Effect of Female Entrepreneurial Experience on Start-Ups of Educational
Institutions: An Empirical Study of North-Central Nigeria
NGELE ANTHONIA NNEBUIFE, ABUBAKAR HAUWA LAMINO, NWOYE MAY,
CROSS OGOHI DANIEL
Department of Business Administration, Faculty of Management Sciences,
Nile University of Nigeria,
Plot 681, Cadastral Zone C-OO Research & Institution Area Nigeria, Airport Rd, Jabi 900001, Abuja,
NIGERIA
Abstract: - This study evinced the cruciality of female entrepreneurial experience as a gainful propeller of start-up
educational institutions in North-Central Nigeria. The focal aim of this study is to ascertain the effect of female
entrepreneurial experience on start-ups specifically in the educational sector, which over the years recorded a
tremendous influx of female entrepreneurs. A descriptive research design was adopted as the framework for this
study and the population of the study comprised 43,470 female educators within the North-Central region of
Nigeria. The Cochran sample size determination technique was used to obtain the sample size of 385 respondents.
Bowley's allocation formula was adopted to determine the sample size of each North-Central state while simple
random and purposive sampling was used to select participants. The questionnaires were structured in a 5-point
Likert scale as a validity and reliability test was conducted to ensure their credibility. Data retrieved were analyzed
using descriptive and inferential statistics via the aid of the Statistical Package for Social Sciences (SPSS) version
25 statistical tool. The results of the regression analysis validated the data at a 0.05 significance level. The findings
revealed that socio-cultural expectations, exceptional economic support, social networking, innovation, and self-
efficacy have a significant effect on the growth of educational institutions in North-Central Nigeria. Hence the
study concludes that female entrepreneurial experience adversely affects the growth of educational institutions and
start-ups in North-Central Nigeria. The study recommends that good government policies geared towards equal
support of female entrepreneurs as endorsed by the liberal view of the feminist-based entrepreneurship theory.
Key-words: Entrepreneurial Experience, Start-ups, Educational Institutions, Nigeria, Female Entrepreneur, Female
Entrepreneurial Experience.
Received: April 24, 2022. Revised: September 14, 2022. Accepted: October 2, 2022. Published: November 1, 2022.
1 Introduction
Currently, emerging literature has unequivocally
acknowledged female entrepreneurship as the fastest-
growing category of entrepreneurship globally, [1].
In [2] a report extracted from 59 countries’
economies, disclose that the global Total
Entrepreneurial Activity (TEA) was 10.2 % for
women and 3.4 % for men. Also, out of scrutinized
start-ups across 59 countries, 6.2 % are possessed by
women while men retained 9.5 %. However, the sub-
Saharan African (SSA) region houses five nations
(Uganda, Ghana, Botswana, Malawi, and Angola
ranked 1st, 2nd, 3rd, 7th, and 9th respectively)
among the top-10 nations with necessity-driven
women-led businesses globally unlike opportunity-
driven women-led businesses prevalent in high-
income economies, [2]. Nigeria is in 43rd position
despite being the most populated in Africa with more
than half of its population classified as females, [2].
The Nigerian entrepreneurship industry is fragmented
into micro, small and medium enterprises (acronym
zed as MSMEs). In [3] the authors validated by the
recent Price water house Coopers (PWC)’s MSME
According the Survey in [68], the industry accounts
for more than 90 % of the business, 80 % of total
employment jobs, and the sector formally contributes
50 % to the nation’s income (gross domestic
product). The foregoing statistics underscore the
strategic importance of this sector to Nigeria’s
overall growth, through job creation, poverty
reduction, and improving the standard of living
among others. However, notwithstanding the sector’s
unrivalled importance, the experiences of sector
players have continued to be shaped by certain issues
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1731
Volume 19, 2022
continue, which to a large extent determine the
overall industrial competitiveness.
Besides the fact that the industry remains largely
male-dominated with 77 % and females 23 % , [68],
different entrepreneurial studies have variously
identified prevailing socio-cultural expectations,
special economic support, social networking, risk-
taking propensity, innovativeness, and self-efficacy
as factors shaping the experiences of the sector
players. Although these factors affect the players
(particularly, male and female) separately, [4],
however, the preponderance of mainstream
entrepreneurship literature pays less attention to
female entrepreneurial experience despite the
growing female population and the positive trajectory
of female entrepreneurs, nationally, continental, and
globally, [3]. Nevertheless, inspecting the connection
between female entrepreneurship experiences cum
start-ups stands relevant for a sturdy and all-inclusive
economic policy.
Socio-culturally, different investigations additionally
show that gender-role generalization is a key factor
in women’s entrepreneurial activity, [5], [6]. Sexual
orientation might be utilized as a premise for
generalizing with regard to business-goal, [7].
Mostly, researchers contend that the picture ascribed
to business people is masculine. Throughout the long
term, the business has been characteristically
emphatically connected with manly attributes and
contrarily connected with ladylike ones, [8], [4].
Therefore, the easiness of special support for female
entrepreneurs in Nigeria is nearly meager asides from
the prevalent allocation to entrepreneurs in Nigeria.
The female constitutes about 48 % of the Nigerian
workforce despite having to juggle work with family
and care responsibilities, [3]. Notwithstanding these,
[9] remarked that being a female entrepreneur attracts
limited benefits from the government. They are left
to compete with their male entrepreneur who is more
culturally, societally, and economically supported
due to the gendered nature of Nigeria, [10], [11],
[12].
Furthermore, researchers stress the significance of
social networking to invigorate businesses. However,
social networks are mostly gender-oriented [13],
[14], [15], [16]. In actuality, some researchers, [12],
found that women do not utilize their network
contacts successfully like men. Observably, there is
long-standing proof that women-led business does
not actively partake in the networks that offer
such help for their male partners. [17] noted that this
is caused by the absence of individual courage,
uneasiness about separation, and perceived absence
of ability compared with male individuals including
concern about time and efforts needed to advance
with networks.
Entrepreneurship involves risk. This is why
entrepreneurs are generally characterized as risk-
takers. However, the level of entrepreneurial risks, or
the risk-taking ability of each entrepreneur differs
especially at the gender level, [18], [19].
Nevertheless, attitude toward risk could influence
entrepreneurs’ decisions to access business support.
A growing number of studies examine gender
differences in attitudes toward risk, and results vary
depending on the context. For instance, in the context
of physical and health safety, [20] showed that
women are more risk-averse than men while, in
financial decisions, the effect of gender appears more
mixed, [21]. This higher risk aversion is also likely to
affect women’s access to credit, [22].
Also, entrepreneurs are characteristically regarded as
highly innovative people, [23], [24]. This unique
feature primarily defines who an entrepreneur is, and
the chances of surviving the turbulent business
environment. However, women-owned businesses
have been regarded to be less innovative, unlike their
male counterparts and this partly accounts for the
reason they have mostly been limited to micro-
businesses, [25]. Finally, successful entrepreneurial
efforts have been closely linked with self-efficacy.
Preponderance entrepreneurial studies agreed that
female entrepreneurs suffer from low self-esteem,
and lack of confidence in their entrepreneurial
capabilities, [26], [27], [28].
In view of the foregoing apparent female
entrepreneurial experience, coupled with the sparse
study devoted to x-ray their effect on start-ups in
Nigeria, based on published studies as at the time of
conducting this research, this study is therefore
motivated to fill the vacuum by examining how they
drive female start-ups, particularly in the educational
sector, which has, since the last decade, been
recording more female entrepreneurial presence,
[67]. Consequently, this study evaluates the effect of
female entrepreneurial experience on educational
institutions start-ups in North-Central Nigeria.
This study, no doubt has theoretical, practical, and
methodological contributions to the Female
entrepreneurial experience. Theoretically, the
adopted liberal view of the feminist-based
theory which stresses the need for the provision of
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1732
Volume 19, 2022
equal privileges and opportunities between male and
female entrepreneurs, without bias and sentiments of
limited performance. Practically, this study adds
another cap to its unique contribution to the female
entrepreneurship field in Nigeria. This is because the
field of educational institutions in Nigeria is still
largely male-dominated. Successive governments
have endeavoured to boost entrepreneurship in
Nigeria, having recognized its indispensability to
overall economic development. Although
empowering women for entrepreneurship purposes is
an activity supported by governments in view of the
fact that they are nation-builders, however, in
practice, almost no serious attention is given to x-ray
the female entrepreneurial experience, [13].
