簡易檢索 / 詳目顯示

研究生: 陳明里
Chen, Ming-Li
論文名稱: 智慧零售科技創新意識對知覺價值及知覺行為控制影響購買意圖之研究
Technological Innovativeness Predicts Perceived Value and Perceived Behavioral Control that Reflect Purchasing Intention in Intelligent Retail Shopping
指導教授: 洪榮昭
Hong, Jon-Chao
學位類別: 碩士
Master
系所名稱: 高階經理人企業管理碩士在職專班(EMBA)
Executive Master of Business Administration
論文出版年: 2020
畢業學年度: 108
語文別: 中文
論文頁數: 88
中文關鍵詞: 智慧零售科技創新意識知覺價值知覺行為控制購買意圖
英文關鍵詞: Smart retail, technological innovativeness, perceived value, perceived behavior control, intention to purchase
DOI URL: http://doi.org/10.6345/NTNU202000505
論文種類: 學術論文
相關次數: 點閱:221下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 自2017年AliResearch發表「新零售研究報告」起,線上對應線下實體商店O2O(Online To Offline)便成為許多零售業之數位轉型攻略,新零售以消費者體驗為中心,透過網際網路及實體場域,使數據驅動應用與商業邏輯深度結合。隨著資通訊科技的進步,智慧零售加深新零售的廣度,以消費者的需求與體驗出發,跨越線上及線下,並善用社交工具精準行銷,利用新技術無縫接軌全通路場景,透過消費歷程的數據分析,預測消費趨勢,實現消費者個人化需求滿足。
    從企業面向觀察,智慧零售是由營運模式、商業價值、消費體驗、組織文化、供應鏈管理等各面向的數位轉型過程,將商品管理、物流管理、支付機制、售後服務、庫存管理、銷售通路無縫整合並優化配置。未來隨著科技應用更加快速地融入各式跨域場景,智慧零售應是未來零售業的發展趨勢,了解消費者對於智慧零售之購買意圖,將可作為智慧零售規劃之參考。
    傳統研究認為消費者滿意度是影響消費者購買意圖的重要因素,但近來愈來愈多的學者主張知覺價值才能驅動消費者之購買意圖及品牌忠誠度。對於以科技創新應用與互動體驗為主軸的智慧零售而言,合併探討消費者有關科技創新特質及知覺價值應具有其研究價值。
    本研究目的在探討影響消費者對於智慧零售購買意圖之相關因素,建構以科技創新意識為自變項,知覺價值及知覺行為控制為中介變項,購買意圖為依變項,以普羅大眾為研究樣本進行問卷調查。經研究結果顯示,科技創新意識對於知覺價值及知覺行為控制呈現顯著正向影響,知覺價值與知覺行為控制亦對於購買意圖呈現顯著正向影響,經過驗證亦顯示各變項之間存有影響力,且知覺價值與知覺行為控制具有顯著間接效果,最後將研究分析結果提供於智慧零售未來規劃之參考與建議。

    Since the “Research Report of New Retail” was published by AliResearch in 2017, O2O (Online-to-Offline) has become the digital transformation strategy of many retail industries. Centered on consumer experience, new retail deeply integrates data-driven applications with business logic through the Internet and physical fields. With progress of information and communication technology, smart retail has expanded the scope of new retail, and spanned online and offline based on consumer demand and experience. It makes a better use of social tools for precision marketing, seamlessly integrates into the omni-channel scenario by new technologies, and forecasts the consumption trend through the data analysis of the consumption process to meet the individual demands of consumers.
    From the perspective of enterprises, smart retail is a digital transformation process of operation mode, business value, consumption experience, organizational culture and supply chain management, and is to seamlessly integrate commodity management, logistics management, payment mechanism, after-sales service, inventory management and distribution channels for optimal configuration. In the future, with faster integration of technology applications into various cross-field scenarios, smart retail should be the development trend of the future retail industry, and consumers’ intentions to purchase smart retail can be used as a reference for smart retail planning.
