A meta-analysis of mobile commerce adoption and the moderating effect of culture

Computers in Human Behavior - Tập 28 Số 5 - Trang 1902-1911 - 2012
Liyi Zhang1, Jing Zhu1, Qihua Liu2
1School of Information Management, Wuhan University, Wuhan 430072, PR China
2School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, PR China

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Tài liệu tham khảo

Agarwal, 1998, A conceptual and operational definition of personal innovativeness in the domain of information technology, Information Systems Research, 9, 204, 10.1287/isre.9.2.204

Ajzen, 1991, The theory of planned behavior, Organizational Behavior and Human Decision Processes, 50, 179, 10.1016/0749-5978(91)90020-T

Akturan*, U., & Tezcan, N. (2010). The effects of innovation characteristics on mobile banking adoption. In Tenth global conference on business and economics.

AlHinai, Y. S., Kurnia, S., & Johnston, R. B. (2007). A literature analysis on the adoption of mobile commerce services by individuals. In Proceedings of the 13th Asia pacific management conference (pp. 222–230).

AlHinai, Y. S., Kurnia, S., & Smith, S. P. (2010). The adoption of mobile commerce services by individuals: A Current State of the Literature. In Pacific Asia conference on information systems proceedings (p. 72).

Amin*, 2008, Factors affecting the intentions of customers in Malaysia to use mobile phone credit cards, Management Research News, 31, 493, 10.1108/01409170810876062

Bandura, 1977, Self-efficacy: Toward a unifying theory of behavioral change, Psychological Review, 84

Bauer*, 2005, Driving consumer acceptance of mobile marketing: A theoretical framework and empirical study, Journal of Electronic Commerce Research, 6, 181

Bigne*, 2007, Key drivers of mobile commerce adoption: An exploratory study of Spanish mobile users, Journal of theoretical and applied electronic commerce research, 2, 48, 10.3390/jtaer2020013

Bouwman*, 2007, Barriers and drivers in the adoption of current and future mobile services in Finland, Telematics and Informatics, 45

Bruner*, 2005, Explaining consumer acceptance of handheld Internet devices, Journal of Business Research, 58, 553, 10.1016/j.jbusres.2003.08.002

Chang*, 2008, An empirical investigation of students’ behavioural intentions to use the online learning course websites, British Journal of Educational Technology, 71, 10.1111/j.1467-8535.2007.00742.x

Cheong*, 2005, Mobile internet acceptance in Korea, Internet Research, 15, 125, 10.1108/10662240510590324

Chew*, A. A. (2006). The adoption of M-commerce in the United States. Honors thesis of California State University.

Cho*, 2011, Assessing user attitudes toward mobile commerce in the US vs. Korea: Implications for M-commerce CRM, Journal of Business and Economics Research

Cho*, D. Y., Kwon, H. J., & Lee, H. Y. (2007). Analysis of trust in internet and mobile commerce adoption. In The 40th Hawaii international conference on system science.

Constantiou*, 2009, Does culture affect the adoption of advanced mobile services? A comparative study of young adults’ perceptions in Denmark and the UK, The DATA BASE for Advances in Information Systems, 40, 132, 10.1145/1644953.1644962

Dai*, H., & Palvia, P. (2008). Factors affecting mobile commerce adoption: A cross-cultural study in China and the United States. In Americas conference on, information systems.

Davis, 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technologies, MIS Quarterly, 13, 319, 10.2307/249008

Dickinger*, 2008, Coupons going wireless: Determinants of consumer intentions to redeem mobile coupons, Journal of Interactive Marketing, 2

Fishbein, 1975

Frank, L. (2001). Adoption of mobile services in Finland, Germany and Greece. Lappeenranta University of Technology, Finland.

Gelbrich, 2011, A meta-analysis of organizational complaint handling and customer responses, Journal of Service Research, 14, 24, 10.1177/1094670510387914

Glass, 1976, Primary, secondary, and meta-analysis of research, Review of Research in Education, 10, 351

Hedges, 1985

Hsu, 2011, Investigating customer adoption behaviors in mobile financial services, International Journal of Mobile Communications, 477, 10.1504/IJMC.2011.042455

Hung∗, C. L., Chou, J. C. L., Chung, R.Y., & Dong, T. P. (2010). A cross-cultural study on the mobile commerce acceptance model. In Proceedings of 2010 IEEE international conference on management of innovation and technology (pp. 462–467).

