在智慧型手機及網際網路日漸普及下，由美食外送平台下訂餐點的訂餐模式應運而生；在台灣的餐飲外送市場上，消費者使用美食外送平台的人數及使用頻率日漸趨增，形成對台灣餐飲外送市場上一股不容忽視的力量。因此，本研究將針對台灣餐飲外送市場，消費者對使用美食外送平台之使用意圖及相關消費行為進行研究探討。
本研究係採用整合型科技接受模型(UTAUT)作為本研究之架構發展基礎，探討台灣餐飲外送市場中，消費者對美食外送平台的「績效預期」、「努力預期」、「社會影響」及「促進條件」對「使用意圖」之影響；此外，為了研究台灣餐飲外送市場上消費者的態度是否會影響其對美食外送平台的使用意圖，因此在本研究架構中加入「態度」來作為內生變數。
本研究使用SPSS 22.0版與LISREL 8.71版做為資料分析之工具，透過結構方程模式來分析驗證，並得出以下三點結論：
ㄧ、 台灣美食外送平台市場中，消費者的績效預期、社會影響及促進條件對使用意圖有影響
二、 台灣美食外送平台市場中，消費者的態度依然是使用意圖的重要前因
三、 台灣美食外送平台市場中，消費者的態度扮演著重要的中介角色

With the increasing popularity of smartphones and the Internet, using the food delivery platform to ordering food this new ordering model emerged as the times require; in Taiwan's food delivery market, the number and frequency of consumers using the food delivery platform are gradually increasing. Therefore, this study will be aimed at Taiwan's food delivery market to discuss the factors affecting consumers to use food delivery platforms and related consumption behaviors. 
This study uses the Unified Theory of Acceptance and Use of Technology Model (UTAUT) as the basis for the development of this research. To discuss the "Performance Expectancy", "Effort Expectancy", "Social Influence" and 'Facilitating Condition' impact on consumer's 'Usage Intention' in the Taiwan food delivery platform market. In addition, in order to study whether the attitude of consumers in the Taiwan food delivery market will affect their intention to use the food delivery platform, an “attitude” is added as an endogenous variable in this research framework.
This study uses SPSS version 22.0 and LISREL version 8.71 as a tool for data analysis, which is verified by structural equation model analysis and draws the following three conclusions:
1.In the Taiwan food delivery platform market, consumers’ Performance Expectancy, Social Influence, and Facilitating Condition have an impact on Usage Intentions. 
2.In the Taiwan food delivery platform market, consumers’ Attitude is still an important cause of impact on Usage Intention.
3.In the Taiwan food delivery platform market, consumers’ Attitude plays an important intermediary role.

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	1
第二節 研究動機	4
第三節 研究目的	6
第四節 研究範圍與對象	7
第五節 研究流程	8
第二章 文獻回顧	9
第一節	美食外送平台	9
ㄧ、外送之種類	10
二、平台之定義	13
三、平台之發展	15
四、線上訂餐之定義	16
五、台灣市場線上美食外送平台品牌現況之簡介	18
第二節 整合型科技接受理論	21
一、理性行為理論 (THEORY OF REASONED ACTION, TRA)	23
二、創新擴散理論 (INNOVATION DIFFUSION THEORY, IDT)	24
三、計畫行為理論 (THEORY OF PLANNED BEHAVIOR, TPB)	28
四、社會認知理論 (SOCIAL COGNITIVE THEORY, SCT)	31
五、科技接受模型 (TECHNOLOGY ACCEPTANCE MODEL, TAM)	34
六、個人電腦使用模型 (MODEL OF PC UTILIZATION, MPCU)	39
七、動機模型 (MOTIVATION MODEL, MM)	41
八、整合科技接受模型及計畫行為理論(COMBINED TAM＆TPB,C-TAM-TPB)	42
九、整合型科技接受模型 (UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY ,UTAUT)	44


第三章 研究方法	46
第一節 研究架構	46
第二節 研究假說	47
第三節 研究變數之定義與衡量	51
第四節 研究設計	57
第五節 資料分析方法	59
第四章 資料分析與結果	67
第一節 問卷發放及回收情況	67
第二節 樣本資料之敘述性統計分析	68
第三節 美食外送平台使用概況統計	73
第四節 信度分析	76
第五節LISREL模式分析	77
ㄧ、結構方程路徑模型	77
二、整體模型配適度評估	82
三、衡量模式之評估	85
四、假說驗證	87
五、整體結構關係路徑圖分析	89
第五章 研究結論與發現	92
第一節 研究結論	92
第二節 研究發現	94
第三節 研究限制與未來研究建議	97
參考文獻	98
一、中文文獻	98
二、英文文獻	100
三、網路文獻	107
附錄 研究問卷	109


