博碩士論文 109421050 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:138 、訪客IP:3.145.173.112
姓名 沈翎羽(Ling-Yu Shen)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 影響顧客至無人商店購物意願的因素之研究
(The factors about affecting consumers′ willingness to shopping in unmanned stores)
相關論文
★ 在社群網站上作互動推薦及研究使用者行為對其效果之影響★ 以AHP法探討伺服器品牌大廠的供應商遴選指標的權重決定分析
★ 以AHP法探討智慧型手機產業營運中心區位選擇考量關鍵因素之研究★ 太陽能光電產業經營績效評估-應用資料包絡分析法
★ 建構國家太陽能電池產業競爭力比較模式之研究★ 以序列採礦方法探討景氣指標與進出口值的關聯
★ ERP專案成員組合對績效影響之研究★ 推薦期刊文章至適合學科類別之研究
★ 品牌故事分析與比較-以古早味美食產業為例★ 以方法目的鏈比較Starbucks與Cama吸引消費者購買因素
★ 探討創意店家創業價值之研究- 以赤峰街、民生社區為例★ 以領先指標預測企業長短期借款變化之研究
★ 應用層級分析法遴選電競筆記型電腦鍵盤供應商之關鍵因子探討★ 以互惠及利他行為探討信任關係對知識分享之影響
★ 結合人格特質與海報主色以類神經網路推薦電影之研究★ 資料視覺化圖表與議題之關聯
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 近五年來,新零售模式概念迅速展開,從Amazon Go開始到現在Bingo Box無人商店在中國大量擴展,全球開始走向科技化的世代,隨著科技化帶給人們更便利、安全的新體驗,科技也漸漸融入人們的日常當中,不僅改變了原本的工作方式,甚至改變了消費習慣以及生活型態,近年來隨著科技的進步,智能商店、無人商店就此悄悄的誕生萌芽,面對新科技產生的影響,因此了解顧客在無人商店之購物意願顯得極為重要。
本研究使用中國Bingo Box 無人便利商店之顧客作為研究對象,以發問卷的形式蒐集研究資料,再利用結構模型進行統計分析,調查顧客在無人商店購買商品後的感受。透過科技準備度結合顧客認知價值來研究顧客購買意向,建構出影響顧客至無人商店購物意願的因素,再加入了快速交易結帳作為干擾變數,進一步探討如果交易速度增快,是否更吸引顧客上前光顧無人商店。研究結果顯示,顧客的樂觀情緒會影響享樂價值中的購物享受樂趣,創新會影響功利價值與購物享受樂趣,再者認知價值與顧客購買意向有顯著影響,最後快速交易結帳干擾因素也會影響在購物享受樂趣至顧客購買意向中。本篇研究結果可以提供給零售管理業者在管理無人商店中使用。
摘要(英) In the past five years, the concept of the new retail model has been developed rapidly. From the beginning of Amazon Go to the present Bingo Box unmanned stores have been greatly expanded in China. The world has begun to move towards the generation of technology. As technology brings people more convenient and safety of new experiences, technology has also gradually integrated into people′s daily life, not only changing the original working method, but even changing the consumption habits and lifestyle. From the original retail store operation mode, it not only consumes operating costs and personnel costs, but also increases the possibility of idle inventory. In recent years, with the advancement of technology, smart stores and unmanned stores have been quietly born. In order to face the impact of new technologies, it is extremely important to understand customers′ shopping behavior intention in unmanned stores.
This study takes the customers of the Bingo Box unmanned convenience store as the research object, collects research data in the form of questionnaires, and then uses the structural model for statistical analysis to investigate customers′ feelings after purchasing goods in the unmanned store. This research studies customer behavior intentions through technology readiness combined with customer cognitive value, constructs factors that affect customers′ willingness to shop in unmanned stores, and then adds fast transaction checkout as a disturbance variable to further explore whether it is more attractive if the transaction speed increases customers come forward to patronize the unmanned store. We observed that all hypotheses were supported by the study results, except for optimism and fast transaction checkout interference factors to utilitarian value and customer behavior intention. The study findings can serve as a reference for retail management personnel in unmanned store features to promote customer behavior intention.
