Rules, Norms, and Individual Preferences for Action: An Institutional Framework to Understand the Dynamics of e-Government Evolution

Author(s):  
Ignacio J. Martinez-Moyano ◽  
J. Ramon Gil-Garcia
2010 ◽  
pp. 108-117 ◽  
Author(s):  
I. Smotritskaya ◽  
S. Chernykh

The article analyzes the conceptual framework of public procurement system as an integral part of public regulation to ensure effective management of public resources. The authors consider the problems of transition to a new "quality" of the procurement system, increasing its innovative activity. They put forward proposals for institutional framework and mechanisms of regulating procurement, meeting the needs in innovative upgrading and modernization of the Russian economy.


Paragraph ◽  
2006 ◽  
Vol 29 (3) ◽  
pp. 77-94 ◽  
Author(s):  
Adam Trexler

While literary criticism is often seen as an unself-reflective forerunner to literary theory, this article argues that T.S. Eliot's theory of critical practice was a philosophically informed methodology of reading designed to create a disciplinary and institutional framework. To reconstruct this theory, it enriches theoretical methodology with intellectual and institutional history. Specifically, the article argues that Eliot's early critical theory depended on the paradigms of anthropology and occultism, developed during his philosophical investigation of anthropology and Leibniz. From this investigation, Eliot created an occult project that used spiritual monads as facts to progress toward the Absolute. The article goes on to argue that Eliot's methodology of reading was shaped by anthropology's and occultism's paradigms of non-academic, non-specialist reading societies that sought a super-historic position in human history through individual progress. The reconstruction of Eliot's intellectual and institutional framework for reading reveals a historical moment with sharp differences and surprising similarities to the present.


10.29007/v68w ◽  
2018 ◽  
Author(s):  
Ying Zhu ◽  
Mirek Truszczynski

We study the problem of learning the importance of preferences in preference profiles in two important cases: when individual preferences are aggregated by the ranked Pareto rule, and when they are aggregated by positional scoring rules. For the ranked Pareto rule, we provide a polynomial-time algorithm that finds a ranking of preferences such that the ranked profile correctly decides all the examples, whenever such a ranking exists. We also show that the problem to learn a ranking maximizing the number of correctly decided examples (also under the ranked Pareto rule) is NP-hard. We obtain similar results for the case of weighted profiles when positional scoring rules are used for aggregation.


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