Entrepreneurial Orientation, Organizational Culture,
and Firm Performance: An Empirical Study in the Banking Industry
Ken Chadwick, Nicholls State University
Tim Barnett, Louisiana Tech University
Sean
Dwyer, Louisiana Tech University
The objective of this study is to further the extant research on firm-level entrepreneurship by empirically assessing the relationships between (1) entrepreneurial orientation and firm performance, and (2) organizational culture and entrepreneurial orientation. To test our hypotheses, a self-report questionnaire was mailed to a national sample of 2,100 bank presidents. A total of 535 completed and usable questionnaires were returned. After controlling for bank size and age, no significant relationship was found between entrepreneurial orientation and any of the three measures of firm performance. However, there is empirical support for the theoretical link between organizational culture and entrepreneurial orientation.
Firm-level
entrepreneurship, and especially its link to performance, has, and continues to
generate high levels of interest among scholars and practitioners. Much of this attention results from the
perception that firms which engage in relatively high levels of risky,
proactive, and innovative behaviors can effectively develop, maintain, and/or
enhance organizational competitiveness and performance (Covin & Miles,
1999). Barrett and Weinstein (1999)
suggest that the proliferation of research has enriched the field in terms of
improved conceptualizations, modeling, and empirical study. However, the abundance of both anecdotal and
empirical evidence espousing a positive relationship between entrepreneurship
and performance has led many to view entrepreneurship as inherently beneficial. Such beliefs may have resulted in numerous
managers experiencing pressure from stakeholders to engage in higher levels of
entrepreneurial activities (Wiklund, 1999), possibly to the detriment of the
firm.
While
much of the published research in the field does support a positive
relationship between entrepreneurial orientation and firm performance,
additional empirical evidence is needed before researchers or practitioners
should, with confidence, encourage wholesale adoption of an entrepreneurial orientation
(Wiklund, 1999). Evidence
suggests that an entrepreneurial
orientation may not always be appropriate (e.g., Karagozoglu
& Brown, 1988; Naman & Slevin, 1993; Zahra & Covin, 1995). In addition, other studies imply that firms
that are overly focused on any
strategic orientation may divert attention and resources away from what may be
equally, or more, important concerns.
For example, Covin and Slevin (1989) found that strategic posture was
not a significant independent predictor of firm performance. Also, while Wiklund (1999) did report a
significant and enduring association between entrepreneurial orientation and
firm performance, access to financial capital had a larger influence on
performance. In sum, the notion that an
entrepreneurial orientation provides a fundamental firm-wide advantage remains
in question and in need of additional examination.
Further research is also needed to more specifically
identify in what context an entrepreneurial orientation may best be
supported. Covin and Slevin (1991), in
developing their Model of Entrepreneurship as Firm Behavior, identified three
categories of variables that could be theoretically or empirically linked to a
firm’s ability to successfully develop and/or maintain an entrepreneurial
orientation—environmental, strategic, and internal. Included among the latter was organizational culture, a focus of
the current study. Other potentially
significant variables have also been proposed and tested. And while over 45 empirical papers have
examined organizational and environmental factors that influence a firm’s
entrepreneurial activities and/or the outcomes of these activities (Zahra,
Jennings, & Kuratko, 1999), a framework for fully explaining and predicting
firm-level entrepreneurship has not yet been achieved. Increasing understanding in this regard will
require continued efforts to identify, test, and retest the nature,
antecedents, and effects of an entrepreneurial orientation.
One potentially important factor
that may influence the direction, nature, and effect of entrepreneurial
activities is organizational culture (Zahra, 1993; Zahra, et al., 1999). In fact, Cornwall and Perlman (1990) suggest
that organizational culture is a key determinant of entrepreneurial
orientation. Other researchers, in
recognizing organizational culture's potential influence on EO, have called for
an examination of the relationship between organizational culture and
entrepreneurial orientation (e.g., Covin & Slevin, 1989, 1991; Pearce,
Kramer, & Robbins, 1997). However,
the influence of organizational culture on a firm’s ability to develop,
maintain, or enhance entrepreneurial orientation has not been empirically
tested. The primary objective of this
study is to fill this void in the literature.
