Design of a Government Collaboration Service Map by Big Data Analytics

Korean government has divided works by bureau in order to handle diverse social phenomena in an efficient manner. Due to increase in social complexity, however, abrupt social phenomena have frequently occurred. In addition, it has become difficult to handle them efficiently through inter-government collaboration with a conventional labor-division framework. Based on these aspects, this study measures and quantifies the activities in a work unit designed for the productive management of collaboration and divides them into the following functions to have a general view in connection with these visible activities: analysis of collaborative works, relation analysis, visualization, search for collaboration assistant, promotion of information and discovery of collaborative projects. This study attempts to implement these functions through big data analytics. The purposes of this study are to i) support the achievement of competent government which is the primary goal of Government 3.0 for the effective management and advanced response to complicated social phenomena through the utilization of a collaboration map and ii) investigate current collaborations through the realization of an intra-government collaboration amp and suggest a direction for desirable collaboration. In terms of expectation effects, this study would improve services for the general public through the followings: elimination of bottleneck in communications among government employees using the government collaboration map developed based on social networking analysis (SNA) technique, investigation on intra-government redundant duties and securing a general view on collaboration tasks. (C) 2016 Published by Elsevier B.V.