Product reviews for Change Management Excellence - Paperback Edition

Martin Roberts recently retired as a management consultant to many UK top 100 companies; he has also had experience of dealing with US corporations. He has had extensive experience of change management in practice, which certainly becomes clear from the many anecdotes and case studies.

Anybody involved in a change management programme would find this book beneficial and the ideal time to read it would defi-
nitely be before embarking on any revolutionary changes.

Roberts makes it very clear that evolutionary change is much easier to handle than revolutionary change and that both should
be made as simple as possible: "Overall the future is likely to generate far more opportunities for CM failures than previously. A straightforward and common-sense approach is always more likely to resolve the problems than a complex one."

Roberts explains that he has aimed the book at change managers who may find NLP a useful tool and at "NLPers' who wish to apply their knowledge to bring about change; he has tried to avoid jargon from both fields " and where it has been necessary to use jargon he has given adequate explanations.

I particularly liked the case studies throughout the book, with their excellent examples of bringing about change successfully and also a number of cases where the outcomes have been less successful and the appropriate lessons are drawn out.

Somehow, I found this to be a very generous book " Roberts shares his case studies, an extensive bibliography, lots of references and best of all many exercises and activities that can be used within the change management process. My only criticism is that it would have been more helpful if these were more conspicuous in the text. After an initial complete reading I would want to hunt out and use some of these techniques or exercises and it would valuable if they were more clearly defined and indexed.

This revised paperback edition (first published 1999) contains an additional chapter detailing some of the pitfalls of NLP modeling, but also how it can be applied pragmatically and successfully.

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