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They ought to do it too: Understanding effects of social information on donation behavior and mood

Author

Listed:
  • Claire Teunenbroek

    (Vrije Universiteit Amsterdam)

  • René Bekkers

    (Vrije Universiteit Amsterdam)

  • Bianca Beersma

    (Vrije Universiteit Amsterdam)

Abstract

Social information, providing potential donors with information about the donation amount given by earlier donors, is often applied as an intervention in online donation contexts. It has been suggested that social information informs others about the most common (descriptive norm) or appropriate (injunctive norm) behavior, and that these perceived social norms explain its effects. We present evidence from a preregistered online experiment testing to what extent perceived social norms mediate effects of social information on charitable giving. In addition, we examine whether social information affects donors’ moods. A positive mood after donating is important to avoid negative side effects of a nudge like social information. We argue that social information increases social pressure to donate in a certain way and therefore decreases donors’ moods. In an experiment among British citizens (n = 1029), we manipulated descriptive and injunctive social information. We show that injunctive social information, mentioning the appropriate donation amount, increases donation amounts (10%) and donors’ moods (10%). Contrary to earlier research, merely stating descriptive social information did not affect the donation behavior or mood. We found no evidence that social information affects giving behavior or mood via perceived social norms. Our findings how different types of social information affect charitable giving are important for fundraisers or policy makers aiming to increase charitable behavior.

