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Thumbs down on “likes”? The impact of Facebook reactions on online consumers’ nonprofit engagement behavior

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Abstract

Businesses and marketers have long pursued users’ “likes” on Facebook, but some have doubts about the effect of the presence of Facebook reactions such as “like” and “love.” This study addresses the long-overdue question of whether the presence of social media reactions (e.g., “likes” and “loves”) influences consumer attitudes and behavioral intentions towards nonprofits after being exposed to nonprofit organizations’ (NPOs’) social media posts. This study, drawing on signaling theory, investigated the impact of social media reactions on individuals’ engagement behavior intentions toward nonprofits. The results show that a higher number of reactions is not always good. The higher number of Facebook reactions positively influence individuals’ trust, but that number showed either a negative or no effect on engagement behaviors toward nonprofits. This study has important implications for marketing practitioners, particularly in the nonprofit sector, such as being careful how they approach pursuing “likes” on social media. Facebook marketing could be used more effectively to improve social media users’ attitudes towards a nonprofit organization than to influence their engagement behavior, such as making a donation.

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References

  • Aiken, K. D., Liu, B. S., Mackoy, R. D., & Osland, G. E. (2004). Building internet trust: Signaling through trustmarks. International Journal of Internet Marketing and Advertising, 1(3), 251–267.

    Google Scholar 

  • Aiken, K. D., & Boush, D. M. (2006). Trustmarks, objective-source ratings, and implied investments in advertising: Investigating online trust and the context-specific nature of internet signals. Journal of the Academy of Marketing Science, 34(3), 308–323.

    Google Scholar 

  • Amblee, N., & Bui, T. (2011). Harnessing the influence of social proof in online shopping: The effect of electronic word of mouth on sales of digital microproducts. International Journal of Electronic Commerce, 16(2), 91–114.

    Google Scholar 

  • Atkinson, L., & Rosenthal, S. (2014). Signaling the green sell: The influence of eco-label source, argument specificity, and product involvement on consumer trust. Journal of Advertising, 43(1), 33–45.

    Google Scholar 

  • Awad, N. F., & Ragowsky, A. (2008). Establishing trust in electronic commerce through online word of mouth: An examination across genders. Journal of Management Information Systems, 24(4), 101–121.

    Google Scholar 

  • Barnes, N. G., & Andonian, J. (2011). The 2011 fortune 500 and social media adoption: Have America's largest companies reached a social media plateau. University of Massachusetts, Dartmouth. Retrieved November 10, 2020, from https://fayebsg.com/wp-content/uploads/2011/11/The-2011-Fortune-500-and-Social-Media-Adoption-Have-Americas-Largest-Companies-Reached-a-Social-Media-Plateau.pdf

  • Bellucci, M., & Manetti, G. (2017). Facebook as a tool for supporting dialogic accounting? Evidence from large philanthropic foundations in the united states. Accounting, Auditing & Accountability Journal.

  • Benlian, A., & Hess, T. (2011). The signaling role of IT features in influencing trust and participation in online communities. International Journal of Electronic Commerce, 15(4), 7–56.

    Google Scholar 

  • Bernoff, J., & Li, C. (2008). Groundswell: Winning in a world transformed by social technologies. Boston: Harvard Business Press.

    Google Scholar 

  • Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012). Evaluating online labor markets for experimental research: Amazon. com's mechanical Turk. Political Analysis, 20(3), 351–368.

    Google Scholar 

  • Beukeboom, C. J., Kerkhof, P., & de Vries, M. (2015). Does a virtual like cause actual liking? How following a brand's Facebook updates enhances brand evaluations and purchase intention. Journal of Interactive Marketing, 32, 26–36.

    Google Scholar 

  • Biswas, D., & Biswas, A. (2004). The diagnostic role of signals in the context of perceived risks in online shopping: Do signals matter more on the web? Journal of Interactive Marketing, 18(3), 30–45.

    Google Scholar 

  • Bolton, G., Loebbecke, C., & Ockenfels, A. (2008). Does competition promote trust and trustworthiness in online trading? An experimental study. Journal of Management Information Systems, 25(2), 145–170.

    Google Scholar 

  • Bortree, D. S., & Seltzer, T. (2009). Dialogic strategies and outcomes: An analysis of environmental advocacy groups’ Facebook profiles. Public Relations Review, 35(3), 317–319.

    Google Scholar 

  • Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3–5.

    Google Scholar 

  • Butcher, L. (2009). Nonprofit organizations outpace business in use of social media. Oncology Times, 31(21), 39–40.

