Technology Acceptance Model을 적용한 외식기업의 SNS특성이 사용자 지각과 온라인 구전의도에 미치는 영향 = The Effects of SNS Characteristics of Food Service Firms Applying Technology Acceptance Model (TAM) on Users Perception and Online Word-of-Mouth Intention
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Technology Acceptance Model을 적용한 외식기업의 SNS특성이 사용자 지각과 온라인 구전의도에 미치는 영향 = The Effects of SNS Characteristics of Food Service Firms Applying Technology Acceptance Model (TAM) on Users Perception and Online Word-of-Mouth Intention' 의 주제별 논문영향력
논문영향력 요약
주제
sns특성
tam
technology acceptance mode
사용자 지각
온라인 구전의도
외식기업
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
448
0
0.0%
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제어
sns특성
36
0
0.0%
tam
301
0
0.0%
technology acceptance mode
8
0
0.0%
사용자 지각
1
0
0.0%
온라인 구전의도
14
0
0.0%
외식기업
88
0
0.0%
계
448
0
0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수
0
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Technology Acceptance Model을 적용한 외식기업의 SNS특성이 사용자 지각과 온라인 구전의도에 미치는 영향 = The Effects of SNS Characteristics of Food Service Firms Applying Technology Acceptance Model (TAM) on Users Perception and Online Word-of-Mouth Intention' 의 참고문헌
YangK, L. D. Jolly.(2009), The Effects of Consumer PerceivedValueand Subjective Normon Mobile Data Service Adoptionbetween American and Korean Consumers, Journal of Retailingand Consumer Services 16(6): 502-508.
Yang, K. and L. D. Jolly.(2009), The Effects of Consumer Perceived Value and Subjective Norm on Mobile Data Service Adoption between American and Korean Consumers, Journal of Retailing and Consumer Services 16(6):502-508.
Venkatesh, V., and Davis, F.D.(2000), A Theoretical Extension of theTechnology Acceptance Model: Four Longitudinal Field Studied. Management Science, 46(2): 186-204.
Venkatesh, V.(2000), Determinants of Perceived Ease of Use: Integrating control,Intrinsic Motitation, and Emotion in to the Technology Acceptance Model,Information Systems Research, 11(4): 342-365.
Venkatesh, V.(1999), Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation. MIS Quarterly 23(3): 319-340.
Vallerand & O’Connor.(1989), Motivation in the Elderly, A the or etical frame work and some promising findings, Canadian Psychology, 30(3): 538-548.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS quarterly, 15(1), 125-143.
Taylor, S., & Todd, P. A.(1995), Assessing IT Usage: The Role of Prior Experience. MIS Quarterly 19(2):561-570.
Taylor, S. & Todd, P. A.(1995), Understanding information Technology Usage: A Test of Computing Models, Information Systems Research 6(2):144-176.
Subrahman yam, K., Reich, S. M., Waechter, N. & Espinoza, G.(2008), Online and offline social networks: Use of social networkingsites by emerging adults, Journal of Applied DevelopmentalPsychology 29(6): 420-433.
Spears & Singh.(2004), Measuring Attitude Toward the Brand andPurchase Intentions, Journal of Current Issues and Research inAdvertising 26(2) 53-66.
Smith, G.(2007), Social software building blocks, http://nform.com/publications.
Smith & Swinyard.(1982), Information Response Models: An IntegratedApproach, J ournal of Marketing 46(1): 81-90.
Sato, A.(2005), Social network characteristics and intention toparticipate in social activity programs at a new senior center,Doctoral Thesis, The Ohio State University.
Pfeil U, Arjan R, Zaphiris P.(2009), Age differences in online socialnetworking-A study of user profiles and the social capital divideamong teenagers and older users in My Space, Computer inHuman Behavior 25(3): 643-654.
Muniz & O' Guninn.(2001), Brand Community, Journal of Consumer Research 27(4): 425.
Molla A, Licker P. S.(2001), E-commerce success: An attempt toextend andres pecify the Deline and Maclean model of ISsuccess, Journal of Electronic Commerce Research 12(4): 131-141.
Mittal B.(1994), An In tegrated Framework for Relating DiverseConsumer Characteristics to Supermarket Coupon Redemption,Journal of Marketing Research 31(Nov.): 533-544.
Mislove A, Marcon M, Gummadi K. P, Druschel P, BhattacharjeeB.(2007), Measurement and Analysis of Online Social Networks,Constantine Dovrolis Georgia Institute of Technology: 29-42.
Mathieson, K.(1991), Predicting user intention: comparing thetechnology acceptance model with the theory of plannedbehavior, Information System Reserch 2(2): 173-191.
Maignan & Lukas.(1997), The nature and social use of the internet,Journal of Consumer Affairs 31(2) 326-344.
LinJ. Chuan-Chuan, HLu.(2000), To ward san understanding of thebehavioral intention to user a web site. International Journal ofInformation 20(3): 197-208.
Lin KY, Lu H.(2011), Why People Use Social Networking Sites: AnEmpirical Study Integrating Network Externalities andMotivation Theory, Computers in Human Behavior 27: 1152-1161.
Liao Z, Cheung M. T.(2001), Internet baced e-shopping and consumerattitudes: an empirical study, Information and Management 38(5): 350-355.
Hsu, M. H., Chiu, C. M., & Ju, T. L.(2004), Determinants of Continued Use of the WWW: An Integration of Two Theoretical Models. Industrial Management and Data Systems 104(9): 766-775.
Holbrook M. B, R. Batra.(1987), Assessing the roles of emotions asmediators of consumer responses to advertising, J ournal ofconsumer research 14(9): 404-420.
