MOBILE APPLICATION ACCEPTANCE MODEL: A SCALE DEVELOPMENT STUDY

Year 2016, , 97 - 126, 31.12.2016

Naciye Güliz Uğur , Aykut Hamit Turan

https://doi.org/10.17065/huniibf.310526

Cited By: 13

Abstract

Since 1970s, the development
and changes in technology have influenced social structures, and the information
and communication technologies have become indispensable to society. When the
socio-psychological factors behind the adoption of these tools are emerged, one
will be able to develop favorable technological inventions, in a form which
will be accepted rapidly by community. In this context, determining the reasons
behind the rapid penetration of information and communication technologies in
society is an important research area for scientists as well as practitioners.

This study examines the
diffusion paradigm in the case of mobile applications, which has a major share
in change of today’s societies’ lives and communication habits, through the
research data obtained from 1654 college students. In the research, variables
from Technology Acceptance Model, Uses and Gratifications Theory and Theory of
Planned Behavior are included in Mobile Application Acceptance Model.
Consequently, a reliable and valid mobile application acceptance scale, which
is based on the Mobile Application Acceptance Model, is developed.

Keywords

Mobile application, technology acceptance, Technology Acceptance Model, mobile application scale, scale development and refinement

MOBİL UYGULAMA KABUL MODELİ: BİR ÖLÇEK GELİŞTİRME ÇALIŞMASI

Abstract

1970’li
yıllardan itibaren teknolojinin beraberinde getirdiği gelişim ve değişim
toplumsal yapıları etkilemiş, bununla birlikte bilgi ve iletişim teknolojileri,
toplumun ve bireyin vazgeçilmezi haline gelmiştir. Toplumun bu araçları
benimsemesinin arkasında yatan sosyo-psikolojik faktörler ortaya
çıkartıldığında, yaşam biçimlerine yön verecek teknolojik icatların toplum
tarafından daha hızlı kabul görecek bir formda geliştirilmesi de mümkün
olacaktır. Bu süreçte bilgi ve iletişim teknolojilerinin topluma hızlı
nüfuzunun arkasında yatan sebepler bilim insanları ve uygulamacılar için önemi
gün geçtikçe artan bir araştırma konusu olmuştur. Bu çalışma, yayılım
paradigmasını (diffusion paradigm) günümüz toplumlarının yaşam ve iletişim
alışkanlıklarının değişiminde büyük paya sahip olan mobil uygulamalar
çerçevesinde, 1654 üniversite öğrencisi katılımcıdan elde edilen veriler
değerlendirmektedir. Bu araştırmada geliştirilen Mobil Uygulama Kabul
Modelinde, Kullanımlar ve Doyumlar Yaklaşımı, Planlı Davranış Teorisi ve
Teknoloji Kabul Modelinde kullanılan değişkenler entegre edilmiştir. Çalışmanın
neticesinde Mobil Uygulama Kabul Modelini temel alan geçerliği ve güvenirliği
yüksek bir mobil uygulama kabul ölçeği geliştirilmiştir.

Keywords

Mobil uygulama, teknoloji kabul, Teknoloji Kabul Modeli mobil uygulama ölçeği, ölçek geliştirme

