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Rustam Vahidov

Rustam Vahidov is an Associate Professor of Management Information Systems at the Department of Decision Sciences and MIS, John Molson School of Business, Concordia University (Montreal, Quebec, Canada). He received his Ph.D. from Georgia State University in 2000. Dr. Vahidov has published papers in a number of academic journals, including Journal of MIS, Decision Support Systems, Information and Management, E-Commerce Research and Applications, IEEE Transactions on Systems, Man and Cybernetics, Fuzzy Sets and Systems, and several others. His primary research interests include: decision support systems, design science research, software agents, e-commerce systems, distributed artificial intelligence and multi-agent systems, negotiation systems, data mining, fuzzy logic, and genetic algorithms.

Publications

Quantitative Concession Behavior Analysis and Prediction for Decision Support in Electronic Negotiations

Quantitative analysis of negotiation concession behavior is performed based on empirical data with the purpose of providing simple and intuitive decision support in electronic...

Situated Service-Oriented Modeling

The emergence of e-services benefited the stakeholders due to ease of access to data, information and knowledge sources. Service-based applications have evolved into flexible and...

Design-Type Research in Information Systems: Findings and Practices

Design-type research deals with the multidisciplinary issues of methodology of design, design principles and guidelines, and philosophy of design with the aim of producing...

Value of Recommendation Systems for Online Investors

Internet allows investors to use friendly tools which help them to make and implement their investment choices in an online environment. Individuals can have access to volumes of...

Situated Service-Oriented Modeling

The emergence of e-services benefited the stakeholders due to ease of access to data, information and knowledge sources. Service-based applications have evolved into flexible and...

Machine Learning-Based Demand Forecasting in Supply Chains

Effective supply chain management is one of the key determinants of success of today’s businesses. However, communication patterns between participants that emerge in a supply...