表目錄
表 2- 1外送之總類	12
表 2- 2平台之定義彙整表	14
表 2- 3線上訂餐定義之彙整表	16
表 2- 4整合型科技接受模型相關理論	21
表 2- 5理性行為理論構面定義	23
表 2- 6創新擴散理論構面定義	26
表 2- 7計畫行為理論構面定義	28
表 2- 8社會認知理論構面定義	32
表 2- 9科技接受模型構面定義	34
表 2- 10延伸式科技接受模型構面定義	37
表 2- 11個人電腦使用模型構面定義	39
表 2- 12動機模型構面定義	41
表 2- 13結合科技接受模型及計畫行為理論構面定義	42
表 2- 14整合型科技接受模型構面定義	44

表3- 1 本研究假說彙整表	50
表3- 2績效預期之操作性定義與衡量問項	51
表3- 3努力預期之操作性定義與衡量問項	52
表3- 4社會影響之操作性定義與衡量問項	53
表3- 5促進條件之操作性定義與衡量問項	54
表3- 6態度之操作性定義與衡量問項	55
表3- 7使用意圖之操作性定義與衡量問項	56
表3- 8敘述性統計分析問項彙整表	60
表3- 9構面間之相關係數與程度劃分	61
表3- 10 LISREL參數符號說明	63
表3- 11相關衡量指標	65

表 4- 1問卷發放與回收狀況	67
表 4- 2整體有效樣本之性別分佈情形	68
表 4- 3整體有效樣本之年齡分布情形	69
表 4- 4整體有效樣本之教育程度分佈情形	69
表 4- 5整體有效樣本之職業分佈情形	70
表 4- 6整體有效樣本之平均月收入分佈情形	71
表 4- 7整體有效樣本之居住地分佈情形	71
表 4- 8整體有效樣本之婚姻狀況分佈情形	72
表 4- 9使用過美食外送平台的受訪者之使用頻率分佈情形	73
表 4- 10使用過美食外送平台的受訪者之最常使用平台分佈情形	74
表 4- 11使用過美食外送平台的受訪者之平均消費金額分佈情形	75
表 4- 12整體樣本各構面之信度分析表	76
表 4- 13整體模式中的可觀察變相與潛在變數	78
表 4- 14結構方程式之參數說明	80
表 4- 15結構方程式之參數說明	80
表 4- 16相關配適度參數說明	84
表 4- 17整體樣本衡量模式之評估	85
表 4- 18整體樣本之研究假說驗證結果	88
表 4- 19整體樣本結構關係路徑效果分析	91


圖目錄
圖 1- 1本研究之研究流程	8
圖 2- 1理性行為理論	24
圖 2- 2創新擴散理論(1983)	25
圖 2- 3創新擴散理論(1991)	27
圖 2- 4計畫行為理論	29
圖 2- 5分散式計畫行為理論	30
圖 2- 6社會認知理論觀念架構圖	31
圖 2- 7社會認知理論	33
圖 2- 8科技接受模型架構	35
圖 2- 9修正後科技接受模型架構	35
圖 2- 10延伸式科技接受模型	38
圖 2- 11個人電腦使用模型	40
圖 2- 12動機模型	41
圖 2- 13結合科技接受模型及計畫行為理論	43
圖 2- 14整合型科技接受模型	45
圖 3- 1本研究研究架構	46
圖 4- 1本研究整體模式之結構路徑圖	79
圖 4- 2本研究整體樣本結構關係路徑分析圖	90