    As for smart retail focusing on applications and interactive experience of technological innovation, it is of great research value to discuss the technological innovation characteristics and consumers’ perceived value. The purpose of this study was to explore the factors affecting consumers’ intentions to purchase smart retail by a questionnaire survey, with technological innovativeness as the independent variable, the perceived value and perceived behavioral control as the intermediate variables, the intention to purchase as the dependent variable and the general public as the study sample. The study results showed that technological innovativeness is positively associated with perceived value and perceived behavioral control, and perceived value and perceived behavioral control are positively associated with intention to purchase. The results also showed that all variables affect each other, and the perceived value and perceived behavior control have significantly indirect effects. Finally, the analysis results of this study were provided as references and suggestions for future smart retail planning.

    第一章 緒論 1 第一節 研究背景 1 第二節 研究動機與目的 9 第二章 文獻探討與研究假設 13 第一節 智慧零售 13 第二節 科技創新意識 17 第三節 知覺價值 27 第四節 計畫行為理論及知覺行為控制 32 第五節 文獻回顧小結 35 第六節 假說設定 36 第三章 研究方法 40 第一節 研究架構 40 第二節 研究流程 40 第三節 變項定義與衡量 41 第四章 研究結果 46 第一節 參與者特徵分析 46 第二節 項目分析 49 第三節 信度與效度分析 57 第四節 描述性統計分析 59 第五節 整體適配度分析 62 第六節 研究模型驗證 63 第七節 直接與間接效應分析 65 第八節 綜合討論 66 第五章 結論與建議 68 第一節 研究結論 68 第二節 研究限制 70 第三節 研究意涵及建議 71 第四節 未來研究建議 73 參考文獻 74 中文文獻 74 英文文獻 78 附錄 問卷 86

    中文文獻
    Gartner(2018)。智慧型手機搭載AI功能 研調:2022年將佔8成。取自https://ec.ltn.com.tw/article/breakingnews/2307839,搜尋日期:2020年1月31日。
    陳又齊、鍾英卉、蔡于茵、黃耿誼(2018)。新零售時代來臨 無人商店掀起國際熱潮。取自http://shuj.shu.edu.tw/blog/2018/12/09/%E6%96%B0%E9%9B%B6%E5%94%AE%E6%99%82%E4%BB%A3%E4%BE%86%E8%87%A8-%E7%84%A1%E4%BA%BA%E5%95%86%E5%BA%97%E6%8E%80%E8%B5%B7%E5%9C%8B%E9%9A%9B%E7%86%B1%E6%BD%AE/,搜尋日期:2020年1月31日。
    RICH NASS(2017)。智慧型販賣機給業者高運作時間,給使用者優良體驗。取自https://s.yam.com/EUpCS,搜尋日期:2020年1月31日。
    Unbound 無界限(2019)。商業模式圖/AIoT五層架構。取自https://elainelin99.weebly.com/aiot.html,搜尋日期:2020年2月14日。
    呂能鴻(2006)。消費者行為。臺北市:華立。
    吳明隆(2009a)。結構方程模式:AMOS的操作與應用(第二版)。台北市:五南圖書。
    吳明隆(2009b)。結構方程模式—方法與實務應用。高雄市:麗文文化。
    吳明隆(2011)。SPSS-應用統計學習實務-問卷分析與應用統計(第三版)。新北市:易習圖書。
    吳明隆、涂金堂(2014)。SPSS 與統計應用分析。臺北市:五南圖書。
    李世珍(2017)。無人商店夯 商研院:科技始終取代不了人性。取自https://news.cnyes.com/news/id/3869925,搜尋日期:2020年2月3日。
    李世珍(2019)。發展無人商店 別忽略人的溫度。取自https://www.cdri.org.tw/xcdoc/cont?xsmsid=0H270572678476094046&sid=0J098395802228307512&sq=%E7%84%A1%E4%BA%BA%E5%95%86%E5%BA%97,搜尋日期:2020年2月3日。
    李家瑩、李淑美、黃偉珉(2015)。以推敲可能模式探討消費者創新與新產品採用之影響:以智慧型手機應用程式為例。中華民國資訊管理學報,22(1),4-12。
