The Usage of Contextual Discounting and Opposition in Determining the Trustfulness of Users in Online Auctions

Beránek, Ladislav; Knížek, Jiří

doi:10.4067/s0718-18762012000100004

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…This model applies all the relevant information about the user behavior in online auctions, which is based on the assessment of user reactions after the transactions. In a case study on Czech online auction Aukro the accuracy of this offered model is confirmed (Beranek & Knizek, 2012). In another study, Storto (2013) presented an integrative framework based on data envelopment analysis (DEA) for measuring the efficiency of e-commerce web sites from a user view.…”

Section: Literature Reviewmentioning

confidence: 84%

Analyzing key performance indicators of e-commerce using balanced scorecard

Chaharsooghi¹,

Beigzadeh²,

Sajedinejad³

2016

10.5267/j.msl

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E-commerce as one of the most significant aspects of innovation in business processes is what takes place in companies across the world. The gap between information and communications technology and e-business application is called the digital divide. It is necessary to understand the reasons for the failure of commercial sites. Here the objective is to assess the commercial sites of Iran. Different methods are adopted to evaluate sites and electronic stores. The balanced scorecard is a rarely adopted method of concern to evaluate these sites in Iran. The survey methodology and Delphi technique are applied in building the research tools, which led to the development of a questionnaire. Through applying the BSC approach, the numbers of indicators in each of the four perspectives of BSC were identified. The DEMATEL technique is applied to determine the importance of different perspectives and to identify the causal correlations among the four perspectives. The results generated by SMART PLS graphics, the Structural Equation Modeling software, confirm the adequacy of this proposed model for websites. The findings here indicate that the growth and learning perspective have the greatest impact on the other perspectives while the other perspectives mostly affect the financial perspective.

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Section: Literature Reviewmentioning

confidence: 84%

Analyzing key performance indicators of e-commerce using balanced scorecard

Chaharsooghi¹,

Beigzadeh²,

Sajedinejad³

2016

10.5267/j.msl

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“…They demonstrate the correctness of their approach in an eBay auctions case study. The papers [33,34] describe some features of shill behavior which are then expressed by belief functions and combined with the aim to classify users into categories of shill, suspect, and trustworthy. Pandit et al [9] designed and implemented an online auction fraud detection system named NetProbe.…”

Section: Related Workmentioning

confidence: 99%

Uncertain Reasoning for Detection of Selling Stolen Goods in Online Auctions Using Contextual Information

Beránek

2014

Advances in Decision Sciences

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This work describes the design of a decision support system for detection of fraudulent behavior of selling stolen goods in online auctions. In this system, each seller is associated with a type of certification, namely “proper seller,” “suspect seller,” and “selling stolen goods.” The certification level is determined on the basis of a seller’s behaviors and especially on the basis of contextual information whose origin is outside online auctions portals. In this paper, we focus on representing knowledge about sellers in online auctions, the influence of additional information available from other Internet source, and reasoning on bidders’ trustworthiness under uncertainties using Dempster-Shafer theory of evidence. To demonstrate the practicability of our approach, we performed a case study using real auction data from Czech auction portal Aukro. The analysis results show that our approach can be used to detect selling stolen goods. By applying Dempster-Shafer theory to combine multiple sources of evidence for the detection of this fraudulent behavior, the proposed approach can reduce the number of false positive results in comparison to approaches using a single source of evidence.

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“…In order to determine the occurrence of a situation, various sensors are located in different places, for example in one household to monitor and to collect data to determine the situation. This data provides only symptomatic evidence and requires appropriate analysis of these symptomatic symptoms that can lead to a corresponding judgement about the situation (Beranek, 2012). The problem is how to combine and analyze these indicative evidences of such situation to determine the occurrence of a real situation.…”

Section: Introductionmentioning

confidence: 99%

A Framework for Situation Inference based on Belief Function Theory

Beránek

2012

Proceedings of the International Conference on Knowledge Discovery and Information Retrieval

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The ability to identify the occurrence of a situation is the main function of context-aware systems. The process of identifying a situation is not easy due to the uncertain nature of the processed information. We use the belief function theory to detect specific situations on the basis of uncertain sensor data. In this paper, we propose a framework for situation awareness based on the belief function theory which is applied to determination of situation occurrence from uncertain sensor data. The framework consists of the situation sensors data processing (filtering, integration) and of situation detection based on alternative frames of discernment generation. The case study demonstrates that the proposed framework is effective and can be used to situation detection.

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The Usage of Contextual Discounting and Opposition in Determining the Trustfulness of Users in Online Auctions

Cited by 5 publications

References 24 publications

Analyzing key performance indicators of e-commerce using balanced scorecard

Analyzing key performance indicators of e-commerce using balanced scorecard

Uncertain Reasoning for Detection of Selling Stolen Goods in Online Auctions Using Contextual Information

A Framework for Situation Inference based on Belief Function Theory

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