Mapping the aliran of the academic discipline of entrepreneurship: A ...
Mapping the aliran of the academic discipline of entrepreneurship: A ...
Mapping the aliran of the academic discipline of entrepreneurship: A ...
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collection process which provided a sound (verifiable) basis for a more qualitative analysis<br />
<strong>of</strong> such data, that evolved into content analysis with a discursive interpretation as part <strong>of</strong> an<br />
overall methodology that could be considered qualitative, but, by dint <strong>of</strong> my particular<br />
circumstances as a researcher, must, by Clark’s [2000] definition, be considered mixed.<br />
In terms <strong>of</strong> epistemology, quantitative research assumes <strong>the</strong> researcher to be<br />
independent from that being researched, approaching <strong>the</strong> research process in a<br />
value-free and unbiased manner. The qualitative paradigm assumes a different<br />
epistemology, one that presumes that <strong>the</strong> researcher does interact with that being<br />
researched and t hat a value-free research process is untenable [p2].<br />
As a business person, who has been entrepreneurial, studying how <strong>academic</strong>s approached<br />
<strong>the</strong> subject <strong>of</strong> <strong>entrepreneurship</strong>, with my own bias and prejudices on <strong>the</strong> subject, I needed<br />
to approach <strong>the</strong> ‘research process in a value-free and unbiased manner’. This was best<br />
served by having a quantitative data collection process, that could be verified to ensure any<br />
prejudices I may possess had not become integrated into that part <strong>of</strong> <strong>the</strong> process.<br />
3.1.1.06 However, given my 25 years <strong>of</strong> being a business person, I do consider myself to<br />
have solid experience in <strong>the</strong> application <strong>of</strong> <strong>entrepreneurship</strong>. In such case my (self<br />
proclaimed) expert status qualifies me to look at <strong>the</strong> data, collected through a quantitative<br />
process and, analyse that data qualitatively. It can be assumed that, in this part <strong>of</strong> <strong>the</strong><br />
process, ‘<strong>the</strong> researcher does interact with that being researched’ in as much that I am like<br />
<strong>the</strong> figurative laboratory rat mentioned earlier. However while some research looks at<br />
‘<strong>the</strong>ory development and <strong>the</strong>ory testing’ [Mahoney, 2005, p4], my own aim is <strong>the</strong><br />
development <strong>of</strong> <strong>the</strong> <strong>the</strong>ories <strong>of</strong> knowledge as discussed in Part Two and <strong>the</strong> illustration <strong>of</strong><br />
<strong>the</strong>se <strong>the</strong>ories with <strong>the</strong> application <strong>of</strong> an epistemic analysis <strong>of</strong> <strong>the</strong> Web <strong>of</strong> Science database<br />
on ‘<strong>entrepreneurship</strong>’.<br />
3.1.1.07 The second issue referred to in section 3.1.1.03 above is <strong>the</strong> ‘perceived strong<br />
dichotomous delineation between <strong>the</strong> qualitative and <strong>the</strong> quantitative’, be <strong>the</strong>se in reference<br />
to ei<strong>the</strong>r methodologies or data collection processes. My perception is that, in academia,<br />
<strong>the</strong>re is sometimes an established sense <strong>of</strong> mutual exclusivity between <strong>the</strong> qualitative and<br />
<strong>the</strong> quantitative that <strong>of</strong>fers only a simple dialectic whereas it may be possible that, without<br />
such mutual exclusivity, a range <strong>of</strong> possibilities, greater than a simple dichotomous choice,<br />
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