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The Impact of Information Systems on End User Performance: Examining the Effects of Cognitive Style Using Learning Curves in an Electronic Medical Record Implementation
Author(s) -
Alexander McLeod,
Jan Guynes Clark,
J.E. Warren,
Glenn Dietrich
Publication year - 2008
Publication title -
communications of the association for information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.576
H-Index - 48
ISSN - 1529-3181
DOI - 10.17705/1cais.02209
Subject(s) - proposition , cognitive style , style (visual arts) , metropolitan area , cognition , learning curve , psychology , task (project management) , cognitive psychology , computer science , engineering , medicine , geography , philosophy , archaeology , epistemology , pathology , systems engineering , operating system , neuroscience
This study examines the relationship between cognitive style (adaptors versus innovators) and the learning curve when implementing new information technology. Kirton’s proposition that adaptors and innovators find equally creative ways of solving problems based on cognitive preferences was tested using a longitudinal case study. Test subjects were paramedics from a large metropolitan area. Cognitive style of the paramedics was determined, along with their individual learning curve when transitioning from a paper medical record to an electronic medical record. Results indicate Kirton’s proposition of equal performance between adaptors and innovators was only supported during stable periods. There was no statistically significant difference between adaptors and innovators either before implementation of the new system or post-stabilization. However, following system implementation, adaptors and innovators differed significantly with regard to their initial change in task completion times, pattern of learning, and the number of days required to reach stabilization.

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