|
1.Achelis, S. (2013). Technical Analysis from A to Z, 2nd Edition (2 edition). McGraw-Hill Education: McGraw-Hill Education. 2.Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information & Management, 44(8), 681–691. 3.Alkhunaizan, A., & Love, S. (2013). Effect of Demography on Mobile Commerce Frequency of Actual Use in Saudi Arabia. In Á. Rocha, A. M. Correia, T. Wilson, & K. A. Stroetmann (Eds.), Advances in Information Systems and Technologies (pp. 125–131). Springer Berlin Heidelberg. 4.Andrews, F. M. (1991). Measures of Personality and Social Psychological Attitudes. Gulf Professional Publishing. 5.Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and Test of a Theory of Technological Learning and Usage. Human Relations, 45(7), 659–686. Bagozzi, R. P., & Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16(1), 74–94. 6.Benmoussa, C. (2000). Workers on the Move: New Opportunities Through Mobile Commerce. 7.Bond, M. H., Leung, K., Au, A., Tong, K.-K., Carrasquel, S. R. de, Murakami, F., Lewis, J. R. (2004). Culture-Level Dimensions of Social Axioms and Their Correlates across 41 Cultures. Journal of Cross-Cultural Psychology, 35(5), 548–570. 8.Carlsson, C., & Walden, P. (2002). Further Quests for Value Added Products and Services in Mobile Commerce. ECIS 2002 Proceedings. 9.Carter, L., & Weerakkody, V. (2008). E-government adoption: A cultural comparison. Information Systems Frontiers, 10(4), 473–482. 10.Chen, L., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705–719. 11.Chong, A. Y.-L. (2013). A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption. Expert Systems with Applications, 40(4), 1240–1247. 12.Chong, A. Y.-L., Chan, F. T. S., & Ooi, K.-B. (2012). Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia. Decision Support Systems, 53(1), 34–43. 13.Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. 14. Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. 15.Dai, H., & Palvi, P. C. (2009). Mobile commerce adoption in China and the United States: a cross-cultural study. ACM SIGMIS Database, 40(4), 43–61. 16.Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. 17.DL Day. (2006). Cultural Aspects of User Interface Acceptance. In International Encyclopedia of Ergonomics and Human Factors, Second Edition - 3 Volume Set (Vols. 1–0). CRC Press. 18.Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: an introduction to theory and research. Reading, Mass.: Addison-Wesley Pub. Co.
19.Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. 20.Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Q., 27(1), 51–90. 21.Global Mobile Commerce Forum. (1997). Retrieved January 26, 2015, from http://cryptome.org/jya/glomob.htm 22.Gu, J.-C., Lee, S.-C., & Suh, Y.-H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616. 23.Hinton, P. R., McMurray, I., & Brownlow, C. (2004). SPSS Explained. Routledge. 24.Hofstede, G. (1984). Cultural dimensions in management and planning. Asia Pacific Journal of Management, 1(2), 81–99. 25.Hofstede’s Cultural Dimensions cross cult comm. (2014). Retrieved June 3, 2015, from https://crosscultcomm.wordpress.com/2014/07/21/hofstedes-cultural-dimensions/
26.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. 27.Kontinen, K. (2001). Mobile Electronic Commerce Challenges for Global Cooperation Keynote Address. ECIS 2001 Proceedings. 28.Lee, H.-J., Lim, H., Jolly, L. D., & Lee, J. (2009). Consumer Lifestyles and Adoption of High-Technology Products: A Case of South Korea. Journal of International Consumer Marketing, 21(2), 153–167. 29.Lee, I. (2004). Cross-cultural Comparison for Cultural Aspects of Mobile Internet: Focusing on Korea and Hong Kong. 30.Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204. 31.Leong, L.-Y., Hew, T.-S., Tan, G. W.-H., & Ooi, K.-B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 40(14), 5604–5620. 32.Liu, C., Marchewka, J. T., Lu, J., & Yu, C.-S. (2005). Beyond concern—a privacy-trust-behavioral intention model of electronic commerce. Information & Management, 42(2), 289–304. 33.Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891. 34.Lundgren, H., & Walczuch, R. (2003). Moderated Trust–The Impact of Power Distance and Uncertainty Avoidance on the Consumer Trust Formation Process in E-Retailing. A Research Agenda for Emerging Electronic Markets, 31.
35.Lyytinen, K. (2001). Mobile Commerce: A New Frontier for E-business. Hawaii International Conference on System Sciences, 9, 9012. 36.Malladi, R., & Agrawal, D. P. (2002). Current and Future Applications of Mobile and Wireless Networks. Commun. ACM, 45(10), 144–146. 37.Marcoulides, G. A. (1998). Modern Methods for Business Research. Psychology Press. 38.Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13. 39.Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An Integrative Model of Organizational Trust. The Academy of Management Review, 20(3), 709–734. 40.Miller, J. B. (2012). Toward a New Psychology of Women. Beacon Press. 41.Mobile Commerce: Report. (1999). Durlacher Research Limited. 42.Natsuno, T. (2003). i-mode Strategy (1 edition). Chichester ; Hoboken, NJ: Wiley. 43.Norhayati Zakaria, J. M. S. (2003). Designing and implementing culturally-sensitive IT applications: The interaction of culture values and privacy issues in the Middle East. IT & People, 16, 49–75. 44.Sadeh, N. (2003). M-Commerce: Technologies, Services, and Business Models. John Wiley & Sons. 45.Sekaran, U., & Bougie, R. (2010). Research Methods for Business: A Skill Building Approach. John Wiley & Sons. 46.Sharma, S., & Gutiérrez, J. A. (2010). An evaluation framework for viable business models for m-commerce in the information technology sector. Electronic Markets, 20(1), 33–52.
47.Tarasewich, P., Nickerson, R. C., & Warkentin, M. (2002). Issues in Mobile E-Commerce. Communications of the Association for Information Systems, 8(1). 48.Taylor, S., & Todd, P. (1995). Assessing IT Usage: The Role of Prior Experience. Management Information Systems Quarterly, 19(4). 49.Tiwari, R., Buse, S., & Herstatt, C. (2006). From Electronic to Mobile Commerce: Opportunities Through Technology Convergence for Business Services (SSRN Scholarly Paper No. ID 1583445). Rochester, NY: Social Science Research Network. 50.Taiwan - Geert Hofstede. (2014). Retrieved June 1, 2015, from http://geert-hofstede.com/taiwan.html
51.Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. 52.Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. Organizational Behavior and Human Decision Processes, 83(1), 33–60. 53. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. 54.Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology (SSRN Scholarly Paper No. ID 2002388). Rochester, NY: Social Science Research Network. 55.Venkatesh, V., & Zhang, X. (2010). Unified Theory of Acceptance and Use of Technology: U.S. Vs. China. Journal of Global Information Technology Management, 13(1), 5–27. 56.Wold, H. (1974). Causal flows with latent variables: Partings of the ways in the light of NIPALS modelling. European Economic Review, 5(1), 67–86. 57.Wold, S., Kettaneh-Wold, N., & Skagerberg, B. (1989). Nonlinear PLS modeling. Chemometrics and Intelligent Laboratory Systems, 7(1–2), 53–65. 58.Yang, K. C. C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and Informatics, (3), 257–277. 59.Yu, C.-S. (2012). Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the Utaut Model. Journal of Electronic Commerce Research, 13(2), 104. 60.Zmud, R. W. (1982). Diffusion of Modern Software Practices: Influence of Centralization and Formalization. Management Science, 28(12), 1421–1431.
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