scholarly journals Technology Management Maturity Assessment Model: An Exploratory Multi-Criteria Approach for Healthcare Organizations

Author(s):  
Amir Shaygan ◽  
Tugrul Daim
Author(s):  
Nadia Ramadan ◽  
Mazen Arafeh

Purpose Healthcare providers differ in their readiness and maturity levels regarding quality and quality management systems applications. The proposed model serves as a useful quantitative quality maturity level assessment tool for healthcare organizations. Design/methodology/approach The model proposes five quality maturity levels (chaotic, primitive, structured, mature and proficient) based on six quality drivers: top management, people, operations, culture, quality focus and accreditation. Findings Healthcare managers can apply the model to identify the status quo, quality shortcomings and evaluating ongoing progress. Practical implications The model has been incorporated in an interactive Excel worksheet that visually displays the quality maturity level risk meter. The tool has been applied successfully to local hospitals. Originality/value The proposed six quality driver scales appear to measure healthcare provider maturity levels on a single quality meter.


2013 ◽  
Vol 12 (01) ◽  
pp. 3
Author(s):  
Evandro Alencar Rigon ◽  
Carla Merkle Westphall

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254522
Author(s):  
Tzu-Chieh Lin ◽  
Kung Jeng Wang

As smart technology proliferates, enterprises must engage not only in the transformation of intelligence but contend with pressure do so as soon as possible. Smart transformation is critical for manufacturing enterprises in the development of smart manufacturing. This study addressed the gap between maturity models and project management by designing an effective assessment framework for smart transformation. It adopts the Smart Industry Readiness Index, created by the Singapore Economic Development Board, as a maturity assessment model to analyze enterprises’ smart transformation and formulate project management strategies. Enterprises can use this model to examine the maturity level of their transformation and assess scope for improvement in their project strategies and implementation barriers. This study focuses on Taiwanese enterprises using data collected from 165 valid questionnaires and subjected to a cluster analysis. Enterprises were divided into three categories. The results reveal that, first, most enterprises’ smart transformation is at an immature or medium-maturity level, and is therefore amenable to further improvement. Second, inconsistent with research findings, many enterprises invest in transformation projects but fail to advance these projects to maturity. Third, most enterprises’ project management plans fail to meet actual transformation needs. Using the thematically oriented maturity model proposed in this study, Taiwanese enterprises can effectively evaluate the maturity of their transformation projects. In conclusion, the study highlights that Taiwanese enterprises must identify more effective external resources to strengthen their competitiveness.


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