進階搜尋


   電子論文尚未授權公開,紙本請查館藏目錄
(※如查詢不到或館藏狀況顯示「閉架不公開」,表示該本論文不在書庫,無法取用。)
系統識別號 U0026-1906201917032100
論文名稱(中文) 探討智慧服務科技應用於無人商店之影響消費者購買意圖之研究-以7-11 無人商店X-Store為例
論文名稱(英文) A study of the effects of intelligent services technology applied to unmanned stores on consumers' purchasing intentions - A case of X-store unmanned stores in 7-11.
校院名稱 成功大學
系所名稱(中) 工業與資訊管理學系碩士在職專班
系所名稱(英) Department of Industrial and Information Management (on the job class)
學年度 107
學期 2
出版年 108
研究生(中文) 洪晨峰
研究生(英文) Chen-Feng Hung
學號 R37061058
學位類別 碩士
語文別 中文
論文頁數 87頁
口試委員 指導教授-王維聰
口試委員-何淑君
口試委員-陳信宏
中文關鍵字 智慧化無人商店  科技接受模式  創新擴散理論 
英文關鍵字 Intelligent unmanned store  Technology acceptance model  Innovation diffusion theory 
學科別分類
中文摘要 零售貼近我們的生活,在生活中不可或缺,而且是生活息息相關的。然而隨著科技的進步,人工智慧與物聯網的發展,加上大環境的變化,人口老化、少子化、勞動成本的提昇等等問題,未來降低並減少人力的負擔勢在必行,智慧化無人商店便因應而生。台灣統一超商打造的智慧化無人商店X-Store,整合多種科技,減少店內人力的配置,以智慧零售為基礎,創造更有價值的服務及購物體驗。因此,本研究主要想探討使用智慧服務科技的無人商店X-Store對於消費者購買意圖的影響,並以科技接受模式為理論基礎下再結合創新擴散理論來進行智慧化無人商店的研究。
本研究計對使用過智慧化無人商店X-Store的消費者進行網路電子問卷的調查,全部總共回收242份有效問卷,並透過結構方程模式的最小平方法(PLS)來驗證其研究模型。最後研究分析結果顯示使用態度對購買意圖有顯著且正向的影響,相對優勢、相容性、可觀察性對使用態度有顯著且正向的影響,另外知覺易用性對知覺有用性有顯著且正向的影響,知覺有用性對使用態度有顯著且正向的影響。期許研究之成果能提供業者在建置或推廣導入智慧化無人商店時的修正方向與營運之參考。
英文摘要 Retail stores are closely related to our lives. It's also indispensable. As technologies advance, the artificial intelligence and the internet develop, environments change, populations grow older, declining birth rate and high labor costs and so on, it is imperative to reduce the burden of manpower in the future. As a result, the intelligent unmanned stores are created. 7-Eleven Taiwan's operator President Chain Store Corporation has opened intelligent unmanned stores X-Store. Many of new technologies will be used to reduce the human resource allocation. And they are based on intelligent retail to create more valuable services and shopping experiences. Therefore, the purpose of this study was to investigate the effects of intelligent technology services applied to unmanned stores on consumers' purchasing intentions by technology acceptance model (TAM) and innovation diffusion theory (IDT). The method to carry out this study was using a survey. Subjects were the consumers of unmanned stores X-Store. A total of 242 valid questionnaires were collected. The analysis used the structure equation model (SEM) and the partial least squares (PLS). The results reveal that the perceived ease of use is significantly related to the perceived usefulness. The perceived usefulness is significantly related to the attitude toward using. In addition, the attitude toward using is significantly related to the behavioral intention to use. Relative advantage, compatibility and observability is significantly related to the attitude toward using. I wish the results of this study can help corporations that try to develop intelligent unmanned stores for reference.