    Google Scholar 

  • Campbell, D. A., Lambright, K. T., & Wells, C. J. (2014). Looking for friends, fans, and followers? Social media use in public and nonprofit human services. Public Administration Review, 74(5), 655–663.

    Google Scholar 

  • Chen, K. J., Kim, J., & Lin, J. S. (2015). The effects of affective and cognitive elaborations from Facebook posts on consumer attitude formation. Journal of Consumer Behaviour, 14(3), 208–218.

    Google Scholar 

  • Cheung, C. M., Xiao, B. S., & Liu, I. L. (2014). Do actions speak louder than voices? The signaling role of social information cues in influencing consumer purchase decisions. Decision Support Systems, 65, 50–58.

    Google Scholar 

  • Chang, J. B., Woo, S. L., & Cederna, P. S. (2015). Worth the “likes”? The use of Facebook among plastic surgeons and its perceived impact. Plastic and reconstructive surgery, 135(5), 909e–918e.

    Google Scholar 

  • Chaykowski, K. (2016). Facebook no longer just has A 'Like' button, thanks to global launch of Emoji 'Reactions'. Forbes. Retrieved July 09, 2020, from https://www.forbes.com/sites/kathleenchaykowski/2016/02/24/facebook-no-longer-just-has-a-like-button-thanks-to-global-launch-of-emoji-reactions/

  • Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345–354.

    Google Scholar 

  • Chintagunta, P. K., Gopinath, S., & Venkataraman, S. (2010). The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets. Marketing Science, 29(5), 944–957.

    Google Scholar 

  • Constine, J. (2019). Now Facebook says it may remove Like counts. TechCrunch. Retrieved July 04, 2020, from https://techcrunch.com/2019/09/02/facebook-hidden-likes/

  • Connelly, B. L., Certo, S. T., Ireland, R. D., & Reutzel, C. R. (2011). Signaling theory: A review and assessment. Journal of Management, 37(1), 39–67.

    Google Scholar 

  • Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98–104.

    Google Scholar 

  • Curtis, L., Edwards, C., Fraser, K. L., Gudelsky, S., Holmquist, J., Thornton, K., & Sweetser, K. D. (2010). Adoption of social media for public relations by nonprofit organizations. Public Relations Review, 36(1), 90–92.

    Google Scholar 

  • De Vries, L., Gensler, S., & Leeflang, P. S. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83–91.

    Google Scholar 

  • Ding, C., Cheng, H. K., Duan, Y., & Jin, Y. (2017). The power of the “like” button: The impact of social media on box office. Decision Support Systems, 94, 77–84.

    Google Scholar 

  • Eisend, M. (2006). Two-sided advertising: A meta-analysis. International Journal of Research in Marketing, 23(2), 187–198.

    Google Scholar 

  • Erdem, T., Keane, M. P., & Sun, B. (2008). A dynamic model of brand choice when price and advertising signal product quality. Marketing Science, 27(6), 1111–1125.

    Google Scholar 

  • Fox, J., & Moreland, J. J. (2015). The dark side of social networking sites: An exploration of the relational and psychological stressors associated with Facebook use and affordances. Computers in Human Behavior, 45, 168–176.

    Google Scholar 

  • Gomes, R. F., & Casais, B. (2018). Feelings generated by threat appeals in social marketing: Text and emoji analysis of user reactions to anorexia nervosa campaigns in social media. International Review on Public and Nonprofit Marketing, 15(4), 591–607.

    Google Scholar 

  • Gopinath, S., Thomas, J. S., & Krishnamurthi, L. (2014). Investigating the relationship between the content of online word of mouth, advertising, and brand performance. Marketing Science, 33(2), 241–258.

    Google Scholar 

  • Gunther, M. (2017). Rich charities keep getting richer. That means your money isn't doing as much good as it could. Vox. Retrieved August 06, 2020, from https://www.vox.com/the-big-idea/2017/4/24/15377056/big-charities-best-charities-evaluation-nonprofit

  • Guo, C., & Saxton, G. D. (2014). Tweeting social change: How social media are changing nonprofit advocacy. Nonprofit and Voluntary Sector Quarterly, 43(1), 57–79.

    Google Scholar 

  • Hajli, M. N. (2014). The role of social support on relationship quality and social commerce. Technological Forecasting and Social Change, 87, 17–27.

    Google Scholar 

  • He, L., Wang, M., Chen, W., & Conzelmann, G. (2014). Incorporating social impact on new product adoption in choice modeling: A case study in green vehicles. Transportation Research Part D: Transport and Environment, 32, 421–434.

