A Test of the Mobile Phone Appropriation Model

References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi:10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Alper, M. (2019). Portables, luggables, and transportables: Historicizing the imagined affordances of mobile computing. Mobile Media & Communication, 7(3), 322–340. doi:10.1177/2050157918813694
   Web of Science ®Google Scholar
• Bayer, J. B., & Campbell, S. W. (2012). Texting while driving on automatic: Considering the frequency-independent side of habit. Computers in Human Behavior, 28(6), 2083–2090. doi:10.1016/j.chb.2012.06.012
   Web of Science ®Google Scholar
• Bayer, J. B., Campbell, S. W., & Ling, R. (2016). Connection cues: Activating the norms and habits of social connectedness. Communication Theory, 26(2), 128–149. doi:10.1111/comt.12090
   Web of Science ®Google Scholar
• Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238
   PubMed Web of Science ®Google Scholar
• Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). New York, NY: Guilford Press.
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. doi:10.2307/249008
   Web of Science ®Google Scholar
• Farman, J. (2018). Delayed response: The art of waiting from the ancient to the instant world. Haven, CT: Yale University Press.
   Google Scholar
• French, M., & Bazarova, N. (2017). Is anybody out there? Understanding masspersonal communication through expectations for response across social media platforms. Journal of Computer-Mediated Communication, 22(6), 303–319. https://doi.org/10.1111/jcc4.12197
   Web of Science ®Google Scholar
• Gibson, J. J. (1979). The ecological approach to visual perception. Boston: Erlbaum.
   Google Scholar
• Goffman, E. (1974). Frame analysis: An essay on the organization of experience. Cambridge, MA: Harvard University Press.
   Google Scholar
• Hall, S. (1980). Encoding/Decoding. In S. Hall, D. Hobson, & A. Lowe (Eds.), Culture, media, language: Working papers in cultural studies, 1972-79 (pp. 128–138). London: Routledge.
   Google Scholar
• Hayes, A. F. (2018). The PROCESS macro for SPSS and SAS. Retrieved from http://www.processmacro.org/
   Google Scholar
• Hjorth, L., Burgess, J., & Richardson, I. (2012). Studying mobile media: Cultural technologies, mobile communication, and the iPhone. New York, NY: Routledge.
   Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• Humphreys, L., Karnowski, V., & von Pape, T. (2018). Smartphones as metamedia: A framework for identifying the niches structuring smartphone use. International Journal of Communication, 12, 2793–2809. https://ijoc.org/index.php/ijoc/article/view/7922
   Web of Science ®Google Scholar
• Jensen, K. B. (2013). What’s mobile in mobile communication? Mobile Media & Communication, 1(1), 26–31. doi:10.1177/2050157912459493
   Web of Science ®Google Scholar
• Jöreskog, K. G. & Sörbom, D. (2015). LISREL 9.20 [Computer software]. Scientific Software International.
   Google Scholar
• Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G. Blumler & E. Katz (Eds.), The uses of mass communications: Current perspectives in gratifications research (pp. 249–268). Beverly Hills, CA: Sage.
   Google Scholar
• Katz, J. E., & Sugiyama, S. (2006). Mobile phones as fashion statements: Evidence from student surveys in the US and Japan. New Media and Society, 8(2), 321–337. https://doi.org/10.1177/1461444806061950
   Web of Science ®Google Scholar
• LaRose, R. (2010). The problem of media habits. Communication Theory, 20(2), 194–222. doi:10.1111/j.1468-2885.2010.01360.x
   Web of Science ®Google Scholar
• Lee, S., von Pape, T., Karnowski, V., & Cionea, I. A. (2016). An English scale for measuring mobile phone appropriation: Translation and assessment. Studies in Communication | Media (SCM), 5(4), 397–426. https://doi.org/10.5771/2192-4007-2016-4-397
   Google Scholar
• Leung, L., & Wei, R. (2000). More than just talk on the move: Uses and gratifications of the cellular phone. Journalism and Mass Media Quarterly, 77(2), 308–320. https://doi.org/10.1177/107769900007700206
   Web of Science ®Google Scholar
• Li, C., Lin, S. H., & Chib, A. (2021). The state of wearable health technologies: A transdisciplinary literature review. Mobile Media & Communication, 9(2), 353–376. doi:10.1177/2050157920966023
   Web of Science ®Google Scholar
• Ling, R. (2012). Taken for grantedness: The embedding of mobile communication into society. Cambridge, MA: MIT Press.
   Google Scholar
• Ling, R., & Yttri, B. (2002). Hyper-coordination via mobile phones in Norway. In J. E. Katz & M. Aakhus (Eds.), Perpetual contact: Mobile communication, private talk, public performance (pp. 139–169). New York, NY: Cambridge University Press.
   Google Scholar
• Oksman, V., & Turtiainen, J. (2004). Mobile communication as a social stage. New Media and Society, 6(3), 319–339. doi:10.1177/1461444804042518
   Web of Science ®Google Scholar
• O’Sullivan, P. B., & Carr, C. T. (2018). Masspersonal communication: A model bridging the mass-interpersonal divide. New Media & Society, 20(3), 1161–1180. doi:10.1177/1461444816686104
   Web of Science ®Google Scholar
• Pedersen, P. E., Nysveen, H., & Thorbjørnsen, H. (2002). The adoption of mobile services: A cross service study (SNF-report 31/ 02). Foundation for Research in Economics and Business Administration. http://ikt.hia.no/perep/rep3102.pdf
   Google Scholar
• Pew Research Center (2019). Mobile fact sheet. http://www.pewinternet.org/fact-sheet/mobile/
   Google Scholar
• Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, NY: Free Press.
   Google Scholar
• Sturken, M., & Thomas, D. (2004). Introduction: Technological visions and the rhetoric of the new. In M. Sturken, D. Thomas, & S. Ball-Rokeach (Eds.), Technological visions: The hopes and fears that shape new technologies (pp. 1–18). Philadelphia, PA: Temple University Press.
   Google Scholar
• United States Census Bureau (2016). Quick facts. https://www.census.gov/quickfacts/fact/table/US/PST045216
   Google Scholar
• Wesolowski, A., Eagle, N., Noor, A. M., Snow, R. W., & Buckee, C. O. (2012). Heterogeneous mobile phone ownership and usage patterns in Kenya. PLOS ONE, 7(4), e35319. https://doi.org/10.1371/journal.pone.0035319
   PubMed Web of Science ®Google Scholar
• Wirth, W., von Pape, T., & Karnowski, V. (2008). An integrative model of mobile phone appropriation. Journal of Computer-Mediated Communication, 13(3), 593–617. doi:10.1111/j.1083-6101.2008.00412.x
   Web of Science ®Google Scholar
• Wyche, S., Simiyu, N., & Othieno, M. E. (2019). Understanding women’s mobile phone use in rural Kenya: An affordance-based approach. Mobile Media & Communication, 7(1), 94–110. doi:10.1177/2050157918776684
   Web of Science ®Google Scholar