Methodologically, there are contributions made by
this study to advance the field of female
entrepreneurship in Nigeria. Although there are
notable scholarly attempts made to unravel the
challenges facing women entrepreneurs, however,
none of these studies have attempted to be broad-
based in their methodological structure. In other
words, virtually all these studies focused on each
specific challenge (like finance, education,
infrastructural facilities) aspect of women's
entrepreneurship and are all states-specific, [26].
However, this study employed a cross-state
methodology by focusing on the seven states of the
north central region of Nigeria and focused on
various popular measures (sociocultural, special
economic supports, social networking, risk-taking
propensity, innovation, and self-efficacy) of the
female entrepreneurship experience, and even
introduced government entrepreneurship policies (as
control variable), in an attempt to examine their
influence on growth start-ups of educational
institutions in North-Central, Nigeria.
The remaining segments of this are allotted as
follows: The first constitutes the literature review,
discussions on Educational Institutions in Nigeria,
Women Entrepreneurs in Northern Nigeria,
theoretical framework, and formulated hypotheses.
The second aspect showcases the methodology and
model specification while the third and fourth section
reveals the results and conclusion respectively.
2 Literature Review
Decipherable scholarly works have been initiatively
introduced on female entrepreneurial undertakings in
Nigeria for decades. For instance the authors in [29]
ferreted out female entrepreneurs’ financial
obtainability to business start-ups and growth using
structured questionnaires disseminated to 132
female-owned businesses. Descriptive statistics
results divulged that the widespread presence of
female entrepreneurs is confronted by financial
containments, low self-esteem, and gender
preconception reigned over by tribal and cultural
standards which negatively struck business start-ups
and growth. Thus, the government is espoused to
economically invigorate women to withstand
sociocultural setbacks and initiate business start-ups.
Similarly, [30], assessed the contributory effect of
women-owned SMEs on socioeconomic
development in Ogun state using 150 structured
questionnaires. Data investigation was executed
using simple frequency tables and regression
analysis. Result delineated that female-owned SMEs
have a far-reaching influence on poverty (socio-
economic proxy). Thus, the government is
encouraged to back up female entrepreneurs via a
wide-ranging propitious business environment. Using
a similar methodology, in [31] the authors found that
poor finance, low education, high poverty and
interest rates, low mobility, family responsibilities,
fierce competition, and low risk-bearing ratio due to
family pressure affect female entrepreneurs.
On the other hand the authors in [32] evaluated
factors that motivate women to be entrepreneurial in
Nigeria using 200 CBN-trained women entrepreneurs
drawn from its Entrepreneurship Development
Centre. The data were scrutinized by deploying
descriptive statistics. The findings divulged that
economic liberty is the propelling element of women
entrepreneurs. It was ratified that the government
should make available an advantageous environment
that supports and motivates women entrepreneurs. A
similar result was reported by [33], [34].
The authors in [35] investigated women's
entrepreneurial contribution to entrepreneurship
development in Nigeria using four cooperative
societies in Enugu State. Using 182 questionnaires
and the Pearson chi-square statistical tool, results
disclosed that economic liberty and self-
accomplishment are stimulating factors for female
entrepreneurship. More so, it was re-counted that
some government guidelines and finance negatively
affect women's entrepreneurial
engagement (employment and poverty mitigation).
However, NGOs, the private sector, and the
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1733
Volume 19, 2022
government opted to amplify enabling platforms for
business-minded women.
In the same vein, the article [36] investigated the
performance of informal women entrepreneurs in
Enugu state, south-east using data obtained from 432
self-designed and administered questionnaires to
selected women entrepreneurs in Enugu. Data
analyses were done using descriptive and simple
linear regression techniques. Findings revealed that
the sustenance of informal women entrepreneurs is
entirely on agriculture and allied activities. As
economic operators, their operations were
characterized by poor resource situations orchestrated
by capital inadequacy, which culminated in the
development of informal women's cooperative and
micro-credit societies. According to other findings
made by [36], NGOs are still the major financial
backbone of informal women’s cooperatives. The
further quantitative result indicated that credit repaid
is positive and statistically significant with the
disbursed credits. The regression result shows that
repayment depends on savings that the women’s
group generated.
Using a survey method (804 structured
questionnaires), the study in [37] assessed women
entrepreneurs’ accessibility to growth capital and
socio-economic development in Sokoto state.
Analysis was done using logistic regression and
findings show that a significant affiliation exists
between socio-cultural constraints and the
incapability of women entrepreneurs to secure
growth capital in Sokoto State. It was further
uncovered that women entrepreneurs found it
problematic to secure capital via formal financing
institutions due to strict acquiescence with collateral
precondition by such institutions and there is a high
degree of semi-illiteracy, which impaired their record
ability.
Interrogating how women's entrepreneurship affects
sustainable economic development, the study in [38]
distributed 680 structured questionnaires to the states
in the South-Western geo-political zones of Nigeria.
Personal interview was also granted. Data
examination was accomplished using simple %age,
mean, chi-square, and linear Regression. The results
uncovered that female entrepreneurial inclusion has a
tremendous mark on sustainable economic
development. The results invariably stipulated that a
large number of women have been strengthened via
voting in elections, having accessibility to education,
as they thrived from empowerment coaching.
Additionally, results delineated that women's
entrepreneurial inclusion largely influences economic
development. Results also uncovered that deficiency
to secure funds, work and home skirmishes as well as
low ethical sustenance from family members are the
foremost issues confronting female entrepreneurs in
Nigeria. There is therefore no gainsaying that
women's entrepreneurship involvement remains a key
driver of sustainable economic development.
In [39] the authors distributed 117 questionnaires to
women entrepreneurs in Enugu. Findings from the
Step-wise multiple regressions reveal that self-
efficacy is statistically significant. Also, the three
dimensions of entrepreneurial goal orientation
explicitly state; learning, prove (performance-prove),
and avoid (performance-avoid) were statistically
significant as female involvement in
entrepreneurship. This implies that high self-efficacy
women are more likely to be entrepreneurs. Thus,
tactics to build high self-efficacy amongst women are
desirable to urge more women to become
entrepreneurs to augment national or grass-root
development.
Furthermore, the authors in [40] scrutinized the effect
of female entrepreneurs’ experience on business
survival in Ogun State deploying a questionnaire to
100 female entrepreneurs to collate data. The results
retrieved from simple linear regression unveiled that
gender disparity, bereft family support, and socio-
cultural standard negatively shake female
entrepreneur business survival. Consequently, it was
put forward that female entrepreneurs should be
empowered with effective support platforms as well
as invigorating environments to advance female
business survivability frequency.
Similarly, the authors in [41] assessed women's
entrepreneurship attributes, using 236 questionnaires
distributed to selected Kano women entrepreneurs
(mostly home-based enterprises) using a multistage
sampling method. Analysis was done using logit
regression. Findings showed that marital status,
educational level, income generating level in formal
business, level of equipment at the individual
disposal, business income level, number of people
employed, business flexitime, and social networking
supports were significant drivers of entrepreneurship
characteristics. However, the age of the entrepreneurs
including the number of dependents that an
entrepreneur has insignificant effects. The authors
advised the government and relevant authorities to
initiate policy measures to promote and strengthen
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1734
Volume 19, 2022
women's enterprises, particularly home-based
enterprises.
However, the authors in [42] assessed entrepreneurial
competencies among women farmers in Nasarawa
State. Expanding structured interviews and
descriptive statistics, data was recouped from 165
women from six local governments. The findings laid
bare that meager information, scarce infrastructural
amenities, and start-up capital deficit, were inhibitive
determinants of women's entrepreneurial
development. However, the scholar postulated that
governments are to establish beneficent amenities
and an encouraging business atmosphere to expand
women's entrepreneurship development. A similar
result was put forward by [24] on entrepreneurial
innovativeness and women entrepreneurs’
performance.
