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High‐tech industries in Taiwan exist in an environment with diverse product requirements and intense cost reduction and information integration stress. They must develop new operational directions to increase industry competitiveness. Therefore, Taiwan’s high‐tech industries must continue R&D and creativity, establish knowledge sharing mechanisms and improve new product development (NPD) performance. This research analyzed and explored the influences of knowledge management (KM) and knowledge sharing mechanisms introduced by Taiwan’s high‐tech industries on new product development performance. The relationship between knowledge management capabilities and NPD performance is studied. This research considers the intervening industry and corporate position variables. Taiwan’s high‐tech industries have gradually entered the era of IT region integration and application with competitive advantage creation based upon core techniques. The in‐depth study of knowledge management and knowledge sharing introduced by the high‐tech industry revealed double meanings in academic and practical applications. The research results showed the following: (1) the stronger the knowledge management capabilities of Taiwan’s high‐tech industries, the more significant the NPD performance. (2) The better the knowledge sharing mechanism in Taiwan’s high‐tech industries, the more significant the NPD performance. (3) Corporate scale is not necessarily the critical factor in NPD success and the influence of corporate scale on NPD performance did not show significant differences. (4) The stronger the degree of leading corporate techniques, the more significant the NPD performance.

This paper aims to propose a system dynamics model of blockchain online community knowledge sharing, with the following goals: to reveal the internal mechanism of blockchain technology on community knowledge sharing; to show the impact of blockchain technology on knowledge sharing; and to promote knowledge sharing and the self-development of blockchain online communities.

Based on the core characteristic factors of blockchain technology, including incentive mechanism, trust mechanism, information protection mechanism, etc., a knowledge sharing analysis framework is established. Through the use of the Vensim PLE (Personal Learning Version) software, according to the steps of “putting forward a dynamic hypothesis”, “establishing a system dynamic equations”, and then “model testing” and “simulation”, the article analyzes in depth the process and extent of the impact of the above features on online community knowledge sharing.

The results show that the blockchain incentive mechanism, trust mechanism and information protection mechanism all contribute to promoting an increase in the number of community knowledge sharing users, as well as in the total amount of knowledge shared. The results also show that the token reward in the incentive mechanism has in fact a higher degree of influence than the trust and information protection mechanisms.

At present, no research on the internal mechanism of knowledge sharing in blockchain online communities has been carried out. This article plays a complementary role in research in this field, and offers significant guidance for promoting online community knowledge management and online community development.

Many studies have integrated the mechanism of Creative Commons (CC) or similar mechanisms into web 2.0 platforms for supporting learning. The CC mechanism may create new types of knowledge sharing environments. The purpose of this paper is to explore students’ trust, knowledge sharing self-efficacy, and outcome expectations in the context of a knowledge sharing platform using the CC mechanism.

The participants were 86 sixth-grade Taiwanese students. Within the context of online drawing and storytelling activities, a quantitatively self-reported instrument was adopted to assess the sharing experience with the CC mechanism.

The results found complex interrelationships among trust, sharing self-efficacy, and outcome expectations identified in the literature. The results further reveal that students who showed high community-related outcome expectations would adopt the non-CC approach (read-only, i.e. the shared works can not be used and modified) as they possessed lower identification-based trust. In contrast, those who adopted CC approach (i.e. the shared works are able to be used and modified) placed higher level of economy-based trust and showed a lower level of community-related outcome expectations. The results reflect that students who have low performance expectancy and sharing self-efficacy are more willing to share their work using the CC approach.

The results of this paper show that in such a mechanism there exists close interplay between trust, sharing self-efficacy, and outcome expectations. It is therefore, suggested that researchers and educators should note the influence of the sharing mechanism on the sharing activity when knowledge sharing is involved in pedagogical design. The implications derived from the findings for educational practice were also discussed.

This paper aims at further developing and empirically examining the concept of knowledge‐sharing hostility. It seeks to analyze reasons for hoarding knowledge, reasons for rejecting external knowledge, and attitudes towards mistakes, as well as the influence of these factors on actual knowledge‐sharing behavior. The paper aims to examine how two specific knowledge‐governance mechanisms – commitment‐based and transaction‐based mechanisms – affect knowledge sharing

The authors test the hypotheses on a sample of 1,639 respondents in 15 organizations in Denmark.

