Sufficiency and necessity of big data capabilities for decision performance in the public sector

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dc.contributor.authorTalib, Sarah
dc.contributor.authorPapastathopoulo , Avraam
dc.contributor.authorAhmad,Syed Zamberi
dc.date.accessioned2024-02-22T12:31:41Z
dc.date.available2024-02-22T12:31:41Z
dc.date.issued2024
dc.descriptionDating back to the first industrial revolution, significant technological innovations and development have successfully transformed various decades-old tasks and processes, reaching the limits of the human capacity for improvement (Dwivedi et al., 2021). The emergence of data-centric strategies resulting from the widespread technologies of the fourth industrial revolution has brought paradigm shifts in traditional business models and is paramount in designing and planning smart cities (Schwab, 2016; Bokolo, 2023).
dc.description.abstractThis study aims to examine the necessity effects of big data analytics capabilities (BDAC) on decision-making performance (DMP), particularly in the public sector. The authors used the combined methods of partial least square structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to test the hypothesized relationships. The findings show that the presence of all three BDAC (infrastructure, management and personnel) is significant and necessary to achieve higher levels of DMP. Specifically, the results revealed big data management capabilities to be of higher necessity to achieve the highest possible DMP. The findings provide public-sector practitioners with insights to support the development of their BDAC. Time-sensitive domains such as the public sector require insight and quality decision-making to create public value and achieve competitive advantage. This study examined BDAC in light of the combined methods of (PLS-SEM) and NCA to test the hypothesized relationships in the public sector context. Keywords United Arab Emirates, Public sector organizations, Decision performance, Necessary condition analysis, Big data capabilities
dc.identifier.citationTalib, S., Papastathopoulo, A., & Ahmad, S. Z. (2024). Sufficiency and necessity of big data capabilities for decision performance in the public sector. Digital Policy, Regulation and Governance, 26(1), 18-37.‏
dc.identifier.doihttps://doi.org/10.1108/DPRG-05-2023-0057
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/1267
dc.language.isoen
dc.publisherEmerald
dc.titleSufficiency and necessity of big data capabilities for decision performance in the public sector
dc.typeArticle

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