The scholars in [43] investigated how human and
financial capital influence women entrepreneurs’
performance in Small and Medium Enterprises
(SMEs) using quantitative methodology. Thus, 630
questionnaires were distributed to women
entrepreneurs in Ekiti state. Regression results show
that on the negative value, human capital
significantly determines business performance while
financial capital has a significant positive effect on
business performance. This implies that human and
financial capital critically determines women's
entrepreneurial performance. Consequently, the
government and relevant authorities were advised to
provide human and financial capital assistance to
female-run businesses.
Similarly, the authors in [44] examined women
entrepreneurs in a patriarchal society using
sociocultural perceptions of women in a beer parlor
business in Ibadan, Nigeria by distributing 375
copies of questionnaires aside from interviews.
Statistical analyses were done using descriptive
techniques and hypotheses were tested using cross-
tabs, chi-square, and Pearson Correlation. Findings
show that there is no significant affiliation between
respondents’ age, educational level, marital status as
well as religious connection and dictum towards
women in the beer parlor business. Also, it was found
that most women in the beer parlor business were
perceived negatively (viewed as prostitutes and
husband-snatchers) by most female respondents
compared to the majority of the male respondents
who perceived them as business women. The
findings further revealed that clerics of the two major
religions in the country have different perceptions
about women in the beer parlor business. This,
therefore, affects the performance of women-led
businesses in this line of trade. Therefore, more
sensitization and awareness campaigns were
suggested to the government to educate religious
leaders on the need for women to start-up businesses.
However, the authors in [24] studied the relationship
between entrepreneurial networking and women
entrepreneurs’ contribution to employment creation
in Rivers State using primary data collection
methods. To this end, 181 questionnaires were
distributed. Descriptive statistics and Spearman’s
rank correlation were used to analyze the data. It was
found that entrepreneurial networking significantly
relates to women entrepreneurs’ enrolment.
Consequently, it was clinched that entrepreneurial
networking positively and significantly influences
women entrepreneurs’ backing to employment
creation.
In another dimension, the researchers in [45]
assessed determinants of credit accessibility among
entrepreneurs. Structured questionnaires were
distributed to 185 entrepreneurs within the Kastina
metropolis. Data obtained were statistically analyzed
using a multinomial logistic model. Findings showed
that entrepreneurial experience year, number of
active accounts that an entrepreneur has flexible
financial products, financial products information
availability, record keeping, and business proposal
determine entrepreneurial credit accessibility. Also,
the authors discovered that both borrowing cost
including collateral security availability determines
entrepreneurial credit accessibility. Findings indicate
that informal sources largely constitute
entrepreneurs’ source of initial capital. Consequently,
they suggested the need for a conducive operational
environment, including the need for designated
agencies to offer more financial training for
entrepreneurs to have easier financial services
accessibility. In addition to these, the
bottlenecks/cumbersomeness associated with the
credit process and transaction costs for entrepreneurs
is advised to be removed or reduced drastically.
Also, the scholars, in [46], studied the specific
challenges faced by women entrepreneurs. Data were
generated from 720 structured questionnaires
distributed to women businesses across the capital of
the six South-western states in Nigeria. Specifically,
data were collected from 502 structured
questionnaires which are duly filled and returned.
Descriptive analysis was employed to interpret the
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1735
Volume 19, 2022
data and findings indicate that inadequate training
and shortage of accessibility of start-up capital
including weak familial support emerged as the
topmost challenges facing female-run businesses
across the Southwest region. The author strongly
suggests the need for effective policy measures to
address women entrepreneurs’ challenges. In [46] the
authors studied only addressed two of the six
variables focused on in this study, besides, the study
concentrated only on the south-western states in
Nigeria, whereas this study focused on north-central,
Nigeria.
Specifically, in [47] they assessed the motivational
patterns of women entrepreneurs in SMEs in Nigeria
using 376 questionnaires. Data analysis was done by
exhausting simple statistical techniques (tables and
%ages) and descriptive statistics. Findings show that
the personal peculiarities of women entrepreneurs
have an impact on their performance. It also shows
that funds obtainability, absence of owned assets
(land), indurate competition, derisory access to
training, reachability to raw materials, and access to
technology were the chief economic features that
impede the performance of women in business. More
so, the study established that social admissibility,
dissonant gender roles, and inter-relation with people
were the core social factors that impede
entrepreneurs.
Furthermore, the authors in [48] questioned how
entrepreneurship development influences women
graduates. 190 copies of structured questionnaires
were administered to women selected from the
National Centre for Women Development in Abuja.
Descriptive analysis was employed to interpret the
data. It was discovered that different skills training
was received by women. Also, it was found that the
knowledge gained by women empowered them to run
their businesses which ignited their business's
sustainability. The study, however, found weak
financial support from the government for women's
businesses. Thus, it was advised that the government
should step-up entrepreneurial support for women so
as to enhance their entrepreneurial activities. This
study largely focused on training and the usefulness
of the knowledge gained from training. Clearly, the
study did not address the women's entrepreneurial
variables that formed the focus of this study.
Empirically, the scholars in [49] investigated
moderating effect of competence on women
entrepreneurs’ assertiveness and their social
performance. 103 copies of structured questionnaires
were distributed to women entrepreneurs were drawn
from the Nigerian Association of Small-Scale
Industrialists. Simple regression results show that
women’s assertiveness strongly impacts social
responsibility. Also, assertiveness (focus, confidence,
and flexibility) and competence have a significant
positive effect on social responsibility. Therefore, the
author advised women entrepreneurs to step up their
competence to improve their social performance.
They also advised the government to show more
support for women entrepreneurs through good
design supportive policies. The study in [49] partly
addressed one (that is self-efficacy) of the six
variables that are the focus of this study.
In [50] x-rayed issues limiting female entrepreneurs’
financial accessibility with the fundamental target of
accomplishing long-lasting sustainable access. Data
were collected from 230 female entrepreneurs across
micro, small and medium enterprises that patronize
microfinance institutions. Specific focus was given to
variables like savings, loan conditions, business
enrolment as well as the magnitude of bank accounts
owned by the entrepreneurs. Four models assessing
the facets of access until further notice and what's to
come were assessed with customary least squares
relapse.
The ordinary least square regression was used to
determine the four models specified to estimate the
access determinants. Findings reveal that simpler
advance conditions are needed to help female
entrepreneurs to accomplish maintainable
acknowledge access, as it turned out essentially
detrimental in two of the models while mandatory
reserve funds stores ought to be less underlined. This
suggests the need for more investment in women-run
businesses to ensure sustainable growth. Credit
access is improved likewise by the standard
utilization of the organizations for monetary
exchanges. Also, education has a strong positive
effect on savings. This suggests that continuous
education is important for women entrepreneurs.
A look at the Educational Institutions in Nigeria
Nigeria’s education system is decomposed into three
subdivisions: basic education (nine years), post-
basic/senior secondary education (three years), and
tertiary education (four to six years, depending on the
program of study). Basic education covers 9years of
formal (compulsory) schooling divided into six years
of elementary and three years of junior secondary
education (National Policy on Education, 2014).
Post-basic education comprises three years of senior
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1736
Volume 19, 2022
secondary education. At the tertiary level, the
classification includes university and non-university
sectors with the latter consisting of polytechnics,
mono-technic, and colleges of education. The tertiary
sector as a whole offers opportunities for
undergraduate, graduate, vocational, and technical
education. However, in this study, primary and
secondary education is the focus. Primary education
is the main stage of the country's education system
and is viewed as an essential layer. Despite the fact
that it is easily proven wrong to say which of
primary, secondary, post-secondary, and advanced
education sub-systems is the main, no one will differ
that primary education is the stage disparaged by a
lot of students. Though not all recipients of primary
education get to different levels, all recipients of
different degrees of education should initially go
through primary schools. After the successful
completion of primary education, the next
educational stage is secondary education for children
that want to further their education before proceeding
to tertiary education. Essentially, secondary
education is aimed at further developing a child since
primary education is inadequate for them to obtain
proficiency, numeracy, and relational abilities, [51].
