing and Management, pp103-110.
9.Dabholkar, P. A. (1996), “Consumer Evaluations of New Technology-Based Self-Service Options: An Investigation of Alternative Models of Service Quality”, International Journal of Research in Marketing, Volume 13, pp29-51.
10.Davis, F.D., R.P. Bagozzi and P.R. Warshaw (1992), “Extrinsic and intrinsic motivation to use computers in workplace”, J. Applied Social Psychology, Volume 22, pp1111-1132.
11.Davis, F. D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, Volume 13, pp319-340.
12.Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989), “User acceptance of computer technology: A comparison of two theorical models”, Management Science, Volume 35 Issue 8, pp982-1003.
13.Deutsch, M. and Gerard, H.G.(1955), “A study of normative and informational social influence upon individual judgment”, Journal of Abnormal and Social Psychology, Volume 51, pp629-636.
14.Fishbein, M., & Ajzen, I. (1975), “Belief, attitude, intentions and behavior: an introduction to theory and research”, Boston: Addison-Wesley.
15.Gefen, D. (2000), “E-Commerce: The Role of Familiarity and Trust”, Omega: The International Journal of Management Science, Volume 28 Issue 6, pp 725-737.
16.Hartwick, J. & Barki, H. (1994), “Explaining the role of user participation in information system use”, Management Science, Volume 40 Issue 4, pp440-465.
17.Hendry, J. (2001), “Technology Readiness and Educational Choice: Is there a Relationship between Technology Readiness and the Decision to Study On-line”, ANZMAC2000 Visionary Marketing for the 21st Century: Facing the Challenge, pp509-512.
18.Igbaria, M., Guimaraes, T. & Davis, G. B. (1995), “Testing the determinants of microcomputer usage via a structural equation model”, Journal of Management Information Systems, Volume 11 Issue 4, pp87-114.
19.Igbaria M., J. Iivari and H. Maragahh (1995), “Why do individuals use computer technology? A Finnish case study”, Information & Management, Volume 29, pp227-238.
20.Igbaria, M., Iivari, J., & Maragahh, H. (1995), “Why Do Individuals Use
Computer Technology? A Finnish Case Study”, Information & Management,
Volume 5, pp227-238.
21.John Niemela, Matthew Fisher. (2004), “The Use of Technology Readiness Levels for Software Development”, Army AL & T, May/Jun, pp10.
22.Jim Dupree. (2002), “Techno-Ready Marketing: How and Why Your Customers Adopt Technology”, The Journal of Consumer Marketing, Volume19, pp359-361.
23.Kang, S. (1998), “Information technology acceptance: Evolving with the changes in the network environment”, Proc.31st Annual Hawaii International Conference on System Sciences, pp413-423.
24.Krakiwsky, E. J. (1996), “Heading This Way: Affordable Security on the Road”, GPS WORLD, April, pp55-59.
25.Krakiwsky, E. J., & French, R. L. (1995), “Japan in the Driver’s Seat” , GPS WORLD, October, pp53-60.
26.Krakiwsky, E. J. (1994), “Digital Road Data: Putting GPS on the MAP” , GPS WORLD, May,pp43-46.
27.Kelman, H.C. (1958), “Compliance, identification, and internalization: Three processes of attitude change”, Journal of Conflict Resolution, Volume 2, pp 51-60.
28.Liao, S., Shao,Y. P., Wang H.& Chen, A. (1958), “The Adoption of Virtual
Banking:an Empirical Study”, International Journal of Information
Management, Volume 19, pp63-74.
29.Li, R., K.P. Schwarz, M.A. Champman, & M. Gravel (1996), “Integrate GPS and Related Technologies for Rapid Data Acquisition”, GIS World, April, pp41-43.
30.Mirella Kleijnen, Martin Wetzels, Ko de Ruyter (2004), “Consumer acceptance of wireless finance”, Journal of Financial Services Marketing, Volume 8, pp206-217.
31.Moon, J.W., & Kim, Y.G. (2004), “Extending the tam for a world-wide-web context”, Information & Management, Volume 38, pp217-230.
32.Malhotra, Y., & Galletta, D. F. (1999), “Extending the Technology Acceptance Model to Account for Social Influence :Theoretical Base and Empirical Validation”, Proceedings of the 32nd Hawaii International Conference on System Sciences. Hawaii: IEEE.
33.Mick, D. G., S. Fournier. (1998), “Paradoxes of Technology: Consumer Cognizance, Emotions, and Coping Strategies”, Journal of Consumer Research, Volume 25, pp123-143.
34.Moore, G. C., & Benbasat, I. (1998), “Development of an instrument to measure the perceptions of adopting an information technology innovation”, Information Systems Research, Volume 2, pp192-222.
35.Nikos Tsikriktsis.(2004), “A Technology Readiness-Based Taxonomy of Customers: A Replication and Extension”, Journal of Service Research: JSR, Volume 7, pp 42-52.
36.Parasuraman, A., Zeithaml, Valarie A., and Malhotra, Arvind (2005), “E-S-QUAL: A Multiple-Item Scale for Assessing Electronic Service Quality”, Journal of Service Research, Feb, Volume 7 Issue 3, pp213-233.
37.Parasuraman, A., & Colby, C. (2003) “Technology readiness (TR) and the TR index (TRI)”, [On-line]. Available.
38.Parasuraman, A., & Colby, C. (2001), “Techno-Ready Marketing:How and Why Your Customers Adopt Technology”, The Free Press, New York.
39.Parasuraman, A. (2000), “Technology readiness index (TRI): A multiple-item scale to measure readiness to embrace new technologies”, Journal of Service Research: JSR. Thousand Oaks, Volume 2 Issue 4, pp307-320.
40.Parasuraman, A., & Colby, C. (1998), “A scale for measuring customers’ technology readiness:Teplication, refinement and implications for service orqanisations”, Frontiers in Services Conference, New Orleans.
41.Parasuraman, A., Zeithaml, Valarie A., and Berry, Leonard L. (1998), “SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perception”, Journal of Retailing, Volume 64 Issue 1, pp12-40.
42.Steven A Taylor, Kevin Celuch, Stephen Goodwin. (2002), “Technology readiness in the e-insurance industry: An exploratory investigation and development of an agent technology e-consumption model”, Journal of Insurance Issues, Volume 25 Issue 2, pp142-165.
43.Subramanian, G.. H. (1994), “A Replication of Perceived Usefulness and Perceived Ease of Use Measurement”, Decision Sciences, Volume 25 Issue 5, pp 863-874.
44.Taylor, S., & Todd, P.A.(1995), “Assessing IT Usage: The role of prior experience”, MIS Quarterly, Volume 19, pp561-570.
45.Venkatesh, V., & Davis, F. D. (2000), “A theoretical extension of the technology acceptance model: Four longitudinal studies”, Management Science, Volume 46 Issue 2, pp186-204.
46.Venkatesh, V. (1999), “Creation of favorable user perceptions: Exploring the role of intrinsic motivation”, MIS Quarterly, Volume 23, pp239-260.






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