Gipp, N., S. P. Kalafatis, and L. Ledden.(2008), Perceived Value of Corporate Donations: An Empirical Investigation, International Journal of Nonprofit and Voluntary Sector Marketing 13(4): 327-346.
Fishbein, M., & Ajzen, I.(1980), Understanding attitudes and predictingsocial behavior, Englewood Cliffs, NJ: nPrentice Hall.
Fishbein, M. and Ajzen, I.(1975), Belief, Attitude, Intention andBehavior: An Introduction to Theory and Research, Reading,MA: Addison Wesley publishing company.
Ettinger, W. H.(1998), “Consumer-perceived value: The key to a successful business strategy in the health care market place,” Journal of the American Geriatrics Societ, 46(1): 111-113.
Engel, Blackwell & Minard.(1990), Consumer Behavior, Word ofMouth Communication by the Innovator, Journal ofMarketing 33(1): 15-19.
Eighmey, J.(1997), Profiling user responses to commercial web sites,Journal of Advertising Research 37(3): 59-66.
Dickinger, A. and M. Kleijnen.(2008), Coupons Going Wireless:Determinants of Consumer Intentions to Redeem MobileCoupons, Journal of Interactive Marketing 22(3): 23-39.
Deighton John.(1996),「The Future of Interactive Marketing」,『Harvard Business Review』74(6): 151.
DeWulf, K., N. Schillewaert., S. Muylle & D. Rangarajan.(2006), 「The role of pleasure in web site success」,『Information &Management』, 43(4), 434-446.
DeLone, W. H., & McLean, E. R.(1992), Information system success:The quest for the dependent variable. Information systemResearch, 3(1): 60-95.
DeLone, W. H. & McLean, E. R.(1992), 「Informatio nsystem success:The quest for the dependent variable」, 『Information SystemsResearch』, 18(1): 113-120.
De Wulf, K., N. Schillewaert, S. Muylle, D. Rangarajan.(2006), The roleof pleasure in website success. Information and Management43(4): 434-446.
Davis,F.D.(1986), A technology acceptance modelforempirically testingnew end-user information system: Theory and results, doctoraldissertation Massachusetts Institute of Technology: 26.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. P.(1992), Extrinsic andIntrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology 22(14): 1111-1132.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. P.(1989), User Acceptanceof Computer Technology: A Comparison of Two TheoreticalModels. Management Science 35(8): 982-1003.
Davis, F. D.(1993), User of Acceptance of Information Technology:System Characteristics, User Perceptions and BehavioralImpacts, International Journal of Man-Machine Studies 38(3): 475-487.
Davis, F. D.(1989), Perceived usefulness, perceived ease of use, anduser acceptance of Information Technology, MIS Quarterly,25(3): 351.
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.(1989), “Perceived Usefulness, Perceived Ease of Use, andUse Acceptance of Information Technology”, MIS Quarterly13(3): 319-340.
Cronin, J.J. Jr., Michael K. Brady, Richard R. Brand, Roscoe HightowerJr., and Donald J. Shemwell.(1997), A Cross-sectional Test ofthe Test of the Effect and Conceptualization of Service Value,The Journal of Service Market.
Corritore. C. L., Beverly. K. & Susan W.(2003), Online trust; concept,evolving themes, a model. International Journal ofHuman-Computer Studies 58(6): 737-758.
Clemmit, M. (2006), Cyber socializing: Are Internet Sites Like MySpace Potentially Dangerous Congressional Quarterly.
Chen, L. D., Gillenson, M. L., & Sherrell, D. L.(2002), Enticing onlineconsumers: An extended technology acceptancd perspective. Information and Management, 39(8): 705-719.
Boyd, D. M., & Ellison, N. B. (2008). Social network sites: Definition, historyand scholarship. Journal of Computer?Mediated Communication, 13(1),210-230.
Boyd & Ellison.(2007), Social Network Sites: Definition, History, andScholarship, Journal of Computer-Mediated Communication13(1): 210.
Assael, H.(1998). Consumer behaviour and marketing action. cincinnati, OH: South-western college publishing.
Anderson, E. & Weitz, B.(1992). The use of pledges to build and susain commitment in disribution channels. Journal of Marketing Research (Feb.): 18-34.
An and ara jan, M., Simmers, C. & Igbaria, M.(2000), An exploratoryinvestigation of the antecedents and impact of internet usage:An individual perspective. Behaviour and InformationTechnology 19(1): 69-85.
Ajzen,I. & T. J. Madden.(1986), Prediction of goal-directed behavior: Attitude, intentions and perceived behavioral control. Journal of Experimental Social Psychology 22(2): 453-474.
Agarwal, R., and Venkatesh, V.(2002), Assessing a firm’s web presence: A heuristic evaluation procedure for the measurement of usability. Information Systems Research 13(2): 168-186.
Agarwal, R., & Prasad, J.(1997), The Role of Innovation Characteristicsand Perceived Voluntariness in the Acceptance of InformationTechnologies. Decision Sciences 28(3): 557-582.
Adam, D., Nelson, R., & Todd, P.(1992), Perceived Usefulness, Ease ofUse, and Usage of Information Technology: A Replication. MISQuarterly 16(2): 227-248.
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Technology Acceptance Model을 적용한 외식기업의 SNS특성이 사용자 지각과 온라인 구전의도에 미치는 영향 = The Effects of SNS Characteristics of Food Service Firms Applying Technology Acceptance Model (TAM) on Users Perception and Online Word-of-Mouth Intention'
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