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研究生:朱信鑫
研究生(外文):Xin-Xin Zhu
論文名稱:以科技接受模式與信任之觀點探究無人駕駛汽車之採用意圖
論文名稱(外文):Examining the adoption intention for consumers to accept driverless vehicle: The perspective of TAM and trust
指導教授:陳岳陽陳岳陽引用關係方文星方文星引用關係
指導教授(外文):Yue-Yang ChenWen-Hsin Fang
學位類別:碩士
校院名稱:義守大學
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:2019
畢業學年度:107
語文別:中文
論文頁數:45
中文關鍵詞:無人駕駛汽車人工智慧科技接受模式信任態度意圖
外文關鍵詞:Driverless VehiclesArtificial IntelligenceTechnology Acceptance ModelTrustAttitudeIntention
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近年隨著智慧化的時代來臨,各種智慧科技推陳出新,無一不是結合大數據分析、決策的人工智慧科技。傳統汽車也來到了轉型為無人駕駛汽車的歷史分水嶺。本研究欲瞭解台灣消費者對於無人駕駛汽車的現況以及採用意圖,以無駕駛經驗的潛在消費者及具駕駛經驗的消費者作為研究對象,藉由發放紙本及網路問卷模式進行資料蒐集,有效樣本數為457份,以科技接受模式所涵蓋之「知覺有用性」、「知覺易用性」、「接受態度」、「行為意圖」等四個構面結合信任理論之觀點,探究消費者對無人駕駛汽車之採用意圖。
本研究結果顯示,消費者對於無人駕駛汽車實用性的評價,取決於車內功能特性是否能夠滿足消費者實用需求;意即消費者對車內功能實用性,能影響其接受態度,甚或採用意圖。除此之外,對品牌形象的信任感亦是影響消費者選車的一大因素。因此,汽車製造商仍須以消費者角度設計車輛功能,符合消費者需求方能達到永續經營的目的。
In recent years, with the advent of the era of wisdom, all kinds of wisdom and technologies are innovating, and they are all artificial intelligence technologies that combine big data analysis and decision-making. Traditional cars have also come to the historical watershed of transformation into driverless vehicles. This research is intended to understand the current situation and intentions of Taiwanese consumers for driveless vehicles, with potential consumers without driving experiences and consumers with driving experiences as research respondents, and data collection by distributing physical pen and pencil paper and online questionnaire methods. Totally, the number of valid samples is 457. The four aspects of “perceived usefulness”, “perceived ease of use”, “attitude toward using” and “behavioral intention to use” covered in the technology acceptance model are combined with the view of trust to explore consumers’ intention to use driverless vehicles.
The results of this research showed that the consumer''s evaluation of the practicality of the driverless vehicle depends on whether the functional characteristics of the car can meet the practical needs of the consumer; that is, the consumer''s practicality of the car''s function can affect consumer’s acceptance attitude, or even the intention. In addition, the trust with the product is also a major factor affecting consumers'' choice of driverless cars. Therefore, automakers have to design vehicle functions from the perspective of consumers, and meet the needs of consumers in order to achieve sustainable operations.
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 4
第三節 研究流程 5
第二章 文獻回顧 6
第一節 名詞解釋 6
第二節 科技接受模式 8
第三節 信任意義與內涵 10
第四節 研究假說 11
第三章 研究方法 15
第一節 研究模式 15
第二節 操作型定義 16
第三節 量表施測 16
第四節 資料分析方法 18
第四章 研究成果 20
第一節 敘述性統計 20
第二節 線性結構方程模式 23
第五章 結論與建議 28
第一節 研究結論 29
第二節 理論與實務意涵 30
第三節 研究限制與建議 31
參考文獻
中文部分32
英文部分33
附錄
附錄A 35
一、中文部份
[1]朱碧靜 (2012)。科技接受模式。圖書館學與資訊科學大辭典。國家教育研究。
[2]Uma Sekaran & Roger Bougie (2015)。企業研究方法(陳可杰譯)。台北:滄海書局。
[3]陳敬典(2018)。自動駕駛車發展現況與未來趨勢。車輛研測專刊。取自:https://www.artc.org.tw/upfiles/ADUpload/knowledge/tw_knowledge_594122328.pdf
[4]McKinsey & Company (2017)。討論人工智能與未來的就業問題。世界衛生組織(2015)。道路安全報告。取自:https://www.thenewslens.com/article/87851
[5]梁世安、余國瑋(2005)。以科技接受模式探討二輪式電動代步車消費者接受程度。華藝線上圖書館行銷評論2卷2期 (2005 / 06 / 01) P135 – 148 DOI:10.29931/MR.200506.0001
[6]陳照森(2012)。社群網站信任與科技接受模式實證研究。全球商業經營管理學報4期 (2012 / 09 / 01) , P53 – 66 DOI:10.29967/JGBOM.201209.0005。
[7]吳亞馨、朱素玥、方文昌(2008)。網路購物信任與科技接受模式之實證研究。資訊管理學報;15卷1期 (2008 / 01 / 01),P123 –152 DOI:10.6382/JIM.200801.0123
[8]邱志翔(2019)。自動駕駛的未來台灣準備好了!ARTC自駕車自主研發技術實在給力!CarStuff專題報導。取自:https://www.carstuff.com.tw/topic/item/28275-artc.html
[9]陳敬典(2018)。自動駕駛車發展現況與未來趨勢。財團法人車輛研究測試中心2018車輛研測專刊P15–20。
二、英文部分
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[2]Ajzen, I. & Madden, T. J. (1986). Prediction of goal directed behavior: Attitudes, intentions, and perceived behavioral control, Journal of Experimental Social Psychology, 453-474.
