The Effects of Information Systems Quality on Nurses’ Acceptance of the Electronic Learning System

Yung‐Ming Cheng

57 citations0/0 files storedJournal of Nursing Research

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Technology Adoption and User Behaviour Online and Blended Learning Electronic Health Records Systems

Abstract

BACKGROUND: To ensure the quality of healthcare provision, nurses must continuously enhance their professional knowledge and competencies via continuing education. As compared with traditional learning, electronic learning (e-learning) is a more flexible method for nurses' in-service learning. Hence, e-learning is expected to play a key role in providing continuing education for nurses. PURPOSE: The main purpose of this study was to examine whether system quality, information quality, service quality, and user-interface design quality as the antecedents to nurse beliefs can affect nurses' intention to use the e-learning system. METHODS: A cross-sectional design was used to investigate the effects of information systems quality on nurses' acceptance of the e-learning system. This study gathered sample data from nurses at 3 hospitals in Taiwan. A total of 450 questionnaires were distributed, and 320 effective questionnaires were analyzed in this study, indicating an effective response rate of 71.1%. Collected data were analyzed using structural equation modeling. RESULTS: System quality, information quality, and user-interface design quality had significant effects on perceived usefulness (PU), perceived ease of use (PEOU), and perceived enjoyment (PE), and service quality had significant effects on PU and PEOU. Moreover, PEOU had significant effects on PU and PE, and the effects of PU, PEOU, and PE on intention to use were significant. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: User-interface design quality is the most key antecedent that can make significant impacts on nurses' PU and PE, and more efforts should be made to develop a friendlier user interface via designing useful and enjoyable features to induce nurses to use the e-learning system. Moreover, system quality can make the greatest impact on nurses' PEOU; thus, medical institutions should effectively enhance system quality to deliver benefits and pleasure to boost nurses' usage intention of the e-learning system via reducing the complexity.

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1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1988Structural equation modeling in practice: A review and recommended two-step approach.1988On the Evaluation of Structural Equation Models 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2003The DeLone and McLean Model of Information Systems Success: A Ten-Year Update 1979Review of Psychometric theory (2nd ed.).1992Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1

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