論文目次 摘要 I
誌謝 VII
目錄 VIII
表目錄 XI
圖目錄 XII
第一章 緒論 1
第一節 研究背景與動機 2
第二節 研究目的 6
第三節 研究限制 6
第四節 研究流程 6
第二章 文獻探討 8
第一節 無人商店介紹 8
2.1.1 無人商店定義 8
2.1.2 無人商店類型 9
2.1.3 無人商店相關研究 11
第二節 智慧服務科技 12
2.2.1 電腦視覺 12
2.2.2 無線射頻辨識 13
第三節 資訊科技接受相關理論 14
2.3.1 計畫行為理論 15
2.3.2 科技接受模式 18
2.3.3 整合性科技接受模式 21
2.3.4 理論模型小結 24
第四節 創新擴散理論 26
2.4.1 創新擴散理論演進 26
2.4.2 創新使用者的類型 27
2.4.3 創新擴散的特質 28
第五節 小結 30
第三章 研究方法 31
第一節 研究架構 31
第二節 研究假設 32
第三節 研究構面之操作性定義與衡量 37
第四節 研究設計 41
第五節 資料分析方法 42
3.5.1 樣本資料分析 42
3.5.2 信度與效度的檢定 42
3.5.3 結構方程模式 43
第六節 問卷前測結果 45
第四章 資料分析 49
第一節 敘述性統計分析 49
4.1.1 資料分析 49
4.1.2 基本資料敘述性統計 50
4.1.3 研究變項敘述性統計 51
4.1.4 同質性檢定 54
4.1.5 研究變項常態性檢定 56
第二節 信度分析 58
第三節 衡量模型 60
4.3.1 收斂效度分析 60
4.3.2 區別效度分析 63
第四節 結構模型 64
第五章 結論與建議 68
第一節 研究發現與結論 68
第二節 研究貢獻 72
5.2.1 學術上貢獻與建議 72
5.2.2 實務上貢獻與建議 72
第三節 研究限制與未來研究方向 75
參考文獻 76
中文文獻 76
英文文獻 78
網站資料 83
附錄一 正式問卷 84
參考文獻 中文文獻
方美窗. (2017). 以科技接受模式結合創新擴散理論探討行動支付之使用意願. (碩士), 國立虎尾科技大學, 雲林縣.
王香惠. (2018). 智能音箱採用意願之研究 – 以創新擴散理論與科技接受模式為基礎. (碩士), 國立中興大學, 台中市.
石昌國、張金鶚、彭建文. (2002). 網路購物取貨服務對便利商店店面需求之潛在影響-以統一超商為例. 臺大管理論叢, 13(1), 67-95.
任維廉、呂堂榮、劉柏廷. (2009). 科技接受行為模式之整合分析-三個主要模式之比較MIS REVIEW: An International Journal, 15(1), 101-138.
何建樺. (2018). 以整合性科技接受模式探討應變管理資訊雲端服務使用意圖. (碩士), 國立雲林科技大學, 雲林縣.
吳奕璋. (2012). 以延伸性科技接受模型探討數位電視消費意願之研究. (碩士), 國立中興大學, 台中市.
李文馨. (2018). 虛擬實境購物之消費者使用意圖以科技接受模式與創新擴散理論探討. (碩士), 國立臺灣師範大學, 台北市.
汪柏諺. (2017). 應用電腦視覺技術做排水廊道傾斜變形之監測. (碩士), 國立中興大學, 台中市.
林怡君. (2009). 無人化商店自助服務營運模式之規劃. (碩士), 大同大學, 台北市.
唐淑儀. (2018). 以科技接受模式探討消費者對台灣行動支付APP使用意圖之研究. (碩士), 世新大學, 臺北市.
莊姍姍. (2018). 瞭解消費者對自助服務商店的持續使用行為意圖: 整合計畫行為理論與推-拉-鎖住力理論. (碩士), 建國科技大學, 彰化縣.
莊秋玉. (2010). 外部線索、知覺品質、知覺價值、與再購意圖之研究-以無人商店為例. (碩士), 國防大學管理學院, 桃園縣.
許俊傑. (2018). 海外自助旅行者對語音翻譯行動裝置之行為意圖—科技接受模式、創新擴散理論及知覺價值之整合. (碩士), 國立高雄餐旅大學, 高雄市.
陳素惠. (2010). 智慧型無人商店接受意願之研究-以Q-Shop智慧型無人商店為例. (碩士), 嶺東科技大學, 台中市.
陳筠叡. (2018). 以延伸科技接受模式探討消費者對智慧型無人商店之行為意圖─以商品特性做為調節變項. (碩士), 輔仁大學, 新北市.
