Using Fuzzy Logic in QCA for the Selection of Relevant IS Adoption Drivers in Emerging Economies

Nayeth I. Solorzano Alcivar, Luke Houghton, Louis Sanzogni
2018 Proceedings of the 7th International Conference on Software and Information Engineering - ICSIE '18  
Information Systems (IS) research continues to contribute to a long list of technology adoption factors from research studies conducted outside the Latin American (henceforth LAT) nations. These studies fail to appropriate the context of IS adoption in LAT. This is mainly because the context of existing studies, namely those aimed at North America for example, do not have the same technological facilities that LAT nations do. This greatly inhibits the ability of these studies to be applied to
more » ... to be applied to the LAT context. Further, uncertainty and an inability to predict outcomes of technology adoption creates variances in results due to the fact that context is not considered. The reasons for this are unclear from existing studies. To explore this problem further, a Qualitative Comparative Analysis (QCA) was applied to LAT economies 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 research purposes. The drivers provide LAT stakeholders, as well actors from other emerging economies, with a contextual frame that can be the basis for adopting technology more meaningfully within these nations.
doi:10.1145/3220267.3220285 fatcat:oxdi7lh2wncnnfg2hirnmmi2xy