Identification and prioritisation of the critical success factors for research project-based organisations using fuzzy analytic hierarchy process

2019 ◽  
Vol 31 (3) ◽  
pp. 354
Author(s):  
Mehdi Tabaroki ◽  
Changiz Valmohammadi ◽  
Nader Khalesi
Author(s):  
Revaz Vachnadze

The purpose of this paper is to provide an integrated approach that prioritizes organizational performance measures and critical success factors towards the strategic objectives and initiatives of a firm. The Analytic Hierarchy Process (AHP) pair-wise comparisons and hierarchic composition technique is used to prioritize the key performance indicators (KPIs) and the key result indicators (KRIs) as well as the critical success factors (CSFs) of the organization within the frame of a single hierarchy. The new model presented in the paper will be more suitable for dealing with the problem than the others which are available. The application of the suggested model will enable staff to more closely align their daily activities to the strategic objectives of the firm.  The suggested approach allows for a wide applicability to different types of organizations (business, nonprofit, public) and its use could significantly improve resource allocation and the overall performance in organizations.


2006 ◽  
Vol 03 (03) ◽  
pp. 303-319 ◽  
Author(s):  
TRITOS LAOSIRIHONGTHONG ◽  
SHAMS-UR RAHMAN ◽  
KHAMMEE SAYKHUN

Six-Sigma is a well-established and one of the most recognized approaches in manufacturing strategy development. Companies who have adopted and successfully implemented such a methodology were found to be more innovative which led to increased customer satisfaction and an improved bottom line. The aim of this study is to identify factors for successful Six-Sigma implementation by using the Analytic Hierarchy Process (AHP). The study involves four phases, which include: (1) assessment of potential factors and performance measures in Six-Sigma implementation (2) development of the problem structure and building the AHP model (3) soliciting and compilation of opinion on preferences through expert interviews, and (4) determination of critical success factors. Twenty-one experts, consisting of three-project champions and eighteen-black belts from five multinational companies located in Thailand, were interviewed. Expert Choice® software was used to compute the normalized and unique priority weights. The results of the data analysis determined the relative importance of individual factors, and in turn identified the critical factors on which organizations should consolidate their efforts in the process of implementing Six-Sigma methodology.


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