Building Theoretical Foundations for Electronic Governance Benchmarking

Part 1: FoundationsInternational audienceThe success of the electronic governance (EGOV) benchmarking has been limited so far. Lacking a theory to integrate existing conceptualizations has made the acquisition and sharing of knowledge produced by different benchmarking exercises difficult. In order to address this problem, this paper: 1) explains the nature of the EGOV benchmarking activity though a wellestablished theoretical framework - Activity Theory, 2) applies the framework to carry out a mapping between a number of existing EGOV benchmarking conceptualizations, 3) develops an unified conceptualization based on these mappings and 4) validates the resulting model though a real-life national EGOV strategy development project. The use of the Activity Theory in the paper has enabled defining and relating initial dimensions of the EGOV benchmarking activity, and mapping the dimensions present in existing conceptualizations. This not only created a unifying theoretical basis for conceptualizing the EGOV benchmarking activity but allowed learning from and integrating existing conceptualizations. The work impacts on the EGOV benchmarking practice by enabling a logical design of the activity, and contextually correct understanding of existing EGOV benchmarking results with respect to their intended usage

Building Theoretical Foundations for Electronic Governance Benchmarking

The success of the electronic governance (EGOV) benchmarking has been limited so far. Lacking a theory to integrate existing conceptualizations has made the acquisition and sharing of knowledge produced by different benchmarking exercises difficult. In order to address this problem, this paper: 1) explains the nature of the EGOV benchmarking activity though a well-established theoretical framework - Activity Theory, 2) applies the framework to carry out a mapping between a number of existing EGOV benchmarking conceptualizations, 3) develops an unified conceptualization based on these mappings and 4) validates the resulting model though a real-life national EGOV strategy development project. The use of the Activity Theory in the paper has enabled defining and relating initial dimensions of the EGOV benchmarking activity, and mapping the dimensions present in existing conceptualizations. This not only created a unifying theoretical basis for conceptualizing the EGOV benchmarking activity but allowed learning from and integrating existing conceptualizations. The work impacts on the EGOV benchmarking practice by enabling a logical design of the activity, and contextually correct understanding of existing EGOV benchmarking results with respect to their intended usage

The open anchoring quest dataset:anchored estimates from 96 studies on anchoring effects

People’s estimates are biased toward previously considered numbers (anchoring). We have aggregated all available data from anchoring studies that included at least two anchors into one large dataset. Data were standardized to comprise one estimate per row, coded according to a wide range of variables, and are available for download and analyses online (https://metaanalyses.shinyapps.io/OpAQ/). Because the dataset includes both original and meta-data it allows for fine-grained analyses (e.g., correlations of estimates for different tasks) but also for meta-analyses (e.g., effect sizes for anchoring effects)