一、中文文獻
何苔麗、徐慧霞、陳照森(2012)。應用消費者接受模式探討手機應用程式服務之再購意願。電子商務研究，10(3)，235-255。
吳宛欣(2015)。運用UTAUT及TTF探討台灣店家對Beacon技術之廣告推播服務的接受度。國立臺北科技大學工業工程與管理系碩士論文。
李廣義(2009)。人力資源管理。中國天津市：天津大學出版社。
沈靜君(2014) 。運用UTAUT及TTF探討從業人員對電子貨架標籤之接受度。國立臺北科技大學工業工程與管理系碩士論文。
周君倚、陸洛(2014)以科技接受模式探討數位學習系統使用態度－以成長需求為調節變項，資訊管理學報，21(1)，83-106。
林心慧、張雲豪(2009)。以UTAUT為基礎之消費者電子折價券使用行為之預測模式：直接與干擾效果。中華管理評論國際學報。
陳威如、余卓軒(2013)。平台革命：席捲全球社交、購物、遊戲、媒體的商業模式創新。台北市：商周出版。
賀偉、李賀(2015) 。移動圖書館用戶使用意願實證研究。圖書情報工作，第7期。吉林大學管理學院。
黃怡婷(2019)。以整合科技接受模型UTAUT探討人工智慧運用於旅宿業使用者接受意願。國立高雄餐旅大學餐旅研究所碩士論文。
黃芳銘(2007)。結構方程模式理論與應用(五版)。臺北：五南書局。
黃敬玶(2016)。運用UTAUTⅡ探討消費者對行動支付之接受程度。國立臺北科技大學工業工程與管理系碩士論文。
黃懿諄(2002)。網路訂餐消費行為之研究－由決策過程分析。國立東華大學觀光季遊憩管理碩士論文。
劉芳育(2016)。網路行銷懶人包｜影片、直播、貼文、圖片、故事，一次搞懂不見面就成交的內容行銷術！。台北市：碁峰資訊。
劉柏廷(2006)。科技接受模式，結合計劃行為理論與科技接受模式，科技接受與使用統一理論之實證分析與比較：以台北市停車收費採用PDA為例。國立交通大學運輸科技與管理學系碩士論文。
羅玉婷(2019)。以延伸式TAM觀點探討行動支付之使用意願。淡江大學國際企業學系碩士論文。
蘇立雯(2004)。關鍵客戶關係品質與組織績效之研究。淡江大學國際貿易學系碩士論文。


