Firm Age. Firm age is another frequently used control variable
(Beatty, 1989; Beatty & Zajac, 1994; Finkle, 1998; Gulati &
Higgins, 2003; Lester et al., 2006) and was measured as the total number
of years that elapsed between the incorporation of the business and the
date of the IPO. According to Finkle, age may provide an advantage in
that older firms can acquire more information, resources, and
experience, as well as establish more relationships.
TMT Size. According to Carpenter, Geletkanycz, and Sanders (2004),
it is imperative that TMT heterogeneity studies control for TMT size.
The positive association between heterogeneity and group size is well
known (Allison, 1978). TMT size is an important aspect of TMT research
(Sanders & Carpenter, 1998). Larger teams have been found to be
linked to better performance and specifically to firm growth (Cooper
& Bruno, 1977; Eisenhardt & Schoonhoven, 1990; Haleblian &
Finkelstein, 1993; Hambrick & D'Aveni, 1992; Hoffman &
Lheureux, 1997; Mudambi & Zimmerman Treichel, 2005). The size of the
TMT has been shown to positively influence the performance of the firm
at IPO (Deeds et al., 1997; Finkle, 1998).
Equity Raised. Because the amount of capital raised at IPO may be a
function of the percentage of equity the company floats at IPO,
percentage of equity raised is used as a control variable. Equity raised
was measured as the ratio of total shares offered at the IPO to total
shares outstanding (Mudambi & Zimmerman Treichel, 2005).
Prior Sales. As investors evaluate the decision to invest in an
IPO, they consider the track record of the firm's revenue prior to
the IPO, and so I included prior sales as a control variable. Prior
sales were measured using the Total Revenue reported on the firm' s
income statement for the fiscal year prior to the IPO date.
Team Tenure. Team age is used to measure the period the team worked
together for. It is measured using the number of months (e.g., 11 months
equals .92 year and 12 months equals 1.00 year) that elapsed between the
last team member's hire date and the IPO date. A low number
indicates that the team has a short tenure and may indicate the complete
team was put into place to prepare for the IPO. A higher number suggests
the team was put into place earlier in the firm's life cycle.
Underwriter Reputation. The reputation of the underwriter has been
shown to be especially beneficial to IPO performance (Beatty &
Ritter, 1986; Gulati & Higgins, 2003; Lange, Bygrave, Nishimoto,
Roedel, & Stock, 2001). Underwriter reputation was measured using
the index created by Carter et al. (1998), an update to Carter and
Manaster's (1990) original index. The measure was based on
investment bank positions in tombstone announcements where an
underwriter' s status class was reversed coded and divided by the
number of classes listed in the tombstone. The final index has a range
of 0-9, where 0 represents the lowest reputation and 9 represents the
highest rating. Positioning in tombstone announcements is widely
recognized as an indicator of underwriter reputation (Pollock &
Rindova, 2003) and has been widely used in finance and management
research (Gulati & Higgins, 2003; Johnston & Madura, 2002;
Podolny, 1994; Pollock & Rindova, 2003; Stuart et al., 1999).
VC Backing. VC backing has been argued and shown to influence the
ability of the firm to raise capital at IPO (Brav& Gompers, 1997;
Gulati & Higgins, 2003; Megginson & Weiss, 1991; Zimmerman &
Zeitz, 2002), and the reputation of the VC firms backing the IPO firm
has been shown to be related to IPO performance (Chang, 2004; Gulati
& Higgins, 2003; Lange et al., 2001; Lin, 1996). One hundred
eighteen of the firms in the sample had VC backing. Using Lange et
al.'s list of top VC firms, I coded those firms that had a top VC
investor as "1" and "0" otherwise.
Entrepreneurial Experience. The positive relationship of prior
entrepreneurial experience of the TMT and firm performance has been
shown (Colombo, Delmastro, & Grilli, 2004). Based upon Ucbasaran et
al. (2003) I used Teachman's (1980) heterogeneity scale to measure
entrepreneurial experience heterogeneity, where H = -[summation]
Pi(lnPi) and i is the proportion of the group in the ith category. The
categories used to calculate the index were: entrepreneurial experience
in a firm other than the IPO firm (1) and no experience (0). Founder
Experience. The positive relationship of founders serving on the TMT of
IPO firms and firm performance has been shown (Nelson, 2003). Similar to
Ucbasaran etal.'s (2003) measure of entrepreneurial experience
heterogeneity, I calculated Teachman' s (1980) heterogeneity scale
to measure heterogeneity of founder experience, where H = -[summation]
Pi(lnPi) and i is the proportion of the group in the ith category. The
categories used to calculate the index were: founder of the IPO firm (1)
and not a founder (0).
