Examining the impact of culture on entrepreneurial propensity: an empirical study of prospective American and Egyptian entrepreneurs.
Parnell, John A. ; Crandall, William "Rick" ; Menefee, Michael 等
INTRODUCTION
Over the past decade, the academic and popular literatures have
experienced a resurgence in entrepreneurship-related issues. Researchers
have begun to critically address the processes surrounding venture
creation, small business development, innovation, creativity, and
intrapreneurship--entrepreneurship within large organizations. Of
particular interest to practitioners has been the means through which
entrepreneurship is cultivated and its historically uneven distribution
throughout demographic segments of society. Specifically, questions as
to why some college-educated business professionals choose
entrepreneurial careers and others do not remain largely unanswered.
With recent gains by women and minorities in entrepreneurial ranks
and the recognition that a growing number of new American jobs created
in the next decade will be self-generated, academics have begun to
emphasize the critical nature of America's entrepreneurial climate.
In a similar vein, many leaders in developing countries in regions such
as Eastern Europe, the Middle East, and Africa have begun to emphasize
the type of social climate conducive to new venture creation. However,
one's proclivity for an entrepreneurial career is not only a
function of the economic environment, but also of personal (Johnson,
1990) and cultural factors (Brodsky, 1993). In an effort to identify
cultural and other factors that impact the likelihood of entrepreneurial
career selection, the present study compares and contrasts prospective
entrepreneurs (i.e., upper division undergraduates) in American and
Egyptian universities.
This study employs a scale to measure entrepreneurial propensity--a
prospective entrepreneur's proclivity for choosing an
entrepreneurial career--utilizing the EP scale developed by Parnell,
Crandall, and Carden (1995). Parnell, et al. identified three factors
associated with EP: (1) one's perceived level of entrepreneurial
education, knowledge and competence concerning new venture operation,
(2) one's beliefs concerning entrepreneurial opportunities in the
economy, and, (3) one's confidence in one's ability to access
the available opportunities. It is believed that each of these three
factors is associated with cultural influences to some extent.
Following an overview of the relevant literature, the Egyptian
business environment will be outlined. Scale development issues and
research methodology will be presented. Findings, implications, and
directions for future research will follow.
BACKGROUND
The literature is replete with differing perspectives on
entrepreneurship. Rumelt (1987) defined the term as the creation of new
businesses with some element of novelty. Mintzberg (1973) viewed the
entrepreneur as one who seeks to improve the organization through change
initiation. Vesper (1983) provided the economists' perspective; an
entrepreneur is one who coordinates resources to create profits.
Entrepreneurship has also been viewed as the identification of market
opportunities and the recombination and allocation of resources to
pursue them (Kirzner, 1973; Schumpeter, 1934; see also Chamberlin,
1933). Indeed, much of the present entrepreneurship literature has
rested on the assumption that the entrepreneur is a risk-taker (Balkin
& Logan, 1988; Corman, Perles, & Yancini, 1988; Dunphy, 1990;
Flamholtz, 1986; Johnson, 1990).
The economic importance of entrepreneurship is well established in
the literature (Ireland & Van Auken, 1987; Krueger & Brazeal,
1994; Stumpf, 1992). According to government labor statistics,
approximately 20 percent of all new jobs in the U.S. economy were
created by individuals who put themselves to work. The rate of increase
for this segment of new jobs is presently twice that of overall job
growth (Malone & Jenster, 1991). Much of this growth in new venture
creature may be due to middle management layoffs and a frustration with
career plateaus.
However, the entrepreneurship paradigm is one of the youngest in
the management sciences and has not yet developed distinctive methods
and theories of its own. Much of the research has been exploratory in
nature, and is not well grounded in theory (Dolinsky, Caputo &
Pasumarty, 1994; Gartner, Shaver, Gatewood & Katz, 1994; Low &
MacMillan, 1988). Bygrave (1989) argued that this may result in
entrepreneurial research being driven by other fields. Thus, research
has suffered from problems of focus and disjointment (Bygrave, 1989;
Cooper & Dunkelberg, 1987; Schendel, 1990).
