Evaluating the critical success factors of data intelligence implementation in the public sector using analytical hierarchy process

Mohammad I. Merhi

Technological Forecasting and Social Change, 2021, vol. 173, issue C

Abstract: This study aims to fill a gap in the literature by identifying, defining, and evaluating the critical success factors that impact the implementation of data intelligence in the public sector. Fourteen factors were identified, and then divided into three categories: organization, process, and technology. We used the analytical hierarchy process, a quantitative method of decision-making, to evaluate the importance of the factors presented in the study using data collected from nine experts. The results showed that technology, as a category, is the most important. The analysis also indicated that project management, information systems & data, and data quality are the most important factors among all fourteen critical success factors. We discuss the implications of the analysis for practitioners and researchers in the paper.

Keywords: Data intelligence; Systems implementation; Data analytics; Success factors; Public sector; AHP (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521006132

DOI: 10.1016/j.techfore.2021.121180

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