國立高雄大學圖資館 |

Language: English

Back

Integrating business process models ...

SpringerLink (Online service)

Integrating business process models and rulesempirical evidence and decision framework /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Integrating business process models and rulesby 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:	BusinessMathematical models.
Online resource:	https://doi.org/10.1007/978-3-030-11809-9
ISBN:	9783030118099$q(electronic bk.)

Integrating business process models and rulesempirical 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 ;96..

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$q(electronic bk.)

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

185269
Business
--Mathematical models.

LC Class. No.: HD30.25

Dewey Class. No.: 650.015118

Integrating business process models and rulesempirical evidence and decision framework /
LDR:01935nmm a2200325 a 4500 001 552723
003 DE-He213
005 20190128122318.0
006 m d
007 cr nn 008maaau
008 191107s2019 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 253706
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 185269
650 0 $a Business $x Data processing. $3 199085
650 0 $a Management information systems. $3 199355
650 1 4 $a Software Engineering. $3 274511
650 2 4 $a Information Systems Applications (incl. Internet) $3 530743
650 2 4 $a Business Process Management. $3 714086
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in business information processing ; $v 96. $3 559514
856 4 0 $u https://doi.org/10.1007/978-3-030-11809-9
950 $a Computer Science (Springer-11645)