Mapping workflows and managing knowledge : dynamic modeling of formal and tacit knowledge to improve organizational performance. Volume II / John L. Kmetz.
Material type: TextSeries: Supply and operations management collectionPublisher: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, [(c)2016.]Edition: First editionDescription: 1 online resource (xiv, 82 pages) : illustrationsContent type:- text
- computer
- online resource
- 9781631574306
- HD62.17
- COPYRIGHT NOT covered - Click this link to request copyright permission: https://lib.ciu.edu/copyright-request-form
Item type | Current library | Collection | Call number | URL | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) | G. Allen Fleece Library ONLINE | HD62.17 (Browse shelf(Opens below)) | Link to resource | Available | BEP11205076 | |||
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) | G. Allen Fleece Library | Non-fiction | HD62.17 (Browse shelf(Opens below)) | Link to resource | Available | 11205076 |
1. Beginnings -- 2. iThink symbols and relationships -- 3. Modeling enterprise issues -- Notes -- References -- Index.
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For those who want to take the next step beyond workflow process mapping, this book is a short introduction to creating and interpreting system dynamic models using graphic modeling software. Even if you never had (or were good at) math in school, you can still use the iThink software to literally write the modeling equations for you, and it can be tried experimentally without having to buy it. In this three-chapter book, the author tells his story of becoming intrigued with modeling through an article about the demise of the old Saturday Evening Post, and then through his own experiences. In Chapter 2, he gives an overview of the main symbols and rules for writing iThink models, his preferred modeling software, and in Chapter 3 he shows what a conversion of a static workflow map into a dynamic model might look like; in addition, he provides guidance for starting such a project for those who want to pursue modeling in their organizations. The big advantages to system dynamic models are that they can uncover feedback relationships that might otherwise go unseen, and permit experimentation on a system model without affecting the actual operating system. They are invaluable for helping us learn about our companies and organizations.
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