Analysis of motivation and perceived risk factors in open data measurement: A conceptual model

Dwi Nur Amalia, Tony Dwi Susanto*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

This paper presents a conceptual model to analyze motivation factors and perceived risk factors of open data measurement in Indonesia local government. The conceptual model is developed from a theoretical background and literature reviews of related research, which describes open data government, indicators of open data measurement, motivation factors and perceived risks factor in open data. In result, there are eight factors that construct in the model. There are four motivation indicators and four perceived risk indicator that influence open data measurement. For each indicator are determined from the literature review and previous research. In the future, the conceptual model is expected to be able to provide insight to Indonesian local governments on open government data through an analysis of the relationship of identified motivational factors and perceived risks factors.

Original languageEnglish
Pages (from-to)308-315
Number of pages8
JournalProcedia Computer Science
Volume161
DOIs
Publication statusPublished - 2019
Event5th Information Systems International Conference, ISICO 2019 - Surabaya, Indonesia
Duration: 23 Jul 201924 Jul 2019

Keywords

  • Conceptual model
  • Motivation
  • Open data
  • Open data measurement
  • Perceived eisk

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