Name
Abstract | ||
|---|---|---|
Purpose To create the expected value and benefits through open data, appropriate provision and usage of data are required simultaneously. However, the level of provision and usage of open data differs from country to country. Moreover, previous research on open data has only focused on either open data provision or usage. To fill the research gap, the purpose of this paper is threefold: first, to understand the current status of the provision and usage of open data; second, to identify patterns in the provision and usage of open data; and third, to provide appropriate future directions and guidelines for the transformation paths of each pattern. Design/methodology/approach The authors analyzed the data collected from open data portals of 13 countries that provide information on the provision and usage of open data together. Findings The authors identified four patterns of the provision and usage of open data, namely, availability-driven, government-driven, market-driven and interaction-driven patterns. Furthermore, three strategic paths of transformation reach a high level of open data provision and usage, namely, data provision-focused, data usage-focused and balanced transformation paths. Originality/value This study provides a foundation that enables researchers to build a holistic theory that can integrate fragmented and incomplete knowledge of open data and usage, particularly in the context of government. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1108/IMDS-04-2019-0218 | INDUSTRIAL MANAGEMENT & DATA SYSTEMS |
Keywords | Field | DocType |
Open data, Open government, Open data provision, Open data usage, Patterns of provision and usage of open data, Strategic transformation path | Open data,Incomplete knowledge,Open government,Knowledge management,Engineering,Marketing,Government | Journal |
Volume | Issue | ISSN |
119 | 8 | 0263-5577 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juyeon Ham | 1 | 5 | 2.78 |
| Yunmo Koo | 2 | 0 | 0.34 |
| Jae-Nam Lee | 3 | 2340 | 108.54 |