scholarly journals Shapley values for assessing research production and impact of schools and scholars

2011 ◽  
Vol 90 (3) ◽  
pp. 763-780 ◽  
Author(s):  
Richard S. J. Tol
Keyword(s):  
Research Production ◽  
Shapley Values

Accounting research production and evaluation: The view of the professionals

2017 ◽  
pp. 75-80
Author(s):  
Orazio Vagnozzi
Keyword(s):  
The Other ◽  
Methodological Issues ◽  
Accounting Research ◽  
Research Production ◽  
Accounting Practice ◽  
Mutual Knowledge ◽  
The One

The existence of a gap between accounting research and accounting practice has been extensively described in literature. In order to be able to publish a research in a high-ranked accounting journal, it seems that methodological issues are more important than those related to the relevance of the topics covered. To improve research and accounting practice and to avoid the risk of accounting research becoming selfreferential, every effort should be made to bridge the current gap between research and accounting practice. To this end, the development of mutual knowledge of the agenda of researchers and practitioners on the one hand, and participation in joint projects on the other, could represent possible future solutions to be pursued.

Reconsideration of the Research Trajectory on the Carceral State

2020 ◽  
Vol 1 (2) ◽  
pp. 192-207
Author(s):  
Juliette Barbera
Keyword(s):  
Political Science ◽  
Political Development ◽  
American Political Development ◽  
The Political ◽  
Carceral State ◽  
Research Framework ◽  
Research Production ◽  
Fields Of Study ◽  
Theoretical Perspectives ◽  
And Control

For decades, both incarceration and research on the topic have proliferated. Disciplines within the Western sciences have studied the topic of incarceration through their respective lenses. Decades of data reflect trends and consequences of the carceral state, and based on that data the various disciplines have put forth arguments as to how the trends and consequences are of relevance to their respective fields of study. The research trajectory of incarceration research, however, overlooks the assumptions behind punishment and control and their institutionalization that produce and maintain the carceral state and its study. This omission of assumptions facilitates a focus on outcomes that serve to reinforce Western perspectives, and it contributes to the overall stagnation in the incarceration research produced in Western disciplines. An assessment of the study of the carceral state within the mainstream of American Political Development in the political science discipline provides an example of how the research framework contributes to the overall stagnation, even though the framework of the subfield allows for an historical institutionalization perspective. The theoretical perspectives of Cedric J. Robinson reveal the limits of Western lenses to critically assess the state. The alternative framework he provides to challenge the limits imposed on research production by Western perspectives applies to the argument presented here concerning the limitations that hamper the study of the carceral state.

Does Algorithmic Trading Affect Analyst Research Production?

2020 ◽  
Author(s):  
Pawel Bilinski ◽  
Irene Karamanou ◽  
Anastasia Kopita ◽  
Marios A. Panayides
Keyword(s):  
Algorithmic Trading ◽  
Research Production

Does High Frequency Trading Affect Analyst Research Production?

2020 ◽  
Author(s):  
Pawel Bilinski ◽  
Irene Karamanou ◽  
Anastasia Kopita ◽  
Marios A. Panayides
Keyword(s):  
High Frequency ◽  
High Frequency Trading ◽  
Research Production

A novel q-rung orthopair fuzzy TODIM approach for multi-criteria group decision making based on Shapley value and relative entropy

2021 ◽  
Vol 40 (1) ◽  
pp. 235-250
Author(s):  
Liuxin Chen ◽  
Nanfang Luo ◽  
Xiaoling Gou
Keyword(s):  
Decision Making ◽  
Relative Entropy ◽  
Group Decision Making ◽  
Shapley Value ◽  
Group Decision ◽  
Similarity Measures ◽  
Entropy Measure ◽  
Shapley Values ◽  
Interactive Relationship ◽  
The Difference

In the real multi-criteria group decision making (MCGDM) problems, there will be an interactive relationship among different decision makers (DMs). To identify the overall influence, we define the Shapley value as the DM’s weight. Entropy is a measure which makes it better than similarity measures to recognize a group decision making problem. Since we propose a relative entropy to measure the difference between two systems, which improves the accuracy of the distance measure.In this paper, a MCGDM approach named as TODIM is presented under q-rung orthopair fuzzy information.The proposed TODIM approach is developed for correlative MCGDM problems, in which the weights of the DMs are calculated in terms of Shapley values and the dominance matrices are evaluated based on relative entropy measure with q-rung orthopair fuzzy information.Furthermore, the efficacy of the proposed Gq-ROFWA operator and the novel TODIM is demonstrated through a selection problem of modern enterprises risk investment. A comparative analysis with existing methods is presented to validate the efficiency of the approach.

Research production in the arts and humanities

1996 ◽  
Vol 37 (3) ◽  
pp. 417-432 ◽  
Author(s):  
S. Hemlin ◽  
M. Gustafsson
Keyword(s):  
Research Production ◽  
Arts And Humanities ◽  
The Arts

Shapley Ranking of Wines

2012 ◽  
Vol 7 (2) ◽  
pp. 169-180 ◽  
Author(s):  
Victor Ginsburgh ◽  
Israël Zang
Keyword(s):  
Game Theory ◽  
Unique Solution ◽  
Cooperative Game ◽  
Shapley Value ◽  
Rank Order ◽  
Jel Classification ◽  
Ranking Method ◽  
The Shapley Value ◽  
Shapley Values

AbstractWe suggest a new game-theory-based ranking method for wines, in which the Shapley Value of each wine is computed, and wines are ranked according to their Shapley Values. Judges should find it simpler to use, since they are not required to rank order or grade all the wines, but merely to choose the group of those that they find meritorious. Our ranking method is based on the set of reasonable axioms that determine the Shapley Value as the unique solution of an underlying cooperative game. Unlike in the general case, where computing the Shapley Value could be complex, here the Shapley Value and hence the final ranking, are straightforward to compute. (JEL Classification: C71, D71, D78)

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