A unified model of knowledge sharing behaviours: theoretical development and empirical test

Chennamaneni, Anitha; Teng, JamesT. C.; Raja, M. K.

doi:10.1080/0144929x.2011.624637

Cited by 166 publications

(184 citation statements)

References 79 publications

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“…The experience gained fro m this emp irical research emphasized RE as the main predictor of KS activit ies in the context o f LBK E-sharing. This finding is also consistent with related studies [14,24]. Furthermore, even W E can be pred icted by RE, as the relationship between them has been shown to have the strongest exp loratory power (β=95%).…”

Section: B Structural Modelsupporting

confidence: 81%

“…The findings indicate that LBK contributors seek either emotional value (reputation and recognition) or monetary returns (economic value and reward). Such segmentation of LBK contributors is consistent with prio r research [14,23,44]. In this respect, marketing managers can motivate LBK contributors with various techniques tailored for each customer segment.…”

Section: B Structural Modelmentioning

confidence: 61%

“…In the context of knowledge sharing, a relat ionship between attitude and intention was found to exist [27]. In particular, attitudes toward KS were found to be the strongest predictor of behavioural intention to share knowledge [14]. As opposed to knowledge sharing, some cu ltural norms promote knowledge hoarding, whereby experts h ide important knowledge irrespective of any negative consequences [30].…”

Section: H1: Reward Expectancy Is Positively Associated With Incentivmentioning

confidence: 99%

“…Therefore, it can be concluded that this model represented an initial study that opens new directions for further research. This could be achieved by extending the model and incorporating additional factors, such as perceived behavioural control and subjective norms [14]. In addition, potential factors could be drawn fro m the KS literature, such as altru ism and expected relationships [44].…”

Section: B Structural Modelmentioning

confidence: 99%

“…The first stream of research investigated traditional aspects of KS in two main contexts: organization and individual. First, the scholarly research investigated various aspects of KS behaviour in an organizational context [14,15]. It focused on traditional KS concepts within organizations, such as psychological, organizational, environmental and technological factors.…”

Section: Theoretical Underpinningsmentioning

confidence: 99%

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Modelling Electronic Sharing (E-Sharing) Behaviour: A Perspective on Location-aware Technology

Alotaibi¹

2017

IJISA

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Abstract-The purpose of this paper is to investigate the factors affecting electronic sharing (E-sharing) behaviour, with a particular focus on location-aware technology. Based on an extensive literature rev iew, a structural model consisting of seven factors was proposed to model the E-sharing behaviour of location-based knowledge (LBK). The main constructs were: reward expectancy (WE), reputation expectancy (RE), perceived benefits (PB), perceived trust (PT), attitudes towards LBK, attitudes toward knowledge sharing incentives (KSI) and intention to share knowledge (ISK). The model was examined by empirical data gathered from four hundred and ninety (n=490) respondents. Results herein indicate that attitude toward KSI can be determined by the RE and WE, while attitude toward LBK E-sharing can be predicted by the PB and PT. The two attitude constructs (KSI and LBK) can determine the behavioural ISK. All of the proposed relationships within the model were statistically significant.

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Section: B Structural Modelsupporting

confidence: 81%

Section: B Structural Modelmentioning

confidence: 61%

Section: H1: Reward Expectancy Is Positively Associated With Incentivmentioning

confidence: 99%

Section: B Structural Modelmentioning

confidence: 99%

Section: Theoretical Underpinningsmentioning

confidence: 99%

See 3 more Smart Citations

Modelling Electronic Sharing (E-Sharing) Behaviour: A Perspective on Location-aware Technology

Alotaibi¹

2017

IJISA

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What Motivates Experts to Share? A Prospective Test of the Model of Knowledge‐Sharing Motivation

Stenius

Haukkala

Hankonen

et al. 2016

Human Resource Management

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Knowledge sharing is an employee behavior, critical to organizational success in knowledge‐intensive work environments. This study set out to empirically test the model of knowledge‐sharing motivation designed and presented in this journal by Gagné (2009). The model combines two established behavioral theories, the theory of planned behavior and self‐determination theory, and connects various human resource practices to it. This prospective survey study ( n = 200) in a large expert organization employed structural equation modeling. The results mainly supported the proposed model, with attitudes, autonomous motivation, and sharing norms predicting knowledge‐sharing intentions ( R2 = .69), which predicted knowledge‐sharing behavior ( R2 = .42). We also identified potential ways to modify the model to better suit typical knowledge‐sharing contexts. Implications for practice, with the emphasis on how our findings can benefit and be used by human resource management, are discussed. © 2016 Wiley Periodicals, Inc.

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Linkage between contextual factors, knowledge‐sharing mediums, and behaviour: Moderating effect of knowledge‐sharing intentions

Dey

Mukhopadhyay

2018

Knowl Process Manag

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In today's competitive and dynamic economy, knowledge‐intensive organisations constantly face challenges for sustenance. Therefore, successful knowledge management (KM) system is viewed as an important factor to maintain competitive advantage. These days, knowledge‐sharing practices are encouraged in organisations to improve performance of the human assets. However, the behaviour of employees determines the success of potential KM system of organisations, which often fails due to various organisational and individual factors. On the basis of prior literature, this paper investigates the effect of varying internal and external dimensions, which are contextual factors, knowledge‐sharing mediums (KSM), and knowledge‐sharing intentions on knowledge‐sharing behaviour (KSB) of employees. Data were gathered from a sample of 231 managers of various public sector units in India. The results are analysed using hierarchical multiple regression. The outcomes of this study show the impact of contextual factors and KSM on KSB. Further analysis leads to the conclusion that there is a moderating effect of knowledge‐sharing intentions on this relationship. This research intends to contribute the understanding of KSB to help managers in promoting knowledge sharing and hence developing knowledge base in organisations. This study will also encourage better managerial practices to build an environment for knowledge dissemination. Moreover, it also provides insight related to importance of KSM in promoting efficient KM processes, making this article important for both practitioners and academicians.

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A unified model of knowledge sharing behaviours: theoretical development and empirical test

Cited by 166 publications

References 79 publications

Modelling Electronic Sharing (E-Sharing) Behaviour: A Perspective on Location-aware Technology

Modelling Electronic Sharing (E-Sharing) Behaviour: A Perspective on Location-aware Technology

What Motivates Experts to Share? A Prospective Test of the Model of Knowledge‐Sharing Motivation

Linkage between contextual factors, knowledge‐sharing mediums, and behaviour: Moderating effect of knowledge‐sharing intentions

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