Consequences of Information Feed Integration on User Engagement and Contribution: A Natural Experiment in an Online Knowledge-Sharing Community

Published Online:https://doi.org/10.1287/isre.2022.0043

References

  • Aggarwal P, McGill AL (2007) Is that car smiling at me? Schema congruity as a basis for evaluating anthropomorphized products. J. Consumer Res. 34(4):468–479.CrossrefGoogle Scholar
  • Agnew JR, Szykman LR (2005) Asset allocation and information overload: The influence of information display, asset choice, and investor experience. J. Behav. Finance 6(2):57–70.CrossrefGoogle Scholar
  • Alba JW, Hasher L (1983) Is memory schematic? Psych. Bull. 93(2):203–231.CrossrefGoogle Scholar
  • Anderson ML (2014) Subways, strikes, and slowdowns: The impacts of public transit on traffic congestion. Amer. Econom. Rev. 104(9):2763–2796.CrossrefGoogle Scholar
  • Ask K, Granhag PA (2005) Motivational sources of confirmation bias in criminal investigations: The need for cognitive closure. J. Investigative Psych. Offender Profiling 2(1):43–63.CrossrefGoogle Scholar
  • Auffhammer M, Kellogg R (2011) Clearing the air? The effects of gasoline content regulation on air quality. Amer. Econom. Rev. 101(6):2687–2722.CrossrefGoogle Scholar
  • Axelrod R (1973) Schema theory: An information processing model of perception and cognition. Amer. Political Sci. Rev. 67(4):1248–1266.CrossrefGoogle Scholar
  • Baek J, Shore J (2020) Forum size and content contribution per person: A field experiment. Management Sci. 66(12):5485–6064.Google Scholar
  • Bapna R, Ramaprasad J, Umyarov A (2018) Monetizing freemium communities: Does paying for premium increase social engagement? MIS Quart. 42(3):719–735.CrossrefGoogle Scholar
  • Bartlett F (1932) Remembering: A Study in Experimental and Social Psychology (Cambridge University Press, London).Google Scholar
  • Belk RW (2013) Extended self in a digital world. J. Consumer Res. 40(3):477–500.CrossrefGoogle Scholar
  • Bettman JR, Kakkar P (1977) Effects of information presentation format on consumer information acquisition strategies. J. Consumer Res. 3(4):233–240.CrossrefGoogle Scholar
  • Bettman JR, Johnson EJ, Payne JW (1991) Consumer decision making. Robertson TS, Kassarjian HH, eds. Handbook of Consumer Behaviour (Prentice-Hall, Englewood Cliffs, NJ) 50–84.Google Scholar
  • Bonaccorsi A, Giannangeli S, Rossi C (2006) Entry strategies under competing standards: Hybrid business models in the open source software industry. Management Sci. 52(7):1085–1098.LinkGoogle Scholar
  • Bullingham L, Vasconcelos AC (2013) ‘The presentation of self in the online world’: Goffman and the study of online identities. J. Inform. Sci. 39(1):101–112.CrossrefGoogle Scholar
  • Burtch G, Hong Y, Bapna R, Griskevicius V (2017) Stimulating online reviews by combining financial incentives and social norms. Management Sci. 64(5):2065–2082.LinkGoogle Scholar
  • Chen W, Wei X, Zhu K (2018) Engaging voluntary contributions in online communities: A hidden Markov model. MIS Quart. 42(1):83–100.CrossrefGoogle Scholar
  • Chen X, Forman C, Kummer M (2021) Chat more and contribute better: An empirical study of a knowledge-sharing community. Preprint, https://ssrn.com/abstract=3906520.Google Scholar
  • Chen Y, Cheng HK, Liu Y, Pu J, Qiu L, Wang N (2022) Knowledge-sharing ties and equivalence in corporate online communities: A novel source to understand voluntary turnover. Production Oper. Management 31(10):3896–3913.CrossrefGoogle Scholar
