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Business Processes Compliance in Partially Observable Environments

EasyChair Preprint 837, version 2

Versions: 12history
15 pagesDate: April 28, 2019

Abstract

This paper addresses how to design and implement business process compliance through observing the business process instances and controlling the business process models, considering environments that are only partial observable. An organization is a dynamic system where actors assume roles and produce results and decisions autonomously, changing the overall state of the system. These decisions often occur in environments that are not fully observable. In order to face restrictions such as market demand and legal impositions, organizations need to come up with innovative solutions by optimizing their business transaction models. This process allows them to assist in decisionmaking processes. The business process models are intended to represent an organizational reality and restrict the freedom of design to allow common understanding between stakeholders and to define the roles of the actors. Therefore, organizations need to ensure that operational processes are performed in a controlled way to meet predefined requirements, complying with regulations, laws and agreements established between internal and external stakeholders. The solution is implemented using an enterprise simulation environment, named as Enterprise Cartography(EC). The results obtained demonstrated the ability to observe and control the process instances as a contribution to improving the compliance of business process.
 

Keyphrases: Business Process Models, Compliance, Development process., Enterprise Cartography

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:837,
  author    = {Isabel Silva and Pedro Sousa and Sérgio Guerreiro},
  title     = {Business Processes Compliance in Partially Observable Environments},
  doi       = {10.29007/m4db},
  howpublished = {EasyChair Preprint 837},
  year      = {EasyChair, 2019}}
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