    Google Scholar 

  • Head, M. M., & Hassanein, K. (2002). Trust in e-commerce: Evaluating the impact of third-party seals. Quarterly journal of electronic commerce, 3,307–326

  • Hoffman, D. L., & Fodor, M. (2010). Can you measure the ROI of your social media marketing? MIT Sloan Management Review, 52(1), 41.

    Google Scholar 

  • Hong, C., & Li, C. (2020). How to turn lurkers into donors? A study of online social support interactions between nonprofit organizations and their followers. International Review on Public and Nonprofit Marketing, 1-21.

  • Huang, Y. C., Lin, Y. P., & Saxton, G. D. (2016). Give me a like: How HIV/AIDS nonprofit organizations can engage their audience on Facebook. AIDS Education and Prevention, 28(6), 539–556.

    Google Scholar 

  • Jalilvand, M. R., & Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention. Marketing Intelligence & Planning., 30(4), 460–476.

    Google Scholar 

  • Kim, K., & Kim, J. (2011). Third-party privacy certification as an online advertising strategy: An investigation of the factors affecting the relationship between third-party certification and initial trust. Journal of Interactive Marketing, 25(3), 145–158.

    Google Scholar 

  • Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers' emotion, perceived risk and purchase intention. Journal of Research in Interactive Marketing., 7(1), 33–56.

    Google Scholar 

  • Kim, C., & Yang, S. U. (2017). Like, comment, and share on Facebook: How each behavior differs from the other. Public Relations Review, 43(2), 441–449.

    Google Scholar 

  • Kimery, K. M., & McCord, M. (2006). Signals of trustworthiness in e-commerce: Consumer understanding of third-party assurance seals. Journal of Electronic Commerce in Organizations (JECO), 4(4), 52–74.

    Google Scholar 

  • Kirmani, A., & Rao, A. R. (2000). No pain, no gain: A critical review of the literature on signaling unobservable product quality. Journal of Marketing, 64(2), 66–79.

    Google Scholar 

  • Kovar, S. E., Burke, K. G., & Kovar, B. R. (2000). Consumer responses to the CPA WEBTRUST™ assurance. Journal of information systems, 14(1), 17–35.

  • Laroche, M., Babin, B. J., Lee, Y. K., Kim, E. J., & Griffin, M. (2005). Modeling consumer satisfaction and word-of-mouth: Restaurant patronage in Korea. Journal of Services Marketing., 19(3), 133–139.

    Google Scholar 

  • Latané, B. (1981). The psychology of social impact. American Psychologist, 36(4), 343–356.

    Google Scholar 

  • Lake, A. (2011). Why Facebook fans are useless. iMedia Connection. Retrieved July 04, 2020, from https://www.imediaconnection.com/articles/ported-articles/red-dot-articles/2011/oct/why-facebook-fans-are-useless/

  • Lee, K., Lee, B., & Oh, W. (2015). Thumbs up, sales up? The contingent effect of Facebook likes on sales performance in social commerce. Journal of Management Information Systems, 32(4), 109–143.

    Google Scholar 

  • Lee-Won, R. J., Abo, M. M., Na, K., & White, T. N. (2016). More than numbers: Effects of social media virality metrics on intention to help unknown others in the context of bone marrow donation. Cyberpsychology, Behavior and Social Networking, 19(6), 404–411.

    Google Scholar 

  • Lin, K. Y., & Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152–1161.

    Google Scholar 

  • Lovejoy, K., & Saxton, G. D. (2012). Information, community, and action: How nonprofit organizations use social media. Journal of Computer-Mediated Communication, 17(3), 337–353.

    Google Scholar 

  • Lowe, S. (2017). 25 best nonprofits on social media 2017. Elevation. Retrieved July 13, 2020, from https://blog.elevationweb.org/25-best-nonprofits-social-media-2017

  • Mansfield, H. (2019). 82 Fundraising and Social Media Stats for Nonprofits. Retrieved July 04, 2020, from https://www.nptechforgood.com/2019/07/21/82-fundraising-and-social-media-stats-for-nonprofits/

  • Maslowska, E., Malthouse, E. C., & Bernritter, S. F. (2017). Too good to be true: The role of online reviews’ features in probability to buy. International Journal of Advertising, 36(1), 142–163.

    Google Scholar 

  • Mason, W., & Suri, S. (2012). Conducting behavioral research on Amazon’s mechanical Turk. Behavior Research Methods, 44(1), 1–23.

    Google Scholar 

  • Mathwick, C. (2002). Understanding the online consumer: A typology of online relational norms and behavior. Journal of Interactive Marketing, 16(1), 40–55.