This paper reports the results of a
national study in which the entrepreneurial orientation, organizational
culture, and performance of banks were examined. The purpose of the study was to empirically examine the influence
of entrepreneurial orientation on firm performance in an industry-specific
setting; and to explore the antecedent influence of organizational culture on
entrepreneurial orientation. Thus, this
study attempts to answer two research questions: (1) What is the relationship
between entrepreneurial orientation and firm performance? and (2) What is the association between
organizational culture and entrepreneurial orientation?
Various typologies have been proposed to describe and
operationalize the concept of strategic posture. Miles and Snow (1978) view strategic posture as relatively
enduring patterns of strategic behavior that seek to align the organization
with its environment. Different postures
are posited as having a particular strategy and combination of structure, culture,
and processes for responding to the environment. Like Miles and Snow (1978), Mintzberg (1973) suggests that firms
can be characterized according to their approach to strategic management. He describes various attributes that
correspond to different "strategy-making modes." Both typologies describe the concept of
strategic posture as the relationships between the organization and the
environment. Each provides a useful
basis for understanding firm-level behavior (Covin 1991).
According to Covin and Slevin (1989), another method of describing and operationalizing the concept of strategic posture is the entrepreneurial orientation of the firm. Firms that display relatively high levels of risk-taking, innovative, and proactive behaviors have entrepreneurial strategic postures (i.e., entrepreneurial orientation). Those firms that display relatively low levels of these behaviors have conservative strategic postures (i.e., conservative orientation). According to Miller (1983), these three components of strategic posture comprise a basic, unidimensional strategic orientation.
In the present study entrepreneurial orientation is defined as that strategic posture characterized by a firm's engagement in relatively high levels of risk-taking, proactivity, and a propensity to develop and introduce new product innovation (Miller, 1983). According to this perspective, entrepreneurship is viewed as a characteristic of organizations that can be measured by examining firm-level behaviors (Covin & Slevin, 1989). This is consistent with the widely held perspective of many researchers in the field (e.g., Burgelman & Sayles, 1986; Covin & Slevin, 1989, 1991; Lumpkin & Dess, 1996; Naman & Slevin, 1993; Stevenson & Gumpert, 1985; Zahra & Covin, 1995).
Covin
and Slevin (1991) state that increased interest in the study of
entrepreneurship results from the belief that a focus on relatively high levels
of risky, proactive, and innovative behaviors leads to improved firm
performance. This perspective suggests
that entrepreneurial oriented firms are able to position themselves to take
advantage of market opportunities. Such
firms are able to target premium market segments, charge high prices, and
establish industry standards (Wiklund, 1999; Zahra & Covin, 1995). Such first-mover advantages play a critical
role in a firm’s ability to develop and/or sustain competitive advantages over
rivals and achieve above-average profitability.
Most
of the recently published empirical evidence supports a positive relationship
between entrepreneurial orientation and firm performance. Covin and Slevin (1986) found a simple
correlation of r = .39 (p < .001) between entrepreneurial posture and a
multivariable measure of firm performance.
Both Zahra (1991), and Smart and Conant (1994), reported a positive
relationship between entrepreneurial activities and firm performance. Zahra and Covin’s (1995) longitudinal study
found a positive and significant association between entrepreneurial activities
and return on assets and return on sales.
More recently, Wiklund (1999) investigated the sustainability of the
entrepreneurial orientation to performance relationship. In addition to finding a positive
association between the variables, they reported that the strength of the
relationship increased over time. This
suggests that the effects of entrepreneurial orientation appear to be long term
and persistent.
While
there exists some ambiguity regarding the financial impact of entrepreneurial
orientation (e.g., Covin & Slevin, 1989; Covin, Slevin, & Schultz,
1994; Fast, 1981), both theoretical and empirical research generally supports a
positive relationship with firm performance.
H1: Entrepreneurial orientation is positively
associated with firm performance.
Cornwall
and Perlman (1990) state that organizational culture is a key determinant of a
firm’s ability to understand, develop, or maintain entrepreneurial
activity. Firms seeking to develop or
maintain an entrepreneurial orientation must also develop or maintain a
“positive culture”—one that is congruent with the firm’s vision, mission, and
strategies. In an entrepreneurial
oriented firm a positive culture would be one that supports risk-taking,
opportunity seeking, and innovation. Therefore, we expect organizational
culture to be associated with entrepreneurial orientation.
