Implementation of digital‐era governance: The case of open data in U.S. cities
By: Young, Matthew M
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Material type: 
BookPublisher: Public Administration Review Description: 80(2), Mar-Apr, 2020: p.305-315.
In:
Public Administration ReviewSummary: This article examines the institutional factors that influence the implementation of open data platforms in U.S. cities. Public management scholarship has argued that governance can be transformed by new information technologies that improve transparency and engagement, reduce administrative costs, and support performance management systems. However, this argument ignores key risks for administrators, as well as institutional and political obstacles that can thwart implementation. This article uses hierarchical negative binomial regression to analyze the organizational and institutional features influencing implementation in more than 1,500 departments across 60 cities. Department type and administrative capacity are strongly associated with the number of open data files available, while city‐level institutional characteristics and administrative capacity are not significant factors. Municipal demographics are also identified as a factor, suggesting a potential demand‐side influence from wealthy and technologically proficient residents. – Reproduced
| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
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Articles
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Indian Institute of Public Administration | 80(2), Mar-Apr, 2020: p.305-315 | Available | AR124255 |
This article examines the institutional factors that influence the implementation of open data platforms in U.S. cities. Public management scholarship has argued that governance can be transformed by new information technologies that improve transparency and engagement, reduce administrative costs, and support performance management systems. However, this argument ignores key risks for administrators, as well as institutional and political obstacles that can thwart implementation. This article uses hierarchical negative binomial regression to analyze the organizational and institutional features influencing implementation in more than 1,500 departments across 60 cities. Department type and administrative capacity are strongly associated with the number of open data files available, while city‐level institutional characteristics and administrative capacity are not significant factors. Municipal demographics are also identified as a factor, suggesting a potential demand‐side influence from wealthy and technologically proficient residents. – Reproduced
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