Incentive Compatibility and Strategy-Proofness of Mechanisms of Organizational Behavior Control: Retrospective, State of the Art, and Prospects of Theoretical Research

2021 ◽  
Vol 82 (7) ◽  
pp. 1119-1143
Author(s):  
V. N. Burkov ◽  
A. K. Enaleev ◽  
N. A. Korgin
Keyword(s):  
Organizational Behavior ◽  
State Of The Art ◽  
Incentive Compatibility ◽  
Theoretical Research ◽  
Behavior Control ◽  
Strategy Proofness

scholarly journals Elastic Properties of Porous Media Containing Gas Hydrates

2021 ◽  
pp. 82-89
Author(s):  
А.А. Губайдуллин ◽  
О.Ю. Болдырева ◽  
Д.Н. Дудко
Keyword(s):  
Porous Media ◽  
Elastic Properties ◽  
Laboratory Experiments ◽  
State Of The Art ◽  
Simulation Models ◽  
Theoretical Research ◽  
Porous Space ◽  
Wave Velocities ◽  
Hydrate Saturation ◽  
Experimental And Theoretical Studies

Проведен анализ современного состояния экспериментальных и теоретических исследований упругих свойств гидратосодержащих пористых сред. Сделан вывод о том, что во всех экспериментах установлена связь скоростей упругих волн с содержанием гидрата в поровом пространстве, а именно, наблюдается рост скоростей с увеличением гидратонасыщенности. В области теоретических исследований созданы математические модели упругих модулей гидратосодержащих пористых сред, позволяющие качественно и количественно описать результаты лабораторных опытов. The state-of-the-art experimental and theoretical studies of the elastic properties of porous media containing gas hydrate was analyzed. It is concluded that all the experiments identified a relationship between the elastic wave velocities and the hydrate content in the porous space: the velocities increase with higher hydrate saturation. The theoretical research produced simulation models for estimating the modulus of elasticity of hydrate-containing porous media to qualitatively and quantitatively describe the results of laboratory experiments.

Educator and dairy farmer: the psychological empowerment of entrepreneur V.G. Jayakrishnan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sridevi Shivarajan
Keyword(s):  
Transformational Leadership ◽  
Intrinsic Motivation ◽  
Organizational Behavior ◽  
Theoretical Basis ◽  
Psychological Empowerment ◽  
State Of The Art ◽  
Dairy Farm ◽  
Empowerment Theory ◽  
Content Type ◽  
Set Up

Theoretical basis The psychological empowerment theory of intrinsic motivation is the primary theoretical basis for the case. Other theories discussed include personality theories and transformational leadership theory. Research methodology This is a field-researched case, based on face to face interviews with V.G. Jayakrishnan. The author also visited Jayakrishnan’s institution and attended an event there. The author also relied upon archival data in the form of newspaper reports: both print and video. The case is based on events before July 31, 2017. Case overview/synopsis This case examines how entrepreneur V.G. Jayakrishnan, between 1995–2017, set up two successful, yet distinct businesses, namely, ICD (Institute for Career Development), a leading banking test prepping center in Kerala, India and JK Farms, a state-of-the-art dairy farm. Jayakrishnan’s vision and ability to think far ahead of his competition led to ICD becoming one of the most successful banking test prep centers in Kerala, India. Similarly, Jayakrishnan’s vision of scientific dairy farming allowed him to set up the state of the art JK Farms. The case allows students to examine the concepts of intrinsic motivation and transformational leadership. Complexity academic level The case can be used both at the graduate and undergraduate levels. At the graduate level, it can be used at the beginning of any leadership class to foster discussion about intrinsic motivation and transformational leadership. At the undergraduate level, it would be better positioned at the middle of the organizational behavior course after the students have discussed the chapters on motivation, leadership and personality in principal textbooks (Colquitt, LePine and Wesson, McGraw Hill, 2018).

scholarly journals Emerging 2D Materials and Their Van Der Waals Heterostructures

Nanomaterials ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 579 ◽  
Author(s):  
Antonio Di Bartolomeo
Keyword(s):  
Water Splitting ◽  
High Performance ◽  
State Of The Art ◽  
2D Materials ◽  
Van Der Waals ◽  
Functional Materials ◽  
Building Blocks ◽  
Theoretical Research ◽  
Two Dimensional ◽  
Tremendous Amount

Two-dimensional (2D) materials and their van der Waals heterojunctions offer the opportunity to combine layers with different properties as the building blocks to engineer new functional materials for high-performance devices, sensors, and water-splitting photocatalysts. A tremendous amount of work has been done thus far to isolate or synthesize new 2D materials as well as to form new heterostructures and investigate their chemical and physical properties. This article collection covers state-of-the-art experimental, numerical, and theoretical research on 2D materials and on their van der Waals heterojunctions for applications in electronics, optoelectronics, and energy generation.

Guest Editorial of the Special Issue on Whole-Body Control for Robots in the Real World

2016 ◽  
Vol 13 (01) ◽  
pp. 1602001
Author(s):  
Federico L. Moro ◽  
Michael Gienger ◽  
Ambarish Goswami ◽  
Oussama Khatib ◽  
Eiichi Yoshida
Keyword(s):  
Real World ◽  
Guest Editorial ◽  
State Of The Art ◽  
Humanoid Robots ◽  
Theoretical Research ◽  
Whole Body ◽  
Research Projects ◽  
Special Issue ◽  
Real World Applications ◽  
New Research

Research in whole-body control (WBC) aims to contribute to provide robots with those capabilities that are necessary to move and perform in real world scenarios. Until recent years, limitations on hardware relegated WBC to almost purely theoretical research. Recently, a growing number of experimental platforms have become available (in particular, torque-controlled humanoids). This new opportunity has triggered the deployment on real robots of the theoretical outcomes of research in the field. This is backed up by a number of new research projects and initiatives addressing issues in this domain, including the Darpa robotic challenge (DRC). The goal of this special issue is to provide a clear representation of what is the state-of-the-art in WBC, and to help identifying what steps still need to be taken to have humanoid robots moving out of research laboratories to real world applications.

The Sample Complexity of Up-to-ε Multi-dimensional Revenue Maximization

2021 ◽  
Vol 68 (3) ◽  
pp. 1-28
Author(s):  
Yannai A. Gonczarowski ◽  
S. Matthew Weinberg
Keyword(s):  
Computational Efficiency ◽  
State Of The Art ◽  
Incentive Compatibility ◽  
Single Parameter ◽  
Revenue Maximization ◽  
Sample Complexity ◽  
Nonparametric Approach ◽  
Incentive Compatible ◽  
The Standard Model ◽  
Parameter Case

We consider the sample complexity of revenue maximization for multiple bidders in unrestricted multi-dimensional settings. Specifically, we study the standard model of additive bidders whose values for heterogeneous items are drawn independently. For any such instance and any , we show that it is possible to learn an -Bayesian Incentive Compatible auction whose expected revenue is within of the optimal -BIC auction from only polynomially many samples. Our fully nonparametric approach is based on ideas that hold quite generally and completely sidestep the difficulty of characterizing optimal (or near-optimal) auctions for these settings. Therefore, our results easily extend to general multi-dimensional settings, including valuations that are not necessarily even subadditive , and arbitrary allocation constraints. For the cases of a single bidder and many goods, or a single parameter (good) and many bidders, our analysis yields exact incentive compatibility (and for the latter also computational efficiency). Although the single-parameter case is already well understood, our corollary for this case extends slightly the state of the art.

An Incentive Compatible Mechanism for Replica Placement in Peer-Assisted Content Distribution

2020 ◽  
Vol 12 (1) ◽  
pp. 47-67 ◽  
Author(s):  
Prabir Bhattacharya ◽  
Minzhe Guo
Keyword(s):  
Design Theory ◽  
Large Scale ◽  
State Of The Art ◽  
Incentive Compatibility ◽  
Content Delivery ◽  
Replica Placement ◽  
Key Technology ◽  
Incentive Compatible ◽  
Content Delivery Networks ◽  
Delivery Networks

Content delivery is a key technology on the Internet to achieve large scale, low-latency, reliable, and intelligent data delivery. Replica placement (RP) is a key machinery in content delivery systems to achieve efficient and effective content delivery. This work proposes a novel decentralized algorithm for the replica placement in peer-assisted content delivery networks with simultaneous considerations for peer incentives. By applying techniques from the algorithmic mechanism design theory, the authors show the incentive compatibility of the proposed algorithm. Experiments were conducted to validate the properties of the proposed method and comparisons were made with the state-of-the-art RP algorithms.

scholarly journals Coarse-to-Fine Lifted MAP Inference in Computer Vision

2017 ◽  
Author(s):  
Haroun Habeeb ◽  
Ankit Anand ◽  
Mausam ◽  
Parag Singla
Keyword(s):  
Computer Vision ◽  
Graphical Models ◽  
State Of The Art ◽  
Theoretical Research ◽  
Solution Quality ◽  
Map Labeling ◽  
Lifted Inference ◽  
Trade Offs ◽  
Coarse To Fine ◽  
Unary Potential

There is a vast body of theoretical research on lifted inference in probabilistic graphical models (PGMs). However, few demonstrations exist where lifting is applied in conjunction with top of the line applied algorithms. We pursue the applicability of lifted inference for computer vision (CV), with the insight that a globally optimal (MAP) labeling will likely have the same label for two symmetric pixels. The success of our approach lies in efficiently handling a distinct unary potential on every node (pixel), typical of CV applications. This allows us to lift the large class of algorithms that model a CV problem via PGM inference. We propose a generic template for coarse-to-fine (C2F) inference in CV, which progressively refines an initial coarsely lifted PGM for varying quality-time trade-offs. We demonstrate the performance of C2F inference by developing lifted versions of two near state-of-the-art CV algorithms for stereo vision and interactive image segmentation. We find that, against flat algorithms, the lifted versions have a much superior anytime performance, without any loss in final solution quality.

scholarly journals Aspects of Understanding Government’s Public Institutions Behavior Necessary to Design Reforms

2015 ◽  
Vol 2 (1) ◽  
pp. 81-92
Author(s):  
Stefan Imre
Keyword(s):  
Organizational Behavior ◽  
Public Administration ◽  
Public Management ◽  
New Public Management ◽  
Public Institutions ◽  
Public Institution ◽  
Theoretical Research ◽  
The Public ◽  
Main Determinants ◽  
Conceptual Transfer

Abstract This paper presents some aspects found by the author in his research in field of government public institutions behavior. The author started some years ago to research the modality how should prepare a conceptual transfer of management from the companies practice to government public institutions and to implement them for enhance quality of their results. The main concept of the theoretical research is based on some well-known theoretical remarks. One of this shows that the public institutions are similar entities as companies. Eventually they have higher complexity. Following this logic, the public institutions should be led by management instead public administration. Considering public management and the new public management only some attempts without solving the main problems, the author consider that implementing procedural efficiency oriented management to the government public institution is equivalent with an important changes induced by outside. Preparing the conceptual transfer, for the first period of research was necessary to understand government’s public institution behavior. For this purpose the relational frame was the business organization. In this respect the research compares organizational behavior of companies and public institutions and their reaction to important changes. For understand similarities and differences it was necessary to discover theoretical standpoints regarding companies reaction to important changes induced by outside and main determinants from the organizational sciences literature. In the similar way was studied the public institution reaction and determinants of this to important changes, theoretically through documentary analyses of the literature of public administration. The benchmarking between the reactions of the mentioned two entities discovered different behaviors and the main determinants of the reactions of them to a new form of leading system by management, including modern instruments as knowledge management. The paper conclusions sustain that implementation of modern management systems to government’s public institutions should deal with a different behavior used to know at companies. In this respect, the paper highlights different aspects between companies and public institutions behavior admitting similarities on organizational structure and internal procedures.

THE WAYS OF CONCEPTUALIZATION OF «EXPRESSION OF OPINION» BY WORKERS OF ORGANIZATION IN RESEARCH OF INTERNATIONAL AUTHORS

2020 ◽  
pp. 64-69
Author(s):  
O.N. Torgovanova ◽  
◽  
V.V. Sizova ◽  
Keyword(s):  
Organizational Behavior ◽  
Labor Relations ◽  
Theoretical Research

The article reveals the modern theoretical ideas of international authors about the expression of opinion by employees of the organization. Two conceptual approaches to theoretical research are distinguished and analyzed: expression of an employees’ opinion through in the context of labor relations and within the framework of organizational behavior.

scholarly journals EDITORIAL

Fractals ◽  
2017 ◽  
Vol 25 (04) ◽  
pp. 1702001
Author(s):  
SHUAI LIU
Keyword(s):  
Mathematical Analysis ◽  
State Of The Art ◽  
The State ◽  
Thematic Issue ◽  
Theoretical Research ◽  
Practical Application ◽  
Engineering Applications ◽  
Nonlinear Odes ◽  
Variable Parameters ◽  
Research Domains

Fractal represents a special feature of nature and functional objects. However, fractal based computing can be applied to many research domains because of its fixed property resisted deformation, variable parameters and many unpredictable changes. Theoretical research and practical application of fractal based computing have been hotspots for 30 years and will be continued. There are many pending issues awaiting solutions in this domain, thus this thematic issue containing 14 papers publishes the state-of-the-art developments in theorem and application of fractal based computing, including mathematical analysis and novel engineering applications. The topics contain fractal and multifractal features in application and solution of nonlinear odes and equation.

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