(18.204.227.34) 您好!臺灣時間:2021/05/19 08:23
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:黎旭崴
研究生(外文):LI, HSU-WEI
論文名稱:影響購物APP持續使用之因素研究
論文名稱(外文):A Study on the Factors Affecting the Continuance Use of Shopping APPs
指導教授:阮金聲阮金聲引用關係
指導教授(外文):ROAN, JIN-SHENG
口試委員:吳英隆簡建忠
口試委員(外文):WU, YING-LONGJEAN, CHIAN-CHONG
口試日期:2017-07-03
學位類別:碩士
校院名稱:國立中正大學
系所名稱:資訊管理系研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:80
中文關鍵詞:行動購物APP資訊系統接受後持續使用模式持續使用意圖
外文關鍵詞:Mobile shopping APPA Post-Acceptance Model of IS ContinuanceContinuance use intention
相關次數:
  • 被引用被引用:0
  • 點閱點閱:300
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
本研究想探討的是使用者對於行動購物APP之持續使用因素,以「資訊系統接受後持續使用模式」作為基礎,加入「個人化」、「習慣性」探討使用者對於行動購物APP之知覺有用性以及持續使用意圖的影響;加入「意外性」、「喜悅」來探討使用者對於行動購物APP之滿意度、確認程度還有持續使用意圖的影響。本研究透過網路問卷來進行樣本資料收集,研究對象為有使用行動購物APP之經驗者,總共收到477份有效問卷,透過統計軟體SPSS 22.0與Smart PLS 3.2.6對樣本資料作數據分析驗證,研究結果如下所示:

1. 個人化對習慣性與知覺有用性有正向顯著的影響。
2. 確認程度對滿意度、知覺有用性與喜悅有正向顯著影響。
3. 意外性對喜悅程度有正向顯著的影響。
4. 習慣性對持續使用意圖有正向顯著的影響。
5. 知覺有用性對滿意度與持續使用意圖有正向顯著影響。
6. 滿意程度對持續使用意圖有正向顯著的影響。

This study explores the factors affecting the continuous use of shopping APP, based on the "A Post-Acceptance Model of IS Continuance" and join the "personalization", "habitual" to explore the user for the action shopping APP's perceived usefulness and continuance use intention. Add "unexpected", "delight" to explore user for the action shopping APP user's satisfaction and user's confirmation and continuance use intention.
This study collects sample data from a web-based questionnaire. A total of 477 valid questionnaires were collected and data analysis by SPSS 22.0 and Smart PLS 3.2.6.
The results are as follows:

1.Personalization is positive relationship to habitual and perceived usefulness.
2.Confirmation is positive relationship to satisfaction, perceived usefulness and delight.
3.Unexpected is positive relationship to delight.
4.Habitual is positive relationship to continuous use intentions.
5.Perceived usefulness is positive relationship to satisfaction and continuance use intention.
6.Satisfaction is positive relationship to continuance use intention.

目錄 I
圖目錄 III
表目錄 IV
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的與問題 8
第二章 文獻探討 9
第一節 行動商務與行動購物APP 9
第二節 資訊系統接受後持續使用模式 13
第三節 本研究模型擴充變數 16
第三章 研究方法 20
第一節 研究模式 20
第二節 研究假說推導與建立 21
第三節 研究變數操作型定義與衡量 28
第四節 研究設計 32
第四章 資料分析與結果 35
第一節 敘述性統計分析 35
第二節 信度與效度分析 42
第三節 基本假設檢定 49
第四節 結構模型與路徑分析 51
第五章 結論與建議 58
第一節 研究結論 58
第二節 研究貢獻 62
第三節 研究限制 64
第四節 未來研究建議 65
參考文獻 66
英文文獻 66
網站資料 75
附錄:研究問卷 77

英文文獻
Agrebi, S., Jallais, J., 2015. Explain the intention to use smartphones for mobile shopping. Journal of Retailing and Consumer Services, 22, 16-23.
Anderson, E.W., Sullivan, M.W., 1993. The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12, 125-143.
Balasubramanian S., Peterson, A., Jarvenppa S. C., 2002. “Exploring the Implication of M-commerce for Markets and Marketing. Journal of the Academy of Marketing Science, 30(4), 348-361.
Barnes, S.J., 2002. The mobile commerce value chain: analysis and future developments. International Journal of Information Management, 22(2), 91-108.