二、英文文獻
Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In J. Kuhl & J. Beckman (Eds.), Action control: From cognition to behavior, 11- 39. Berlin: Springer-Verlag.
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179-221.
Alomary, Azza and Woollard, John (2015). How is Technology Accepted by Users? A Review of Technology Acceptance Models and Theories. 5th International Conference on 4E, United Kingdom, 6.
Al-Shafi, S. (2009). Factors Affecting E-Government Implementation and Adoption in the State of Qatar. Ph.D. Thesis, Brunel University, London.
Annabelle Gawer (2010). Platforms, Markets and Innovation. An Introduction Platforms, Markets and Innovation, 1-16. United Kingdom :Edward Elgar Publishing Inc.
Anne Leavell(2008). Meal Delivery Weight-Loss Programs. Obesity Management. 4(5), 250–256.
Ayankunle A. Taiwo (2019). Users Behavioral Intention Towards eGovernment in an African Developing Country. Advanced Methodologies and Technologies in Government and Society, 290-304. Pennsylvania: IGI Global.
Bagozzi, R. and Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Sciences, 16, 74-94.
Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice- Hall Inc.
Barney Tan., Shan L. Pan., Xianghua Lu & Lihua Huang (2015). The Role of IS Capabilities in the Development of Multi-Sided Platforms: The Digital Ecosystem Strategy of Alibaba.com. Journal of the Association for Information Systems, 16(4), 248-280.
Bearden, W. O., Sharma, S., & Teel, J. E. (1982). Sample Size Effects on Chi square and Other Statistics Used in Evaluating Causal Models. Journal of Marketing Research, 19(4), 425–430.
Benbasat, I. and Barki, H. (2007). Quo Vadis, Technology Acceptance Model? Journal of the Association for Information Systems, 8, 212-218.
Bentler, P. M., & Bonett, D. G. (1980). Significance Tests and Goodness of Fit in The Analysis of Covariance Structures. Psychological Bulletin, 88(3), 588-606.
Bentler, P.M. & Freeman, E.H. (1983). Tests for Stability in Linear Structural Equation Systems. Psychometrika, 48, 143–145.
Burger, J. M., Soroka, S., Gonzago, K., Murphy, E., & Somervell, E. (2001). The Effect of Fleeting Attraction on Compliance to Requests. Personality and Social Psychology Bulletin, 27(12), 1578–1586.
Carsten Hirschberg., Alexander Rajko., Thomas Schumacher., & Martin Wrulich (2016). The Changing Market for Food Delivery. McKinsey & Company Report.
Compeau, D., & Higgins, C. (1995). Computer Self-Efficacy: Development of A Measure and Initial Test. MIS Quarterly, 19, 189-211.
Costantinos Berhutesfa Costantinos (2018). Public Policy Exigencies for Platform Economy & Social Media Regulation Is Politics Underhandedly Mining Social Networks? .Respublica Litereria, 12(309), 2015.
Cronbach, L. J. (1951). Coefficient Alpha and The Internal Structure of Tests. Psychometrika, 16, 297–334.
Damanpour, F. (1996). Organizational Complexity and Innovation: Developing and Testing Multiple Contingency Models. Management Science, 42, 693-716.
Davis, F., Bagozzi, R., & Warshaw, P. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.
Davis, F.D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Sloan School of Management, Massachusetts Institute of Technology.
Einar Breivik., &Ulf H Olsson (2001). Adding Variables to Improve Fit: The Effect of Model Size on Fit Assessment in LISREL. Structural Equation Modeling: Present and Future, 169-194.
Everett M Rogers (1962). Diffusion of Innovations (1st ed.). New York: Free Press of Glencoe.
Everett M Rogers (1983). Diffusion of Innovations (3rd ed.). New York: Free Press of Glencoe.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50.
Fumei Weng ., Rong-Jou Yang., Hann-Jang Ho ., & Hui-Mei Su (2018). A TAM-Based Study of the Attitude towards Use Intention of Multimedia among School Teachers. Applied System Innovation, 1(3), 36.
Gary P. Latham., & Lise M. Saari (1979). The Application of Social Learning Theory to Training Supervisors Through Behavioral Modeling. Journal of Applied Psychology, 64(3), 239-246.
Geoffrey G. Parker (2016). Platform Revolution: How Networked Markets Are Transforming the Economy - and How to Make Them Work for You.New York City: W. W. Norton & Company.
Harry C. Triandis (1977). Subjective Culture and Interpersonal Relations Across Cultures. Annals of the New York Academy of Sciences, 285(1), 418-434.
He, Zhou., Han, Guanghua.,  Cheng, T.C.E., Fan, Bo ., & Dong, Jichang (2019). Evolutionary Food Quality and Location Strategies for Restaurants in Competitive Online-to-Offline Food Ordering and Delivery Markets: An Agent-based Approach. International Journal of Production Economics, Elsevier, 215(C), 61-72.
Hu, L. T., & Bentler, P. M. (1995). Evaluating Model Fit. In R. H. Hoyle (Ed.), Structural Equation Modeling: Concepts, Issues and Application, 77-99.
Hu, L.-t., & 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.
Jonathan Kauffman (2017). The Rise of The Modern Food Cooperative. San Francisco, CA.
Joseph F Hair (1998). Multivariate Data Analysis with Readings. Englewood Cliffs, NJ: Prentice-Hall.
Karl G. Jöreskog (1973). A General Method for Estimating a Linear Structural Equation System. Structural Equation Models in the Social Sciences. New York, London, 85-112.
Kimes, S. E., & Laque, P. (2011). Online, Mobile, and Text Food oOdering in the U.S. Restaurant Industry. Cornell Hospitality Report, 11(7), 6-15.
LaCaille L. (2013). Eating Behavior. Gellman M.D., Turner J.R. (eds) Encyclopedia of Behavioral Medicine. Springer, New York, NY.
Likert, R. (1932). A Technique for the Measurement of Attitudes. Archives of Psychology, 22(140), 55.
MacCallum, R. C., & Hong, S. (1997). Power Analysis in Covariance Structure Modeling Using GFI and AGFI. Multivariate Behavioral Research, 32, 193-210.
Martin Fishbein & Icek Ajzen (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (Addison-Wesley series in social psychology).U.S.A.: Addison-Wesley.
Milhausen, R. R., Reece, M., & Perera, B. (2006). A Theory-Based Approach to Understanding Sexual Behavior at Mardi Gras. Journal of Sex Research, 43(2), 97–106.
Mohammad Ahmar Uddin., Ahmar Farkhanda., & Mansour Naser Alraja (2016). E-examinations for Management Students in Oman. International Journal of Applied Business and Economic Research : Articles, 14(1), 87-95.
Moore, G.C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2, 173-191.
Muhammad Rizwan., Muhammad Hassan., Rizwan Qaiser Danish., &Amina Riaz Ali.(2017). Consumer's Characteristics and Social Influence Factors on Green Purchasing Intentions. Pakistan Journal of Life & Social Sciences, 15(1), 24-30.
Neyman, J., & Pearson, E.S. (1928). On the Use and Interpretation of Certain Test Criteria for Purposes of Statistical Inference. Biometrika, 20A, 175-240.
Nyesiga Catherine., Dr. Kituyi Mayoka Geofrey., Assoc. Prof. Musa B. Moya., &Grace Aballo (2017). Effort Expectancy, Performance Expectancy, Social Influence and Facilitating Conditions as Predictors of Behavioural Intentions to Use ATMs with Fingerprint Authentication in Ugandan Banks. Global Journal of Computer Science and Technology: E Network, Web & Security, 17(5), 4-22.
Paolo Spagnoletti., Andrea Resca., & Gwanhoo Lee (2015). A Design Theory for Digital Platforms Supporting Online Communities: A Multiple Case Study. Journal of Information Technology, 30(4), 364-380.
Pearson, K. (1901). On Lines and Planes of Closest Fit to Systems of Points in Space. Philosophical Magazine, 2, 559-572.
Petty, R. E., Cacioppo, J. T., & Goldman, R. (1981). Personal Involvement as A Determinant of Argument-Based Persuasion. Journal of Personality and Social Psychology, 41(5), 847–855.
Ramon Palau-Saumell., Santiago Forgas-Coll., Javier Sánchez-García., & Emilio Robres (2019). User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2. Sustainability, 11(4), 1210.
Richard Kumi., Iris Reychav., & Rajiv Sabherwal.(2012). The Impact of Facilitating Conditions on Anxiety, Attitude, Self-Efficacy, And Performance: Insights from an Empirical Study of iPad Adoption. Proceedings of the AIS SIGED IAIM 2012 Conference , 1-14.
Schaper, L.K., & Pervan, G.P. (2007). ICT and OTs: A Model of Information and Communication Technology Acceptance and Utilisation by Occupational Therapists. International Journal of Medical Informatics, 76, 212-221.
Schumacker, R. E., & Lomax, R. G. (2004). A Beginner's Guide to Structural Equation Modeling (2nd ed.). Lawrence Erlbaum Associates Publishers.
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research. Journal of Consumer Research, 15(3), 325–343.
Sodiq Onaolapo., &Olawale Oyewole (2018). Performance Expectancy, Effort Expectancy, and Facilitating Conditions as Factors Influencing Smart Phones Use for Mobile Learning by Postgraduate Students of the University of Ibadan, Nigeria. Interdisciplinary Journal of e-Skills and Lifelong Learning,14.
Taylor, S., & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6, 144-176.
Thompson, R., Higgins, C., & Howell, J. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1), 124–143.
Ullman, J. B. (2001). Structural Equation Modeling. B. G. Tabachnick, & L. S. Fidell (Eds.), Using Multivariate Statistics. Boston, MA: Pearson Education.
Vallerand, R. J. (1997). Toward a Hierarchical Model of Intrinsic and Extrinsic Motivation. In M. P. Zanna (Ed.), Advances in Experimental Social Psychology, 29, 271-360. New York: Academic Press.
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186‐204.
Venkatesh, V., & Davis, F.D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27, 451-481.
Venkatesh, V., Morris., & Davis (2003). User Acceptance of Information Technology: Toward a Unified View.MIS Quarterly, 27, 425–478.
Wajeeha Aslam., Marija Ham., & Imtiaz Arif (2017). Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan. Market-Tržište, 29(2), 161-176.
William J. Doll., Weidong Xia., & Gholamreza Torkzadeh (1994). A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument.MIS Quarterly, 18(4), 453-461.