Hung*, 2003, Critical factors of WAP services adoption: An empirical study, Electronic Commerce Research and Applications, 42, 10.1016/S1567-4223(03)00008-5

Hunter, 1990

Igbaria, 1996, A motivational model of microcomputer usage, Journal of Management Information System, 13, 127, 10.1080/07421222.1996.11518115

Islam*, 2010, Adoption of M-commerce services: The case of Bangladesh, World Journal of Management, 2, 37

Jayasingh*, 2010, The role of moderating factors in mobile coupon adoption: An extended TAM perspective, Communications of the IBIMA, 10.5171/2010.596470

Karahanna, 1999, Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS Quarterly, 23, 183, 10.2307/249751

Kargin*, B., & Basoglu, N. (2006). Adoption factors of mobile services. In Proceedings of the international conference on mobile commerce.

Khalifa*, M., & Cheng, S. K. N., 2002. Adoption of mobile commerce. role of exposure. In Proceedings of the 35th Hawaii international conference on system sciences.

Khalifa*, 2008, Explaining the adoption of transactional B2C mobile commerce, Journal of Enterprise Information Management, 2, 110, 10.1108/17410390810851372

Kim*, 2008, Moderating effects of job relevance and experience on mobile wireless technology acceptance: Adoption of a smart phone by individuals’, Information and Management, 45, 387, 10.1016/j.im.2008.05.002

Kim*, 2005, Value-based adoption of mobile internet: An empirical investigation, Decision Support Systems, 113

Kim*, 2010, An empirical examination of factors influencing the intention to use mobile payment, Computers in Human Behavior, 310, 10.1016/j.chb.2009.10.013

Kim*, 2008, A model of traveller acceptance of mobile technology, International Journal of Tourism Research, 393, 10.1002/jtr.669

King, 2005, Understanding the role and methods of meta-analysis in IS research, Communications of the Association for Information Systems, 16

Kirca, 2005, Market orientation: A meta-analytic review and assessment of its antecedents and impact on performance, Journal of Marketing, 69, 24, 10.1509/jmkg.69.2.24.60761

Kirca, 2010, The Use of meta-analysis in international business research: Its current status and suggestions for better practice, International Business Review, 10.1016/j.ibusrev.2010.01.001

Kleijnen*, 2003, Consumer acceptance of wireless finance, Journal of Financial Services Marketing, 8, 206, 10.1057/palgrave.fsm.4770120

Ko*, 2009, Modeling consumer adoption of mobile shopping for fashion products in Korea, Psychology and Marketing, 26, 669, 10.1002/mar.20294

Kurnia*, 2007, Consumers’ perception of mobile internet in Australia, E-Business Review, 7, 41

Lee*, 2005, The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce, Journal of Electronic Commerce Research, 6, 165

Lee*, Y. H. (2008). Exploring factors affecting mobile commerce adoption in the US, Korea and China: The tests of theories, models and cultural differences. Honors Thesis of University of South California.

Lee*, T., & Jun, J. (2007). Contextual perceived usefulness? Toward an understanding of mobile commerce acceptance. In Proceedings of the international conference on mobile business.

Li*, Y., & Zhang, C. (2010). Customer’s adoption decision analysis of mobile banking service. In International conference on management and service science.

Li*, 2007, Evaluating factors affecting the adoption of mobile commerce in agriculture: An empirical study, New Zealand Journal of Agricultural Research, 50, 1213, 10.1080/00288230709510404

Liao*, 2007, Factors influencing the usage of 3G mobile services in Taiwan, Online Information Review, 31, 759, 10.1108/14684520710841757

Lin*, 2010, An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust, International Journal of Information Management

Lipsey, 2001, Practical meta-analysis, Applied Social Research Methods Series

Liu*, 2009, An empirical research on the determinants of user M-commerce acceptance, software engineering, artificial intelligence, Networking and Parallel/Distributed Computing, 93

Lopez-Nicolas*, 2008, An assessment of advanced mobile services acceptance. Contributions from TAM and diffusion theory models, Information and Management, 45, 359, 10.1016/j.im.2008.05.001

