Understanding the impact of information sources on COVID-19 related preventive measures in Finland

被引:50
作者
Farooq, Ali [1 ]
Laato, Samuli [1 ]
Islam, A. K. M. Najmul [1 ,2 ]
Isoaho, Jouni [1 ]
机构
[1] Univ Turku, Dept Comp, Turku, Finland
[2] LUT Univ, LUT Sch Engn Sci, Lappeenranta, Finland
关键词
Information overload; Online information sources; Social media; Coronavirus; COVID-19; Protection motivation theory; Self-isolation; Hygienic care; PROTECTION MOTIVATION THEORY; HEALTH INFORMATION; BEHAVIOR; IMPLEMENTATION; TECHNOLOGY;
D O I
10.1016/j.techsoc.2021.101573
中图分类号
D58 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号
摘要
The COVID-19 pandemic amplified the influence of information reporting on human behavior, as people were forced to quickly adapt to a new health threatening situation by relying on new information. Drawing from protection-motivation and cognitive load theories, we formulated a structural model eliciting the impact of the three online information sources: (1) social media, (2) official websites, and (3) other online news sources; on motivation to adopt recommended COVID-19 preventive measures. The model was tested with the data collected from university employees and students (n = 225) in March 2020 through an online survey and analyzed using partial least square structural equation modeling (PLS-SEM). We observed that social media and other online news sources increased information overload amongst the online information sources. This, in turn, negatively affected individuals' self-isolation intention by increasing perceived response costs and decreasing response efficacy. The study highlights the role of online information sources on preventive behaviors during pandemics.
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页数:9
相关论文
共 64 条
  • [1] Information systems in the age of pandemics: COVID-19 and beyond
    Agerfalk, Par J.
    Conboy, Kieran
    Myers, Michael D.
    [J]. EUROPEAN JOURNAL OF INFORMATION SYSTEMS, 2020, 29 (03) : 203 - 207
  • [2] THE THEORY OF PLANNED BEHAVIOR
    AJZEN, I
    [J]. ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) : 179 - 211
  • [3] Allington D, 2021, PSYCHOL MED, V51, P1763, DOI [10.1017/S003329172000224X, 10.1017/S0033291721000593]
  • [4] [Anonymous], 2020, Coronavi. Disease (COVID 19) Advice for the Public [E13/0E]
  • [5] Who's afraid of that ad? Applying segmentation to the protection motivation model
    Arthur, D
    Quester, P
    [J]. PSYCHOLOGY & MARKETING, 2004, 21 (09) : 671 - 696
  • [6] Coverage of Health Information by Different Sources in Communities: Implication for COVID-19 Epidemic Response
    Bach Xuan Tran
    Anh Kim Dang
    Phong Khanh Thai
    Huong Thi Le
    Xuan Thanh Thi Le
    Toan Thanh Thi Do
    Tu Huu Nguyen
    Hai Quang Pham
    Hai Thanh Phan
    Giang Thu Vu
    Dung Tri Phung
    Son Hong Nghiem
    Thu Ha Nguyen
    Trung Dinh Tran
    Khanh Nam Do
    Dat Van Truong
    Giap Van Vu
    Latkin, Carl A.
    Ho, Roger C. M.
    Ho, Cyrus S. H.
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (10)
  • [7] Adaptation to Information Technology: A Holistic Nomological Network from Implementation to Job Outcomes
    Bala, Hillol
    Venkatesh, Viswanath
    [J]. MANAGEMENT SCIENCE, 2016, 62 (01) : 156 - 179
  • [8] Bandura A., 1994, Encyclopedia of Psychology, V3, P368, DOI [10.1016/B978-0-08-097086-8.25033-2, DOI 10.1002/9780470479216.CORPSY0836]
  • [9] Factors associated with preventive behaviours of COVID-19 among hospital staff in Iran in 2020: an application of the Protection Motivation Theory
    Bashirian, S.
    Jenabi, E.
    Khazaei, S.
    Barati, M.
    Karimi-Shahanjarini, A.
    Zareian, S.
    Rezapur-Shahkolai, F.
    Moeini, B.
    [J]. JOURNAL OF HOSPITAL INFECTION, 2020, 105 (03) : 430 - 433
  • [10] Bento A.I., 2020, ARXIV PREPRINT ARXIV