Artikel

Information sharing systems and teamwork between sub-teams: a mathematical modeling perspective

Teamwork contributes to a considerable improvement in quality and quantity of the ultimate outcome. Collaboration and alliance between team members bring a substantial progress for any business. However, it is imperative to acquire an appropriate team since many factors must be considered in this regard. Team size may represent the effectiveness of a team and it is of paramount importance to determine what the ideal team size exactly should be. In addition, information technology increasingly plays a differentiating role in productivity and adopting appropriate information sharing systems may contribute to improvement in efficiency especially in competitive markets when there are numerous producers that compete with each other. The significance of transmitting information to individuals is inevitable to assure an improvement in team performance. In this paper, a model of teamwork and its organizational structure are presented. Furthermore, a mathematical model is proposed in order to characterize a group of sub-teams according to two criteria: team size and information technology. The effect of information technology on performance of team and sub-teams as well as optimum size of those team and sub-teams from a productivity perspective are studied. Moreover, a quantitative sensitivity analysis is presented in order to analyze the interaction between these two factors through a sharing system.

Language
Englisch

Bibliographic citation
Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 13 ; Year: 2017 ; Issue: 4 ; Pages: 513-520 ; Heidelberg: Springer

Classification
Management
Subject
Teamwork
Team size
Sub-team
Information technology
Information sharing system
Productivity

Event
Geistige Schöpfung
(who)
Tohidi, Hamid
Namdari, Alireza
Keyser, Thomas K.
Drzymalski, Julie
Event
Veröffentlichung
(who)
Springer
(where)
Heidelberg
(when)
2017

DOI
doi:10.1007/s40092-017-0199-5
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Tohidi, Hamid
  • Namdari, Alireza
  • Keyser, Thomas K.
  • Drzymalski, Julie
  • Springer

Time of origin

  • 2017

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