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Indian Journal of Marketing

ISSN: 0973-8703 Frequency: Monthly Peer Review: Double-blind Published since: 1968 Language: English
A publication of AMCPL
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New Delhi, India
Indexed in: Scopus Q3 UGC-CARE Group II ABDC: C Google Scholar J-Gate NAAS NISCAIR Crossref

Original Article

Open Access Original Article

Perceived Intrusiveness and Digital Audience : An Empirical Approach

Gajenderan Vijayakumar1Habeeb Ur Rahiman2Nishad Nawaz3N. V. Sriranga Prasad4

1 Associate Professor & Research Supervisor, Department of Commerce, Sir Theagaraya College, Chennai - 600 021, Tamil Nadu

2 Assistant Professor, College of Business Administration, Kingdom University, Bahrain, Building 287, Road 3903, Block 939 – Riffa, P.O. Box 40434

3 Associate Professor, Department of Business Management, College of Business Administration, Kingdom University, Bahrain, Building 287, Road 3903, Block 939 – Riffa, P.O. Box 40434

4 Assistant Professor, Department of Business Management, Satavahana University, Karimnagar - 505 002, Telangana

Volume 54
Issue 7
Pages 51–67
Year 2024
Received: Sept. 25, 2023 Accepted: April 20, 2024 Published: July 1, 2024
Abstract

Purpose: Since some advertising set-ups are considered obtrusive by consumers, the way that they perceive advertising has become more and more sophisticated. Finding consumer knowledge of and reaction to different types of online audience intrusiveness in digital media ads was the aim of this study.

Methodology: The study administered a purposive approach to investigate intrusive advertisements and consumer awareness and responses. The sample was collected from 381 samples from Bahrain and India through a structured questionnaire. The results were analyzed by inferring a structural equation model, regression, and descriptive statistics through Smart PLS and SPSS.

Findings: The results indicated that consumers are unaware of privacy invasion arising from digital marketing advertisement technology like facial recognition, eye tracking, and GPS tracking; however, they are aware of privacy invasion occurring through social media. The results explored that online ads are considered intrusive, and consumers deliberately do not pay attention to the ads on social networking services.Practical

Implications: The advertisers and practitioners carefully assess which internet advertising type is to be used based on the goal of their campaign. In the days of the information age, it is essential to evaluate consumers’ preferences and choices and provide them with more relevant communications by owing to knowledge about users’ navigational behaviors.

Originality: The study contributed to the field of digital media advertisement by linking perceived consumer instructiveness. The outcome of the study proposed a framework for future research by focusing on the research gap and key findings in this domain.

Keywords Digital ads privacy intrusiveness disruption awareness online
How to Cite

Gajenderan Vijayakumar, Habeeb Ur Rahiman, Nishad Nawaz, N. V. Sriranga Prasad (2024). Perceived Intrusiveness and Digital Audience : An Empirical Approach. Indian Journal of Marketing, 54(7), 51–67. https://doi.org/10.17010/ijom/2024/v54/i7/174016

