政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/132090

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/132090

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | 全文筆數/總筆數 : 113822/144841 (79%)
造訪人次 : 51781485 線上人數 : 602

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

搜尋範圍

查詢小技巧：

您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果

若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料

進階搜尋

主頁 ‧ 登入 ‧ 上傳 ‧ 說明 ‧ 關於政大典藏 ‧ 管理

到手機版

政大機構典藏 > 商學院 > 企業管理研究所（MBA學位學程） > 學位論文 > Item 140.119/132090

請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/132090

題名:	知覺價值、使用態度、行為意圖與信任關係之研究─以自助點餐機為例 The Study on the Relationship among Perceived Value, Attitude towards Use, Behavioral Intention and Trust in Applying Self-Service Kiosk
作者:	陳亞臻 Chen, Ya-Chen
貢獻者:	李易諭廖森貴陳亞臻 Chen, Ya-Chen
關鍵詞:	科技接受模型知覺價值信任自助服務科技
日期:	2020
上傳時間:	2020-10-05 15:19:46 (UTC+8)
摘要:	隨著時代變遷，資訊科技日益進步，自助服務科技逐漸應用並融入日常生活之中，並且在未來此一趨勢可望持續增長，本研究以自助點餐機作為範例，探討信任、知覺價值、使用態度、意圖之間的關係，期望能提供企業未來發展自助服務科技時的參考方向。經由整理科技接受模型、自助服務科技與知覺價值等相關文獻，將文獻中出現之重要模型因子進行分類，且輔以實地訪談，從而建立本文研究模型與問卷內容。本研究以使用過台灣麥當勞自助點餐機者為調查對象，回收之有效問卷為537份，使用Smart PLS軟體進行資料分析，檢定結果顯示有八項假說成立，四項不成立。最後，針對假說結果進行解釋，並提出實務上的建議以及本研究限制與對未來研究之建議。
參考文獻:	中文文獻朱祐儀(2019)。保險科技服務對使用態度與意願之影響─整合科技接受模型與消費價值理論。東吳大學國際經營與貿易學系碩士班國際企業與行銷組碩士論文。危芷燕(2009)。以科技接受模式探討使用者接受電子帳單呈遞支付服務的行為意圖。國立交通大學管理科學系碩士論文。吳智鴻、蔡依錞(2014)。以科技接受模式來探討社群網站Facebook的使用意圖。國立臺灣科技大學人文社會學報，10 (1)，29-44。李靜芳(2018)。以科技接受模式探討網路口碑及網路廣告對手機社群遊戲使用之影響。明道學術論壇，10(4)，49-59。林慧琦、陳棟樑、李若吟(2012)。以科技接受模式探討消費者網路購物意願-以量販店為例。健康與管理學術研討會。新竹市。陳書萱(2016)。影響旅遊者使用自助服務科技的因素。大同大學事業經營研究所碩士論文。陳俊宇(2014)。無人服務圖書館行銷之研究─以臺北市智慧圖書館為例。國立台北大學公共行政暨政策學系碩士論文。許鈞凱(2007)。消費者新奇追求動機、新奇屬性及產品新奇性對消費者態度之影響─以旅遊產品為例。國立政治大學廣告研究所碩士論文。莊詠琳(2012)。衝浪參與者知覺風險、知覺價值、滿意度與行為意向關係之研究。國立台中教育大學永續觀光暨遊憩管理碩士學位學程碩士論文。黃珮瑄(2019)。智慧型無人商店採用決策之研究。國立臺北商業大學企業管理系碩士論文。黃識銘、方世榮、楊舒蜜(2010)。品牌利益對品牌忠誠度之影響－品牌關係品質與顧客關係品質的中介效果。管理與系統。17(3)，373-402。傅雲萱(2018)。智慧化無人商店之消費者接受度調查。國立高雄科技大學運籌管理系企業管理碩士班碩士論文。曾淑美、陳玉芬(2011)。知覺風險、信任與資訊豐富度對再合購意願之影響。電子商務研究，9(3)，269-294。葉子渝(2017)。科技接受理論、資訊豐富與知覺有趣性關係之研究─以家具客製化APP為例。國立屏東大學行銷與流通管理學系碩士班碩士論文。劉宗凱(2018)。服務品質、享樂價值與滿意度關係之研究─以國內團體套裝旅遊之遊客為例。國立臺中教育大學永續觀光暨遊憩管理碩士學位學程碩士論文。劉立偉(2006)。”行動生活、行動秘書、專門找店與找店專門＂自助服務科技採用因素與態度、意圖之探討─以手機加值服務為例─。國立中正大學企業管理研究所碩士論文。蔡耀庭(2013)。知覺價值、品牌形象、信任與購買意願關係研究：以智慧型手機產品為例。國立成功大學經營管理碩士學位學程碩士論文。蕭至凱、詹皇俊、吳忠錦、林俊志、黃德勝、呂致賢(2012)。知覺價值對高科技產品購買行為的影響：以平板電腦為例。元培科技大學企業管理系畢業專題論文。英文文獻 Adapa S., Fazal-e-Hasan, S. M., Makam, S. B., Azeem, M. M., & Mortimer, G. (2020). Examining the antecedents and consequences of perceived shopping value through smart retail technology. Journal of Retailing and Consumer Services, 52. doi: 10.1016/j.jretconser.2019.101901 Agag, G. & El-Masry, A. A. (2016). Understanding the determinants of hotel booking intentions and moderating role of habit. International Journal of Hospitality Management, 54, 52-67. doi: 10.1016/j.ijhm.2016.01.007 Ajina, A. S. (2019). Predicting customers` online word of mouth intention: The theory of planned behavior applied to understand youth saudi social media behaviors. Management Science Letters, 9, 1553-1566. doi: 10.5267/j.msl.2019.5.030 Alsulaiman, K. (2013). The relationships between products’ hedonic and utilitarian values and three word of mouth variables (Doctoral dissertation, Lincoln University). Retrieved from: https://hdl.handle.net/10182/5536 Altman, I. & Taylor, D. A. (1973). Social penetration: The development of interpersonal relationships. The Journal of Social Psychology, 75(1). 