Publications-Theses
Article View/Open
Publication Export
-
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<br>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 5-Oct-2020 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.2019.101901Agag, 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.2016.01.007Ajina, 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.2019.5.030Alsulaiman, 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/10182/5536Altman, I. & Taylor, D. A. (1973). Social penetration: The development of interpersonal relationships. The Journal of Social Psychology, 75(1). 79-90. doi: 10.1080/00224545.1968.9712476Aransyah, 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.v11n10p111Ayeh, 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.2012.06.010Babin, 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: 10.1108/02635570911002306Chi, 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/#19dedbff9a4aCoulter, 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)00120-9Coulter, 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: 10.1108/08876040210419406Crespo, 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: 10.1080/13669870802497744Crosby, 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/MTP1069-6679150401Das, 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: 10.1108/09564230310465994Davis, 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.12241Fauzan, 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)00111-3Fishbein, 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.2005.01.002Fornell, 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/dirGefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737. doi: 10.1016/S0305-0483(00)00021-9Globerson, S. & Maggard, M. J. (1991). A conceptual model of self‐service. International journal of operations & production management, 11(4). doi: 10.1108/01443579110002977Glover, 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/JEC1086-4415150202Grazioli, 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.16.0247Hair, 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.2017.11.010Hart, 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: 10.1080/02642060701411757Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704. doi: 10.2307/25148660Hoffman, 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/401/1/012027Hubona, 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.1997.661560Hubona, 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; 10.1080/10864415.1996.11518283Jensen, 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.2016.09.001Jones, 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.2006.03.006Kahlert, 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: 10.1145/3018896.3018906Kallweit, 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.2014.02.002Kim, 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/s1807-17752017000100002Lassar, W., Mittal, B., & Sharma, A. (1995). Measuring customer-based brand equity. Journal of consumer marketing, 12(4), 11-19. doi: 10.1108/07363769510095270Latip, 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/app9183668Lee, 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.2011.09.018Lu, 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.2007.11.002Maleki, 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.2016.1245212Marza, 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.2016.08.009Meuter, 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: 10.2307/3172742Morar, 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: 10.1177/0092070305276149Ostrom, 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.2006.03.008Park, 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: 10.1177/0047287504263037Petrick, 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: 10.1080/00222216.2002.11949965Podsakoff, 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.4794Pura, M. (2005). Linking perceived value and loyalty in location-based mobile services. Managing Service Quality, 15(6), 509-538. doi: 10.1108/09604520510634005Ramos, 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.2018.15.2.5Ravald, A., & Grönroos, C. (1996). The value concept and relationship marketing. European journal of marketing, 30(2), 19-30. doi: 10.1108/03090569610106626Rodríguez-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/S0718-18762020000200101Rouibah, 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.2016.07.001Rousseau, 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.2014.063993Snoj, 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: 10.1108/10610420410538050Suh, 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)00017-0Sung, Y. & Kim, J. (2010). Effects of brand personality on brand trust and brand affect. Psychology & Marketing, 27(7), 639-661. doi: 10.1002/mar.20349Swait, 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)00012-0Sweeney, 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)00041-0Tehseen, 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.2014.1704202Tenenhaus, 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.2004.03.005Teo, 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.3000445Venkatesh, 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.xVenkatesh, 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.46.2.186.11926Venkatesh, 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: 10.1108/09604520410528590Wells, 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:10.2307/20650284Wold, H. (1975). Path models with latent variables: the nipals approach. Quantitative sociology, 307-357. doi: 10.1016/B978-0-12-103950-9.50017-4Worchel, 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.2017.03.053Yu, 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.2004.11.001Zhu, 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.20239Zhang, 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.2018.11.018Zhang, 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 dc.contributor.advisor 李易諭<br>廖森貴 zh_TW dc.contributor.author (Authors) 陳亞臻 zh_TW dc.contributor.author (Authors) Chen, Ya-Chen en_US dc.creator (作者) 陳亞臻 zh_TW dc.creator (作者) Chen, Ya-Chen en_US dc.date (日期) 2020 en_US dc.date.accessioned 5-Oct-2020 15:19:46 (UTC+8) - dc.date.available 5-Oct-2020 15:19:46 (UTC+8) - dc.date.issued (上傳時間) 5-Oct-2020 15:19:46 (UTC+8) - dc.identifier (Other Identifiers) G0107363020 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/132090 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 企業管理研究所(MBA學位學程) zh_TW dc.description (描述) 107363020 zh_TW dc.description.abstract (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。 