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Mijail Naranjo-Zolotov Tiago Oliveira Sven Casteleyn Zahir Irani 《Government Information Quarterly》2019,36(3):536-545
Local governments around the world are increasingly implementing e-participation platforms to involve citizens in consultation and decision-making processes. E-participation platforms usually succeed and produce positive effects in the community when adopted in the long-term scenario. The adoption of those platforms is still a challenge for local governments. The understanding of the factors that influence the continuous intention to use e-participation over time is critical for the design of diffusion and promotion strategies that motivate the citizens to keep using e-participation. This article explores the drivers that predict the post-adoption of e-participation platforms from the perspective of the sense of virtual community theory, that is the degree of affective attachment to a given community mediated by information technology. Specifically, our research model evaluates the association between the sense of virtual community with use behaviour and the continuous intention to use e-participation. Structural equation modelling was used to evaluate the data collected from 370 citizens who experienced an e-participation platform hosted by a European capital city. We found out that the direct association between the sense of virtual community and use was significant. Even though the direct association between the sense of virtual community and the continuous intention was non-significant, the indirect association sense of virtual community to use to continuous intention was statistically significant. This finding may indicate that the use behaviour is triggered by the influence of other members of the community for a short period of time, but it does not persist to influence the continuous intention over time. 相似文献
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Two uses of anaphora resolution in summarization 总被引：4，自引：0，他引：4
Josef Steinberger Massimo Poesio Mijail A. Kabadjov Karel Jeek 《Information processing & management》2007,43(6):1663
We propose a new method for using anaphoric information in Latent Semantic Analysis (lsa), and discuss its application to develop an lsa-based summarizer which achieves a significantly better performance than a system not using anaphoric information, and a better performance by the rouge measure than all but one of the single-document summarizers participating in DUC-2002. Anaphoric information is automatically extracted using a new release of our own anaphora resolution system, guitar, which incorporates proper noun resolution. Our summarizer also includes a new approach for automatically identifying the dimensionality reduction of a document on the basis of the desired summarization percentage. Anaphoric information is also used to check the coherence of the summary produced by our summarizer, by a reference checker module which identifies anaphoric resolution errors caused by sentence extraction. 相似文献
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