Simulating Organizations: Computational Models of Institutions and Groups
| Author | : | |
| Rating | : | 4.57 (673 Votes) |
| Asin | : | 026266108X |
| Format Type | : | paperback |
| Number of Pages | : | 270 Pages |
| Publish Date | : | 2016-07-23 |
| Language | : | English |
DESCRIPTION:
. Gasser is affiliated with the University of Southen Carolina
"An interesting collection of articles" according to N. Mozahem. Organizational modelling and simulation is a relatively new field and this might explain the fact that there aren't many books about the topic. This is why this is such an important book. Not only does this book tackle the topic of organizational modelling, but the the papers are of the highest qualities. Usually edited books are not as coherent as single author books, but in this case the fact that different chapters were
About the Author Gasser is affiliated with the University of Southen Carolina.
Fox, Natalie Glance, Michael Gruninger, Bernardo Huberman, MinCheol Kang, David Kaplan, Zhiang Lin, Michael Prietula, Kent Sandoe, Walt Scacchi, Young-pa So, William Wallace, Laurie Weissel.. Many interesting insights have already resulted from this research, such as how group cooperation arises or dissipates in social dilemma settings, and how honesty and benevolence affect behavior in a group task. On the practical side, computational modeling is increasingly effective for organizational design, analysis, and reengineering.Although a great deal of work remains to be done, the era is approaching when both theorists and practitioners will routinely state theories, design organizations, and derive their implications using widely shared computational tools. Time scales have shrunk, new organizational forms are emerging, and organizational environments are expanding and mutating at unprecedented rates. Organizational researchers are using computational models to gain insights into organizational phenomena and to explore dynamic processes and configurations that are difficult or impossible to investigate with other methods. Computational modeling affords opportunities to both understand and respond to these complex changes.Paralleling developments in the physical sciences, computational modeling is emerging in the social and organizational sciences. The globalization of the economy, increasing number of transnational organizations, and rapid changes in robotics, information,