Bhattacherjee, A., 2001. Understanding information systems continuance: an expectation confirmation model. MIS Quarterly, 25, 351-370.
Blackwell, R., Miniard, P., Engel, J., 2006. Consumer Behavior, tenth ed. Thomson South Western, Mason, OH.
Chandler, C.H., 1989. Beyond customer satisfaction. Quality Progress, 22, 30-32.
Christopher Bartl, Matthias H. J. Gouthier, Markus Lenker, 2013. Delighting Consumers Click by Click: Antecedents and Effects of Delight Online, Journal of Service Research, 16(3), 386-399.
Clarke III, I. 2001. Emerging value propositions for m-commerce. Journal of Business Strategies, 18(2), 133-148.
Coyle, James R. and Esther Thorson. 2001. The Effects of Progressive Levels of Interactivity and Vividness in Web Marketing Sites. Journal of Advertising, 30(3), 65-77.
David Jing Jun Xu, 2007. The Influence of Personalization in Affecting Consumer Attitudes toward Mobile Advertising in China, The Journal of Computer Information Systems, 2,9, 47.
Davis, F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
Davis, F.D., and Venkatesh, V., 1996. A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human Computer Studies, 45(1), 19-45.
Davenport, T. H. and J. C. Beck, 2001. The Attention Economy: Understanding the New Currency of Business, 1st ed, Boston, Massachusetts: Harvard Business School Press, 1-256.
Dickinger, Astrid and Mirella Kleijnen. 2008. Coupons Going Wireless: Determinants of Adoption of Consumer Intentions to Redeem Mobile Coupons. Journal of Interactive Marketing, 22, 3, 23-39.
Ekman P., & Friesen, W. V. 1975. Unmasking the face: A guide to recognizing emotions from facial clues. Englewood Cliffs, New Jersey: Prentice-Hall.
Finn, A., 2005. Reassessing the foundations of customer delight. Journal of Service Research, 8, 103-116.
Füller, J., Matzler, K., 2008. Customer delight and market segmentation: an application of the three-factor theory of customer satisfaction on life style groups. Tourism Management, 29 (1), 116-126.
Escobar-Rodríguez, T., Carvajal-Trujillo, E., 2013. Online drivers of consumer purchase of website airline tickets. Journal of Air Transport Management, 32, 58-64.
Fornell, C., & Larcker, D. F. 1981. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
Frolick, M. N. and L. Chen, 2004. Assessing M-Commerce Opportunities. Information Systems Management, 21, 53-61.
Hair, J.F., Anderson, R.E., Tatham, R.L., and Black, W.C. 1998. Multivariate data analysis with reading, Macmillan Publishing Company, New York.
Hanson, W., Principles of Internet Marketing, 1st ed, 2000. South-Western College Publishing, 1-496.
He, W., Wei, K.-K., 2009. What drives continued knowledge sharing? an investigation of knowledge contribution and seeking beliefs. IT Decisions in Organizations, 46, 826-838.
Holmes, A., Byrne, A., Rowley, J., 2013. Mobile shopping behaviour: insights into attitudes, shopping process involvement and location. International Journal of Retail & Distribution Management, 42 (1), 25-39.
Hong, S., Kim, J., & Lee, H. 2008. Antecedents of Use-Continuance in Information Systems: Toward an Integrative View. Journal of Computer Information Systems, 48(3), 61-73.
Hong, S., Thong, J.Y.L., Tam, K.Y., 2006. Understanding continued information technology usage behavior: a comparison of three models in the context of mobile internet. Decision Support Systems, 42, 1819-1834.
Hsu, J.S-C., Lin, T-C., Fu, T-W. and Hung, Y-W. 2015. The effect of unexpected features on app users’ continuance intention. Electronic Commerce Research and Application, 14, 6, 418-430.
Hung, M.C., Yang, S.T., Hsieh, T.C., 2012. An examination of the determinants of mobile shopping continuance. International Journal of Electronic Business Management, 10 (1), 29-37.
Ives, B., & Mason, O. L. 1990. Can information technology revitalize your customer service?. Academy of Management Executive, 4(4), 52-69.
Keiningham, T.L., Vavra, T.G., 2001. The Customer Delight Principle: Exceeding.
Kim, H.W., Gupta, S., Koh, J., 2011. Investigating the intention to purchase digital items in social networking communities: a customer value perspective. Information & Management, 48 (6), 228-234.