Junior secondary stage: This is the initial three years
of secondary education. The curriculum at this stage
is pre-professional and scholastic in degrees. Pre-
professional and non-prevocational subjects make up
the curriculum. At this stage, the subjects are English
Language, Mathematics, French, and a significant
Nigerian language besides Environment, Basic
Science, Social Studies, Citizenship Education, and
Basic Technology. The pre-professional subjects
incorporate Agricultural Science, Business Studies,
Home Economics, Local Crafts, Fine Arts, Computer
Education, and Music while the non-prevocational
subjects incorporate Religious Knowledge, Physical
and Health Education, and Arabic, [52].
Confirmation of successful completion of the junior
secondary stage is determined by the student's
performance during the Continuous Assessment (CA)
including the Junior School Certificate Examination
(JSCE) result, composed by State Ministries of
Education or Federal Ministry of Education
(whenever possessed by the Federal Government). A
child with the least number of passes in the subjects
in the curriculum including English Language and
Mathematics (changes across the States) meets all
requirements to continue to the Senior Secondary
(SS) level where he/she will be prepared for an extra
three years, [53].
Senior secondary phase: This is the following three
years after the junior secondary phase. It has a more
extensive degree than the Junior Secondary (JS)
phase and targets widening the information and
abilities of a student beyond the JS level and hence
prepares him/her for advanced education. It is
scholastic and professional in degree, [54]. A student
has to offer a minimum of seven and a maximum of
eight subjects, containing the six centre subjects:
English Language, Mathematics, a significant
Nigerian language, one science, workmanship, and a
professional subject. A couple of different electives
are to be chosen from art, science, specialized, social
science, and professional subjects. Confirmation of
successful completion depends upon the student's
performance at Continuous Assessment (CA) and
Senior School Certificate Examination (SSCE),
composed by the West African Examinations
Council (WAEC) and National Examinations
Council (NECO). A student must obtain at least five
credits at two sittings including English Language
and Mathematics before advancing to the tertiary
level, [55].
In Nigeria, secondary education targets setting up a
person for helpful living within the larger society
including advanced education, [56]. In particular, it
focuses on i) furnishing all primary school leavers
with the chance for education of a more significant
level independent of sex, societal position, strict or
ethnic foundation, ii) offering enhanced curriculum
to cook for contrasts in gifts, openings, and future
jobs, iii) Providing prepared labor in applied science,
innovation, and business at sub-proficient levels, iv)
Developing and advancing Nigerian languages,
expressions, and culture with regards to the world's
social heritage, v) motivating understudies with a
craving for personal growth and accomplishment of
greatness, vi) cultivating public solidarity with an
accentuation on the normal ties that join us in our
variety, vii) raising an age of individuals who can
have an independent perspective, regard the
perspectives and sensations of others, regard the
poise of work, appreciate those qualities indicated
under our wide public objectives, and live as
productive members of society and viii) giving
specialized information and professional abilities,
fundamental for agrarian, modern, business and
economic development, [41], [57], [58].
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1737
Volume 19, 2022
Women Entrepreneurs in Northern Nigeria
A typical trait of business firms in men-centric social
orders is the staggering attitudinal response towards
male work. [33] noted that, defining gender roles
becomes more unbending in men than in women's
social orders (societies). In male-centric social
orders, the lines are generally honed and clearly
defined regarding roles and how they ought to be
carried out. Gender-related issues have suggestions
for employee modern relations in firms managing the
two genders. Profoundly manly societies on the
planet today incorporate Austria and Japan, though
Sweden is mostly viewed as a women's activist
society, [24]. Most Hausa/Fulani states are male-
centric with solid paternalistic propensities, in which
men who are the family gatekeepers, ensure the
provision of monetary and social security to their
women-counterpart, [59]. Functional Islamic
scientific categorizations and Hausa social morals
necessitate that men and not women are mandated for
their family sustenance. Hausa women's role in the
formal economic sector remains very insignificant,
[60], however, this does not infer that confined
women working outside the formal economy do not
make significant overall economic contributions,
[17].
Gender role socialization in the Hausa community
frequently commences at a youthful age; ranging
between three to four years, [23]. The cultural
comprehension of women's economic role emanates
from sociocultural and religious teachings.
Occasionally, satisfactorily secured women are
reluctant to work in the 'open economy', since female
work in a plant, for example, could be viewed as an
irregularity. The social and religious necessities of
female unobtrusiveness make occupations that
include enormous actual afflictions and incessant
association with non-family male partners
unsatisfactory for women. Islamic and Hausa
customary originations of commendable
womanhood incorporate humbleness, moodiness and
submissiveness, [61].
Theoretical Framework
This study adopts the Feminist-Based
Entrepreneurship Theory. Specifically, a liberal
feminist is adopted because it stresses the need for
equal provision of access to essential entrepreneurial
resources for the competitive growth of female-
owned entrepreneurs. The liberal feminist theory
argues from an essentialist perspective because it
stresses that men and women are basically
comparative. Normal reasoning is expected and the
two sexes are seen as 'similarly capable'. Cultural
rates of women's subjection emerge from
discrimination on the basis of socio-cultural
impediments, [11]. Consequently, these impediments
envelop women from acquiring entrepreneurial
experience and access to needed entrepreneurial
resources [62]. The proponents of this theory place
that women understand their maximum capacity less
because they are denied fundamental benefits (such
as government entrepreneurship policies) prohibited
from useful monetary organizations or due to non
competitive jobs, [12], [60].
Normal generalizing practices might institute a
critical obstruction for imminent entrepreneurs, for
example, young ladies might be deterred from going
for scientific or engineering courses at educational
institutions, and venture capitalists might reject
helping women entrepreneurs, financially. Liberal
feminism contends the need to identify and ensure
destruction of both legal barriers including the more
treacherous discriminatory types. The thought is that
women can eradicate these obstructions. They are
urged to make a move to redress the awkwardness: to
establish 'young ladies' organizations' to match the
'old young men organizations' and also contend with
the educational/occupation gap, [63], [64]. Thus, the
theory submitted that when these sociocultural
disparities are eliminated, both genders can compete.
However, the liberalist feminists’ view faces
criticisms from its other ‘sisters’ feminists’
approaches (socialist feminism and social
constructive feminism), [65].
Contrary to the liberal theoretical view of the
feminist entrepreneurship theory, the social feminism
theoretical view disagrees that men and women
entrepreneurs can compete given equality of
resources. In other words, social feminism argues
that, right from birth; men and women are (viewed)
different due to their different
exposures (experiences), and this singularly shapes
their worldview, [66]. Women's socialization makes
alternate viewpoints, objectives, and decisions for
them, [67], resulting in different business choices
therefore the rise of 'female' activity areas (like retail,
services, etc.). The connection between family and
work is demonstrated to mostly affect women. Thus,
instead of differentiating their business as distinct
from the social world, they view it as being an
interconnected arrangement of relations (family,
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1738
Volume 19, 2022
local area, and business), [46]. Though these do not
suggest that women entrepreneurs are less viable than
men, however, their entrepreneurial approaches (to
innovation, risk-taking propensity, and social
networking and self-efficacy) may be less effective
than their male counterparts, [68].
Based on the afore-stated reviews, the hypotheses
deemed for this study are as follows:
H1: Socio-cultural expectations of female
entrepreneurs have no significant effect on the
growth of educational institution start-ups in North-
Central Nigeria.
H2: The existence of a special economy for female
entrepreneurs has no significant effect on the growth
of educational institution start-ups in North-Central
Nigeria.
H3: Social Networking pattern of female
entrepreneurs has no significant effect on the growth
of educational institution start-ups in North-Central
Nigeria.
H4: Risk-taking propensity of female entrepreneurs
has no significant effect on the growth of educational
institution start-ups in North-Central Nigeria.
H5: The innovation of female entrepreneurs has no
significant effect on the growth of educational
institution start-ups in North-Central Nigeria.
H6: The self-efficacy of female entrepreneurs has no
significant effect on the growth of educational
institution start-ups in North-Central Nigeria.