79-90. doi: 10.1080/00224545.1968.9712476 Aransyah, M. F., Roy, J., & Aprianti, Y. (2019). Innovation resistance and perceive novelty on e-wallet services. Mulawarman International Conference on Economics and Business, 2, 115-122. Athapaththu, J. C. & Kulathunga, D. (2018). Factors affecting online purchase intention: effects of technology and social commerce. International Business Research, 11(10), 111-128. doi:10.5539/ibr.v11n10p111 Ayeh, J. K., Au, N., & Law, R. (2012). Predicting the intention to use consumer-generated media for travel planning. Tourism Management, 35, 132-143. doi: 10.1016/j.tourman.2012.06.010 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. Bauer, R. A. (1967). Consumer behaviour as risk taking, in Cox, D. F. (Ed.), Risk Taking and Information Handling in Consumer Behavior, Boston University Press, Boston, MA, 23-33. Bearden, W. O. & Netemeyer, R. G. (1999). Handbook of marketing scales: Multi-item measures for marketing and consumer behavior research. Sage publications. Behzod, M. & Richard, R. (2017). Self-service technologies: investigation on how self-service technologies influence the consumer’s perception of quality. School of Business, Society and Engineering, Mälardalen University. Boyd, T. C. & Mason, C. H. (1999). The link between attractiveness of “extra brand” attributes and the adoption of innovations. Journal of the Academy of Marketing Science, 27(3), 306-319. Chaudhuri, A. & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: the role of brand loyalty. Journal of Marketing, 65, 81–93. Chen, W. K.., Chang, D. S., & Chen, C. C. (2017). The role of utilitarian and hedonic values on users’ continued usage and purchase intention in a social commerce environment. Journal of Economics and Management, 13( 2), 193-220. Chen, J., Liang, A., & Chen M. (2018). A study on the willingness of college students to use the platform of bicycle-sharing based on perceived value. In International Conference on Management Science and Engineering Management(pp. 1223-1238). Springer, Cham. Chen, S. C., Chen, H. H., & Chen, M. F. (2009). Determinants of satisfaction and continuance intention towards self-service technologies. Industrial Management & Data Systems, 109(9), 1248-1263. doi: 10.1108/02635570911002306 Chi, H. K., Yeh, H. R., & Chiou, C. Y. (2009). The effects of brand affect on female cosmetic users brand loyalty in Taiwan. The Journal of American academy of business, 14(2), 230-236. Columbus, L. (2020). 62% of businesses say self-service BI is essential in 2020. Forbes. Retrieved from: https://www.forbes.com/sites/louiscolumbus/2020/05/03/62-of-businesses-say-self-service-bi-is-essential-in-2020/#19dedbff9a4a Coulter, K. S., & Coulter, R. A. (2003). The effects of industry knowledge on the development of trust in service relationships. International Journal of Research in Marketing, 20(1), 31-43. doi: 10.1016/S0167-8116(02)00120-9 Coulter, K. S., & Coulter, R.A. (2002). Determinants of trust in a service provider: the moderating role of length of relationship. Journal of Services Marketing, 16(1), 35–50. doi: 10.1108/08876040210419406 Crespo, Á. H., Bosque I. R., & Salmones Sánchez, M. M. G. (2009). The influence of perceived risk on internet shopping behavior: a multidimensional perspective. Journal of Risk Research, 12(2), 259-277. doi: 10.1080/13669870802497744 Crosby, L. A., Evans, K. R., & Cowles, D. (1990). Relationship quality in services selling: an interpersonal influence perspective. Journal of marketing, 54(3), 68-81. Curran, J. M. & Meuter, M. L. (2007). Encouraging existing customers to switch to self-service technologies: put a little fun in their lives. Journal of Marketing Theory and Practice, 15(4), 283-298, doi: 10.2753/MTP1069-6679150401 Das, T. & Teng, B. (2004). The risk-based view of trust: a conceptual framework. Journal of Business and Psychology, 19(1), 85-116. Dabholkar, P. A. & Bagozzi, R. P. (2002). An attitudinal model of technology - based self -service: moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184-201. Dabholkar, P. A., Bobbitt, L. M., & Lee, E. J. (2003). Understanding consumer motivation and behavior related to self‐scanning in retailing. International Journal of Service Industry Management, 14(1). 