博碩士論文 104481019 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:99 、訪客IP:3.129.39.85
姓名 吳靜芬(Ching-Fen Wang)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 影響顧客在無人商店消費與推薦意願之研究
(Factors Influencing Customers’ Shopping and Word-of-Mouth Intentions in Smart 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) 無人商店,一個整合行動付款與物聯網的新購物型態,正迅速在全球擴展開來。然
而, 關於無人商店的消息並非都是正面的,也有 報導指出, 有些無人商店在中國已經倒
閉了。 因此,了解 顧客在無人商店的消費因素, 不論是對於學術研究或 相關從業者來說
都是相當重要的。 過去在無人商店議題的研究,大多著重在物連網等較技術層面的探討,
本研究以 S-O-R模型為基礎,結合情境因素與顧客認知價值來研究此議題。研究結果顯
示,產品推薦與購物速度顯著的影響功利價值、享樂價值。順暢的進入商店與產品推薦
顯著的影響享樂主義。同時,研究結果也顯示顧客認知價值顯著的影響顧問在無人商店
消費的意願 。
摘要(英) Smart stores integrated with Internet of things (IoT) devices to facilitate shopping are rapidly expanding worldwide. However, although the phenomenon offers fascinating novelty, some stores are being shut down in China. Previous studies on smart stores have focused on issues related to IoT devices and technology. The objective of this study is to better understand the factors that attract customers to shop at smart stores. Firstly, the current study is to adopt the stimulus–organism–response framework and new situational variables to study the effect of IoT-enabled shopping processes on shopping values. And the shopping values further trigger shopping intention and word-of-mouth intention. We observed that all hypotheses were supported by the study results, except for store location and product quality with utilitarian value. The study findings can serve as a reference for retail management personnel in enhancing store features to promote customer repurchase intentions.
關鍵字(中) ★ 無人商店
★ 情境影響
★ 顧客認知價值
★ 行為意圖
關鍵字(英)
論文目次 Chinese Abstract
English Abstract iii
Table of Contents v
List of Figures vi
List of Tables vii
Chapter 1 Introduction 1
Chapter 2 Literature review 4
2-1 Smart stores 4
2.2 Perceived value: Utilitarian value and hedonic value 5
2.4 SOR framework 8
Chapter 3 Methodology development 9
Chapter 4 Data Analysis 13
4-1 Instrument development 13
4.2 Data collection 16
Chapter 5 Analysis Result 18
5.1 Common method bias 18
5.2 Measurement model 18
5.3 Structural model 20
5.4 Discussion 22
Chapter 6 Implications for Research and Practice 23
6.1 Implications for research 23
6.2 Implications for practice 24
Chapter 7 Conclusions and Limitations 25
Appendix A: Questionnaire 1 26
References 30
參考文獻 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 Aug 2021). Abbasi, G. A., Goh, Y. N., & Ariffin, S. K. (2019). Stimulating online buying behaviour among millennials in Pakistan: A conceptual model and research propositions. Journal of Entrepreneurship, Business and Economics, 7(2), 189-219. Andreas, A, Robert, W., & Sylvie, G. (2019). The effectiveness of promotional cues for organic products in the German retail market. Sustainability , 11, 6986. Atkinson, L. (2013). Smart shoppers? Using QR codes and ‘green’smartphone apps to mobilize sustainable consumption in the retail environment. International Journal of Consumer Studies, 37(4), 387-393. 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. Barton, S. S., & Behe, B. K. (2017). Retail promotion and advertising in the green industry: An overview and exploration of the use of digital advertising. Hort Technology, 27(1), 99-107. Belk, R. W. (1975). Situational variables and consumer behavior. Journal of Consumer research, 2(3), 157-164. Brennan, D.P. and Lundsten, L. (2000). Impacts of large discount stores on small US towns: reasons for shopping and retailer strategies. International Journal of Retail & Distribution Management, Vol. 28 No. 4/5, pp. 155-161. https://doi.org/10.1108/09590550010319904 Chang, H. J., Eckman, M., & Yan, R. N. (2011). Application of the Stimulus-Organism-Response model to the retail environment: the role of hedonic motivation in impulse buying behavior. The International Review of Retail, Distribution and Consumer Research, 21(3), 233-249.