The authors find that the use of transaction‐based mechanisms promotes knowledge‐sharing hostility by strengthening individuals' reasons for hoarding and rejecting knowledge, and by negatively affecting individuals' attitudes towards sharing knowledge about mistakes. In contrast, the use of commitment‐based mechanisms diminishes knowledge‐sharing hostility among individuals.

The contribution of the paper is two‐fold. First, it responds to the clear need to examine individual characteristics related to withholding knowledge in organizations. Second, by delineating specific organizational governance mechanisms that are critical for dealing with knowledge‐sharing hostility, the research responds to the call for research aimed at explaining and detailing problems that lie in the intersection of organization and knowledge processes.

This paper aims to uncover the combinations of knowledge sharing mechanisms that organizations in a science and technology park in Brazil use to share managerial and technical knowledge.

This research adopts a qualitative approach that uses a fuzzy set qualitative comparative analysis to analyze data that are gathered from 51 managers of organizations in a science and technology park.

The results show that knowledge sharing happens regardless of the type of knowledge. There are more alternative paths that lead to knowledge sharing than to its absence. Regarding the type of knowledge shared, there are more alternative configurations that lead to managerial knowledge sharing than to technical knowledge sharing. Only the older organizations in the science and technology park abstain from knowledge sharing.

Due to the qualitative nature of the study, no generalization is possible. Additionally, the study’s limitation is that it involves organizations from a single science and technology park.

The results offer managers of organizations in science and technology parks to choose from alternative combinations of mechanisms to either boost their knowledge sharing or to promote knowledge protection.

The paper provides an original contribution by identifying the combinations of mechanisms that organizations in a science and technology park use that leads to the sharing of specific knowledge types. The findings also identify the combination of mechanisms that older organizations use that prevents them from sharing knowledge.

This study aims to identify differences in knowledge-sharing mechanisms and personality among expert, typical and novice managers within the Malaysian public sector. Strengthening knowledge sharing function is essential for enabling public institutions around the world to be more productive.

This quantitative study involves 308 employees from management and professional groups within 98 local authorities in the Malaysian local government. Stratified random sampling techniques were used and the sampling frame comprised 1,000 staff using postal surveys. Data analyses were carried out using analysis of variance and correlations to test the research hypotheses.

The findings reveal that expert managers are more proactive in sharing their knowledge, particularly those with the personality traits of conscientiousness and openness. These two personality traits were also related to expert behaviours such as thoroughness, responsibility and persistence, which led to work competency and managerial success.

This study provides theoretical insights into how managerial tacit knowledge differs and can accumulate, depending on the personality traits of middle managers. The paper shows the different mechanisms of knowledge sharing, tacit knowledge and personality among expert, typical and novice managers. Practically, this study is important for guiding senior managers in their attempts to identify the most appropriate personalities of their middle managers. This study found that the expert group was higher in conscientiousness, openness and overall personality traits compared with the typical and novice groups. The paper also highlights the value of sharing managerial tacit knowledge effectively.

The purpose of this paper is to investigate the effect of interpersonal trust, team leader support, rewards, and knowledge sharing mechanisms on voluntary knowledge sharing in software development project teams in Sri Lanka.

Survey methodology was used and 150 software developers who were directly involved in developing and maintaining a software product from project teams responded. Regression analysis was used for data analysis.

Interpersonal trust and rewards have significant positive effects on knowledge sharing. Although it was anticipated that the team leader support would be a significant predictor of knowledge sharing, the results did not provide evidence for a positive and significant relationship. “Work‐group communications” and “Personal interactions” had significant positive effects on knowledge sharing.

It is expected that the findings of this study will provide useful information to better understand the predictors of the extent of knowledge sharing at the individual level in the context of project teams. By doing so, this exploratory study will be able to establish baseline data and would be a source of general guidance in stimulating future research in this area.

Knowledge sharing is an important way to improve the knowledge system of industrial construction, and the supervision mechanism is an important way to improve the efficiency of knowledge sharing. However, some research works and practices indicate that the effects of applying the supervision mechanism are not obvious. Therefore, the purpose of this paper is to propose an incentive method of knowledge sharing based on the supervision mechanism for promoting knowledge sharing among member enterprises in the industrial construction supply chain.