Suggested Citation

  • Claire Teunenbroek & René Bekkers & Bianca Beersma, 2021. "They ought to do it too: Understanding effects of social information on donation behavior and mood," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 18(2), pages 229-253, June.
  • Handle: RePEc:spr:irpnmk:v:18:y:2021:i:2:d:10.1007_s12208-020-00270-3
    DOI: 10.1007/s12208-020-00270-3
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    1. 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.
    2. Claire van Teunenbroek & René Bekkers, 2020. "Follow the crowd: Social information and crowdfunding donations in a large field experiment," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 3(1).
    3. Bicchieri, Cristina & Erte, Xiao, 2007. "Do the right thing: But only if others do so," MPRA Paper 4609, University Library of Munich, Germany.
    4. Clot, Sophie & Grolleau, Gilles & Ibanez, Lisette, 2018. "Shall we pay all? An experimental test of Random Incentivized Systems," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 73(C), pages 93-98.
    5. Charness, Gary & Gneezy, Uri & Halladay, Brianna, 2016. "Experimental methods: Pay one or pay all," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PA), pages 141-150.
    6. René Bekkers, 2015. "When and Why Matches Are More Effective Subsidies than Rebates," Research in Experimental Economics, in: Replication in Experimental Economics, volume 18, pages 183-211, Emerald Group Publishing Limited.
    7. Banerjee, A.V. & Besley, T., 1990. "Peer Group Externalities And The Learning Incentives: A Theory Of Nerd Behavior," Papers 68, Princeton, Woodrow Wilson School - Discussion Paper.
    8. Sasaki, Shusaku, 2019. "Majority size and conformity behavior in charitable giving: Field evidence from a donation-based crowdfunding platform in Japan," Journal of Economic Psychology, Elsevier, vol. 70(C), pages 36-51.
    9. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    10. Thöni, Christian & Volk, Stefan, 2018. "Conditional cooperation: Review and refinement," Economics Letters, Elsevier, vol. 171(C), pages 37-40.
    11. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    12. Christoph Engel, 2011. "Dictator games: a meta study," Experimental Economics, Springer;Economic Science Association, vol. 14(4), pages 583-610, November.
    13. Sarah Smith & Frank Windmeijer & Edmund Wright, 2015. "Peer Effects in Charitable Giving: Evidence from the (Running) Field," Economic Journal, Royal Economic Society, vol. 125(585), pages 1053-1071, June.
    14. Tetsuya KAWAMURA & Takanori Ida & Kazuhito Ogawa, 2018. "Simultaneous Effect of Monetary and Non-Monetary Interventions on Crowd-Funding Field Experimental Evidence:R&D in New Sources of Energy," Discussion papers e-18-005, Graduate School of Economics , Kyoto University.
    15. Andrew Meyer & Guanyi Yang, 2016. "How much versus who: which social norms information is more effective?," Applied Economics, Taylor & Francis Journals, vol. 48(5), pages 389-401, January.
    16. repec:feb:framed:0087 is not listed on IDEAS
    17. James J. Murphy & Nomin Batmunkh & Benjamin Nilsson & Samantha Ray, 2015. "The Impact of Social Information on the Voluntary Provision of Public Goods: A Replication Study," Research in Experimental Economics, in: Replication in Experimental Economics, volume 18, pages 41-50, Emerald Group Publishing Limited.
    18. Edwards, James T. & List, John A., 2014. "Toward an understanding of why suggestions work in charitable fundraising: Theory and evidence from a natural field experiment," Journal of Public Economics, Elsevier, vol. 114(C), pages 1-13.
    19. Francisco Alpizar & Fredrik Carlsson & Olof Johansson-Stenman, 2008. "Does context matter more for hypothetical than for actual contributions? Evidence from a natural field experiment," Experimental Economics, Springer;Economic Science Association, vol. 11(3), pages 299-314, September.
    20. James Andreoni & Justin M. Rao & Hannah Trachtman, 2017. "Avoiding the Ask: A Field Experiment on Altruism, Empathy, and Charitable Giving," Journal of Political Economy, University of Chicago Press, vol. 125(3), pages 625-653.
    21. Katz, Michael L & Shapiro, Carl, 1986. "Technology Adoption in the Presence of Network Externalities," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 822-841, August.
    22. Rachel Croson & Jen Shang, 2008. "The impact of downward social information on contribution decisions," Experimental Economics, Springer;Economic Science Association, vol. 11(3), pages 221-233, September.
    23. Jen Shang & Rachel Croson, 2009. "A Field Experiment in Charitable Contribution: The Impact of Social Information on the Voluntary Provision of Public Goods," Economic Journal, Royal Economic Society, vol. 119(540), pages 1422-1439, October.
    24. Conlisk, John, 1980. "Costly optimizers versus cheap imitators," Journal of Economic Behavior & Organization, Elsevier, vol. 1(3), pages 275-293, September.
    25. Steinberg, Richard S, 1987. "Voluntary Donations and Public Expenditures in a Federal System," American Economic Review, American Economic Association, vol. 77(1), pages 24-36, March.
    26. Alpizar, Francisco & Carlsson, Fredrik & Johansson-Stenman, Olof, 2008. "Full title Does Context Matter More for Hypothetical Than for Actual Contributions? Evidence from a Natural Field Experiment," RFF Working Paper Series dp-08-02-efd, Resources for the Future.
    27. Timo Goeschl & Sara Elisa Kettner & Johannes Lohse & Christiane Schwieren, 2018. "From Social Information to Social Norms: Evidence from Two Experiments on Donation Behaviour," Games, MDPI, vol. 9(4), pages 1-25, November.
    28. Kubo, Takahiro & Shoji, Yasushi & Tsuge, Takahiro & Kuriyama, Koichi, 2018. "Voluntary Contributions to Hiking Trail Maintenance: Evidence From a Field Experiment in a National Park, Japan," Ecological Economics, Elsevier, vol. 144(C), pages 124-128.
    29. Rachel Croson & Jen Shang, 2013. "Limits Of The Effect Of Social Information On The Voluntary Provision Of Public Goods: Evidence From Field Experiments," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 473-477, January.
    30. Fredrik Carlsson & Haoran He & Peter Martinsson, 2013. "Easy come, easy go," Experimental Economics, Springer;Economic Science Association, vol. 16(2), pages 190-207, June.
    31. Mingfeng Lin & Henry C. Lucas & Galit Shmueli, 2013. "Research Commentary ---Too Big to Fail: Large Samples and the p -Value Problem," Information Systems Research, INFORMS, vol. 24(4), pages 906-917, December.
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