New venture strategy and profitability: A venture capitalist's assessment

• Published in: Journal of business venturing 2000, Vol.15 (5), p.449-467
• Main Authors: Shepherd, Dean A., Ettenson, Richard, Crouch, Andrew
• Format: Article
• Language: English
• Subjects: Decision making; Hypotheses; Profitability; Studies; Venture capital
• ISSN: 0883-9026; 1873-2003
• DOI: 10.1016/S0883-9026(98)00007-X

This study uses theoretically justified criteria from the industrial organization (IO) strategy literature and applies it to a new domain, namely, venture capitalists' decision making. Specifically, the study investigates the types of information venture capitalists utilize when evaluating new ventures and how venture capitalists use this information to assess likely new venture profitability. In the interest of advancing our understanding of the decision making policies of venture capitalists, this study addresses many of the limitations of previous research. A review of IO research suggests important relationships between a number of strategy variables and new venture profitability. Some of the relationships proposed by IO strategy research are contingent in nature. The strategy variables and their relationships with profitability are investigated in the domain of venture capitalists' decision making. Individual and aggregate decision making analyses identified those strategy variables (criteria) venture capitalists utilize in assessing likely new venture profitability, namely, timing, key success factor stability, lead time, competitive rivalry, educational capability, industry-related competence, timing × key success factor stability interaction, timing × lead time interaction, and timing × educational capability interaction. On average, the most important criterion for venture capitalists in their assessment of profitability is industry-related competence. The second tier of importance is competitive rivalry, timing, and educational capability. The third tier of importance is lead time, key success factor stability, and timing × lead time interaction. Other interactions are less important. Therefore, while venture capitalists use contingent decision policies, main effects dominate. If venture capitalists use a reported 8 to 12 minutes on average to evaluate a business plan (Sandberg 1986), then this study's findings may help the inexperienced venture capitalist allocate time towards assessing those attributes of primary importance. Although more complex relationships exist between the attributes, the inexperienced venture capitalist can take comfort from this study's findings that main effects dominant amongst senior venture capitalists. Senior venture capitalists may take less comfort from their importance placed on main effects in light of research from IO, which suggests the importance of contingent relationships. The results may also have practica