Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    UID:
    almahu_9948126382002882
    Format: XXX, 213 p. , online resource.
    Edition: 1st ed. 2019.
    ISBN: 9783030171414
    Series Statement: Lecture Notes in Networks and Systems, 71
    Content: This book describes modern dynamic business process management (dynamic BPM), which is considerably different from traditional BPM from 20, 10, or even 5 years ago. It demonstrates why traditional BPM is not sufficient in the knowledge economy (KE), while also highlighting the opportunities provided by dynamic BPM – the form of management that practitioners and academics deal with on a daily basis. This involves mastering and implementing e.g. case management, process mining, and RPA, and integrating them with knowledge management. But more importantly, dynamic BPM makes full use of the dynamism of knowledge workers: the people who actually create innovative products and services tailored to the specific needs of clients. The book was primarily written for those managers who see advantageous opportunities amidst the ongoing changes. Accordingly, it focuses more on innovations emerging from practice than on theoretical, academic reflection. In addition to helping organizations operating in the KE to prepare for and implement process management, the book is intended as a source of inspiration for process management researchers and iBPMS system vendors.
    Note: Characteristics of knowledge -- Dynamic business process management -- Process Execution in a Knowledge Management Environment -- The implementation of dynamic business process management.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783030171407
    Additional Edition: Printed edition: ISBN 9783030171421
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages