Tese
Modelo de mensuração do comportamento empreendedor a partir das características comportamentais e intenção empreendedoras
Fecha
2019-01-11Autor
Krüger, Cristiane
Institución
Resumen
The traditional methods of evaluating entrepreneurial behavior carry a degree of uncertainty and significant
subjectivity with several uncontrollable independent variables. In face of this fragility, the fuzzy logic can be a
tool that contributes to the understanding of the degree of pertinence regarding the entrepreneurial behavior of the
individual. In order to contribute in this direction, this study aimed to develop a model of measurement of the
entrepreneurial behavior from behavioral characteristics and entrepreneurial intention. An applied, quantitative,
descriptive and exploratory study was carried out. In order to satisfy the problem raised, already validated data
collection instruments were used, the questionnaire on entrepreneurial behavioral characteristics (EBC), developed
by McClelland (MANSFIELD et al., 1987), and the questionnaire of entrepreneurial intentions of Liñán and Chen
(2009). These instruments were answered by undergraduate students of the Federal University of Santa Maria.
The sample consisted of 2,519 research subjects. The internal consistency of the scales was measured by the Alpha
Cronbach Coefficient, ensuring reliability to the measurement and evaluation of the constructs. Initially the
analysis was performed through descriptive statistics for entrepreneurial behavioral characteristics and for
entrepreneurial intention the traditional method, where the behavioral characteristics and respective dimensions of
the students were identified. It was verified that more than 90% of the students present entrepreneurial behavioral
characteristics and that they intend to start a business. Then, through the modeling of structural equations, the
model for the measurement of entrepreneurial intention was revalidated. From this, behavioral characteristics and
entrepreneurial intention were related and a structural model for entrepreneurial behavior was developed. Based
on the modeling of structural equations for entrepreneurial behavior, the premises for the development of the fuzzy
model were elaborated. In this study, a fuzzy model was developed to measure entrepreneurial behavior through
entrepreneurial behavioral characteristics and entrepreneurial intention. The model developed follows a set of
linguistic variables, pertinence functions, fuzzification method and defuzzification, which are the component
elements of the fuzzy logic. The fuzzy modeling was built in MATLAB from the Fuzzy Toolbox. For the
construction of this fuzzy model of measurement of the entrepreneurial behavior the Mamdani method was used,
with defuzzification by means of the Centroid method. The fuzzy model of measurement of entrepreneurial
behavior was configured and then tested in Simulink environment. In fuzzy modeling, the percentage of students
with entrepreneurial behavior fell to 83%; in addition, 4% were considered "perhaps entrepreneurs" and 13% of
students did not present entrepreneurial behavior. The fuzzy model of measurement of entrepreneurial behavior
proved adequate for such measurement. Finally, the results of the fuzzy measurement model developed and the
traditional method of evaluation by the average were compared, where it was verified that the fuzzy modeling is
more detailed and more reliable compared to the traditional analysis method. It is concluded that the objective was
reached and that the fuzzy model developed is adequate to measure entrepreneurial behavior. In an unprecedented
way, the fuzzy model of measurement of the entrepreneurial behavior can contribute as an alternative tool in the
behavioral evaluation of the individuals. From this research, the search for different ways of analyzing the
entrepreneurial behavior against the traditional statistical models used is promising. The research was limited to
the construction of a model of measurement of entrepreneurial behavior from the instruments answered by
undergraduate students from a public higher education institution. Future studies may expand the constructs
addressed in the fuzzy model, as well as be replicated in other institutions of higher or basic education in order to
compare, deepen and make new findings, in addition to considering a longitudinal follow-up of the entrepreneurial
behavioral evolution of the individuals surveyed.