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The Kindness of Commenters: An Empirical Study of the Effectiveness of Perceived and Received Support for Weight‐Loss Outcomes

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  • Lu (Lucy) Yan

Abstract

Social media‐based online communities are becoming increasingly popular for various social interactions, including those for healthcare and health‐related activities. The benefits from these activities, however, are constrained by how a platform is designed, as a platform's design defines what activities can be done and how individuals can engage and interact on the platform. In this study, we focus on weight‐loss communities and social tools that facilitate social communication and establish a variety of relationships between users. In particular, we examine the effectiveness of one‐way and two‐way social relationships on individuals’ weight‐loss management. Drawing from theories of social support, social reciprocity, and social indebtedness, we use two‐way friendship relationships to proxy perceived support and one‐way commenting relationships to proxy received support and conjecture that they work through different pathways. We find, through empirical analyses, that both types of social relationships as well as self‐monitoring are effective in promoting weight loss, but perceived and received support have different impacts. Whereas both perceived and received support are positively related to weight‐loss outcomes, the effect of received support is found to be higher than that of perceived support and the difference is statistically significant. Moreover, we find that received support is positively associated with self‐monitoring behaviors, whereas perceived support is not. These findings provide insights for platform providers to improve the social design aspect of online services and for healthcare practitioners in their efforts to advise individuals on weight self‐management. Our results also can be used to design and implement more effective online interventions.

Suggested Citation

  • Lu (Lucy) Yan, 2020. "The Kindness of Commenters: An Empirical Study of the Effectiveness of Perceived and Received Support for Weight‐Loss Outcomes," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1448-1466, June.
    • Handle: RePEc:bla:popmgt:v:29:y:2020:i:6:p:1448-1466
    DOI: 10.1111/poms.13171
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    References listed on IDEAS

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    1. Lu (Lucy) Yan & Alfonso J. Pedraza‐Martinez, 2019. "Social Media for Disaster Management: Operational Value of the Social Conversation," Production and Operations Management, Production and Operations Management Society, vol. 28(10), pages 2514-2532, October.
    2. Stefano DellaVigna & John A. List & Ulrike Malmendier, 2012. "Testing for Altruism and Social Pressure in Charitable Giving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(1), pages 1-56.
    3. Olivier Toubia & Andrew T. Stephen, 2013. "Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?," Marketing Science, INFORMS, vol. 32(3), pages 368-392, May.
    4. Sinan Aral & Chrysanthos Dellarocas & David Godes, 2013. "Introduction to the Special Issue ---Social Media and Business Transformation: A Framework for Research," Information Systems Research, INFORMS, vol. 24(1), pages 3-13, March.
    5. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(3), pages 243-243, December.
    6. Ravi Bapna & Akhmed Umyarov, 2015. "Do Your Online Friends Make You Pay? A Randomized Field Experiment on Peer Influence in Online Social Networks," Management Science, INFORMS, vol. 61(8), pages 1902-1920, August.
    7. Naveen Kumar & Liangfei Qiu & Subodha Kumar, 2018. "Exit, Voice, and Response on Digital Platforms: An Empirical Investigation of Online Management Response Strategies," Information Systems Research, INFORMS, vol. 29(4), pages 849-870, December.
    8. Ruomeng Cui & Santiago Gallino & Antonio Moreno & Dennis J. Zhang, 2018. "The Operational Value of Social Media Information," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1749-1769, October.
    9. Tomer, John F., 2013. "Stemming the tide of obesity: What needs to happen," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 42(C), pages 88-98.
    10. Gerber, Alan S. & Green, Donald P. & Larimer, Christopher W., 2008. "Social Pressure and Voter Turnout: Evidence from a Large-Scale Field Experiment," American Political Science Review, Cambridge University Press, vol. 102(1), pages 33-48, February.
    11. Samayita Guha & Subodha Kumar, 2018. "Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1724-1735, September.
    12. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    13. Anonymous, 2013. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 8(2), pages 129-130, November.
    14. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    15. repec:feb:framed:0087 is not listed on IDEAS
    16. Sinan Aral & Dylan Walker, 2014. "Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment," Management Science, INFORMS, vol. 60(6), pages 1352-1370, June.
    17. Lu Yan & Yong Tan, 2014. "Feeling Blue? Go Online: An Empirical Study of Social Support Among Patients," Information Systems Research, INFORMS, vol. 25(4), pages 690-709, December.
    18. Lu (Lucy) Yan, 2018. "Good Intentions, Bad Outcomes: The Effects of Mismatches between Social Support and Health Outcomes in an Online Weight Loss Community," Production and Operations Management, Production and Operations Management Society, vol. 27(1), pages 9-27, January.
    19. Nada R. Sanders & Ram Ganeshan, 2018. "Big Data in Supply Chain Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1745-1748, October.
    20. Tonya Boone & Ram Ganeshan & Robert L. Hicks & Nada R. Sanders, 2018. "Can Google Trends Improve Your Sales Forecast?," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1770-1774, October.
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