U.S. consumer m-commerce involvement: Using in-depth interviews to propose an acceptance model of shopping apps-based m-commerce

References

• Arens, W. F., Schaefer, D. H., & Weigold, M. (2008). Essentials of contemporary advertising. New York, NY: McGraw-Hill Irwin.
   Google Scholar
• ASSOCHAM. (2016). E-commerce industry will cross 38-bln mark by 2016. Indian e-commerce set to grow by 67% in 2016. Retrieved form http://www.assocham.org/newsdetail. php?id=5427
   Google Scholar
• Birt, L., Scott, S., Cavers, D., Campbell, C., & Walter, F. (2016). Member checking: A tool to enhance trustworthiness or merely a nod to validation. Qualitative Health Research, 26(13), 1802–1811.
   PubMed Web of Science ®Google Scholar
• Chang, C. C., Lin, L. C., & Chi, Y. L. (2015). Secure electronic coupons. In Information Security (AsiaICIS), 2015 10th Asia Joint Conference (pp. 104–109). Kaohsiung, Taiwan: IEEE. Retrieved from https://ieeexplore.ieee.org/document/7153943/citations?tabFilter=papers#citations
   Google Scholar
• Coursaris, C., & Hassanein, K. (2003). M-commerce in Canada: An interaction framework for wireless privacy. Canadian Journal of Administrative Sciences, 20(1), 54–18. doi:10.1111/j.1936-4490.2003.tb00305.x
   Web of Science ®Google Scholar
• Cox, J. (2009). Mobile browsers do security no favors. Network World, 26(10), 1–32.
   Google Scholar
• Creswell, J. W. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340. doi:10.2307/249008
   Web of Science ®Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1004. doi:10.1287/mnsc.35.8.982
   Web of Science ®Google Scholar
• eMarketer. (2010). What shoppers want from retail Apps. Retrieved from http://www.emarketer.com/Article.aspx?R=1008110
   Google Scholar
• Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12, 41–48. doi:10.1057/palgrave.ejis.3000445
   Web of Science ®Google Scholar
• Hinarejos, F. M., Isern-Deya, A.-P., Ferrer-Gomila, J.-L., & Huguet-Rotger, L. (2019). Deployment and performance evaluation of mobile multicoupon solutions. International Journal of Information Security, 18, 101–124. doi:10.1007/s10207-018-0404-6
   Web of Science ®Google Scholar
• Jih, W. K., & Lee, S. (2003-2004). An exploratory analysis of relationships between cellular phone uses’ shopping motivators and lifestyle indicators. Journal of Computer Information Systems, 44(2), 65–72.
   Web of Science ®Google Scholar
• Kao, D. T. (2009). The impact of transaction trust on consumers’ intentions to adopt m-commerce: A cross-cultural investigation. CyberPsychology & Behavior, 18, 1–4.
   Google Scholar
• Khalifa, M., & Shen, N. (2008). Drivers for transactional B2C m-commerce adoption: Extended theory of planned behavior. Journal of Computer Information Systems, 48(3), 111–117.
   Web of Science ®Google Scholar
• Khansa, L., Zobel, C. W., & Goicochea, G. (2012). Creating a taxonomy for mobile commerce innovations using social network and cluster analyses. International Journal of Electronic Commerce, 16(4), 19–52. doi:10.2753/JEC1086-4415160402
   Web of Science ®Google Scholar
• Kim, J., Lee, I., & Lee. (2004). Exploring e-business implications of the mobile Internet: A cross-national survey in Hong Kong, Japan and Korea. International Journal of Mobile Communication, 2, 1–21. doi:10.1504/IJMC.2004.004484
   Google Scholar
• Ko, E., Kim, E., & Lee, E. (2009). Modeling consumer adoption of mobile shopping for fashion products in Korea. Psychology & Marketing, 26, 669–687. doi:10.1002/mar.v26:7
   Web of Science ®Google Scholar
• Kulviwat, S., Bruner, G. C., Kumar, A., Nasco, S. A., & Clark, T. (2007). Toward a unified theory of consumer acceptance technology. Psychology & Marketing, 24(12), 1059–1084. doi:10.1002/(ISSN)1520-6793
   Web of Science ®Google Scholar
• Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., & Choudhury, T. (2010). A survey of mobile phone sensing. IEEE Communications Magazine, 48, 140–150. doi:10.1109/MCOM.2010.5560598
   Google Scholar
• Lee, E., Lee, J., & Eastwood, D. (2003). A two-step estimation of consumer adoption of technology-based service innovations. The Journal of Consumer Affairs, 37, 256–282. doi:10.1111/j.1745-6606.2003.tb00453.x
   Web of Science ®Google Scholar
• Leech, B. L. (2002). Asking questions: Techniques for semistructured interviews. Political Science & Politics, 35(4), 665–668. doi:10.1017/S1049096502001129
   Web of Science ®Google Scholar
• Lepp, A, Barkley, J. E, & Karpinski, A. C. (2014). The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Computers in Human Behavior, 31, 343–350. doi: 10.1016/j.chb.2013.10.049
   Web of Science ®Google Scholar
• Lin, J., Wang, B., Wang, N., & Lu, Y. (2014). Understanding the evolution of consumer trust in mobile commerce: A longitudinal study. Information Technology Management, 15, 37–49. doi:10.1007/s10799-013-0172-y
   Web of Science ®Google Scholar
• Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Newbury Park, CA: Sage.
   Google Scholar
• Linnhof, S., & Smith, T. K. (2017). An example of mobile app usage and the user’s life satisfaction. Journal of Strategic Marketing, 25(7), 581–617. doi:10.1080/0965254X.2016.1195857
   Google Scholar
• Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce? Internet Research, 24(2), 134–159. doi:10.1108/IntR-05-2012-0100
   Web of Science ®Google Scholar
• McCracken, G. (1988). The long interview. Newbury Park, CA: Sage Publications.
   Google Scholar
• Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. Cambridge, MA: MIT Press.
   Google Scholar
• Nagi, E., & Gunasekaran, A. (2007). A review for mobile commerce research and applications. Decision Support Systems, 43, 3–15. doi:10.1016/j.dss.2005.05.003
   Web of Science ®Google Scholar
• Nielsen. (2015, September 13). Mobile shoppers turn app-happy. Retrieved from http://www.nielsen.com/in/en/insights/reports/2015/mobile-shoppers-turn-app-happy.html
   Google Scholar
• Olmstead, K., & Atkinson, M. (2015). The majority of smartphone owners download apps. Pew Research Center. Retrieved from www.pewinternet.org/2015/11/10/the -majority-of-smartphone-owners-download-apps/
   Google Scholar
• Oracle. (2011). Mobile trends: Consumer views of mobile shopping and mobile service providers. Retrieved from http://www.oracle.com/us/industries/communications/oracle-atg-mobile-wp-345770.pdf
   Google Scholar
• Patton, M. Q. (1990). Qualitative evaluation and research methods. Newbury Park, CA: Sage Publications.
   Google Scholar
• Pew Research Center. (2018). Mobile fact sheet. Pew Research Center. Retrieved from www.pewinternet.org/fact-sheet/mobile/
   Google Scholar
• Saunders, B., Slim, J., Kingstone, T., Baker, S., Waterfield, J., Bartlam, B., … Jinks, C. (2017). Saturation in qualitative research: Exploring its conceptualization and operationalization. Quality & Quantity, 52(4), 1983.
   Google Scholar
• Smith, A. (2010). Mobile access 2010. Retrieved from https://www.pewinternet.org/2010/07/07/mobile-access-2010/
   Google Scholar
• Smith, J. (2019). Mobile eCommerce stats in 2018 and the future online shopping trends of mCommerce. OuterBox Designs. Retrieved form https://www.outerboxdesign.com/web-design-articles/mobile-ecommerce-statistics
   Google Scholar
• Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481. doi:10.1111/deci.1996.27.issue-3
   Web of Science ®Google Scholar
• Wei, Toh Tsu, Marthandan, G.,& Ooi, Keng-Boon, & Arumugam, S. (2009). What Drives Malaysian M-commerce Adoption? an Empirical Analysis. Industrial Management & Data Systems, 109(3),370–388. doi:10.1108/02635570910939399
   Google Scholar
• Yang, K., & Forney, J. C. (2013). The moderating role of consumer technology anxiety in mobile shopping adoption: Differential effects of facilitating conditions and social influences. Journal of Electronic Commerce Research, 14(4), 334–347.
   Web of Science ®Google Scholar
• Zhou, L., Dai, L., & Zhang, D. (2007). Online shopping acceptance model: A critical survey of consumer factors in online shopping. Journal of Electronic Commerce Research, 8(1), 41–62.
   Google Scholar