However,
the nature of this relationship--positive or negative--is expected to vary with
the culture type emphasized within the firm.
For example, Burgelman and Sayles (1986) state that culture can
encourage or discourage business-related risk-taking. By examining specific organizational types, it can be inferred
that, for example, an adhocracy culture, which stresses the values of creativity, adaptability, change, and a
focus on the external environment (Denison & Spreitzer, 1991), can be
expected to provide the context for the development or enhancement of an
entrepreneurial orientation.
Conversely, a hierarchy culture, with a focus on stability, order,
rules, and regulations (Zammuto & Krakower, 1991), reflects the norms and
values associated with a more conservatively oriented strategic posture. This emphasis on a more mechanistic form of
organization can be expected to negatively affect a firm's ability to create and
maintain entrepreneurial behaviors.
The
effect of two other types of organizational culture--market and clan--on the
ability of a firm to create and maintain a specific strategic posture is less
clear. The market culture emphasizes
not only the achievement of a competitive position for the overall system, but
also planning, efficiency, and the attainment of well-defined goals. The clan culture focuses on flexibility and
the development of human potential but does so through consensus building and an
emphasis on the internal organization.
Thus, the relationships between market and clan cultures and
entrepreneurial orientation are ambiguous.
This uncertainty results from their emphases on various values and ideals
that are expected to both positively and negatively influence a firm's ability
to create and maintain specific postures.
H2a: Adhocracy culture is positively associated with entrepreneurial
orientation.
H2b:
Hierarchy culture is negatively associated with entrepreneurial
orientation.
This
study employed a single-industry sampling frame to control for the potential
effects of environmental forces on firm performance. The banking industry was chosen because deregulation is likely to
increase the heterogeneity of strategies used (Delery & Doty, 1996). Also, all banks are required to report
common types of financial data. Thus,
objective financial data on all domestic banks was available from secondary
sources. As a result, the
representativeness of the sample was not biased by incomplete financial information
(Delery & Doty, 1996).
The
total population of banks was stratified into three categories based on total
assets: assets less than or equal to $100 million, assets greater than $100
million and less than or equal to $500 million, and assets greater than $500
million. Seven hundred banks from each
asset category were randomly selected, resulting in a total sample of 2,100
banks.
The questionnaire was
sent to the president of each bank.
Targeting senior executives was consistent with literature suggesting
that such individuals are most knowledgeable about their bank's entrepreneurial
activities and firm performance (Hambrick, 1981; Snow & Hrebiniak, 1980;
Zahra, 1991). Non-respondents were sent
a second questionnaire three weeks following the first mailing. Returned questionnaires were considered
usable data only when the questionnaires were completely filled out. Questionnaires with blank sections were
deleted from subsequent analyses. A
total of 535
completed and useable questionnaires were received, yielding a response rate of
25.5%.
The data were analyzed
for potential outliers using procedures recommended by Hair, Anderson, Tatham, & Black,
(1995). In the data cleaning stage,
frequencies were examined to identify data entry errors and/or easily observed
outliers. Potential outliers were
flagged and noted as such in subsequent analyses.
Non-response
bias was assessed by comparing respondents from the two waves of questionnaires
(Armstrong & Overton, 1977).
Neither multivariate nor univariate analyses indicated any significant
differences between the first and second wave of respondents based on any of
the study variables of interest.
Of the individuals
responding to the survey, 462 (87%) listed their current job title as
President/CEO and 39 (7%) as Vice-President.
Respondents averaged 51 years in age, had been with their present banks
an average of 16 years, and in their present position an average of 8.5 years.
Almost
34% of the responding banks had assets of $100 million or less, 38% had assets
greater than $100 million and less than $500 million, and 28 percent had assets
greater than $500 million. For the
banks in the sample, the mean return on assets (ROA) for the year ending 1997
was 1.24%. This closely approximated
the 1.23% average 1997 ROA reported in the Federal Deposit Insurance
Corporation’s (FDIC) Internet site for the entire population of banks in the
US. The mean return on equity (ROE) for
the year ending 1997 for the sampled banks was 13.67%. This was a little lower than the 14.49%
average 1997 ROE reported in the FDIC's Internet site for all US banks.