zh_TW dc.description.tableofcontents 摘要 I謝辭 II目次 III表次 VI圖次 VIII第一章 緒論 1第一節 研究動機與目的 1第二節 研究流程 3第二章 文獻探討 4第一節 自助服務科技 4第二節 信任─品牌信任 5第三節 知覺價值 7第四節 科技接受模型 11第五節 科技接受模型與自助服務科技之相關研究 17第三章 研究方法 25第一節 研究設計與架構 25第二節 變量定義與假說 32第三節 問卷設計 38第四節 資料分析方法 44第四章 研究結果與分析 48第一節 敘述性統計分析 48第二節 信效度分析 58第三節 共同方法變異 60第四節 研究模型分析與假說驗證 60第五章 結論與建議 67第一節 研究結論 67第二節 管理意涵 72第三節 研究限制與未來研究建議 74參考文獻 76中文文獻 76英文文獻 78表次表 2-1 知覺價值定義 7表 2-2 科技接受模型之外部變量列舉 13表 2-3 科技接受模型相關之國內外研究 18表 2-4 與自助服務科技及科技接受模型相關之國內外文獻 20表 3-1 訪談大綱 26表 3-2 模型構面對應之訪談題目 27表 3-3 模型構面對應之訪談題目 28表 3-4 整理之訪談結果 30表 3-5 本文研究假說 33表 3-6 研究架構模型問卷題目 40表 3-7 個人基本資料題目 44表 3-8 GoF方程式與標準 47表 4-1 暖身性問題分析結果 49表 4-2 個人基本資料分析結果 50表 4-3 知覺有用性題項填答統計資料 52表 4-4 知覺易用性題項填答統計資料 53表 4-5 使用態度題項填答統計資料 54表 4-6 使用行為意圖題項填答統計資料 55表 4-7 知覺風險題項填答統計資料 56表 4-8 知覺有趣性題項填答統計資料 57表 4-9 知覺新奇性題項填答統計資料 57表 4-10 信任題項填答統計資料 58表 4-11 研究構面CR與AVE值 59表 4-12 研究構面之顯著路徑分析結果 62表 4-13 本研究假說檢定結果 66表 5-1 本研究假說檢定結果 68圖次圖 1-1 本文研究流程圖 3圖 2-1 自助服務科技分類 5圖 2-2 科技接受模型之架構圖 14圖 2-3 第二代科技接受模型之架構圖 15圖 2-4 第三代科技接受模型之架構圖 16圖 2-5 科技接受與使用整合模型之架構圖 17圖 2-6 國內外文獻之模型構面因子分類 23圖 3-1 本文研究架構模型 25圖 4-1 研究模型之路徑係數統計分析結果 62 zh_TW dc.format.extent 3018277 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0107363020 en_US dc.subject (關鍵詞) 科技接受模型 zh_TW dc.subject (關鍵詞) 知覺價值 zh_TW dc.subject (關鍵詞) 信任 zh_TW dc.subject (關鍵詞) 自助服務科技 zh_TW dc.title (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 zh_TW dc.title (題名) The Study on the Relationship among Perceived Value, Attitude towards Use, Behavioral Intention and Trust in Applying Self-Service Kiosk en_US dc.type (資料類型) thesis en_US dc.relation.reference (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.2019.101901Agag, 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.2016.01.007Ajina, 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.2019.5.030Alsulaiman, 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/10182/5536Altman, I. & Taylor, D. A. (1973). Social penetration: The development of interpersonal relationships. The Journal of Social Psychology, 75(1). 79-90. doi: 10.1080/00224545.1968.9712476Aransyah, 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.v11n10p111Ayeh, 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.2012.06.010Babin, 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: 10.1108/02635570911002306Chi, 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/#19dedbff9a4aCoulter, 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)00120-9Coulter, 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: 10.1108/08876040210419406Crespo, 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: 10.1080/13669870802497744Crosby, 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/MTP1069-6679150401Das, 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: 10.1108/09564230310465994Davis, 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.12241Fauzan, 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)00111-3Fishbein, 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.2005.01.002Fornell, 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/dirGefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737. doi: 10.1016/S0305-0483(00)00021-9Globerson, S. & Maggard, M. J. (1991). A conceptual model of self‐service. International journal of operations & production management, 11(4). doi: 10.1108/01443579110002977Glover, 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/JEC1086-4415150202Grazioli, 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.16.0247Hair, 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.2017.11.010Hart, 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: 10.1080/02642060701411757Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704. doi: 10.2307/25148660Hoffman, 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/401/1/012027Hubona, 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.1997.661560Hubona, 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; 10.1080/10864415.1996.11518283Jensen, 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.2016.09.001Jones, 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.2006.03.006Kahlert, 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: 10.1145/3018896.3018906Kallweit, 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.2014.02.002Kim, 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/s1807-17752017000100002Lassar, W., Mittal, B., & Sharma, A. (1995). Measuring customer-based brand equity. Journal of consumer marketing, 12(4), 11-19. doi: 10.1108/07363769510095270Latip, 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/app9183668Lee, 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.2011.09.018Lu, 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.2007.11.002Maleki, 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.2016.1245212Marza, 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.2016.08.009Meuter, 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: 10.2307/3172742Morar, 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: 10.1177/0092070305276149Ostrom, 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.2006.03.008Park, 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: 10.1177/0047287504263037Petrick, 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: 10.1080/00222216.2002.11949965Podsakoff, 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.4794Pura, M. (2005). Linking perceived value and loyalty in location-based mobile services. Managing Service Quality, 15(6), 509-538. doi: 10.1108/09604520510634005Ramos, 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.2018.15.2.5Ravald, A., & Grönroos, C. (1996). The value concept and relationship marketing. European journal of marketing, 30(2), 19-30. doi: 10.1108/03090569610106626Rodríguez-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/S0718-18762020000200101Rouibah, 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.2016.07.001Rousseau, 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.2014.063993Snoj, 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: 10.1108/10610420410538050Suh, 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)00017-0Sung, Y. & Kim, J. (2010). Effects of brand personality on brand trust and brand affect. Psychology & Marketing, 27(7), 639-661. doi: 10.1002/mar.20349Swait, 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)00012-0Sweeney, 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)00041-0Tehseen, 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.2014.1704202Tenenhaus, 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.2004.03.005Teo, 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.3000445Venkatesh, 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.xVenkatesh, 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.46.2.186.11926Venkatesh, 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: 10.1108/09604520410528590Wells, 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:10.2307/20650284Wold, H. (1975). Path models with latent variables: the nipals approach. Quantitative sociology, 307-357. doi: 10.1016/B978-0-12-103950-9.50017-4Worchel, 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.2017.03.053Yu, 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.2004.11.001Zhu, 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.20239Zhang, 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.2018.11.018Zhang, 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 zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202001750 en_US