陳韻如. (2018). 探討行動支付行為意圖之研究-以計畫行為理論與科技準備度觀點. (碩士), 國立臺北商業大學,
傅雲萱. (2018). 智慧化無人商店之消費者接受度調查. (碩士), 國立高雄第一科技大學, 高雄市.
楊育嘉. (2018). 以科技接受模式探討傳統人類理專與理財機器人協作的接受因素. (碩士), 國立臺灣科技大學, 台北市.
楊浩政. (2016). 以計劃行為理論(TPB)探討人臉辨識系統應用於身分識別之使用行為. (碩士), 國立臺灣科技大學, 台北市.
鄒乙菁. (2018). 以整合性科技接受模式及沉浸理論探討警員使用數位學習平台之使用意圖. (碩士), 淡江大學, 新北市.
劉秋鳳. (2018). 由計畫行為理論探討電子標籤於零售業之服務創新. (碩士), 國立臺灣科技大學, 台北市.
劉家豪. (2016). 以科技接受模型、創新擴散與感知風險探討消費者對智慧型穿戴裝置的購買意圖. (碩士), 元智大學, 桃園縣.
蔡惠宏. (2012). 智慧型無人商店行銷策略之研究-以Farmer's 好幫手為例. (碩士), 康寧大學, 台南市.
賴繪阡. (2016). 行動銀行使用意願之研究-創新擴散模型觀點. (碩士), 淡江大學, 新北市.
謝孟玲. (2018). 結合科技接受模式、創新擴散和社會支持理論探討共享平台之使用意圖. (碩士), 靜宜大學, 台中市.
蘇裕盛. (2010). RFID於智慧型商店商品管理之研究. (碩士), 靜宜大學, 台中市.
鐘政麟. (2018). 無人商店的策略實踐-以台灣零售超商為例. (碩士), 元智大學, 桃園縣.


英文文獻
Agarwal, R., & Prasad, J. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences, 28(3), 557-582.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39): Springer.
Al-Hujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2015). The imperative of influencing citizen attitude toward e-government adoption and use. Computers in Human Behavior, 53, 189-203.
Aloysius, J. A., Hoehle, H., Goodarzi, S., & Venkatesh, V. (2018). Big data initiatives in retail environments: Linking service process perceptions to shopping outcomes. Annals of operations research, 270(1-2), 25-51.
Anttiroiko, A.-V., Valkama, P., & Bailey, S. J. (2014). Smart cities in the new service economy: Building platforms for smart services. AI & SOCIETY, 29(3), 323-334.
Bamberg, S., Ajzen, I., & Schmidt, P. (2003). Choice of travel mode in the theory of planned behavior: The roles of past behavior, habit, and reasoned action. Basic and applied social psychology, 25(3), 175-187.
Chen, J. V., Yen, D. C., & Chen, K. (2009). The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics. Information & management, 46(4), 241-248.
Chen, Y.-M., Hsu, T.-H., & Lu, Y.-J. (2018). Impact of flow on mobile shopping intention. Journal of Retailing and Consumer Services, 41, 281-287.
Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS quarterly, 22(1), vii-xvi.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340.
Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. The Annals of Statistics, 7(1), 1-26.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis . Uppersaddle River. In: NJ: Pearson Prentice Hall.
Huang, T.-L., & Liao, S. (2015). A model of acceptance of augmented-reality interactive technology: The moderating role of cognitive innovativeness. Electronic Commerce Research, 15(2), 269-295.
Hwang, C. M., Chung, T. L., & Sanders, E. A. (2016). Attitudes and purchase intentions for smart clothing: Examining us consumers' functional, expressive, and aesthetic needs for solar-powered clothing. Clothing and Textiles Research Journal, 34(3), 207-222.
Ifinedo, P. (2018). Determinants of students’ continuance intention to use blogs to learn: An empirical investigation. Behaviour & Information Technology, 37(4), 381-392.
Inman, J. J., & Nikolova, H. (2017). Shopper-facing retail technology: A retailer adoption decision framework incorporating shopper attitudes and privacy concerns. Journal of Retailing, 93(1), 7-28.
