13
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      The Effect of Fear and Situational Motivation on Online Information Avoidance: The Case of COVID-19

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          During the COVID-19 pandemic, a plethora of online sources for information and news dissemination have emerged. Extant research suggests that very quickly, individuals become disinterested and begin avoiding the information. In this study, we investigate how an individual's fear and situational motivation impact Online Information Avoidance. Using the self-determination theory and information avoidance theories, we argue that fear and external regulation are associated with increased Online Information Avoidance. We also argue that intrinsic motivation and identified regulation are associated with a decrease in Online Information Avoidance. Our findings suggest that fear, intrinsic motivation, and external regulation drive Online Information Avoidance, where intrinsic motivation is the most significant driver. We also found that identified regulation is a crucial inhibitor of Online Information Avoidance. While focusing on COVID-19, our study contributes to the broader information systems research literature and specifically to the information avoidance literature during a pandemic or a prolonged crisis. Our study's findings will be useful for governments, health organizations, and communities that utilize online platforms, forums, and related outlets to reach larger audiences for disseminating pertinent information and recommendations during a crisis.

          Related collections

          Most cited references139

          • Record: found
          • Abstract: found
          • Article: not found

          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            A new criterion for assessing discriminant validity in variance-based structural equation modeling

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

                Bookmark

                Author and article information

                Journal
                Int J Inf Manage
                Int J Inf Manage
                International Journal of Information Management
                Elsevier Ltd.
                0268-4012
                0143-6236
                18 November 2022
                18 November 2022
                : 102596
                Affiliations
                [a ]Information Systems and Supply Chain Management, University of North Carolina Greensboro, Greensboro, United States
                [b ]Information Technology and Decision Sciences, University of North Texas, Denton, United States
                [c ]NOVA Information Management School, Universidade NOVA de Lisboa, Lisbon, Portugal
                Author notes
                [* ]Correspondence to: Room 306, Business Leadership Building, 1307 W Highland St, Denton, TX 76201.
                Article
                S0268-4012(22)00130-X 102596
                10.1016/j.ijinfomgt.2022.102596
                9671792
                36415624
                02b02672-c9da-4ded-91ef-41e7b3e584d3
                © 2022 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 5 May 2021
                : 22 October 2022
                : 15 November 2022
                Categories
                Research Article

                online information avoidance,self-determination theory,fear,situational motivation,covid-19

                Comments

                Comment on this article