Authors:
Silverio Petruzzellis
1
;
Oriana Licchelli
2
;
Ignazio Palmisano
2
;
Giovanni Semeraro
2
;
Valeria Bavaro
3
and
Cosimo Palmisano
3
Affiliations:
1
Cézanne Software S.p.A., Italy
;
2
Università di Bari, Italy
;
3
DIMeG, Politecnico di Bari, Italy
Keyword(s):
Decision Support Systems, Knowledge Management, Machine Learning, HRM Decentralization.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Industrial Applications of Artificial Intelligence
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Signal Processing
;
Society, e-Business and e-Government
;
Soft Computing
;
Strategic Decision Support Systems
;
Verification and Validation of Knowledge-Based Systems
;
Web Information Systems and Technologies
Abstract:
Total reward management (TRM) is a holistic practice that interprets the growing need in organizations for involvement and motivation of the workers. It is oriented towards pushing the use of Information Technology in supporting the improvement of both organization and people performances, by understanding employee needs and by designing customized incentives and rewards. Customization is very common in the area of e-commerce, where application of profiling and recommendation techniques makes it possible to deliver personalized recommendations for users that explicitly accept the site to store personal information such as preferences or demographic data. Our work is focused on the application of User Profiling techniques in the Total Reward Management context. In the Team Advisor project we experimented the analogies Customer/Employee, Product, Portfolio/Reward Library and Shop/Employer, in order to provide personalized reward recommendations to line managers. We found that the adopt
ion of a collaborative software platform delivering a preliminary reward plan to the managers fosters collaboration and actively supports the delegation of decision-making.
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