    角井亮一(2017)。第三章物流大戰的揭幕-與亞馬遜競爭的三個策略。載於余幸娟(總編輯),物流致勝(172-173頁)。臺北:城邦文化事業股份有限公司。
    東方線上(2019)。2020年消費者生活型態趨勢調查。取自http://www.isurvey.com.tw/2_event/detail.aspx?id=338,搜尋日期:2020年4月11日。
    林鼎為(2017)。智慧取物櫃 可解決物流痛點。取自https://www.chinatimes.com/newspapers/20170623000118-260202?chdtv,搜尋日期:2020年1月31日。
    林輔瑾(1996)。專科學生從事規律運動意圖之研究-計劃行為理論之應用(未出版之碩士論文)。國立臺灣師範大學,臺北市。
    物聯價值(2018)。電子貨架標籤(ESL)開啟一個上萬億的零售市場。取自https://kknews.cc/zh-tw/tech/pg8pj5e.html,搜尋日期:2020年1月31日。
    邱皓政(2013)。量化研究與統計分析: SPSS (PASW)資料分析範例解析。臺北市:五南圖書出版股份有限公司。
    洪榮昭、傅惠筠(2012)。大專校院學生節能減碳行為意圖之研究。國立臺灣師範大學教育心理與輔導學系 教育心理學報,4 4(2),374-375。
    范慧宜(2019)。差異化體驗 智慧零售勝出關鍵。取自https://money.udn.com/money/story/8944/4258631,搜尋日期:2020年4月11日。
    羅賓.路易斯、麥克.達特(2013)。第4章 消費者想要什麼。廖文秀譯者,零售業新獲利模式(107頁)。臺北市:大樂文化有限公司。
    孫昌華(2019)。智慧化與新體驗決定實體零售未來。取自https://www.digitimes.com.tw/iot/Print.asp?C=,搜尋日期:2020年2月14日。
    財團法人工業技術研究院(2020)。CES 2020重點趨勢剖析研討會。取自https://www.itri.org.tw/ListStyle.aspx?DisplayStyle=01_content&SiteID=1&MmmID=1036276263153520257&MGID=1070610556512065274,搜尋日期:2020年4月14日。
    財團法人台灣網路資訊中心(2019)。2019年台灣網路報告。取自https://report.twnic.tw/2019/,搜尋日期:2020年3月31日。
    財團法人資訊工業策進會(2019)。5G趨勢帶動零售樣貌大變革。取自 https://www.iii.org.tw/focus/FocusDtl.aspx?f_type=1&f_sqno=Du40%2B4FPhO2rc5RHz6bIkQ__&fm_sqno=12,搜尋日期:2020年2月5日。
    財團法人臺灣網路資訊中心(2019)。2019年臺灣網路報告。取自https://report.twnic.tw/2019/,搜尋日期:2020年3月31日。
    張偉豪(2011)。SEM論文寫作不求人。臺北市:鼎茂。
    張偉豪、鄭時宜(2012)。 與結構方程模型共舞:曙光初現。新北市:前程文化事業股份有限公司。
    張淑青(2006)。知覺價值,顧客價值,顧客滿意與行為意圖的關係-澎湖觀光旅遊之實證。行銷評論,3(2),172-176。
    莊克仁(2015)。第13章公共關係與新興媒體的應用。圖解民意與公共關係(221頁)。臺北市:五南圖書出版股份有限公司。
    莊懿妃、蔡義清、俞洪亮(2018)。商管研究資料分析:SPSS的應用(3版)。台北市:華泰文化。
    許士軍(1987)。新加坡消費者對不同來源地產品之知覺及態度。管理評論,6,5-23。
    許哲彰(1999)。國小教師從事規律運動意圖、行為之預測及影響因素之探討-驗證計劃行為理論(未出版之碩士論文)。國立體育學院,桃園縣。
    陳世新(2016)。以科技接受模式的觀點探討技能競賽即時評分系統(未出版之碩士論文)。國立臺灣師範大學,臺北市。
    智在雲天(2018)。深度解析360度全息投影,全息技術應用案例,虛擬成像穿越空間感。取自https://kknews.cc/news/8ov89ye.html,搜尋日期:2020年2月5日。
    程倚華、高敬原(2019)。超零售時代來臨,解析3大關鍵要素。取自https://www.bnext.com.tw/article/53150/-super-retail,搜尋日期:2020年2月5日。
    勤業眾信聯合會計師事務所(Deloitte)(2018)。2019零售力量與趨勢展望。取自https://www2.deloitte.com/tw/tc/pages/consumer-business/articles/2019-retail-trend.html,搜尋日期:2020年1月31日。
    經濟部技術處(2019)。2019/2020產業技術白皮書。取自 https://www2.itis.org.tw/PubReport/PubReport_Detail.aspx?rpno=60416337&industry=5&ctgy=37&free=,搜尋日期:2020年4月1日。
    資策會產業情報研究所(MIC)(20220)。【行動支付大調查】行動支付用戶達六成 最常使用方案與場域大排名。取自https://mic.iii.org.tw/news.aspx?id=551,搜尋日期:2020年4月11日。
    資誠聯合會計師事務所(2019)。2019年全球消費者洞察報告。取自https://www.pwc.tw/zh/publications/global-insights/2019-consumer-insights.html,搜尋日期:2020年2月1日。
    劉宗維(2018)。全球行動支付比率之關鍵因素(未出版之碩士論文)。中原大學,桃園市。
    鍾敏玲(2019)。社群直播電商大融合 打造智慧行銷新零售模式。取自https://m.ctee.com.tw/dailynews/20190820/a06aa6/1002019,搜尋日期:2020年1月31日。

    英文文獻
    Adjzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice Hall.
    Agarwal. R., & Prasad, J. (1988). The antecedents and consequents of user perceptions in information technology adoption. Decision Support Systems, 22(1), 15-29.
    Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl, & J. Beckmann (Eds.), Action control (pp. 11-39). Heidelberg, DE: Springer.
    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
    Ajzen, I. (2002). Constructing a TPB questionnaire: Conceptual and methodological considerations. Retrieved from http://www-unix.oit.umass.edu/~aizen/index.html.
    Ajzen, I., & Fishbein, M. (1975). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888.
    Alhouti, S., Gillespie, E. A., Chang, W., & Davis, L. (2015). The thin line between hate of attention: The customer shopping experience. Journal of Marketing Theory and Practice, 23(4), 415-433.
    Animesh, A., Pinsonneault, A., Yang, S. B., & Oh, W. (2011). An odyssey into virtual worlds: Exploring the impacts of technological and spatial environments on intention to purchase virtual products. MIS Quarterly, 35(3), 789-810.
    Babin, B. J., & Attaway, J. S. (2000). Atmospheric affect as a tool for creating value and gaining share of customer. Journal of Business Research, 49(2), 91-99.
    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.
    Bagozzi, R. P., & Burnkrant, R. E. (1979). Attitude Organization and the Attitude-behavior Relationship. Journal of Personality and Social Psychology, 37(6), 913-929
    Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The influence of multiple store environment cues on perceived merchandise value and patronage intentions. Journal of Marketing, 66(2), 120-141.
    Bartels, J., & Reinders, M. J. (2011), Consumer innovativeness and its correlates: A propositional inventory for research. Journal of Business Research, 64(6), 601-609.
    Beck, M., & Crié, D. (2018). I virtually try it… I want it! Virtual Fitting Room: A tool to increase on-line and off-line exploratory behavior, patronage and purchase intentions. Journal of Retailing and Consumer Services, 40, 279-286.
    Benoit, S., Baker, T. L., Bolton, R. N., Gruber, T., & Kandampully, J. (2017). A triadic framework for collaborative consumption (CC), motives, activities and resources & capabilities of actors. Journal of Business Research, 79, 219-227.
    Berry, L. L., Carbone, L. P., & Haeckel, S. H. (2002). Managing the total customer experience. MIT Sloan Management Review, 43(3), 85-89.
    Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57-71.
    Bozionelos, G., & Bennett, P. (1999). The theory of planned behavior as predictor of exercise: The moderating influence of beliefs and personality variables. Journal of Health Psychology, 4, 517-529.
    Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). London, UK: Routledge.
    Carlson, J., O’Cass, A., & Ahrholdt, D. (2015). Assessing customers’ perceived value of the online channel of multichannel retailers: A two country examination. Journal of Retailing and Consumer Services, 27, 90-102.
    Chao, C. W., Reid, M., & Mavondo, F. T. (2012), Consumer innovativeness influence on really new product adoption. Australasian Marketing Journal, 20(3), 211-217.
    Chen, L. D., Mark L. G., & Daniel L. S. (2004). Consumer acceptance of virtual stores: A theoretical model and critical success factors for virtual stores. ACM SIGMIS Data-Base, 35(2), 8-31.
    Conner, M., Kirk, S. F., Cade, J. E., & Barrett, J. H. (2001). Why do women use dietary supplements? The use of the theory of planned behaviour to explore beliefs about their use. Social Science and Medicine, 52, 621-633.
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
    Dodds, B. W., Monroe, K. B., & Grewal, D. (1991) Effect of price, band, and store information on buyers’ product evaluation, Journal of Marketing Research, 28(3), 307-319.
    Donovan, R., & Rositter, J. (1982). Store atmosphere; An environmental psychology approach. Journal of Retailing, 58(1), 34-57.
    Downs, D. S., Graham, G. M., Yang, S., Bargainnier, S., & Vasil J.(2006). Youth exercise intention and past exercise behavior: Examining the moderating influences of sex and meeting exercise recommendations. Research Quarterly for Exercise and Sport,77(1), 91-99.
    Ellen G., & Mark J. S. (1999). The different roles of satisfaction, trust, and commitment in customer relationships. Journal of Marketing, 63, 70-87.
    Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer behavior (8th ed.). New York, NY: Dryden Press.
    Foster, J., & McLelland, M. A. (2015). Retail atmospherics: The impact of a brand dictated theme. Journal of Retailing and Consumer Services, 22, 195-205.
    Fotiadis, A. K., & Stylos, N. (2017). The effects of online social networking on retail consumer dynamics in the attractions industry: The case of ‘E-da’ theme park, Taiwan”. Technological Forecasting and Social Change, 124, 283-294.
    Gabisch, J. A. (2011). Virtual world brand experience and its impact on real world purchasing behavior. Journal of Brand Management, 19(1), 18-32.
    Gale, B. T. (1994). Managing customer value. New York, NY: Free Press.
    Goldsmith, R. E., & Hofacker, C. E. (1991), Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209-221.
    Green, A., K., & Kim, Y. K. (2012). Smart shopping: Conceptualization and measurement. International Journal of Retail and Distribution Management, 40(5), 360-375.
    Grewal, D., Levy, M., & Kumar, V. (2009). Customer experience management in retailing: An organizing framework. Journal of Retailing, 85(1), 1-14.
    Grewal, D., Roggeveen, A. L., & Nordfält, J. ( 2017). The future of retailing. Journal of Retailing, 93 (1), 1-6.
    Groth, J. C., & Dye, R. T. (1999). Service quality: Perceived value, expectations, shortfalls, and bonus. Managing Service Quality, 9(4), 174-285.
    Hair, J. E., Ringle, C. M., & Sarstedt, M. (2011). PLS-SWM: Indeed a slicer bullet. Journal of Marketing Theory and Practice, 19, 139-151.
    Hair, J. F., Gabriel, M., & Patel, V. (2014). AMOS covariance-based structural equation modeling (CB-SEM): Guidelines on its application as a marketing research tool. Brazilian Journal of Marketing, 13(2), 44-55.
    Han, H., Hsu, L. Y., & Sheu, C. (2010). Application of the theory of planned behavior to green hotel choice: Testing the effect of environmental friendly activities. Tourism Management, 31(3), 325-334.