59-95. doi: 10.1108/09564230310465994 Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of applied social psychology, 22(14), 1111-1132. Davis, F. D., Bogozzi, R., P., & Warshaw, P., R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 982-1003. Delgado-Ballester, E., Munuera-Aleman, J. L., & Yague-Guillen, M. J. (2003). Development and validation of a brand trust scale. International journal of market research, 45(1), 35-54. Deutsch, M., Coleman, P. T., & Marcus, E. C. (2011). (Eds.). The handbook of conflict resolution: theory and practice. John Wiley & Sons. Dirks, K. T. (1999). The effects of interpersonal trust on work group performance. Journal of Applied Psychology, 84(3), 445-455. Doney, P. M., & Cannon, J. P. (1997). An examination of the nature of trust in buyer seller relationships. Journal of Marketing, 61(2), 35-51. Dowling, G. R., & Staelin, R. (1994). A model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21(1), 119–134. Evanschitzky, H., Iyer, G. R., Pillai, K. G., Kenning, P., & Schütte, R. (2014). Consumer trial, continuous use, and economic benefits of a retail service innovation: the case of the personal shopping assistant. J PROD INNOV MANAG, 32(3), 459–475. doi: 10.1111/jpim.12241 Fauzan, L. & Ariyanti, M. (2015). Factors that influence online retail brand trust (case study lazada indonesia). The 6th Seminar & Conference on Business & Technology in ICT Industry (SCBTII 2015), 33-38. Featherman, M. S. & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474. doi: 10.1016/S1071-5819(03)00111-3 Fishbein, M. & Ajzen, I. (1975). Beliefs, attitude, intention, and behavior: an introduction to theory and research, Reading. Ma: AddisonWesley. Flavian, C., Guinalıu, M., & Gurrea, R. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & Management, 43(1), 1-14. doi: 10.1016/j.im.2005.01.002 Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research (JMR), 18(1), 39-50. Forsythe, S., Liu, C., Shannon, D., & Gardner L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of Interactive Marketing, 20(2), 55-75. doi: 10.1002/dir Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737. doi: 10.1016/S0305-0483(00)00021-9 Globerson, S. & Maggard, M. J. (1991). A conceptual model of self‐service. International journal of operations & production management, 11(4). doi: 10.1108/01443579110002977 Glover, S. & Benbasat, I. (2010). A comprehensive model of perceived risk of e-commerce transactions. International Journal of Electronic Commerce, 15(2), 47-78. doi: 10.2753/JEC1086-4415150202 Grazioli, S. & Jarvenpaa, S. L. (2000). Perils of internet fraud: an empirical investigation of deception and trust with experienced internet consumers. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(4), 395-410. Guha, A., Biswas, A., Grewal, D., Bhowmick, S., & Nordfält, J. (2018). An empirical analysis of the joint effects of shoppers’ goals and attribute display on shoppers’ evaluations. Journal of Marketing, 82(3), 142-156. doi: 10.1509/jm.16.0247 Hair, J. F., Anderson, R.E., Tatham R. L. and Black, W. C. (1998), Multivariate data analysis (5th edition), Prentice-Hall, Englewood Cliffs, NJ. Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior, 80, 197-206. doi: 10.1016/j.chb.2017.11.010 Hart, C., Farrell, A. M., Stachow, G., & Reed, G. (2007). Enjoyment of the shopping experience: impact on customers` repatronage intentions and gender influence. Service Industries Journal, 27(5), 583-604. doi: 10.1080/02642060701411757 Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704. doi: 10.2307/25148660 Hoffman, K. D. & Bateson, J. E. G. (2001). Essentials of service marketing: concepts, strategies & cases(2th ed.) TX: Harcourt College Publishers. Holbrook, M. B. & Hirschman, E. C. (1982). Hedonic consumption: emerging concepts, methods and propositions. Journal of marketing, 46(3), 92-101. Holbrook, M. B., Rust, R. T., & Oliver, R. L. (1994). Service quality: new directions in theory and practice. The Nature of Customer Value: An Axiology of Services in the Consumption Experience. Sage, Newbury Park, CA, 21-71. Hong, S. H. & Yu, J. H. (2018). Identification of external variables for the technology acceptance model(tam) in the assessment of bim application for mobile devices. IOP Conference Series: Materials Science and Engineering, 401 012027. doi: 10.1088/1757-899X/401/1/012027 Hubona, G. S. & Geitz, S. (1997). External variables, beliefs, attitudes and information technology usage behavior. 30th Hawaii International Conference on System Sciences (HICSS), 3. 21-28. doi: 10.1109/HICSS.1997.661560 Hubona, G. S. & Kennick, E. (1996, January). The influence of external variables on information technology usage behavior. In Proceedings of HICSS-29: 29th Hawaii International Conference on System Sciences (Vol. 4, pp. 166-175). IEEE. Hubona, G. S. & Whisenand, T. G. (1995, August). External variables and the technology acceptance model. In Americas Conference on Information Systems, AMCIS 1995. Hulland, J. (1999). Use of partial least squares (pls) in strategic management research: a review of four recent studies. Strategic management journal, 20(2), 195-204. Jarvenpaa, S. L., & Todd, P. A. (1996). Consumer reactions to electronic shopping on the world wide web. International Journal of electronic commerce, 1(2), 59-88. doi; 10.1080/10864415.1996.11518283 Jensen, H. R. (1996). The interrelationship between customer and consumer value. Asia Pacific Advances in Consumer Research, 2, 60-63. Jeffrey, D. A. (2015). Testing the technology acceptance model 3 (tam 3) with the inclusion of change fatigue and overload, in the Context of Faculty from Seventh-day Adventist Universities: A Revised Model. Jeong, S. C., Kim, S. H., Park, J. Y., & Choi, B. (2017). Domain-specific innovativeness and new product adoption: a case of wearable devices. Telematics and Informatics, 34(5), 399-412. doi: 10.1016/j.tele.2016.09.001 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. doi: 10.1016/j.jbusres.2006.03.006 Kahlert, M., Constantinides E., & de Vries, S. A. (2017). The relevance of technological autonomy in the customer acceptance of iot services in retail. the Second International Conference, 1-7. doi: 10.1145/3018896.3018906 Kallweit, K., Spreer, P., & Toporowski, W. (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(3), 268–276. doi: 10.1016/j.jretconser.2014.02.002 Kim, H. S. (2006). Using hedonic and utilitarian shopping motivations to profile inner city consumers. Journal of Shopping Center Research, 13(1), 57-79. Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management, 14(1), 21-38. doi: 10.4301/s1807-17752017000100002 Lassar, W., Mittal, B., & Sharma, A. (1995). Measuring customer-based brand equity. Journal of consumer marketing, 12(4), 11-19. doi: 10.1108/07363769510095270 Latip, H. F. M., Omar, A. H., Jing, M., & Shahrom, A. (2015). A questionnaire approach based on the technology acceptance model for integrated multiple ankle technology device on patient psychology and progress applications. Jurnal Teknologi, 72(1), 1-6. Lee, S. K., Hong, S. H., Kim, I. H. & Yu, J. H. (2019). Acceptance model for mobile building information modeling (bim). Applied Sciences, 9, 3668. doi: 10.3390/app9183668 Lee, W., Xiong, L., & Hu, C. (2012). The effect of facebook users’ arousal and valence on intention to go to the festival: applying an extension of the technology acceptance model. International Journal of Hospitality Management, 31(3), 819-827. doi: 10.1016/j.ijhm.2011.09.018 Lu, J., Liu, C., Yu, C., & Wang, K. (2008). Determinants of accepting wireless mobile data services in China. Information & Management, 45(1), 52-64. doi: 10.1016/j.im.2007.11.002 Maleki, C. & Sheikhesmaeili, S. (2016). Pattern of structural relationships of the effects of consumption values on product perceived value and purchase intention of chain stores customers. International Journal of Medical Research & Health Sciences, 5(11), 386-392. Mani, Z. & Chouk, I. (2017). Drivers of consumers’ resistance to smart products. Journal of Marketing Management, 33(1-2), 76-97. doi: 10.1080/0267257X.2016.1245212 Marza, S., Idris, I., & Abror, A. (2019). The influence of convenience, enjoyment, perceived risk, and trust on the attitude toward online shopping. In 2nd Padang International Conference on Education, Economics, Business and Accounting (PICEEBA-2 2018). Atlantis Press. Mehrad, D. & Mohammadi, S. (2017). Word of mouth impact on the adoption of mobile banking in iran. Telematics and Informatics, 34(7), 1351-1363. doi: 10.1016/j.tele.2016.08.009 Meuter, M. L., Bitner, M. J., Ostrom, A. L., & Brown, S. W. (2005). Choosing among alternative service delivery modes: an investigation of customer trial of self-service technologies. Journal of marketing, 69(2), 61-83. Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: understanding customer satisfaction with technology-based service encounter. Journal of Marketing, 64(3), 50-64. Moorman, C., G. Zaltman, & Deshpande, R. (1992). Relationships between providers and users of market research: the dynamics of trust within and between organisations. Journal of Marketing Research, 29(3), 314-328. doi: 10.2307/3172742 Morar, D. D. (2013). An overview of the consumer value literature – perceived value, desired value. Marketing From Information to Decision, (6), 169-186. Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of marketing, 58(3), 20-38. Naiyi, Y. E. (2004). Dimensions of consumer’s perceived risk in online shopping. Journal of Electronic Science and Technology of China, 2(3), 177-182. Natarajan, R. C. (2009). Relationship between trust and monitoring-an experimental study of principal-agent relationship. Indore Management Journal [IIM-Indore], 1(3), 1-33. Nysveen, H., Thorbjørnsen, H., & Pedersen, P. E. (2005). Intentions to use mobile services: antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330-346. doi: 10.1177/0092070305276149 Ostrom, A. - Iacobucci, D. (1995). Consumer trade-offs and the evaluation of services. Journal of Marketing, 59(1): 17-28. 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), 1160-1166. doi: 10.1016/j.jbusres.2006.03.008 Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students` behavioral intention to use e-learning. Educational Technology & Society, 12(3), 150–162. Peter, J. P., & Ryan, M. J. (1976). An investigation of perceived risk at the brand level. Journal of marketing research, 13(2), 184-188. Petrick, J. F. (2004). The roles of quality, value, and satisfaction in predicting cruise passengers’ behavioral intentions. Journal of travel research, 42(4), 397-407. doi: 10.1177/0047287504263037 Petrick, J. F. (2002). Development