三、網路文獻
Alex Moazed (2016). Platform Business Model – Definition | What is it? | Explanation.APPLICO.From:
https://dmz26.moea.gov.tw/GMWeb/investigate/InvestigateEA.aspx

Karst Kortekaas (2018). Global mobile market report 2018. Newzoo.From :
https://resources.newzoo.com/hubfs/Reports/Newzoo_2018_Global_Mobile_Market_Report_Free.pdf?__hstc=133451409.c692b14d2cc08ee5acdd8bb8430431ff.1571998824440.1571998824440.1571998824440.1&__hssc=133451409.2.1571998824441

Online Food Delivery-worldwide(2019). Statista,From :
https://www.statista.com/outlook/374/100/online-food-delivery/worldwide

勞動部職業安全署 (2019)。食品外送作業安全指引。取自https://www.mol.gov.tw/media/5761385/%e9%99%84%e4%bb%b6-%e9%a3%9f%e5%93%81%e5%a4%96%e9%80%81%e4%bd%9c%e6%a5%ad%e5%ae%89%e5%85%a8%e6%8c%87%e5%bc%9520%e7%89%88.pdf

黃家慧(2018)。Smart M瞄準快速擴張的外送市場，各路外送電商攻台搶食大餅。今周刊。取自
https://www.smartm.com.tw/article/35343632cea3

經濟部統計處(2018)。批發、零售、餐飲業統計調查報告2018。取自
https://www.moea.gov.tw/Mns/dos/bulletin/Bulletin.aspx?kind=8&html=1&menu_id=6727

蕭裕品(2019)。美食外送App土洋爭霸 搶賺225億「懶人財」。遠見雜誌，2019年8月號。取自
https://www.gvm.com.tw/article/67463