MARC View

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001			vtls000075392
003			KUKTEM
005			20251114204554.0
008			131011t2011 my da f m 000 0 eng d
020			_aTHE0001492(Local)
039		9	_a201905271013 _basmadi _c201710090912 _daishah _c201311201630 _dnabilah _y201310111707 _znabilah
040			_aUMP
090			_aHD30.2 .L58 2011 rs Thesis
100	1		_aLiu, Yao
245	1	2	_aA sense-making based model for effective decision making in implementing knowledge management within SMEs in Wuhan, China / _cLiu Yao
260			_aKuantan, Pahang : _bUMP, _c2011
300			_axix, 254 p. : _bill. ; _c30 cm. + _e1 CD-ROM
502			_aThesis (PhD in Technology Management) -- Universiti Malaysia Pahang – 2011
504			_aBibliography : p. 199-222
520	3		_aIn today’s fast changing globalization, Small and Medium Enterprises (SMEs) around the globe need a very innovative and creative strategy and approach in order to achieve sustainable competitive advantages. Towards this end, knowledge management (KM) is widely believed or potentially utilized as a realizing tool by maximizing the benefits from their knowledge as well as other resources. Nonetheless, SMEs’ KM implementation (KMI) has been so far demonstrating poor outcomes resulted from various unsupportive aspects such as management, culture, technology, infrastructure, measure, KM process control and so on. Thus, given the limited availability of resources and conditions, it appears more significant for SMEs to effectively make KMI decisions through a rational process, which is exactly covered by sense making (SM) methodology. Thus, aimed at facilitating SMEs in building KM, this study established a SM-based KM evaluation model, by partitioning KMI into four inter-connected modules of sense making activities, including Environmental Analysis (EA), KM Activity Planning (KMAP), and KMI Decision Making (KMIDM) as independent variables and KM Measurement Index (KMMI) as dependent variable. The data was collected from 400 SMEs in Wuhan City, China, by mainly employing two-level survey questionnaires, along with some interviews, discussions and observations. The empirical analysis was systematically conducted from verifying the validity of the data, the constructs as well as the proposed measuring system, through normality tests, factor analysis, reliability analysis and correlation analysis accordingly. Series of regressions were conducted from both linear and non-linear perspectives, with moderator and mediator effects detected through hierarchical multiple regression approach. The utilized statistic software includes SPSS 16.0, Eviews 6.0 and Matlab 10.0. The derived results reveal the crucial factors that deserve more attention in SMEs’ KMI; the relationships amongst the tested factors with the best model suggested and the latent mechanisms that how SM based KM activities influence KM performance (KMP) and KM effectiveness (KME). More importantly, managerial implications are correspondingly provided especially for the Chinese SMEs from both micro and macro perspectives. The significance of the study is mainly in: i) the enrichment of the theory applications of both SM and KM; ii) the combination of both quantitative and qualitative methods thus providing more reliable results; iii) the distinguishing of KMP and KME with their correlations further investigated; iv) the investigations of both linear and non-linear relationships; v) the coverage of KMI in Chinese SMEs where KM is new and KMI is inadequately touched.
650		0	_aKnowledge management _zChina
650		0	_aSmall business _zChina
856	4	0	_uhttp://ecollib.ump.edu.my/24359/ _zLibrary access only
999			_aVIRTUA40 _c4322 _d4328
999			_aVTLSSORT008002000400090010002450260030005020504052006500650185609992