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      Social isolation and social anxiety as drivers of generation Z's willingness to share personal information on social media

      1 , 2 , 3
      Psychology & Marketing
      Wiley

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          Abstract

          Generation Z's (gen z) sharing of personal information on social media is a growing phenomenon with significant ramifications. Existing research, however, focuses on examining the role of social and/or psychological factors and fails to consider how and when social, psychological, and organizational factors affect gen z's willingness to share personal information on social media. To fill this gap, we propose a conceptual model based on the tenets of sociometer theory, to understand the dynamics of gen z's willingness to share personal information while considering its process and boundary conditions. Using a sequential multi‐study design, we conducted an experiment followed by a survey to test our hypotheses using data collected from gen z in India. Our findings show that when gen z feels socially isolated/anxious, they are more likely to share personal information on social media. The effect of social isolation on sharing of personal information increases when gen z fear that they are missing out on the rewarding experiences others are having, are engaged in repetitive negative thoughts and perceive their firm's privacy policy as transparent and ethical. Our findings provide a better understanding of why, how, and when gen z's are willing to share personal information on social media. We extend existing limited research on the psychological aspects of digital natives' interaction with modern technologies. Our results equip social media marketing and brand managers with the knowledge they need to increase gen z's willingness to share personal information.

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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

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

              Structural equation modeling in practice: A review and recommended two-step approach.

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Psychology & Marketing
                Psychology and Marketing
                Wiley
                0742-6046
                1520-6793
                January 2023
                October 20 2022
                January 2023
                : 40
                : 1
                : 5-26
                Affiliations
                [1 ] School of Business and Managment Queen Mary University London London UK
                [2 ] School of Managment Sheffield University Management School Sheffield UK
                [3 ] Indian Institute of Management Lucknow Lucknow Uttar Pradesh India
                Article
                10.1002/mar.21744
                bc2dc454-b3d6-42e9-9c51-b080a0dfe64a
                © 2023

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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