000			02850naa a2200301uu 4500
001			1031517580137
003			OSt
005			20190211174711.0
008			110315s2010 xx ||||gr |0|| 0 eng d
100	1		_aHOE, Siu Loon _944170
245	1	0	_aStructural and informal knowledge acquisition and dissemination in organizational learning : _ban exploratory analysis
260			_aUK : _bEmerald, _c2010
520	3		_aPurpose – The topic of organizational learning is populated with many theories and models; many relate to the enduring organizational learning framework consisting of knowledge acquisition, knowledge dissemination, and knowledge use. However, most of the research either emphasizes structural knowledge acquisition and dissemination as a composite construct, or focuses solely on the structural aspect of knowledge acquisition and dissemination. The primary objective of this study is to develop and test a model of organizational learning that incorporates both structural and informal knowledge acquisition and dissemination and as separate processes. The predictors of these processes are also proposed
520	3		_aDesign/methodology/approach – A model of organizational learning that incorporates both structural and informal knowledge acquisition and dissemination constructs, along with three predictors of these organizational learning constructs were developed and quantitatively tested.
520	3		_aFindings – An inference to the research questions and hypotheses suggests that informal knowledge acquisition and dissemination have significant paths to market knowledge use, whereas structural knowledge acquisition and dissemination have, at best, a weak association with market knowledge use. Although the results were based on exploratory analysis, they provide tentative quantitative evidence that informal knowledge processes are at least as important as structural knowledge processes in market-based organizational learning.
520	3		_aOriginality/value – While the hypothesized model did not satisfy the goodness-of-fit tests, data-driven exploratory analysis helped to refine two separate structural and informal models for future testing. The statistical explanation provided and procedures used to remedy the non-fit issues should help future researchers to deal with structural equation-modeling issues when similar non-fit problems arise
590			_aVolume 17
590			_aNumbers 4-5
650		4	_aGestão do Conhecimento _913120
650		4	_aTécnica Administrativa _912835
650		4	_aAvaliação de Desempenho _912937
650		4	_aModelo de Gestão _912032
700	1		_aMCSHANE, Steven _944171
773	0	8	_tThe Learning Organization _g17, 4-5, p. 364-386 _dUK : Emerald, 2010 _xISSN 09696474 _w
942			_cS
998			_a20110315 _b1758^b _cDaiane
998			_a20110428 _b1437^b _cKeicielle
999			_aConvertido do Formato PHL _bPHL2MARC21 1.1 _c38774 _d38774
041			_aeng