關鍵字(中) ★ 無人商店
★ 科技準備度
★ 享樂價值
★ 功利價值
★ 快速交易結帳
★ 顧客購買意向
關鍵字(英) ★ Unmanned store
★ Technology Readiness
★ Hedonic value
★ Utilitarian value
★ Transaction convenience
★ Customer behavior intention
論文目次 摘要 i
誌謝 iv
目錄 v
圖目錄 vii
表目錄 viii
第一章 緒論 1
1-1 研究背景 1
1-2 研究動機 2
1-3 研究目的 3
1-4 研究架構 3
第二章 文獻探討 5
2-1 無人商店中顧客的行為模式 5
2-2 影響在無人商店消費意圖的因素探討 7
2-3 科技準備度 8
2-4 感知價值:功利價值和享樂價值 10
2-4-1 感知價值:功利價值 10
2-4-2 感知價值:享樂價值之購物享受樂趣 11
第三章 研究方法 12
3-1 研究假設 12
3-2 操作型構面定義 18
第四章 研究結果 22
4-1 資料蒐集與分析 22
4-2 敘述性統計分析 23
4-3 測量模型分析 26
4-4 結構方程模型分析 29
4-5 討論 33
4-6 管理意涵 34
第五章 結論與未來研究之建議 35
5-1 研究結論 35
5-2 研究限制與未來建議 36
第六章 參考文獻 37
附錄 45
附錄一 問卷 45
附錄二 問項原文內容 48

參考文獻 范慧宜:< 無人商店將是未來虛實整合主流?>,2021.11.09 , https://view.ctee.com.tw/business/33765.html
鄭煌鎰; 洪健菖; 陳建志. 結合 SLAM, 雲端系統與影像辨識之無人商店車. TANET2019 臺灣網際網路研討會, 2019, 690-695.
智慧新零售 透視無人商店未來趨勢 。凱絡媒體週報。2020/07/02。出自於:https://itritech.itri.org.tw/blog/unmanned-store_smart-shelves/
楊欣曄. 結帳免排隊-電腦視覺自助結帳服務. 電腦與通訊, 2018, 174: 72-75.
陳志昌. (2018). 快速結帳: 智慧型行動裝置的應用.
郭仁宗, et al. 探討影響消費者持續使用智慧化無人商店意願之研究. 屏東大學學報-管理類, 2020, 3: 1-26.Schiffman, Leon G. & Leslie Lazer Kanuk(1991), Consumer Behavior, Prentice Hall, New Jersey.
李開復; 王詠剛. 人工智慧來了. 遠見天下文化出版股份有限公司, 2017.
小川孔輔 請支援收銀!結帳時間縮短一秒,營收竟能增加上億元?來源:https://www.managertoday.com.tw/books/view/59880 經理人
Polacco, A. & Backes, K. (2018). The Amazon Go concept: Implications, applications, and sustainability. Journal of Business and Management, 24 (1), March, 79-92. DOI: 10.6347/JBM.201803_24(1).0004.
Willems, K., Smolders, A., Brengman, M., Luyten, K., Scho¨ning, J., 2017. The path-to- purchase is paved with digital opportunities: an inventory of shopper-oriented retail technologies. Technol. Forecast. Soc. Change 124, 228–242
Pantano, E. and Di Pietro, L. (2012) “Understanding Consumer’s Acceptance of Technology-Based Innovations in Retailing”, Journal of Technology Management & Innovation. Santiago, Chile, 7(4), pp. 1–19. doi: 10.4067/S0718-27242012000400001.
Holdack, Eric & Lurie, Katja & Fromme, Harro. (2020). The role of perceived enjoyment and perceived informativeness in assessing the acceptance of AR wearables. Journal of Retailing and Consumer Services. 65. 10.1016/j.jretconser.2020.102259.