–31–
Chocarro, R., Cortiñas, M., & Villanueva, M. L. (2013). Situational variables in online versus offline channel choice. Electronic Commerce Research and Applications, 12(5), 347-361. Chopdar, P. K. and Sivakumar, V. J. (2018). Understanding psychological contract violation and its consequences on mobile shopping applications use in a developing country context. Journal of Indian Business Research, Vol. 10 No. 2, pp. 208-231. https://doi.org/10.1108/JIBR-07-2017-0109
Collier, J. E., Moore, R. S., Horky, A., & Moore, M. L. (2015). Why the little things matter: Exploring situational influences on customers′ self-service technology decisions. Journal of Business Research, 68(3), 703-710.
Collier, J. E., & Sherrell, D. L. (2010). Examining the influence of control and convenience in a self-service setting. Journal of the Academy of Marketing Science, 38(4), 490-509. Dennis, C., Bourlakis, M., Alamanos, E., Papagiannidis, S., & Brakus, J. J. (2017). Value co-creation through multiple shopping channels: The interconnections with social exclusion and well-being. International Journal of Electronic Commerce, 21(4), 517-547 Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of marketing research, 28(3), 307-319. Floh, A., & Madlberger, M. (2013). The role of atmospheric cues in online impulse-buying behavior. Electronic Commerce Research and Applications, 12(6), 425-439. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equations with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. Foxall, G. R., & Yani-de-Soriano, M. M. (2005). Situational influences on consumers′ attitudes and behavior. Journal of Business research, 58(4), 518-525. Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(1), 7.
–32–
Higie, R. A., Feick, L. F., & Price, L. L. (1987). Types and amount of word-of-mouth communications about retailers. Journal of retailing, 63(3), 260‐278. Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of consumer research, 9(2), 132-140. Hong, W., & Zhu, K. (2006). Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level. Information & Management, 43(2), 204-221. Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2003). The effects of locational convenience on customer repurchase intentions across service types. Journal of Services Marketing. 17(7), 701-712. Jones, M. A., Reynolds, K. E., & Arnold, M. J. (2006). Hedonic and utilitarian shopping value: Investigating differential effects on retail outcomes. Journal of business research, 59(9), 974-981. Kaur, J., & Baghla, S. (2017). Modified Decision Table Classifier By Using Decision Support and Confidence In Online Shopping Dataset. International Journal of Computer Engineering & Technology (IJCET), 8, 83-88. Kuhn, S. W., & Petzer, D. J. (2018). Fostering purchase intentions toward online retailer websites in an emerging market: An SOR perspective. Journal of Internet Commerce, 17(3), 255-282. Kwak, Y. A., & CHO, Y. S. (2019). Unmanned Store, Retailtech and Digital Divide in South Korea. The Journal of Distribution Science, 17(9), 47-56. Mattila, A. S., & Enz, C. A. (2002). The role of emotions in service encounters. Journal of Service Research, 4(4), 268–277. Maxham III, J. G. (2001). Service recovery′s influence on consumer satisfaction, positive word-of-mouth, and purchase intentions. Journal of business research, 54(1), 11-24. Mehrabian, A., and J. A. Russell. (1974). An approach to environmental psychology. Cambridge, MA: MIT Press.
