Technology Attributes, Organizational Learning Attributes, Service Attributes, and Electronic Health Record Implementation Success

ECU Author/Contributor (non-ECU co-authors, if there are any, appear on document)

ANURADHA RANGARAJAN (Creator)

Institution

East Carolina University (ECU )

Web Site: http://www.ecu.edu/lib/

Abstract: Electronic Health Record (EHR) is a technology innovation which has the potential to offer valuable benefits to the healthcare industry such as improved quality of patient care and safety, optimization of healthcare workflow processes and availability of electronic data for clinical research. The implementation success of EHR is therefore significant to the healthcare industry in the United States and around the world. Prior studies in research literature have considered the impact of technology attributes, organizational learning attributes, and service attributes on information technology implementations in various other domains based on theories such as Theory of Reasoned Action (TRA), Theory of Planned Behavior (TRB) and Technology Acceptance Model (TAM), but none have considered their association with implementation success in a comprehensive manner within a single study pertaining to the healthcare domain as this study does. Hence, this study addresses an essential research gap. The approach used by this study in conducting the research based on a multi-factor research model (including the aforementioned attributes) is consistent with the general method used by academic researchers whereby the ability of a unique and selective list of factors to predict certain outcomes is leveraged. The data for this research study was collected using a questionnaire survey instrument based on the Likert scale. Structural Equation Modeling (SEM) was used for data analysis due to the presence of latent variables in the research model. The results of the statistical analyses support the hypotheses confirming positive associations between technology attributes (ease of use, result demonstrability, performance expectancy), organizational learning attributes (organizational learning capability, organizational absorptive capacity), service attributes (service-dominant orientation), and EHR implementation success. The results of this study are of importance to both academicians and practitioners.

Additional Information

Publication

Thesis

Language: English

Date: 2020

Keywords

Information Science; Information Technology; Health Care Management

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