A Review on Key Factors of Data Integration Implementation in Public Sector

Abstract

Data integration supports the implementation of digital government by providing the integrated data for information sharing purposes. A successful implementation of data integration in the public sector would enhance the service delivery and satisfied the users by giving them an integrated and trusted information. This paper is prescribed to review the existing literature on the factors that influence the data integration implementation in the public sector. The systematic review process conducted with the guidance of Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) through three selected databases; Scopus, ScienceDirect and IEEE Xplore resulted in 15 shortlisted articles. Five main dimensions were identified after the final review process which are data, environmental, organizational, policy and technology. These five dimensions include 28 key factors of data integration implementation in public sector. Several recommendations have been offered related in conducting profound research to clear the boundaries between each dimension and to categorize the dimensions and factors more efficiently. Expert review and empirical data are also suggested to be taking into consideration during the future research.