Kim, S. S., Malhotra,N. K., & Narasimhan, S. 2005. Two competing perspectives on automatic use: A theoretical and empirical comparison. Information Systems Research, 16(4), 418-432.
Ko, E., Kim, E.Y., Lee, E.K., 2009. Modeling consumer adoption of mobile shopping for fashion products in Korea. Psychology and Marketing, 26 (7), 669-687.
Kotler, P., Marketing Management, 10th ed, 2000. NJ: Prentice Hall, 1-800.
Krotov, V., Junglas, I., Steel, D., 2015. The mobile Agility framework: an exploratory study of mobile technology Enhancing Organizational Agility. Journal of Theoretical and Applied Electronic Commerce Research, 10 (3), 1-7.
Lee C.-C, Kenneth, H.K. and Cheng, H.-H., 2007. An empirical study of mobile commerce in insurance industry: task-technology fit and individual differences. Decision Support System, 95-110.
Lee, T., 2005. The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce. Journal of Electronic Commerce Research, 6 (3), 165-180.
Lee, Y., Kwon, O., 2011. Intimacy, familiarity and continuance intention: an extended expectation - confirmation model in web-based services. Electronic Commerce Research and Applications, 10, 342-357.
Leung, K. and J. Antypas, 2001. Improving Returns on M-Commerce Investments. Journal of Business Strategy, 22, 12-16.
Limayem, M., Cheung, C.M.K., 2008. Understanding information systems continuance: the case of Internet-based learning technologies. Information & Management, 45, 227-232.
Limayem, M., Hirt, S.G., Cheung, C.M.K., 2007. How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, 31, 705-737.
Lin, C.S., Wu, S., Tsai, R.J., 2005. Integrating perceived playfulness into expectation confirmation model for web portal context. Information & Management, 42, 683-693.
Maity, M., & Dass, M. 2014. Consumer decision-making across modern and traditional channels: e-commerce, m-commerce, in-store. Decision Support Systems, 61, 34-46.
Mallapragada, G., Chandukala, S.R., Liu, Q., 2016. Exploring the Effects of “What”(Product) and “Where”(Website) Characteristics on Online Shopping Behavior. Journal of Marketing, 80 (2), 21-38.
Mark, K.P., and Vogel, D.R. 2009. An Exploratory Study of Personalization and Learning Systems Continuance. PACIS 2009 Proceedings.
McKinney, V., Yoon, K., Zahedi, F.M., 2002. The measurement of Web-customer satisfaction: an expectation and disconfirmation approach. Information Systems Research, 13, 296-315.
Mellers, B.A., Schwartz, A., Ho, K., & Ritov, I. 1997. Decision affect theory: Emotional reactions to the outcomes of risky options. Psychological Science.
Mellers, B.A., Schwartz, A., & Ritov, I. 1999. Emotion-based choice. Journal of Experimental Psychology: General.
Mennecke, B., & Strader, T. 2002. Mobile Commerce: Technology, Theory and Applications. Hershey, PA: Idea-Group Publishing.
Mittal, B. and W. M. Lassar, 1996. The Role of Personalization in Service Encounters. Journal of Retailing, 72(1), 95-109.
Moez Limayem and Christy M.K. Cheung 2008. Understanding information systems continuance: The case of Internet-based learning technologies. Information and Management, 45, 227-232.
Nunnally, J.C. 1978. Psychometric theory. New York: Mcgraw-Hill. Oh, H.,& Hsu, C. H. 2001. Volitional degrees of gambling behaviors. Annals of Tourism Research, 28(3), 618-637.
Oliver, R.L., 1980. A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17, 460-469.
Oliver, R.L., Rust, R.T., Varki, S., 1997. Customer delight: foundations, findings, and managerial insight. Journal of Retailing, 73, 311-336.
Oulasvirta, A., Rattenbury, T., Ma, L. and Raita, E. 2012. Habit make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105-114.
Ozok, A.A. & Wei, J. 2010. An empirical comparison of consumer usability preferences in online shopping using stationary and mobile devices: Results from a college student population. Electron Commerce Research, 2, 111-137.
Pantano, E. 2013. Ubiquitous retailing Innovative Scenario: from the fixed point of sale to the flexible ubiquitous store. Journal of Technology Management & Innovation, 8(2), 84-92.
