Incorporating the Time–Order Effect of Feedback in Online Auction Markets through a Bayesian Updating Model

MIS Quarterly ◽  
2021 ◽  
Vol 45 (2) ◽  
pp. 985-1006
Author(s):  
Michael Chau ◽  
Wenwen Li ◽  
Boye Yang ◽  
Alice Lee ◽  
Zhuolan Bao
Keyword(s):  
Bayesian Updating ◽  
Order Effect ◽  
Feedback Mechanism ◽  
Online Auction ◽  
Auction Markets ◽  
Transaction Data ◽  
Price Premiums ◽  
Proposed Model ◽  
Time Order ◽  
Different Levels

Online auction markets host a large number of transactions every day. The transaction data in auction markets are useful for understanding the buyers and sellers in the market. Previous research has shown that sellers with different levels of reputation, as shown by the ratings and comments left in feedback systems, enjoy different levels of price premiums for their transactions. Feedback scores and feedback texts have been shown to correlate with buyers’ level of trust in a seller and the price premium that buyers are willing to pay (Ba and Pavlou 2002; Pavlou and Dimoka 2006). However, existing models do not consider the time-order effect, which means that feedback posted more recently may be considered more important than feedback posted less recently. This paper addresses this shortcoming by (1) testing the existence of the time-order effect, and (2) proposing a Bayesian updating model to represent buyers’ perceived reputation considering the time-order effect and assessing how well it can explain the variation in buyers’ trust and price premiums. In order to validate the time-order effect and evaluate the proposed model, we conducted a user experiment and collected real-life transaction data from the eBay online auction market. Our results confirm the existence of the time-order effect and the proposed model explains the variation in price premiums better than the benchmark models. The contribution of this research is threefold. First, we verify the time-order effect in the feedback mechanism on price premiums in online markets. Second, we propose a model that provides better explanatory power for price premiums in online auction markets than existing models by incorporating the time-order effect. Third, we provide further evidence for trust building via textual feedback in online auction markets. The study advances the understanding of the feedback mechanism in online auction markets.

Combination of gated recurrent unit and Network in Network for underwater acoustic target recognition

2021 ◽  
Vol 263 (6) ◽  
pp. 486-492
Author(s):  
Shuang Yang ◽  
Xiangyang Zeng
Keyword(s):  
Information Acquisition ◽  
Target Recognition ◽  
Recognition Rate ◽  
Temporal Correlation ◽  
Feedback Mechanism ◽  
Underwater Acoustic ◽  
Acoustic Information ◽  
Proposed Model ◽  
Acoustic Target ◽  
Gated Recurrent Unit

Underwater acoustic target recognition is an important part of underwater acoustic signal processing and an important technical support for underwater acoustic information acquisition and underwater acoustic information confrontation. Taking into account that the gated recurrent unit (GRU) has an internal feedback mechanism that can reflect the temporal correlation of underwater acoustic target features, a model with gated recurrent unit and Network in Network (NIN) is proposed to recognize underwater acoustic targets in this paper. The proposed model introduces NIN to compress the hidden states of GRU while retaining the original timing characteristics of underwater acoustic target features. The higher recognition rate and faster calculation speed of the proposed model are demonstrated with experiments for raw underwater acoustic signals comparing with the multi-layer stacked GRU model.

Online Auction Markets Before and During the Lockdown

2021 ◽  
Author(s):  
Francisco Alvarez ◽  
Alfredo Garcia-Hiernaux ◽  
Marcello Sartarelli
Keyword(s):  
Online Auction ◽  
Auction Markets

scholarly journals Multimedia Quality Integration Using Piecewise Function

2011 ◽  
Vol 1 ◽  
pp. 375-380
Author(s):  
Shu Ai Wan ◽  
Kai Fang Yang ◽  
Hai Yong Zhou
Keyword(s):  
Visual Quality ◽  
Experimental Results ◽  
Integration Model ◽  
Quality Performance ◽  
Piecewise Function ◽  
Proposed Model ◽  
Constant Coefficients ◽  
Theoretical Analyses ◽  
Different Levels

In this paper the important issue of multimedia quality evaluation is concerned, given the unimodal quality of audio and video. Firstly, the quality integration model recommended in G.1070 is evaluated using experimental results. Theoretical analyses aide empirical observations suggest that the constant coefficients used in the G.1070 model should actually be piecewise adjusted for different levels of audio and visual quality. Then a piecewise function is proposed to perform multimedia quality integration under different levels of the audio and visual quality. Performance gain observed from experimental results substantiates the effectiveness of the proposed model.

