Authors:
Mukhammad Andri Setiawan
and
Shazia Sadiq
Affiliation:
The University of Queensland, Australia
Keyword(s):
Experience Driven, Business Process Analysis, Work Practice, Socialization.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Process Management
;
Data Engineering
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
In today’s competitive business era, having the best practice business process is fundamental to the success of an organisation. Best practice reference models are generally created by experts in the domain, but often the best practice can be implicitly derived from the work practices of actual workers within the organization. In this paper, we propose to utilize the experiences and knowledge of previous business process users to inform and improve the current practices, thereby bringing about a socialization of work practice. We have developed a recommendation system to assist users to select the best practices of previous users through an analysis of business process execution logs. Recommendations are generated based on multi criteria analysis applied to the accumulated process data and the proposed approach is capable of extracting meaningful recommendations from large data sets in an efficient way.