Mixed-Mode Modelling: Mixing Methodologies For Organisational Intervention

Mixed-Mode Modelling: Mixing Methodologies For Organisational Intervention
Author :
Publisher : Springer Science & Business Media
Total Pages : 330
Release :
ISBN-10 : 9781461302896
ISBN-13 : 1461302897
Rating : 4/5 (96 Downloads)

Book Synopsis Mixed-Mode Modelling: Mixing Methodologies For Organisational Intervention by : M.G. Nicholls

Download or read book Mixed-Mode Modelling: Mixing Methodologies For Organisational Intervention written by M.G. Nicholls and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1980s and 1990s have seen a growing interest in research and practice in the use of methodologies within problem contexts characterised by a primary focus on technology, human issues, or power. During the last five to ten years, this has given rise to challenges regarding the ability of a single methodology to address all such contexts, and the consequent development of approaches which aim to mix methodologies within a single problem situation. This has been particularly so where the situation has called for a mix of technological (the so-called 'hard') and human centred (so-called 'soft') methods. The approach developed has been termed mixed-mode modelling. The area of mixed-mode modelling is relatively new, with the phrase being coined approximately four years ago by Brian Lehaney in a keynote paper published at the 1996 Annual Conference of the UK Operational Research Society. Mixed-mode modelling, as suggested above, is a new way of considering problem situations faced by organisations. Traditional technological approaches used in management science have suffered criticisms relating to their adequacy in the past few decades, and these hard approaches have been replaced by soft methods, which consider process more relevant than outcome. However, the sole use of human centred approaches to organisational problems has also proved to be inadequate. Mixed-mode modelling accepts the importance of both process and outcome, and provides enabling mechanisms for hard and soft investigation to be undertaken.


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