Entrepreneurial Orientation. Entrepreneurial orientation was viewed as a characteristic of organizations that can be measured by examining a firm's behavior as it engages in the entrepreneurial process (Covin & Slevin, 1986). According to Miller (1983), entrepreneurial orientation is demonstrated in firm-level risk-taking, innovative, and proactive behaviors. These behaviors were captured in the 9-item, 7-point Likert type “Entrepreneurial Orientation” scale. The scale was originally developed by Khandwalla (1977) and subsequently refined by Miller and Friesen (1978, 1982) and Covin and Slevin (1989). This Entrepreneurial Orientation scale, or slightly modified versions of the instrument, is one of the most commonly used measures of firm-level entrepreneurship (Merz, Parker, & Kallis, 1990; Zahra et al., 1999). Wiklund (1998) identified 12 or more studies that were based on the scale. According to Zahra, et al. (1999), researchers have demonstrated a high degree of consistency in measuring firm-level entrepreneurship, with most using the Entrepreneurial Orientation scale, or slightly modified versions.
As
per previous research, the mean ratings on the items were used as a measure of
entrepreneurial orientation. The higher
the score, the greater the degree to which a firm is entrepreneurial oriented
(Covin & Slevin, 1989). The lower
the score, the greater the degree to which a firm is conservatively
oriented.
The Cronbach’s coefficient alpha value for the scale was 0.81. This exceeds the 0.70 threshold recommended by Nunnally (1978), and approximates the values of 0.91, 0.87, 0.81, and 0.83 reported by Barrett and Weinstein (1999); Covin and Slevin (1989); Naman and Slevin (1993); and Knight (1997), respectively. To further assess the internal consistency of the scale, the statistical significance of coefficient alpha was assessed, following a procedure recommended by Feldt, Woodruff, & Salih (1987). For the Entrepreneurial Orientation scale, the calculated F value of 5.26 exceeded the critical F value of approximately 2.51 (p < .01) providing additional evidence of internal consistency.
Organizational Culture. Organizational culture was assessed using Quinn and Spreitzer’s (1991) 16-item scale
designed to measure four types of organizational culture. The “Competing Values” scale, adapted from
Cameron (1978), identifies the types of organizational culture as (1) Market (2)
Clan, (3) Hierarchy, and (4) Adhocracy.
The scale uses four items to describe each of the four culture
types. Likert items scored on a 7-point
scale ranging from "1 = strongly disagree" to "7 = strongly
agree" comprised the scale.
The Competing Values scale used in this study has a strong theoretical foundation and its dimensionality and psychometric properties are well established (Cameron & Quinn, 1999). Acceptable levels of reliability, in terms of Cronbach’s coefficient alpha, have been reported by several researchers (e.g., Quinn & Spreitzer, 1991; Yeung, Brockbank, & Ulrich, 1991; Zammuto & Krakower, 1991). As Cameron and Quinn (1999, p. 140) note, “Sufficient evidence has been produced regarding the reliability of the [scale] to create confidence that it matches or exceeds the reliability of the most commonly used instruments in the social and organizational sciences.” In the present study, the adhocracy culture scale's estimated coefficient alpha value was 0.74. The estimated coefficient alpha values for clan, hierarchy, and market culture scales were 0.68, 0.54, and 0.51, respectively.
Firm Performance. Firm performance was assessed using both subjective and objective measures. The use of multiple measures recognizes the multifaceted nature of firm performance and the advantages in integrating various measures in empirical studies (Lumpkin & Dess, 1996).
The Weighted Average Performance scale is a modified version of an instrument developed by Gupta and Govindarajan (1984). Respondents were first asked to indicate on a 5-point Likert-type scale, the degree of importance their firm attaches to sales level, sales growth rate, cash flow, return on shareholder equity, gross profit margin, net profit from operations, profit to sales ratio, return on investment, and ability to fund business growth from profits. The respondents were then asked to indicate on another 5-point Likert-type scale, the extent to which they are currently satisfied with their firm's performance on each of the financial performance criteria.
This measurement scale has been used
numerous times in previous entrepreneurial research and acceptable levels of
reliability have been reported. Covin
and Slevin (1988, 1989); Covin et al. (1997); and Naman & Slevin (1993) reported
Cronbach’s coefficient alphas for the Weighted Average Performance scale of
0.78, 0.88, 0.93, and 0.81 respectively.
In the present study, the estimated coefficient alpha for the Weighted
Average Performance scale was 0.85
Two objective financial performance measures were also examined. Return on assets (ROA) and return on equity (ROE) for year ending 1997 were employed because both are key indicators of profitability within the banking industry (Delery & Doty, 1996). For example, ROE represents the central measure of the strength of any financial institution (Earle & Mendelson, 1991) and is a preferred measure of a bank’s financial performance (Bird, 1991; Hopkins & Hopkins, 1997). The measures of ROA and ROE were obtained from the FDIC's web site.
Control Variables. Two control variables, also obtained from the FDIC's Internet site, were included in the analysis. The first, bank size, has been shown to have a direct effect on financial performance (Richard, 2000; Shepherd, 1975; Winn, 1977). To enhance the normality of skewed data (Hair et al., 1995) bank size was measured as the natural logarithm of total bank assets in millions. This is an established method of accounting for variances in firm performance and has been used in multiple bank-related studies (e.g., Delery & Doty, 1996; Hopkins & Hopkins, 1997; Richard, 2000).
While
previous research has examined the relationship between company size and
entrepreneurship (Kamien & Schwartz, 1982), the effect on entrepreneurial
activity is unclear. For example, while
a smaller company's simple structure may allow it to respond quickly to
changing markets, the firm may lack the financial resources necessary for
entrepreneurial activities. However,
smaller companies are generally believed to be more innovative than larger
firms (Scherer, 1980; Zahra,
1995).
Company
age, measured as the number of years from the founding date, was also included
as a control variable. Younger
companies, in search of brand recognition customer loyalty, and competitive
advantages, are believed to be more innovative than older firms (Acs &
Audretsch, 1988). Also, older companies
tend to focus on existing products, services, and technologies, while using
marketing to establish their position (Zahra, 1995).
Results
Table 1 reports the means, standard
deviations, and correlations for the study variables. The correlations between entrepreneurial
orientation and both weighted average performance (r = 0.09) and ROE (r
= 0.11) were significant at the 0.05 level.
Significant correlations were also
found between entrepreneurial orientation and both adhocracy culture (r = 0.66,
p < 0.01) and hierarchy culture (r = -0.13, p < 0.05). Also, entrepreneurial orientation was positively
associated, at the 0.05 level of significance, with market culture (r = 0.29).
AC .66**
HC -.13** -.03
CC .10* .21**
.27**
MC .29** .37**
.26** -.01
WAP .09* .07
.09* .16** .12**
ROA .02 .04 -.06 .08
.10* .43**
ROE .11* .12**
-.03 .01 .14** .45**
.77**
BA .27** .15*
-.11** -.13** .16** .12** .11* .26**
YR .10* .01
.02 .03 -.07 -.03
.01 -.07 .17**
M
4.14 4.70 4.75
5.51 4.56 0.43 1.24
13.67
sd 0.85 0.97
0.85 0.79 0.83 0.63
0.40 4.75
**
= p < 0.01 level
* = p < 0.05 level
EO = Entrepreneurial Orientation WAP
= Weighted Average Performance
AC =
Adhocracy Culture ROA
= Return on Assets Year Ending 1997
HC =
Hierarchy Culture ROE
= Return on Equity Year Ending 1997
CC = Clan
Culture BA = Natural Log of Total Bank Assets
MC = Market Culture YR = Age of Bank in Years
As posited by H1 we expected to find a positive relationship
between entrepreneurial orientation and firm performance. The results of the hierarchical regression
analysis are shown in Table 2. To
remove extraneous influences on the three dependent performance variables, bank
size and bank age were first entered into the regression equation. The independent variable—entrepreneurial
orientation--was entered in the next step.
