A fuzzy goal programming model for task allocation in teamwork
by Ioannis Giannikos, Panagiotis Polychroniou
International Journal of Human Resources Development and Management (IJHRDM), Vol. 9, No. 1, 2009

Abstract: This study introduces a fuzzy goal programming model for allocating tasks to employees in teamwork. Each task as well as each employee is represented in a multidimensional ability space on a team basis. The model also considers the possibility of improving employees' abilities through training and of using subcontracting or overtime, if necessary. The proposed model includes four fuzzy goals, which refer to: (1) total training cost, (2) total distance between tasks and employees in the ability space, (3) cost of idle time and (4) cost of overtime. We discuss the applicability of the model using real data from a major Greek bank. Some implications of the study are discussed, including the need for assigning tasks to employees on a team basis taking into account their abilities. Team managers reach better decisions by allocating tasks through a systematic process that includes in the analysis the objectives of the organisation as well as the interests of the employees. As a result, teamwork is encouraged as the objectives of task allocation become evident to all interested parties.

Online publication date: Sun, 30-Nov-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Human Resources Development and Management (IJHRDM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com