東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Integrating business process models ...

Wang, Wei.

Linked to FindBook

Google Book

Amazon

博客來

Integrating business process models and rules = empirical evidence and decision framework /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Integrating business process models and rules/ by Wei Wang.
Reminder of title:	empirical evidence and decision framework /
Author:	Wang, Wei.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xii, 127 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Business - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-030-11809-9
ISBN:	9783030118099

Integrating business process models and rules = empirical evidence and decision framework /
Wang, Wei.

Integrating business process models and rulesempirical evidence and decision framework /[electronic resource] :by Wei Wang. - Cham :Springer International Publishing :2019. - xii, 127 p. :ill., digital ;24 cm. - Lecture notes in business information processing,3431865-1348 ;. - Lecture notes in business information processing ;343..

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.

ISBN: 9783030118099

Standard No.: 10.1007/978-3-030-11809-9doiSubjects--Topical Terms:

683998
Business
--Mathematical models.

LC Class. No.: HD30.25

Dewey Class. No.: 650.015118

Integrating business process models and rules = empirical evidence and decision framework /
LDR:01935nmm a2200325 a 4500 001 2179332
003 DE-He213
005 20190128122318.0
006 m d
007 cr nn 008maaau
008 191122s2019 gw s 0 eng d
020 $a 9783030118099 $q (electronic bk.)
020 $a 9783030118082 $q (paper)
024 7 $a 10.1007/978-3-030-11809-9 $2 doi
035 $a 978-3-030-11809-9
040 $a GP $c GP
041 0 $a eng
050 4 $a HD30.25
072 7 $a UMZ $2 bicssc
072 7 $a COM051230 $2 bisacsh
072 7 $a UMZ $2 thema
082 0 4 $a 650.015118 $2 23
090 $a HD30.25 $b .W246 2019
100 1 $a Wang, Wei. $3 895950
245 1 0 $a Integrating business process models and rules $h [electronic resource] : $b empirical evidence and decision framework / $c by Wei Wang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xii, 127 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in business information processing, $x 1865-1348 ; $v 343
520 $a 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.
650 0 $a Business $x Mathematical models. $3 683998
650 0 $a Business $x Data processing. $3 527441
650 0 $a Management information systems. $3 528143
650 1 4 $a Software Engineering. $3 890874
650 2 4 $a Information Systems Applications (incl. Internet) $3 1565452
650 2 4 $a Business Process Management. $3 2134548
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in business information processing ; $v 343. $3 3384372
856 4 0 $u https://doi.org/10.1007/978-3-030-11809-9
950 $a Computer Science (Springer-11645)