scholarly journals Blockchain-Enhanced Fair Task Scheduling for Cloud-Fog-Edge Coordination Environments: Model and Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Wenjuan Li ◽  
Shihua Cao ◽  
Keyong Hu ◽  
Jian Cao ◽  
Rajkumar Buyya
Keyword(s):  
Task Scheduling ◽  
User Satisfaction ◽  
Chain Structure ◽  
Computing Model ◽  
Blockchain Technology ◽  
Node Distribution ◽  
Proposed Model ◽  
Task Processing ◽  
Scheduling Models ◽  
Different Levels

The cloud-fog-edge hybrid system is the evolution of the traditional centralized cloud computing model. Through the combination of different levels of resources, it is able to handle service requests from terminal users with a lower latency. However, it is accompanied by greater uncertainty, unreliability, and instability due to the decentralization and regionalization of service processing, as well as the unreasonable and unfairness in resource allocation, task scheduling, and coordination, caused by the autonomy of node distribution. Therefore, this paper introduces blockchain technology to construct a trust-enabled interaction framework in a cloud-fog-edge environment, and through a double-chain structure, it improves the reliability and verifiability of task processing without a big management overhead. Furthermore, in order to fully consider the reasonability and load balance in service coordination and task scheduling, Berger’s model and the conception of service justice are introduced to perform reasonable matching of tasks and resources. We have developed a trust-based cloud-fog-edge service simulation system based on iFogsim, and through a large number of experiments, the performance of the proposed model is verified in terms of makespan, scheduling success rate, latency, and user satisfaction with some classical scheduling models.

Deformation Capacity Limits for Reinforced Concrete Walls

2019 ◽  
Vol 35 (3) ◽  
pp. 1189-1212 ◽  
Author(s):  
Alex V. Shegay ◽  
Christopher J. Motter ◽  
Kenneth J. Elwood ◽  
Richard S. Henry
Keyword(s):  
Reinforced Concrete ◽  
Compressive Strain ◽  
Deformation Capacity ◽  
Concrete Walls ◽  
Capacity Limits ◽  
Reinforced Concrete Walls ◽  
Proposed Model ◽  
Bar Buckling ◽  
Bar Diameter ◽  
Different Levels

The use of deformation capacity limits is becoming increasingly common in seismic design and assessment of reinforced concrete (RC) walls. Deformation capacity limits for RC walls in existing design and assessment documents are reviewed using a comprehensive database. It is found that the existing models are inconsistent and do not account for variation in deformation capacity with changes in the ratio of neutral axis depth to wall length ( c/ L w) and ratio of transverse reinforcement spacing to longitudinal bar diameter ( s/ d b) at the wall end region. A new mechanics-based model considering strain limits on the concrete and reinforcement is recommended. Concrete compressive strain limits for different levels of wall end region detailing are selected based on curvature ductilities for the walls in the database. Reinforcement tensile strain is limited based on a model for bar buckling. The proposed model, which accounts for c/ L w and s/ d b, is shown to have less dispersion and more accuracy than existing models when compared against experimental data and provides consistency between assessment and design provisions.

The structure and development of borderline personality disorder: A proposed model

1997 ◽  
Vol 170 (1) ◽  
pp. 82-87 ◽  
Author(s):  
Anthony Ryle
Keyword(s):  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Structural Model ◽  
Borderline Personality ◽  
Proposed Model ◽  
Analytic Therapy ◽  
Cognitive Analytic Therapy ◽  
Different Levels

BackgroundThe theory of cognitive analytic therapy is extended to offer an understanding of borderline personality disorder (BPD).MethodA structural model (the multiple self states model) and a classification of different levels of developmental damage are proposed.ResultsThe model offers an explanation of the phenomenology of BPD.ConclusionsThe multiple self states model provides insights that will be useful for clinicians involved in the psychotherapy and management of BPD patients.

Efficiency Considerations in Online Auction Markets

2007 ◽  
Vol 17 (4) ◽  
pp. 311-328 ◽  
Author(s):  
Ram D. Gopal ◽  
Y. Alex Tung ◽  
Andrew B. Whinston
Keyword(s):  
Online Auction ◽  
Auction Markets
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