The growth interest for adoption of improvement initiative indicate the important of improvement to improve extensive evolution of improvement initiative introduces throughout the decades compared to the initial introduction of improvement initiative. However, the existence of bundle of improvement initiative provide difficulties to organization to select most suitable improvement to be adopted. In addition, the failure deployment of improvement initiative in numerous organizations frequently reported with poor selection becomes one of source of failure. In the absence of explicit key decision criteria, decision maker highly depend on subjective judgements which biased to the experience and follow the fashion setting. This research aims to fill this gap by investigating the selection of improvement initiative to aid optimize decisions by bringing all influential criteria together in one model. This research incorporated two phases start with the development of conceptual model through comprehensive literature searching by adoption of systematic literature review (SLR) and continue with the semi-structured interview with the seven experts. The agreement among the experts was analyzed through Kendall Coefficient of Concordance which indicate strong agreement, w = 0.713 for the selection model proposed earlier. The mean rank of each attribute contributes to the selection also provided as an importance factor to be considered while selecting the improvement initiative. Finally, the model introduced enable organization to select the improvement initiative in comprehensive and structured manner through consideration of wider selection attribute which is significant part of organization to carefully select improvement initiative to evade the problem of initiative overload to ensure successful implementation of improvement.
CITATION STYLE
A W, M. I. (2020). Development of Rational Selection Model for Improvement Initiatives. International Journal of Advanced Trends in Computer Science and Engineering, 9(1.1 S I), 174–181. https://doi.org/10.30534/ijatcse/2020/3291.12020
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