    Hoffmann, S., & Soyez, K. (2010), A cognitive model to predict domain-specific consumer innovativeness. Journal of Business Research, 63(7), 778-785.
    Holbrook, M. (1994). The nature of customer value: An axiology of services in the consumption experience. Thousand Oaks, CA: Sage publications.
    Holbrook, M. (2006). Consumption experience, customer value, and subjective personal introspection: An illustrative photographic essay. Journal of Business Research, 59(6), 714-725.
    Huré, E., Picot-Coupey, K., & Ackermann, C. L. (2017). Understanding omni-channel shopping value: A mixed-method study. Journal of Retailing and Consumer Services, 39, 314-330.
    Im, S., Bayus, B. L., & Mason, C. H. (2003). An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior. Journal of the Academy of Marketing Science, 31(1), 61-73.
    Im, S., Mason, C. H., & Houston, M. B. (2007). Does innate consumer innovativeness related to new product / service adoption behavior? The intervening role of social learning via vicarious innovativeness. Journal of Academy Marketing Science, 35(1), 63-75.
    Jin, S. A. A. (2009). The roles of modality richness and involvement in shopping behavior in 3D virtual stores. Journal of Interactive Marketing, 23(3), 234-246.
    Juaneda-Ayensa, E., Mosquera, A., & Sierra Murillo, Y. (2016). Omnichannel customer behavior: Key drivers of technology acceptance and use and their effects on purchase intention. Frontiers in Psychology, 7, 1117.
    King, B. (2012). Bank 3.0, Why Banking is no longer somewhere you go but something you do. Hoboken, NJ: John Wiley & Sons, Inc.
    Klink, R. R., & Athaide, G. A. (2010). Consumer innovativeness and use of new versus extended brand names for new products. Journal of Product Innovation Management, 27(1), 23-32.
    Kotler, P. (2003). Marketing management (7 Ed.). Upper Saddle River, NJ: Prentice Hall.
    Luarn, P., & Lin, H.H. (2004). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891.
    Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: Conceptualization, measurement and application in the catalog and Internet shopping environment. Journal of Retailing, 77(1), 39-56.
    Norman, P. & Conner, M. (2005). The theory of planned behavior and exercise: Evidence for the mediating and moderating roles of planning on intention-behavior relationships. Journal of Sport & Exercise Psychology, 27(4), 488-504.
    Nuttavuthisit, K. (2014). How consumers as aesthetic subjects co-create the aesthetic experience of the retail environment. Journal of Retailing and Consumer Services, 21(4), 432-437.
    Overmars, S., & Poels, K. (2015). How product representation shapes virtual experiences and re-patronage intentions: The role of mental imagery processing and experiential value. The International Review of Retail, Distribution and Consumer Research, 25(3), 236-259.
    Pantano, E. (2013). Ubiquitous retailing innovative scenario: From the fixed point of sale to the flexible ubiquitous store. Journal of Technology Management and Innovation, 8(2), 84-92.
    Pantano, E. (2014). Innovation drivers in retail industry. International Journal of Information Management, 34(3), 344-350.
    Pantano, E., & Priporas, C. (2016). The effect of mobile retailing on consumers' purchasing experiences: A dynamic perspective. Computers in Human Behavior, 61, 548-555.
    Pantano, E., & Timmermans, H. (2014). What is smart for retailing? Procedia Environmental Sciences, 22, 101-107.
    Pantano, E., & Viassone, M. (2015). Engaging consumers on new integrated multichannel retail settings: Challenges for retailers. Journal of Retailing and Consumer Services, 25, 106-114.
    Parasuraman, A. (1997). Reflections on gaining competitive advantage through customer value. Journal of the Academy of Marketing Science, 25, 154-161.
    Parasuraman, A., & Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: A research agenda. Academy of Marketing Science Journal, 28(1), 168-174.
    Parise, S., Guinan, P. J., & Kafka, R. (2016). Solving the crisis of immediacy: How digital technology can transform the customer experience. Business Horizons, 59(4), 411-420.