Results
Table 1 presents the mean and standard deviation of the study
variables, as well as the correlations among the variables. The mean IPO
value in the sample was $24.52 million, the mean percentage of equity
raised through the IPO was 25%, and the mean firm age was 7.34 years.
Thirty-one percent of the companies went public in a hot market. The
average team size was approximately seven members, and the mean tenure
of the complete teams was approximately 1 year. Because I found a
significant level of skewness and kurtosis in the prior sales and IPO
value, I logarithmically transformed the variables.
The hypotheses were tested using hierarchical multiple regression
analysis. To test the significance in predicting the IPO value of the
independent variables over the control variables, I used a two-step
hierarchical regression analysis. All of the control variables were
entered in the first step. Then in the second step all of the
independent variables were added to the base model.
Table 2 presents the results of the hierarchical regression
analysis. Model 1 representing only the control variables (i.e., year of
IPO, hot market, firm age, TMT size, equity raised, prior sales, team
tenure, underwriter reputation, VC backing, founder experience, and
entrepreneurial experience) was significant with an adjusted [R.sup.2] =
.501 at p < .001 (F = 16.320). Seven control variables were
positively and significantly related to IPO value: year of IPO (p <
.01), hot market (p < .05), TMT size (p < .05), equity raised (p
< .05), prior sales (p < .001), underwriter (p < .001), and VC
backing (p < .05). Team tenure was negatively related to IPO value (p
< .05).
The independent variables, i.e., TMT heterogeneity of functional
background, educational background, age, and tenure were entered as a
block in Model 2. The addition of the TMT heterogeneity variables to the
equation with the control variables resulted in an improvement in the
model. The adjusted [R.sup.2] was .526 at p < .05 (F = 19.443). The
variance inflation factors (VIF) showed no indication of
multicollinearity among the variables. The highest VIF statistic was
2.086, well below the rule of thumb level of 10 (Cryer & Miller,
1994). The results from Model 2 indicate that two types of TMT
heterogeneity significantly add to my understanding of the prediction of
the capital raised through an IPO beyond the control variables.
Functional heterogeneity was positively and significantly related to the
IPO value (p < .01), providing support for hypothesis 1. Educational
heterogeneity was also positively and significantly related to IPO value
(p < .05), providing support for hypothesis 2. Age and tenure
heterogeneity were not found to be significantly related to capital
raised. Thus, no support was found for hypotheses 3 or 4.
Discussion
The results of this study indicate that TMT heterogeneity is
positively related to the amount of capital raised through an IPO.
Specifically, the functional heterogeneity and educational heterogeneity
were found to be positively and significantly related to the amount of
capital the firm raised. Age and tenure heterogeneity were not found to
be significantly related to the capital raised through an IPO. It
appears that investors positively value breadth in the functional and
educational backgrounds but not in age and tenure.
In preparation for an IPO, firms typically add top managers. They
do this in hopes of raising additional funds because adding these new
"talented" managers may help assure investors that the firm is
a good investment and will succeed in the future. This study adds some
support to these contentions and helps further explain what type of
managers should be added. First, I found that functional background
heterogeneity was positively and significantly associated with raising
funds through an IPO. This suggests that adding new managers that
complement as opposed to conform with existing managerial talent will
lead to greater investor satisfaction and additional funds at IPO.
Functional heterogeneity may signal to investors that the management
team has the talent to handle multiple aspects of the environment
instead of being myopic toward the technology, customer, regulators,
suppliers, etc. In addition, a team experienced across functional areas
is better able to respond to challenges and opportunities facing
publicly held firms than a team focused in one functional area.
Functional heterogeneity may provide the team with a broader perspective
and diversity of information (e.g., B antel, 1993; Glick et al., 1993;
Hambrick, 1994; Hambrick & Mason, 1984; Williams &
O'Reilly, 1998) in addressing the complexities of publicly held
firms.
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