Over the past decade, governments around the world have been trying to take advantage of Big Data technology to improve public services with citizens. The adoption of Big Data has increased in most countries, but at the same time, the rate of successful adoption and management varies from one country to another. | The critical success factors for big data adoption in government International Journal of Mechanical Engineering and Technology IJMET Volume 10 Issue 03 March 2019 pp. 864-875. Article ID IJMET_10_03_089 Available online at http ijmet JType IJMET amp VType 10 amp IType 3 ISSN Print 0976-6340 and ISSN Online 0976-6359 IAEME Publication Scopus Indexed THE CRITICAL SUCCESS FACTORS FOR BIG DATA ADOPTION IN GOVERNMENT Novan Zulkarnain Computer Science Department BINUS Graduate Program Doctor of Computer Science Information System Department School of Information System Bina Nusantara University Jakarta Indonesia 11480 Meyliana Information System Department School of Information System Bina Nusantara University Jakarta Indonesia 11480 Ahmad Nizar Hidayanto Faculty of Computer Science Universitas Indonesia Depok Indonesia 16424 Harjanto Prabowo Management Department BINUS Business School Undergraduate Program Information System Department School of Information System Bina Nusantara University Jakarta Indonesia 11480 ABSTRACT Over the past decade governments around the world have been trying to take advantage of Big Data technology to improve public services with citizens. The adoption of Big Data has increased in most countries but at the same time the rate of successful adoption and management varies from one country to another. A systematic review of the literature SLR was carried out to identify the critical success factors CSF for the adoption of big data in the government. It includes the critical success factor of the adoption of Big Data in the government in the last 10 years. It presents the general trends that examine 183 journals and numerous literary works related to government operations the provision of public services citizen participation decision making and policies and governance reform. We selected 90 journals and found 11 classification factors that refer to the successions of a Big Data adoption in the government. Keywords .