References

• Aaker, D.A., V. Kumar, G.S. Day (2004), Marketing Research. John Wiley & Sons Inc.
• Agarwal, R., J. Prasad (1997), The Role of Innovation Characteristics and Perceived Voluntariness in The Acceptance of Information Technology, Decision Sciences, 28, 557-582.
• Ajzen, I. (1991), Theory of Planned Behavior. Organizational Behavior And Human Decision Processes, 179-211.
• Ajzen, I. (2002), Constructing a TPB Questionaire: Conceptual and Methodological Considerations, Mart 23, 2015 tarihinde http://chuang.epage.au.edu.tw/ezfiles/168/1168/attach/20/pta_41176_7688352_57138.pdf
• Al-Faresi, S., N. Patel (2012), The Design of an Adoption and Acceptance Framework for Mobile Digital Library Services, International Conference on Information Society, 216-2246.
• Althunibat, A., N.A. Zain, N. Sahari (2011), Modelling the Factors that Influence Mobile Government Services Acceptance. African Journal of Business Management, 5(34), 13030-13043.
• Altunışık, R., R. Coşkun, S. Bayraktaroğlu, E. Yıldırım (2005), Sosyal Bilimlerde Araştırma Yöntemleri: SPSS Uygulamalı. Sakarya: Sakarya Kitabevi.
• Alwahaishi, S., V. Snasel (2013), Modeling the Determinants Influencing the Diffusion of Mobile Internet. Journal of Physics: Conference Series, 1(8), 423.
• Biljon, J., P. Kotze (2007), Modelling the Factors That Influence Mobile Phone Adoption. ACM, 152-161.
• Balcı, A. (2001), Sosyal Bilimlerde Araştırma: Yöntem, Teknik ve İlkeler. Ankara: Pegem A Yayıncılık.
• Bryant, J., R.L. Heath (2000), Human Communication Theory and Research: Concepts, Contexts and Challenges. London: Erlbaum Associates Publishers.
• Brown, S., V. Venkatesh (2005), Model of Adoption of Technology in Households: a Baseline Model Test and Extension Incorporating Household Life Cycle. MIS Quarterly, 29(3), 399-426.
• Bumgarner, B.A. (2007), You Have Been Poked: Exploring the Uses and Gratifications of Facebook Among Emerging Adults. Nisan 19, 2015 tarihinde First Monday: http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/ article/viewArticle/2026/1897
• Campbell, S.W. (2006), Perceptions of Mobile Phones in College Classrooms: Ringing, Cheating, and Classroom Policies. Communication Education, 55(3), 280-294.
• Campbell, S.W. (2007a), A Cross-Cultural Comparison of Perceptions and Uses of Mobile Telephony. New Media and Society, 9(2), 343-363.
• Campbell, S. (2007b), Perceptions of Mobile Phone use in Public Settings: A Cross- Cultural Comparison. International Journal of Communication, 1(1), 738-757.
• Campbell, S.W., M.J. Kelley (2006), Mobile Phone Use in AA Networks: An Exploratory Study. Journal of Applied Communication Research, 34(2), 191-208.
• Carlsson, C., J. Carlsson, K. Hyvönen, J. Puhakainen, P. Walden (2006), Adoption of Mobile Devices/Services - Searching for Answers with the Utaut. Proceedings of the 39th Hawaii International Conference on System Sciences, (1-10), Hawaii.
• Cengiz, D., B. Kılınç (2007), Faktör Analizi ile 2006 Dünya Kupasına Katılan Takımların Sıralarının Belirlenmesi. Marmara Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 23, 351-370.
• Chen, G.M. (2011), Tweet This: A Uses and Gratifications Perspective on How Active Twitter Use Gratifies a Need to Connect with Others. Computers in Human Behavior, 27, 755-762.
• Chen, Y.F., J.E. Katz (2009), Extebding Family to School Life: College Students' Use of the Mobile Phone. International Journal of Human-Computer Studies, 67(2), 179-191.
• Cheong, J.H., M. Park (2005), Mobile Internet Acceptance in Korea. Internet Research, 15(2), 125-140.
