Author List: Chang, Ray M.; Oh, Wonseok; Pinsonneault, Alain; Kwon, Dowan;
Information Systems Research, 2010, Volume 21, Issue 3, Page 571-593.
Using agent-based simulation experiments, we investigate the outcome of SAs between two smaller online search engine companies in competition with a dominant market leader in settings where an advertiser's decision making is the consequence of a combination of NI (e.g., an individual's willingness to follow others' decisions) and IP. In particular, we focus on a context in which the combined search engine company competes with a market leader holding a larger share of the market than the two runner-up "underdogs" combined. Our results indicate that, with the presence of NI and cascading effects, an alliance with "only" 35%-40% combined market share could compete with a leader whose market share, at the time of an alliance, is 60%-65%. Although important, size alone might be insufficient to build the market as suggested by the "vanilla" network effect theory. Another noteworthy finding is that a nonlinear association exists between NI and an alliance outcome; the combined runner-up companies have the best chance of success when the extent of NI is midrange, rather than on the high or low end of continuum. Contrary to the conventional view, this finding might also stimulate discussions among network science researchers. Furthermore, our results suggest that NI substantially moderates the relationship between the combined market share at the time of an alliance and the likelihood of resulting alliance success.
Keywords: agent-based simulation; digital competition; IP; online sponsored advertising; SAs; switching force
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#242 0.313 market competition competitive network markets firms products competing competitor differentiation advantage competitors presence dominant structure share using incumbent make important
#193 0.154 time use size second appears form larger benefits combined studies reasons selected underlying appear various significantly result include make attention
#64 0.094 advertising search online sponsored keywords sales revenue advertisers ads keyword organic advertisements selection click targeting indirect listing promotional match generates
#223 0.064 insurance companies growth portfolios intensity company life portfolio industry newly vulnerable terms composition operating implemented factors asset focus disaggregation choices
#173 0.056 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship