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    Why Following Friends Can Hurt You: A Replication Study

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    Author
    Ampel, B.M.
    Ullman, S.
    Affiliation
    Department of Management Information Systems, University of Arizona
    Issue Date
    2023-12-15
    Keywords
    Envy
    Self-Enhancement
    Social Comparison Theory
    Social Media
    Social Networking Sites
    Subjective Well-Being
    
    Metadata
    Show full item record
    Publisher
    Association for Information Systems
    Citation
    Ampel, Benjamin M. and Ullman, Steven (2023) "Why Following Friends Can Hurt You: A Replication Study," AIS Transactions on Replication Research: Vol. 9, Article 6. DOI: 10.17705/1atrr.00078 Available at: https://aisel.aisnet.org/trr/vol9/iss1/6
    Journal
    AIS Transactions on Replication Research
    Rights
    Copyright © 2022 by the Association for Information Systems.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    This study is a methodological replication of the work originally published in Information Systems Research by Krasnova, Widjaja, Buxmann, Wenninger, and Benbasat (2015). The original work studied the effects of envy in the context of Social Network Sites (SNSs) among college-age users. We adapt the constructs and measurement items of the original survey but change the context of the SNS to Instagram instead of Facebook. We also target a sample of college-age students from the United States instead of from Germany. The results of our replication support six of the seven hypotheses from the original paper. Confirming these results reinforce the model proposed by Krasnova et al. (2015). However, our replication did not find a strong mediation effect from envy on an SNS between the intensity of social information consumption on an SNS and users’ cognitive well-being. The results suggest that the difference in population, SNS, or time has led to a change in this effect inviting further replications and new studies. © 2023, Association for Information Systems. All rights reserved.
    Note
    Immediate access
    ISSN
    2473-3458
    DOI
    10.17705/1atrr.00078
    Version
    Final Published Version
    ae974a485f413a2113503eed53cd6c53
    10.17705/1atrr.00078
    Scopus Count
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    UA Faculty Publications

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