Silverio Petruzzellis, Oriana Licchelli, Ignazio Palmisano, Giovanni Semeraro, Valeria Bavaro, Cosimo Palmisano


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 adoption of a collaborative software platform delivering a preliminary reward plan to the managers fosters collaboration and actively supports the delegation of decision-making.


  1. Busacca, A. G. (1998). Il customer profiling. In Costruire Fedeltà. Il Sole 24ore.
  2. Drucker, P. F. (1955). ”management science” and the manager. Management Science, 1(2):115-126.
  3. European Parliament and Council of the European Union (1995). Directive 95/46/ec of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data. In Official Journal of the European Communities, page 31.
  4. Frank, E. and Witten, I. (1998). Generating accurate rule sets without global optimization. In Proceedings of the 15th International Conference on Machine Learning, pages 144-151. Morgan Kaufmann.
  5. Kerr, S. (1995). An academy classic: On the folly of rewarding A, while hoping for B. Academy of Management Executive, 9(1):7-14.
  6. Kobsa, A. (2001). Tailoring privacy to users' needs. In Proceedings of the 8th International Conference on User Modelling. LNAI 2109, pages 303-313. Springer.
  7. Legge, K. (1995). Human Resource Management: Rhetorics and Realities. Macmillan, Hampshire.
  8. Licchelli, O. (2005). Personalization in Digital Libraries for Education. Computer Science in the Graduate Division of the University of Bari, Italy.
  9. Mintzberg, H. (1973). The Nature of Managerial Work. Prentice-Hall, London.
  10. OD&M Consulting (2005). Rapporto benefits 2005. in collaborazione con Lavoro & Carriere - ed. Il Sole 24 Ore.
  11. Quinlan, J. R. (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann.
  12. Renwick, D. (2003). Line manager involvement in HRM: an inside view. Employee Relations, 25(3):262-280.
  13. Semeraro, G., Abbattista, F., Degemmis, M., Licchelli, O., Lops, P., and Zambetta, F. (2003). Agents, personalisation and intelligent applications. In Corchuelo, R., Cortés, A. R., and Wrembel, R., editors, Technologies Supporting Business Solutions, Part IV: Data Analysis and Knowledge Discovery, Chapter 7, pages 141-160. Nova Sciences Publishers.
  14. Spitzer, D. R. (1996). Power rewards: Rewards that really motivate. Management Review, 85(5):45-50.
  15. Wanless, C. (2003). Devolution of HR activity to the line: does the reality lag behind the rethoric?
  16. Watson Wyatt Worldwide (2000). WorkUSA 2000 - Employee Commitment and the Bottom Line. id=W-304&page=1.
  17. Whittaker, S. and Marchington, M. (2003). Devolving HR responsibilities to the line. Threat, Opportunity or Partnership? Employee Relations, 25(3):245-261.
  18. Witten, I. H. and Frank, E. (2000). Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann Publishers, San Francisco.

Paper Citation

in Harvard Style

Petruzzellis S., Licchelli O., Palmisano I., Semeraro G., Bavaro V. and Palmisano C. (2006). PERSONALIZED INCENTIVE PLANS THROUGH EMPLOYEE PROFILING . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-42-9, pages 107-114. DOI: 10.5220/0002493401070114

in Bibtex Style

author={Silverio Petruzzellis and Oriana Licchelli and Ignazio Palmisano and Giovanni Semeraro and Valeria Bavaro and Cosimo Palmisano},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},

in EndNote Style

JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
SN - 978-972-8865-42-9
AU - Petruzzellis S.
AU - Licchelli O.
AU - Palmisano I.
AU - Semeraro G.
AU - Bavaro V.
AU - Palmisano C.
PY - 2006
SP - 107
EP - 114
DO - 10.5220/0002493401070114