  • Davis LW (2008) The effect of driving restrictions on air quality in Mexico City. J. Political Econom. 116(1):38–81.CrossrefGoogle Scholar
  • Engel JF, Kollat DT, Blackwell RD (1968) Consumer Behavior (Holt, Rinehart, and Winston Place, New York).Google Scholar
  • Esfandiari M, Borromeo RM, Nikookar S, Sakharkar P, Amer-Yahia S, Roy SB (2021) Multi-session diversity to improve user satisfaction in web applications. Proc. Web Conf. 2021 (Association for Computing Machinery, New York), 1928–1936.Google Scholar
  • Fang X, Hu PJ-H, Chau M, Hu H-F, Yang Z, Liu Sheng OR (2012) A data-driven approach to measure website navigability. J. Management Inform. Systems 29(2):173–212.CrossrefGoogle Scholar
  • Festinger L (1957) A Theory of Cognitive Dissonance, vol. 2 (Stanford University Press, Redwood City, CA).CrossrefGoogle Scholar
  • Fleming JH, Darley JM, Hilton JL, Kojetin BA (1990) Multiple audience problem: A strategic communication perspective on social perception. J. Personality Soc. Psych. 58(4):593–609.CrossrefGoogle Scholar
  • French II RP (2016) The fuzziness of mindsets: Divergent conceptualizations and characterizations of mindset theory and praxis. Internat. J. Organ. Anal. 24(4):673–691.CrossrefGoogle Scholar
  • Gil-Lopez T, Shen C, Benefield GA, Palomares NA, Kosinski M, Stillwell D (2018) One size fits all: Context collapse, self-presentation strategies and language styles on Facebook. J. Comput. Mediat. Comm. 23(3):127–145.CrossrefGoogle Scholar
  • Goes PB, Guo C, Lin M (2016) Do incentive hierarchies induce user effort? Evidence from an online knowledge exchange. Inform. Systems Res. 27(3):497–516.LinkGoogle Scholar
  • Goes PB, Lin M, Au Yeung CM (2014) “Popularity effect” in user-generated content: Evidence from online product reviews. Inform. Systems Res. 25(2):222–238.LinkGoogle Scholar
  • Goffman E (1978) The Presentation of Self in Everyday Life, vol. 21 (Harmondsworth, London).Google Scholar
  • Goodman LA (1961) Snowball sampling. Ann. Math. Statist. 32(1):148–170.CrossrefGoogle Scholar
  • Hamilton R, Vohs KD, Sellier A-L, Meyvis T (2011) Being of two minds: Switching mindsets exhausts self-regulatory resources. Organ. Behav. Human Decision Processes 115(1):13–24.CrossrefGoogle Scholar
  • Hausman C, Rapson DS (2018) Regression discontinuity in time: Considerations for empirical applications. Annual Rev. Resour. Econom. 10:533–552.CrossrefGoogle Scholar
  • Hogan B (2010) The presentation of self in the age of social media: Distinguishing performances and exhibitions online. Bull. Sci. Tech. Soc. 30(6):377–386.CrossrefGoogle Scholar
  • Huang N, Hong Y, Burtch G (2017) Social network integration and user content generation: Evidence from natural experiments. MIS Quart. 41(4):1035–1058.CrossrefGoogle Scholar
  • Ives B, Hamilton S, Davis GB (1980) A framework for research in computer-based management information systems. Management Sci. 26(9):910–934.LinkGoogle Scholar
  • Kahneman D (1973) Attention and Effort (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
  • Kahneman D (2011) Thinking, Fast and Slow (Macmillan, New York).Google Scholar
  • Kim A, Dennis AR (2019) Says who? The effects of presentation format and source rating on fake news in social media. MIS Quart. 43(3):1025–1039.CrossrefGoogle Scholar
  • Kim D, Seo D, Cho S, Kang P (2019) Multi-co-training for document classification using various document representations: TF–IDF, LDA, and Doc2Vec. Inform. Sci. 477:15–29.CrossrefGoogle Scholar
  • Kruglanski AW, Jasko K, Milyavsky M, Chernikova M, Webber D, Pierro A, Di Santo D (2018) Cognitive consistency theory in social psychology: A paradigm reconsidered. Psych. Inquiry 29(2):45–59.CrossrefGoogle Scholar
  • Kuang L, Huang N, Hong Y, Yan Z (2019) Spillover effects of financial incentives on non-incentivized user engagement: Evidence from an online knowledge exchange platform. J. Management Inform. Systems 36(1):289–320.CrossrefGoogle Scholar
  • Le Q, Mikolov T (2014) Distributed representations of sentences and documents. Internat. Conf. Machine Learn. (PMLR, New York), 1188–1196.Google Scholar
  • Lee AY, Keller PA, Sternthal B (2010) Value from regulatory construal fit: The persuasive impact of fit between consumer goals and message concreteness. J. Consumer Res. 36(5):735–747.CrossrefGoogle Scholar
  • Lee DS, Lemieux T (2010) Regression discontinuity designs in economics. J. Econom. Lit. 48(2):281–355.CrossrefGoogle Scholar
  • Lee S-Y, Qiu L, Whinston A (2018) Sentiment manipulation in online platforms: An analysis of movie tweets. Production Oper. Management 27(3):393–416.CrossrefGoogle Scholar
  • Lee Y-J, Hosanagar K, Tan Y (2015) Do I follow my friends or the crowd? Information cascades in online movie ratings. Management Sci. 61(9):2241–2258.LinkGoogle Scholar
  • Lou J, Fang Y, Lim KH, Peng JZ (2013) Contributing high quantity and quality knowledge to online Q&A communities. J. Amer. Soc. Inform. Sci. Tech. 64(2):356–371.CrossrefGoogle Scholar
  • Ma M, Agarwal R (2007) Through a glass darkly: Information technology design, identity verification, and knowledge contribution in online communities. Inform. Systems Res. 18(1):42–67.LinkGoogle Scholar
  • Maines LA, McDaniel LS (2000) Effects of comprehensive-income characteristics on nonprofessional investors’ judgments: The role of financial-statement presentation format. Accounting Rev. 75(2):179–207.CrossrefGoogle Scholar
  • Marder B, Joinson A, Shankar A, Thirlaway K (2016) Strength matters: Self-presentation to the strongest audience rather than lowest common denominator when faced with multiple audiences in social network sites. Comput. Human Behav. 61:56–62.CrossrefGoogle Scholar
  • Marwick AE, Boyd D (2011) I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience. New Media Soc. 13(1):114–133.CrossrefGoogle Scholar
  • Meyers-Levy J, Tybout AM (1989) Schema congruity as a basis for product evaluation. J. Consumer Res. 16(1):39–54.CrossrefGoogle Scholar
  • Moe WW, Trusov M (2011) The value of social dynamics in online product ratings forums. J. Marketing Res. 48(3):444–456.CrossrefGoogle Scholar
  • Nisbett RE, Zukier H, Lemley RE (1981) The dilution effect: Nondiagnostic information weakens the implications of diagnostic information. Cognit. Psych. 13(2):248–277.CrossrefGoogle Scholar
  • Palmer JW (2002) Website usability, design, and performance metrics. Inform. Systems Res. 13(2):151–167.LinkGoogle Scholar
  • Pu J, Chen Y, Qiu L, Cheng HK (2020) Does identity disclosure help or hurt user content generation? Social presence, inhibition, and displacement effects. Inform. Systems Res. 31(2):297–322.LinkGoogle Scholar
  • Pullig C, Simmons CJ, Netemeyer RG (2015) Brand dilution: When do new brands hurt existing brands? J. Marketing 70(2):52–66.CrossrefGoogle Scholar
  • Qiu L, Kumar S (2017) Understanding voluntary knowledge provision and content contribution through a social-media-based prediction market: A field experiment. Inform. Systems Res. 28(3):529–546.LinkGoogle Scholar
  • Schau HJ, Gilly MC (2003) We are what we post? Self-presentation in personal web space. J. Consumer Res. 30(3):385–404.CrossrefGoogle Scholar
