Authors:
Kecheng Liu
;
Majed Al-rajhi
;
Anas R. Alsoud
;
Lawrence Chidzambwa
and
Jasmine Tehrani
Affiliation:
The University of Reading, United Kingdom
Keyword(s):
Organisational Semiotics, Business Process Modelling, Norm Analysis, DEMO, e-Government.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Business Process Management
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Government
;
Information Systems Analysis and Specification
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Semiotics
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
A successful system first begins with an understanding of the business processes of an organisation. As such, business process modelling (BPM) represents a collection of related, structured activities or set of tasks that produce a specific service or product to stakeholders. It graphically represents how a business organisation conducts their business processes conceptually. Throughout the literature, some challenges with BPM have emerged, such as standardisation of process modelling, identification of the value of process modelling, and model-driven process execution. However, one of the most challenging issues in business process management is that organisations are traditionally considered to be static networks of transaction processes rather than dynamic. There is therefore a need to aide analysts and practitioners alike by providing methods that can guide and capture the dynamic aspects of an organisation. This paper aims to present two BPM methods, and discusses extending them
using the norm analysis method (NAM) to enable the analysts to model the dynamics of business processes and to accommodate exceptions that have not been dealt with by other conventional methods.
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