Can Web Seals Work Wonders for Small E-Vendors in the Online Trading Environment? A Theoretical Approach

2011 ◽  
pp. 239-258
Author(s):  
Xiaorui Hu ◽  
Yuhong Wu
Keyword(s):  
Decision Making ◽  
Social Welfare ◽  
Theoretical Approach ◽  
Positive Impact ◽  
Empirical Studies ◽  
Decision Making Process ◽  
Price Effect ◽  
Online Shoppers ◽  
Online Trading ◽  
Decision Making Model

Trust is a major issue in e-markets. It is an even more prominent issue when online shoppers trade with small, less-established e-vendors. Empirical studies on Web seals show that small e-vendors could promote consumers’ trust and increase Web sales by displaying Web seals of approval. This article takes a theoretical approach to examine online trading when seals are used in e-markets. We establish an online shopper’s decision-making model to reveal the online shopper’s decision-making criteria. Criteria include when to trade with a well-established e-vendor and when to trade with a small, less-established e-vendor, with or without a Web seal. Based on our analysis of the research results, we reveal the price effect, the seal effect, the reputation effect, and their impact on a shopper’s decision-making process. Meanwhile, a social welfare analysis is conducted to further demonstrate the positive impact of Web seals on small, less-established e-vendors.

Can Web Seals Work Wonders for Small E-Vendors in the Online Trading Environment? A Theoretical Approach

2010 ◽  
pp. 251-271
Author(s):  
Xiaorui Hu ◽  
Yuhong Wu
Keyword(s):  
Decision Making ◽  
Social Welfare ◽  
Theoretical Approach ◽  
Positive Impact ◽  
Empirical Studies ◽  
Decision Making Process ◽  
Price Effect ◽  
Online Shoppers ◽  
Online Trading ◽  
Decision Making Model

Trust is a major issue in e-markets. It is an even more prominent issue when online shoppers trade with small, less-established e-vendors. Empirical studies on Web seals show that small e-vendors could promote consumers’ trust and increase Web sales by displaying Web seals of approval. This article takes a theoretical approach to examine online trading when seals are used in e-markets. We establish an online shopper’s decision-making model to reveal the online shopper’s decision-making criteria. Criteria include when to trade with a well-established e-vendor and when to trade with a small, less-established e-vendor, with or without a Web seal. Based on our analysis of the research results, we reveal the price effect, the seal effect, the reputation effect, and their impact on a shopper’s decision-making process. Meanwhile, a social welfare analysis is conducted to further demonstrate the positive impact of Web seals on small, less-established e-vendors.

An Evacuation Decision Making Model for Firefighters in Ad Hoc Robot Network

2013 ◽  
Vol 756-759 ◽  
pp. 504-508
Author(s):  
De Min Li ◽  
Jian Zou ◽  
Kai Kai Yue ◽  
Hong Yun Guan ◽  
Jia Cun Wang
Keyword(s):  
Decision Making ◽  
Markov Decision Process ◽  
Decision Process ◽  
Ad Hoc ◽  
Decision Making Process ◽  
Decision Method ◽  
Markov Decision ◽  
Critical Problems ◽  
Fire Scene ◽  
Decision Making Model

Evacuation for a firefighter in complex fire scene is challenge problem. In this paper, we discuss a firefighters evacuation decision making model in ad hoc robot network on fire scene. Due to the dynamics on fire scene, we know that the sensed information in ad hoc robot network is also dynamically variance. So in this paper, we adapt dynamic decision method, Markov decision process, to model the firefighters decision making process for evacuation from fire scene. In firefighting decision making process, we know that the critical problems are how to define action space and evaluate the transition law in Markov decision process. In this paper, we discuss those problems according to the triangular sensors situation in ad hoc robot network and describe a decision making model for a firefighters evacuation the in the end.