• Chin, W.W., A. Gopal (1993), An Examination of the Relative Ġmportance of Four Belief Constructs on the GSS Adoption Decision: A Comparison of Four Methods. Proceedings of the Twenty-Sixth Hawaii International Conference on System Sciences, (548-557), Hawaii.
• Chin, W.W., P.A. Todd (1995), On the use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research: A Note of Caution. MIS Quarterly, 19(2), 237-246.
• Churchill, G.A. (1979), A Paradigm for Developing Better Measures of Marketing Constructs. Journal of Marketing Research, 16(1), 64-73.
• Churchill, G.A. (1995), Marketing Research: Methodological Foundations. The Dreyden Press.
• Churchill, G.A. (1999), Marketing Research Methodoligcal Foundations. Florida: The Dreyden Press.
• Compeau, D.R., C.A. Higgins (1995), Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189-211.
• Comrey, A.L., H.B. Lee (1992), A First Course in Factor Analysis. Hillsdale: Erlbaum.
• Çakmak, T., H. Yalçın (2013), Üniversite Öğrencilerinin Mobil Teknoloji Kullanımı: Hacettepe Üniversitesi Bilgi ve Belge Yönetimi Bölümü Örneği. Hacettepe Üniversitesi Türkiyat Araştırmaları Dergisi, 47-60.
• Dai, H., P. Palvi (2009), Mobile Commerce Adoption in China and the United States: A Cross-Cultural Study. ACM SIGMIS Database, 40, 43-61.
• Davis, F.D. (1986), A Technology Acceptance Model for Empirically Teting New End-user Information Systems: Theory and Results. Yayımlanmamış Doktora Tezi, Massachusetts Institute of Technology, Cambridge.
• Davis, F.D. (1987a), New Measures for Three User Acceptance Constructs: Attitude Toward Using, Perceived Usefulness and Perceived Ease of Use. Working Paper No: 528, University of Michigan, Ann Arbor.
• Davis, F.D. (1987b), User Acceptance of Information Systems: The Technology Acceptance Model. Working Paper No: 529, University of Michigan, Ann Arbor.
• 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. (1993), User Acceptance of Information Technology: System Characteristics, User Perceptions, and Behavioral Impacts. International Journal of Man Machine Studies, 38, 475-487.
• Davis, F., R. Bagozzi, P. Warshaw (1989), User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 37(8), 982-1002.
• Davis, F.D., V. Venkatesh (1996), A Critical Assessment of Potential Measurement Biases in the Technology Acceptance Model: Three Experiments. International Journal of Human-Computer Studies, 45(1), 19-45.
• De Marez, L., P. Vyncke, K. Berte, D. Schuurman, K. DeMoor (2007), Adopter Segments, Adoption Determinants and Mobile Marketing. Journal of Targeting, Measurement and Analysis for Marketing, 16(1), 78-95.
• DeVellis, R.F. (2003), Scale Development: Theory and Applications. Newbury Park: Sage.
• Eze, U., Gan, G., Ademu, J., S. Tella (2008), Modelin User Trust and Mobile Payment Adoption: Conceptual Framework. Communication of The IBIMA, 3, 224-230.
• Fieu, Y.S., K.M. Nor, Z. Zakaria, L.M. Moga (2010), Adoption of E- Government in Malaysia. Proceedings of International Conference on Business and Information.
• Fishbein, M., I. Ajzen (1975), Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Massachusetts: Addison-Wesley.
• Foregger, S.K. (2008), Uses and Gratifications of Facebook.Com. Yayımlanmamış Doktora Tezi, Michigan State University: Michigan.
• Gao, S., J. Krogstie, P. Gransaether (2008), Mobile Services Acceptance Model. IEEE, 446-453.
• Gao, S., J. Krogstie, K. Siau (2011), Developing an Instrument to Measure the Adoption of Mobile Services. Mobile Information Systems, 7, 45-67.
