knowledge in relation to the particular topic,
situation or functional purpose (Kramiņa, 2000).
Finally, learning factors include the age of
students, affective factors, namely, emotions, self-
esteem, empathy, anxiety, attitude, motivation, and
learning experience (Shumin, 1997).
5 EMPIRICAL RESULTS
The research questions are as follows: which of
three groups of factors (factors forming
communication, educator’s purposeful activity and
learning factors) and how influence e-business
application in tertiary education? Hence, the
research is aimed at analyzing factors that influence
e-business application in tertiary education.
Interpretative research paradigm has been
determined.
The qualitatively oriented research used in the
present empirical study allows the construction of
only few cases (Mayring, 2007). Moreover, the
cases themselves are not of interest, only the
conclusions and transfers that are drawn from this
material (Mayring, 2007).
Selecting the cases for the case study comprises
use of information-oriented sampling, as opposed to
random sampling (Flyvbjerg, 2006). This is because
an average case is often not the richest in
information. In addition, it is often more important
to clarify the deeper causes behind a given problem
and its consequences than to describe the symptoms
of the problem and how frequently they occur
(Flyvbjerg, 2006).
The present empirical study was conducted
during the implementation of the Digital Social
Media module within the Seventh Baltic Summer
School Technical Informatics and Information
Technology in Riga Technical University, Riga,
Latvia, August 12-27, 2011. The sample involved 25
respondents.
All 25 respondents have got Bachelor or Master
Degree in different fields of computer sciences and
working experience in different fields. The
respondents are from different countries, namely,
Latvia, Lithuania, Estonia, Russia, Great Britain,
China, India, Nigeria, Romania and Mexico. Hence,
the sample is multicultural. Whereas cultural
similarity aids mutual understanding between people
(Robbins, 2007), the students’ different cultural and
educational backgrounds contribute to successful
learning.
The Baltic Summer School contains a special
module on Digital Social Media. The main aim of
the Digital Social Media module is to actively
involve the student engineers in e-business
application by providing innovative opportunities
and organizing student engineers’ cognitive activity.
The content of the Digital Social Media module
examines the advantages and problems of this
technology, namely, architecture and management,
protocol design and programming, which makes new
social communication forms possible. The Digital
Social Media module does not reveal the concept of
e-business technologies. However, the Digital Social
Media module comprises e-business technologies,
namely, online networks.
The qualitative evaluation research comprised
the analysis of the students’ self-evaluation. The
structured interviews included three questions: 1.
What is your attitude to the Digital Social Media
module? 2. What have you learned within the
module? 3. How can you apply this knowledge in
your professional field? The aim of the interviews
was to reveal the students’ evaluation of the
implementation of the Digital Social Media module.
The students’ expressions from the structured
interviews were systematized according to eight
constructs: four constructs of external factors and
four constructs of internal factors, namely, factors
that form communication include aural medium,
socio-cultural factors and non-verbal communication
system, educator’s purposeful activity and learning
factors comprise age of students, affective factors,
motivation and learning experience.
The data were processed applying AQUAD 6.0
software. The determined codes were systematized
into meta-codes corresponding to a dimension of the
factor, namely, external and internal factor. It was
discovered that not all meta-codes and codes could
be traced in the students’ structured interviews, for
example, time for the Digital Social Media module
limited. Moreover, the students’ expressions in the
structured interviews could not be systematized
according to the following codes: socio-cultural
factors and motivation.
Most of the students’ expressions are categorized
as to the meta-code Factors forming communication,
namely, aural medium, whereas the students
participated in the whole Digital Social Media
module.
Frequencies were determined to reveal the
factors the students had mentioned most frequently.
The survey showed that the students had paid their
attention to the external factors most frequently as
demonstrated in Table 2.
For example, a student emphasized the positive
evaluation of communication in the Digital Social
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