A Network Perspective of Digital Competition in Online Advertising Industries: A Simulation-Based Approach

Published Online:https://doi.org/10.1287/isre.1100.0302

References

  • Abrahamson E., Rosenkopf L. Social network effects on the extent of innovation diffusion: A computer simulation. Organ. Sci. (1997) 8(3):289–309LinkGoogle Scholar
  • Bampo M., Ewing T. E. M. T., Mather D. R., Stewart D., Wallace M. The effects of the social structure of digital networks on viral marketing performance. Inform. Systems Res. (2008) 19(3):273–290LinkGoogle Scholar
  • Banerjee A. A simple model of herd behavior. Quart. J. Econom (1992) 107(3):797–817CrossrefGoogle Scholar
  • Bansal S., Taylor S. F., Noble Charles H. Beyond service quality and customer satisfaction: Investigating additional antecedents of service-provider switching intentions. Developments in Marketing Science 22 (1999) (Coral Gables, FL) 75–82Google Scholar
  • Barabási A., Albert R. Emergence of scaling in random networks. Science (1999) 286(5439):509–512CrossrefGoogle Scholar
  • Bikhchandani S., Hirshleifer D., Welch I. A theory of fads, fashion, custom, and cultural change as informational cascade. J. Political Econom. (1992) 100(5):992–1026CrossrefGoogle Scholar
  • Bourgeois L. J., Eisenhardt K. M. Strategic decision processes in high velocity environments: Four cases in the microcomputer industry. Management Sci. (1988) 34(7):816–835LinkGoogle Scholar
  • Brynjolfsson E., Kahin B.Understanding the Digital Economy: Data, Tools, and Research (2000) (MIT, Cambridge, MA) CrossrefGoogle Scholar
  • Canina L., Enz C. A., Harrison J. S. Agglomeration effects and strategic orientations: Evidence from the U.S. lodging industry. Acad. Management J. (2005) 48(4):565–581CrossrefGoogle Scholar
  • Carley K. M. A comparison of artificial and human organizations. J. Econom. Behav. Organ. (1996) 31(2):175–191CrossrefGoogle Scholar
  • Carley K. M., Lievrouw L., Livingstone S. Smart agents and organizations of the future. The Handbook of New Media (2002) (Sage, Thousand Oaks, CA) 206–220Google Scholar
  • Carley K. M. ORA 2.0. (2010) . Center for Computational Analysis of Social and Organizational Systems (CASOS), Institute for Software Research International (ISRI), Carnegie Mellon University, PittsburghGoogle Scholar
  • Chen P., Hitt L. M. Measuring switching costs and the determinants of customer retention in Internet-enabled businesses: A study of the online brokerage industry. Inform. Systems Res. (2002) 3(3):255–274LinkGoogle Scholar
  • Cialdini R. B., Goldstein N. J. Social influence: Compliance and conformity. Annual Rev. Psychol. (2004) 55:591–621CrossrefGoogle Scholar
  • Cialdini R. B., Trost M. R., Gilbert D., Fiske S., Lindzey G. Social influence: Social norms, conformity, and compliance. The Handbook of Social Psychology (1998) 24th ed.(McGraw-Hill, New York) 151–192Google Scholar
  • D'Aveni R. A.Hypercompetition: Managing the Dynamics of Strategic Maneuvering (1994) (Free Press, New York) Google Scholar
  • Dellarocas C. The digitization of word-of-mouth: Promise and challenges of online reputation systems. Management Sci. (2003) 49(10):1407–1424LinkGoogle Scholar
  • Dellarocas C. Reputation mechanism design in online trading environments with pure moral hazard. Inform. Systems Res. (2005) 16(2):209–230LinkGoogle Scholar
  • Delre S. A., Jager W., Janssen M. Diffusion dynamics in small-world networks with heterogeneous consumers. Comput. Math. Organ. Theory (2007) 13(2):185–202CrossrefGoogle Scholar
