Investigating effectiveness and user acceptance of semantic social tagging for knowledge sharing

Huang, Shiu-Li; Lin, Sheng-cheng; Chan, Yung-Chun

doi:10.1016/j.ipm.2011.07.004

Cited by 28 publications

(16 citation statements)

References 43 publications

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“…Delone and McLean (1992) model (D&M model) identified six variables of IS success that influence technology acceptance of user groups. The TAM and D&M models have been successfully used in a lot of empirical research to predict behaviours in relation to technology acceptance (Huang, Lin and Chan, 2012). Al-Debei, Jalal and Al-Lozi (2013) used D&M model as foundational theory to investigate the role of web portals in improving job performance for employees.…”

Section: Technology Adoption Theory: Related Developmentsmentioning

confidence: 99%

The relationships among information systems, knowledge sharing, and customer relationship management in banking industry

Phùng

2016

IJECRM

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Knowledge sharing continues to be an important research topic because it is a prerequisite to good customer relationship management (CRM). Knowledge sharing will lead to higher profitability through increasing CRM capability. This idea seems to have been ignored by other researchers. Previous research has focused on individuals' belief, attitudes, and behaviours that affect knowledge sharing and CRM but had paid little attention to the fact that technology is a mechanism that fosters knowledge sharing and hence increases CRM profitability. Applying the technology acceptance model (TAM) and Delone and McLean (D&M), the article presents a synthesis framework linking technology characteristics, beliefs of users, knowledge sharing, CRM capabilities, and profitability. We test the framework thorough the Structural Equation Modelling (SEM) approach. The data consist of 325 questionnaires for the banking industry in Vietnam. The study reveals that technology characteristics have a significant impact on knowledge sharing but not on CRM. Moreover, the research found that knowledge sharing contributes to improving CRM capability and profitability.

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Section: Technology Adoption Theory: Related Developmentsmentioning

confidence: 99%

The relationships among information systems, knowledge sharing, and customer relationship management in banking industry

Phùng

2016

IJECRM

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“…This has also been demonstrated in previous studies. On the one hand, recognition and improvement of one's status or reputation can be motivators for sharing knowledge [94]. On the other hand, it has been shown that career advantages should be considered and worked out more.…”

Section: Discussionmentioning

confidence: 99%

When are researchers willing to share their data? – Impacts of values and uncertainty on open data in academia

et al. 2020

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Background E-science technologies have significantly increased the availability of data. Research grant providers such as the European Union increasingly require open access publishing of research results and data. However, despite its significance to research, the adoption rate of open data technology remains low across all disciplines, especially in Europe where research has primarily focused on technical solutions (such as Zenodo or the Open Science Framework) or considered only parts of the issue. Methods and findings In this study, we emphasized the non-technical factors perceived value and uncertainty factors in the context of academia, which impact researchers' acceptance of open data-the idea that researchers should not only publish their findings in the form of articles or reports, but also share the corresponding raw data sets. We present the results of a broad quantitative analysis including N = 995 researchers from 13 large to medium-sized universities in Germany. In order to test 11 hypotheses regarding researchers' intentions to share their data, as well as detect any hierarchical or disciplinary differences, we employed a structured equation model (SEM) following the partial least squares (PLS) modeling approach. Conclusions Grounded in the value-based theory, this article proclaims that most individuals in academia embrace open data when the perceived advantages outweigh the disadvantages. Furthermore, uncertainty factors impact the perceived value (consisting of the perceived advantages and disadvantages) of sharing research data. We found that researchers' assumptions about effort required during the data preparation process were diminished by awareness of e-science technologies (such as Zenodo or the Open Science Framework), which also increased their tendency to perceive personal benefits via data exchange.

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“…This can result in the expansion of the formal structured vocabularies with new terms [24]. However this approach has its own limitations, mostly related to issues with vague meaning, term variations, homonyms and polysemy, and may result in tags that only make sense to an individual user, making it difficult to build a hierarchy of concepts [9].…”

Section: B2notementioning

confidence: 99%

Promoting Semantic Annotation of Research Data by Their Creators: A Use Case with B2NOTE at the End of the RDM Workflow

Karimova

Castro

Silva

et al. 2017

Metadata and Semantic Research

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Research data management is promoted at different levels with awareness actions carried out to encourage cooperation between researchers. However, data management requires tools to set the scene for researchers and institutions to disseminate the research data they produce. In this context good quality metadata play an important role by enabling data reuse. EUDAT is an European common data infrastructure, with integrated services for data preservation and dissemination. The TAIL project, at the University of Porto, proposes workflows based on Dendro, a collaborative environment that helps researchers prepare well described datasets and deposit them in a data repository. We propose a data deposit workflow use case for a small research project with emphasis in data annotation. Data is organized and described in Dendro; deposited in B2SHARE; and semantic annotation is performed with the new B2NOTE service from EUDAT.

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Investigating effectiveness and user acceptance of semantic social tagging for knowledge sharing

Cited by 28 publications

References 43 publications

The relationships among information systems, knowledge sharing, and customer relationship management in banking industry

The relationships among information systems, knowledge sharing, and customer relationship management in banking industry

When are researchers willing to share their data? – Impacts of values and uncertainty on open data in academia

Promoting Semantic Annotation of Research Data by Their Creators: A Use Case with B2NOTE at the End of the RDM Workflow

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