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Abstract - Quest for Global Competitiveness - Universidad de Puerto ...

Abstract - Quest for Global Competitiveness - Universidad de Puerto ...

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ased on their personal experiences and backgrounds as well as their un<strong>de</strong>rstanding ofentrepreneurialism and what it means to them (Babbie, 2007; Maxwell, 2005).Suddaby (2006) suggests that groun<strong>de</strong>d theory is more appropriate whenwanting to learn how individuals interpret reality—in our case how lea<strong>de</strong>rs an<strong>de</strong>ntrepreneurs perceive the entrepreneurial environment and its socio-economic role in<strong>Puerto</strong> Rico. Groun<strong>de</strong>d theory emphasizes the observation of patterns in the data thathelp us to build theories directly from “the actual meanings and concepts used by socialactors in a real setting” (Gephart, 2004: 457). Groun<strong>de</strong>d theorists aim to remain “open”to the data by resisting commitment to a prior theory or assumption. The groun<strong>de</strong>dtheorist’s commitment to “openness” is also reflected in the data collection process.The conducted semi-structured interviews comprised of open-en<strong>de</strong>d questionsthat maximized respon<strong>de</strong>nts’ opportunities <strong>for</strong> free expression while allowing us to gui<strong>de</strong>the general direction of the interviews. Consi<strong>de</strong>ring the same way, trying to avoidimplicit hypothesis-testing and instead allows <strong>for</strong> inductive reasoning to prevail.Nevertheless, this knowledge implies the possibility of a bias on the part of the author,since a theory-free individual, without expectations when collecting and analyzing datais unrealistic. Two important characteristics of groun<strong>de</strong>d theory are constantcomparison and theoretical sampling. Constant comparison refers to the researcher’scontinual examination and comparison of data or a simultaneously collected andanalyzed process. This implies immediate active immersion in the data rather than itspost-collection management. Theoretical sampling also refers to the researcher’srecognition that the data, rather than a prior <strong>de</strong>sign <strong>de</strong>cision, dictates when the datacollection terminates. Consequently, the size and composition of the sample may besuggested, but not dictated by prior <strong>de</strong>sign. Two main principles un<strong>de</strong>r the theoreticalsampling are appropriateness and a<strong>de</strong>quacy (Glaser, 1967). Appropriateness wasachieved by carefully selecting participants who were knowledgeable about the areabeing explored, while a<strong>de</strong>quacy was addressed by continuing the sampling and codinguntil theoretical saturation was reached.9

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