Understanding Content Contribution Behavior in a Geosegmented Mobile Virtual Community: The Context of Waze

Published Online:https://doi.org/10.1287/isre.2020.0951

References

  • Anderson A, Huttenlocher D, Kleinberg J, Leskovec J (2013) Steering user behavior with badges. Proc. 22nd Internat. Conf. World Wide Web (ACM, New York), 95–106.Google Scholar
  • Andreoni J (1988) Why free ride? Strategies and learning in public goods experiments. J. Public Econom. 37(3):291–304.CrossrefGoogle Scholar
  • Andreoni J (1989) Giving with impure altruism: Applications to charity and Ricardian equivalence. J. Political Econom. 97(6):1447–1458.CrossrefGoogle Scholar
  • Andreoni J (1990) Impure altruism and donations to public goods: A theory of warm-glow giving. Econom. J. 100(401):464–477.CrossrefGoogle Scholar
  • Andreoni J (2007) Giving gifts to groups: How altruism depends on the number of recipients. J. Public Econom. 91(9):1731–1749.CrossrefGoogle Scholar
  • Andrews M, Luo X, Fang Z, Ghose A (2016) Mobile ad effectiveness: Hyper-contextual targeting with crowdedness. Marketing Sci. 35(2):218–233.LinkGoogle Scholar
  • Animesh A, Pinsonneault A, Yang S, Oh W (2011) An odyssey into virtual worlds: Exploring the impacts of technological and spatial environments on intention to purchase virtual products. MIS Quart. 35(3):789–810.CrossrefGoogle Scholar
  • Ariely D, Bracha A, Meier S (2009) Doing good or doing well? Image motivation and monetary incentives in behaving prosocially. Amer. Econom. Rev. 99(1):544–555.CrossrefGoogle Scholar
  • Athey S, Ellison G (2014) Dynamics of open source movements. J. Econom. Management Strategy 23(2):294–316.CrossrefGoogle Scholar
  • Barron G, Yechiam E (2002) Private email requests and the diffusion of responsibility. Comput. Human Behav. 18(5):507–520.CrossrefGoogle Scholar
  • Benford S, Greenhalgh C, Snowdon D, Bullock A (1997) Staging a public poetry performance in a collaborative virtual environment. Proc. 5th Eur. Conf. Comput. Supported Cooperative Work (Springer, Dordrecht, Netherlands), 125–140.Google Scholar
  • Benkler Y (2006) The Wealth of Networks: How Social Production Transforms Markets and Freedom (Yale University Press, New Haven, CT).Google Scholar
  • Blair CA, Thompson LF, Wuensch KL (2005) Electronic helping behavior: The virtual presence of others makes a difference. Basic Appl. Soc. Psych. 27(2):171–178.CrossrefGoogle Scholar
  • Blanchard A, Horan T (1998) Virtual communities and social capital. Soc. Sci. Comput. Rev. 16(3):293–307.CrossrefGoogle Scholar
  • Chen Y, Harper FM, Konstan J, Li SX (2010) Social comparisons and contributions to online communities: A field experiment on MovieLens. Amer. Econom. Rev. 100(4):1358–1398.CrossrefGoogle Scholar
  • Deci EL, Koestner R, Ryan RM (1999) A meta-analytic review of experiments examining the effect of extrinsic rewards on intrinsic motivation. Psych. Bull. 125(6):627–668.CrossrefGoogle Scholar
  • Duncan B (2004) A theory of impact philanthropy. J. Public Econom. 88(9):2159–2180.CrossrefGoogle Scholar
  • Elhorst JP (2014) Spatial Econometrics: From Cross-Sectional Data to Spatial Panels (Springer, Heidelberg, Germany).CrossrefGoogle Scholar
  • Fischer P, Krueger JI, Greitemeyer T, Vogrincic C, Kastenmüller A, Frey D, Heene M, Wicher M, Kainbacher M (2011) The bystander-effect: A meta-analytic review on bystander intervention in dangerous and non-dangerous emergencies. Psych. Bull. 137(4):517–537.CrossrefGoogle Scholar
  • Gallus J (2017) Fostering public good contributions with symbolic awards: A large-scale natural field experiment at Wikipedia. Management Sci. 63(12):3999–4015.LinkGoogle Scholar
  • Ghose A, Han SP (2011) An empirical analysis of user content generation and usage behavior on the mobile internet. Management Sci. 57(9):1671–1691.LinkGoogle Scholar
  • Ghose A, Han SP (2014) Estimating demand for mobile applications in the new economy. Management Sci. 60(6):1470–1488.LinkGoogle Scholar
  • Ghose A, Goldfarb A, Han SP (2013) How is the mobile internet different? Search costs and local activities. Inform. Systems Res. 24(3):613–631.LinkGoogle Scholar
  • Gneezy U, Meier S, Rey-Biel P (2011) When and why incentives (don’t) work to modify behavior. J. Econom. Perspect. 25(4):191–210.CrossrefGoogle Scholar
  • Goes P, 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 P, Lin M, Au Yeung C-M (2014) “Popularity effect” in user-generated content: Evidence from online product reviews. Inform. Systems Res. 25(2):222–238.LinkGoogle Scholar
  • Han SP, Park S, Oh W (2016) Mobile app analytics: A multiple discrete-continuous choice framework. MIS Quart. 40(4):983–1008.CrossrefGoogle Scholar
  • Hann I-H, Roberts JA, Slaughter SA (2013) All are not equal: An examination of the economic returns to different forms of participation in open source software communities. Inform. Systems Res. 24(3):520–538.LinkGoogle Scholar