• Hair, J.F., R.E. Anderson, R. Tatham, W.C. Black (1998), Multivariate Data Analysis with Readings. New York: Macmillan.
• Hair, J.F., W.C. Black, B.J. Babin, R.E. Anderson (2010), Multivariate Data Analysis (7. Baskı), New Jersey: Prentice Hall.
• Harrington, D. (2009), Confirmatory Factor Analysis. New York: Oxford University Press.
• Holak, S.L., D.R. Lehmann (1990), Purchase Intentions and the Dimensions of Innovation: An Exploratory Model. Journal of Product Innovation Management, 7(1), 59-73.
• Hong, S.J., K.Y. Tam (2006), Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services. Information Systems Research, 17(2), 162-179.
• Hsu, T.H., Y.S. Wang, S.C. Wen (2006), Using the Decomposed Theory of Planning Behavioural to Analyse Consumer Behavioural Intention Towards Mobile Text Message Coupons. Journal of Targeting, Measurement and Analysis for Marketing, 14(4), 309-324.
• Hui-Yi, H., S. Ling-Yin (2010), Uses and Gratifications of Mobile Application Users. International Conference on Electronics and Information Engineering (315-319), IEEE.
• IAB. (2014), IAB Türkiye İnternet Ölçümleme Araştırması. Nisan 5, 2015 tarihinde http://www.iabturkiye.org/sites/default/files/infografik_eylul1.pdf
• Jayasingh, S., U.C. Eze (2009), Exploring the Factors Affecting the Acceptance of Mobile Coupons in Malaysia. IEEE, 329-334.
• Kağıtçıbaşı, Ç. (1999), Yeni İnsan ve İnsanlar. İstanbul: Evrim Yayınları.
• Kalaycı, Ş. (2005), SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri (1. Baskı), Ankara: Asil.
• Kao, D.T. (2009), The Impact of Transaction Trust on Consumers' Intentions to Adopt M-commerce: A Cross-Cultural Investigation. CyberPsychology & Behavior, 12(2), 225-229.
• Karahanna, E., D.W. Straub (1999), The Psychological Origins of Perceived Usefulness and Ease-of-Use. Information and Management, 35, 237-250.
• Kargın, B., N. Başoğlu (2007), Factors Affecting the Adoption of Mobile Services. PICMET 2007 Proceedings, (2993-3001), Oregon: PICMET.
• Katz, E. (1959), Mass Communication Research and The Study of Popular Culture: An editorial note on a possible future for this journal. Studies in Public Communication, 2, 1-6.
• Katz, J., P. Aspden (1998), Theory, Data and Potential Impacts of Mobile Communications: A Longitudinal Analysis of US National Surveys. Technological Forecasting and Change, 57, 133-157.
• Katz, E., J.G. Blumler, M. Gurevitch (1974), Uses and Gratifications Research. Public Opinion Quarterly, 37(4), 509-523.
• Klapper, J.T. (1963), Mass Communication Research: An Old Road Resurveyed. Public Opinion Quarterly, 27, 515-527.
• Kline, R.B. (1998), Principles and Practice of Structural Equation Modeling. NewYork: Guilford Press.
• Koç, T., A.H. Turan (2014), Mobil SABİS Kabul ve Kullanımı: Sakarya Üniversitesinde Ampirik Bir Değerlendirme. Bilgi Ekonomisi ve Yönetim Dergisi, 9(2), 163-175.
• Koçak, A. (2001), Televizyon İzleyici Davranışları; Televizyon İzleyicilerinin Tercihleri ve Doyumları Üzerine Teorik ve Uygulamalı Bir Çalışma. Yayımlanmamış Doktora Tezi, Selçuk Ünversitesi, Konya.
• Kurtuluş, K. (2006), Pazarlama Araştırmaları. İstanbul.
• Lee, M.K., C.M. Cheung, Z. Chen (2005), Acceptance of Internet-Based Medium: The Role of Extrinsic and Intrinsic Motivation. Information and Management, 1095-1104.
• Lee, W.J., T.U. Kim, J.Y. Chung (2002), User Acceptance of the Mobile Internet. Proceedings of The First International Conference on Mobile Business. Athens: Mobilforum.