The earliest work in the field of entrepreneurship focused on
personal characteristics that distinguished entrepreneurs from
non-entrepreneurs (Brockhaus, 1982; Naffziger, Hornsby & Kuratko,
1994). For example, numerous studies have found consistent relationships
between individual factors, namely achievement locus of control,
motivation (McClelland, 1961), and entrepreneurship (Brockhaus, 1982;
Gartner, 1985, 1988; Johnson, 1990). McClelland (1961, 1962) identified
three behavioral traits associated with high need for achievement
(nAch): (1) taking personal responsibility for finding solutions to
problems, (2) setting moderate achievement goals and taking calculated
risks to achieve them, and (3) desiring concrete feedback concerning
performance. McClelland later reported a series of studies linking high
nAch with entrepreneurship (McClelland, 1965a, 1965b; McClelland &
Winter, 1969). Later studies reinforced McClelland's
motivation-entrepreneurship linkage (Klavans, Shanley, & Evan, 1985;
Moore, 1986).
Miner, Smith and Bracker (1989) provided additional insight into
the motivation-entrepreneurship association. Their research concluded
that positive relationships exist between managerial motivation, firm
expansion, and firm growth. However, the level of motivation of
entrepreneurial type managers was found to be lower than that of
corporate managers. In a similar vein, Brodsky (1993) found that female
corporate managers tended to be more trusting and comfortable in
organizations, while female entrepreneurs perceived the organization as
confining and limiting.
A distinctive stream of research has begun to focus on the
entrepreneurship
process and de-emphasize distinctive characteristics of the
entrepreneur (Gartner, 1988; Katz, 1992; SAM Advanced Management
Journal, 1994; Sexton & Bowman, 1986). Indeed, there is little
conclusive evidence of differences between founders and non-founding
managers or between successful and unsuccessful founders (Begley &
Boyd, 1987; Chandler & Hanks, 1994; Low & MacMillan, 1988;
Stuart & Albetti, 1990). Nonetheless, much of the literature remains
primarily concerned with the uniqueness of the individuals behind the
ventures (Krueger & Brazeal, 1994). As Shaver and Scott (1991, p.
39) noted, separating the entrepreneurship from the venture is analogous
to separating the "dancer from the dance" (see also Carland,
Hoy & Carland, 1988).
There is a general agreement throughout the field that women and
minorities have been historically under-represented among successful
ventures. Problems include discrimination ranging from the "glass
ceiling" phenomenon (Godfrey, 1993) to financing difficulties
(Buttner & Rosen, 1992; Fay & Williams, 1993). However, new
reports suggest that women and minorities' opportunities and
success have improved considerably in recent decades, both in the U.S.
and in other countries (Buttner, 1993; Rosa, Hamilton, Carter &
Burns, 1994; Zellner, 1994). Several recent research efforts have noted
differences between male and female entrepreneurs. For example, Olson
and Currie (1992) found that the strategies of male entrepreneurs tended
to mirror their personal values, whereas female entrepreneurs were more
likely to pursue strategies that highlighted the organization's
need to conform to its environment.
THE EGYPTIAN MANAGEMENT ENVIRONMENT
Despite a growing interest in international comparative management,
cross-cultural, empirical studies have been lacking to date (Atiyyah,
1993; Kozan, 1993). Specifically, a recent extensive study of such
literature relevant to Arab countries produced little empirical work
(Atiyyah, 1992). However, one study found Arab managers to prefer
consultative decision making styles (Ali, 1993).
The impact of culture on a variety of management processes is well
documented. Kozan (1993) highlighted the cultural influence on
participative management techniques and individual initiative. Head and
Sorenson (1993) found that the effectiveness of organizational
development (OD) interventions is directly linked to the congruency between the values of OD and the culture in which the organization
operates. However, not all studies have found differences attributable
to culture (Ghosh, 1994; Terpstra, Ralston, & Bazen, 1993).
There are a variety of differences in the management environments
in the U.S. and Egypt. Consider Yehia Ali Hassan, who operates a small
grocery store in Cairo (El-Dabaa, 1995). He opens his store at 10:00
a.m. and closes late in the evening after all of his regular late
customers have come, typically after midnight. Thirty percent of
Hassan's sales are on credit for customers who would otherwise not
be able to shop there.
According to Hassan, a grocer must have patience, discretion, and
discrimination. First, a grocer must discern good credit risks from poor
ones--without the assistance of credit reports. Second, a grocer must
quickly identify the fastidious type of customer who asks "for
dozens of things and is hardly ever satisfied with anything." Such
customers inspect all of the merchandise for as much as half an hour,
only to purchase little or nothing.
