Purpose – The purpose of this paper is to introduce a new knowledge quality assessment framework based on interdependencies between content and schema as knowledge resources to enhance the quality of the knowledge that is being generated, disseminated and stored in a collaborative environment. Design/methodology/approach – A knowledge elaboration approach is based on intervening factors of schematic clustering applied to a trial wiki bulletin board. Through this schematic intervention in the form of group creation within a wiki environment, a user-centric mechanism is created to substantiate, compose and narrate the generated contents in a self-organizing way. Findings – Through this approach, quality in content can be enhanced by means of a favourably manipulated collaboration schema adopted by the knowledge management system (KMS) users instead of applying knowledge mining tools. Research limitations/implications – With consideration to trust as a significant factor in this study, the verification and referral process may vary for KMS structures that are of larger scale or in low-trust collaborative environments. Originality/value – This study demonstrates transition to higher quality knowledge with less time spent on the original content refinement and composition by paying due consideration to the interdependencies between knowledge resource content and its schema. Validation is done via a clustered group structure in a specially designed wiki which had been used as a discussion bulletin board on directed topics over an extended period.
This study tries to give a different perspective of the cloud application through a personal knowledge management perspective and its structure in the cloud computing environment. In recent years, there has been a great hype about cloud computing and different books and literature reviews have classified different types of cloud with various definitions and criteria focusing on mainly three different layers of services being infrastructure, platform and software. Instead, this paper provides a meta-observation over an integrated cloud ecosystem through the knowledge window through which a deeper insight into how the cloud, as an ecosystem, provides services that are not feasible in many conventional knowledge management approaches. Adopting a top-down approach, this study tries to illustrate the implications of the cloud at the personal levels from a knowledge-oriented perspective.
Purpose -The purpose of this paper is to look into the impact of important social motives on knowledge-sharing behavior in a collaborative environment and how people might react to each of these motives. Design/methodology/approach -The applied methodology used in this paper is based on an online survey and statistical hypothesis developed for each of the motives with different comparison means under two circumstances. Findings -The paper exhibits the different impact of each of the motives over the sharing behaviour in collaborative platforms. Despite general beliefs, although many motives might not have a very significant impact under normal behavioral circumstances that is based on either an agreement or disagreement level, all of those tested motives show a positive tendency when tested on the neutral (Dilemma) position. Research limitations/implications -This study has examined a small and generalized group of people for social networking analysis with a limited number of motivational factors tested. Future research can extend the findings on a greater scale and/or examination of more diverse motives. Originality/value -This study tries to change the presumptions about the collaboration-sharing behaviours and motives and how social environment can behave differently under the same circumstances on a business-oriented platform. The study also suggests how the findings can be applied to leverage social collaboration more efficiently to enhance knowledge sharing for business purposes.
Nowadays, learning is continuing and seeks to selecting suitable tools to support better learning. Learners are discovering new uses of the technologies for their learning by building their own personal learning environment and network (PLE&N). Many of these tools are Web 2.0 tools, including discussion forums, file/video sharing, RSS feeds and social networks. However, the existing tools are loosely connected. It is time consuming to manage them. This paper discusses the use of PLE&N with a web services interoperability tool, IFTTT (aka If This Then That), which bridges the web services. The benefits of how a PLE&N with IFTTT is discussed to support personal knowledge management for better learning. Individual knowledge workers are continuing being empowered by such Web 2.0 tools in the cloud to pursue personal goals and aspirations.
Purpose This study aims to examine the impact of different subtypes of trust on the willingness of companies to share knowledge. To measure improvement in work performance, three perspectives of interpersonal trust, institution-based trust and their combined effect on fostering trust are examined. Design/methodology/approach A comparative analysis and quantitative measurement are used in this study (with a sample size of 147) to determine which knowledge-sharing channels need to be established to increase effectiveness and efficiency. Findings This study found that both interpersonal and institutional trust can positively influence employees' willingness to share personal knowledge. Despite this, the combination of these two types of trust cannot outperform the scenarios in which one type of trust can reach its maximum. As a result of institutional trust, trustees are more likely to trust others when they feel protected. Research limitations/implications Trust may take on multiple dimensions in different business contexts and industries. In this study, the limited sample size and domain may only reveal some of these aspects of trust, which may not be representative of other contexts. Originality/value Few researchers have examined the degree of trust and its impact on knowledge dissemination using relevant parameters. Their focus is solely on the interaction between interpersonal trust and knowledge sharing. As a result of this study, the concept of “trust” was quantified, with more tangible metrics to provide better estimates when assessed in different business contexts.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.