Abstract
Computerized information systems are viewed as innovations in the health care delivery system and are used by nurses to support the management of clinical and administrative information. The development, implementation and use of computerized information systems are viewed as predictable activities in the future health care environment. Adoption of these innovations is critical to the achievement of improved information management. Nurses are challenged to direct these activities to achieve efficiency, effectiveness and productivity in the delivery of health care services. The adoption of information systems is envisioned as a vehicle to enhance and improve the quality of information and ultimately the quality of nursing practice. This study explored factors that influence the adoption of a computerized information system as an innovation after it is first introduced to members of a social system. Individual, technological and organizational characteristics were investigated as predictors of adoption using multiple regression analyses, and the effect of organizational position on adoption was analyzed.
Sigma Membership
Pi at-Large, Tau Theta
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Quantitative Research
Keywords:
Digital Records, Innovation, Technology Adoption
Advisor
Mary Etta Mills
Degree
PhD
Degree Grantor
University of Maryland, Baltimore
Degree Year
1993
Recommended Citation
Romano, Carol A., "Predictors of nurse adoption of a computerized information system as an innovation" (2019). Dissertations. 302.
https://www.sigmarepository.org/dissertations/302
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2019-05-23
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 9323957; ProQuest document ID: 304102474. The author still retains copyright.