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研究生:Dulguuntuya Tumenbayar
論文名稱:應用技術接受模型於蒙古App出租車服務
論文名稱(外文):Applying Technology Acceptance Model to App-based Taxi Service in Mongolia
指導教授:曾清枝曾清枝引用關係
指導教授(外文):CHING CHIH TSENG
口試委員:黃怡芬曾耀煌
口試委員(外文):YI FEN HUANGYAO HUANG TSENG
口試日期:2018-12-24
學位類別:碩士
校院名稱:大葉大學
系所名稱:企業管理學系碩士班
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:英文
論文頁數:44
中文關鍵詞:科技接受模型
外文關鍵詞:technology acceptance model、perceived usefulness、perceived ease of use、taxi-hailing app、behavioral intention、attitude towards using
相關次數:
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  • 下載下載:50
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基於移動應用程序的計程車服務正在不斷增加,蒙古人民也在不斷使用,但是,計程車服務無法為消費者提供滿意的服務。當計程車用戶開始抱怨計程車的具體問題時,一項基於應用程序的計程車服務的新技術被創新了。實際上,計程車呼叫應用不僅創新了現代社會的交通市場,而且在安全,舒適,經濟,方便等方面也為用戶提供了諸多好處。此外,計程車還可以為社區和客戶帶來良好的利益。
該網站收集的數據來自於在蒙古體驗過計程車呼叫應用程序的計程車乘客。共有 218 名年齡等於或大於 18 歲的受訪者。本研究旨在探討影響蒙古國應用型計程車服務行為意向的因素。研究框架由引數,因變數和仲介變數構成本研究結果顯示,知覺有用性,知覺易用性,服務性及使用態度對應用程式計程車服務之行為意向有正向影響。在回歸分析中,與其他因素相比,適用性得分較低(β=0.405)。此外,對使用的態度也在調解部分影響。關於這一點,我建議改進基於應用程序的計程車服務的可服務性,該服務應該新增他們的合格計程車。如果計程車公司能够在服務,便利性,計程車數量和應用程序版本等方面做出改進,那麼乘客真正願意使用基於應用程序的計程車服務。
Mobile app-based the taxi service is increasing and is being continually used
by the people of Mongolia, however, taxi service cannot provide a good execution for consumer satisfaction. A new technology that app-based taxi service has been innovated when taxi users started to grumble about specific issues of the taxi. Actually, the taxi calling application has not only innovated the transport market in modern society, as well as the taxis also provide a multitude of benefits to the users concerning safety, comfort, economics, and convenience. Besides taxis can bring a good benefit to community and customers. Data collected by website from taxi travelers who have experienced taxi- hailing app in Mongolia. There are 218 respondents with age equal or larger than 18 years old. This research aimed to explore which factor effect on the behavioral intention of app-based taxi service in Mongolia. Research's framework constructed with independent variables, dependent variable, and mediating variable. The results of this study show that perceived usefulness, perceived ease of use, serviceability, and attitude towards usage have a positive effect on the behavioral intention of app-based taxi service. Serviceability was low score compared other factors in regression analysis (β=0.405). Also, attitude toward usage was mediating partial effects. Regarding that, I suggested improving to the serviceability of app- based taxi service that should to add their qualify taxis. If taxi companies can make improvement of their service, convenience, the number of taxi and application version, passengers truly willing like to use app-based taxi service.