Thomas Chatzidimitris, Damianos Gavalas, Vlasios Kasapakis, Charalampos Konstantopoulos, Damianos Kypriadis, Grammati Pantziou, and Christos Zaroliagis. 2020. A location history-aware recommender system for smart retail environments. Personal Ubiquitous Comput. 24, 5 (Oct 2020), 683–694. https://doi.org/10.1007/s00779-020-01374-7
Roy et al.,Predictors of customer acceptance of and resistance to smart technologies in the retail sector,J. Retailing Consum. Serv.(2018)
Gao, L. and X. Bai (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26, pp. 211-231.
Garaus, Marion & Wagner, Udo & Kummer, Claudia. (2015). Cognitive fit, retail shopper confusion, and shopping value: Empirical investigation. Journal of Business Research. 68. 10.1016/j.jbusres.2014.10.002.
Inman, J. Jeffrey, and Nikolova, Hristina. (2017). Shopper-Facing Retail Technology:A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns. Journal of Retailing, 93(1), pp.7-28.
Lee, Hyun-Joo, and Lyu, Jewon. (2016). Personal values as determinants of intentions to use self-service technology in retailing. Computers in Human Behavior, 60, pp. 322-332.
Wu, Hung-Che, Ai, Chi-Han, & Cheng, Ching-Chan. (2019).Experiential quality,experiential psychological states and experiential outcomes in an unmannedconvenience store. Journal of Retailing and Consumer Services, 51, 409-420.
CHANG, Yu-Wei; CHEN, Jiahe. What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness. Journal of Retailing and Consumer Services, 2021, 58: 102325.
All Tech Asia Project. [online] https://medium.com/@actallchinatech/amazons-store-of-the-future-is-fast-becoming-china-s-stores-of-the-present-2c7f483b03ec (Accessed 9 Aug2021)
.Engel, James. F., Blackwell, Roger D. and Miniard, Paul W.(1993), Consumer Behavior, 7thed, The Dryden Press, Chicago.
B. Guo, Z. Wang, P. Wang, T. Xin, D. Zhang and Z. Yu, "DeepStore: Understanding Customer Behaviors in Unmanned Stores," in IT Professional, vol. 22, no. 3, pp. 55-63, 1 May-June 2020, doi: 10.1109/MITP.2019.2928272.
Kotler, P. (2000) Marketing Management: The Millennium Edition. Person Prentice Hall, Upper Saddle River.
Pantano, Eleonora & Servidio, Rocco, 2012. "Modeling innovative points of sales through virtual and immersive technologies," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 279-286.
C.-V. Priporas et al."Generation Z consumers′ expectations of interactions in smart retailing: a future agenda" Comput. Hum. Behav.(2017)
Foroudi, Pantea & Jin, Zhongqi & Gupta, Suraksha & Foroudi, Mohammad & Kitchen, Kotler. (2018). Perceptional components of brand equity: Configuring the Symmetrical and Asymmetrical Paths to brand loyalty and brand purchase intention. Journal of Business Research. 89. 10.1016/j.jbusres.2018.01.031.
Kallweit, Katrin & Spreer, Philipp & Toporowski, Waldemar. (2014). Why do Customers Use Self-Service Information Technologies in Retail? The Mediating Effect of Perceived Service Quality. Journal of Retailing and Consumer Services. 21. 268-276. 10.1016/j.jretconser.2014.02.002.
Anderson, R. E., & Srinivasan, S. S. (2003). E-satisfaction and eloyalty: A contingency framework. Psychology and Marketing, 20(2), 123-138.
AAKER, David A. Building strong brands. Simon and Schuster, 2012.
Claudy, M. C., Garcia, R., & O’Driscoll, A. (2015). Consumer resistance to innovation—A behavioral reasoning perspective. Journal of the Academy of Marketing Science, 43(4), 528–544.
Parasuraman, A., & Colby, C. L. (2015). An updated and streamlined technology readiness index: TRI 2.0. Journal of Service Research, 18(1), 59–74.
Westjohn, S. A., Arnold, M. J., Magnusson, P., Zdravkovic, S., & Zhou, J. X. (2009). Technology readiness and usage: A global-identity perspective. Journal of the Academy of Marketing Science, 37(3), 250–265.
