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Can we help? the impact on entrepreneurial performance of publicly funded business advisory services. Eileen Fischer Schulich School of Business York University. All countries want to foster “entrepreneurship”. But what do we mean by that? Decreasingly: small business support
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Can we help?the impact on entrepreneurial performance of publicly funded business advisory services. Eileen Fischer Schulich School of Business York University
All countries want to foster “entrepreneurship” • But what do we mean by that? • Decreasingly: small business support • Increasingly: entrepreneurial performance • Entrepreneurial performance arises from “enterprising human action in pursuit of the generation of value, through the creation or expansion of economic activity, by identifying and exploiting new products, processes or markets” (OECD, 2007)
Entrepreneurial performance arises when opportunities to create something new are created/identified and exploited
The problem is that entrepreneurial performance can vary considerably…so public policies and investments are made to attempt to “support” entrepreneurial activities
The question considered here is whether publicly-funded interventions (specifically advisory services) can increase the likelihood that entrepreneurial opportunities are realized in manner that leads to sustainable, profitable growth at the firm level and thereby to regional or national benefits at the economy level
Advisory services • Also known as consulting, coaching, guiding… • Offered at different stages • Pre-founding; early stage; critical growth points, … • Varied in terms of • Customization • Amount • Delivery timing (continuous, episodic) • Type, degree of qualifications of service providers
What’s the problem? • Advisee characteristics? • Growth intentions • Growth potential • Advising characteristics • Amount • Timing • Expertise
Can advising be done (cost) effectively? A local case study • Unique dataset from Investment Network • Affiliated with Innovation Synergy Center, Markham (ISCM) • Thanks to Catarina von Maydell (detailed records) • Paper available: Douglas Cumming and Eileen Fischer (2010) • Examine the impact of advisory hours on entrepreneurial outcomes • Sales • Patents • Financing • Alliances • Control for endogeneity and selection effects
The clientele • Focus on companies that: • Are generating revenue or will generate revenue within 12 months • Have the capacity to generate a minimum of $2M in revenue within 3 to 4 years • Have a sustainable competitive/technical advantage • Have a current company valuation of less than $2M • Will be looking for up to $500,000 in financing within 24 months • Appropriate program to assess impact of advisory services on entrepreneurial outcomes among firms with growth and innovation intentions and potential
The advising A mix of classes and customized advising Offered over a period of several months Delivered by people who have successfully obtained funding for multiple ventures themselves
Data obtained • 101 entered the Investment Network Program, 2006-Q4 to 2009-Q2 • Types of Variables (over 100 variables in dataset) • (1) dependent variables • sales, patents, financing, alliances • (2) factors that influence whether or not the firm is part of the Investment Network • Referral sources, market conditions • (3) value added provided by advisors • Hours spent, number of mentors, number of companies advised / mentor • (4) entrepreneurial firm characteristics • Industry, incorporation date, business acumen, coachability, etc • (5) top management team characteristics • Age, race, experience, etc. • (6) market conditions • Public market returns over investment horizon, year effects, etc.
Key findings from econometric tests • Additional advising hours greater sales • Regardless of controls • Move 10-11 hours increases sales by 13.3% • Move 20-21 hours increases sales by 6.8% • Additional advising hours higher probability of financing • Regardless of controls for endogeneity • Accounting for the possible endogeneity of hours spent: • Hours spent do not statistically increase the probability of patents or alliances
Take-aways specific to the case study • This program could be considered cost effective means of influencing SOME entrepreneurial outcomes: • firms had raised $6,545,000 in financing • The program costs were totaled at $662,360 • Ratio of financing raised per dollar of cost is $0.10 • What's working here? • Selecting firms with high potential • Intensive advising rather than minimal advising
But are public investments in advising widely warranted? ? ? ? Advisory Services
Conclusions Ideally, we need more research with larger panels and equal attention to data collection Record keeping (and likely advice) differs across advisors / programs Need to be willing to target selective firms; can't expect advising to pay off equally for all types of firms Need to recognize that minimal advising is likely to have minimal payoffs; UP TO A POINT, more is better