Author List: Aggarwal, Rohit; Singh, Harpreet;
MIS Quarterly, 2013, Volume 37, Issue 4, Page 1033-A3.
In this paper, we study the differential influence of online user-generated content (UGC), specifically blogs, across the multiple stages of decision making of venture capitalists: screening stage, choice stage, and contract stage. We conjecture that, first, blogs are influential at the screening stage; second, after the screening stage, blogs are noninfluential since decision makers evaluate entities closely at later stages; third, blogs increase the interest from multiple decision makers which in turn increases the cost of the deal for a decision maker. This empirical investigation provides support for the hypotheses, which we tested for funding decisions by venture capitalists in information technology ventures. In particular, this study indicates that blogs can help managers in getting their products/services selected at the screening stage, but, beyond that, blogs do not help directly. However, since more decision makers screen products/services that receive blog coverage, the competition among decision makers helps managers in negotiating better contract terms. We advance the boundary of existing studies on the influence of UGC from single stage process to multiple stages.
Keywords: Blogs; contract stage; econometric analysis; IT ventures; multistage decision making; screening stage; UGC; VC funding; Venture capital
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#241 0.440 information stage stages venture policies ewom paper crowdfunding second influence revelation funding cost important investigation ventures session studied electronic multiple
#8 0.194 decision making decisions decision-making makers use quality improve performance managers process better results time managerial task significantly help indicate maker
#131 0.144 media social content user-generated ugc blogs study online traditional popularity suggest different discourse news making anonymity marketing videos choices page
#285 0.066 effects effect research data studies empirical information literature different interaction analysis implications findings results important set large provide using paper
#82 0.056 case study studies paper use research analysis interpretive identify qualitative approach understanding critical development managerial elements exploring points positivist presents