DocumentCode :
3578827
Title :
Total Information Quality Management-Capability Maturity Model (TIQM-CMM): An information quality management maturity model
Author :
Suhardi ; Agung Rama Gunawan, I. Gusti Ngurah ; Dewi, Ardani Yustriana
Author_Institution :
Sch. of Electr. Eng. & Inf., Inst. Teknol. Bandung, Bandung, Indonesia
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
Information quality has received great attention from both academics and practitioners since it plays an important role in decision-making process. The need of high information quality in organization is increase in order to reach business excellent. Total Information Quality Management (TIQM) offers solution to solve information quality problems through a method for building an effective information quality management (IQM) with continuous improvement in whole process. However, TIQM does not have a standard measure in determining the process maturity level. Thus causes TIQM process maturity level cannot be determined exactly so that the assessment and improvement process will be difficult to be done. The contribution of this research is the process maturity indicators and measures based on TIQM process and Capability Maturity Model (CMM) concepts. It have been validated through an Expert Judgment using the Delphi method and implemented through a case study.
Keywords :
Capability Maturity Model; continuous improvement; total quality management; Capability Maturity Model; Delphi method; TIQM-CMM; continuous improvement; decision-making process; expert judgment; information quality management maturity model; information quality problems; organization; process maturity indicators; process maturity level; process maturity measures; total information quality management; Capability maturity model; Coordinate measuring machines; Organizations; Process control; Quality management; Standards organizations; Training; capability maturity model; information quality; maturity measurement; total information quality management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data and Software Engineering (ICODSE), 2014 International Conference on
Print_ISBN :
978-1-4799-8175-5
Type :
conf
DOI :
10.1109/ICODSE.2014.7062675
Filename :
7062675
Link To Document :
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