Karahoca, A., Karahoca, D., & Aksoz, M. (2018). Examining intention to adopt to internet of things in healthcare technology products. Kybernetes, 47(4), 742-770.
Kline, R. B. (2015). Principles and practice of structural equation modeling: Guilford publications.
Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 50.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & management, 40(3), 191-204.
Liébana-Cabanillas, F., Ramos de Luna, I., & Montoro-Ríos, F. J. (2015). User behaviour in QR mobile payment system: The QR payment acceptance model. Technology Analysis & Strategic Management, 27(9), 1031-1049.
Lin, C. W., Hsu, Y. C., & Lin, C. Y. (2017). User perception, intention, and attitude on mobile advertising. International Journal of Mobile Communications, 15(1), 104-117.
Lu, S. S., Xiao, L., & Ding, M. (2016). A video-based automated recommender (VAR) system for garments. Marketing Science, 35(3), 484-510.
Madigan, R., Louw, T., Wilbrink, M., Schieben, A., & Merat, N. (2017). What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems. Transportation Research Part F-Traffic Psychology and Behaviour, 50, 55-64.
Mane, S. J., Pawar, K. A., Kambli, M. D., Pawar, S. K., & Student, B. (2018). An automated shopping cart using RFID. International Journal of Engineering Science, 17067.
Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222.
Pal, D., Triyason, T., Funilkul, S., & Chutimaskul, W. (2018). Smart homes and quality of life for the elderly: Perspective of competing models. Ieee Access, 6, 8109-8122.
Panagiotopoulos, I., & Dimitrakopoulos, G. (2018). An empirical investigation on consumers' intentions towards autonomous driving. Transportation Research Part C-Emerging Technologies, 95, 773-784.
Pantano, E. (2014). Innovation drivers in retail industry. International Journal of Information Management, 34(3), 344-350.
Pantano, E., & Gandini, A. (2017). Exploring the forms of sociality mediated by innovative technologies in retail settings. Computers in Human Behavior, 77, 367-373.
Pantano, E., & Priporas, C.-V. (2016). The effect of mobile retailing on consumers' purchasing experiences: A dynamic perspective. Computers in Human Behavior, 61, 548-555.
Pramanik, P. K. D., Pal, S., & Choudhury, P. (2018). Beyond automation: The cognitive IoT. Artificial intelligence brings sense to the internet of things. In Cognitive Computing for Big Data Systems Over IoT (pp. 1-37): Springer.
Ramos-de-Luna, I., Montoro-Ríos, F., & Liébana-Cabanillas, F. (2016). Determinants of the intention to use NFC technology as a payment system: An acceptance model approach. Information Systems and e-Business Management, 14(2), 293-314.
Razmak, J., & Bélanger, C. (2018). Using the technology acceptance model to predict patient attitude toward personal health records in regional communities. Information Technology & People, 31(2), 306-326.
Rogers, E. M. (1995). Diffusion of innovations: New York: Free Press.
Roy, S. K., Balaji, M. S., Quazi, A., & Quaddus, M. (2018). Predictors of customer acceptance of and resistance to smart technologies in the retail sector. Journal of Retailing and Consumer Services, 42, 147-160.
Roy, S. K., Balaji, M. S., Sadeque, S., Nguyen, B., & Melewar, T. C. (2017). Constituents and consequences of smart customer experience in retailing. Technological Forecasting and Social Change, 124, 257-270.
Seethamraju, R., Diatha, K. S., & Garg, S. (2018). Intention to use a mobile-based information technology solution for tuberculosis treatment monitoring - applying a UTAUT model. Information Systems Frontiers, 20(1), 163-181.
Shin, J., Park, Y., & Lee, D. (2018). Who will be smart home users? An analysis of adoption and diffusion of smart homes. Technological Forecasting and Social Change, 134, 246-253.
Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological methods, 7(4), 422.
Tayie, S. (2005). Research methods and writing research proposals. Cairo: Center for advancement of postgraduate studies and research in enginneering sciences, faculty of engineering.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage - A test of competing models. Information systems research, 6(2), 144-176.
Teng, J. T., Grover, V., & Guttler, W. (2002). Information technology innovations: General diffusion patterns and its relationships to innovation characteristics. IEEE transactions on engineering management, 49(1), 13-27.
