000			01865naa a2200193uu 4500
001			8081315442510
003			OSt
005			20190211164110.0
008			080813s2007 xx ||||gr |0|| 0 eng d
100	1		_aLAZER, David _95933
245	1	0	_aThe Network structure of exploration and exploitation
260			_aIthaca : _bJohnson Graduate School of Management, _cDecember 2007
520	3		_aWhether as team members brainstorming or cultures experimenting with new technologies, problem solvers communicate and share ideas. This paper examines how the structure of communication networks among actors can affect system-level performance. We present an agent-based computer simulation model of information sharing, in which the less successful emulate the more successful. Results suggest that when agents are dealing with a complex problem, the more efficient the network at disseminating information, the better the short-run but the lower the long-run performance of the system. The dynamic underlying this result is that an inefficient network maintains diversity in the system and is thus better for exploration than an efficient network, supporting a more thorough search for solutions in the long run. For intermediate time frames, there is an inverted-U relationship between connectedness and performance, in which both poorly and well-connected systems perform badly, and moderately connected systems perform best. This curvilinear relationship between connectivity and group performance can be seen in several diverse instances of organizational and social behavior
700	1		_aFRIEDMAN, Allan _935273
773	0	8	_tAdministrative Science Quarterly _g52, 4, p. 667-694 _dIthaca : Johnson Graduate School of Management, December 2007 _xISSN 00018392 _w
942			_cS
998			_a20080813 _b1544^b _cTiago
998			_a20101019 _b1411^b _cDaiane
999			_aConvertido do Formato PHL _bPHL2MARC21 1.1 _c27215 _d27215
041			_aeng