Nugroho et al.,Effects of technology readiness towards acceptance of mandatory web-based attendance system,Procedia Comput. Sci.(2017)
Lam, S. Y., Chiang, J., & Parasuraman, A. (2008). The effects of the dimensions of technology readiness on technology acceptance: An empirical analysis. Journal of Interactive Marketing, 22(4), 19–39.
Son, M., & Han, K. (2011). Beyond the technology adoption: Technology readiness effects on post-adoption behavior. Journal of Business Research, 64(11), 1178–1182.
Liljander, V., Gillberg, F., Gummerus, J., & Van Riel, A. (2006). Technology readiness and the evaluation and adoption of self-service technologies. Journal of Retailing and Consumer Services, 13(3), 177–191.
Jin, C. (2013). The perspective of a revised TRAM on social capital building: The case of Facebook usage. Information and Management, 50(4), 162–168.
Dutot, V. (2014). Adoption of social media using technology acceptance model: The generational effect. International Journal of Technology and Human Interaction, 10(4), 18–35.
Maier, E. (2016). Supply and demand on crowdlending platforms: Connecting small and medium-sized enterprise borrowers and consumer investors. Journal of Retailing and Consumer Services, 33, 143–153.
Midgley, D. F., & Dowling, G. R. (1978). Innovativeness: The concept and its measurement. Journal of consumer research, 4(4), 229-242.
Hirschman, E.C., Holbrook, M.B., 1982. Hedonic consumption: emerging concepts, methods and propositions. J. Mark. 46 (3), 92–101.
ROGERS, Everett M. Diffusion of Innovations: modifications of a model for telecommunications. In: Die diffusion von innovationen in der telekommunikation. Springer, Berlin, Heidelberg, 1995. p. 25-38.
Fernández, R. S., & Bonillo, M. Á. I. (2007). The concept of perceived value: A systematic review of the research. Marketing Theory, 7(4), 427-451.
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644-656.
Batra, R., Ahtola, O.T., 1991. Measuring the hedonic and utilitarian sources of consumer attitudes. Mark. Lett. 2 (2), 159–170.
Jarvenpaa and Todd, 1997,S.L. Jarvenpaa, P.A. Todd,Consumer reactions to electronic shopping on the World Wide Web,Int J Electron Commer, 1 (2) (1997), pp. 59-88,[Winter]
Teo, 2001,T. Teo,Demographic and motivation variables associated with Internet usage activities,Internet Res, 11 (2) (2001), pp. 125-13
Grewal et al., 2003,D. Grewal, R.I. Gopalkrishnan, R. Krishnan, A. Sharma,The Internet and the price-value-loyalty chain,J Bus Res, 56 (5) (2003), pp. 391-398
Mathwick et al., 2001,C. Mathwick, N. Malhotra, E. Rigdon Experiential value: conceptualization, measurement, and application in the catalog and Internet shopping environment,J Retail, 77 (2001), pp. 39-56
Kim, H.-Y., Lee, J.Y., Mun, J.M., Johnson, K.K., 2017. Consumer adoption of smart in-store technology: assessing the predictive value of attitude versus beliefs in the technology acceptance model. Int. J. Fash. Des. Technol. Educ. 10 (1), 26–36.
Kallweit, K., Spreer, P., Toporowski, W., 2014. Why do customers use self-service information technologies in retail? The mediating effect of perceived service quality.J. Retailing Consum. Serv. 21 (3), 268–276.
Chatzidimitris, T., Gavalas, D., Kasapakis, V., Konstantopoulos, C., Kypriadis, D.,Pantziou, G., Zaroliagis, C., 2020. A location history-aware recommender system for smart retail environments. Personal Ubiquitous Comput. 1–12
Zeithaml, 1988,V.A. Zeithaml,Consumer perceptions of price, quality and value: a means-end model and synthesis of evidence,J Mark, 52 (1988), pp. 2-22,[July]
To, P. L., Liao, C., & Lin, T. H. (2007). Shopping motivations on Internet: A study based on utilitarian and hedonic value. Technovation, 27(12), 774-787.
Hirschman, E.C., Holbrook, M.B., 1982. Hedonic consumption: emerging concepts, methods and propositions. J. Mark. 46 (3), 92–101.