• Lin, C. (1999), Online Service Adoption Likelihood. Journal of Advertising Research, 39, 79-89.
• Lopez-Nicolas, C., F.J. Molina-Castillo, H. Bouwman (2008), An Assessment of Advanced Mobile Services Acceptance: Contributions from TAM and Diffusion Theory Models. Information & Management, 45(6), 359-364.
• Lu, J., C.S. Yu, C. Liu, J.E. Yao (2003a), Technology Acceptance Model for Wireless Internet. Internet Research: Electronic Network Application Policy, 13, 206-222.
• Lu, J., C. Liu, C.S. Yu, J.E. Yao (2003b), Exploring Factors Associated with Wireless Internet Via Mobile Technology Acceptance in Mainland China. Communications of the International Information Management Association, 3, 101-120.
• Lu, J., J.E. Yao, C.S. Yu (2005), Personal Innovativeness, Social Influences and Adoption of Wireless Internet Services Via Mobile Technology. The Journal of Strategic Information Systems, 14, 245-268.
• Lu, Y., Z. Deng, B. Wang (2010), Exploring Factors Affecting Chinese Consumers’ Usage of Short Message Service for Personal Communication. Information Systems Journal, 20(2), 183-208.
• Madden, T.J., P.S. Ellen, I. Ajzen (1992), A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action. Personality and Social Psychology Bulletin, 18(1),
• Malhotra, Y., D.F. Galletta (1999), Extending the Technology Acceptance Model to Account for Socialinfluence: Theoretical Bases and Empirical Validation. Proceedings of The 32th ICSS.
• Marcoux, J.S., P. Filiatrault, E. Cheron (1997), The Attitudes Underlying Preferences of Young Urban Educated Polish Consumers Towards Products Made in Western Countries. Journal of International Consumer Marketing, 9(4), 5-29.
• McGuire, W.J. (1974), Psychological Motives and Communication Gratification. J. Blumler, E. Katz içinde, The Uses of Mass Communications: Current Perspectives on Gratifications Research (s. 167-196), California: Sage.
• Mobilike (2014), Madreport Q2 2014. Nisan 8, 2015 tarihinde http://media.mobworkz.com/adserver/madreport/Q2_2014_v1_sp.pdf
• Mohamedpour, M., Z.M. Faal, M. Fasanghari (2009), A Proposed Framework for Effective Mobile Services Acceptance Factors. IEEE, 250-255.
• Moore, G.C., I. Benbasat (1991), Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2, 192-222.
• Moore, G.C., I. Benbasat (1996), Integrating Diffusion of Innovations and Theory of Reasoned Action Models to Predict Utilization of Information Technology by End-Users. K. Kautz, J. Pries Hege içinde, Diffusion and Adoption of Information Technology (s. 132-146), London: Chapman and Hall.
• Nakip, M. (2003), Pazarlama Araştırmaları: Teknikler ve (SPSS Destekli) Uygulamalar. Ankara: Seçkin Yayıncılık. Ngai, E.W., J.K. Poon, Y.H. Chan (2007), Empirical Examination of the Adoption of WebCt Using TAM. Computers and Education, 48(2), 250-267.
• Nor, K.M. (2005), An Emprical Study of Internet Banking Acceptance in Malaysia: An Extended Decomposed Theory of Planned Behavior. Yayımlanmamış Doktora Tezi, Southern Illinois University: Carbondale.
• Nunnally, J.C. (1967), Psychometric Theory. McGraw-Hill Inc.
• O‘Cass, A., H. McEwen (2004), Exploring Consumer Status and Conspicuous Consumption. Journal of Consumer Behaviour, 4(1), 25-39.
• Özdamar, K. (2004), Paket Programlar ile Ġstatistiksel Veri Analizi. Eskiişehir: Kaan Kitabevi.
• Özmen, A. (2000), Uygulamalı Araştırmalarda Örnekleme Yöntemleri. Eskişehir: Anadolu Üniversitesi.
• Parasuraman, A., C.L. Colby (2001), Techno-Ready Marketing: How and Why Your Customers Adopt Technology. The Free Press.