scholarly journals A HYBRID MODEL FOR DECISION-MAKING IN THE INFORMATION AND COMMUNICATIONS TECHNOLOGY SECTOR

2015 ◽  
Vol 21 (5) ◽  
pp. 720-737 ◽  
Author(s):  
Andrés CID-LÓPEZ ◽  
Miguel J. HORNOS ◽  
Ramón Alberto CARRASCO ◽  
Enrique HERRERA-VIEDMA
Keyword(s):  
Decision Making ◽  
Intelligent System ◽  
Daily Basis ◽  
Information And Communications Technology ◽  
Decision Making Process ◽  
Computing With Words ◽  
Communications Technology ◽  
Qualitative Information ◽  
Technology Sector ◽  
Decision Making Model

The majority of businesses in the Information and Communications Technology (ICT) sector face decision-making problems on a daily basis. Most of these problems are based on contexts of uncertainty, where decisions are founded on qualitative information which may be imprecise or perception-based. In these cases, the information which is expressed by experts and users of evaluated services can be treated using processes of computing with words (CW). In this paper, we present a hybrid decision-making model especially designed for the ICT sector whereby the experts have the support of an intelligent system which provides information about the opinions of users related to those problems which are to be analysed. These opinions are obtained by using different mechanisms and techniques when users conduct business with the service provider. In addition, we employ a procedure for obtaining consensus between experts which enriches and strengthens the decision-making process.

scholarly journals Prognostic Genomic Tissue-Based Biomarkers in the Treatment of Localized Prostate Cancer

2022 ◽  
Vol 12 (1) ◽  
pp. 65
Author(s):  
Gianluca Ingrosso ◽  
Emanuele Alì ◽  
Simona Marani ◽  
Simonetta Saldi ◽  
Rita Bellavita ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Decision Making ◽  
Clinical Decision Making ◽  
Positive Impact ◽  
Wide Spectrum ◽  
Locally Advanced ◽  
Treatment Strategies ◽  
Quality Criteria ◽  
Localized Prostate Cancer ◽  
Decision Making Process

In localized prostate cancer clinicopathologic variables have been used to develop prognostic nomograms quantifying the probability of locally advanced disease, of pelvic lymph node and distant metastasis at diagnosis or the probability of recurrence after radical treatment of the primary tumor. These tools although essential in daily clinical practice for the management of such a heterogeneous disease, which can be cured with a wide spectrum of treatment strategies (i.e., active surveillance, RP and radiation therapy), do not allow the precise distinction of an indolent instead of an aggressive disease. In recent years, several prognostic biomarkers have been tested, combined with the currently available clinicopathologic prognostic tools, in order to improve the decision-making process. In the following article, we reviewed the literature of the last 10 years and gave an overview report on commercially available tissue-based biomarkers and more specifically on mRNA-based gene expression classifiers. To date, these genomic tests have been widely investigated, demonstrating rigorous quality criteria including reproducibility, linearity, analytical accuracy, precision, and a positive impact in the clinical decision-making process. Albeit data published in literature, the systematic use of these tests in prostate cancer is currently not recommended due to insufficient evidence.

scholarly journals A FORMALIZED ALGORITHM FOR OPTIMIZING THE DECISION-MAKING PROCESS IN CONDITIONS OF STOCHASTIC UNCERTAINTY

2021 ◽  
Author(s):  
Iryna Debela
Keyword(s):  
Decision Making ◽  
Distribution Function ◽  
Control Process ◽  
Parametric Uncertainty ◽  
Decision Making Process ◽  
Interval Estimate ◽  
Negative Consequences ◽  
Stochastic Uncertainty ◽  
Functional Relationships ◽  
Decision Making Model

One of the main tasks of the decision support theory is the study of methods and tools for solving the problem of minimizing the negative consequences and risks in choosing strategic directions for the development of the studied system - the object of management. The formal algorithm of the optimization in conditions of the decision-making process stochastic uncertainty, and realization of steady states in system is investigated. The purpose of the algorithm model is to provide the predicted dynamics, compensation of structural, parametric uncertainty of the control system. The ambiguity of the choice the alternative solutions and as a consequence - the inadequacy of the mathematical model, due to the significant amount of stochastic and functional relationships, different ways of presenting input data, the impossibility formalizing the studied processes. Solutions in conditions of partial or complete uncertainty can be found by searching for elements of a set the alternatives, each of which with some probability may be the optimal solution. If statistical observations of the studied object or management process are incomplete, insufficiently formalized, or impossible at all, then the uncertainty of the decision to predict the directions of their possible development is clear. The decision-making process in conditions of uncertainty is proposed to be divided into stages: specification and formalization of the decision-making model; choice methods and algorithms for constructing alternatives taking into account the peculiarities of the chosen decision-making model. Parametric uncertainty is described as an interval estimate of possible values of the studied parameter. The interval can be strictly limited by numerical values, or with not clear limits - descriptive qualitative variables. Modeling of the control process in conditions of stochastic uncertainty is based on the definition of the object under study as a complex system. A promising area of research on this topic is a mathematical description of the value distribution function within the interval, which can be formalized on the basis of expert estimates, or as a heuristic probability distribution function of unpredictable events.