The Egyptian healthcare industry illustrates the application of
business practices to an area not traditionally subject to such
practices. For example, some private hospitals in Egypt have resorted to
advertising discounts on surgery fees (Egyptian Gazette, 1995). Since
numerous doctors graduate from Egyptian medical schools each year, many
must find employment at private hospitals for low wages. The private
clinics use these physicians to perform medical check-ups and low-price
surgeries. Private hospital owners defend the practice, suggesting that
people assume that such clinics are more expensive than public
hospitals. They claim that the hospitals abide by these advertised fees,
150-180 Egyptian pounds plus a twelve percent tax (totaling about $50)
for tonsillitis surgery.
Although such practice is a violation of Egyptian law, authorities
have recently begun to promote privatization of the economy through
decreased interference in private businesses (Tesche & Tohamy,
1994), including the regulations that have been responsible for severe
limits in foreign investment (Heges, 1994). In 1993, Egypt announced
plans to privatize its steel industry (Abu-Fadil, 1993). In sum,
although Egypt presents economic opportunities for new venture creation,
government restrictions and low income levels likely dampen the
aspirations of many qualified entrepreneurs.
THE ENTREPRENEURIAL PROPENSITY (EP) SCALE
Entrepreneurial propensity is a function of three factors, each
associated with one of the three relationships (Parnell, Crandall, &
Carden, 1995): (1) one's perceived level of entrepreneurial
education, knowledge and competence concerning new venture operation,
(2) one's beliefs concerning entrepreneurial opportunities in the
economy (i.e., financial rewards, employment, etc.), and, (3) one's
confidence in one's ability to access the available opportunities
(i.e., self-employment, risk, etc.). The final instrument consisting of
these three factors addressing entrepreneurial intentions, and a variety
of demographic items (see appendix) was administered to 204 students at
two American universities and 147 students at one Egyptian university.
PROPOSITIONS
Five propositions were tested in the present study. They are
displayed in the following exhibit.
RESEARCH PROPOSITIONS
1. American students will report greater intentions to open their
own businesses than will their Egyptian counterparts.
2. American students will report greater perceived levels of
entrepreneurial training than their Egyptian counterparts.
3. American students will report greater perceived levels of
entrepreneurial opportunity than their Egyptian counterparts.
4. American students will report greater confidence in their
abilities to successfully operate their own businesses than their
Egyptian counterparts.
5. American students will possess greater entrepreneurial
propensity than their Egyptian counterparts.
FINDINGS
The first step in the data analysis stage concerned the validation
of the scale used to measure entrepreneurial propensity. The eleven EP
scale items were factor analyzed and results provided moderate support
for the existence of one construct consisting of the three hypothesized
factors. The factor analysis is displayed in Table 1. Factor loadings
varied from .31 to .69 for the one-factor model. Loadings varied from
.54 to .79 on the items on their appropriate subscales. The first column
in Table 1 lists the factor loading of each item on the EP scale. The
next three columns provide the loadings on the three subscales following
an oblique minimum rotation of the scale. The final column consists of
loadings of the items when three one-factor models were generated (i.e.,
one for EDU items, one for SLF items, and one for OPP items). Regression
factor scores were calculated for these three one-factor models as well
as for the overall scale and utilized to represent the three EP
dimensions in the analysis.
As shown in Table 1, coefficient alpha for the EP scale was
calculated at .71; alphas for the EDU, SLF, and OPP subscales were .61,
.67, and .63, values which lend moderate support to the internal
consistency of the subscales considering the small number of items on
each one.
Table 2 displays a correlation matrix for all of the variables
collected in the survey. As the table shows, there were a number of
significant relationships.
The first proposition was partially supported. American students
expressed greater intentions to open their own businesses both
immediately after graduation (PLAN1) and within five to ten years
following graduation (PLAN2). However, no differences were found in
intentions to open businesses ten or more years following graduation
(see Table 3).
The remaining propositions were fully supported. American students
reported greater levels of each of the three dimensions of
entrepreneurial capacity--education (EDUX1), perceptions of
entrepreneurial opportunity (OPPX1), and self-confidence (SLFX1)--as
well as the overall measure (ENTX1). In addition, American students were
more likely to plan to operate their own businesses both immediately
after graduation (PLAN1) and within ten years after graduation (PLAN2).