3 Methodology
The study adopted positivist research philosophy
because this philosophical position aligns with the
use of a scientific paradigm that has a standardized
approach to solving social issues. More so, the
research design is a fixated descriptive survey of the
quantitative approach adopted. This research design
was adopted because the study seeks to describe the
current phenomenon of female entrepreneurial
experience in Nigeria’s ecosystem and relates this to
the growth of their educational institution start-ups.
The study population covers the entire 43,740 female
educators within the north-central region of Nigeria
(spread across the seven north-central states FCT-
3,057, Niger-7,770; Kogi-4,724; Benue-5,122;
Plateau-3,137; Kwara-13,745 and Nasarawa-
6185). However, a sample size of 385 was adopted
using Cochran Formula (1963), a sample size
determination technique. Bowley’s allocation
formula was adopted to determine each north-central
state council’s sample size using simple random and
purposive sampling was employed to finally select
the participants. Structured questionnaires were used
to generate data for the study. The questionnaire was
a 5-point Likert scale questionnaire divided into three
segments, namely, the introduction segment, the
demographic profile segment, and the research
statements segment. Credibility research instruments
were performed using the validity and reliability
measures, while validity was done using content,
construct, and criterion-related validity and reliability
measure was done using internal consistency. Data
obtained were subjected to statistical measures.
Specifically, this encompasses inferential (aided by
correlation and regression) analyses.
3.1 Model Specification
To test for the predictability power of the dependent
(growth of educational institutions start-ups) and
independent variable (female entrepreneurial
experience), the general regression model for this
study is:
Yit = δ0 + ∑δnXit + εit
(1)
Where:
Yit = Dependent variable of female business, i in
time, t;
δ0 = Constant term or intercept of the explanatory
variable regression line;
δ = Regression coefficient of the explanatory
variable;
n = serial number of regression coefficient of the
explanatory variables in the prediction model;
Xit = Independent variable in the estimation model of
female business, i in time, t;
Ԑit = Error term of female business, i in time, t
(assumed to have zero (0) mean and independent
across time period).
The hypothesized relationship, based on the general
regression model expressed above, is functionally
expressed as follows:
GEIS =ƒ (FEE) (2)
Where:
GEIS = Growth of Educational Institution Start-up
FEE = Female Entrepreneur Experience
In its structural form, the functional equation above
becomes:
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1739
Volume 19, 2022
SEISit = β0 + β1SCEit + β2SESit + β3SNWit + β4RTPit
+ β5INVit + β6SEFit + β7GEPit + µit
(3)
Where:
SEIS = Size of Educational Institutional Start-Ups
SCE = Socio-Cultural Expectations
SES = Special Economic Support
SNW = Social Network
RTP = Risk-Taking Propensity
INV = Innovation
SEF = Self-efficacy
GEP = Government Entrepreneurship Policies
ƒ = functional relationship
U = Stochastic term.
β0 = Model relationship Intercept.
β1 β7 = the coefficients of explanatory variables.
4 Results
Correlation result
Table 1. Correlations
SEIS
SCE
SNW
RTP
INV
SEF
GEP
SEIS
Pearson Correlation
1
Sig. (2-tailed)
N
SCE
Pearson Correlation
-.505**
1
Sig. (2-tailed)
.000
N
379
SES
Pearson Correlation
.335**
-.106
Sig. (2-tailed)
.000
.110
N
379
379
SNW
Pearson Correlation
-.866**
.378**
.410**
1
Sig. (2-tailed)
.000
.000
.000
N
379
379
379
RTP
Pearson Correlation
-.945**
.592**
.235**
.808**
1
Sig. (2-tailed)
.000
.000
.000
.000
N
379
379
379
379
INV
Pearson Correlation
.727**
-.605
.591
.663
.507
1
Sig. (2-tailed)
.000
.013
.007
.011
.005
N
379
379
379
379
379
SEF
Pearson Correlation
.706**
-.666
.677
.441
.532
.349
1
Sig. (2-tailed)
.000
.012
.025
.031
.019
.029
N
379
379
379
379
379
379
GEP
Pearson Correlation
.872**
.590**
.205**
.696**
.880**
.772
.404
1
Sig. (2-tailed)
.000
.000
.002
.000
.000
.008
.022
N
379
379
379
379
379
379
379
**. Correlation is significant at the 0.01 level (2-tailed).
Source: The authors
Table one presents the summary of the correlation
statistics between female entrepreneurial experience
and the growth of educational institutional start-ups.
Based on the table, the correlation between Socio-
Cultural Expectation (SCE) and SEIS is -.505 with
Sig. value of .000, implying that a strong inverse
relationship exists between them, such that an
increase in SCE by 50.5 % will lead to a decrease in
SEIS by the same value. However, the correlation
between Special Economic Supports (SES) and SEIS
is .335 with Sig. value of .000, which suggests that a
strong direct relationship exists between them, thus,
an increase in SES by 33.5 % will lead to an increase
in SEIS by the same value. Contrarily, the correlation
between Social Networks (SNW) and SEIS has a
value of -.866 with Sig. value of .000, which
indicates that a strong inverse relationship exists
between them, thus, an increase in SNW by 86.6 %
will lead to a decrease in SEIS by the same value. In
the same vein, the correlation between Risk-Taking
Propensity (RTP) and SEIS is -.945 with Sig. value
of .000, implying that a strong inverse relationship
exists between them, as a result, an increase in RTP
by 94.5 per cent will lead to a decrease in SEIS by
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1740
Volume 19, 2022
the same value. However, the correlation between
Innovation (INV) and SEIS has a value of .727 with
Sig. value of .000, which suggests the presence of a
strong direct relationship between INV and SEIS,
such that an increase in INV by 72.7 per cent will
lead to an increase in SEIS by the same value.
Similarly, the correlation between Self Efficacy
(SEF) and SEIS has a value of .706 with Sig. value of
.000, implying the existence of a strong direct
relationship between the two proxies, such that an
increase in SEF by 72.7 per cent will lead to an
increase in SEIS by the same value. Finally, the
correlation between Government Entrepreneurship
Policies (GEP) and SEIS has a value of .872 with
Sig. value of .000, implying that a strong direct
relationship exists, thus, an increase in GEP by 87.2
per cent will lead to an increase in SEIS by the same
value.
4.1 Regression Result
Table 2. Model Summaryb
Model
R
R
Square
Adjusted
R Square
Std. Error
of the
Estimate
1
.778a
.727
.701
1.51875
a. Predictors: (Constant), SCE, SES, SNW, RTP, INV,
SEF, GEP
b. Dependent Variable: SEIS
Source: The authors
Table two is the model summary of the regression
result. Specifically, it depicts the relationship
between the growth of educational institutional start-
ups [(measured by Size of Educational Institutional
Start-up (SEIS)] and female entrepreneurial
experience [(measured by Socio-Cultural
Expectations (SCE), Special Economic Support
(SES), Social Network (SE), Risk-Taking Propensity
(RTP), Innovation (INV) and Self-efficacy (SEF)] is
strong at.778 (or 77.8 %). The implication of this is
that a strong connection exists between female
entrepreneurial experience measures and the growth
of educational institutional start-ups in Nigeria. This
result is supported by previous empirical evidence
[33], [39], [42], [40] reports that, depending on the
operating environment, the experiences (good or bad)
either serve as enablers or resistors to women’s
entrepreneurial intention and growth. Also, the
variation in the growth of educational institutional
start-ups attributed to female entrepreneurial
experience is .727 (72.7 %) as shown by the R-
Square, and even after degrees of freedom
adjustment, the variation still stands at .701 (or 70.1
%) which suggests that female entrepreneurial
experience predictors (SCE, SES, SNW, RTP, INV,
SEF, and GEP) have high influence on the growth of
educational institutional start-ups. The remaining
.289 % (or 28.9 %) is caused by other unaccounted
variables in the model. This implies that there are
other influencing factors (such as economic situation,
political stability, infrastructural conditions, and
market availability among others) concerning the
growth of educational institutional start-ups, aside
from female entrepreneurial experience measures
considered by this study, though these factors appear
to have lower statistical power, judging by the
results. In order words, the female entrepreneurial
experience measures are good predictors of start-ups’
growth, and can therefore be relied upon for
improving start-ups' growth, especially among
women entrepreneurs in Nigeria. The std. the error of
estimation of 1.51 is small, suggesting that observed
values are not far from the fitted line; implying that
there is less variability in responses to the structural
statements. Also, it implies that the sample well
represents the population. Consequently, the
regression model shows that all the explanatory
variables have a high influence on the growth of
educational institutional start-ups because the
coefficient of determination suggests that the
regression model perfectly explains the observed
data.