A basic incentive model and an optimization model of knowledge sharing in the industrial construction supply chain based on the supervision mechanism were developed via the principal–agent theory. Weighted coefficients of explicit and implicit knowledge sharing were introduced into the basic model, while the supervision reward was added into the basic model of the optimization model. The effect of these two models was compared and analyzed via numerical simulation.

The optimal incentive coefficient and effort level of knowledge sharing can be obtained by solving the two aforementioned models. The results of the comparison between the two models indicate that the introduction of a supervisory reward improved the effort level and expected earnings produced by knowledge sharing, but reduced the confirmed equal earnings of member enterprises in the industrial construction supply chain.

Mutual transformation between tacit and explicit knowledge was not considered, and supervisory costs were also not considered, in the estimation of the output of knowledge sharing.

The new models proposed by this study provide theoretical guidance for the design of knowledge sharing incentive measures in the industrial construction supply chain based on the supervision mechanism. The findings suggest that member enterprises should pay attention to the costs of knowledge sharing, in order to obtain more benefits.

This study introduced the weight coefficients of explicit and implicit knowledge sharing into a previous incentive model, proposed an incentive optimization model of knowledge sharing in the industrial construction supply chain based on a supervisory mechanism, and revealed the change rules of related variables that affect the model with the change in weight coefficients. The findings verify the effectiveness of introducing supervisory reward measures and extend the range of theoretical application.

This paper aims to identify empirically the influence of learning mechanisms provided by organizations on knowledge sharing in the organizational environment.

A quantitative study was developed in which a sample of 268 individuals from civil and military organizations of the Federal Direct Administration was researched. The questionnaire used was composed of the Organizational Learning Mechanism Scale, which was adapted at the time of the present study, in addition to a scale on knowledge sharing, which was developed within the scope of this research. After performing the factorial analysis for both scales, a canonical correlation analysis was performed between the group of variables associated with the learning mechanisms (independent variables) and the group of variables on knowledge sharing (dependent variables).

The results found in the canonical correlation analysis indicate that the learning mechanisms are responsible for explaining 35 per cent of the variance (R² = 0.352) of the group of variables on knowledge sharing.

The findings of this research can help the researched organizations to increase the knowledge management actions, mainly in relation to the actions that favor social interaction among the individuals in the work environment, making possible the exchange of knowledge and experiences in the internal organizational context, and exploring in a positive way actions related to internal acquisition.

The deeper knowledge about the relationship between organizational actions promoted by top management and knowledge support decision-making in the organizational environment regarding contextual factors that influence social interaction between individuals. In relation to the sharing of knowledge, a high correlation of knowledge absorption and reproduction aspects with the knowledge sharing phenomenon was perceived, so that the possibility of organizations thinking in ways that provide the individual with formal and informal environments can be foreseen.

The main contributions of this research are to measure the intensity of the relationship between learning mechanisms and knowledge sharing; and to test the predictive effect of learning mechanisms on knowledge sharing. Regarding the methodological aspects, it was opportune to approach the phenomenon through a little used lens in the context of administration research: the analysis of canonical correlation, which represents another look at the influence of the actions of the top management and the interaction of individuals. The discussions and the data analysis carried out in this research allow us to envisage significant contributions of this work to the analysis and theoretical refinement of the study of the variables treated.

This study aims to not only develop measurements of preferential attachment and homophily mechanisms based on their definitions and network theory but also examine the associations among these network mechanisms, community commitment, knowledge sharing and community citizenship behavior.

In total, 250 valid questionnaires are collected to examine the hypothesized associations. These hypotheses are examined by using partial least squares structural equation modeling.

The findings reveal both mechanisms are beneficial to develop new entrants’ emotional attachment to a virtual community, thereby motivating knowledge sharing and community altruistic behavior. The results contribute some practical and theoretical implications that are very helpful for the conceptualization of network mechanisms, community development, relationship management and incentives for extra-role behavior.

The literature on the link between network selection mechanisms and knowledge sharing remains unknown. This study is the pioneer to disclose this unknown association and examine the impacts of preferential attachment and homophily network mechanisms.