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Predictors of Mobile Advertising Avoidance: What Makes People Avoid Mobile Advertising?

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초록

This study is designed to examine antecedents and consequences of mobile advertising avoidance. However, to date, research on mobile advertising avoidance has been scarce. Thus, this study makes significant contributions by addressing understudied areas in mobile advertising. Study results show that the perceived mobile advertising risk is positively related to mobile advertising avoidance. This study found that the perceived trust in mobile advertising is negatively linked to mobile advertising avoidance. The study results show that the perceived Internet users’ data privacy concerns is positively linked to mobile advertising avoidance. Finally, study results suggest that mobile advertising avoidance is positively linked to intention to delete the ad.

Abstract

This study is designed to examine antecedents and consequences of mobile advertising avoidance. However, to date, research on mobile advertising avoidance has been scarce. Thus, this study makes significant contributions by addressing understudied areas in mobile advertising. Study results show that the perceived mobile advertising risk is positively related to mobile advertising avoidance. This study found that the perceived trust in mobile advertising is negatively linked to mobile advertising avoidance. The study results show that the perceived Internet users’ data privacy concerns is positively linked to mobile advertising avoidance. Finally, study results suggest that mobile advertising avoidance is positively linked to intention to delete the ad.

참고문헌 (39)

  1. A. Scharl, "Diffusion and success factors of mobile marketing", Electronic Commerce Research and Applications, 4(2), pp.159~173 (2005)[DOI]
  2. "Global Mobile Advertising Market Will Reach USD 244.57 Billion by 2022"[URL]
  3. Donald F. Cox, "Perceived Risk and Consumer Decision-Making—The Case of Telephone Shopping", Journal of Marketing Research, 1(4), pp.32~39 (2018), SAGE Publications[DOI]
  4. Y. H. Li, "Applying theory of perceived risk and technology acceptance model in the online shopping channel", World Academy of Science, Engineering and Technology, 53(1), pp.919~925 (2009)
  5. Robert D. Hisrich, "Perceived Risk in Store Selection", Journal of Marketing Research, 9(4), pp.435~439 (2018), SAGE Publications[DOI]
  6. Jared M. Hansen, "Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions", Computers in Human Behavior, 80, pp.197~206 (2018), Elsevier BV[DOI]
  7. Vladlena Benson, "An empirical study of purchase behaviour on social platforms", Information Technology & People, 32(4), pp.876~896 (2019), Emerald[DOI]
  8. V.-W. Mitchell, "Re-conceptualizing consumer store image processing using perceived risk", Journal of Business Research, 54(2), pp.167~172 (2001), Elsevier BV[DOI]
  9. Roger C. Mayer, "An Integrative Model Of Organizational Trust", Academy of Management Review, 20(3), pp.709~734 (1995), Academy of Management[DOI]
  10. Wei-Hung Hsiao, "Understanding consumers’ continuance intention towards mobile advertising: a theoretical framework and empirical study", Behaviour & Information Technology, 33(7), pp.730~742 (2014), Informa UK Limited[DOI]
  11. Shintaro Okazaki, "How Mobile Advertising Works: The Role of Trust in Improving Attitudes and Recall", Journal of Advertising Research, 47(2), pp.165~178 (2007), WARC Limited[DOI]
  12. Marko Merisavo, "An Empirical Study of the Drivers of Consumer Acceptance of Mobile Advertising", Journal of Interactive Advertising, 7(2), pp.41~50 (2007), Informa UK Limited[DOI]
  13. H. Yang, "A comparative study of American and Chinese young consumers’ acceptance of mobile advertising: A structural equation modeling approach", International Journal of Mobile Marketing, 5(1), pp.60~76 (2010)
  14. Trisha T.C. Lin, "Determinants of mobile consumers' perceived value of location-based advertising and user responses", International Journal of Mobile Communications, 14(2), pp.99~117 (2016), Inderscience Publishers[DOI]
  15. Shintaro Okazaki, "Mobile advertising avoidance: exploring the role of ubiquity", Electronic Markets, 22(3), pp.169~183 (2012), Springer Science and Business Media LLC[DOI]
