Applying QCA with Fuzzy Logic to Generate a Refined set of Factors for Information Systems Adoption: The Case of Public Ecuadorian Organization, an Example of IS Adoption in Emerging Economies

Nayeth I. Alcivar, Louis Sanzogni, Luke Houghton

Abstract


Information Systems (IS) research continues to contribute to a long list of technology adoption factors from many studies conducted outside the Latin American (LAT) nations. These investigations fail to appropriate the context of IS adoption in LAT. This fail is mainly due to the geographical scope of existing studies. Those aimed at North America for example, are out of context regarding a diverse technological approach when applied to LAT. Further, uncertainty and an inability to predict outcomes of technology adoption, create variances in results because the local contexts are not considered. The reasons for this are unclear from existing studies. To detailed explore this problem further, a Qualitative Comparative Analysis (QCA) was applied to LAT economies, expecting to assess a refined set of drivers from existing technology adoption studies. A Fuzzy Logic process was used to refine these drivers. The research found that fourteen themes are candidates for future study purposes. The drivers provide LAT stakeholders, as well as actors from other emerging economies, with a contextual frame that can be the basis for adopting technology more meaningfully within these nations

Keywords


Fuzzy-logic; Qualitative-Comparative-Analysis; fs/QCA; Information-System Adoption; Latin-America; Ecuador; Public Organization

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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