logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Integrating Business Process Models And Rules Empirical Evidence And Decision Framework 1st Ed Wei Wang

  • SKU: BELL-10485694
Integrating Business Process Models And Rules Empirical Evidence And Decision Framework 1st Ed Wei Wang
$ 31.00 $ 45.00 (-31%)

4.7

56 reviews

Integrating Business Process Models And Rules Empirical Evidence And Decision Framework 1st Ed Wei Wang instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 8.03 MB
Author: Wei Wang
ISBN: 9783030118082, 9783030118099, 3030118088, 3030118096
Language: English
Year: 2019
Edition: 1st ed.

Product desciption

Integrating Business Process Models And Rules Empirical Evidence And Decision Framework 1st Ed Wei Wang by Wei Wang 9783030118082, 9783030118099, 3030118088, 3030118096 instant download after payment.

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.

Related Products