Abstract
Traditional social science models, including those for social network analysis (SNA), have so far not succeeded in establishing a valid computational model of social science, especially autonomy. A wideranging call has been issued to develop a fundamental replacement for traditional science in order to be able to mathematically control organizations and systems composed of humans, machines, and robots that can work together effectively to solve problems that organizations and systems composed of humans now solve intuitively. We report our progress with the development of a fundamental control theory based on social network analysis.
Original language | English (US) |
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Title of host publication | Handbook of Research on Business Social Networking |
Subtitle of host publication | Organizational, Managerial, and Technological Dimensions |
Publisher | IGI Global |
Pages | 14-33 |
Number of pages | 20 |
ISBN (Print) | 9781613501689 |
DOIs | |
State | Published - 2011 |
ASJC Scopus subject areas
- Business, Management and Accounting(all)