  • Harbaugh WT (1998) What do donations buy? A model of philanthropy based on prestige and warm glow. J. Public Econom. 67(2):267–284.Google Scholar
  • Hars A, Ou S (2001) Working for free? Motivations of participating in open source projects. Proc.34th Annual Hawaiian Internat. Conf. System Sci. (IEEE, Piscataway, NJ), 1–9.Google Scholar
  • Haviland A, Nagin DS, Rosenbaum PR (2007) Combining propensity score matching and group-based trajectory analysis in an observational study. Psych. Methods 12(3):247–267.CrossrefGoogle Scholar
  • Heckman JJ (1979) Sample selection bias as a specification error. Econometrica 47(1):153–161.CrossrefGoogle Scholar
  • Horton JJ, Chilton LB (2010) The labor economics of paid crowdsourcing. Proc. 11th ACM Conf. Electronic Commerce (ACM, New York), 209–218.Google Scholar
  • Howe J (2008) Crowdsourcing: How the Power of the Crowd Is Driving the Future of Business (Random House, New York).Google Scholar
  • Huang N, Burtch G, Gu B, Hong Y, Liang C, Wang K, Fu D, Yang B (2019) Motivating user-generated content with performance feedback: Evidence from randomized field experiments. Management Sci. 65(1):327–345.LinkGoogle Scholar
  • Isaac RM, Walker JM (1988) Group size effects in public goods provision: The voluntary contributions mechanism. Quart. J. Econom. 103(1):179–199.CrossrefGoogle Scholar
  • Kane GC (2011) A multimethod study of information quality in wiki collaboration. ACM Trans. Management Inform. Systems 2(1):1–16.Google Scholar
  • King G, Nielsen R (2019) Why propensity scores should not be used for matching. Political Anal. 27(4):435–454.CrossrefGoogle Scholar
  • Kuntzman G (2019) Report shows why the congestion pricing fee must be really high. Streetsblog NYC (September 17), https://nyc.streetsblog.org/2019/09/17/report-shows-why-the-congestion-pricing-fee-must-be-really-high/.Google Scholar
  • Lakhani KL, Panetta J (2007) Principles of distributed innovation. Innovations 2(3):97–112.CrossrefGoogle Scholar
  • Latané B, Nida S (1981) Ten years of research on group size and helping. Psych. Bull. 89(2):308–324.CrossrefGoogle Scholar
  • Lerner J, Tirole J (2002) Some simple economics of open source. J. Indust. Econom. 50(2):197–234.CrossrefGoogle Scholar
  • Luo X, Andrews M, Fang Z, Phang CW (2014) Mobile targeting. Management Sci. 60(7):1738–1756.LinkGoogle 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
  • Nagaraj A (2019) Information seeding and knowledge production in online communities: Evidence from OpenStreetMap. Working paper, University of California, Berkeley, Berkeley.Google Scholar
  • Nagaraj A, Piezunka H (2018) Deterring the new, motivating the established—The divergent effect of platform competition on member contributions in digital mapping communities. INSEAD Working Paper No. 2018/05/EFE, INSEAD, Fontainebleau, France.Google Scholar
  • Peng J, Agarwal A, Hosanagar K, Iyengar R (2018) Network overlap and content sharing on social media platforms. J. Marketing Res. 55(4):571–585.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
  • Roberts JA, Han IH, Slaughter SA (2006) Understanding the motivations, participation, and performance of open source software developers: A longitudinal study of the Apache Projects. Management Sci. 52(7):984–999.LinkGoogle 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
  • Smith C (2020) 15 interesting Waze statistics and facts (2020): By the numbers. Digital Marketing Ramblings (July 1), https://expandedramblings.com/index.php/waze-statistics-facts/.Google Scholar
  • Stokols D (1972) On the distinction between density and crowding: Some implications for future research. Psych. Rev. 79(3):275–277.CrossrefGoogle Scholar
  • Sun Y, Dong X, McIntyre S (2017) Motivation of user-generated content: Social connectedness moderates the effects of monetary rewards. Marketing Sci. 36(3):329–337.LinkGoogle 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):368–392.LinkGoogle Scholar
  • von Krogh G, Spaeth S, Lakhani KR (2003) Community, joining, and specialization in open source software innovation: A case study. Res. Policy 32(7):1217–1241.CrossrefGoogle Scholar
  • Vuong QH (1989) Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica 57(2):307–333.CrossrefGoogle Scholar
  • Xu K, Chan J, Ghose A, Han SP (2017) Battle of the channels: The impact of tablets on digital commerce. Management Sci. 63(5):1469–1492.LinkGoogle Scholar
  • Xu J, Forman C, Kim JB, Van Ittersum K (2014) News media channels: Complements or substitutes? Evidence from mobile phone usage. J. Marketing 78(July):97–112.CrossrefGoogle Scholar
  • Zhang XM, Zhu F (2011) Group size and incentives to contribute: A natural experiment at Chinese Wikipedia. Amer. Econom. Rev. 101(June):1601–1615.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.