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Titlebook: Changing Gears; The Strategic Implem James Carlopio Book 2003 Palgrave Macmillan, a division of Macmillan Publishers Limited 2003 change ma

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31#
發(fā)表于 2025-3-26 21:41:00 | 只看該作者
https://doi.org/10.1007/978-1-4302-0054-3Finally we have come to the end, only to realise that it is a new beginning. The issues of project termination, continuous improvement, innovation and the learning organisation must all be considered at this point.
32#
發(fā)表于 2025-3-27 04:36:42 | 只看該作者
Knowledge and AwarenessResearch and experience clearly illustrate that to ensure implementation success it is a change manager’s responsibility to adopt a comprehensive communications strategy that includes the following types of activity (cf. Brimm and Murdock, 1998; O’Neill, 1999; Radosevich, 1999):
33#
發(fā)表于 2025-3-27 08:51:23 | 只看該作者
34#
發(fā)表于 2025-3-27 10:42:24 | 只看該作者
35#
發(fā)表于 2025-3-27 13:59:54 | 只看該作者
https://doi.org/10.1007/978-1-4302-0473-2ist and have some idea that they will help us achieve our organisation’s strategic objectives. In this chapter we will focus on strategic knowledge and awareness as we explore some of the work done recently on new business models for the global enterprise and the technologies that enable them.
36#
發(fā)表于 2025-3-27 18:24:32 | 只看該作者
https://doi.org/10.1007/978-1-4302-0473-2technology and innovations are available (Chapter 1), and what we need based on our scenario and technological innovation planning, analysis and selection (Chapter 2), a decision is made to adopt certain new technologies or innovations and to reject others.
37#
發(fā)表于 2025-3-27 23:01:44 | 只看該作者
https://doi.org/10.1007/978-1-4302-0473-2as well as the ‘local’ conditions within which it will operate. The good news is that we will continue to refine these strategies throughout the remainder of this book. As you should be aware by this time, this is an ongoing process, not a one-off task.
38#
發(fā)表于 2025-3-28 05:24:29 | 只看該作者
39#
發(fā)表于 2025-3-28 10:03:01 | 只看該作者
Entrepreneurial Orientation in Academiaposed approaches outperform the state-of-the-art papers on the benchmark brain tumor dataset. The proposed architecture for each particular Convolutional Neural Network depicts that the outcomes are more prospective than those original methods and default-set parameters. The highest accuracy conducted experiments is 98.8%.
40#
發(fā)表于 2025-3-28 14:01:07 | 只看該作者
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