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We collect 142 keywords from 2646 papers published in the Web of Science from 2000 to 2019 as the study object. Then, we identify four research categories: (1) technology and modelling in e-government, (2) drivers of e-government development, (3) public management and (4) governmental management. From public and government perspectives, we outline the spatial structure which includes theories and practices research and conclude four research paradigms: (1) theoretical modelling and application, (2) e-government development, (3) status of public management and (4) status of governmental management. Finally, we develop a 3D spatial map to analyse noteworthy topics and explore the well-studied themes: government-to-citizen, government-to-government and government-to-business, and the under-studied themes: government-to-civil society organisations and citizens-to-citizens, which helps scholars research e-government roundly.<\/jats:p>","DOI":"10.1177\/0165551520978346","type":"journal-article","created":{"date-parts":[[2021,5,14]],"date-time":"2021-05-14T04:54:41Z","timestamp":1620968081000},"page":"676-685","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Structuration analysis of e-government studies: A bibliometric analysis based on knowledge maps"],"prefix":"10.1177","volume":"48","author":[{"given":"Huii","family":"Jiang","sequence":"first","affiliation":[{"name":"School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou, China; School of 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