Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/27774
Title: Criteria for Measuring Organisational Performance in Nigeria Construction Industry.
Authors: Okigbo, Olushola Ndefo
Saidu, Ibrahim
Ola-awo, Adeniran Wasiu
Adamu, Anita Dzikwi
Keywords: Construction
Criteria
Measuring
Organisation
Performance
Issue Date: Dec-2022
Publisher: Centre for Entrepreneurial Development, Federal University Lafia, Nigeria
Citation: 17. Okigbo, O.N, Saidu, I., Ola-awo, W.A., & Adamu, A.D (2022). Criteria for Measuring Organisational Performance in Nigeria Construction Industry. FULafia Journal for Entrepreneurial Development, 2(1). 217-236
Series/Report no.: 2(1);
Abstract: Performance criteria is a principle or standard by which the performance of an organisation may be judged or decided. All the models, frameworks and indices used in measuring organisation performance are based on one criterion or thee other. Most of these frameworks have failed due to in-comprehensive and non-consideration of criteria that suit the environment where an organisation is based. This study aimed at determining the criteria for industry. In achieving this nine criteria were drawn out from the literature, and the effect of these criteria on organisational performance was determined using multiple regression analysis. Eighty organisations from the federation of the construction industry were used for this study.The targeted respondents were management members of these 85 organisations. 366 questionnaires were distributed and 301 questionnaires were retrieved making 82% of the response rate. The analysis showed a positive and significant effect of eight criteria. These showed that the criteria could be used as a measure of organisational performance. The study concluded that a framework for measuring organisational performance could be developed using the nine criteria.The study recommended a detailed focus on the nine criteria when measuring organisational performance.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/27774
ISSN: 29716950
Appears in Collections:Quantity Surveying

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