No significant relationships were found between entrepreneurial
orientation and any of the three measures of firm performance.
|
Variable |
Dependent
Variables
|
||
|
|
WAP (n = 514) |
ROA (n = 510) |
ROE (n = 510) |
|
Total Assets Bank Age |
0.12a** -0.07 (0.02)b |
0.13** -0.01
(0.01) |
0.27***
-0.12 (0.08) |
|
Entrepreneurial Orientation |
0.07 (0.00) |
-0.06 (0.00)
|
0.05 (0.00) |
|
Adjusted
R2 |
0.02 |
0.01 |
0.08 |
a
Standardized regression coefficients are shown
b
Changes in Adjusted R2 are shown in parentheses
*** = p < 0.001
** = p
< 0.01
Further analysis was performed by
classifying firms as either conservative or entrepreneurial based on their
score on the Entrepreneurial Orientation scale. Those that scored less than 3.5 were classified as conservative. Firms that scored above 4.5 were classified
as entrepreneurial. Firms with scores
of 3.5 to 4.5 on the 7-point scale could not be unambiguously classified and
were omitted from this analysis. This
classification technique has been used in previous firm-level entrepreneurship
research to create distinct conservative and entrepreneurial subgroups (Covin,
1991; Karagozoglu & Brown, 1988; Miller & Friesen, 1982).
Multivariate analysis of co-variance
was conducted on the three performance measures with bank size and age as
co-variates (see Table 3). The
conservative versus entrepreneurial banks had mean scores of 0.38 and 0.55 on
the weighted average performance measure, 1.26% and 1.25% for return on assets,
and 13.06% and 14.65% for return on equity, respectively.
|
Performance
Variables Comparison of Subgroups |
|||
|
Test |
Multivariate Test Values |
F |
Significance of F |
|
Multivariate Tests Pillais
Hotellings Wilks Roys |
0.057 0.060 0.943 0.060 |
5.836 5.836 5.836 5.836 |
0.001 0.001 0.001 0.001 |
|
Univariate Tests Weighted Average Performance Return on Assets Return
on Equity
|
2.687 1.138 1.739 |
0.102 0.287 0.188 |
|
The
multivariate analysis of co-variance resulted in a significant multivariate
effect (F3,292 = 5.84, p < 0.01). Thus, when the three measures are assessed as an overall
evaluation of performance, entrepreneurial banks were found to perform
significantly better than conservative banks.
An examination of the mean scores for the two subgroups reveals that the
difference was attributable to the higher weighted average performance and ROE
scores for entrepreneurial versus conservative banks.
Next,
we examined whether entrepreneurial banks outperformed conservative banks on
any of the three performance measures individually. No significant univariate results were found for the three
performance measures. Significant
results were found for bank size and ROA (F1,296 = 5.49, p <
0.05) and for bank size and ROE (F1,296 = 19.39 p < 0.001).
The
results of the regression analysis used in testing H2 are presented
in Table 4. Bank age and the natural
log of total assets were entered in the first step followed by the four
organizational culture types. As
expected, after controlling for age and size, the organizational culture types
explained an additional 41% of the variance in entrepreneurial
orientation. The overall statistical
significance of the regression equation was F 6,504 = 78.69, p <
0.001. Specifically, adhocracy culture
was found to be significantly and positively related to entrepreneurial
orientation (B = 0.60, p < 0.001).
Thus, banks with stronger emphasis on an adhocracy culture were more
entrepreneurial oriented than banks that put less emphasis on an adhocracy
culture. Hierarchy culture was found to
be significantly and negatively related to entrepreneurial orientation (B =
-0.12, p < 0.01). This shows that
banks with a stronger emphasis on a hierarchy culture were more conservatively
oriented than banks that put less emphasis on a hierarchy culture. In addition, market culture was found to be
significantly and positively related to entrepreneurial orientation (B = 0.08,
p < 0.05). Thus, banks with a
stronger emphasis on a market culture were more entrepreneurial oriented than
banks that put less emphasis on a market culture. An examination of the beta coefficients revealed information
about the strength of the relationships between these three culture types and entrepreneurial
orientation. Adhocracy culture (B =
0.60, p < 0.001), had a stronger association with entrepreneurial
orientation than did hierarchy culture or market culture. Hierarchy culture, in turn, had a stronger
association with entrepreneurial orientation than did market culture. Therefore, the results of the analysis
strongly support H2.
|
Variables |
|||
|
Bank Age 0.07 * 0.07 *** |
|||
|
Adhocracy
Culture |
0.60 *** |
|
|
|
Hierarchy Culture |
-0.12 ** |
|
|
|
Clan Culture |
| ||