References
  1. Abbasi, A. Z., Rehman, U., Ting, D. H., & Quraishi, M. A. (2022). Do pop-up ads in online videogames influence children's inspired-to behavior? Young Consumers, 23(3), 362–381. https://doi.org/10.1108/YC-06-2021-1347
  2. Arora, N., Rana, M., & Prashar, S. (2023). Empathy toward social media advertisements: The moderating role of ad intrusiveness. Journal of Promotion Management, 29(4), 535–568. https://doi.org/10.1080/10496491.2022.2163038
  3. Avérous, V., & Galichon, I. (2021). A narrative clinic of palliative care: Creative or intrusive writing? Ethics & Health, 18(4), 209–216. https://doi.org/10.1016/j.etiqe.2021.09.004
  4. Belanche, D., Flavián, C., & Pérez-Rueda, A. (2020). Brand recall of skippable vs non-skippable ads in YouTube: Readapting information and arousal to active audiences. Online Information Review, 44(3), 545–562. https://doi.org/10.1108/OIR-01-2019-0035
  5. Berry, L.-M., & Laskey, B. (2012). A review of obsessive intrusive thoughts in the general population. Journal of Obsessive-Compulsive and Related Disorders, 1(2), 125–132. https://doi.org/10.1016/j.jocrd.2012.02.002
  6. Biswas, W. (2023). Rewriting and redefining the aspects of marketing with metaverse – A brief insight. Indian Journal of Marketing, 53(3), 57–64. https://doi.org/10.17010/ijom/2023/v53/i3/172057
  7. Chandel, A., Sethi, A., & Mishra, P. (2017). A comparative study of Facebook marketing practices of selected theme based restaurants in India. Indian Journal of Marketing, 47(12), 51–63. https://doi.org/10.17010/ijom/2017/v47/i12/119901
  8. Chang, H. H., Rizal, H., & Amin, H. (2013). The determinants of consumer behavior towards email advertisement. Internet Research, 23(3), 316–337. https://doi.org/10.1108/10662241311331754
  9. Cheung, J., & Bryant, R. A. (2017). The impact of appraisals on intrusive memories. Journal of Behavior Therapy and Experimental Psychiatry, 54, 108–111. https://doi.org/10.1016/j.jbtep.2016.07.005
  10. Coker, K. K., Flight, R. L., & Baima, D. M. (2021). Video storytelling ads vs argumentative ads: How hooking viewers enhances consumer engagement. Journal of Research in Interactive Marketing, 15(4), 607–622. https://doi.org/10.1108/JRIM-05-2020-0115
  11. Cordero-Gutiérrez, R., & Lahuerta-Otero, E. (2020). Social media advertising efficiency on higher education programs. Spanish Journal of Marketing - ESIC, 24(2), 247–262. https://doi.org/10.1108/SJME-09-2019-0075
  12. Dondzilo, L., Grafton, B., Zaffino, J., & MacLeod, C. (2022). The independent roles of attentional engagement with, and disengagement from, negative information in intrusive re-experiencing of negative events. Journal of Behavior Therapy and Experimental Psychiatry, 75, 101722. https://doi.org/10.1016/j.jbtep.2021.101722
  13. Feng, Y., & Xie, Q. (2018). Privacy concerns, perceived intrusiveness, and privacy controls: An analysis of virtual try-on apps. Journal of Interactive Advertising, 19(1), 43–57. https://doi.org/10.1080/15252019.2018.1521317
  14. Gautam, S., Malik, P., & Jain, S. (2022). Role of trusting beliefs and trust in the adoption of online reviews of hotels: Extension of the IAM model. Indian Journal of Marketing, 52(11), 8–25. https://doi.org/10.17010/ijom/2022/v52/i11/172431
  15. Gutierrez, A., O'Leary, S., Rana, N. P., Dwivedi, Y. K., & Calle, T. (2019). Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor. Computers in Human Behavior, 95, 295–306. https://doi.org/10.1016/j.chb.2018.09.015
  16. Guzey, M., Funk, J., Kustermann, J., & Ehring, T. (2021). The effect of concreteness training on peri-traumatic processing and intrusive memories following an analogue trauma. Behaviour Research and Therapy, 147, 103970. https://doi.org/10.1016/j.brat.2021.103970
  17. Hirsimäki, M., Alavesa, P., & Arhippainen, L. (2021). Between beats: Linking player engagement to advertisement frequency and intrusiveness. In J. Roningand & T. Shatalova (eds.), 30th Conference of Open Innovations Association FRUCT (pp. 71–78). IEEE Computer Society. https://doi.org/10.23919/FRUCT53335.2021.9599998