中文摘要....................................................................................................................... iii
ABSTRACT .................................................................................................................. iv
ACKNOWLEDGEMENT ............................................................................................. v
TABLE OF CONTENTS .............................................................................................. vi
LIST OF TABLE ........................................................................................................ viii
LIST OF FIGURE......................................................................................................... ix

Chapter I. INTRODUCTION ........................................................................................ 1
1.1 Research Background .............................................................................................. 1
1.2 Research Motivation ................................................................................................ 2
1.3 Research Gap ........................................................................................................... 3
1.4 Research Objectives ................................................................................................. 3
Chapter II. LITERATURE REVIEW ............................................................................ 4
2.1 Background of Taxi-hailing App ............................................................................. 4
2.2 Taxi Service in Mongolia ......................................................................................... 4
2.3 Mobile Application .................................................................................................. 6
2.4 Technology Acceptance Model ............................................................................... 7
2.5 Perceived Usefulness ............................................................................................... 7
2.6 Perceived Ease of Use .............................................................................................. 8
2.7 Behavioral Intention ................................................................................................. 9
2.8 Previous Research Works ...................................................................................... 10
Chapter III. METHODOLOGY ................................................................................... 12
3.1 Framework ............................................................................................................. 12
3.2 Research Question ................................................................................................. 14
3.3 Methodology and Design ....................................................................................... 14
3.4 Populations and Samples ....................................................................................... 15
3.5 Data Collection and Analysis ................................................................................. 15

3.5.1 Descriptive Analysis .................................................................................... 16
3.5.2 Reliability and Validity Analysis ................................................................ 16
3.5.3 Correlation Analysis .................................................................................... 17
3.5.4 Regression Analysis .................................................................................... 18
Chapter IV. RESULTS ................................................................................................ 20
4.1 Descriptive Analysis .............................................................................................. 20
4.2 Item Analysis ......................................................................................................... 22
4.3 Factor Analysis ...................................................................................................... 24
4.4 Reliability and Validity Analysis ........................................................................... 27
4.4.1 Reliability analysis ...................................................................................... 27
4.4.2 Validity analysis .......................................................................................... 27
4.5 Correlation Analysis .............................................................................................. 29
4.6 Regression Analysis ............................................................................................... 30
4.6.1 Hypothesis 1 ................................................................................................ 30
4.6.2 Hypothesis 2 ................................................................................................ 31
4.6.3 Hypothesis 3 ................................................................................................ 31
4.6.4 Hypothesis 4 ................................................................................................ 31
4.6.5 Hypothesis 5 ................................................................................................ 32
4.6.6 Hypothesis 6 ................................................................................................ 32
4.6.7 Hypothesis 7 ................................................................................................ 33
Chapter V. DISCUSSION AND CONCLUSION ....................................................... 35
5.1 Research Findings .................................................................................................. 35
5.2 Conclusion ............................................................................................................. 36
REFERENCES ............................................................................................................ 38
APPENDIX .................................................................................................................. 42
1. Azjen, I. (1991). The theory of planned behavior. Organizational Behavior and
Human Decision Processes, 179-211.
2. Bryman, A. (2012). Social Research Methods. (4rd ed). Oxford. Oxford university.
3. Chen, G. (2014). Influential factors of deaf identity development. Electronic
Journal for Inclusive Education.
4. Chen, Y. a. (2007). Initial trust and online buyer behavior. Industrial Management
& Data, 4-8.
5. Chiou, S. &. (2014). A mobile, dynamic, and privacy-preserving matching system
for car and taxi pools. Mathematical Problems In Engineering, (pp. 1-10).
6. Conner.M, A. (2001). Efficacy of the theory of planned behaviour. BJSP, 471-499.
7. Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance
of information technology. (pp. 319-340). Management information systems
research center.
8. Drew, S. A. (2014). Using the technology acceptance model in understanding
academics' behavioural intention to use learning management system.
International Journal of Advanced Computer Science and Applications.
9. G, L. (2016, 3 24). Worth It? An App to Get a Cab. Retrieved from wall street
Journal: blogs.wsj.com/digits/2011/06/17/worth-it-an-app-to-get-a-cab
10. Gawer, A. a. (2008). Digital health platform complementor strategies and effectual
reasoning. How Companies Become Platform Leaders. MIT Sloan Management
Review, 28-35.
11. H, N. J. (1994). Psychometric theory. Mcgraw Hill.
12. Haba, H. F. (168-192). Consumer Perception Factors for Fashion M-Commerce
and Its Impact on Loyalty Among Working Adults. Business and economic
research.
13. Hailo. (2016). Retrieved from hailo location: www.hailoapp.com/locations/
14. He F, Shen. (2015). Modeling taxi services with smartphone-based e-hailing
applications. Transportation Research Part C : Emerging Technologies, 93-106.
15. Hou, Y. (2016). The Effects Of Taxi Hailing Applications On People’s Travel.
THE UNIVERSITY OF SHEFFIELD.
16. iresearch global. (2014, 2 22). Retrieved from iresearch:
http://www.iresearchchina.com/content/details7_18422
17. J C Welman, F. K. (2005). Research methodlogy. Oxford university press.
18. Jae Shin Lee, H. C. (2003). Technology acceptance and social networking in
distance learning. Educational Technology and Society, 50-61.
