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Articles

An extensible framework for collaborative e-governance platform workflow modeling using data flow analysis

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ABSTRACT

As IT-enabled collaborative technologies facilitate the transformation from government to governance, governments are working to establish collaborative e-governance platforms across organizational boundaries in different contexts, especially in developed countries. In contrast, most developing countries are still at a nascent stage of platform construction. There is little research investigating the function-oriented across-organization platform modeling required to drive platform design and development for developing countries. Therefore, we propose a framework for collaborative e-governance platform workflow modeling, including three level-extensible dimensions of requirement, method, and model. Specifically, we identify four basic functions and eight patterns, extend a method of object-oriented workflow modeling using data flow analysis, and separately model the platform on the top level and object level. Finally, we apply the framework to a citizen appeal processing platform to validate its utility. The framework provides an operable method and reusable function object models, which contribute to the contextualized collaborative e-governance platform modeling for developing regions.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Luning Liu is an associate professor in the Department of Management Science and Engineering in the School of Management at Harbin Institute of Technology (HIT), China. He received his BS, MS and Ph.D. in Information Systems from HIT. His research primarily focuses on enterprise information systems implementation and assimilation, big data and e-government. His work has been published in European Journal of Information Systems, Computers in Human Behavior, Journal of Global Information Management, Interactive Learning Environments, Industrial Management & Data Systems, Scientometrics, and conferences including the Hawaii International Conference on System Sciences (HICSS), the European Conference on Information Systems (ECIS), the Americas Conference on Information Systems (AMCIS), and the Pacific Asia Conference on Information Systems (PACIS).

Jingrui Ju is a Ph.D. candidate in the Department of Management Science and Engineering in the School of Management at HIT, China. She received her MS in Information Systems from HIT and BS in Information Management and Information System from Hefei University of Technology. Her research primarily focuses on big data and e-government, e-governance. Her work has been published in the HICSS and Wuhan International Conference on E-Business.

Yuqiang Feng is a Professor in the Department of Management Science and Engineering in the School of Management, HIT, China. She received her BS in Computer Science, MS in Management Engineering and Ph.D. in Management Science and Engineering from HIT. Her research primarily focuses on management information systems, decision support systems, negotiation support systems and online auction. Her work has been published in European Journal of Information Systems, Information & Management, Computers in Human Behavior, Behaviour & Information Technology, Journal of Global Information Management, Industrial Management & Data Systems, Scientometrics, and conferences including the HICSS, the ECIS, the AMCIS, and the PACIS.

Additional information

Funding

This research was supported by the National Natural Science Foundation of the People Republic of China [grant numbers 91646105, 71201039, 71429001, 71472053], the Ph.D. Programs Foundation of Ministry of Education of China [grant number 20132302110017], and the Postdoctoral Science Foundation of China [grant numbers 2014M550198, 2015T80363].

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