• Park, J.K., S.J. Yang (2006), The Moderating Role of Consumer Trust and Experiences: Value Driven Usage of Mobile Technology. International Journal of Mobile Marketing, 1(2), 24-32.
• Park, J.K., S.J. Yang, X. Lehto (2007), Adoption of Mobile Technologies for Chinese Consumers. Journal of Electronic Commerce Research, 8(3), 196-206.
• Parveen, F., A. Sulaiman (2008), Technology Complexity, Personal Innovativeness and Intention to Use Wireless Internet Using Mobile Devices in Malaysia. International Business Review, 4, 1-10.
• Quan, S., C. Hao, Y. Jianxin (2009), Consumer Acceptance of Mobile Services toward a Integrated View. IEEE, 266-270.
• Raacke, J., J. Bonds-Raacke (2008), MySpace and Facebook: Applying the Uses and Gratifications Theory to Exploring Friend-Networking Sites, CyberPsychology & Behavior, 11(2), 169-174.
• Rice, R.E., J.E. Katz (2003), Comparing Internat and Mobile Phone Usage: Digital Divides of Udage, Adoption and Dropouts. Telecommunications Policy, 27, 597-623.
• Rosenbaum, H., B. Kleber (2004), A Socio-Technical Analysis of M-Commerce in Japan: Research in Progress. AMCIS Proceedings, 334.
• Rosengren, K.E. (1974), Uses and Gratifications: A Paradigm Outlined. J.G. Blumler, & E. Katz içinde, The Uses of Mass Communications: Current Perspectives on Gratifications Research (269-286), California: Sage.
• Rubin, A. M. (1985), Uses and Gratifications: Quasi-functional Analysis. J. Dominick, J. Fletcher içinde, Broadcasting Research Methods (s. 202-220), Boston: Allyn and Bacon.
• Ruggiero, T. E. (2000), Uses and Gratifications Theory in The 21st Century. Mass Communication & Society, 3(1), 3-37.
• Schierz, P.G., O. Schilke, B.W. Wirtz (2010), Understanding Consumer Acceptance of Mobile Payment Services: An Empirical Analysis. Electronic Commerce Research and Applications, 9(3), 209-216.
• Shin, D.H. (2009), Towards an Understanding of the Consumer Acceptance of Mobile Wallet. Computers in Human Behavior, 25(6), 1343-1354.
• Smith, P.K., J. Mahdavi, M. Carvalho, S. Fisher, S. Russell, N. Tippett (2008), Cyberbullying: Its Nature and Impact in Secondary School Pupils. Journal of Child Psychology and Psychiatry, 49(4), 376-385.
• Smock, A.D., N.B. Ellison, C. Lampe, D.Y. Wohn (2011), Facebook as a Toolkit: A Uses and Gratification Approach to Unbundling Feature Use. Computers in Human Behavior Journal, 27, 2322-2329.
• So, S. (2008), A Study on the Acceptance of Mobile Phones for Teaching and Learning with a Group of Pre-service Teachers in Hong Kong. Journal of Educational Technology Development and Exchange, 1(1), 81-92.
• Stafford, T.F., M.R. Stafford, L.L. Schkade (2004), Determining Uses and Gratifications for the Internet. Decision Sciences, 35(2), 259-288.
• Straub, D., M.C. Boudreau, D. Gefen (2004), Validation Guidelines for IS Positivist Research. Communications of the Association for Information Systems, 13, 380-427.
• Sudha, S.D., D.K. Singh, M.K. Singh, S.K. Singh (2010), The Forecasting of 3g Market in India Based on Revised Technology Acceptance Model. International Journal of Next-Generation Networks, 2(2), 61-68.
• Suki, N.M., U.M. Sabah, T. Ramayah (2010), User Acceptance of the E-Government Services in Malaysia: Structural Equation Modelling Approach. Interdisciplinary Journal of Information, Knowledge, and Management, 5, 395-413.
• Tabachnick, B.G., L.S. Fidell (2001), Using Multivariate Statistics. Needham Heights: Allyn & Bacon.
• Taylor, S., P. Todd (1995a), Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 19(4), 561-570.
