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      The addiction behavior of short-form video app TikTok: The information quality and system quality perspective

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          Abstract

          TikTok has one of the most advanced algorithm systems and is the most addictive as compared to other social media platforms. While research on social media addiction is abundant, we know much less about how the TikTok information system environment affects users’ internal states of enjoyment, concentration, and time distortion (which scholars define as the flow experience), which in turn influences their addiction behavior. To fill this gap, this study collects responses from 659 adolescents in China aged between 10 and 19 years old, and the data is then analyzed using Partial Least Square (PLS). We find that the system quality has a stronger influence than information quality in determining adolescents’ experience with TikTok and that the flow experience has significant direct and indirect effects on TikTok addiction behavior. Notably, this study finds that TikTok addiction is determined by users’ mental concentration on the medium and its content. Several theoretical insights from the stimulus–organism–response (S–O–R) model and the flow theory are used to explain the findings.

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          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.
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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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

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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                06 September 2022
                2022
                : 13
                : 932805
                Affiliations
                [1] 1School of Communication, Universiti Sains Malaysia (USM), George Town , Penang, Malaysia
                [2] 2Department of Humanities, Social Sciences and Cultural Industries, University of Parma , Parma, Italy
                Author notes

                Edited by: Mike Z. Yao, University of Illinois Urbana-Champaign, United States

                Reviewed by: Eduardo Moraes Sarmento, Lusophone University of Humanities and Technologies, Portugal; Qian Liu, Beijing Normal University, China; Yanyun Mia Wang, University of Illinois Urbana-Champaign, United States, in collaboration with reviewer QL

                *Correspondence: Bahiyah Omar, bahiyah@ 123456usm.my

                This article was submitted to Organizational Psychology, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2022.932805
                9486470
                36148123
                cb8d8f69-96d9-4082-9a19-c47eab4560b5
                Copyright © 2022 Qin, Omar and Musetti.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 30 April 2022
                : 01 August 2022
                Page count
                Figures: 2, Tables: 8, Equations: 0, References: 115, Pages: 17, Words: 10614
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                tiktok,information quality,system quality,flow,addiction,s–o–r model,quantitative research

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