of a multi-dimensional scale for measuring the perceived value of a service. Journal of leisure research, 34(2), 119-134. doi: 10.1080/00222216.2002.11949965 Podsakoff, P. M., & Organ, D. W. 1986. Self-reports in organizational research: problems and prospects. Journal of Management, 12(4): 531–544. Praveena, K. & Thomas, S. (2014). Continuance intention to use facebook: a study of perceived enjoyment and tam. Bonfring International Journal of Industrial Engineering and Management Science, 4(1), 24-29. doi: 10.9756/BIJIEMS.4794 Pura, M. (2005). Linking perceived value and loyalty in location-based mobile services. Managing Service Quality, 15(6), 509-538. doi: 10.1108/09604520510634005 Ramos, F. L., Ferreira, J. B., Freitas, A. S. D., & Rodrigues, J. W. (2018). The effect of trust in the intention to use m-banking. BBR. Brazilian Business Review, 15(2), 175-191. doi: 10.15728/bbr.2018.15.2.5 Ravald, A., & Grönroos, C. (1996). The value concept and relationship marketing. European journal of marketing, 30(2), 19-30. doi: 10.1108/03090569610106626 Rodríguez-Ardura, I. & Meseguer-Artola, A. (2020). How to prevent, detect and control common method variance in electronic commerce research. Journal of theoretical and applied electronic commerce research, 15(2). doi: 10.4067/S0718-18762020000200101 Rouibah, K., Lowry, P. B., & Hwang, Y. (2016). The effects of perceived enjoyment and perceived risks on trust formation and intentions to use online payment systems: new perspectives from an arab country. Electronic Commerce Research and Applications, 19, 33-43. doi: 10.1016/j.elerap.2016.07.001 Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: a cross-discipline view of trust. Academy of management review, 23(3), 393-404. Sanayei, A. & Bahmani, E. (2012). Integrating tam and tpb with perceived risk to measure customers’ acceptance of internet banking. International Journal of Information Science and Management, 10, 25-37. Schurr, P. H. & Ozanne, J. L. (1985). Influences on exchange processes: buyers` preconceptions of a seller`s trustworthiness and bargaining toughness. Journal of consumer research, 11(4), 939-953. Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: a theory of consumption values. Journal of Business Research, 22(2), 159-170. Siraye, Z. (2014). Customers’ adoption of electronic banking service channels in ethiopia: an integration of technology acceptance model and perceived risk with theory of planned behaviour. International Journal. Electronic Finance, 8(1), 21-34. doi: 10.1504/IJEF.2014.063993 Snoj, B., Pisnik, A., & Mumel, D. (2004). The relationships among perceived quality, perceived risk and perceived product value. Journal of Product & Brand Management, 13(3), 156-167. doi: 10.1108/10610420410538050 Suh, B. & Han, I. (2002). Effect of trust on customer acceptance of internet banking. Electronic Commerce Research and Applications, 1(3-4), 247-263. doi: 10.1016/S1567-4223(02)00017-0 Sung, Y. & Kim, J. (2010). Effects of brand personality on brand trust and brand affect. Psychology & Marketing, 27(7), 639-661. doi: 10.1002/mar.20349 Swait, J. & Sweeney, J. C. (2000). Perceived value and its impact on choice behavior in a retail setting. Journal of Retailing and Consumer Services, 7(2), 77-88. doi: 10.1016/S0969-6989(99)00012-0 Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: the development of a multiple item scale. Journal of retailing, 77(2), 203-220. doi: 10.1016/S0022-4359(01)00041-0 Tehseen, S., Ramayah, T., & Sajilan, S. (2017). Testing and controlling for common method variance: a review of available methods. Journal of Management Sciences, 4(2), 142-168. doi: 