The DOI matches its Crossref record.
Big Data Analytics Initiatives Using Business Intelligence Maturity Model Approach in Public Sector
Abstract
Big Data requirement in Public Sector is gaining focus in many countries. Described in the Eleventh Malaysia Plan 2016–2020, Big Data Analytics (BDA) has been identified as key focus for Information and Communications Technology (ICT). Especially with the recent participation of Trans-Pacific Partnership Agreement, Malaysia will be competing amongst other nations to make quick and accurate decision contributing to economic and GDP growth. With good understanding and guided implementation framework of Business Intelligence, right and agile decision can be made using the various available information. Malaysia Public Sector requires ICT involvement in Business Intelligence domain to perform Big Data Analytics. With evolving of data availability and needs for building correlation with different sets of data, Big-Data offers an emerging space to analyze wealth of information form structure, semi-structured and un-structured data set. Business Intelligence provides an organization the insight required to make the key and critical decision for leading competitive edge.
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“The public sector has received less attention than the private sector in the procurement literature [53,54].”
From The Impact of Electronic Procurement Adoption on Green Procurement towards Sustainable Supply Chain Performance-Evidence from Malaysian ISO Organizations (2022) · cites this paper as [54]
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AlNuaimi, B. K., Khan, M., & Ajmal, M. M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120808 · Cited by 170
Singh, P. K., & Chan, S. W. (2022) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc8020061 · Cited by 65
Metadata
- Authors
- Manikam, S., Sahibudin, S., & Selamat, H.
- Affiliations
- University of Technology Malaysia (MY)
- Venue
- Advanced Science Letters
- Publisher
- American Scientific Publishers
- Published
- 2017-05-01
- Volume
- 23
- Issue
- 5
- Pages
- 4097-4100
- ISSN
- 1936-6612 (ISSN-L)
- OpenAlex
- W2758827847
- Cited by
- 6
- References
- 0
- Citations by year
- 2026: 1 · 2022: 2 · 2021: 2 · 2019: 1
- FWCI
- 0.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Advanced Science Letters (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- big data analytics, public sector, decision-making, Trans-Pacific Partnership, Malaysia
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