Integrating Business Process Models and Rules: Empirical Evidence and Decision Framework
| AUTHOR | Wang, Wei |
| PUBLISHER | Springer (01/29/2019) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
This book combines multiple research methods, experiment, survey, and design science, as well as traditional measurements and neurophysiological techniques that can capture a variety of cognitive behaviors in human information processing, providing more solid and comprehended research findings. While the focus of the book is the modelling of process models and rules, the methods and techniques used in this book can also be adopted and applied to broader conceptual modelling research incorporating a variety of notations (e.g. UML, ER diagrams) or ontologies.
It is a revised version of the PhD dissertation written by the author at the School of Information Technology and Electrical Engineering of the University of Queensland, Australia. In 2018, the PhD dissertation won the "CAiSE PhD Award," granted to outstanding PhD theses in the field of information systems engineering.
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Product Format
Product Details
ISBN-13:
9783030118082
ISBN-10:
3030118088
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
127
Carton Quantity:
56
Product Dimensions:
6.14 x 0.30 x 9.21 inches
Weight:
0.45 pound(s)
Feature Codes:
Illustrated
Country of Origin:
NL
Subject Information
BISAC Categories
Computers | Software Development & Engineering - General
Computers | Information Technology
Computers | Information Management
Dewey Decimal:
005.1
Descriptions, Reviews, Etc.
publisher marketing
This book combines multiple research methods, experiment, survey, and design science, as well as traditional measurements and neurophysiological techniques that can capture a variety of cognitive behaviors in human information processing, providing more solid and comprehended research findings. While the focus of the book is the modelling of process models and rules, the methods and techniques used in this book can also be adopted and applied to broader conceptual modelling research incorporating a variety of notations (e.g. UML, ER diagrams) or ontologies.
It is a revised version of the PhD dissertation written by the author at the School of Information Technology and Electrical Engineering of the University of Queensland, Australia. In 2018, the PhD dissertation won the "CAiSE PhD Award," granted to outstanding PhD theses in the field of information systems engineering.
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List Price $54.99
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$54.44
