Look before you leap
Barriers to big data use in municipalities
Bibliographic Data
| ID | 6149092 |
|---|---|
| Authors | Rebecca Moody (0000-0001-9114-2108, Erasmus University Rotterdam, corresponding author), Victor Plat (Municipality of The Hague, 2500 DJ The Hague, The Netherlands), Victor Bekkers (Erasmus University Rotterdam) |
| Year | 2019 |
| Volume | 24 |
| Issue | 3 |
| Pages | 271-288 |
| Publication date | 2019-08-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Polity (JOURNAL) |
| Journal identifiers | ISSN: 1875-8754 • E-ISSN: 1570-1255 |
| Publisher | IOS Press (PUBLISHER • NL) |
| DOI | 10.3233/ip-180090 |
| OpenAlex | W2969724566 |
| Language | EN |
| Citations received | 4 |
| References cited | 26 |
In this article we confront existing literature on barriers in big data implementation for policy making in municipal governments. We have conducted four cases in a Dutch municipality in which big data is implemented for policy solutions. This has led us to develop a new, comprehensive model which explains which barriers exist while making implementing big data. Dimensions such as the technological, the legal, the informational, the organizational, the ethical and the government-citizen relation dimension will be included in the study. It will be argued that ‘hard’ barriers, such as technological and legal prove to be of far lesser influence than literature suggests. On the other hand, the ‘soft’ barriers such as alignment issues and ethical considerations going further than legal aspects prove to be far more determining barriers for the policy making process in implementing big data solutions in municipal governments
Big data · Business · Data mining · Database · Dimension (graph theory · Government (linguistics · Policy making · Political science · Process (computing · Public relations · Relation (database · Big Data and Business Intelligence · Computer Science · Data Quality and Management · E-Government and Public Services · Public Administration
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0,57 |
| Citation span | 2019 - 2025 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |