225
Views
0
CrossRef citations to date
0
Altmetric
Research Article

An SEM-ANP Multi-Criteria Evaluation Model for Mobile Advertising That Affect Purchase Intentions: Perspectives on the Values of Context Awareness and Flow Experience

, &

References

  • Agarwal, R., & Karahanna, E. (2000). Time flies when you are having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694. https://doi.org/10.2307/3250951
  • Bacile, T. J., Ye, C., & Swilley, E. (2014). From firm-controlled to consumer-contributed: Consumer co-production of personal media marketing communication. Journal of Interactive Marketing, 28(2), 117–133. https://doi.org/10.1016/j.intmar.2013.12.001
  • Bakopoulos, V., Baronello, J., & Briggs, R. (2017). How brands can make smarter decisions in mobile marketing: Strategies for improved media-mix effectiveness and questions for future research. Journal of Advertising Research, 57(4), 447–461. Published December 1, 2017 https://doi.org/10.2501/JAR-2017-052
  • Bart, Y., Stephen, A. T., & Sarvary, M. (2014). Which products are best suited to mobile advertising? A field study of mobile display advertising effects on consumer attitudes and intentions. Journal of Marketing Research, 51(3), 270–285. https://doi.org/10.1509/jmr.13.0503
  • Cai, X., Cebollada, J., & Cortiñas, M. (2022). Self-report measure of dispositional flow experience in the video game context: Conceptualisation and scale development. International Journal of Human-Computer Studies, 159, 102746. https://doi.org/10.1016/j.ijhcs.2021.102746
  • Cappelli, P., & Sherer, P. D. (1991). Managerial promotion: The effect of socialization, specialization, and gender. Industrial and Labor Relations Review, 42, 77–88. https://doi.org/10.1177/001979398804200106
  • Capurso, N., Mei, B., Song, T., Cheng, X., & Yu, J. (2018). A survey on key fields of context awareness for mobile devices. Journal of Network and Computer Applications, 118, 44–60. https://doi.org/10.1016/j.jnca.2018.05.006
  • Chakraborty, U., & Biswal, S. K. (2020). Impact of online reviews on consumer’s hotel booking intentions: Does brand image mediate? Journal of Promotion Management, 26(7), 943–963. https://doi.org/10.1080/10496491.2020.1746465
  • Chakraborty, U., & Bhat, S. (2019). Are online opinion leaders and seekers distinct? A study on consumer electronics industry in India. Global Business Review, 20(3), 813–825. https://doi.org/10.1177/0972150919837093
  • Chen, Y. M., Hsu, T. H., & Lu, Y. J. (2018). Impact of flow on mobile shopping intention. Journal of Retailing and Consumer Services, 41, 281–287. https://doi.org/10.1016/j.jretconser.2017.04.004
  • Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. Jossey-Bass.
  • Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.
  • Csikszentmihalyi, M., & Csikszentmihalyi, I. (1990). Adventure and the flow experience. In Miles and Priest (ed.), Adventure education. (pp. 149–156) Venture Publishing, Inc.
  • Dhar, S., & Varshney, U. (2011). Challenges and business models for mobile location-based services and advertising. Communications of the ACM, 54(5), 121–128. https://doi.org/10.1145/1941487.1941515
  • Ducoffe, R. H. (1996). Advertising value and advertising on the web-Blog@ management. Journal of Advertising Research, 36(5), 21–32.
  • Fischer, E., & Reuber, A. R. (2011). Social interaction via new social media: (How) can interactions on Twitter affect effectual thinking and behavior?. Journal of Business Venturing, 26(1), 1–18. https://doi.org/10.1016/j.jbusvent.2010.09.002
  • Fong, N. M., Fang, Z., & Luo, X. (2015). Geo-conquesting: Competitive locational targeting of mobile promotions. Journal of Marketing Research, 52(5), 726–735. https://doi.org/10.1509/jmr.14.0229
  • Ghose, A., Goldfarb, A., & Han, S. P. (2013). How is the mobile Internet different? Search costs and local activities. Information Systems Research, 24(3), 613–631. https://doi.org/10.1287/isre.1120.0453
  • Grewal, D., Bart, Y., Spann, M., & Zubcsek, P. P. (2016). Mobile advertising: A framework and research agenda. Journal of Interactive Marketing, 34, 3–14. https://doi.org/10.1016/j.intmar.2016.03.003
  • Heider, F. (1958). The psychology of interpersonal relations. John Wiley & Sons.
  • Hoffman, D. L., & Novak, T. P. (2009). Flow online: Lessons learned and prospects. Journal of Interactive Marketing, 23(1), 23–34. https://doi.org/10.1016/j.intmar.2008.10.003
  • Hsieh, M. Y. (2020). Interdisciplinarily exploring the most potential iot technology determinants in the omnichannel E-commerce purchasing decision-making processes. Applied Sciences, 10(2), 603. https://doi.org/10.3390/app10020603
  • Jackson, M. (2019). Utilizing attribution theory to develop new insights into tourism experiences. Journal of Hospitality and Tourism Management, 38, 176–183. https://doi.org/10.1016/j.jhtm.2018.04.007
  • Kaplan, A. M. (2012). If you love something, let it go mobile: Mobile marketing and mobile social media 4x4. Business Horizons, 55(2), 129–139. https://doi.org/10.1016/j.bushor.2011.10.009
  • Kenny, D., & Marshall, J. F. (2000). Contextual marketing. Harvard Business Review, 78(6), 119–125.
