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An object-oriented workflow modeling schema using dataflow analysis for collaborative e-governance platform

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the initial stage of transforming from government to governance for developing countries, collaborative e-governance platforms should be urgently established in different contexts. Though some platforms have been previously applied to various fields, researches on common basic functions analysis and across-organization business process modeling based on a suitable workflow modeling method for the platforms design and development are insufficient. Based on an explorative analysis of platform functions and their patterns, we propose a schema for e-governance platforms modeling according to an extended method of object-oriented workflow modeling using dataflow analysis. It covers a two-step process of top-level platform workflow modeling and function objection workflow modeling. In addition, a citizen appeal processing platform is taken as an example to illustrate the utility of the schema. The schema facilitates the contextualized collaborative e-governance platforms development with an operable method and reusable function workflow models.

Original languageEnglish
Title of host publicationProceedings of the 50th Annual Hawaii International Conference on System Sciences, HICSS 2017
EditorsTung X. Bui, Ralph Sprague
PublisherIEEE Computer Society
Pages607-616
Number of pages10
ISBN (Electronic)9780998133102
StatePublished - 2017
Event50th Annual Hawaii International Conference on System Sciences, HICSS 2017 - Big Island, United States
Duration: 3 Jan 20177 Jan 2017

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2017-January
ISSN (Print)1530-1605

Conference

Conference50th Annual Hawaii International Conference on System Sciences, HICSS 2017
Country/TerritoryUnited States
CityBig Island
Period3/01/177/01/17

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