    Petermans, A., Janssens, W., & Van Cleempoel, K. (2013). A holistic framework for conceptualizing customer experiences in retail environments. International Journal of Design, 7(2), 1-18
    Petit, O., Velasco, C., & Spence, C. (2019). Digital sensory marketing: Integrating new technologies into multisensory online experience. Journal of Interactive Marketing, 45, 42-61.
    Petrick, J. F. (2002). Development of multi-dimensional scale for measuring the perceived value of a service. Journal of Leisure Research, 34(2), 119-134.
    Poushneh, A., & Vasquez-Parraga, A. Z. (2017). Discernible impact of augmented reality on retail customer's experience, satisfaction and willingness to buy. Journal of Retailing and Consumer Services, 34, 229-234.
    Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods, 40(3), 879-891.
    Priporas, C. V., Stylos, N., & Fotiadis, A. K. (2017). Generation Z consumers' expectations of interactions in smart retailing: A future agenda. Computers in Human Behavior, 77, 374-381.
    Rogers, E. M. (1983). Diffusions of innovations (3rd ed.). New York: The Free Press.
    Rogers, E. M. (2003). Diffusion of innovations. New York, NY: The Free Press.
    Rogers, E. M., & Shoemaker, F. F. (1971). Communication of innovations; A cross-cultural approach. New York, NY: The Free Press.
    Fandos-Roig, C. F. J., Sanchez-Garcia, J., Moliner-Tena, M. A., & Llorens-Monzonis, J. (2006). Customer perceived value in banking services. International Journal of Bank Marketing, 24(5), 266-283.
    Schmitt, B. H. (1999). Experiential marketing: How to get customers to sense, feel, think, act, and relate to your company and brands. New York, NY: The Free Press.
    Shelth, J. N., Newman, B.L., & Gross, B.L. (1991). Why we buy what we buy: A theory of consumer. Journal of Public Policy & Marketing, 22(2), 159-170.
    Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues & Research in Advertising, 26(2), 53-66.
    Sweeney, J. C., & Soutar, G. N. 2001. Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220.
    Tan, M., & Teo, T. S. H. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for Information Systems, 1(5), 1-41.
    Tellis, G. J., Yin, E., & Bell, S. (2009). Global consumer innovativeness: Cross-country differences and demographic commonalities. Journal of International Marketing, 17(2), 1-22.
    Tombs, A., & McColl-Kennedy, J. R. (2003). Social-service scape conceptual model. Marketing theory, 3(4), 447-475.
    Turban, E., King, D., Lee, J., Warkentin, M., H. & Chung, M. (2002), Electronic commerce 2002: A managerial perspective (2 ed.). Saddle River, NJ: Prentice Hall.
    Turban, E., Lee, J., Lee, J. K., King, D., & Chung, H. M. (1999). Electronic commerce: A managerial perspective. Upper Saddle River, NJ: Prentice Hall.
    Van Rompay, T. J., Krooshoop, J., Verhoeven, J. W., & Pruyn, A. T. (2012). With or without you: Interactive effects of retail density and need for affiliation on shopping pleasure and spending. Journal of business research, 65(8), 1126-1131.
    Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of retailing, 85(1), 31-41.
    Vijayasarathy, L. R. (2004). Predicting consumer intentions to use shopping: The case for an augmented technology acceptance model. Information & Management, 41(6), 747-762.
    Woodall, T. (2003). Conceptualising ‘value for the customer’: An attributional, structural and dispositional analysis. Academy of Marketing Science Review, 12(1), 1-42.
    Woodruff, R. B. (1997). Customer value: The next source of competitive advantage. Journal of the Academy of Marketing Science, 25(2), 139-153.
    Woodside, A. G., & Lysonski, S. (1990). A general model of traveler destination choice. Annals of Tourism Research, 17, 432-448.
    Yeung, M. C., Ging, L. C., & Ennew, C. T. (2002). Customer satisfaction and profitability: A reappraisal of the nature of the relationship. Journal of Targeting, Measurement and Analysis for Marketing, 11(1), 24-33.
    Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.

    無法下載圖示 電子全文延後公開
    2025/06/23
    QR CODE