Authors:
Fodé Touré
;
Mouna Selmi
and
Esma Aïmeur
Affiliation:
Université de Montréal, Canada
Keyword(s):
Evaluation, Enterprise Training, Business Process Management, Business Activity Monitoring, Agile Management, Return On Investment, Optimization, Machine Learning Algorithms.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Organisational Learning
;
Society, e-Business and e-Government
;
Web Information Systems and Technologies
Abstract:
Organizations and public authorities invest substantial sums in training, but rarely have data indicating the results of this investment. Because of the difficulties related to existing models, to the lack of valid instruments and workable models, only a few organizations evaluate their training project in depth.
In this paper, we propose an approach of training project evaluation, based on Business Process Management (BPM). This approach consists in Analyzing the needs, process Modelling, Monitoring the project progress and ensuring the expectation of the objectives, Optimizing the global and personal yield by a series of simulation (A2MO method). To facilitate the understanding and the use of A2MO, we develop a Business Process Management System named ETREOSys (Enterprise TRaining program Evaluation and Optimization System).
A2MO ensures the alignment between training activities and enterprise business objectives. It allows training project monitoring, calculating tangible and in
tangible benefits of training (without additional costs). It also allows making a training projects classification according to criteria bound to enterprise and employees, to optimize training activities in order to answer the enterprise objectives and employees needs.
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