10.20547/jms.2014.1704202 Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational statistics & data analysis, 48(1), 159-205. doi: 10.1016/j.csda.2004.03.005 Teo, T. S. (2001). Demographic and motivation variables associated with internet usage activities. Internet Research: Electronic Networking Applications and Policy, 11(2), 125-137. Van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European journal of information systems, 12(1), 41-48. doi: i:10.1057/ palgrave.ejis.3000445 Venkatesh, V. & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences Institute, 39(2), 273-315. doi: 10.1111/j.1540-5915.2008.00192.x Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46 (2), 186-204. doi: 10.1287/mnsc.46.2.186.11926 Venkatesh, V., Morris, M.G., Davis, F.D., & Davis, G.B. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27, 425-478. 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. Wang, Y., Lo, H. P., Chi, R., & Yang, Y. (2004). An integrated framework for customer value and customer-relationship-management performance: a customer-based perspective from china. Managing service quality, 14(2-3), 169-182. doi: 10.1108/09604520410528590 Wells, J. D., Campbell, D. E., Valacich, J. S., & Featherman, M. (2010). The effect of perceived novelty on the adoption of information technology innovations: a risk/reward perspective. Decision Sciences Journal, 41(4), 813-843. Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using pls path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS quarterly, 33(1), 177-195. doi:10.2307/20650284 Wold, H. (1975). Path models with latent variables: the nipals approach. Quantitative sociology, 307-357. doi: 10.1016/B978-0-12-103950-9.50017-4 Worchel, P. (1979). Trust and distrust. In W. G. Austin & S. Worchel (Eds.), The Social Psychology of Intergroup Relations(pp.174-187). Monterey, CA: Brooks, Cole. Yendra, Brasit, N., Jusni, & Nursyamsi, I. (2017). An analysis on factors that influence customers’ intention to use internet banking in Jayapura city. Scientific Research Journal (SCIRJ), 5(8), 29-37. Yong, X., Jianbin, X., & Yu, B. (2017). A study on the factors about customers’ acceptability to airline ancillary products. Procedia Computer Science, 107, 39-46. doi: 10.1016/j.procs.2017.03.053 Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the tam for a t-commerce. Information & Management, 42(7), 965-976. doi: 10.1016/j.im.2004.11.001 Zhu, D. S., Lee, Z. C., O’Neal, G. S., & Chen, Y. H. (2009). The effect of trust and perceived risk on consumers’ online purchase intention. . In 2009 International Conference on Computational Science and Engineering (Vol. 4, pp. 771-776). IEEE. Zhang, J., & Mao, E. (2008). Understanding the acceptance of mobile sms advertising among young chinese consumers. Psychology and Marketing, 25(8), 787-805. doi: 10.1002/mar.20239 Zhang, T., Tao, D., Qu, X., Zhang, X., Lin, R., & Zhang, W. (2019). The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transportation research part C: emerging technologies, 98, 207-220. doi: 10.1016/j.trc.2018.11.018 Zhang, L.; Zhu, J., & Liu, Q. (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior, 28(5), 1902-1911. doi: 10.1016/j.chb.2012.05.008
描述:	碩士國立政治大學企業管理研究所(MBA學位學程) 107363020
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0107363020
資料類型:	thesis
DOI:	10.6814/NCCU202001750
顯示於類別:	[企業管理研究所（MBA學位學程）] 學位論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
302001.pdf		2947Kb	Adobe PDF2	0	檢視/開啟

在政大典藏中所有的資料項目都受到原著作權保護.

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

DSpace Software Copyright © 2002-2004 MIT & Hewlett-Packard / Enhanced by NTU Library IR team Copyright © - 回饋