scholarly journals Synthesising models, theories and frameworks for public policy: Implications for the future

2021 ◽  
pp. 299-310
Author(s):  
Allan McConnell
Keyword(s):  
Public Policy ◽  
Policy Implications ◽  
The Future

Particularity of Recognition and Enforcement of Foreign Arbitral Awards in the Russian Federation: Public Policy

2019 ◽  
Vol 19 (1) ◽  
pp. 307-322
Author(s):  
Václav Pravda
Keyword(s):  
Public Policy ◽  
Russian Federation ◽  
Common Knowledge ◽  
Foreign Companies ◽  
The Past ◽  
The Future ◽  
Recognition And Enforcement ◽  
The Russian Federation ◽  
Broad Interpretation ◽  
Basic Ideas

Summary This article elaborates on the issue of recognition and enforcement of foreign arbitral awards in the Russian Federation. It is common knowledge that foreign companies seeking R&E in Russia suffered damage because of the broad interpretation of Russian public policy in the past decades. However, it is uncertain how the present judicial development appears like and where it will lead in the future. The article specifically considers two basic ideas on the issue at hand: one is slightly critical (Karabelnikov) while the second is rather optimistic in regard with the recent development (Zykov). The main goal is to introduce the issue to the respective readers and to try to inflame a discussion.

scholarly journals Nudge Versus Boost: Agency Dynamics Under Libertarian Paternalism

2019 ◽  
Vol 130 (629) ◽  
pp. 1384-1415 ◽  
Author(s):  
Ralph Hertwig ◽  
Michael D Ryall
Keyword(s):  
Cognitive Biases ◽  
Policy Implications ◽  
Best Interests ◽  
Libertarian Paternalism ◽  
The Future ◽  
Set Up ◽  
The Individual

ABSTRACT Thaler and Sunstein (2008) advance the concept of ‘nudge’ policies—non-regulatory and non-fiscal mechanisms designed to enlist people's cognitive biases or motivational deficits so as to guide their behaviour in a desired direction. A core assumption of this approach is that policymakers make artful use of people's cognitive biases and motivational deficits in ways that serve the ultimate interests of the nudged individual. We analyse a model of dynamic policymaking in which the policymaker's preferences are not always aligned with those of the individual. One novelty of our set-up is that the policymaker has the option to implement a ‘boost’ policy, equipping the individual with the competence to overcome the nudge-enabling bias once and for all. Our main result identifies conditions under which the policymaker chooses not to boost in order to preserve the option of using the nudge (and its associated bias) in the future—even though boosting is in the immediate best interests of both the policymaker and the individual. We extend our analysis to situations in which the policymaker can be removed (e.g., through an election) and in which the policymaker is similarly prone to bias. We conclude with a discussion of some policy implications of these findings.

EXPRESS: Big Data, Marketing Analytics, and Public Policy: Implications for Health Care

2021 ◽  
pp. 074391562199903
Author(s):  
Praveen K. Kopalle ◽  
Donald R. Lehmann
Keyword(s):  
Health Care ◽  
Public Policy ◽  
Big Data ◽  
Policy Implications ◽  
Marketing Analytics

This paper highlights some benefits to and issues with the application of big data and analytics, with emphasis on its role in health care. It considers both its effectiveness/value (i.e., how it can be used) and concerns about its use related to privacy and acceptance by individuals (i.e., how it should be used)

Sign in / Sign up

Export Citation Format

Share Document