However, there were no significant differences in long term plans for
new venture creation.
There appear to be several viable explanations for the differences
found between the two samples. The American educational
establishment--and particularly business schools-provides a balance
between careers in "the corporation" and careers as
entrepreneurs. Although improvements in the American system are needed,
it nonetheless offers solid exposure to the opportunities that exist as
an independent player in the business community.
The greater perceived entrepreneurial opportunities among American
students were probably justified for several reasons. Although
complaints about government bureaucracy have almost become an American
pastime, they do compare to similar woes in the Egyptian environment.
Egyptians complain that any requests for government services result in
waits of at least several days. Once a man went to the Egyptian Society
for Insurance and Pensions to secure the proper pension for his ill,
retired father. The office worker demanded that papers be produced to
prove the man is alive. Two weeks later the appropriate papers were
delivered to the same employee, who then asked that papers be provided
proving that the father is not dead (Hosni & Shams, 1995).
A second justification for the greater perceived opportunities is
the difference in per capita income. Egyptian estimates vary, but most
economists agree that the mean per capita income in Egypt is well under
$1000. Although living costs and other variables suggest that direct
comparisons of income are not appropriate, the availability of
disposable income is clearly limited in the Egyptian economy and
concentrated in the hands of a much smaller segment of the population
than in the U.S. Hence, the identification of profitable and sizable
markets, even where accurate economic data exists, is difficult.
The difference in self confidence may be attributable to the lack
of a strong, independent business heritage in Egypt. Government
ownership and partial ownership of key enterprises is common in Egypt.
On the contrary, U.S. governmental agencies control few industries, and
stories of average, hard working Americans finding success in private
business ownership abound. Hence, it is not surprising that Americans
preparing to enter the work force are less intimidated about the
prospects for failure than are their Egyptian counterparts.
The differences in plans for new venture creation also require
elaboration. Perhaps the most interesting finding in this area is that
Egyptian students are not as likely to pursue entrepreneurial careers
within ten years of graduation, their long term plans for business
ownership are similar to those of the American students. Perhaps this
reflects a feeling of confidence about the direction in which the
country is headed over the long haul, juxtaposed with a realization that
present opportunities are limited.
CONCLUSIONS AND FUTURE RESEARCH
The present study provided insight into factors associated with
college students and their plans to pursue new venture creations.
Variances of entrepreneurial propensity and direct plans for starting
one's own business varied significantly between American and
Egyptian college students.
Several avenues for future research have been identified. First,
although the EP scale represents a solid step in the assessment of
entrepreneurial intentions, additional modifications are needed. Several
factor loadings were below the desired .70 level and may be improved by
modifications in wording, the addition of items, or elaboration of the
EP construct. Such development is germane. Further, comparisons of
loadings among samples from more institutions may also be insightful.
Second, research has considered EP levels in only a few countries.
With the recent opening of Eastern European nations, as well as the
developing regions of Africa and the Middle East, studies examining a
greater number of countries and cultures would be useful. Findings would
help identify why EP levels may vary among similarly developed nations.
Finally, the link between education programs--particularly those in
business schools-and EP needs to be assessed. The present study does not
address how entrepreneurial training or course work influences the
individual's career choice. Such research could aid in the
development of more effective curricula for preparation to enter
independent business careers.
APPENDIX
SURVEY ITEMS *
Education (EDU) items
1. If I decided to go into business for myself, I wouldn't
know where to start.
2. I am developing the skills necessary to successfully operate my
own business.
3. Going into business for myself is too risky.
4. I'm not sure how I would keep up with all aspects of
running my own business.
Personal Confidence (SLF) items
1. Starting one's own business is a great opportunity for
success.
2. I do not like working for someone else.
3. I believe I could operate a successful small business.
4. I would rather operate a small business than be a middle manager
with a larger organization.
Entrepreneurial Opportunity (OPP) items
1. It is possible for small business owners to be successful in
today's economy.
2. I have a lot of respect for successful small business owners.
3. With all of the regulation and red tape today, it is simply too
difficult to run a profitable business.
Intentions items (PLAN)
1. I plan to operate my own business immediately after graduation.
2. I plan to operate my own business within five or ten years after
graduation.