Ethical Decision Making

2011 ◽  
pp. 313-319
Author(s):  
Norizah Mustamil ◽  
Mohammed Quaddus
Keyword(s):  
Decision Making ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Empirical Studies ◽  
Theory And Practice ◽  
Situational Factor ◽  
Scholarly Journals ◽  
Ethical Practices ◽  
Unethical Practices ◽  
Decision Making Model

Studies have shown that organizations are putting more effort in enforcing the ethical practices in their decision making activities (Janet, Armen, & Ted, 2001). An increasing number of models have also been proposed that have attempted to explore and explain various philosophical approaches to ethical decision making behaviour. In addition, many empirical studies have been presented in various scholarly journals focusing on this subject with the aim of putting theory into practice (O’Fallon & Butterfield, 2005). Nevertheless, unethical practices including fraud, corruption, and bribery continue to be reported (Trevino & Victor, 1992). Bartlett (2003) claims that there is a large gap between theory and practice in ethical decision making research, as existing models are trapped either in undersocialized view (focus on individual factors only) or oversocialized view (focus on situational factor only). Development of a theoretical framework in the ethical decision making area has proven to be very challenging due to the multitude of complex and varied factors that contribute to ethical behaviour. This article attempts to contribute in this challenging area by reviewing and examining the major existing models and presenting an integrated model of ethical decision making model.

scholarly journals Integrated approach for risk management in servitization decision-making process

2020 ◽  
Vol 26 (7) ◽  
pp. 1949-1977 ◽  
Author(s):  
Sarra Dahmani ◽  
Xavier Boucher ◽  
Didier Gourc ◽  
Sophie Peillon ◽  
François Marmier
Keyword(s):  
Decision Making ◽  
Decision Process ◽  
Positive Impact ◽  
Practical Implication ◽  
Risk Identification ◽  
Decision Makers ◽  
Decision Making Process ◽  
Research Approach ◽  
Content Type ◽  
Action Research Approach

PurposeThe paper proposes an innovative systemic method helping decision-makers to control servitization transition process, through decision process risk diagnosis.Design/methodology/approachThe proposed method is based on the modeling of decision processes and risk identification and analysis. This method was based on an action-research approach, in close relationship with two companies (SMEs). The paper develops the feasibility experiment at Automelec company.FindingsThe method was successfully implemented and delivered concrete diagnosis results.Research limitations/implicationsThe generalization of the applicability of the method needs to be tested on several different cases.Practical implicationsThe first practical implication is related to the efficiency of the method to help decision-makers in a servitization context to limit uncertainty and get a global view of the weaknesses of their decision-making process, it raises their awareness about servitization transition for their companies. Furthermore, the method also helps to explain the strategy of a servitization transition. It enhances the level of maturity of the decision process of the company, and can be used as a training/learning tool for managers.Social implicationsThe results brought by the research contribute to give the decision-making boards for organization living a servitization transition and especially SMEs a better control over the servitization decision process and related risks, which will increase the economic stability of the company and its vision over long, medium and short horizons. This will bring positive impact on the overall economic and social environment and networks of the servitized SME, and enhance the confidence of coworkers, subcontractors and clients.Originality/valueThe first originality of the paper is related to the new way of considering risk, not only as an analysis criterion but as the central driver in steering a strategic transition for the company, such as servitization. The second originality of the study is about assessing risk occurrence over a decision-making process through decision reliability and decision confidence.

