The ABCD Validation Management Tool for business excellence models

SAAD, Sameh and AL AFIFI, Maan (2015). The ABCD Validation Management Tool for business excellence models. WSEAS Transaction on Business and Economics, 12, 363-376.

Saad - ABCD validation management tool for business excellence models (pub).pdf - Published Version
All rights reserved.

Download (630kB) | Preview
Official URL:
Related URLs:


This paper introduces a new developed validation management tool for business models using ABCD Model Analysis. We define the ABCD Management as “Achievement Because Continuous Development” and the validation tool based on the set of steps i.e. Analyse, Build, Check, and then Decide. The core of the validation tool development is formed by combination of well-known quality management tools: Deming Cycle, RADAR logic and using the application of statistical tools: structural equation modelling, SPSS and AMOS. The approach used in this paper is to extend the well-known quality management methods combined with the available Structural Equation Modelling and AMOS for building and validating the business excellence models. The design of ABCD Model Analysis is based on a new method of direct and/or indirect path valuation that divides relationships paths into categories based on ABCD alphabetical coding, and provide a systematic, sequential manner and logical view based on ABCD rule of thumb that enable the analysing process to take place with ease and accuracy prior to and during the validation process. The study shows that the ABCD Model Analysis is a very useful management tool for validation due to its systematic, simple, easy to remember, implement and to refine. In addition, the Path Analysis in the ABCD Model is a better version of the known Path Analysis techniques.

Item Type: Article
Additional Information: Art. #34
Uncontrolled Keywords: Validation Process, ABCD Model Analysis, Business Excellence Model
Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Systems Modelling and Integration Group
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
Page Range: 363-376
Depositing User: Sameh Saad
Date Deposited: 16 Nov 2016 12:07
Last Modified: 18 Mar 2021 16:09

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics