DocumentCode :
2534001
Title :
Hierarchical structuring of organizational performance using interpretive structural modeling
Author :
Jawad, Asil Nehad Abdel ; Bashir, Hamdi
Author_Institution :
Dept. of Ind. Eng. & Eng. Manage., Univ. of Sharjah, Sharjah, United Arab Emirates
fYear :
2015
fDate :
3-5 March 2015
Firstpage :
1
Lastpage :
7
Abstract :
Today´s intense competition forces organizations to examine how they can improve performance as they seek to enhance their competitiveness. In order to design and implement an effective program for performance improvement, the interrelations among performance criteria and factors affecting them need to be understood. For this purpose, this study used interpretive structural modeling to represent the interrelationships among seven performance criteria and 19 factors in a simple, hierarchical structure model. The bottom level of this structure contains 12 factors, namely employee selection, employee training , work environment, employee incentives, organizational culture, leadership style, efficiency, size of organization, organizational/commercial resources, product life cycle, internationalization, and employee satisfaction. This mean that any action improving performance must start from these factors. This study´s findings will be beneficial for organizations that are planning to enhance their performance.
Keywords :
employee welfare; organisational aspects; personnel; strategic planning; employee incentives; employee selection; employee training; hierarchical structuring; interpretive structural modeling; leadership style; organisational competitiveness; organizational culture; organizational performance improvement; planning; Adaptation models; Ethics; Meteorology; Organizations; Productivity; Technological innovation; Training; Interpretive Structural Modeling; Organization; performance criteria;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Operations Management (IEOM), 2015 International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4799-6064-4
Type :
conf
DOI :
10.1109/IEOM.2015.7093829
Filename :
7093829
Link To Document :
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