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Managing in a Time of Great Change
Abstract
'It is not so very difficult to predict the future. It is only pointless...what is always far more important are fundamental changes that happened though no one predicted them or could possible have predicted them.' (quote taken from this book)It is these unpredictable and irreversible changes from the past, and their effect on the role of the executive which Peter Drucker examines in his latest book. The management of change is a subject which has been, undoubtedly, the principal preoccupation of management thinkers in the 1990s. Peter Drucker, the guru's guru, brings together a group of his own original essays and interviews on this vitally important topic. As ever, he provides invaluable food for thought for all executives and students of business and management.
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Citations
Cited by
Day, D. V. (2000) · The Leadership Quarterly · doi:10.1016/s1048-9843(00)00061-8 · Cited by 2,180
Conceptualizing Teacher Professional Learning
Opfer, V. D., & Pedder, D. (2011) · Review of Educational Research · doi:10.3102/0034654311413609 · Cited by 1,814
Toward a Theory of Community-Based Enterprise
Peredo, A. M., & Chrisman, J. J. (2006) · Academy of Management Review · doi:10.5465/amr.2006.20208683 · Cited by 1,298
Culture and international business: recent advances and their implications for future research
Leung, K., Bhagat, R. S., Buchan, N. R., Erez, M., & Gibson, C. B. (2005) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8400150 · Cited by 1,149
A methodology for achieving agility in manufacturing organisations: An introduction
Sharifi, H., & Zhang, Z. (1999) · International Journal of Production Economics · doi:10.1016/s0925-5273(98)00217-5 · Cited by 827
Metadata
- Authors
- Drucker, P.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2012-10-02
- OpenAlex
- W1494468891
- Cited by
- 686
- References
- 0
- FWCI
- 30.56
- Type
- book
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