  • Ketelaar, P. E., Bernritter, S. F., Van Woudenberg, T. J., Rozendaal, E., Konig, R. P., Hühn, A. E., Van Gisbergen, M. S., & Janssen, L. (2018). “Opening” location-based mobile ads: How openness and location congruency of location-based ads weaken negative effects of intrusiveness on brand choice. Journal of Business Research, 91, 277–285. https://doi.org/10.1016/j.jbusres.2018.06.018
  • Kim, Y. J., & Han, J. (2014). Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization. Computers in Human Behavior, 33, 256–269. https://doi.org/10.1016/j.chb.2014.01.015
  • Kim, B., Yoo, M., & Yang, W. (2020). Online engagement among restaurant customers: The importance of enhancing flow for social media users. Journal of Hospitality & Tourism Research, 44(2), 252–277. https://doi.org/10.1177/1096348019887202
  • Kim, M. (2022). How can I Be as attractive as a Fitness YouTuber in the era of COVID-19? The impact of digital attributes on flow experience, satisfaction, and behavioral intention. Journal of Retailing and Consumer Services, 64, 102778. https://doi.org/10.1016/j.jretconser.2021.102778
  • Lee, E. B., Lee, S. G., & Yang, C. G. (2017). The influences of advertisement attitude and brand attitude on purchase intention of smartphone advertising. Industrial Management & Data Systems, 117(6), 1011–1036. https://doi.org/10.1108/IMDS-06-2016-0229
  • Liu, F., Li, J., Mizerski, D., & Soh, H. (2012). Self-congruity, brand attitude, and brand loyalty: A study on luxury brands. European Journal of Marketing, 46(7/8), 922–937. https://doi.org/10.1108/03090561211230098
  • Martins, J., Costa, C., Oliveira, T., Gonçalves, R., & Branco, F. (2019). How smartphone advertising influences consumers’ purchase intention. Journal of Business Research, 94, 378–387. https://doi.org/10.1016/j.jbusres.2017.12.047
  • Mullen, B., & Johnson, C. (2013). The psychology of consumer behavior. Psychology Press.
  • Mustafi, M. A. A., & Hosain, M. S. (2020). The role of online advertising on purchase intention of smartphones: Mediating effects of flow experience and advertising value. Journal of Contemporary Marketing Science, 3(3), 385–410. https://doi.org/10.1108/JCMARS-05-2020-0024
  • Nakamura, J., & Csikszentmihalyi, M. (2014). The concept of flow. In Flow and the foundations of positive psychology. Springer.
  • Nasco, S. A., & Bruner, G. C. (2008). Comparing consumer responses to advertising and non‐advertising mobile communications. Psychology and Marketing, 25(8), 821–837. https://doi.org/10.1002/mar.20241
  • Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105–114. https://doi.org/10.1007/s00779-011-0412-2
  • Saaty, T. L., & Vargas, L. G. (1998). Diagnosis with dependent symptoms: Bayes theorem and the analytic hierarchy process. Operations Research, 46(4), 491–502. https://doi.org/10.1287/opre.46.4.491
  • Saaty, T. L. (2006). Rank from comparisons and from ratings in the analytic hierarchy/network processes. European Journal of Operational Research, 168(2), 557–570. https://doi.org/10.1016/j.ejor.2004.04.032
  • Scharl, A., Dickinger, A., & Murphy, J. (2005). Diffusion and success factors of mobile marketing. Electronic Commerce Research and Applications, 4(2), 159–173. https://doi.org/10.1016/j.elerap.2004.10.006
  • Shankar, V., & Yadav, M. S. (2010). Emerging perspectives on marketing in a multichannel and multimedia retailing environment. Journal of Interactive Marketing, 24(2), 55–57. https://doi.org/10.1016/j.intmar.2010.02.003
  • Spiekermann, S., Rothensee, M., & Klafft, M. (2011). Street marketing: How proximity and context drive coupon redemption. Journal of Consumer Marketing, 28(4), 280–289. https://doi.org/10.1108/07363761111143178
  • Tohidi, A., Ghorbani, M., Karbasi, A. R., Asgharpourmasouleh, A., & Hassani-Mahmooei, B. (2020). Prioritization of business strategies and marketing resources using the analytic network process (ANP) approach. Journal of Agricultural Science and Technology, 22(3), 611–624. http://jast.modares.ac.ir/article-23-27349-en.html
  • Xu, D. J. (2006). The influence of personalization in affecting consumer attitudes toward mobile advertising in China. Journal of Computer Information Systems, 47(2), 9–19. https://doi.org/10.1080/08874417.2007.11645949
  • Xu, D. J., Liao, S. S., & Li, Q. (2008). Combining empirical experimentation and modeling techniques: A design research approach for personalized mobile advertising applications. Decision Support Systems, 44(3), 710–724. https://doi.org/10.1016/j.dss.2007.10.002
  • Wang, Y., Yeh, C., & Liao, Y. (2013). What drives purchase intention in the context of online content services? The moderating role of ethical self-efficacy for online piracy. International Journal of Information Management, 33(1), 199–208. https://doi.org/10.1016/j.ijinfomgt.2012.09.004
  • Weiner, B. (1985). An attributional theory of achievement motivation and emotion. Psychological Review, 92(4), 548–573. https://doi.org/10.1037/0033-295X.92.4.548
  • Yang, B., Kim, Y., & Yoo, C. (2013). The integrated mobile advertising model: The effects of technology-and emotion-based evaluations. Journal of Business Research, 66(9), 1345–1352. https://doi.org/10.1016/j.jbusres.2012.02.035
  • Zhang, Q., Liu, X., Li, Z., & Tan, Z. (2021). Multi-experiences in the art performance tourism: Integrating experience economy model with flow theory. Journal of Travel & Tourism Marketing, 38(5), 491–510. https://doi.org/10.1080/10548408.2021.1952148

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.