Qualitative Analysis of the SNS Role in Information Avoidance from the Perspective of S-O-R (Stimulus-Organism-Response) Theory
DOI:
https://doi.org/10.25126/jitecs.72439Abstract
Today, many people and organizations use SNS to disseminate information regarding COVID-19. However, information avoidance can still occur if users refuse to receive the information. Although previous research on information avoidance has been conducted, this research brings novelty by showing that the SNS design leads to information avoidance from the opinion and human behavior perspective. Therefore, this study analyzed the role of SNS in information avoidance from the perspective of SOR theory qualitatively. This research was conducted in Indonesia, which has the most significant SNS users on subjects who feel the impact of information overload and anxiety. It aimed to comprehend the phenomenon's effect on SNS users and the factors driving information avoidance. This research provided two contributions from the thematic analysis process. The first was to show the conceptual model of information avoidance related to the factors driving information avoidance and information anxiety from the perspective of SOR theory. The second was to provide knowledge about the impact of SNS on user behavior.
References
S. H. Soroya, A. Farooq, K. Mahmood, J. Isoaho, and S. Zara, ‘From information seeking to information avoidance: Understanding the health information behavior during a global health crisis’, Inf. Process. Manag., vol. 58, no. 2, p. 102440. (2021)
M. Maruyama, S. P. Robertson, S. Douglas, R. Raine, and B. Semaan, ‘“ Social watching ” a Civic Broadcast : Understanding the Effects of Positive Feedback and Other Users ’ Opinions’, Proc. 2017 ACM Conf. Comput. Support. Coop. Work Soc. Comput., pp. 794–807. (2017)
D. Boyd and N. B. Ellison, ‘Social Network Sites : Definition , History , and Scholarship’, J. Comput. Commun. Soc., vol. 13, pp. 210–230. (2008)
Statista Research Department, ‘Jumlah pengguna jejaring sosial di negara tertentu pada tahun 2021 dan 2026’, statista, 2021. [Online]. Available: https://www.statista.com/statistics/278341/number-of-social-network-users-in-selected-countries/. [Accessed: 10-Feb-2022].
S. Zhang, L. Zhao, Y. Lu, and J. Yang, ‘Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services’, Inf. Manag., vol. 53, no. 7, pp. 904–914. (2016)
S. Song, X. Yao, and N. Wen, ‘What motivates Chinese consumers to avoid information about the COVID-19 pandemic ?: The perspective of the stimulus-organism- response model’, vol. 58, no. September 2020. (2021)
Y. Guo, Z. Lu, H. Kuang, and C. Wang, ‘Information avoidance behavior on social network sites: Information irrelevance, overload, and the moderating role of time pressure’, Int. J. Inf. Manage., vol. 52, p. 102067. (2020)
Y. Xiang and S. W. Chae, ‘Influence of Perceived Interactivity on Continuous Use Intentions on the Danmaku Video Sharing Platform : Belongingness Perspective Influence of Perceived Interactivity on Continuous Use Intentions on the Danmaku Video Sharing Platform : Belongingness Per. (2021)
J. Saldana, The Coding Manual for Qualitative Researchers. (2016)
J. Rowley, ‘Conducting research interviews’, Manag. Res. Rev. (2012)
J. M. Morse, ‘Data were saturated...’ Sage Publications Sage CA: Los Angeles, CA (2015)
B. C. K. Choi and A. W. P. Pak, ‘Peer reviewed: a catalog of biases in questionnaires’, Prev. Chronic Dis., vol. 2, no. 1. (2005)
O. Doody and M. Noonan, ‘Preparing and conducting interviews to collect data’, Nurse Res., vol. 20, no. 5. (2013)
V. Braun and V. Clarke, ‘Using thematic analysis in psychology Using thematic analysis in psychology’, no. January 2013, pp. 37–41. (2008)
J. W. Creswell, Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications. (2017)
F. Zheng, N. A. Khan, and S. Hussain, ‘The COVID 19 Pandemic and Digital Higher Education: Exploring the impact of proactive personality on social capital through internet self-efficacy and online interaction quality’, Child. Youth Serv. Rev., p. 105694. (2020)
M. Sandelowski, ‘Theory unmasked: The uses and guises of theory in qualitative research’, Res. Nurs. Health, vol. 16, no. 3, pp. 213–218. (1993)
A. Ri, S. Son, and K. Kyu, ‘Information and communication technology overload and social networking service fatigue: A stress perspective’, Comput. Human Behav., vol. 55, pp. 51–61. (2016)
S. Fu, H. Li, Y. Liu, H. Pirkkalainen, and M. Salo, ‘Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload’, Inf. Process. Manag., vol. 57, no. 6, p. 102307. (2020)
B. Dai, A. Ali, and H. Wang, ‘Exploring information avoidance intention of social media users : a cognition – affect – conation perspective’, vol. 30, no. 5, pp. 1455–1478. (2019)
Downloads
Published
Issue
Section
License
Creative Common Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).