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Big data readiness in the public sector: an assessment model and insights from Indonesian local governments

Kasmad Ariansyah (Research Center for Public Policy, National Research and Innovation Agency Republic of Indonesia, Jakarta, Indonesia)
Ahmad Budi Setiawan (Research Center for Public Policy, National Research and Innovation Agency Republic of Indonesia, Jakarta, Indonesia)
Alfin Hikmaturokhman (Faculty of Electrical and Telecommunication Engineering, Institut Teknologi Telkom Purwokerto, Purwokerto, Indonesia)
Ardison Ardison (Research Center for Public Policy, National Research and Innovation Agency Republic of Indonesia, Jakarta, Indonesia)
Djoko Walujo (Research Center for Public Policy, National Research and Innovation Agency Republic of Indonesia, Jakarta, Indonesia)

Journal of Science and Technology Policy Management

ISSN: 2053-4620

Article publication date: 16 January 2024

181

Abstract

Purpose

This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency levels. Additionally, the study aims to gain valuable insights into the readiness of selected local governments in Indonesia by using the established assessment model.

Design/methodology/approach

This study uses a mixed-method approach, using focus group discussions (FGDs), surveys and exploratory factor analysis (EFA) to establish the assessment model. The FGDs involve gathering perspectives on readiness variables from experts in academia, government and practice, whereas the survey collects data from a sample of selected local governments using a questionnaire developed based on the variables obtained in FGDs. The EFA is used on survey data to condense the variables into a smaller set of dimensions or factors. Ultimately, the assessment model is applied to evaluate the level of big data readiness among the selected Indonesian local governments.

Findings

FGDs identify 32 essential variables for evaluating the readiness of local governments to adopt big data. Subsequently, EFA reduces this number by five and organizes the remaining variables into four factors: big data strategy, policy and collaboration, infrastructure and human resources and data collection and utilization. The application of the assessment model reveals that the overall readiness for big data in the selected local governments is primarily moderate, with those in the Java cluster displaying higher readiness. In addition, the data collection and utilization factor achieves the highest score among the four factors.

Originality/value

This study offers an assessment model for evaluating big data readiness within local governments by combining perspectives from big data experts in academia, government and practice.

Keywords

Acknowledgements

The authors would like to acknowledge and extend sincere gratitude to the Agency for Research and Human Resources Development on Communications and Informatics, Ministry of Communications and Informatics, Republic of Indonesia, for indispensable assistance in providing data. Additionally, appreciation is expressed to the anonymous reviewers for their insightful feedback on a prior version of this article.

Citation

Ariansyah, K., Setiawan, A.B., Hikmaturokhman, A., Ardison, A. and Walujo, D. (2024), "Big data readiness in the public sector: an assessment model and insights from Indonesian local governments", Journal of Science and Technology Policy Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JSTPM-01-2023-0010

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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