  18. Huber, R. A., Wicki, M. L., & Bernauer, T. (2019). Public support for environmental policy depends on beliefs concerning effectiveness, intrusiveness, and fairness. Environmental Politics, 29(4), 649–673. https://doi.org/10.1080/09644016.2019.1629171
  19. Jackson, D. B., Testa, A., & Vaughn, M. G. (2020). Low self-control and the adolescent police stop: Intrusiveness, emotional response, and psychological well-being. Journal of Criminal Justice, 66, 101635. https://doi.org/10.1016/j.jcrimjus.2019.101635
  20. Jankowski, J., Lewandowska, A., Wątróbski, J., Ziemba, P., & Salabun, W. (2016). Modeling the perceptual response from effects oriented web components towards lower intrusiveness. Procedia Computer Science, 96, 147–158. https://doi.org/10.1016/j.procs.2016.08.120
  21. 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
  22. Le, C. X., & Wang, H. (2020). Integrative perceived values influencing consumers' attitude and behavioral responses toward mobile location-based advertising: An empirical study in Vietnam. Asia Pacific Journal of Marketing and Logistics, 33(1), 275–295. https://doi.org/10.1108/APJML-08-2019-0475
  23. Li, H., Edwards, S. M., & Lee, J.-H. (2002). Measuring the intrusiveness of advertisements: Scale development and validation. Journal of Advertising, 31(2), 37–47. https://doi.org/10.1080/00913367.2002.10673665
  24. Mahé, G., Suzumura, G. G., Moisan, L., & Suyama, R. (2022). A non intrusive audio clarity index (NIAC) and its application to blind source separation. Signal Processing, 194, 108448. https://doi.org/10.1016/j.sigpro.2021.108448
  25. Malhotra, G., Mishra, S., & Saxena, G. (2021). Consumers' psychological reactance and ownership in in-game advertising. Marketing Intelligence & Planning, 39(6), 842–855. https://doi.org/10.1108/MIP-09-2020-0419
  26. McCoy, S., Everard, A., Galletta, D. F., & Moody, G. D. (2017). Here we go again! The impact of website ad repetition on recall, intrusiveness, attitudes, and site revisit intentions. Information & Management, 54(1), 14–24. https://doi.org/10.1016/j.im.2016.03.005
  27. Menon, P. B. (2021). Influence of social media marketing efforts on brand equity and consumer response to branded shoes in India. Indian Journal of Marketing, 51(9), 24–40. https://doi.org/10.17010/ijom/2021/v51/i9/166162
  28. Mishra, S., & Malhotra, G. (2021). The gamification of in-game advertising: Examining the role of psychological ownership and advertisement intrusiveness. International Journal of Information Management, 61, 102245. https://doi.org/10.1016/j.ijinfomgt.2020.102245
  29. Nandi, S., & Prasad, S. S. (2024). Customer engagement marketing and firms' deliberation on e-word of mouth communication on online platforms: A study on millennials and zoomers. Indian Journal of Marketing, 54(1), 8–28. https://doi.org/10.17010/ijom/2024/v54/i1/173380
  30. Niu, X., Wang, X., & Liu, Z. (2021). When I feel invaded, I will avoid it: The effect of advertising invasiveness on consumers' avoidance of social media advertising. Journal of Retailing and Consumer Services, 58, 102320. https://doi.org/10.1016/j.jretconser.2020.102320
  31. Nyström, A.-G., & Mickelsson, K.-J. (2019). Digital advertising as service: Introducing contextually embedded selling. Journal of Services Marketing, 33(4), 396–406. https://doi.org/10.1108/JSM-01-2018-0043
  32. Olagunju, A. T., Bioku, A. A., Ohaeri, J. U., Oluwaniyi, S. O., Li, A., Olagunju, T. O., Esezobor, C. I., Onwuameze, O. E., & Chaimowitz, G. A. (2021). A comparative study of perceived burden in parent caregivers of adolescents with epilepsy in a resource-restricted setting: Investigating the explanatory factors of perceived burden. Epilepsy & Behavior, 120, 107992. https://doi.org/10.1016/j.yebeh.2021.107992