    Google Scholar 

  • Mavlanova, T., Benbunan-Fich, R., & Koufaris, M. (2012). Signaling theory and information asymmetry in online commerce. Information & Management, 49(5), 240–247.

    Google Scholar 

  • Meents, S., & Verhagen, T. (2018). Reducing consumer risk in electronic marketplaces: The signaling role of product and seller information. Computers in Human Behavior, 86, 205–217.

    Google Scholar 

  • Moorthy, S., & Hawkins, S. A. (2005). Advertising repetition and quality perception. Journal of Business Research, 58(3), 354–360.

    Google Scholar 

  • Muntinga, D. G., Moorman, M., & Smit, E. G. (2011). Introducing COBRAs: Exploring motivations for brand-related social media use. International Journal of Advertising, 30(1), 13–46.

    Google Scholar 

  • Nah, S., & Saxton, G. D. (2013). Modeling the adoption and use of social media by nonprofit organizations. New Media & Society, 15(2), 294–313.

    Google Scholar 

  • Naylor, R. W., Lamberton, C. P., & West, P. M. (2012). Beyond the “like” button: The impact of mere virtual presence on brand evaluations and purchase intentions in social media settings. Journal of Marketing, 76(6), 105–120.

    Google Scholar 

  • Nowak, A., Szamrej, J., & Latané, B. (1990). From private attitude to public opinion: A dynamic theory of social impact. Psychological Review, 97(3), 362–376.

    Google Scholar 

  • Oc, B., & Bashshur, M. R. (2013). Followership, leadership and social influence. The Leadership Quarterly, 24(6), 919–934.

    Google Scholar 

  • Oh, C., Roumani, Y., Nwankpa, J. K., & Hu, H. F. (2017). Beyond likes and tweets: Consumer engagement behavior and movie box office in social media. Information & Management, 54(1), 25–37.

    Google Scholar 

  • Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010). Running experiments on amazon mechanical turk. Judgment and Decision making, 5(5), 411–419.

    Google Scholar 

  • Park, H., Reber, B. H., & Chon, M. G. (2016). Tweeting as health communication: Health organizations’ use of twitter for health promotion and public engagement. Journal of Health Communication, 21(2), 188–198.

    Google Scholar 

  • Pew Research Center. (2020). Demographics of social media users and adoption in the United States. Retrieved November 04, 2020, from https://www.pewresearch.org/internet/fact-sheet/social-media/

  • Phua, J., & Ahn, S. J. (2016). Explicating the ‘like’ on Facebook brand pages: The effect of intensity of Facebook use, number of overall ‘likes’, and number of friends’ ‘likes’ on consumers' brand outcomes. Journal of Marketing Communications, 22(5), 544–559.

    Google Scholar 

  • Purohit, D., & Srivastava, J. (2001). Effect of manufacturer reputation, retailer reputation, and product warranty on consumer judgments of product quality: A cue diagnosticity framework. Journal of Consumer Psychology, 10(3), 123–134.

    Google Scholar 

  • Rao, A. R., Qu, L., & Ruekert, R. W. (1999). Signaling unobservable product quality through a brand ally. Journal of Marketing Research, 36(2), 258–268.

    Google Scholar 

  • Riasanow, T., Ye, H. J., & Goswami, S. (2015). Generating trust in online consumer reviews through signaling: An experimental study. In 2015 48th Hawaii International Conference on System Sciences (pp. 3307-3316). IEEE.

  • Richard, J. E., & Guppy, S. (2014). Facebook: Investigating the influence on consumer purchase intention. Asian Journal of Business Research, 4(2), 1–10.

    Google Scholar 

  • Rifon, N. J., LaRose, R., & Choi, S. M. (2005). Your privacy is sealed: Effects of web privacy seals on trust and personal disclosures. Journal of Consumer Affairs, 39(2), 339–362.

    Google Scholar 

  • Ringelhan, S., Wollersheim, J., & Welpe, I. M. (2015). I like, I cite? Do Facebook likes predict the impact of scientific work? PLoS One, 10(8), e0134389.

    Google Scholar 

  • Ryan, D., & Jones, C. (2012). Understanding digital marketing–marketing strategies for engaging the digital generation (2nd ed.). Philadelphia: Kogan Page.

    Google Scholar 

  • Salganik, M. J., Dodds, P. S., & Watts, D. J. (2006). Experimental study of inequality and unpredictability in an artificial cultural market. Science, 311(5762), 854–856.

    Google Scholar 

  • Saxton, G. D., & Wang, L. (2014). The social network effect: The determinants of giving through social media. Nonprofit and Voluntary Sector Quarterly, 43(5), 850–868.