Table 3. ANOVAa
Model
Sum of Squares
Df
Mean Square
F
Sig.
1
Regression
268.991
6
44.831
9.482
.000b
Residual
1758.874
372
4.728
Total
2027.865
378
a. Dependent Variable: SEIS
b. Predictors: (Constant), SCE SES SNW RTP INV SEF GEP
Source: The authors
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1741
Volume 19, 2022
Table three is the ANOVA table which depicts the
model significance vis-à-vis the overall results. Put
differently, the table indicates how significantly
accurately the regression model predicts the
dependent variable. In other words, it examines the
accuracy of the female entrepreneurial experience
proxies to account for differences (or variability) in
the growth of educational institution start-ups (the
response variable). In general, it is another way of
ascertaining the overall statistical significance of the
model outcome, besides using the standard error of
the estimate. Thus, from the table, the F-Change is
9.482.
This value is significant because the significance
level is =.000 which is less than five %. This result
implies that overall; the regression model is
statistically significant, valid, and fit; hence the
hypothesis of a significant linear relationship
between the predicting and response variables, all
taken together, is as a matter validated. The
implication of this is that the estimated response
variable has an overall goodness-of-fit especially
when the significance of the computed F-statistic
(9.482) exceeds the general significance value of five
%.
Table 4. Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
T
Sig.
B
Std. Error
Beta
1
(Constant)
10.074
.726
13.876
.000
SCE
-.550
.142
-.332
-.3.873
.001
SES
.571
.131
.328
7.359
.003
SNW
-.549
.124
-.317
-7.430
.000
RTP
-.487
.115
-.275
-7.235
.003
INV
.622
.174
.368
8.089
.011
SEF
.452
.135
.286
8.144
.008
GEP
-.533
.109
-.312
-7.890
.002
a. Dependent Variable: SEIS
Source: The authors
Table four presents information about the regression
coefficients. Specifically, it depicts the respective
coefficient values of each of the measures of the
predictors and response variables. This study, it
explains the strength of the statistical relationship
between female entrepreneurial experience and the
growth of educational institutional start-ups in
Nigeria. Based on the standardized coefficients beta
values, the Sociocultural Expectations (SCE) has a
negative value of -.332 with a Sig. value of .001
which implies that SCE negatively and significantly
affects the Size of Entrepreneurial Institutional Start-
ups (SEIS). Thus, one % increase in SCE, holding
other proxies constant will result in a 33.2 per cent
decrease in SEIS. However, the Special Economic
Supports (SES) has a positive value of .328 with a Sig.
value of .003 implying that SES positively and
significantly affects the Size of Entrepreneurial
Institutional Start-ups (SEIS). Consequently, a %age
increase in SES, holding other proxies constant, will
result in a 32.8 per cent increase in SEIS.
Furthermore, the Social Network (SNW) has a
negative value of -.317 with a Sig. value of .000,
suggesting that SNW negatively and significantly
affects the Size of Entrepreneurial Institutional Start-
ups (SEIS). Thus, a one per cent increase in SNW,
holding other proxies at constant, will result in a 31.7
per cent decrease in SEIS. Similarly, the Risk-Taking
Propensity (RTP) has a negative value of -.275 with a
Sig. value of .003 which implies that RTP negatively
and significantly affects the Size of Entrepreneurial
Institutional Start-ups (SEIS). Therefore, a one per
cent increase in RTP, holding other measures
constant, will result in a 27.52 per cent decrease in
SEIS.
However, innovation (INV) has a positive value of
.368 with a Sig. value of .011 which implies that INV
positively and significantly affects the Size of
Entrepreneurial Institutional Start-up (SEIS), such that
a %age increase in INV, holding other proxies at
constant, will result in a 36.8 per cent increase in
SEIS. Similarly, Self-Efficacy (SEF) has a positive
value of .286 with a Sig. value of .008 that suggests
that SEF positively and significantly affects the Size
of Entrepreneurial Institutional Start-ups (SEIS).
Thus, a one per cent increase in SEF, holding other
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1742
Volume 19, 2022
proxies at constant, will result in a 28.6 per cent
increase in SEIS. Finally, the Government
Entrepreneurship Policies (GEP) has a negative value
of -.312, with a Sig. value of .002 which implies that
GEP negatively and significantly affects the Size of
Entrepreneurial Institutional Start-ups (SEIS).
Consequently, a one per cent increase in GEP, holding
other proxies at constant, will result in a 31.2 per cent
decrease in SEIS.
4.2 Regression Diagnostic
This study performs “collinearity diagnostics” as a
means for testing the multi-collinearity of the
independent variables. Multi-collinearity is the state of
very high inter-correlations among independent
variables in an empirical model. Multi-collinearity is
detectable using the Variance Inflation Factor (VIF).
Table 5. Variance Inflation Factor (VIF)
Date: 27/06/21 Time: 06:44
Sample: 0001 0379
Coefficient
Uncentered
Centered
Variable
Variance
VIF
VIF
C
0.126933
88.78754
NA
SCE
0.005987
99.10305
2.016780
SES
0.010498
92.66777
2.716884
SNW
0.001740
18.23736
1.208195
RTP
0.005732
88.87367
1.673788
INV
0.708947
26.76843
1.094094
SEF
0.400495
37.54453
1.089725
GEP
0.267363
67.56362
1.893783
Source: The authors
Table five above shows that SCE, SES, SNW, RTP,
INV, SEF, and GEP has respective Centred VIFs of
2.01, 2.71, 1.20, 1.67, 1.09, 1.08, and 1.89
respectively. Apparently, all the regressors have a VIF
which is far less than the 10 prescribed benchmarks.
This, therefore, indicates that there is the absence of
multi-collinearity among the regressors. Table five
shows that all the centered variance inflation factors
VIF (which is numerically identical to 1/1- R2) are
even far less than 30 for one to talk of the severe
presence of multi-collinearity. Precisely, all the
variables have VIF of less than 10. Thus, the VIF
indicates no severe multi-collinearity among the
differenced variables. Thus, all the predictors are
relevant determinants of the growth of educational
institution start-ups in Nigeria.
5 Conclusion
First, this study concludes that sociocultural
expectation adversely affects the size of educational
institution start-ups in Nigeria. This is because women
shoulder huge family responsibilities (child birth and
nurturing, to house manager among) others. This
domain usually leaves no time for them to attend to
entrepreneurial demands. Thus, they setup micro or
small businesses that do not conflict with family
duties. Secondly, this study concludes that special
economic support aids the size of women-owned
educational institution start-ups in Nigeria. This is
because, judging by the theoretic position (Feminists-
Based Entrepreneurship Theory), women are not a
strong competitors to their male counterparts due to
the absence of critical resources that are not available
to them. Furthermore, this study concludes that social
networking is a key driver of the size of women-run
educational institution start-ups in Nigeria.
Entrepreneurially, social networking reduces the costs
of the transaction, creates business opportunities, and
generates knowledge spill-overs that entrepreneurs
needed to achieve their entrepreneurial goals.
Also, this study concludes that the risk-taking
propensity of women entrepreneur affects the size of
educational institution start-ups in Nigeria. For a
longtime, it has been generally accepted that the field
of entrepreneurship is coiled with various risks, and
only the high risk-taker can survive and remain
competitive in the field. However, women
entrepreneurs are not known to be high risk-taker, yet
today’s entrepreneurial ecosystem is increasingly
getting riskier due to the volatility of operating
environments. Furthermore, this study concludes that
the innovation capability of women entrepreneur
affects the size of educational institution start-ups in
Nigeria. Although female-run businesses in Nigeria
have been able to launch numerous kinds of
innovations (especially product, process, and
marketing) into their entrepreneurial fields, all these
innovations fall under incremental innovation. Finally,
this study concludes that the self-efficacy of women
entrepreneur affects the size of educational institution
start-ups in Nigeria. Entrepreneurial self-efficacy
remains an essential element when evaluating
intentions toward start-up businesses. The higher the
entrepreneurial self-efficacy the more prepared an
entrepreneur is to withstand embedded challenges
within the entrepreneurial field.
