Creating value using public big data: comparison of driving factors from the provider's perspective

Ji Yeon Cho, Bong Gyou Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: The revitalization of big data has gained attention in the public sector. However, such open government data (OGD) is facing major challenges with respect to data quality and limited use. To solve this problem, this study analyzes the factors driving the use of OGD from the perspective of data providers in the public sector. Design/methodology/approach: Using the analytic hierarchy process and analytic network process methodologies, the importance of the factors driving the use of big data in the public sector was ranked. In addition, the different characteristics of tasks among the departments in a public agency were compared based on expert interviews. Findings: The factors driving OGD use are not only political environment or the technological environment. The importance of the institutional culture within the organization increases with the motivation of the data provider. The priorities of the OGD factors also depend on the objectives of the department involved. Originality/value: This study provides implications for improving the publication of open data by analyzing the priorities of the factors driving its use from the perspective of big data providers. It focuses on different perceptions of the factors valued by public officials in charge of data in institutions. The results suggest the need to explore officials' perceptions of value creation in big data fields.

Original languageEnglish
JournalInformation Technology and People
DOIs
Publication statusAccepted/In press - 2020

Bibliographical note

Funding Information:
This work was supported by the Yonsei University Research Grant of 2020.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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