  • Deutsch M., Gerard H. B. A study of normative and informational social influences upon individual judgment. J. Abnorm. Soc. Psychol. (1955) 51(3):629–636CrossrefGoogle Scholar
  • Edwards D. Conglomerate bigness as a source of power. National Bureau of Economic Research (1955) (Princeton University Press, Princeton, NJ) 331–359Google Scholar
  • Erdos P., Renyi A. On the evolution of random graphs. Publications Math. Instit. Hungarian Acad. Sci. (1960) 5(A):17–61Google Scholar
  • Ferrier W. J., Smitch K. G., Grimm C. The role of competitive action in market share erosion and industry dethronement: A study of industry leaders and challengers. Acad. Management J. (1999) 4(42):372–388CrossrefGoogle Scholar
  • Freeman L. C., Borgatti S. P., White D. R. Centrality in valued graphs: A measure of betweenness based on network flow. Soc. Networks (1991) 13(2):141–54CrossrefGoogle Scholar
  • Goldstein D. G., Gigerenzer G. Models of ecological rationality: The recognition heuristic. Psych. Rev. (2002) 109(1):75–90CrossrefGoogle Scholar
  • Granovetter M. Threshold models of collective behavior. Amer. J. Sociol. (1978) 83(6):1420–1443CrossrefGoogle Scholar
  • Granovetter M., Soong R. Threshold models of interpersonal effects in consumer demand. J. Econ. Behav. Org. (1986) 7(March):83–99CrossrefGoogle Scholar
  • Grewal R., Mehta R., Kardes F. R. The role of the social-identity function of attitudes in consumer innovativeness and opinion leadership. J. Econom. Psych. (2000) 21(June):233–252CrossrefGoogle Scholar
  • Gulati R. Alliances and networks. Strategic Management J. (1998) 19(4, Special issue):293–317CrossrefGoogle Scholar
  • Hill C. Establishing a standard: Competitive strategy and technological standards in winner-take-all industries. Acad. Management Executive (1997) 11(2):7–25Google Scholar
  • Jones M. A., Mothersbaugh D. L., Beatty S. E. Switching barriers and repurchase intentions in service. J. Retailing (2000) 72:259–274CrossrefGoogle Scholar
  • Katz E., Lazarsfeld P.Personal Influence: The Part Played by People in the Flow of Mass Communication (1955) (Free Press, Glencoe, IL) Google Scholar
  • Katz M. L., Shapiro C. Systems competition and network effects. J. Econom. Perspectives Amer. Econom. Assoc. (1994) 8(2):93–115CrossrefGoogle Scholar
  • Kauffman R., Wood C. Analyzing competition and collusion strategies in electronic marketplaces with information asymmetry. (2000) . MISRC Working Paper 00-21, Management Information Systems Research Center, University of Minnesota, MinneapolisGoogle Scholar
  • Kim G., Shin B., Lee H. G. A study of factors that affect user intentions toward email service switching. Inform. Management (2006) 43(7):884–893CrossrefGoogle Scholar
  • Kwon D., Oh W., Jeon S. Broken ties: The impact of organizational restructuring on the stability of information-processing networks. J. Management Inform. Systems (2007) 24(1):201–231CrossrefGoogle Scholar
  • Lakonishok J., Shleifer A., Vishny R. W. The impact of institutional trading on stock prices. J. Financial Econom. (1992) 32(1):23–43CrossrefGoogle Scholar
  • Lavie D., Lechner C., Singh H. The performance implications of timing of entry and involvement in multi-partner alliances. Acad. Management J. (2007) 50(3):578–604CrossrefGoogle Scholar
  • Lee E., Lee J., Lee J. Reconsideration of the winner-take-all hypothesis: Complex networks and local bias. Management Sci. (2006) 52(12):1838–1848LinkGoogle Scholar
  • Lee T., Wilde L. L. Market structure and innovation: A reformulation. Quart. J. Econom. (1980) 94(2):429–436CrossrefGoogle Scholar
