Factors affecting attitudes and intentions towards knowledge sharing in the Dubai Police Force
TL;DR: The structural model suggests a strong relationship between attitude to knowledge sharing, and intention to share knowledge, and Hypotheses regarding the influence of leadership, trust, organisational structure, time, and information technology on attitude toknowledge sharing were upheld.
About: This article is published in International Journal of Information Management.The article was published on 2012-08-01. It has received 135 citations till now. The article focuses on the topics: Knowledge sharing & Public sector.
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TL;DR: An integrated model to understand key factors of employee knowledge sharing intentions through constructs prescribed by two established knowledge management research streams is developed and confirms that reciprocity, enjoyment, and social capital contribute significantly to enhancing employees’ tacit and explicitknowledge sharing intentions.
469 citations
Cites background from "Factors affecting attitudes and int..."
...…et al., 2000; Kankanhalli et al., 2005; Kwok & Gao, 2005; O’Dell & Grayson, 1998; Severinov, 2001) and the second group a negative effect (Bock & Kim, 2002; Bock et al., 2005; Hau & Kim, 2011), while the third group found no significant influence (Hung et al., 2011b; Lin, 2007b; Seba et al., 2012)....
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...…rewards have no effect on employees’ knowledge sharing intentions (Hung et al., 2011b; Lin, 3 Inform 2 i v o e r k t k e ( r k i p e a a g s e u m i ( W m b a e e r e e m t t e e a e c 2 t f s s t o a k ( 2 t ( e p e Z o 58 Y.S. Hau et al. / International Journal of 007a; Seba et al., 2012)....
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01 Jan 2005
TL;DR: The Nonaka and Takeuchi model of knowledge management has been used with caution in other cultural contexts, such as China and the Arab world as mentioned in this paper, and it has been shown that some aspects of this model do apply to modes of knowledge acquisition and transfer in other cultures.
Abstract: In a recent article Glisby and Holden have noted that the Nonaka and Takeuchi model of knowledge management needs to be used with caution. Its application is not universal because it must be seen primarily as a product of the Japanese cultural context from which it emerged. In the model each of the four modes is interpreted in reference to their embeddedness in Japanese cultural symbols, organizational structures and societal value systems. But we propose that, a fortiori, some aspects of this model do apply to modes of knowledge acquisition and transfer in other cultural contexts. In this paper we review the workings of the model and the four modes with reference to the cultural, organization–structural and value bases of Chinese and Arab societies. We demonstrate that the Nonaka and Takeuchi model maps partially, but differently from both Western and Japanese societies, on to each of these cultural contexts. In these cultures managers and organizational members will share knowledge with those with whom they already have a trustful relationship. This paper explores the implications of the fact that in China and the Arab world the sharing of knowledge cannot be taken for granted outside this context of trustful relationships. Copyright # 2005 John Wiley & Sons, Ltd.
165 citations
TL;DR: The results show that users' attitude toward knowledge is determined by all four key forces: utilitarian motivation (reciprocity, reputation), hedonic motivation (enjoying helping), control belief (self-efficacy) and contextual force (sharing culture).
Abstract: Purpose – Knowledge sharing has played an important role in the proliferation of virtual communities. However little research has provided an integrated view of knowledge sharing for a general-purpose (non-professional) virtual community. This study aims to suggest that four driving forces, i.e. utilitarian motivation, hedonic motivation, control belief (self-efficacy) and contextual force (sharing culture), motivate users' attitudes toward knowledge sharing. Design/methodology/approach – The research participants are knowledge contributors who participate in general-purpose virtual communities. A total of 473 valid questionnaires were collected. Structural equation modelling was used to test the research hypothesis. Findings – The results show that users' attitude toward knowledge is determined by all four key forces: utilitarian motivation (reciprocity, reputation), hedonic motivation (enjoying helping), control belief (self-efficacy) and contextual force (sharing culture). Users' attitude, self-efficac...
104 citations
TL;DR: This study examines how job design, which determines the conditions in which employees develop and function, influences their intrinsic motivation to share knowledge and develops a model that specifies the effect of different job design characteristics and clarifies the underlying mechanism through which job design affects intrinsic motivation.
70 citations
Cites background from "Factors affecting attitudes and int..."
...In contrast, extrinsic motivation has shown positive (e.g., Kankanhalli et al. 2005), insignificant (e.g., Lin 2007; Seba et al. 2012), and even negative effects (e.g., Bock et al. 2005)....
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TL;DR: The results reveal that self-efficacy significantly affects online knowledge sharing behaviour in firms, regardless of the organisation type, while intrinsic rewards work effectively in public companies.
Abstract: Online knowledge sharing is a critical process for maintaining organisational competitive advantage. This paper aims to develop a new conceptual framework that investigates the moderating impacts of innovation on self-efficacy, extrinsic and intrinsic rewards on employees’ online knowledge sharing behaviour in public and private sector companies.,This research analysed 200 responses to test the moderating effects of organisational innovation on the relationship between self-efficacy and rewards and online knowledge sharing behviours. The analysis was carried out using component-based partial least squares (PLS) approach and SmartPLS 3 software.,The results reveal that self-efficacy significantly affects online knowledge sharing behaviour in firms, regardless of the organisation type. Extrinsic rewards encourage employees in private companies to share knowledge online, whereas intrinsic rewards work effectively in public companies. Additionally, the study found the moderating role of organisational innovation in examining the relationship between rewards and online knowledge sharing behaviour.,Future research may consider different dimensions such as knowledge donating and collecting behaviours as well as motives, such as self-enjoyment, reciprocity or social interaction ties, which may be investigated to get a deeper understanding of online knowledge sharing behaviour.,Firms must tailor training and rewards to suit employees’ abilities and needs so as to align with organisation type and innovation.,The study’s distinctive contribution is the under-researched context of Vietnamese public and private sector banks for investigating the moderating effects of organisational innovation on micro and meso factors on online knowledge sharing behaviour.
59 citations
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TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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TL;DR: In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.
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TL;DR: In this article, a general null model based on modified independence among variables is proposed to provide an additional reference point for the statistical and scientific evaluation of covariance structure models, and the importance of supplementing statistical evaluation with incremental fit indices associated with the comparison of hierarchical models.
Abstract: Factor analysis, path analysis, structural equation modeling, and related multivariate statistical methods are based on maximum likelihood or generalized least squares estimation developed for covariance structure models. Large-sample theory provides a chi-square goodness-of-fit test for comparing a model against a general alternative model based on correlated variables. This model comparison is insufficient for model evaluation: In large samples virtually any model tends to be rejected as inadequate, and in small samples various competing models, if evaluated, might be equally acceptable. A general null model based on modified independence among variables is proposed to provide an additional reference point for the statistical and scientific evaluation of covariance structure models. Use of the null model in the context of a procedure that sequentially evaluates the statistical necessity of various sets of parameters places statistical methods in covariance structure analysis into a more complete framework. The concepts of ideal models and pseudo chi-square tests are introduced, and their roles in hypothesis testing are developed. The importance of supplementing statistical evaluation with incremental fit indices associated with the comparison of hierarchical models is also emphasized. Normed and nonnormed fit indices are developed and illustrated.
16,420 citations