  • Schlosser AE (2005) Posting vs. lurking: Communicating in a multiple audience context. J. Consumer Res. 32(2):260–265.CrossrefGoogle Scholar
  • Schulze C, Scholer L, Skiera B (2014) Not all fun and games: Viral marketing for utilitarian products. J. Marketing 78(1):1–19.CrossrefGoogle Scholar
  • Shanteau J (1975) Averaging vs. multiplying combination rules of inference judgment. Acta Psych. (Amsterdam) 39:83–89.CrossrefGoogle Scholar
  • Shen W, Hu YJ, Ulmer JR (2015) Competing for attention: An empirical study of online reviewers’ strategic behavior. MIS. Quart. 39(3):683–696.CrossrefGoogle Scholar
  • Shriver SK, Nair HS, Hofstetter R (2013) Social ties and user-generated content: Evidence from an online social network. Management Sci. 59(6):1425–1443.LinkGoogle Scholar
  • Song T, Tang Q, Huang J (2019) Triadic closure, homophily, and reciprocation: An empirical investigation of social ties between content providers. Inform. Systems Res. 30(3):912–926.LinkGoogle Scholar
  • Speier C, Valacich JS, Vessey I (1999) The influence of task interruption on individual decision making: An information overload perspective. Decision Sci. 30(2):337–360.CrossrefGoogle Scholar
  • Speier C, Vessey I, Valacich JS (2003) The effects of interruptions, task complexity, and information presentation on computer-supported decision-making performance. Decision Sci. 34(4):771–797.CrossrefGoogle Scholar
  • Toubia O, Stephen AT (2013) Intrinsic vs. image-related utility in social media: Why do people contribute content to Twitter? Marketing Sci. 32(3):365–531.LinkGoogle Scholar
  • von Krogh G, Haefliger S, Spaeth S, Wallin MW (2012) Carrots and rainbows: Motivation and social practice in open source software development. MIS Quart. 36(2):649–676.CrossrefGoogle Scholar
  • Wang J, Li G, Hui K-L (2022) Monetary incentives and knowledge spillover: Evidence from a natural experiment. Management Sci. 68(5):3549–3572.LinkGoogle Scholar
  • Wasko MM, Faraj S (2005) Why should i share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quart. 29(1):35–57.CrossrefGoogle Scholar
  • Wheeler SC, Petty RE, Bizer GY (2005) Self-schema matching and attitude change: Situational and dispositional determinants of message elaboration. J. Consumer Res. 31(4):787–797.CrossrefGoogle Scholar
  • Wooldridge JM (2010) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, MA).Google Scholar
  • Wu L (2013) Social network effects on productivity and job security: Evidence from the adoption of a social networking tool. Inform. Systems Res. 24(1):30–51.LinkGoogle Scholar
  • Wu Z, Zhou K, Liu Y, Zhang M, Ma S (2019) Does diversity affect user satisfaction in image search. ACM Trans. Inform. Systems 37(3):1–30.CrossrefGoogle Scholar
  • Xu L, Nian T, Cabral L (2020) What makes geeks tick? A study of stack overflow careers. Management Sci. 66(2):587–604.LinkGoogle Scholar
  • Yaari E, Baruchson-Arbib S, Bar-Ilan J (2011) Information quality assessment of community-generated content – a user study of Wikipedia. J. Inform. Sci. 37(5):487–498.CrossrefGoogle Scholar
  • Yan J, Zhang N-N, Xu D-X (2018) Mindset switching increases the use of ‘want-based’ over ‘should-based’ behaviors. PLoS One 13(4):e0196269–e0196269.CrossrefGoogle Scholar
  • Zhang XM, Zhu F (2011) Group size and incentives to contribute: A natural experiment at Chinese Wikipedia. Amer. Econom. Rev. 101(4):1601–1615.CrossrefGoogle Scholar
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