  • MacMillan I., McCaffrey M., Van Wijk G. Competitor's response to easily imitated new products: Exploring commercial banking product introductions. Strategic Management J. (1985) 6:75–86CrossrefGoogle Scholar
  • March J. G. Exploration and exploitation in organizational learning. Organ. Sci. (1991) 2(1):71–87LinkGoogle Scholar
  • McCann B., Folta T. B. Location matters: Where we have been and where we might go in agglomeration research. J. Management (2008) 34(3):532–565CrossrefGoogle Scholar
  • McDougall G. H. G., Levesque T. Customer satisfaction with services: Putting perceived value into the equation. J. Service Marketing (2000) 14(5):392–410CrossrefGoogle Scholar
  • Moreland R., Levine J. The composition of small groups. Advances in Group Processes (1992) 9(JAI Press, New York) 237–280Google Scholar
  • Newman M. E. The structure and function of complex networks. SIAM Rev. (2003) 45(2):167–256CrossrefGoogle Scholar
  • Oh W., Jeon S. Membership herding and network stability in the open source community: The Ising perspective. Management Sci. (2007) 53(7):1086–1101LinkGoogle Scholar
  • Park C. W., Jun S. Y., Shocker A. D. Composite branding alliances: An investigation of extension and feedback effects. J. Marketing Res. (1996) 33(4):453–466CrossrefGoogle Scholar
  • Ping R. The effects of satisfaction and structural constraints on retailer exiting, voice, loyalty, opportunism, and neglect. J. Retailing (1993) 69(3):320–352CrossrefGoogle Scholar
  • Shapiro C., Varian H. R.Information Rules: A Strategic Guide to the Network Economy (1999) (Harvard Business School Press, Boston) Google Scholar
  • Sheth J. N., Raju P. S. Sequential and cyclical nature of information processing models in repetitive choice behavior. Adv. Consumer Res. (1974) 1(1):348–358Google Scholar
  • Shuen A. (2008) . Web 2.0: A Strategy Guide. O'Reilly Media Inc., Sebastopol, CAGoogle Scholar
  • Simonin B. L., Ruth J. A. Is a company known by the company it keeps? Assessing the spillover effects of brand alliances on consumer brand attitudes. J. Marketing Res. (1998) 35(1):30–42CrossrefGoogle Scholar
  • Smith K. G., Ferrier W. J., Ndofor H., Hitt M. A., Freeman R. E., Harrison J. S. Competitive dynamics research: Critique and future directions. The Blackwell Handbook of Strategic Management (2001) (Wiley-Blackwell Publishers, London) Google Scholar
  • Spethmann B., Benezra K. Co-brand or be damned. Brandweek (1994) 35(45):20–5Google Scholar
  • Steiner O.Mergers: Motives, Effects, Policies (1975) (University of Michigan Press, Ann Arbor, MI) Google Scholar
  • Trier M. Towards dynamic visualization for understanding evolution of digital communication networks. Inform. Systems Res (2008) 19(3):335–350LinkGoogle Scholar
  • Van Trijp H. C. M., Hoyer W. D., Inman J. J. Why switch? Product category-level explanations for true variety-seeking behavior. J. Marketing Res. (1996) 33(3):281–292CrossrefGoogle Scholar
  • Watts D. J. A simple model of global cascades on random networks. Proc. Natl. Acad. Sci. USA (2002) 99:5766–5771CrossrefGoogle Scholar
  • Watts D. J., Dodds P. Influentials, networks, and public opinion formation. J. Consumer Res. (2007) 34(4):441–458CrossrefGoogle Scholar
  • Watts D. J., Strogatz S. H. Collective dynamics of “small-world” networks. Nature (1998) 393(6684):440–442CrossrefGoogle Scholar
  • Zhang K., Lee M. K. O., Cheung C. M. K., Chen H. Understanding the role of gender in bloggers' switching behavior. Decision Support Sys. (2009) 47(4):540–546CrossrefGoogle 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.