Anderson, K.C., Knight, D.K., Pookulangara, S., Josiam, B., 2014. Influence of hedonic and utilitarian motivations on retailer loyalty and purchase intention: a facebook perspective. J. Retailing Consum. Serv. 21 (5), 773–779.
VAN DER HEIJDEN, Hans. User acceptance of hedonic information systems. MIS quarterly, 2004, 695-704.
Elliott, Kevin et al. “The Influence of Technology Readiness on the Evaluation of Self-Service Technology Attributes and Resulting Attitude Toward Technology Usage.” Services Marketing Quarterly 33 (2012): 311 - 329.
Kuo KM, Liu CF, Ma CC. An investigation of the effect of nurses′ technology readiness on the acceptance of mobile electronic medical record systems. BMC Med Inform Decis Mak. 2013 Aug 12;13:88. doi: 10.1186/1472-6947-13-88. PMID: 23938040; PMCID: PMC3750758.
SPROTLES, George B.; KENDALL, Elizabeth L. A methodology for profiling consumers′ decision‐making styles. Journal of Consumer Affairs, 1986, 20.2: 267-279.
HARTMAN, Jonathan B.; SAMRA, Yassir M. Impact of personal values and innovativeness on hedonic and utilitarian aspects of web use: An empirical study among United States teenagers. International Journal of Management, 2008, 25.1: 77.
SLADE, Emma L., et al. Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychology & Marketing, 2015, 32.8: 860-873.
Bei, Lien-Ti and Chen, Ming-Yi (2015), “The effects of hedonic and utilitarian bidding values on e-auction behavior,” Electronic Commerce Research, 15(4), 483-507.
Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003). Measuring the Hedonic and Utilitarian Dimensions of Consumer Attitude. Journal of Marketing Research, 40(3), 310–320. https://doi.org/10.1509/jmkr.40.3.310.19238
Jeffrey W. Overby, Eun-Ju Lee,The effects of utilitarian and hedonic online shopping value on consumer preference and intentions,Journal of Business Research,Volume 59, Issues 10–11,2006,Pages 1160-1166,https://doi.org/10.1016/j.jbusres.2006.03.008.
Bauer , H. H. , Falk , T. , & Hammerschmidt , M. ( 2006 ). eTransQual: A transaction process-based approach for capturing service quality in online shopping . Journal of Business Research , 59 , 866 – 875 .
TIFFERET, Sigal; HERSTEIN, Ram. Gender differences in brand commitment, impulse buying, and hedonic consumption. Journal of product & brand management, 2012.
CARDOSO, Paulo Ribeiro; PINTO, Sara Carvalho. Hedonic and utilitarian shopping motivations among Portuguese young adult consumers. International Journal of Retail & Distribution Management, 2010.
CHANDRA, Shalini; SRIVASTAVA, Shirish C.; THENG, Yin-Leng. Cognitive absorption and trust for workplace collaboration in virtual worlds: An information processing decision making perspective. Journal of the Association for Information Systems, 2012, 13.10: 3.
AJZEN, Icek; FISHBEIN, Martin. Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological bulletin, 1977, 84.5: 888.
KUMAR, Piyush; KALWANI, Manohar U.; DADA, Maqbool. The impact of waiting time guarantees on customers′ waiting experiences. Marketing science, 1997, 16.4: 295-314.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Bagozzi, R., & Yi, Y. (1988) . On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.
Eleonora Pantano, Harry Timmermans,What is Smart for Retailing?,Procedia Environmental Sciences,Volume 22,2014,Pages 101-107,ISSN 1878-0296, https://doi.org/10.1016/j.proenv.2014.11.010.
Kline, R.B., 1998. Principles and Practice of Structural Equation Modeling. Guilford Press, New York.
HAIR JR, Joe F., et al. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European business review, 2014.
FLOYD, Donna L.; PRENTICE‐DUNN, Steven; ROGERS, Ronald W. A meta‐analysis of research on protection motivation theory. Journal of applied social psychology, 2000, 30.2: 407-429.
指導教授 許秉瑜 審核日期 2023-1-11
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明