A Business Destiny Forecast Model
In every region, Small and Medium Enterprises (SME) make a huge contribution to the gross domestic-product (GDP) and employment. Basically Small Medium-sized Enterprises (SMEs) are non-subsidiary and also independent firm which employ fewer total of an employees. Usually this number are varies acr...
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Romanian Society for Quality Assurance - SRAC
2017
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ump-197842018-02-22T02:36:54Z http://umpir.ump.edu.my/id/eprint/19784/ A Business Destiny Forecast Model Sorooshian, Shahryar Amira, Mohd Mustafa AI Indexes (General) In every region, Small and Medium Enterprises (SME) make a huge contribution to the gross domestic-product (GDP) and employment. Basically Small Medium-sized Enterprises (SMEs) are non-subsidiary and also independent firm which employ fewer total of an employees. Usually this number are varies across countries. However not all of the involvement of SMEs are successful. So the purpose of this research is to identify the criteria of Performance Measurement System (PMS) that can predict the failure and success in small medium-sized enterprises (SMEs) in Malaysia and develop a model to predict success and failure of SMEs in Malaysia using theory of constraints approach. Basically theory of constraint is a method to identify, analyze and also eliminate the constraints that been identified stop the firm from getting any new additional values process. Therefore, using logit regression was used to analyze the data collection for this research. So that, it will help this research to develop new model in order to predict new SMEs destiny. Romanian Society for Quality Assurance - SRAC 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19784/1/A%20Business%20Destiny%20Forecast%20Model.pdf Sorooshian, Shahryar and Amira, Mohd Mustafa (2017) A Business Destiny Forecast Model. Quality - Access to Success, 18 (160). pp. 150-155. ISSN 1582-2559 http://www.srac.ro/calitatea/en/arhiva/2017/2017-05-Abstracts.pdf |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
AI Indexes (General) |
spellingShingle |
AI Indexes (General) Sorooshian, Shahryar Amira, Mohd Mustafa A Business Destiny Forecast Model |
description |
In every region, Small and Medium Enterprises (SME) make a huge contribution to the gross domestic-product (GDP)
and employment. Basically Small Medium-sized Enterprises (SMEs) are non-subsidiary and also independent firm
which employ fewer total of an employees. Usually this number are varies across countries. However not all of the involvement of SMEs are successful. So the purpose of this research is to identify the criteria of Performance
Measurement System (PMS) that can predict the failure and success in small medium-sized enterprises (SMEs) in
Malaysia and develop a model to predict success and failure of SMEs in Malaysia using theory of constraints
approach. Basically theory of constraint is a method to identify, analyze and also eliminate the constraints that been identified stop the firm from getting any new additional values process. Therefore, using logit regression was used to analyze the data collection for this research. So that, it will help this research to develop new model in order to predict new SMEs destiny. |
format |
Article |
author |
Sorooshian, Shahryar Amira, Mohd Mustafa |
author_facet |
Sorooshian, Shahryar Amira, Mohd Mustafa |
author_sort |
Sorooshian, Shahryar |
title |
A Business Destiny Forecast Model |
title_short |
A Business Destiny Forecast Model |
title_full |
A Business Destiny Forecast Model |
title_fullStr |
A Business Destiny Forecast Model |
title_full_unstemmed |
A Business Destiny Forecast Model |
title_sort |
business destiny forecast model |
publisher |
Romanian Society for Quality Assurance - SRAC |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/19784/ http://umpir.ump.edu.my/id/eprint/19784/ http://umpir.ump.edu.my/id/eprint/19784/1/A%20Business%20Destiny%20Forecast%20Model.pdf |
first_indexed |
2023-09-18T22:28:22Z |
last_indexed |
2023-09-18T22:28:22Z |
_version_ |
1777416119542349824 |