Data Selection and Sampling Methodology Sample Clauses

Data Selection and Sampling Methodology. In the first place, I would like to explain my preparations for the design of this study under this title. I categorized all the firms in METUTECH under 4 different clusters, taking their percentages in terms of sectoral distribution into account: Software & ICT, Electronics, Design and Other (Below 10%). First 3 clusters consist of firms the sectoral distribution percentage of which is above 10%, whereas the Other (Below 10%) cluster represents all the other firms whose percentage is way below this 10% threshold. Keeping the sectoral distribution of the clusters I draw my sample and conducted the semi-structured interviews which I mentioned above. The interview questionnaire that I prepared involves questions related to firms’ scales (large vs. SMEs) financial situation and other success criteria like IPR success, as well as evaluating the firms’ opinions regarding my four important constituent (as explained in the “Introduction” part of the thesis) and their sub-titles: Concerning their senses of R&D and innovation, sectoral diversification/concentration, internal and external support mechanisms of METUTECH and the infrastructural characteristics of METUTECH. Thus, first the physical profiles (scale, project numbers, IPR success etc) are drawn from the quantitative data taken from the firms. After that, firm’s views on four main constituent is taken as qualitative data from the firms themselves. Lastly, the views of the firms on their positive-negative perspectives of cooperation among themselves are taken. Here the aim is, after taking the physical profiles of the METUTECH firms, there are result sets emerging based on the relations between the firms’ sectors perspectives to cooperation and other four constituents. Due to time constraints, I set the number of firms I would like interview as 15% of the whole population: 43 firms were interviewed over 283 firms of METUTECH. The second criterion is related to sectoral distribution. I decided to set a 10% threshold for each sector to get a “representative” sample of the firms. At this point, to figure out which sectors has expanded more in METUTECH up to this day; the data provided by METUTECH management is used. The sectors over 10% threshold (i.e. the number of firms belonging to that particular sector is more than 10% of the all firms of METUTECH) are Software & ICT, Electronics and Design. Other sectors had a lower number of firms, below 10% of the whole population of METUTECH firms. Therefore, I paid a...
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