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" (Mishra, Kemmerer, and Shenoy, 2001) This technique has also been utilized in developing artificial intelligence and even used "in medical diagnosis, modeling portfolio risk and return, and new product development..." And are based on "probability theory." (Mishra, Kemmerer, and Shenoy, 2001) This method is reported to be one that increases the likelihood of gaining an understanding of the decision-making process of Venture Capitalists (VCs) and that has the capacity to lead to "more effective and efficient allocation of capital to the available projects." (Mishra, Kemmerer, and Shenoy, 2001)
The following figure shows the raw causal mapping designed by Mishra, Kemmerer and Shenoy (2001).
Raw Causal Map of a VC's Decision Model
Source: Mishra, Kemmerer and Shenoy (2001)
It is clear from the factors listed in the above causal mapping that there are many and diverse factors that affect decision-making of the Venture Capitalist (VC) and it is precisely these varied factors affecting the VC decision-making process that the following study intends to explore.
Bibliography
Kaplan, S. & Schroar,...
2003. Private Equity Performance: Returns, Persistence and Capital Flows. MIT Sloan Working Paper No. 4446-03; AFA 2004 San Diego Meetings.
Cochrane, John H. The Risk and Return of Venture Capital. Working paper, University of Chicago, 2001.
Kinnunen, Harri (2004) Institutional Investor's Decision Making Criteria for Investing in Venture Capital Funds. Frontiers of E-Business Research 2004. Online available at http://www.ebrc.info/kuvat/695-709_04.pdf
Patel, Pankaj and D'Souza, Rodney (2008) Uncovering Knowledge Structures of Venture Capital Investment Decision Making. A Working Paper for SBA Office of Advocacy. Jan 2008. Online available at http://www.sba.gov/advo/research/rs315tot.pdf
Mishra, Sanjay, Kemmerer, Benedict, and Shenoy, Prakash P. (2001) Managing Venture Capital Investment Decisions: A Knowledge Based Approach. Available online at http://web.ku.edu/~pshenoy/Papers/BKERC01.pdf
Vouros, George a., and Panayiotopoulos, Themistoklis (2004) Methods and Applications of Artificial Intelligence: Third Hellenic Conference on AI, SETN 2004, Samos, Greece, May 5-8, 2004: Proceedings. Springer, 2004.
Bibliography
Kaplan, S. & Schroar, a. 2003. Private Equity Performance: Returns, Persistence and Capital Flows. MIT Sloan Working Paper No. 4446-03; AFA 2004 San Diego Meetings.
Cochrane, John H. The Risk and Return of Venture Capital. Working paper, University of Chicago, 2001.
Kinnunen, Harri (2004) Institutional Investor's Decision Making Criteria for Investing in Venture Capital Funds. Frontiers of E-Business Research 2004. Online available at http://www.ebrc.info/kuvat/695-709_04.pdf
Patel, Pankaj and D'Souza, Rodney (2008) Uncovering Knowledge Structures of Venture Capital Investment Decision Making. A Working Paper for SBA Office of Advocacy. Jan 2008. Online available at http://www.sba.gov/advo/research/rs315tot.pdf
Mishra, Sanjay, Kemmerer, Benedict, and Shenoy, Prakash P. (2001) Managing Venture Capital Investment Decisions: A Knowledge Based Approach. Available online at http://web.ku.edu/~pshenoy/Papers/BKERC01.pdf
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