Decision-Making Elements for the Design of Emerging Multi-Dimensional Auctions

Author(s):  
Charis A. Marentakis ◽  
Dimitrios M. Emiris

Auctions have known considerable and continuous growth during the past decades due to their logic and efficiency in price formation when the value of goods traded is not known or varies. Although earlier research has been based mainly on Microeconomics and Games Theory, recent advances extended relevant research in Operational Research and Information Technology. Today, auctions and their applications form a challenging topic not only for economists but for operational researchers, marketers, logisticians and management engineers. This paper examines contemporary emerging auction formats, including auctions in which bids consist of many other parameters. The study of these emerging auction formats proceeds through the analysis of critical auction parameters that directly affect the decision-making process and the problems that auction participants face. This paper presents, with a presentation in graphical form, the decision framework for the majority of approaches presented in contemporary literature to highlight the association between decision elements and auction design.

Author(s):  
Charis A. Marentakis ◽  
Dimitrios M. Emiris

Auctions have known considerable and continuous growth during the past decades due to their logic and efficiency in price formation when the value of goods traded is not known or varies. Although earlier research has been based mainly on Microeconomics and Games Theory, recent advances extended relevant research in Operational Research and Information Technology. Today, auctions and their applications form a challenging topic not only for economists but for operational researchers, marketers, logisticians and management engineers. This paper examines contemporary emerging auction formats, including auctions in which bids consist of many other parameters. The study of these emerging auction formats proceeds through the analysis of critical auction parameters that directly affect the decision-making process and the problems that auction participants face. This paper presents, with a presentation in graphical form, the decision framework for the majority of approaches presented in contemporary literature to highlight the association between decision elements and auction design.


Author(s):  
Dimitrios M. Emiris ◽  
Charis A. Marentakis

Auctions have known considerable and continuous growth during the last decades due to their interesting properties in price formation when the value of goods traded is not known or varies. The systematic research in the area of auctions has advanced considerably since William Vickrey’s seminal paper on 1961. Although earlier research has been based mainly on Microeconomics and Games Theory, recent advances extended relevant research in Operational Research and Information Technology. Today, auctions and their applications form a challenging topic not only for economists but for operational researchers, marketers, logisticians and management engineers as well. This paper provides an overview of recent literature in auction theory, focusing on contemporary auction techniques and proposes an Auctions Classification Ecosystem (ACE) that encompasses previous works and new developments in the area. The proposed unified classification approach encompasses auction features and mechanism design parameters in a single scheme. This scheme facilitates the understanding of auction characteristics and supports auction practitioners in designing the appropriate format depending on the application requirements.


Author(s):  
Dimitrios M. Emiris ◽  
Charis A. Marentakis

Auctions have known considerable and continuous growth during the last decades due to their interesting properties in price formation when the value of goods traded is not known or varies. The systematic research in the area of auctions has advanced considerably since William Vickrey’s seminal paper on 1961. Although earlier research has been based mainly on Microeconomics and Games Theory, recent advances extended relevant research in Operational Research and Information Technology. Today, auctions and their applications form a challenging topic not only for economists but for operational researchers, marketers, logisticians and management engineers as well. This paper provides an overview of recent literature in auction theory, focusing on contemporary auction techniques and proposes an Auctions Classification Ecosystem (ACE) that encompasses previous works and new developments in the area. The proposed unified classification approach encompasses auction features and mechanism design parameters in a single scheme. This scheme facilitates the understanding of auction characteristics and supports auction practitioners in designing the appropriate format depending on the application requirements.


2017 ◽  
Author(s):  
Eugenia Isabel Gorlin ◽  
Michael W. Otto

To live well in the present, we take direction from the past. Yet, individuals may engage in a variety of behaviors that distort their past and current circumstances, reducing the likelihood of adaptive problem solving and decision making. In this article, we attend to self-deception as one such class of behaviors. Drawing upon research showing both the maladaptive consequences and self-perpetuating nature of self-deception, we propose that self-deception is an understudied risk and maintaining factor for psychopathology, and we introduce a “cognitive-integrity”-based approach that may hold promise for increasing the reach and effectiveness of our existing therapeutic interventions. Pending empirical validation of this theoretically-informed approach, we posit that patients may become more informed and autonomous agents in their own therapeutic growth by becoming more honest with themselves.


Author(s):  
Karen Salmon

Strong theory and research implicates parent–child conversations about the past in the child’s development of critical skills, including autobiographical memory and understanding of emotion and minds. Yet very little research has focused on associations between reminiscing and the development of childhood psychopathology. This chapter considers what is known about reminiscing between parents and children where there is anxiety or conduct problems. These findings provide clues as to how children come to manifest difficulties in autobiographical memory and emotion competence. Thereafter, the text reviews studies that have attempted to alter the style and content of parent–child reminiscing in clinical populations. The full implications of parent–child reminiscing, as a rich context for children’s development, have yet to be realized in clinically relevant research.


Author(s):  
John Hunsley ◽  
Eric J. Mash

Evidence-based assessment relies on research and theory to inform the selection of constructs to be assessed for a specific assessment purpose, the methods and measures to be used in the assessment, and the manner in which the assessment process unfolds. An evidence-based approach to clinical assessment necessitates the recognition that, even when evidence-based instruments are used, the assessment process is a decision-making task in which hypotheses must be iteratively formulated and tested. In this chapter, we review (a) the progress that has been made in developing an evidence-based approach to clinical assessment in the past decade and (b) the many challenges that lie ahead if clinical assessment is to be truly evidence-based.


2021 ◽  
Vol 42 (02) ◽  
pp. 191-195

Good reviewers are essential to the success of any journal and peer review is a major pillar of science. We are grateful to those mentioned below to have dedicated their time and expertise to help our authors improve and refine their manuscripts and support the Editor(s) in the decision making process in the past year.


2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.


2020 ◽  
Vol 51 (6) ◽  
pp. 670-684 ◽  
Author(s):  
Rodney Turner

Research on the governance of project management suggests governmentality and governance are associated with improved project performance. However, the mechanism is unknown. We propose that they influence decision making, which, in turn, improves performance. Few articles on governance comment directly on how governance influences decision making. We identify six areas of organizational psychology that influence decision making, and study what research on the governance of project management suggests about how governance influences those six areas. We review 36 articles on the governance of project management published in the past six years in the three main journals in project management.


2021 ◽  
Vol 31 (6) ◽  
pp. R303-R306
Author(s):  
Bharath Chandra Talluri ◽  
Anke Braun ◽  
T.H. Donner

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