While this study possesses a unique feature, judging
by published studies, it is however conducted within
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1743
Volume 19, 2022
the north-central region of Nigeria despite the fact that
there are female entrepreneurs across the other regions
of the country, especially the north-eastern and north-
western regions which are more educationally
backward than the north-central region. Consequently,
this study calls for more similar empirical studies that
are dedicated to exploring the female entrepreneurial
experience across the northeast and north-western
states vis-à-vis the performance of educational
institutional start-ups. Furthermore, this study
suggests the need for comparative regional studies
(such as a northern region versus a southern region)
on female entrepreneurial experience and performance
of educational institutional start-ups in Nigeria, so as
to help in furthering the robustness of this study's
findings. Also, this study suggests the need to
replicate this study in other start-up sectors, like the
field of science and technology, because not many
women entrepreneurs are known to exist within these
sectors.
References:
[1] Elam, A. B., Brush, C. G., Greene, P. G.,
Baumer, B., Dean, M., & Heavlow, R. (2019).
Global entrepreneurship monitor 2018/2019
women’s entrepreneurship report. Babson
College: Smith College and the Global
Entrepreneurship Research Association.
[2] Global Entrepreneurship Monitor (2019).
2018/2019 Women’s Entrepreneurship Report.
Retrieved (05/22/2020) from
https://www.babson.edu/media/babson/assets/bl
ank-center/GEM-2018-2019-Women%27s-
Report.pdf.
[3] World Bank Group. (2019). Profiting from
Parity: Unlocking the Potential of Women's
Business in Africa. World Bank.
[4] Basahal, A. S. (2020). Female entrepreneurship
in Saudi Arabia: Motivations and
barriers. International Journal of Human
Potentials Management, 2(2), 1-17.
[5] Vadavi, S. S. (2017). Women entrepreneurship
development in India. Advances in Business
Management, 3(2), 102-106.
[6] Pinkovetskaia, I. S., Gromova, T. V., &
Nikitina, I. N. (2020). Assessment of women’s
early-stage entrepreneurial activity in
2018. Zagreb International Review of
Economics and Business, 23(1), 35-49.
[7] Vaillant, Y. & Lafuente, E. (2019).
Entrepreneurial experience and the
innovativeness of serial
entrepreneurs. Management Decision, 57(11),
2869-2889.
[8] Banihani, M. (2020). Empowering Jordanian
women through entrepreneurship. Journal of
Research in Marketing and Entrepreneurship,
19(3), 145-159.
[9] Brush, C. D & Bruin A. D. and Welter, F.
(2019). A gender aware framework for women’s
entrepreneurship. International Journal of
Gender and Entrepreneurship, 1(1), 8-28.
[10] Henry, C., Foss, L., & Ahl, H. (2016). Gender
and entrepreneurship research: A review of
methodological approaches. International Small
Business Journal, 34(3), 217-241.
[11] Cantzler, I. & Leijon, S. (2017). Team-
orientated women entrepreneurs: A way to
modern management. Journal of Small Business
and Enterprise Development, 14(4), 732-746.
[12] Etim, E. & Iwu, C.G. (2019). A descriptive
literature review of the continued
marginalisation of female entrepreneurs in sub-
Saharan Africa. International Journal of Gender
Studies in Developing Societies, 3(1), 1-19.
[13] Fang S, Tsai F, Lin JL. (2015). Leveraging
tenant incubator social capital for organizational
learning and performance in incubation
programme. International Small Business
Journal, 28(1), 90-113.
[14] Farr-Wharton R, Brunetto Y. (2017). Women
entrepreneurs, opportunity recognition and
government-sponsored business networks: A
social capital perspective. Women Management
Review, 22(3), 187-207.
[15] Hoang H. & Antoncic B. (2013). Network-
based research in entrepreneurship: A critical
review. Journal of International Small Business,
20(2), 213-219.
[16] Anggraini, V., Ka, R. & Syah, T. Y. R. (2019).
Entrepreneurial characteristics on
entrepreneurial tendencies as age moderated: a
study on university Indonesia. Russian Journal
of Agricultural and Socio-Economic, 5(89),
104-118.
[17] Neumeyer, X., Santos, S. C., & Morris, M. H.
(2019). Who is left out: exploring social
boundaries in entrepreneurial ecosystems. The
Journal of Technology Transfer, 44(2), 462-
484.
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1744
Volume 19, 2022
[18] Langowitz, N. and Minniti, M. (2007). The
entrepreneurial propensity of women.
Entrepreneurship Theory and Practice, 31(3),
341-364.
[19] Emami, A. (2017). Gender risk preference in
entrepreneurial opportunity: evidence from
Iran. International Journal of Entrepreneurship
and Small Business, 30(2), 147-169.
[20] Barsky, R. B., Juster, F. T., Kimball, M. S., &
Shapiro, M. D. (2007). Preference parameters
and behavioral heterogeneity: An experimental
approach in the health and retirement study. The
Quarterly Journal of Economics, 112(2), 537-
579.
[21] Croson, R. & Gneezy, U. (2009). Gender
differences in preferences. Journal of Economic
Literature, 47(2), 448-474.
[22] Bardasi, E., Sabarwal, S., & Terrell, K. (2011).
How do female entrepreneurs perform?
Evidence from three developing regions. Small
Business Economics, 37(4), 417-428.
[23] Henry, C., Orser, B., Coleman, S. & Foss, L.
(2017). Women’s entrepreneurship policy: a 13-
nation cross-country comparison. International
Journal of Gender and Entrepreneurship, 9(1),
01-30.
[24] Adim, C. V., Tamunomiebi, M. D.,
Akintokunbo, O. O. & Adubasim, I. E. (2018).
Entrepreneurial innovativeness and performance
of women entrepreneurs in rivers state, Nigeria.
World Journal of Entrepreneurial Development
Studies, 2(1), 9-23.
[25] Adom, K. (2015). Recognizing the contribution
of female entrepreneurs in economic
development in sub-Saharan Africa: some
evidence from Ghana. Journal of
Developmental Entrepreneurship, 20(1),
1550003.
[26] Elnadi, M., & Gheith, M. H. (2021).
Entrepreneurial ecosystem, entrepreneurial self-
efficacy, and entrepreneurial intention in higher
education: Evidence from Saudi Arabia. The
International Journal of Management
Education, 19(1), 100458.
[27] Neto, R. D. C. A., Rodrigues, V. P., Stewart, D.,
Xiao, A., & Snyder, J. (2018). The influence of
self-efficacy on entrepreneurial behavior among
K-12 teachers. Teaching and Teacher
Education, 72, 44-53.
[28] Anambane, G. and Adom, K. (2018). Assessing
the role of culture in female entrepreneurship in
contemporary sub-Saharan society: insights
from The Nabadam District of Ghana. Journal
of Developmental Entrepreneurship, 23(3), 1-
17.
[29] Adesua-Lincoln, A. (2012). Assessing Nigerian
female entrepreneur’s access to finance for
business start-up and growth. African Journal of
Business Management, 5(13), 5348-5355.
[30] Iyiola, O. & Azuh, D. (2014). Women
entrepreneurs as small medium enterprise (sme)
operators and their roles in socio-economic
development in Ota, Nigeria. International
Journal of Economics, Business and Finance,
2(1), 1-10.
[31] Zivkovic, J. (2014). Participation of women
entrepreneurs in northern Nigeria. Journal of
Humanities and Social Science (IOSR-JHSS),
19(1), 95-104.
[32] Ademokun, F. & Ajayi, O. (2015).
Entrepreneurship development, business
ownership and women empowerment in
Nigeria. Journal of Business Diversity, 12(1),
72-87.
[33] Adekola, P. O., Olawole-Isaac, A., Ajibola, A.
B. & Salau, O. P. (2015). Exploring the
hindrances to women entrepreneurship,
development and prosperity in Nigeria. Journal
of Entrepreneurship: Research & Practice, 6(5),
1-13.
