Agent Based Simulation of Business Model Ontologies Value in Enterprise Context: Application to the Customer Relationship Management
HBA Badsi, AR Ghomari… - Intelligent Systems and …, 2019 - Springer
Intelligent Systems and Applications: Proceedings of the 2018 Intelligent …, 2019•Springer
Abstract The Business Value of new technologies is not trivial to evaluate. Using simulation
can contribute to understand the impact of using ontologies in enterprise context when
practical cases are scarce or when the technology is embedded behind a software system.
Focusing on Business Model Ontologies (BMOs) and Customer Relationship Management
(CRM) business function, this paper describes:(1) the architecture;(2) the implementation
(including the internal behaviour); and (3) a first experimentation of the Business Model …
can contribute to understand the impact of using ontologies in enterprise context when
practical cases are scarce or when the technology is embedded behind a software system.
Focusing on Business Model Ontologies (BMOs) and Customer Relationship Management
(CRM) business function, this paper describes:(1) the architecture;(2) the implementation
(including the internal behaviour); and (3) a first experimentation of the Business Model …
Abstract
The Business Value of new technologies is not trivial to evaluate. Using simulation can contribute to understand the impact of using ontologies in enterprise context when practical cases are scarce or when the technology is embedded behind a software system. Focusing on Business Model Ontologies (BMOs) and Customer Relationship Management (CRM) business function, this paper describes: (1) the architecture; (2) the implementation (including the internal behaviour); and (3) a first experimentation of the Business Model Ontology Simulator (BMOSIM). It aims at evaluating the impact of BMOs on the enterprise performance through the use of the Agent-Based Simulation (ABS) through the MaDKit platform.
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