Browse > Article
http://dx.doi.org/10.3745/KIPSTD.2009.16D.6.945

Analysis of Determinants and Moderator Effects of User Age and Experience for VoIP Acceptance  

Kim, Ki-Youn (연세대학교 정보대학원)
Lee, Duk-Sun (연세대학교 정보대학원)
Seol, Jeong-Seon (한국통신사업자연합회)
Lee, Bong-Gyou (연세대학교 정보대학원)
Publication Information
The KIPS Transactions:PartD / v.16D, no.6, 2009 , pp. 945-960 More about this Journal
Abstract
The purpose of this study is to define determinants of VoIP user acceptance and to verify significant causality among latent variables - performance expectancy, effort expectancy, cost expectancy, social influence, facilitating conditions, behavioral intend, use behavior - based on UTAUT model. We presented the expanded hypotheses including the new factor, cost expectancy and analyzed the moderating effect of user age, gender and usage experience variables. For a accuracy of predicted results, we focused on survey analysis with 641 real user samples. Compared to previous studies, it is meaningful that this research verified the conceptual difference between behavioral intention and usage behavior. As a result, all proposed hypotheses accepted and moderating effects are supported significantly in age and use experience moderating variables.
Keywords
Voice Over Internet Protocol; UTAUT; Cost Expectancy; Structural Equation Model; User Acceptance; Moderator Effect;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 F.D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly 13(3), pp.319-339, 1989   DOI   ScienceOn
2 S. Jeroen and W. Martin, “A Meta-analysis of the Technology Acceptance Model: Investigating Subjective Norm and Moderation Effects,” Information and Management 44, pp.90-103, 2007   DOI   ScienceOn
3 V. Venkatesh, “Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model,” Information System Research 11(4), pp.342-365, 2000   DOI   ScienceOn
4 R.L. Thompson, C.A. Higgins and J.M. Howell, “Personal Computing: Toward a Conceptual Model of Utilization,” MIS Quarterly 15(1), pp.124-143, 1991   DOI   ScienceOn
5 D.W. Gerbing and J.G. Hamilton, “Viablity of Exploratory Factor Analysis as a Precursor to Confirmatory Factor Analysis,” Structural Equation Modeling 3(1), pp.62-72, 1996   DOI
6 김대업, “논문작성절차에 따른 구조방정식 모형분석”, 학현사, 2008
7 R.P. Bagozzi and Y.J. Yi, “Multitrait-Multimethod Matrices in Consumer Research,” Journal of Consumer Research 17(4), pp.426-439, 1991   DOI   ScienceOn
8 M. Fishbein and I. Ajzen, “Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research,” Addison-Wesley, Reading, MA, pp.311-315, 1975
9 D. Gefen and D. Straub, “The Relative Importance of Perceived Ease of Use in IS Adoption,” Journal of the Association for Information Systems 1(8), 2000
10 J.W. Moon, and Y.G. Kim, “Extending the TAM for a World Wide Web context,” Information and Management 38, 2001   DOI   ScienceOn
11 E. Karahanna and D.W. Straub, “The Psychological Origins of Perceived Usefulness and Ease-of-use,” Information and Management 35(4), pp.237-250, 1999   DOI   ScienceOn
12 U. Varshney, A. Snow, M. McGivern and C. Howard, “Voice over IP,” Communications of the ACM 45(1), pp.89-96, 2002   DOI   ScienceOn
13 M. Zubey, W. Wagner and J.R. Otto, “A Conjoint Analysis of Voice over IP Attributes,” Internet Research 12(1), pp.7-15, 2002   DOI   ScienceOn
14 I. Constantiou and K. Kautz, “Economic Factors and Diffusion of IP Telephony: Empirical Evidence from an Advanced Market,” Telecommunications Policy 32(3-4), pp.197-211, 2008   DOI   ScienceOn
15 B. Kijsanayotin, S. Pannarunothai and S.M. Speedie, “Factors Influencing Health Information Technology Adoption in Thailand's Community Health Centers: Applying the UTAUT Model,” International Journal of Medical Informatics 78, pp.404-416, 2009   DOI   ScienceOn
16 Y.S. Wang and Y.W. Shih, “Why Do People Use of Information Kiosks? A Validation of the Unified Theory of Acceptance and Use of Technology,” Government Information Quarterly 26, pp.158-165, 2009   DOI   ScienceOn
17 F.R. David and R. Dholakia, “Interactivity and Vividness Effects on Social Presence and Involvement with a Web-Based Advertisement,” Journal of Business Research 58(3), pp.387-396, 2005   DOI   ScienceOn
18 S.J. McMillan and J.S. Hwang, “Measures of Perceived Interactivity: An Exploration of the Role of Direction of Communication, User Control and Time in Shaping Perception of Interactivity,” Journal of Advertising 31(3), pp.29-42, 2002   DOI   ScienceOn
19 S. Taylor and P. Todd, “Assessing IT Usage: The Role of Prior Experience,” MIS Quarterly 19, pp. 561-570, 1995   DOI   ScienceOn
20 R.B. Kline, “Principles and Practice of Structural Equation Modeling,” 2nd eds. NY: Guilford Press, 2005
21 H.C. Lucas and V.K. Spitler, “Technology Use and Performance: A Field Study of Broker Workstations,” Decision Science 30(2), pp.291-311, 1999   DOI
22 S.S. Al-Gahtani, G.S. Hubona and J. Wang, “Information Technology in Saudi Arabia: Culture and the Acceptance and Use of IT,” Information and Management 44, pp.681-691, 2007   DOI   ScienceOn
23 장길수, “인터넷전화의 기술 및 산업 동향”, 전자부품연구원, 2005
24 이주영, “해외의 모바일 VoIP 서비스 제공 현황”, 정보통신정책연구원, pp.56-64, 2009
25 Atlas Research and Consulting, “VoIP Phone: Recent Trends Analysis and Forecast Focused on Market, Business Model and Regulation,” 2007
26 D.R. Compeau and C.A. Higgins, “Application of Social Cognitive Theory to Training for Computer Skills,” Information Systems Research 6(2), pp.118-143, 1995   DOI   ScienceOn
27 J. Lin and H. Lu, “Towards an Understanding of the Behavioral Intention to Use a Web Site,” International Journal of Information Management 38, 2000   DOI   ScienceOn
28 I. Im, Y.B. Kim and H.J. Han, “The Effects of Perceived Risk and Technology Type on User's Acceptance of Technologies,” Information and Management 45, pp.1-9, 2008   DOI   ScienceOn
29 E. C. Gabarino and J. A. Edell, “Cognitive Effort, Affect, and Choice,” Journal of Consumer Research 24, 1997
30 유호선, 김민용, 권오병, “유비쿼터스 컴퓨팅 서비스 수용에 영향을 미치는 요인 연구”, 한국전자거래학회 13(2), pp.117-147, 2008   과학기술학회마을
31 소형기, 손소영, “무선인터넷 서비스 고객만족도 분석을 위한 구조방정식 모형”, 대한산업공학회, 제14권, 제2호, pp.182-189, 2001
32 Monroe, B. Kent and R. Krishnan, “The Effect of Price on Subjective Product Evaluations, Perceived Quality: How Consumers View Stores and Merchandise,” Lexington, MA: Lexington Books, pp.209-232, 1985
33 H.S. Jang, “Technology Acceptance Model with Web Interactivity,” The Journal of MIS research 12(4), 2002
34 V. Venkatesh, M. Morris, G. Davis, F. Davis, “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly 27(3), pp.425-478, 2003   DOI