F. J. GARCÍA-RODRÍGUEZ ET AL.
Laguna (Spain) conducted a project to test an innovative meth-
odology for teaching entrepreneurship. The project involved the
drawing up of business plans by multidisciplinary teams of
students studying for degrees in chemical engineering, Indus-
trial engineering, computer engineering and business manage-
ment. In the current work, the authors present the methodology
they followed and the main results from the evaluation of the
impact of participating in the project among the students. They
offer their main conclusions from the experiment and suggest
possible improvements for the future.
A Practical Initiative: Multidisciplinary Teams
of University Students
Description of Project
A group of professors at the University of La Laguna (Spain)
who teach four courses from four different degree programs in
business management and the engineering sciences carried out
a project to test an innovative methodology for teaching entre-
preneurship and inculcating entrepreneurial spirit among the
students. The project involved setting up multidisciplinary
teams of students to draw up business projects on the basis of
an idea. The starting point for the project was the following
ideas about the role and potential of entrepreneurship education
in the University:
Entrepreneurship education could offer a broad, integrative,
pragmatic, and rational approach to business, avoiding the
problem of the continued increasing fragmentation of busi-
ness education into narrow specializations (Kuratko, 2005;
Zeithaml & Rice, 1987).
On the other hand, teaching entrepreneurship requires a
multidimensional and cross-disciplinary approach with an
emphasis on dynamic processes (Fayolle, 2007). In this re-
spect, Kuratko (2005: p. 584) notes the trend in “new inter-
disciplinary programs that use faculty teams to develop
programs for the nonbusiness students”. For this, universi-
ties need to change their structures with regard to their en-
trepreneurship classes, be cause they only offer these classes
to students from one or sometimes two disciplines (Fayolle,
2007).
According to the above considerations, the professors formed
multidisciplinary teams consisting of two distinct sets of stu-
dents: first, students studying one, and not more than one, of
computer, chemical or industrial engineering; and second, busi-
ness management students. The idea was that they work to-
gether to develop a business idea and draw up a business plan.
The students coming from the scientific-technical areas would
conceivably contribute a more technical and operational per-
spective to the project, while the business management students
would offer the vision and conceptualization of the business,
support in the market research, and above all the economic-
financial analysis. The business management students would be
acting as “business consultants”, advising the scientific-tech-
nical students in the development of the business plan.
The four professors teaching the courses involved partici-
pated in the project. Of the 217 students registered on the four
courses, a little over half (109) were studying one of the engi-
neering degrees and the rest were studying business manage-
ment. A total of 12 interdisciplinary teams of students were
established. The teams ranged in size from 11 to 20 members,
with a mean of 16.
After four months the results of the project were evaluated.
For this, the professors drew up a questionnaire to measure
participating students’ satisfaction with and evaluation of the
project. The next section describes this evaluation process and
the main results obtained.
Methodol og y of Ev al ua ti on
For the evaluation process a questionnaire was drawn up.
The questionnaire had its basis, on the one hand, on the dimen-
sions for assessing the quality of a project for testing an inno-
vative teaching methodology for entrepreneurship, and on the
other, on the attributes defining entrepreneurial activity ac-
cording to the Annual Report of the GEM Spain project (De la
Vega et al., 2009).
With regard to the quality of the project, and following
Mauri, Coll and Onrubia (2007), the questionnaire considered
four dimensions: implementation of the project; results of learn-
ing; fundamental elements of the innovative methodology; and
degree of satisfaction. The next step involved establishing a set
of indicators to define each dimension of the construct. These
variables made up the questionnaire sent to the students par-
ticipating in the project. Table 1 presents the items grouped
into the four main dimensions.
The population object of study consisted of all students offi-
cially registered, in January 2011, on one of the following
courses as part of their degrees: Management Accounting (MA);
Computer Systems Management (CSM); Business Administra-
tion and Organization of Production (BAOP); or Economics
and Industrial Organization (EIO). According to data from the
Office for Analysis and Planning at the University of La La-
guna, the total number of students officially registered on these
courses at that time was 217.
For the data collection the professors of these courses up-
loaded the questionnaire onto the corresponding Virtual Class-
room at the end of the first four-month term of the academic
year 2010-2011, after the students took their exams but before
they learned their grades in order to encourage greater homo-
geneity and objectivity in the responses.
The professors received 126 validly completed question-
naires, which represents a response rate of 63%. Table 2 shows
the response rate in each course.
The information collected was codified and stored in a data-
base for subsequent treatment (preliminary analysis of data
quality and replacement of absent data by the mean of the series
using the statistics program SPSS 19.0). The statistical analysis
of the data followed, and the following subsections look at the
results.
The SPSS 19.0 program was used to analyze the va lidity and
reliability of the measurement scale used to measure the quality
of the project to test the innovative methodology in entrepre-
neurship education. After confirming the normality and linear-
ity, the Cronbach alpha coefficient was calculated to evaluate
the internal consistency of the indicators of each latent variable.
The results show that each set of observed variables is repre-
sentative of its corresponding factor, since values close to or
exceeding 0.6 are considered acceptable in exploratory analyses
(Hair et al., 1999). Thus for Implementation of project and
Degree of satisfaction this statistic is lower than 0.6 but remains
acceptable because it exceeds the minimum of 0.5 (0.504 and
0.545, respectively). For the other two dimensions—Results of
learning and Fundamental elements of innovative methodol-
ogy—the statistic gives higher values (0.654 and 0.756, respec-
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