The use of mixed-methods research to diagnose the organisational performance of a local government

SA Journal of Industrial Psychology

 
 
Field Value
 
Title The use of mixed-methods research to diagnose the organisational performance of a local government
 
Creator Olivier, Benjamin H.
 
Subject organisational behaviour; organisational development organisational development; action research; Burk-Litwin model; triangulation; district municipality
Description Orientation: The majority of local governments in South Africa are underperforming; a first step to improve their performance is to accurately diagnose their current functioning. The utilisation of a mixed-methods approach for this diagnosis based on a valid model of organisational performance will form a better and holistic understanding of how a local government is performing.Research purpose: The aim of this study is to investigate the utility of mixed-methods research as a diagnostic approach for determining the organisational performance of a local government in South Africa.Motivation for the study: The use of either quantitative or qualitative data gathering in isolation as part of an organisational diagnosis can lead to biased information and not identifying the root causes of problems. The use of mixed-methods research in which both quantitative and qualitative data gathering methods are utilised has been shown to produce numerous benefits, such as confirmation of gathered data, providing richer detail and initiating new lines of thinking. Such multiple methodologies are recognised as an essential component of any organisational diagnosis and can be an effective means of eliminating biases in singular data gathering methods.Research design, approach and method: A concurrent transformative mixed-methods strategy based on the Burke–Litwin model of organisational performance with triangulation of results and findings to determine convergence validity was used. A convenience sample of 116 (N = 203) permanent officials in a rural district municipality in South Africa completed a survey questionnaire and were also individually interviewed.Main findings: Results indicate that mixed-methods research is a valid technique for establishing the integrity of survey data and for providing a better and holistic understanding of the functioning of an organisation. The results also indicate that the Burke–Litwin model is a useful and valid diagnostic framework for identifying the strengths and development areas of an organisation’s performance. Finally, the results established the reliability and validity of the survey instrument used for gathering data.Practical and managerial implications: A mixed-methods research approach is a useful method to diagnose organisations’ performance to ensure data integrity and to obtain a comprehensive picture of an organisation’s performance. A further practical implication is that managers and practitioners can use the Burke–Litwin model as a basis for diagnosing the performance of an organisation with confidence, as it identifies the most important aspects of an organisation’s functioning.Contribution and value add: Organisational diagnoses are usually conducted by either quantitative or qualitative means, while the use of mixed-methods research is a relatively underutilised approach. This study aims to contribute to the availability of research approaches for diagnosing the performance of organisations.
 
Publisher AOSIS
 
Contributor Not applicable
Date 2017-07-25
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Mixed methods research (Survey + Interviews)
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajip.v43i0.1453
 
Source SA Journal of Industrial Psychology; Vol 43 (2017); 14 pages 2071-0763 0258-5200
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://sajip.co.za/index.php/sajip/article/view/1453/2125 https://sajip.co.za/index.php/sajip/article/view/1453/2124 https://sajip.co.za/index.php/sajip/article/view/1453/2126 https://sajip.co.za/index.php/sajip/article/view/1453/2116
 
Coverage South Africa present gender; rank; qualification; experience
Rights Copyright (c) 2017 Benjamin H. Olivier https://creativecommons.org/licenses/by/4.0
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