Emerging Topics in Electronic Government
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ItemProviding Public Value through Data Sharing: Understanding Critical Factors of Food Traceability for Local Farms and Institutional Buyers( 2018-01-03)Many of the datasets that could contribute to solutions for current public problems are proprietary and reside outside of government agencies. Accelerating data sharing and collaboration between those who hold valuable data and those able to deliver solutions is key to generating public value from private data. There is still a limited body of literature, however, that addresses data sharing and collaboration between private and public organizations. Using a case study of food traceability from local farms to institutions, this paper contributes to this emerging field by identifying challenges and incentives in data sharing among different types of organizations. In particular, our goal is to study how small farms and institutional buyers can be incentivized to share their data in a way that contributes to food safety, public health, and other societal goals. Our findings demonstrate that initiatives which can show the benefits of having a whole-chain food traceability system, have clear policies and regulations, and opportunities for participation in training activities are key incentives.
ItemFactors Promoting the Collection of Performance Measurement: Evidence from US Local Governments( 2018-01-03)Performance measurement has gained significant importance around the world. Many governments are adopting performance measurement as a part of reform efforts. Despite the widespread practitioner attention, academic studies are inconclusive about the impact of performance measurement in the public sector. Moreover, while studies have examined what factors influence the adoption of performance measures and its impact, they have paid relatively less attention to the use of different types of performance measures. To fill this gap, this study examines: (1) what types of performance measures are collected by US local governments and; (2) how organizational, technical, and external factors influence the collection of performance measurement. Leveraging survey data, we conduct cluster analysis and qualitative comparative analysis (QCA) to study factors that impact the collection of performance measures. The findings of QCA highlight that no single condition dominates the collection of performance measurement, rather different combinations of organizational and external factors influence the outcome. The paper concludes by discussing the implications for local policymakers and managers.
ItemCan we Learn from Down Under How to Rise Up in E-Government? A Comparative Analysis of the Public Sector Competences in the German and Australian Higher Education Systems( 2018-01-03)Australia has been voted world’s second in the last two United Nations e-government surveys 2014 and 2016, despite the acknowledged difficulties that arise in terms of implementation because of its federal structure. Germany, having a similar federal structure, in contrast, only ranks 15th. The study at hand aims at eliciting, if this development can be ascribed to the higher public administration and e-government education landscape. By means of a content analysis, we examined 126 higher education study programmes with a link to the public sector in Australia and compared them to a similar study in Germany from the year 2015. Results show that there are indeed differences with respect to the delivered contents and the respective competences in Australia that might contribute to the different e-government development in the two countries: Higher levels of socio-technical courses and a more contextualised programme delivery in general are two of the main findings.
ItemThe Salience and Urgency of Enterprise Data Management In the Public Sector( 2018-01-03)In this emerging topics paper, we argue that enterprise data management is a key enabler for new and innovative uses of data. Given widespread recognition of the public value potential of these new uses of data, enterprise data management capability is increasingly salient and recognized as urgent. We further argue that creating capability for enterprise data management is poorly understood. However, since enterprise data management is a future practitioner imperative, new research from the digital government community addressing the challenges to creating such capability is required. We illustrate the salience and urgency of enterprise data management through three vignettes that highlight the potential of such efforts to reorganize the public sector along new data oriented lines. A focus on the role of governance and the chief data officer as key enablers to creating public value from data highlight the need for research in these areas.