Understanding Governments and Citizens On-line: Learning from E-commerce

Economists studying commercial activity on-line argue that the most significant difference between on-line and off-line commerce is the ability of firms to ‘know who your customers are and treat them differently’ (Vulkan 2006), customizing prices and offerings. This difference comes from the huge amount of data generated by on-line transactions, in terms of historical records, usage statistics and real-time data. Yet in political life, governmental organizations and political parties have been far slower to use such data to improve their service offerings and devise innovative policy interventions, such as differential pricing and personalized information provision. Likewise, political scientists lag behind economists in terms of analyzing new on-line relationships between citizens and political organizations, for example through the use of experiments and modelling of transaction data. This paper investigates ways in which governments and political scientists might also further understanding of governmentcitizen interactions, using the results of laboratory experiments where subjects are incentivized to simulate social choices on-line. The findings might be used by governmental organizations to feed into service improvements and policy innovation processes. Paper presented to the Annual Conference of the American Political Science Association, Chicago, 31st August 2007 (Panel T-23 on Academic Data Mining).

[1]  A. Roth,et al.  Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet , 2002 .

[2]  Max H. Bazerman,et al.  Egocentric Interpretations of Fairness in Asymmetric, Environmental Social Dilemmas: Explaining Harvesting Behavior and the Role of Communication , 1996 .

[3]  Iris Bohnet,et al.  Cooperation, Communication and Communitarianism: An Experimental Approach* , 1996 .

[4]  John Morgan,et al.  An experimental study of price dispersion , 2006, Games Econ. Behav..

[5]  Clare-Marie Karat,et al.  User Attitudes Regarding a User-Adaptive eCommerce Web Site , 2003, User Modeling and User-Adapted Interaction.

[6]  Paul Resnick,et al.  The value of reputation on eBay: A controlled experiment , 2002 .

[7]  Tobias Escher and Helen Margetts and Vaclav Petricek and Cox,et al.  Governing from the Centre? Comparing the Nodality of Digital Governments , 2006 .

[8]  Eszter Hargittai,et al.  SERVING CITIZENS' NEEDS: MINIMIZING ONLINE HURDLES TO ACCESSING GOVERNMENT INFORMATION , 2003 .

[9]  Ingemar J. Cox,et al.  The web structure of e-government - developing a methodology for quantitative evaluation , 2006, WWW '06.

[10]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

[11]  David H. Reiley,et al.  Public versus Secret Reserve Prices in eBay Auctions: Results from a Pokémon Field Experiment , 2007 .

[12]  John Orbell,et al.  A “Cognitive Miser” Theory of Cooperators Advantage , 1991, American Political Science Review.

[13]  Richard T. Vidgen,et al.  Data triangulation and web quality metrics: A case study in e-government , 2006, Inf. Manag..

[14]  E. Hargittai,et al.  The Changing Online Landscape: From Free-for-All to Commercial Gatekeeping: Local Actions/Global Interaction , 2004 .

[15]  John Orbell,et al.  Organizing Groups for Collective Action , 1986, American Political Science Review.

[16]  B. Kahn,et al.  Cross-category effects of induced arousal and pleasure on the Internet shopping experience , 2002 .

[17]  E. Ostrom,et al.  The Drama of the Commons , 2002 .

[18]  E. Ostrom,et al.  Rules, Games, and Common-Pool Resources , 1994 .

[19]  Oliver Günther,et al.  Privacy in e-commerce: stated preferences vs. actual behavior , 2005, CACM.