3. I plan to operate my own business, but not after ten or more
years of other experience.
Demographic items
1. What is your class? (freshman, sophomore, junior, senior,
graduate) (AGE)
2. What is your overall GPA (A=4.0)? (GPA)
3. What is your gender? (GENDER)
4. What is your age? (AGE)
5. How many years of full-time employment experience do you have?
(FTEMP)
6. How many years of part-time employment experience do you have?
(PTEMP)
* Non-demographic items were scrambled and accompanied by a
five-point Likert scale (1=strongly agree, 5=strongly disagree).
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TABLE 1
THE ENTREPRENEURIAL PROPENSITY SCALE
Item EP Scale EP Factor Loadings
Explained Loading EDU SLF OPP
EDU1 .39 .78
EDU2 .69 .54
EDU3 .68 .66
EDU4 .30 .75
SLF1 .60 .61
SLF2 .31 .66
SLF3 .69 .72
SLF4 .55 .68
OPP1 .60 .66
OPP2 .43 .76
OPP3 .47 .79
Coeff Alpha .71 .61 .67 .63
Item Subscale * % Var
Explained Loading Eigenvalue
EDU1 .75 3.13 28.4
EDU2 .68 1.60 43.0
EDU3 .73 1.54 57.0
EDU4 .72 .83 64.5
SLF1 .65 .77 71.5
SLF2 .64 .66 77.5
SLF3 .77 .59 82.9
SLF4 .70 .55 87.9
OPP1 .66 .51 92.6
OPP2 .71 .45 96.6
OPP3 .78 .37 100.0
Coeff Alpha
TABLE 2
CORRELATIONS **
PLAN1 PLAN2 PLAN3 GPA
ENTXI
PLAN1 1.0000
PLAN2 .2768 * 1.0000
PLAN3 .2045 * .3608 * 1.0000
GPA -.0285 -.0138 .0197 1.0000
AGE .0381 .0507 .1872 * .1804 *
FTEMP .0282 -.0344 .1292 * .0594
PTEMP -.0239 .1121 * .1159 * -.0715
SLFX1 .2113 * .4032 * .062 .0253
OPPX1 -.0391 .1917 * -.1302 * -.0406
EDUX1 .3028 * .2671 * .067 -.0393
ENTX1 .2318 * .4061 * .0277 -.019
AGE FTEMP PTEMP
ENTXI
PLAN1
PLAN2
PLAN3
GPA
AGE 1.0000
FTEMP .7888 * 1.0000
PTEMP -.0521 -.2492 * 1.0000
SLFX1 -.0808 -.1002 * -.0438 1.0000
OPPX1 -.1204 * -.1217 * -.0874 .2707 *
EDUX1 -.1273 * -.2142 * .0724 .3327 *
ENTX1 -.1204 * -.1850 * .0006 .7651
SLFX1 OPPX1 EDUX1
ENTXI
PLAN1
PLAN2
PLAN3
GPA
AGE
FTEMP
PTEMP
SLFX1
OPPX1 1.0000
EDUX1 .2775 1.0000
ENTX1 .6571 .7401 1.0000
* Significant at the .05 level.
** SLFX1, OPPX1 and EDUX1 are factor scores for the three one-factor
scales.
ENTX1 is the factor score for the overall one-factor EP scale.
TABLE 3
T-TESTS OF SIGNIFICANCE
Americans Egyptians
(n=204) Std (n=147) Std
Variable Mean Dev Mean Dev
PLAN1 3.70 1.27 4.12 0.99
PLAN2 3.00 1.33 3.58 1.22
PLAN3 3.19 1.25 3.30 1.26
SLFX -.12 1.02 .17 .95
OPPX1 -.23 .88 .32 1.07
EDUX1 -.14 1.05 .19 .91
ENTX1 -.22 1.00 .32 .92
AGE 23.0 5.19 21.9 2.85
FTEMP 2.87 4.82 1.08 1.24
PTEMP 3.30 2.24 3.14 1.96
Significance
Variable T-Value Level
PLAN1 3.47 .001
PLAN2 3.95 .000
PLAN3 0.82 .411
SLFX 2.66 .008
OPPX1 5.16 .000
EDUX1 3.14 .002
ENTX1 5.01 .000
AGE 2.46 .015
FTEMP 5.07 .000
PTEMP 0.71 .475