Tsai, M.-C., Lee, W., & Wu, H.-C. (2010). Determinants of RFID adoption intention: Evidence from taiwanese retail chains. Information & management, 47(5), 255-261.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315.
Venkatesh, V., & Davis, F. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Vol. 46).
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Wang, C. H., & Jeong, M. (2018). What makes you choose Airbnb again? An examination of users' perceptions toward the website and their stay. International Journal of Hospitality Management, 74, 162-170.
Wang, Y.-B., Lin, K.-Y., Chang, L., & Hung, J. C. (2011). A diffusion of innovations approach to investigate the RFID adoption in Taiwan logistics industry. JCP, 6(3), 441-448.
Wang, Y. Y., Lin, H. H., Wang, Y. S., Shih, Y. W., & Wang, S. T. (2018). What drives users' intentions to purchase a GPS Navigation app The moderating role of perceived availability of free substitutes. Internet Research, 28(1), 251-274.
Yoo, W., Yu, E., & Jung, J. (2018). Drone delivery: Factors affecting the public’s attitude and intention to adopt. Telematics and Informatics, 35(6), 1687-1700.
Yuen, K. F., Wang, X., Ng, L. T. W., & Wong, Y. D. (2018). An investigation of customers’ intention to use self-collection services for last-mile delivery. Transport Policy, 66, 1-8.
Zhao, J., Fang, S. P., & Jin, P. Q. (2018). Modeling and Quantifying User Acceptance of Personalized Business Modes Based on TAM, Trust and Attitude. Sustainability, 10(2).


Amazon. (2016). Amazon Go: Frequently asked questions. 取自 https://www.amazon.com/b?node=16008589011
工業技術研究院. (2018). 無人商店來了 智慧新零售時代來臨. 317期2018年04月號. 取自 https://www.itri.org.tw/chi/WebTools/FilesDownload.ashx?Siteid=1&MmmID=2000&fd=PublicationsPeriods_Files&Pname=it_monthly-317_20180413164536.pdf
企業通. (2016). 跨界融合 生產力4.0全面開戰. 取自
http://mag.digiwin.com/跨界融合-生產力4-0全面開戰
艾媒諮詢. (2017). 2017中國無人零售商店專題研究報告. 取自 http://www.iimedia.cn/52970.html
行政院. (2015). 行政院生產力4.0發展方案. 取自 https://www.bost.ey.gov.tw/Upload/UserFiles/%E8%A1%8C%E6%94%BF%E9%99%A2%E7%94%9F%E7%94%A2%E5%8A%9B4_0%E7%99%BC%E5%B1%95%E6%96%B9%E6%A1%88(2).pdf
余孝先. (2018). 無人商店引領嶄新消費模式. 取自 https://www.itri.org.tw/chi/Content/Publications/contents.aspx?SiteID=1&MmmID=2000&MSid=1000606114405125007
統一超商. (2018). 台灣無人商店的想像「X-STORE」. 取自 https://www.7-11.com.tw/company/news_page.asp?dId=630
楊欣曄. (2018). 結帳免排隊-電腦視覺自助結帳服務. 取自 https://ictjournal.itri.org.tw/Content/Messagess/contents.aspx?MmmID=654304432122064271&MSID=1001517136271273413
經濟部統計處. (2018). 便利商店營業額屢創新高《產業經濟統計簡訊》309期. 取自 https://www.moea.gov.tw/Mns/DOS/bulletin/wHandBulletin_File.ashx?file_id=15090
資策會產業情報研究所. (2017). 消費者網購行為分析. 取自 https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=464
資策會產業情報研究所. (2019). 【行動支付大調查】消費者愛好排名變動 本土業者成長幅度最大. 取自 https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=504
戴凡真. (2018). 新零售 不等於無人店. 取自 https://money.udn.com/money/story/5629/2959075


論文全文使用權限
  • 同意授權校內瀏覽/列印電子全文服務,於2029-06-19起公開。
  • 同意授權校外瀏覽/列印電子全文服務,於2029-06-19起公開。


  • 如您有疑問,請聯絡圖書館
    聯絡電話:(06)2757575#65773
    聯絡E-mail:etds@email.ncku.edu.tw