Modeling Driver Merging Behavior: A Repeated Game Theoretical Approach

2018 ◽  
Vol 2672 (20) ◽  
pp. 144-153 ◽  
Author(s):  
Kyungwon Kang ◽  
Hesham A. Rakha
Keyword(s):  
Decision Making ◽  
Theoretical Approach ◽  
Repeated Game ◽  
Simulation Software ◽  
Lane Changing ◽  
Microscopic Traffic Simulation ◽  
Game Theoretical Approach ◽  
The Subject ◽  
Merging Behavior ◽  
Decision Making Model

Various lane-changing models have been developed for use within microscopic traffic simulation software to replicate driver merging behavior. An understanding of human driving behavior, which can be gained through such modeling, will be critical in harmonizing emerging advanced vehicle technology, such as connected automated vehicles, with human drivers. Therefore, it is important to ensure that lane-changing models are clearly understood, appropriately designed, and carefully calibrated. An earlier study by Kang and Rakha proposed and developed a decision-making model for merging maneuvers using a game theoretical approach considering two drivers: the driver of the subject vehicle (DS) in an acceleration lane and the driver of the following lag vehicle (DL) in the target lane. The previous model assumed that the DS and DL decide on an action at the first point only, where the subject and lag vehicles are identified. The current study extends the Kang and Rakha model by introducing the concept of a repeated game, assuming that a lane change decision is made repeatedly to adjust to changes in surrounding conditions. For example, drivers often decide to change their initial decision as a result of conflicts with other drivers. A repeated game helps the proposed model produce more realistic decision-making in the lane-changing process. To evaluate the model, driver decisions at a certain stage, along with accumulated historical decision data, were extracted from Next Generation SIMulation (NGSIM) data. The validation results reveal that the proposed repeated game model produces considerable prediction accuracy (above 75%).

Game Theoretical Approach to Model Decision Making for Merging Maneuvers at Freeway On-Ramps

2017 ◽  
Vol 2623 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Kyungwon Kang ◽  
Hesham A. Rakha
Keyword(s):  
Decision Making ◽  
Theoretical Approach ◽  
Model Parameters ◽  
Decision Making Process ◽  
Optimization Approach ◽  
Data Set ◽  
Deliberation Process ◽  
Proposed Model ◽  
Game Theoretical Approach ◽  
The Subject

Drivers of merging vehicles decide when to merge by considering surrounding vehicles in adjacent lanes in their deliberation process. Conflicts between drivers of the subject vehicles (i.e., merging vehicles) in an auxiliary lane and lag vehicles in the adjacent lane are typical near freeway on-ramps. This paper models a decision-making process for merging maneuvers that uses a game theoretical approach. The proposed model is based on the noncooperative decision making of two players, that is, drivers of the subject and lag vehicles, without consideration of advanced communication technologies. In the decision-making process, the drivers of the subject vehicles elect to accept gaps, and drivers of lag vehicles either yield or block the action of the subject vehicle. Corresponding payoff functions for two players were formulated to describe their respective maneuvers. To estimate model parameters, a bi-level optimization approach was used. The next generation simulation data set was used for model calibration and validation. The data set defined the moment the game started and was modeled as a continuous sequence of games until a decision is made. The defined merging decision-making model was then validated with an independent data set. The validation results reveal that the proposed model provides considerable prediction accuracy with correct predictions 84% of the time.

Emergency Psychiatric Admission to the General Hospital a Formulation of the Process

1975 ◽  
Vol 20 (8) ◽  
pp. 567-575 ◽  
Author(s):  
G. Bartolucci ◽  
J.T. Goodman ◽  
D.L. Streiner
Keyword(s):  
Decision Making ◽  
General Hospital ◽  
Psychiatric Hospitalization ◽  
Decision Making Process ◽  
Limited Data ◽  
Psychiatric Admission ◽  
Situational Context ◽  
Decision Making Model

The literature regarding the decision-making process leading to psychiatric hospitalization in a general hospital is reviewed. On the basis of the limited data available in the literature, a decision-making model is proposed, based on variables relating to the clinician, the patient and the situational context.

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