Put, A., Dacosta, I., Milutinovic, M., De Decker, B., Seys, S., Boukayoua, F., Naessens, V., .Vanhecke,.K., Pessemier, T.D., & Martens, L. 2014. inshopnito: An advanced yet privacy-friendly mobile shopping application. IEEE, 129-136.
Rai, A., Lang, S.S., & Welker, R.B. 2002. Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50-69.
Rauyruen, P., Miller, K. E., & Groth, M. 2009. B2B services: linking service loyalty and brand equity. The Journal of Services Marketing, 23(3), 175-186.
Recker, J., 2010. Explaining usage of process modeling grammars: comparing three theoretical models in the study of two grammars. Information & Management, 47, 316-324.
Reichheld, F.F., 1994. Loyalty and the renaissance of marketing. Marketing Management, 2, 10-21.
Russell, J.A., 1980. A circumplex model of affect. Journal of Personality and Social Psychology, 39, 1161-1178.
Rust, R.T., Oliver, R.L., 2000. Should we delight the customer? Journal of the Academy of Marketing Science, 28, 86-94.
San-Martín, S., Prodanova, J., Jiménez, N. 2015. The impact of age in the generation of satisfaction and WOM in mobile shopping. Journal of Retailing and Consumer Services, 23, 1–8.
Scherer, K. R. 1984. On the nature and function of emotion: a component process approach. Approaches to emotion, 293-318.
Schlossberg, H., 1990. Satisfying customers is a minimum; you really have to delight them. Marketing News, 24, 10-11.
Seddon, P. B. and Kiew, M. Y., 1996. A Partial Test and Development of DeLone and McLean's Model of IS Success. The Australian Journal of Information Systems, 90-109.
Shani, G., Gunawardana, A., 2011. Evaluating recommendation systems. Recommender Systems Handbook. Springer, 257-297.
Shankar, V., Kleijnen, M., Ramanathan, S., Rizley, H., Holland, S., and Morrissey, S. 2016. Mobile shopper marketing: Key issues, current insights, and future research avenues. Journal of Interactive Marketing, 34, 37-48.
Siau, K., Lim, E.P. and Shen, Z. 2001. Mobile commerce: Promises, challenges, and research agenda. Journal of Database Management, 12(3), 4-13.
Szymanski, D.M., Henard, D.H., 2001. Customer satisfaction: a meta-analysis of the empirical evidence. Journal of the Academy of Marketing Science, 29, 16-35.
Tan, F.B., & Chou, J.P. 2008. The relationship between mobile service quality, perceived technology compatibility, and users' perceived playfulness in the context of mobile information and entertainment services. Journal of Human–Computer Interaction, 24(7), 649-671
Tarasewich, P., Nickerson, R.C. and Warkentin, M., 2002. Issues in mobile e-commerce. Communications of the Association for Information System, 8, 41-64.
Taylor, D.G., & Levin, M. 2014. Predicting mobile app usage for purchasing and information-sharing. International Journal of Retail & Distribution Management, 42(8), 759-774.
Thong, J.Y.L., Hong, S.J., Tam, K.Y., 2006. The effects of post-adoption beliefs on the expectation–confirmation model for information technology continuance. International Journal of Human-Computer Studies, 9 (64), 799-810.
Tsalgatidou, A. and Pitoura, E. 2001. Business model and transactions in mobile electronic commerce: Requirements and properties. Computer Networks, 37(2), 221-236.
Vanhamme, J., de Bont, C.J.P.M., 2008. “Surprise gift” purchases: customer insights from the small electrical appliances market. Journal of Retailing. 84 (3), 354-369.
Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. 2008. Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, And Behavioral Expectation. MIS Quarterly, 32(3), 483-502.
Verma, H.V., 2003. Customer outrage and delight. Journal of Services Research 3, 119-133.
Wang, R.J.H., Malthouse, E.C., Krishnamurthi, L., 2015. On the go: how mobile shopping affects customer purchase behavior. Journal of Retailing. 91 (2), 217-234.
Watson, D., Tellegen, A. 1985. Toward a consensual structure of mood. Psychological Bulletin 98, 219-235.
Watson, R.T., Pitt, L.F., Berthon, P. and Zinkhan, G.M. 2002. U-commerce: expanding the universe of marketing, Journal of the Academy of Marketing Science, 30(4), 333-347.
Whittaker, B. 1991. The path to excellence. Canadian Business Review, 18-21.
