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The field of technology investing is ridden with dire risks, particularly the ones arising from the presence of asymmetric information among venture capital firms (VCs) and entrepreneurs. The objective of this paper, is to assess the differential strategies devised by the high-technology focused foreign VCs and domestic VCs in negotiating the information risks encountered by them. The sample for the study comprises 70 active VC firms – both foreign and domestic drawn from the Venture Intelligence database. Using the theoretical framework of resource-based view and transactions costs theory and the non-linear data mining technique of Classification and Regression Trees (CART), we first segregate segments of foreign VCs and domestic VCs exhibiting the highest technology focus. Further, we profile each of these segments and compare and explain the differences in the risk management strategies pursued by them.

Managing the risks from high-tech Investments in India: differential strategies of foreign and domestic venture capital firms