The Critical Success Factors for Big Data Adoption in Government

International Journal of Mechanical Engineering and Technology, 10(3), 2019, pp. 864-875

12 Pages Posted: 20 Sep 2019

See all articles by Novan Zulkarnain

Novan Zulkarnain

Information System Department, School of Information System Bina Nusantara University, Jakarta, Indonesia 11480

Ms. Meyliana

Bina Nusantara University, School of Information Systems, Jakarta, Indonesia 11480

Harjanto Prabowo

Bina Nusantara University, Jakarta Indonesia

Ahmad Nizar Hidayanto

Universitas Indonesia, Depok, Indonesia 16424

Date Written: September 12, 2019

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: Critical success factors; CSFs; Big Data; E-Government; systematic literature review; SLR

Suggested Citation

Zulkarnain, Novan and Meyliana, Ms. and Prabowo, Harjanto and Nizar Hidayanto, Ahmad, The Critical Success Factors for Big Data Adoption in Government (September 12, 2019). International Journal of Mechanical Engineering and Technology, 10(3), 2019, pp. 864-875, Available at SSRN: https://ssrn.com/abstract=3452427

Novan Zulkarnain

Information System Department, School of Information System Bina Nusantara University, Jakarta, Indonesia 11480 ( email )

Jl. K. H. Syahdan No. 9
Kemanggisan / Palmerah
Jakarta Barat, ID DKI Jakarta 11480
Indonesia

Ms. Meyliana (Contact Author)

Bina Nusantara University, School of Information Systems, Jakarta, Indonesia 11480 ( email )

Jl. K. H. Syahdan No. 9
Kemanggisan / Palmerah
Jakarta Barat, ID DKI Jakarta 11480
Indonesia

Harjanto Prabowo

Bina Nusantara University, Jakarta Indonesia ( email )

Jl. K. H. Syahdan No. 9
Kemanggisan / Palmerah
Jakarta Barat, ID DKI Jakarta 11480
Indonesia

Ahmad Nizar Hidayanto

Universitas Indonesia, Depok, Indonesia 16424 ( email )

Jl. Prof. Sumitro Djojohadikusumo
Depok, DKI 16424
Indonesia

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