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The Effects of Asymmetric Social Ties, Structural Embeddedness, and Tie Strength on Online Content Contribution Behavior

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  • Rishika Rishika

    (Poole College of Management, North Carolina State University, Raleigh, North Carolina 27695)

  • Jui Ramaprasad

    (Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada)

Abstract

For a social media community to thrive and grow, it is critical that users of the site interact with each other and contribute content to the site. We study the role of social ties in motivating user preference expression, a form of user content contribution, in an online social media community. We examine the role of three types of ties, reciprocated , follower , and followee ties, and assess whether the structural and relational properties of a user’s social network moderate the social influence effect in user contribution. A unique disaggregate level panel data set of users’ contributions and social tie formation activities from an online music platform is employed to study the impact of social ties. To address identification issues, we adopt a quasi-experimental approach based on dynamic propensity score matching. The results provide strong evidence of the influence of online network ties in online contribution behavior. We find that the influence of reciprocated ties is the greatest, followed by influence from followee ties and then follower ties. Additional analysis reveals that reciprocated and followee ties have even greater influence when they contribute new information for a focal user. Structural embeddedness and tie strength among network ties are found to amplify the effect of social contagion in online contribution. We conduct several sensitivity and robustness checks that lend credible support to our findings. The results add to the greater understanding of social influence in online contribution and provide valuable managerial insights into designs of online communities to enable greater user participation.

Suggested Citation

  • Rishika Rishika & Jui Ramaprasad, 2019. "The Effects of Asymmetric Social Ties, Structural Embeddedness, and Tie Strength on Online Content Contribution Behavior," Management Science, INFORMS, vol. 65(7), pages 3398-3422, July.
  • Handle: RePEc:inm:ormnsc:v:65:y:2019:i:7:p:3398-3422
    DOI: 10.1287/mnsc.2018.3087
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    as
    1. Tim Rowley & Dean Behrens & David Krackhardt, 2000. "Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 369-386, March.
    2. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
    3. David I. Levine & Michael W. Toffel, 2010. "Quality Management and Job Quality: How the ISO 9001 Standard for Quality Management Systems Affects Employees and Employers," Management Science, INFORMS, vol. 56(6), pages 978-996, June.
    4. De Bruyn, Arnaud & Lilien, Gary L., 2008. "A multi-stage model of word-of-mouth influence through viral marketing," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 151-163.
    5. Yan Chen & F. Maxwell Harper & Joseph Konstan & Sherry Xin Li, 2010. "Social Comparisons and Contributions to Online Communities: A Field Experiment on MovieLens," American Economic Review, American Economic Association, vol. 100(4), pages 1358-1398, September.
    6. Patrick J. Bateman & Peter H. Gray & Brian S. Butler, 2011. "Research Note ---The Impact of Community Commitment on Participation in Online Communities," Information Systems Research, INFORMS, vol. 22(4), pages 841-854, December.
    7. Anjana Susarla & Jeong-Ha Oh & Yong Tan, 2012. "Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube," Information Systems Research, INFORMS, vol. 23(1), pages 23-41, March.
    8. David Godes & Dina Mayzlin, 2009. "Firm-Created Word-of-Mouth Communication: Evidence from a Field Test," Marketing Science, INFORMS, vol. 28(4), pages 721-739, 07-08.
    9. Christophe Van den Bulte & Yogesh V. Joshi, 2007. "New Product Diffusion with Influentials and Imitators," Marketing Science, INFORMS, vol. 26(3), pages 400-421, 05-06.
    10. Mu Xia & Yun Huang & Wenjing Duan & Andrew B. Whinston, 2012. "Research Note ---To Continue Sharing or Not to Continue Sharing? An Empirical Analysis of User Decision in Peer-to-Peer Sharing Networks," Information Systems Research, INFORMS, vol. 23(1), pages 247-259, March.
    11. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    12. Anindya Ghose & Sang Pil Han, 2011. "An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet," Management Science, INFORMS, vol. 57(9), pages 1671-1691, September.
    13. Makela, Kristiina & Kalla, Hanna K. & Piekkari, Rebecca, 2007. "Interpersonal similarity as a driver of knowledge sharing within multinational corporations," International Business Review, Elsevier, vol. 16(1), pages 1-22, February.
    14. 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.
    15. Xiaohua Zeng & Liyuan Wei, 2013. "Social Ties and User Content Generation: Evidence from Flickr," Information Systems Research, INFORMS, vol. 24(1), pages 71-87, March.
    16. 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.
    17. Ed Dehaan & Frank Hodge & Terry Shevlin, 2013. "Does Voluntary Adoption of a Clawback Provision Improve Financial Reporting Quality?," Contemporary Accounting Research, John Wiley & Sons, vol. 30(3), pages 1027-1062, September.
    18. Brian S. Butler, 2001. "Membership Size, Communication Activity, and Sustainability: A Resource-Based Model of Online Social Structures," Information Systems Research, INFORMS, vol. 12(4), pages 346-362, December.
    19. Xiaoquan (Michael) Zhang & Feng Zhu, 2011. "Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia," American Economic Review, American Economic Association, vol. 101(4), pages 1601-1615, June.
    20. 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.
    21. Daniel Z. Levin & Rob Cross, 2004. "The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer," Management Science, INFORMS, vol. 50(11), pages 1477-1490, November.
    22. Corey M. Angst & Ritu Agarwal & V. Sambamurthy & Ken Kelley, 2010. "Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals," Management Science, INFORMS, vol. 56(8), pages 1219-1241, August.
    23. David Godes & José C. Silva, 2012. "Sequential and Temporal Dynamics of Online Opinion," Marketing Science, INFORMS, vol. 31(3), pages 448-473, May.
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