  16. Călin Gurău, "Consumer privacy issues in mobile commerce: a comparative study of British, French and Romanian consumers", Journal of Consumer Marketing, 26(7), pp.496~507 (2009), Emerald[DOI]
  17. A. F. Westin, "Privacy and Freedom" (1967), Athenaum
  18. Alexandra J. Campbell, "Relationship marketing in consumer markets: A comparison of managerial and consumer attitudes about information privacy", Journal of Direct Marketing, 11(3), pp.44~57 (1997), Wiley[DOI]
  19. Holtjona Galanxhi, "Privacy Issues in the Era of Ubiquitous Commerce", Electronic Markets, 16(3), pp.222~232 (2006), Informa UK Limited[DOI]
  20. Ramaprasad Unni, "Perceived Effectiveness of Push vs. Pull Mobile Location Based Advertising", Journal of Interactive Advertising, 7(2), pp.28~40 (2007), Informa UK Limited[DOI]
  21. Mercy Mpinganjira, "Ethics of mobile behavioral advertising: Antecedents and outcomes of perceived ethical value of advertised brands", Journal of Business Research, 95, pp.464~478 (2019), Elsevier BV[DOI]
  22. Michel Walrave, "Like or dislike? Adolescents’ responses to personalized social network site advertising", Journal of Marketing Communications, 24(6), pp.599~616 (2016), Informa UK Limited[DOI]
  23. Heng Xu, "The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services", Journal of Management Information Systems, 26(3), pp.135~174 (2014), Informa UK Limited[DOI]
  24. Paul Surgi Speck, "Predictors of Advertising Avoidance in Print and Broadcast Media", Journal of Advertising, 26(3), pp.61~76 (1997), Informa UK Limited[DOI]
  25. Hairong Li, "Measuring the Intrusiveness of Advertisements: Scale Development and Validation", Journal of Advertising, 31(2), pp.37~47 (2002), Informa UK Limited[DOI]
  26. Yujie Li, "User Perception Affects Search Engine Advertising Avoidance: Moderating Role of User Characteristics", Social Behavior and Personality: an international journal, 47(4), pp.1~12 (2019), Scientific Journal Publishers Ltd[DOI]
  27. Gerard P. Prendergast, "Predicting handbill avoidance in Hong Kong and the UK", European Journal of Marketing, 48(1, pp.2) (2014), 132~146[DOI]
  28. L. F. Alwitt, "Identifying who dislikes television advertising: Not by demographics alone", Journal of Advertising Research, 34(6), pp.17~30 (1994)
  29. Joanna Phillips, "Simply Captivating: Understanding Consumers' Attitudes Toward the Cinema as an Advertising Medium", Journal of Advertising, 36(1), pp.81~94 (2007), Informa UK Limited[DOI]
  30. Chang-Hoan Cho, "WHY DO PEOPLE AVOID ADVERTISING ON THE INTERNET?", Journal of Advertising, 33(4), pp.89~97 (2004), Informa UK Limited[DOI]
  31. Zahra Seyedghorban, "Reinquiry into Advertising Avoidance on the Internet: A Conceptual Replication and Extension", Journal of Advertising, 45(1), pp.120~129 (2016), Informa UK Limited[DOI]
  32. José I. Rojas-Méndez, "Universal differences in advertising avoidance behavior: A cross-cultural study", Journal of Business Research, 62(10), pp.947~954 (2009), Elsevier BV[DOI]
  33. Naresh K. Malhotra, "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model", Information Systems Research, 15(4), pp.336~355 (2004), Institute for Operations Research and the Management Sciences (INFORMS)[DOI]
  34. Denise D. Schoenbachler, "Multi‐channel shopping: understanding what drives channel choice", Journal of Consumer Marketing, 19(1), pp.42~53 (2002), Emerald[DOI]
  35. Chang Hyun Jin, "Consumer Responses to Advertising on the Internet: The Effect of Individual Difference on Ambivalence and Avoidance", CyberPsychology & Behavior, 10(2), pp.258~266 (2007), Mary Ann Liebert Inc[DOI]
  36. Windows: Basic concepts, applications, and programming, "Structural equation modeling with EQS and EQS", pp.1994, B. M. Byrne
  37. Michael W. Browne, "Alternative Ways of Assessing Model Fit", Sociological Methods & Research, 21(2), pp.230~258 (2016), SAGE Publications[DOI]
  38. J. C. Anderson, "Structural equation modeling in practice: A review and recommended twostep approach", Psychological Bulletin, 103(3), pp.411~423 (1988)
  39. ANTHONY D. MIYAZAKI, "Consumer Perceptions of Privacy and Security Risks for Online Shopping", Journal of Consumer Affairs, 35(1), pp.27~44 (2001), Wiley[DOI]

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