    Google Scholar 

  • Saxton, G. D., & Waters, R. D. (2014). What do stakeholders like on Facebook? Examining public reactions to nonprofit organizations’ informational, promotional, and community-building messages. Journal of Public Relations Research, 26(3), 280–299.

    Google Scholar 

  • Schöndienst, V., Kulzer, F., & Günther, O. (2012). Like versus dislike: How Facebook’s like-button influences people’s perception of product and service quality. Proceedings from Thirty Third International Conference on Information Systems. Retrieved from http://aisel.aisnet.org/icis2012/proceedings/ DigitalInnovation/4/.

  • Schleider, J. L., & Weisz, J. R. (2015). Using mechanical Turk to study family processes and youth mental health: A test of feasibility. Journal of Child and Family Studies, 24(11), 3235–3246.

    Google Scholar 

  • Smith, J. N. (2018). The social network?: Nonprofit constituent engagement through social media. Journal of Nonprofit & Public Sector Marketing, 30(3), 294–316.

    Google Scholar 

  • Spence, A. M. (1973). Job Market Signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010.

    Article  Google Scholar 

  • Spence, M. (2002). Signaling in retrospect and the informational structure of markets. American Economic Review, 92(3), 434–459.

    Google Scholar 

  • Stanaland, A. J., Lwin, M. O., & Miyazaki, A. D. (2011). Online privacy trustmarks: Enhancing the perceived ethics of digital advertising. Journal of Advertising Research, 51(3), 511–523.

    Google Scholar 

  • Stern, I., Dukerich, J. M., & Zajac, E. (2014). Unmixed signals: How reputation and status affect alliance formation. Strategic Management Journal, 35(4), 512–531.

    Google Scholar 

  • Taj, S. A. (2016). Application of signaling theory in management research: Addressing major gaps in theory. European Management Journal, 34(4), 338–348.

    Google Scholar 

  • Tong, S. T., Van Der Heide, B., Langwell, L., & Walther, J. B. (2008). Too much of a good thing? The relationship between number of friends and interpersonal impressions on Facebook. Journal of Computer-Mediated Communication, 13(3), 531–549.

    Google Scholar 

  • U.S. Bureau of Labor statistics. (2016). Volunteering in the United States, 2015. Retrieved November 07, 2020, from https://www.bls.gov/news.release/volun.nr0.htm

  • Utz, S., Kerkhof, P., & Van Den Bos, J. (2012). Consumers rule: How consumer reviews influence perceived trustworthiness of online stores. Electronic Commerce Research and Applications, 11(1), 49–58.

    Google Scholar 

  • Van Wissen, N., & Wonneberger, A. (2017). Building stakeholder relations online: How nonprofit organizations use dialogic and relational maintenance strategies on Facebook. Communication Management Review, 2(01), 54–74.

    Google Scholar 

  • Walther, J. B., & Parks, M. R. (2002). Cues filtered out, cues filtered in. Handbook of interpersonal communication, 3, 529–563.

    Google Scholar 

  • Wang, S., Beatty, S. E., & Foxx, W. (2004). Signaling the trustworthiness of small online retailers. Journal of Interactive Marketing, 18(1), 53–69.

    Google Scholar 

  • Waters, R. D., Burnett, E., Lamm, A., & Lucas, J. (2009). Engaging stakeholders through social networking: How nonprofit organizations are using Facebook. Public Relations Review, 35(2), 102–106.

    Google Scholar 

  • Waters, R. D., & Jamal, J. Y. (2011). Tweet, tweet, tweet: A content analysis of nonprofit organizations’ twitter updates. Public Relations Review, 37(3), 321–324.

    Google Scholar 

  • Wells, J. D., Valacich, J. S., & Hess, T. J. (2011). What signal are you sending? How website quality influences perceptions of product quality and purchase intentions. MIS quarterly, 373–396.

  • Williams, O. (2018). Should you stop donating to big charities? Forbes. Retrieved August 06, 2020, from https://www.forbes.com/sites/oliverwilliams1/2018/11/29/should-you-stop-donating-to-big-charities/

  • Wu, J., Wu, Y., Sun, J., & Yang, Z. (2013). User reviews and uncertainty assessment: A two stage model of consumers' willingness-to-pay in online markets. Decision Support Systems, 55(1), 175–185.

    Google Scholar 

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Han, M.C. Thumbs down on “likes”? The impact of Facebook reactions on online consumers’ nonprofit engagement behavior. Int Rev Public Nonprofit Mark 18, 255–272 (2021). https://doi.org/10.1007/s12208-020-00271-2

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