[3]Albert L. Lederer, Donna J. Maupin, Mark P. Sena, & Youlong Zhuang.(2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282.
[4]Benamati, J. & T. M. Rajkumar,. (2002). The Application Development Outsourcing Decision: An Application of The Technology Acceptance Model, Journal of Computer Information Systems, Vol. 42, No. 4, pp. 35-44.
[5]Chin, W. C. & Todd, P. A. (1995). On the Use, Usefulness and Ease of Use of Structural Equation Modeling in MIS Research: A Note of Caution. MIS Quarterly, 19 (2), 237– 246.
[6]Coeckelbergh, M. (2012). Can we trust robots? Ethics and information technology 14.1, S. 53-60.
[7]Davis, Fred D., Bagozzi, Richard P. & Warshaw, Paul R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
[8]Davis, F. D. (1989) “Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology,” MIS Quarterly (13:3), pp:319-340
[9]Goodall, N. J. (2016). Can you program ethics into a self-driving car? IEEE Spectrum , 53.6.
[10]G. Meyer & S. Beiker (2015). A Philosophy for Developing Trust in Self‐Driving Cars. Road Vehicle Automation 2 Lecture Notes in Mobility, Springer, pp. 163-170
[11]Guy, W. H., Stanton, N. A., & Young, M. S. (2001). Where is computing driving cars? International Journal of Human-Computer Interaction 13.2, S. 203-229.
[12]Hillary Abraham, Chaiwoo Lee, Samantha Brady, Craig Fitzgerald, Bruce Mehler, Bryan Reimer, & Joseph F. Coughlin1 (2016) Autonomous Vehicles, Trust, and Driving Alternatives: A survey of consumer preferences. Massachusetts Institute of Technology AgeLab White Paper.
[13]Kumar N. (1996) “The Power of Trust in Manufacturer-Retailer Relationships,” Havard Business Review, (74:6), pp:93-106
[14]Muir, B. M. (1994). Trust in automation: Part I. Theoretical issues in the studiy of trust and human intervention in automated systems. Ergonomics 37.11, S. 1905-1922.
[15]Nees MA (2016). Acceptance of Self-driving Cars: An Examination of Idealized versus Realistic Portrayals with a Self-driving Car Acceptance Scale. Proceeding of the Human Factors and Ergonomics Society 60th Annual Meeting, Washington, DC, September 2016, pp. 1448-1452.
[16]Payre, W., Cestac, J., & Delhomme, P. (2015). Fully Automated Driving Impact of Trust and Practice on Manual Control Recovery. Human Factors: The Journal of the Human Factors and Ergonomics Society.
[17]Reimer, B. (2014). Driver Assistance Systems and the Transition to Automated Vehicles: A Path to Increase Older Adult Safety and Mobility? Public Policy & Aging Report, 24(1), 27-31.
[18]SAE. (2014). Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems. J 3016 . SAE International.
[19]Schoettle, B., & Sivak, M. (2015). Motorists'' Preferences for Different Levels of Vehicle Automation. University of Michigan Transportation Research Institute (UMTRI) Report Number UMTRI-2015-22. Ann Arbor, Michigan.
[20]Saaksjarvi, M. (2003). Consumer Adoption of Technological Innovations. European Journal of Innovation Management, 6(2), 90-100.
[21]Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model, Management Science, 42 (1), 85–92.
[22]Taylor, S. & Todd, P.A. (1995). Understanding Information Technology Usage: A test of Competing Models. Information Systems Research, 6, 144-176.
[23]Tung, F. C., Chang, S. C., & Chou, C. M. (2008). An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. International Journal of Medical Informatics, 77 (5), 324–335.
[24]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.
[25]Venkatesh, V. & Davis, F.D., (2011). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science, 46 (2), 186– 204.
[26]Wagner, M. (2015). A Philosophy for Developing Trust in Self-driving Cars, in Road Vehicle Automation 2. Springer International.
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