  33. Pfiffelmann, J., Dens, N., & Soulez, S. (2020). Personalized advertisements with integration of names and photographs: An eye-tracking experiment. Journal of Business Research, 111, 196–207. https://doi.org/10.1016/j.jbusres.2019.08.017
  34. Prasad, S. S., & Amruta, Y. K. (2023). Influence of social media on post-purchase dissonance: An empirical study. Indian Journal of Marketing, 53(6), 28–46. https://doi.org/10.17010/ijom/2023/v53/i6/172766
  35. Riedel, A. S., Weeks, C. S., & Beatson, A. T. (2018). Am I intruding? Developing a conceptualisation of advertising intrusiveness. Journal of Marketing Management, 34(9–10), 750–774. https://doi.org/10.1080/0267257X.2018.1496130
  36. Rodgers, S., & Thorson, E. (2017). Digital advertising: Theory and research (3rd ed.). Routledge. https://doi.org/10.4324/9781315623252
  37. Schulz, R., Czaja, S. J., & Monin, J. K. (2014). Intrusive thoughts mediate the relation between perceived patient suffering and caregiver depression. Alzheimer's & Dementia, 10(4S, Part 3), p. 225. https://doi.org/10.1016/j.jalz.2014.04.317
  38. Sharma, D., Wang, Y., Naylor, P. A., & Brookes, M. (2016). A data-driven non-intrusive measure of speech quality and intelligibility. Speech Communication, 80, 84–94. https://doi.org/10.1016/j.specom.2016.03.005
  39. Shimpi, S. S. (2018). Social media as an effective marketing tool: An empirical study. Indian Journal of Marketing, 48(7), 36–50. https://doi.org/10.17010/ijom/2018/v48/i7/129725
  40. Siji, S. (2021). Social commerce of Indian customers: Role of social media usage. Indian Journal of Marketing, 51(8), 26–38. https://doi.org/10.17010/ijom/2021/v51/i8/165760
  41. Singh, L., Kanstrup, M., Gamble, B., Geranmayeh, A., Göransson, K. E., Rudman, A., Dahl, O., Lindström, V., Hörberg, A., Holmes, E. A., & Moulds, M. L. (2022). A first remotely-delivered guided brief intervention to reduce intrusive memories of psychological trauma for healthcare staff working during the ongoing COVID-19 pandemic: Study protocol for a randomised controlled trial. Contemporary Clinical Trials Communications, 26, 100884. https://doi.org/10.1016/j.conctc.2022.100884
  42. Srivastava, S., Wilska, T.-A., & Nyrhinen, J. (2023). Awareness of digital commercial profiling among adolescents in Finland and their perspectives on online targeted advertisements. Journal of Children and Media, 17(4), 559–578. https://doi.org/10.1080/17482798.2023.2257813
  43. Stavropoulos, A., & Berle, D. (2020). The influence of ruminative processing mode on the trajectory of intrusive memories following a negative mood induction. Journal of Behavior Therapy and Experimental Psychiatry, 68, 101528. https://doi.org/10.1016/j.jbtep.2019.101528
  44. Sung, E. (2020). Consumers' responses to mobile app advertisements during holiday periods. Journal of Consumer Marketing, 37(3), 341–352. https://doi.org/10.1108/JCM-03-2019-3137
  45. Tustin, R. D., Pennington, B., & Byrne, M. (1994). Intrusiveness of interventions: Ratings by psychologists. Behaviour Change, 11(2), 94–100. https://doi.org/10.1017/S0813483900004605
  46. Van den Broeck, E., Poels, K., & Walrave, M. (2020). How do users evaluate personalized Facebook advertising? An analysis of consumer- and advertiser controlled factors. Qualitative Market Research, 23(2), 309–327. https://doi.org/10.1108/QMR-10-2018-0125
  47. Verberckmoes, S., Poels, K., Dens, N., Herrewijn, L., & De Pelsmacker, P. (2016). When and why is perceived congruity important for in-game advertising in fantasy games? Computers in Human Behavior, 64, 871–880. https://doi.org/10.1016/j.chb.2016.07.062
  48. Wottrich, V. M., van Reijmersdal, E. A., & Smit, E. G. (2018). The privacy trade-off for mobile app downloads: The roles of app value, intrusiveness, and privacy concerns. Decision Support Systems, 106, 44–52. https://doi.org/10.1016/j.dss.2017.12.003
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