Comparative and Collaborative Data Management as a Driver for Regional Competitiveness Efficiency in the Economic Development Region

Andjar Prasetyo; Trisnani Trisnani; Heri Wahyudianto; Agustinus Hartopo; Joula Olvy Maya Sondakh; Juliana Carolina Kilmanun; Ndoheba Kenda

doi:10.2991/978-2-38476-118-0_22

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Comparative and Collaborative Data Management as a Driver for Regional Competitiveness Efficiency in the Economic Development Region

Authors

Andjar Prasetyo¹^{, *}, Trisnani Trisnani², Heri Wahyudianto³, Agustinus Hartopo³, Joula Olvy Maya Sondakh⁴, Juliana Carolina Kilmanun⁵, Ndoheba Kenda²

¹Regional Development Planning Agency of Magelang City, Magelang, Indonesia

²National Research and Innovation Agency, Jakarta, Indonesia

³Regional Development Planning Agency of Papua Province, Jayapura, Indonesia

⁴Research Center for Macroeconomics and Finance, National Research and Innovation Agency, Jakarta, Indonesia

⁵Research Center for Behavioral and Circular Economics, National Research and Innovation Agency, Jakarta, Indonesia

^*Corresponding author. Email: andjar.prasetyo1@gmail.com

Corresponding Author

Andjar Prasetyo

Available Online 10 October 2023.

DOI: 10.2991/978-2-38476-118-0_22 How to use a DOI?
Keywords: Comparative; Collaborative; Data Management; Regional Competitiveness; Efficiency
Abstract: The complexity of data quality management is revealed when people, processes and technology are involved in the process. The use of regional competitiveness data is a prerequisite for the analysis of economic development area boundaries in Central Java Province. This study aims to describe and analyse how regional competitiveness is managed based on six challenges that are considered to be closely related to data management. The research method refers to a qualitative approach that tends to describe the results of analyzing using study sites in Purwomanggung Development Area, Central Java Province. Secondary data is supported by stakeholders related to the study; primary data are presented with sources from tracking regional competitiveness needs. Collecting data took four months from July to October 2022. The analysis was presented by visualising regional competitiveness data in five regions within the boundaries of Purwomanggung Economic Development Area. The study results found regional competitiveness data management based on indices, aspects and pillars for five regions in Purwomanggung Economic Development Area. The differences in regional competitiveness data management were due to the management of policy and regulatory issues, governance issues, human and behaviour issues, process and quality issues, technological issues, and cultural and organizational issues. The implications of this research place policy challenges as a key strategic process in the management of regional competitiveness data.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 4th Borobudur International Symposium on Humanities and Social Science 2022 (BIS-HSS 2022)
Series: Advances in Social Science, Education and Humanities Research
Publication Date: 10 October 2023
ISBN: 10.2991/978-2-38476-118-0_22
ISSN: 2352-5398
DOI: 10.2991/978-2-38476-118-0_22 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Andjar Prasetyo
AU  - Trisnani Trisnani
AU  - Heri Wahyudianto
AU  - Agustinus Hartopo
AU  - Joula Olvy Maya Sondakh
AU  - Juliana Carolina Kilmanun
AU  - Ndoheba Kenda
PY  - 2023
DA  - 2023/10/10
TI  - Comparative and Collaborative Data Management as a Driver for Regional Competitiveness Efficiency in the Economic Development Region
BT  - Proceedings of the 4th Borobudur International Symposium on Humanities and Social Science 2022 (BIS-HSS 2022)
PB  - Atlantis Press
SP  - 196
EP  - 208
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-118-0_22
DO  - 10.2991/978-2-38476-118-0_22
ID  - Prasetyo2023
ER  -

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