Self-Organizing Cooperative Dynamics in Government Extended Enterprises
| Autor: | Lawrence John, Brian Sauser, Matthew Parker, Georganne Brier John, Jon Wade |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Information management
Government 021103 operations research Knowledge management Computer Networks and Communications business.industry Information sharing 05 social sciences 0211 other engineering and technologies 02 engineering and technology 0506 political science Computer Science Applications Exploratory data analysis Stag hunt Control and Systems Engineering Multiple correspondence analysis 050602 political science & public administration Information system Electrical and Electronic Engineering business Psychology Social psychology Information Systems Statistical hypothesis testing |
| Zdroj: | IEEE Systems Journal. 12:2905-2916 |
| ISSN: | 2373-7816 1932-8184 |
| DOI: | 10.1109/jsyst.2016.2647598 |
| Popis: | This paper presents the results of our research into cooperation in Government Extended Enterprises, a type of system of systems. The effort proposed and evaluated a novel theory that these decisions are the result of the interaction of four canonical forces—Sympathy, Trust, Fear, and Greed. A computational simulation involving the Stag Hunt game examined information sharing decisions in a series of key decision points in three large case studies. For the five hypotheses tested, exploratory data analysis and nonparametric statistical testing show strong support for three of the hypotheses (cooperation is positively correlated with actors’ levels of Sympathy and Trust and negatively correlated with actors’ levels of Fear) and moderate support for the fourth (cooperation is negatively correlated with actors’ levels of Greed). Indications are that the fifth hypothesis (cooperation is correlated with history of behavior) is not needed to explain observed behavior. Multiple correspondence analysis showed significant interactions both among pairs of forces and when a force is paired with decision making strategies. These results can form the basis for: 1) analysis of additional case studies; 2) development of an agent-based simulation; and 3) creation of training programs for current and future organizational leaders. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|