Lu*, 2003, Exploring factors associated with wireless internet via mobile technology acceptance in mainland China, Communications of the International Information Management Association, 3, 101

Lu*, 2005, Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology, The Journal of Strategic Information Systems, 14, 245, 10.1016/j.jsis.2005.07.003

Ma, 2004, The technology acceptance model: A meta-analysis of empirical findings, End User Computing, 16, 59, 10.4018/joeuc.2004010104

Mallat*, 2009, The impact of use context on mobile services acceptance. The case of mobile ticketing, Information and Management, 46, 190, 10.1016/j.im.2008.11.008

Min*, Q., Li, Y., & Ji, S. (2009). The effects of individual level culture on mobile commerce adoption: An empirical study. In The 8th international conference on mobile, business.

Min, 2008, A meta-analysis of mobile commerce research in China (2002–2006), International Journal of Mobile Communications, 6, 390, 10.1504/IJMC.2008.017518

Orwin, 1983, A fail-safe N for effect size in meta-analysis, Journal of Educational Statistics, 157, 10.2307/1164923

Pavlou*, P. A., Lie, T., & Dimoka, A. 2007. What drives mobile commerce? An antecedent model of mobile commerce adoption. In 6th Annual global mobility roundtable.

Pedersson*, P. E., & Heinonen, K. (2002). Acceptance of mobile services: Insights from the Swedish market for mobile telephony. SSE/EFI working paper series in Business Administration (Vol. 16).

Porter*, 2006, Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics, Journal of Business Research, 59, 999, 10.1016/j.jbusres.2006.06.003

Rogers, 1995

Rosenthal, 1979, The ‘file-drawer problem’ and tolerance for null results, Psychological Bulletin, 86, 638, 10.1037/0033-2909.86.3.638

Rosenthal, 1991

Schepers, 2007, A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects, Information and Management, 44, 90, 10.1016/j.im.2006.10.007

Shin*, 2009, Towards an understanding of the consumer acceptance of mobile wallet, Computers in Human Behavior, 25, 1343, 10.1016/j.chb.2009.06.001

Sun*, Q., Wang, C., & Cao, H. (2009). An extended TAM for analyzing adoption behavior of mobile commerce. In The eighth international conference on mobile business.

Taylor, 1995, Understanding information technology usage: A test of competing models, Information Systems Research, 6, 144, 10.1287/isre.6.2.144

Theodora*, Z., & Vaggelis, S. (2010). Predicting the Adoption of Mobile Transactions: An exploratory Investigation in Greece. In 2010 9th international conference on mobile business/2010 ninth global mobility roundtable (pp. 141–147).

Turel*, 2007, User acceptance of wireless short messaging services: Deconstructing perceived value, Information and Management, 63, 10.1016/j.im.2006.10.005

Venkatesh, 2000, A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Science, 46, 186, 10.1287/mnsc.46.2.186.11926

Wang*, 2006, Predicting consumer intention to use mobile service, Information Systems Journal, 16, 157, 10.1111/j.1365-2575.2006.00213.x

Wei*, 2009, What drives Malaysian m-commerce adoption? An empirical analysis, Industrial Management and Data Systems, 370

Wolf, 1986

Wu, 2009, A meta-analysis of the role of environment-based voluntariness in information technology acceptance, MIS Quarterly, 33, 419, 10.2307/20650298

Wu*, 2005, What drives mobile commerce. An empirical evaluation of the revised technology acceptance model, Information and Management, 42, 719

Yang*, 2005, Exploring factors affecting the adoption of mobile commerce in Singapore, Telematics and Informatics, 22, 257, 10.1016/j.tele.2004.11.003

Yen*, 2010, Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM, Computers in Human Behavior, 26, 906, 10.1016/j.chb.2010.02.005

Yousafzai, 2007, Technology acceptance: A meta-analysis of the TAM: Part 1, Journal of Modelling in Management, 2, 251, 10.1108/17465660710834453

Yousafzai, 2007, Technology acceptance: A meta-analysis of the TAM: Part 2, Journal of Modelling in Management, 2, 281, 10.1108/17465660710834462

Zhang, 2011, A review for ubiquitous commerce research and application (2000–2009), International Journal of Mobile Communications, 9, 39, 10.1504/IJMC.2011.037954