• Taylor, S., P. Todd (1995b), Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144-176.
• Thornton, P., C. Houser (2004), Using Mobile Phones in Education. Proceedings of the The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE’04) (s. 3-10), Washington: IEEE Computer Society.
• TÜİK (2014), İstatistiklerle Gençlik, 2013. Nisan 5, 2015 tarihinde http://www.tuik.gov.tr/PreHaberBultenleri.do?id=16055
• van Biljon, J., P. Kotze (2007), Modelling the Factors That Influence Mobile Phone Adoption. ACM, 152-161.
• Venkatesh, V. (2000), Determinants of Perceived ease of use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342-365.
• Venkatesh, V., H. Bala (2008), Technology Acceptance Model 3 and a Research Agenda on Interventions. Journal of Information Technology, 39, 273-315.
• Venkatesh, V., F.D. Davis (1996), A Model of The Antecedents of Perceived Ease-of-Use: Development and Test. Decision Sciences, 27(3), 451-481.
• Venkatesh, V., F.D. Davis (2000), A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.
• Venkatesh, V., M.G. Morris, G.B. Davis, F.D. Davis (2003), User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly, 27(3), 425-478.
• Viardot, E. (2004), Successful Marketing Strategy for High-Tech Firms. London: Artech House.
• Vishwanath, A., G.M. Goldhaber (2003), An Examination of the Factors Contributing to Adoption Decisions Among Late-Diffused Technology products. New Media & Society, 5(4), 547-572.
• Wang, W.T., H.M. Li (2012), Factors Influencing Mobile Services Adoption: A Brand‐Equity Perspective. Internet Research, 22(2), 142-179.
• World Youth Report (2003), Chapter 12: Youth and Information and Communication Technologies (ICT), New York: United Nations.
• Xu, Z., Y. Yuan (2007), What is the Influence of Context and Incentive on Mobile Commerce Adoption? A Case study of a GPS-based Taxi Dispatching System. Proceedings of the International Conference on the Management of Mobile Business. IEEE Computer Society.
• Xu, Z., C. Zhang, H. Ling (2008), Examining User Acceptance of Mobile Services. IEEE, 1-4.
• Yang, H. (2013), Bon Appetit For Apps: Young American Consumers' Acceptance of Mobile Applications. Journal of Computer Information Systems, 85-96.
• Yang, K., 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, 502-508.
• Yang, H.D., Y. Yoo (2004), It's all about Attitude: Revisiting the Technology Acceptance Model. Decision Support Systems, 38(1), 19-31.
• Yang, H., L. Zhou (2011), Extending TPB and TAM to Mobile Viral Marketing: An Exploratory Study on American Young Consumers' Mobile Viral Markeeting Attitude, Intent and Behavior. Journal of Targeting, Measurement & Analysis For Marketing, 19(2), 85-98.
• Yang, K. (2010a), Determinants of US Consumer Mobile Shopping Services Adoption: Implications for Designing Mobile Shopping Services. Journal of Consumer Marketing, 27(3), 262-270.
• Yang, K. (2010b), The Effects of Technology Self-Efficacy and Innovativeness on Consumer Mobile Data Service Adoption between American and Korean Consumers. Journal of International Consumer Marketing, 22(2), 117-127.
• Zhou, T. (2008), Exploring Mobile User Acceptance Based on Utaut and Contextual Offering. IEEE, 241-245.
• Zhou, T. (2011), Understanding Mobile Internet Continuance Usage from the Perspectives of UTAUT and Flow. Information Development, 27(3), 207-218.
• Zhou, T., Y. Lu, B. Wang (2010), Integrating TTF and UTAUT to Explain Mobile Banking User Adoption. Computers in Human Behavior Journal, 26, 760-767.