19. Jahangir Karimi, Zhiping Walter. (2015). A factor-based study of the newspaper
industry. The Role of Dynamic Capabilities in Responding to Digital Disruption,
39-81.
20. Johnson, B. &. (2004). Mixed methods research: A research paradigm whose time
has come. 14-26.
21. Judd Cramer & Alan B. Krueger. ( 2016). Disruptive change in the taxi business:
the case of uber. (pp. 177-182). American economic review.
22. Khupse, M. H. (2017). A Study of passengers' motives for using. KAAV
International Journal Of Economics, 474-480.
23. Leng, B. D. (2016). Analysis of taxi drivers’ behaviors within a battle between
two taxi apps. IEEE Transactions on Intelligent.
24. Li Da Xu, S. M. (2014). Internet of things in industries: a survey. Transactions on
Industrial Informatics.
25. Lyft. (2016). Retrieved from www.lyft.com/cities/
26. Micheal H Morris, D. F. (2002). Corporate Entrepreneurship. Harcourt college.
27. Mongolian Statistical Information Service. (2017). Retrieved from 1212.mn:
http://1212.mn/BookLibraryDownload.ashx?url=Ulaanbaatar_2016.pdf&ln=Mn
28. Mugenda. (1999). Research methods: quantitative and qualitative approaches.
29. National bureau of economic research JEL, D24, J01, J42, J44, O3 (2016).
30. Onyango, J. J. (2016). E-Hailing Applications Adoption and Competitiveness of
App-Based Taxi Operators in Kenya. School of business, university of Nairobi .
31. Peng, L., Wang, H., He, X., Guo, D., & Lin, Y. (2014). Exploring factors affecting
the user adoption of call-taxi app. 25th Australasian Conference on Information
Systems. New Zealand.
32. Pradhan, S. (2003). Mobile commerce in the automobile industry. Proceeding of
The International Conference On Information Technology.
33. Q. B. Meng, S. M. (2010). A novel taxi dispatch system integrating a multi-
customer strategy and genetic network programming. Advanced Computational
Intelligence and Intelligent Informatics, 442-452.
34. Qingnan Zou, Guangtao Xue, Yuan Lua , Jiadi Yu , Hongzi Zhu. (2013). A novel
taxi dispatch system for smart city. Distributed, Ambient, and Pervasive
Interactions, (pp. 326-335). Springer, Berlin, Heidelberg.
35. Rayle, L. (2014). Comparing taxi and ridesourcing trips and user characteristics.
App-Based, on-Demand Ride Services.
36. Reuben M. Baron and David A. Kenny. (1986). The moderator-mediator variable
distinction in social psychological. Journal of Personality and Social Psychology,
1173-1182.
37. Rogers, E. (1962). Diffusion of Innovations.
38. Roy, S. (2017). Scrutinizing the factors influencing customer adoption of app-
based cab services. The IUP Journal of Marketing Management.
39. S., F. R. (n.d.). A health audit for corporate entrepreneurship. journal of strategy.
Texas: Emerald group publishing.
40. Sapsford, R. (2005). Survey research. London: Sage publishing.
41. Saunders, M. L. (2012). Research Methods for Bussines Students.
42. Taylor, D. G. (2014). Predicting mobile app usage for purchasing and information
sharing. International Journal of Retail & Distribution Management, 759-774.
43. Uber company. (2016, 5 24). Retrieved from Wikipedia:
https://en.wikipedia.org/wiki/Uber
44. Wang, Y. H. (2016). Pricing strategies for a taxi-hailing platform. Transportation
Research Part E: Logistics And Transportation Review,93, (pp. 212-231).
45. Weisberg, H. F. (1977). An introduction to survey research and data.
46. Xu, Q. E. (2011). Identifying diverse usage behaviors of smartphone apps. ACM,
(pp. 329-344).
47. Xu, X. L. (n.d.). Straegic Assesment.
48. YT, C. (2012). Proteome-wide screens in Saccharomyces cerevisiae using the
yeast GFP collection. 78.
49. Zhu, Q. (october 31 2016). The impact of characteristics of b2c retailer on
purchasing intention - based on tam model. Open Journal of Business and
Management.
50. Zhu, Y. Z. ( 2015). The factors determining the quantity of taxis - an empirical
analysis of cites in china. Clemson University Tiger Prints, (pp. 1-31).
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