Whittlesea, B. W., & Williams, L. 2001. The discrepancy–attribution hypothesis: I. The heuristic basis of feelings and familiarity. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27, 3-13.
Wu, J.C. and Hisa, T.L. 2004. Analysis of e-commerce innovation and impact: A hypercube model. Electronic Commerce Research and Applications, 3(4), 389-404.
Yang, K. 2012. Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior. Journal of Retailing & Consumer Services, 19, 484-491.
Yang, K. 2010. Determinants of US consumer mobile shopping services adoption: Implications for designing mobile shopping services. Journal of Consumer Marketing, 27, 262-270.
Yang, K., & Kim, H. 2012. Mobile shopping motivation: An application of multiple discriminant analysis. International Journal of Retail & Distribution Management, 40, 778-789.
Yang, S.Q., Lu, Y.b., Gupta, S., & Cao, Y.Z. 2012. Does context matter? The impact of use context on mobile internet adoption. International Journal of Human-Computer Interaction, 8, 530-541.
Yen, Y. 2012. Exploring customer perceived value in mobile phone services. International Journal of Mobile Communications, 10, 213-229.
Zhang, J., & Wedel, M. 2009. Customized Promotions in Online and Offline Stores. Journal of Marketing Research, 46(2), 190-206.

網站資料
內政部統計處 2017。106年第8週內政統計通報(我國15歲以上人口教育程度統計)。2017年5月。取自:http://www.moi.gov.tw/stat/news_content.aspx?sn=11673&page=1
萬事達卡(MasterCard) 2015。網路購物行為最新調查:臺灣民眾手機購物成長率亞太區居冠。2015年12月。取自:https://www.mastercard.com/tw/consumer/news.html
資策會FIND 2015。全臺行動族群半年內激增170萬人 熟齡族躍升主力族群 htc擊敗 Samsung奪回手機愛牌美名 現逾1,600萬人每天滑滑滑!!!2015年12月。取自:
http://www.iii.org.tw/Press/NewsDtl.aspx?nsp_sqno=1560&fm_sqno=14
資策會產業情報研究所(MIC) 2015。行動購物需求調查分析。2015年12月。取自:
https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=381
Criteo 2015。臺灣人愛手機購物、App 轉換率比行動網頁高。2015年12月。取自:
http://www.inside.com.tw/2015/10/08/criteo-2015-mcommerce
Dusto, A. 2014. 80% of consumer’s mobile browsing time is on apps. 2015年12月。取自:http://www.internetretailer.com/2014/02/11/80-consumers-mobilebrowsing-time-apps
Gartner 2014. Mobile Users Will Provide Personalized Data Streams to More Than 100 Apps and Services Every Day. 2015年12月。取自:http://www.gartner.com/newsroom/id/2654115
MarketingCharts 2014. In the US, time spent with mobile apps now exceeds desktop web access. 2015年12月。取自:
http://www.marketingcharts.com/online/in-the-us-timespent-with-mobile-apps-now-exceeds-the-desktop-web-41153/
Mastercard 2017. Mobile Sopping Survey. 2017年5月。取自:
https://www.mastercard.com.tw/content/dam/mccom/zh-tw/documents/2017-03-27.pdf
Nielsen 2014. The digital consumer. 2015年12月。取自:
http://www.nielsen.com/content/dam/corporate/us/en/reports-downloads/2014%20Reports/the-digital-consumer-reportfeb-2014.pdf
Nielsen 2015. An uncommon sense of the consumer. 2017年5月。取自:
http://www.nielsen.com/content/dam/nielsenglobal/tw/docs/Taiwan-eCommerce-Report-2016 ch.pdf
Wachob, C. 2003. “What are personalization and customization?”. 2015年12月。取自:
http://www.workz.com/cgi-bin/gt/tp1_page.html,template=1&content=1193&nav1=1&
Yahoo Flurry 2015。亞洲App使用行為大不同!男愛拍照、女瘋購物! App造訪數成長77%,工具生產類App使用時間高出美國近4成。2015年12月。取自:
http://yahoo-emarketing.tumblr.com/post/132075956721/flurry3
Yahoo網路行銷 2015。全方位網購體驗O2O虛實整合 深化多螢網購體驗。2015年12月。取自:http://yahoo-emarketing.tumblr.com/post/127705339776/o2o0828

電子全文 電子全文(網際網路公開日期:20220602)
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top