Published In
2019 Portland International Conference on Management of Engineering and Technology (PICMET)
Document Type
Article
Publication Date
2019
Subjects
Technology assessment, Technological innovations -- Management, Health facilities -- Technology -- Management, Hierarchical decision model
Abstract
Maturity Models are organizational management tools that have been developed and used for decades as organizations' way of responding to the constant pressure of trying to achieve and maintain competitive advantage through concurrent innovation, quality improvement, and cost reduction. The decision makers in the healthcare industry have been no exception in reaping the benefits of determining the merits and weaknesses of strategies through systematic quality improvement provided by maturity models. Although there are many healthcare maturity models in literature, there is a lack of models that provides managers and decision makers with a systematic, multi-criteria, and quantifiable maturity model. This paper proposes an exploratory model to assess technology management maturity in healthcare organizations by using Hierarchical Decision Model (HDM). The model may help health organizations with pinpointing their strengths and weaknesses in the adoption and implementation of new technologies and technological approaches such as Learning Health Systems (LHS) and their socio-technical infrastructure, while giving them organizational and competitive self-awareness and guide them in setting their strategies and resource allocation. The model will serve as a much-needed technology management tool for hospitals to assess their technology management maturity for both public and organization's advantage in a more effective way.
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DOI
10.23919/PICMET.2019.8893755
Persistent Identifier
https://archives.pdx.edu/ds/psu/32696
Citation Details
A. Shaygan and T. Daim, "Technology Management Maturity Assessment Model: An Exploratory Multi-Criteria Approach for Healthcare Organizations," 2019 Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, USA, 2019, pp. 1-9.
Description
This is the publisher's final PDF. Copyright 2019 by PICMET. Paper delivered at the 2019 Proceedings of PICMET '19: Technology Management in the World of Intelligent Systems