[34] Chinonye, M. L., Iyiola, O. O., Akinbode, M.
O., Obigbemi, I. A. & Eke, O. P. (2015).
Women entrepreneurship in Nigeria: Policy
framework, challenges and remedies. Retrieved
from
http://eprints.covenantuniversity.edu.ng/9196/1/
article8.pdf03/22/2020.
[35] Ayogu, D. U. & Agu, E. O. (2016). Assessment
of the contribution of women entrepreneur
towards entrepreneurship development in
Nigeria. International Journal of Current
Research and Academic Review, 3(10), 190-
207.
[36] Opata, P. I., & Arua, R. N. (2017). Assessment
of the performance of informal women
entrepreneurs in Enugu State, south east
Nigeria. African Journal of Agricultural
Research, 12(11), 923-931.
[37] Koko, M. A., Maishanu, M. M. & Hassan, A.
(2017). Women entrepreneurs’ accessibility to
growth capital and socio-economic development
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1745
Volume 19, 2022
in sokoto state, Nigeria. Journal of Business and
Management, 19(5), 69-75.
[38] Sajuyigbe, A. S., & Fadeyibi, I. O. (2017).
Women entrepreneurship and sustainable
economic development: evidence from south
western Nigeria. Journal of Entrepreneurship,
Business and Economics, 5(2), 1946.
[39] Isiwu, P. I. & Onwuka, I. (2017). Psychological
factors that influences entrepreneurial intention
among women in Nigeria: A study based in
southeast Nigeria. The Journal of
Entrepreneurship, 17(4), 118-134.
[40] Adeoye, I. A., Olajide-Arise, T. & Egwakhe, J.
A. (2018). Female entrepreneurs experiences
and business survival: Evidence from selected
female venture owners in remo community,
ogun state. International Journal of Advanced
Academic Research | Social & Management
Sciences, 4(8), 7-20.
[41] Ismail, A. A., & Kabuga, N. A. (2018).
Examining the characteristics of women
entrepreneurship in kano metropolis, Nigeria:
An empirical insight from women home-based
micro bakery enterprises. Proceedings of the
2nd International Conference and Doctoral
Colloquium organized by Faculty of Social and
Management Sciences, Bayero University,
Kano-Nigeria pp1007-1018.
[42] Kagbu, J. H. (2018). Constraints to women
farmers’ entrepreneurial development in
Nasarawa State, Nigeria. Journal of
Agricultural Extension, 22(1), 44-54.
[43] Abiodun, E. A. & Amos, D. D. (2018). The
performance of women entrepreneurs: Human
and financial capital. A Research Journal of
Social Science and Humanity, 2(1), 030 037.
[44] Adenugba, A. A. (2018). A means to an end or
an end in itself: motivation and challenges
facing women in the beer parlour business in
Ibadan, Nigeria. Gender and Behaviour, 16(1),
10719-10738.
[45] Kabuga, N. A., & Musa, A. U. (2019). Factors
influencing access to credit among
entrepreneurs in Katsina Metropolis, Nigeria.
Dutse International Journal of Social &
Economic Research (DIJSER), 2(2), 82-91.
[46] Aladejebi, O. (2020). 21st century challenges
confronting women entrepreneurs in Southwest
Nigeria. Archives of Business Research, 8(3),
261-280.
[47] Ekwochi, E. A. (2020). Assessment of
motivational patterns of women entrepreneurs in
small and medium enterprises (smes) in Nigeria:
a study of rural women entrepreneurs in south
east state of Nigeria. Assessment, 1(1), 212-225.
[48] Roseline, Y. A., Ibrahim, R. R., & Opeyemi, O.
A. (2020). Effect of entrepreneurship
development on women graduates of the
national centre for women development, Abuja.
International Journal of Multidisciplinary
Research and Technology, 1(3), 1-15.
[49] Agumadu, M. A., Moses, C. L., Adeniji, A. A.,
& Olaoye, O. P. (2020). Demystifying the
mediating role of competence on assertiveness
and social responsibility of women
entrepreneurs in lagos state. International
Journal of Management (IJM), 11(7), 803-809.
[50] Adetiloye, K. A., Adegboye, F. B., & Akinjare,
V. A. (2020). Sustainable financial access for
female entrepreneurs in the micro, small and
medium enterprises sector in Nigeria. Cogent
Social Sciences, 6(1), 1823600-1823609.
[51] Osakwe, R. N. (2014). Classroom management:
A tool for achieving quality secondary school
education in Nigeria. International Journal of
Education, 6(2), 58.
[52] Ehigiamusoe, U. K. (2012). Private sector
participation in secondary education in Nigeria:
Implications for national
development. International Journal of
Development and Sustainability, 1(3), 1062-
1074.
[53] Ige, A. M. (2014). Poverty of primary education
in Nigeria: The way forward. Education 3-
13, 42(6), 637-647.
[54] Akinbi, J. O., & Akinbi, Y. A. (2015). Gender
disparity in enrolment into basic formal
education in Nigeria: Implications for national
development. African Research Review, 9(3),
11-23.
[55] Ikoya, P. O., & Onoyase, D. (2008). Universal
basic education in Nigeria: Availability of
schools’ infrastructure for effective program
implementation. Educational studies, 34(1), 11-
24.
[56] Fafunwa, A. B. (2018). History of education in
Nigeria. Routledge.
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1746
Volume 19, 2022
[57] Obor, D. O., & Okafor, E. E. (2020). Challenges
and support mechanisms for women in the
informal sector in iwo, osun state, Nigeria. The
Nigerian Journal of Sociology and
Anthropology, 14(2), 93-114.
[58] Giglio, F. (2020). Access to credit and women
entrepreneurs: A systematic literature
Review. European Research Studies, 23(4),
312-335.
[59] Berger, E. S. C. & Kuckertz, A. (2016). Female
entrepreneurship in startup ecosystem
worldwide. Journal of Business Research,
12(8), 212-227.
[60] Bui, H. T. M., Kuan, A. & Chu, T. T. (2018).
Female entrepreneurship in patriarchal society:
motivation and challenges. Journal of Small
Business & Entrepreneurship, 30(4), 325-343.
[61] Hisrich, R. D. & Ozturk, S. A. (2019). Women
entrepreneurs in a developing economy. The
Journal of Management Development, (18),
114-124.
[62] Carter, N., Brush, C. B., Greene, P. G.,
Gatewood, E., & Hart, M. (2003). Women
entrepreneurs who break through to equity
financing: the influence of human, social and
financial capital. Venture Capital, 5(1), 1- 28.
[63] Orobia, L.A., Tusiime, I., Mwesigwa,
R. & Ssekiziyivu, B. (2020). Entrepreneurial
framework conditions and business
sustainability among the youth and women
entrepreneurs. Asia Pacific Journal of
Innovation and Entrepreneurship, 14(1), 60-75.
[64] Chowdhury, F., Audretsch, D. B., & Belitski,
M. (2019). Institutions and entrepreneurship
quality. Entrepreneurship Theory and
Practice, 43(1), 51-81.
[65] Garg, S. & Agarwal, P. (2017). Problems and
prospects of woman entrepreneurship a review
of literature. Journal of Business and
Management, 19(1), 55-60.
[66] Surangi, H.A.K.N.S. (2020). Systematic
literature review on female entrepreneurship:
Citation and thematic analysis. Kelaniya
Journal of Management, 9(2), 4054.
[67] SMEDAN (2019). Micro, small, and medium
enterprises (msme) national survey 2017 report.
Retrieved from
SMEDAN%20REPORT%20Launch%20Presen
tation%202017%20(2).pdf3/22/2020
[68] PwC (2020). MSME Survey. Retrieved
(09/03/2020) from
https://www.pwc.com/ng/en/assets/pdf/pwc-
msme-survey-2020-final.pdf.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
The authors received no financial support for the
research, authorship and/ or publication of this article.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en_
US
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.157
Ngele Anthonia Nnebuife, Abubakar Hauwa Lamino,
Nwoye May, Cross Ogohi Daniel
E-ISSN: 2224-2899
1747
Volume 19, 2022