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Unemployment is one of the pain areas and prickly issues being faced by any
economy. Unemployment not just in uneducated but also has branched its roots in
the educated sectors. India being a young country constitutes a major chunk of its
population be youth and to tap their full potential we need to empower our youth
with the right set of skills and opportunities. Entrepreneurship is our greatest
weapon to counter act this issue and to empower our youth. Youth by default are
energized and empowered, they are willing to explore new territories and take up
new challenges and risks. Entrepreneurship is one of the most important
alternatives for the social and economic development of a country. The key to
solving India’s unemployment problem is to boost entrepreneurship among the
youth. It can increase direct employment by 50 million to 60 million with in next
10 years. Entrepreneurship enables economic development by facilitating
creativity and innovation. The cream of the youth population, essentially
undergraduate students in universities and various Arts and Science Colleges ,
should start to consider entrepreneurship as a career choice. As the
Entrepreneurship can stem the tide of unemployment, the study set out to
investigate the Attitude of entrepreneurship in the student population, and the
possibility of students considering entrepreneurship as a career pathway. An
entrepreneur’s journey starts with entrepreneurial intention, opportunity
recognition, business initiative creation, and resource assembly, if they are to
start their venture successfully. Based on the Ajzen model, this study is focused on
entrepreneurial intention as a precursor of entrepreneurial behaviour. Both the
social and individual characteristics of entrepreneurs are considered by the
theory of planned behavior. This means that attitudes, characteristics, and social
backgrounds influence an intention which will develop into a behavior (Ajzen,
2002 cited in Bhat & Singh, 2018). This theory has previously been used in the
retail business research in explaining the buying patterns of shoppers, which are
driven by purchase intentions. The intention to purchase is driven by three
components: subjective norms, attitudes, and perceived behavior. This relates to
the context of entrepreneurial intention in that attitudes towards entrepreneurial
characteristics and perceived behaviors are predictors of entrepreneurial
intention (Ajzen, 1991 and 2002 cited in Bhat & Singh, 2018). Furthermore,
family background, which is included as part of the social background, also has
an influence on the entrepreneurial intention. Entrepreneurial intention is the
result of the interaction amongst three components, which can all be shaped by
the learning process (Iglesias-Sánchez, Jambrino-Maldonado, & de las
Paper Presented at 14th Biennial Conference held at EDII, Ahmedabad during 25 ‐ 27 February 2021
HerasPedrosa, C., 2019). In this study, we focus on innovativeness and attitudes
towards entrepreneurship as these are core personality traits and have thus far
been underexplored in our country. In order to promote an entrepreneurial
education curriculum, there is a need to understand factors or characters that are
highly influenced by entrepreneurial intention and could predict the level of
intention. This will aid instructional designers, lecturers, and subject matter
experts in designing the applicable method of instruction more effectively and
efficiently. The study focus to identify the key factors which drive entrepreneurial
intention. While innovativeness has been recognized to be one of the critical
factors within certain groups of the population, there is little empirical data on
the causal relationship between innovativeness and entrepreneurial intention
amongst undergraduate students. The study focus on two main objectives.(1) to
identify the factors influencing innovativeness, attitudes towards entrepreneurship
and the entrepreneurial intentions of undergraduate students, and (2) to
understand the causal relationship between innovativeness and entrepreneurial
intentions among the undergraduate students. The population of the study consist
of undergraduate students from various Arts and Science Colleges in Kerala and
210 effective responses were received in the survey. In terms of research
variables, the independent variables are innovativeness and attitudes towards
entrepreneurship, while the dependent variable is the entrepreneurial intentions
of undergraduate students. A self-administered questionnaire was used, which
was comprised of four sections: (1) respondent demographics, (2) attitudes
towards entrepreneurship, (3) innovativeness, (4) entrepreneurial intention with a
5-point Likert scale. The questionnaire was validated with 50 respondents to
validate its internal consistency with Cronbach Alpha, and it was found that the
Cronbach Alpha score of questionnaires for three factors is as follows:
innovativeness had a score of 0.721, attitudes towards entrepreneurship had a
score of 0.733, and entrepreneurial intention had a score of 0.856. The study was
analysed by descriptive statistics, confirmatory factor analysis, and multiple
regression. Multi-stage sampling was used to obtain the sample size, which met
the requirement of confirmatory factor analysis. Pinyo (2012) recommended this
sampling size calculation method/criterion for factor analysis. During this study,
there were a total of 15 questions used for factor analysis, and the minimum
requirement is 150–200 samples; however, a total of 210 samples were collected
to ensure a good representation of the population. The study was analysed using
descriptive statistics, confirmatory factor analysis, and multiple regression. Result
of confirmatory analysis and multiple regression depicts that innovativeness can
effectively predict entrepreneurial intention amongst undergraduate students.
Therefore, higher education institutions should promote innovativeness as one of
the critical success qualities needed for becoming an entrepreneur in the future.
Proper planning and effective analysis, design , development, implementation and
feedback are needed for getting best results. |
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