–33–
Morris B.Holbrook, Elizabeth C. Hirschman (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132-140. Nicholson, M., Clarke, I., and Blakemore, M. One brand (2002), three ways to shop: situational variables and multichannel consumer behavior, International Review of Retail, Distribution and Consumer Research, 12(2), 131-148. O’Brien, H. L. (2010). The influence of hedonic and utilitarian motivations on user engagement: The case of online shopping experiences. Interacting with computers, 22(5), 344-352. Oppewal, H., Tojib, D. R., and Louvieris, P. (2012) Experimental analysis of consumer channel-mix use. Journal of Business Research. http://dx.doi.org/10.1016/j.jbusres.2012.02.002. Overby, J. W., & Lee, E.-J. (2006). The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of Business Research, 59(10–11), 160–1166. Pan, Y., & Siemens, J.C. (2011). The differential effects of retail density: An investigation of goods vs service settings. Journal of Business Research, 64(2), 105-112. Pee, L. G., Kankanhalli, A., Ong, L. L., & Vu, M. K. (2010). Antecedents, and impact of knowledge management capability in public organizations. Pacific Asia conference on information systems, 713–724. Peukert, C., Pfeiffer, J., Meißner, M., Pfeiffer, T., & Weinhardt, C. (2019). Shopping in virtual reality stores: the influence of immersion on system adoption. Journal of Management Information Systems, 36(3), 755-788. Rintamäki, T., Kanto, A., Kuusela, H., & Spence, M. T. (2006). Decomposing the value of department store shopping into utilitarian, hedonic and social dimensions: Evidence from Finland. International Journal of Retail and Distribution Management, 34(1), 6-24.
–34–
Sam, S. (2017). “Smart Store Technologies to Generate Over $78 Billion in Annual Transaction Revenue by 2022,” from https://www.juniperresearch.com/press/press-releases/smart-store-technologies-generate-over-78bn-2022 Seiders, K., Voss, G. B., Godfrey, A. L., & Grewal, D. (2007). SERVCON: development and validation of a multidimensional service convenience scale. Journal of the academy of Marketing Science, 35(1), 144-156. Simonson, I. (1990). The effect of purchase quantity and timing on variety-seeking behavior. Journal of Marketing research, 27(2), 150-162. Sirgy, J.M., Grewal, D., & Mangleburg, T. (2000). Retail environment, self-congruity, and retail patronage: An integrative model and a research agenda. Journal of Business Research, 49(2), 127-138. Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce: an exploration of its antecedents and consequences. Journal of retailing, 78(1), 41-50. Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of retailing, 77(2), 203-220. Tiffany, P., Pinem, A. A., Hidayanto, A. N., & Kurnia, S. (2020). Gain-Loss Framing: Comparing the Push Notification Message to Increase Purchase Intention in e-Marketplace Mobile Application. IEEE Access, 8, 182550-182563. Ting, C., Yini, C. (2020). A study of lifestyle fashion retailing in China. Marketing Intelligence & Planning. 38(1),46-60. 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. 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. Verhoef, P. C., Langerak, F(2001). Possible determinants of consumers’ adoption of electronic grocery shooping in the Netherlands, Journal of Retailing an Consumer Services, 8(5) , 275-285.
–35–
Wadhawan, N., & Seth, A. (2016). Technology Revolutionizing Retail Practices in Digital Era. International Journal of Recent Research Aspects, 1, 60-62. Weber, A., & Maier, E. (2020). Reducing competitive research shopping with cross-channel delivery. International Journal of Electronic Commerce, 24(1), 78-106. Westbrook, R. A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of marketing research, 24(3), 258-270. Wu, H. C., Ai, C. H., & Cheng, C. C. (2019). Experiential quality, experiential psychological states and experiential outcomes in an unmanned convenience store. Journal of Retailing and Consumer Services, 51, 409-420. Yang, S., & Zeng, X. (2018). Sustainability of government social media: A multi-analytic approach to predict citizens’ mobile government microblog continuance. Sustainability, 10(12), 4849. Yuan, S., Liu, L., Su, B., & Zhang, H. (2020). Determining the antecedents of mobile payment loyalty: Cognitive and affective perspectives. Electronic Commerce Research and Applications, 41, 1-9. 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. Zheng, Y., & Li, Y. (2018). Unmanned Retail’s Distribution Strategy Based on Sales Forecasting. 2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS), Toronto, ON, Canada, pp. 1-5, Doi: 10.1109/LISS.2018.8593273
指導教授 許秉瑜(Ping-Yu Hsu) 審核日期 2022-1-25
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