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Designing Integrated Models as a Decision Aid in Web-based Marketing
Mahdavi, Iraj,Fazlollahtabar, Hamed,Mahdavi-Amiri, Nezam,Kakouei, Mohsen Korea Data Strategy Society 2010 Journal of information technology applications & m Vol.17 No.1
Web information systems have been utilized extensively over the past decade. The Internet allows for the entire sales cycle to be conducted on one medium, nearly instantaneously. From making the consumer aware of the product to providing additional information to transacting the final purchase, the Internet can accomplish them all. The Internet is like one big point-of-sales display, with easy access to products and the ability for impulse shopping. Here, we point out different aspects of information technology (IT) in marketing. Consequently, we propose two frameworks as decision aids in web-based marketing environment.
Route Selection in a Dynamic Multi-Agent Multilayer Electronic Supply Network
Mahdavi, Iraj,Fazlollahtabar, Hamed,Shafieian, S. Hosna,Mahdavi-Amiri, Nezam Korea Data Strategy Society 2010 Journal of information technology applications & m Vol.17 No.1
We develop an intelligent information system in a multilayer electronic supply chain network. Using the internet for supply chain management (SCM) is a key interest for contemporary managers and researchers. It has been realized that the internet can facilitate SCM by making real time information available and enabling collaboration between trading partners. Here, we propose a multi-agent system to analyze the performance of the elements of a supply network based on the attributes of the information flow. Each layer consists of elements which are differentiated by their performance throughout the supply network. The proposed agents measure and record the performance flow of elements considering their web interactions for a dynamic route selection. A dynamic programming approach is applied to determine the optimal route for a customer in the end-user layer.
Designing Integrated Models as a Decision Aid in Web-based Marketing
Iraj Mahdavi,Hamed Fazlollahtabar,Nezam Mahdavi-Amiri,Mohsen Kakouei 한국데이타베이스학회 2010 Journal of information technology applications & m Vol.17 No.1
Web information systems have been utilized extensively over the past decade. The Internet allows for the entire sales cycle to be conducted on one medium, nearly instantaneously. From making the consumer aware of the product to providing additional information to transacting the final purchase, the Internet can accomplish them all. The Internet is like one big point-of-sales display, with easy access to products and the ability for impulse shopping. Here, we point out different aspects of information technology (IT) in marketing. Consequently, we propose two frameworks as decision aids in web-based marketing environment.
Route Selection in a Dynamic Multi-Agent Multilayer Electronic Supply Network
Iraj Mahdavi,Hamed Fazlollahtabar,S. Hosna Shafieian,Nezam Mahdavi-Amiri 한국데이타베이스학회 2010 Journal of information technology applications & m Vol.17 No.1
We develop an intelligent information system in a multilayer electronic supply chain network. Using the internet for supply chain management (SCM) is a key interest for contemporary managers and researchers. It has been realized that the internet can facilitate SCM by making real time information available and enabling collaboration between trading partners. Here, we propose a multi-agent system to analyze the performance of the elements of a supply network based on the attributes of the information flow. Each layer consists of elements which are differentiated by their performance throughout the supply network. The proposed agents measure and record the performance flow of elements considering their web interactions for a dynamic route selection. A dynamic programming approach is applied to determine the optimal route for a customer in the end-user layer.
Behzad Maleki Vishkaei,Iraj Mahdavi,Nezam Mahdavi-Amiri,Masoud Askari 한국정보기술응용학회 2016 Journal of information technology applications & m Vol.23 No.3
In recent years, big data has usefully been deployed by organizations with the aim of getting a better prediction for the future. Moreover, knowledge management systems are being used by organizations to identify and create knowledge. Here, the output from analysis of big data and a knowledge management system are used to develop a new model with the goal of minimizing the cost of implementing new recognized processes including staff training, transferring and employment costs. Strategies are proposed from big data analysis and new processes are defined accordingly. The company requires various skills to execute the proposed processes. Organization’s current experts and their skills are known through a pre-established knowledge management system. After a gap analysis, managers can make decisions about the expert arrangement, training programs and employment to bridge the gap and accomplish their goals. Finally, deduction graph is used to analyze the model.
Vishkaei, Behzad Maleki,Mahdavi, Iraj,Mahdavi-Amiri, Nezam,Askari, Masoud Korea Data Strategy Society 2016 Journal of information technology applications & m Vol.23 No.3
In recent years, big data has usefully been deployed by organizations with the aim of getting a better prediction for the future. Moreover, knowledge management systems are being used by organizations to identify and create knowledge. Here, the output from analysis of big data and a knowledge management system are used to develop a new model with the goal of minimizing the cost of implementing new recognized processes including staff training, transferring and employment costs. Strategies are proposed from big data analysis and new processes are defined accordingly. The company requires various skills to execute the proposed processes. Organization's current experts and their skills are known through a pre-established knowledge management system. After a gap analysis, managers can make decisions about the expert arrangement, training programs and employment to bridge the gap and accomplish their goals. Finally, deduction graph is used to analyze the model.
Mahdavia, Iraj,Abbaspour-Ghomi, Hassanjan,Sahebjamnia, Navid,Eissazadeh-Roshan, Yousof,Fazlollahtabar, Hamed,Mahdavi-Amiri, Nezam,Hamzehpour, Amin The Society of Digital Policy and Management 2009 디지털융복합연구 Vol.7 No.1
The rapid growth of information and communication technologies prompted the need for developing the strategic implementation framework of IT/ICT programs in universities. Here, we propose a strategic framework for the development of the IT/ICT programs in the universities of the province of Mazandaran in Iran. We use the SWOT analysis to assist the formulation of the strategy, where the Analytic Hierarchy Process (AHP) is applied to weigh the SWOT factors and the fuzzy TOPSIS is used to evaluate the strategic plans. Based on Iran and Mazandaran Digital Indices (DI) and considering the SWOT matrix, four strategies are identified. Finally, an analytical concept, namely the strategy shooting, is considered to show the role of SWOT factors and strategic plans on the performance of the system.