Seyyed Jalaladdin Hosseini Dehshiri; Mojtaba Aghaei; Mohammad’Taghi Taghavifard
Abstract
Recommender systems utilization has proven sales enhancement in most e-commerce platforms. This system objected to provide more options, comfort and flexibility to user which could make him interested, as well as providing better chance for companies to increase sells in their products and services. ...
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Recommender systems utilization has proven sales enhancement in most e-commerce platforms. This system objected to provide more options, comfort and flexibility to user which could make him interested, as well as providing better chance for companies to increase sells in their products and services. Flourishing popularity of web site has originated intrigue for recommendation systems. By penetrating in infinite fields, recommendation systems give deceptive suggestion on services compatible with user precedence. Integrating recommender systems by data management techniques to can targeted such issues and quality of suggestions will be improved considerably. Recent research reveals an idea of utilizing social network data to refine weakness points of traditional recommender system and improve prediction accuracy and efficiency. In this paper we represent views of recommender systems based on Twitter social network data by usage of variety interfaces, content analysis Methods, computational linguistics techniques and MALLET topic modeling algorithm. By deep exploration of objects, methodologies and available data sources, this paper will helps interested people to develop travel recommendation systems and facilitates future research by achieved direction.
Mohammad Taghi Taghavifard; Azita Dadvand; Mojtaba Aghaei
Abstract
Banks are service organizations having close relationship with their customer by providing them financial services. Since customers are the most valuable sources for any bank, there is no doubt that the profitability of these financial organizations is highly related to the analysis of ...
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Banks are service organizations having close relationship with their customer by providing them financial services. Since customers are the most valuable sources for any bank, there is no doubt that the profitability of these financial organizations is highly related to the analysis of issues related to the customer satisfaction. Banks are constantly paying special attention to service quality as the most important principle of payments. Queue length and waiting time are two important factors that affect on the customer's perception of service quality. Among the various useful methods for evaluating and analyzing systems in steady states and also considering probabilistic date, it is shown that simulation has a high capability in modeling and evaluating such circumstances. Simulation is a suitable tool for the analysis of any queuing systems. The main aim of this paper is to simulating service processes of the bank branches and offer scenarios to improve existing processes toward customer satisfaction. To do this, after the identification of different service processes in the bank, the bottlenecks are identified and scenarios are offered to overcome these bottlenecks. The results show that proposed method can highly increase the speed and efficiency of services provided by the bank and achieve customer satisfaction.
Mojtaba Aghaei; Mohammad Hassan Dehghani; Razieh Naderi Ziarati; Majid Toolabi
Abstract
Rapid changes in today's world, organizations are faced with different challenges, But in this way, organizations are able to help management tools and new technologies create opportunities to their advantage. Knowledge management is one of these instruments. The aim of this study was to evaluate ...
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Rapid changes in today's world, organizations are faced with different challenges, But in this way, organizations are able to help management tools and new technologies create opportunities to their advantage. Knowledge management is one of these instruments. The aim of this study was to evaluate the impact of implementation of knowledge management on supply chain agility is the Iran Khodro Company. Therefore, after reviewing the research literature dimensions of knowledge management and supply chain agility is determined. In this study, a choice is based on the model of knowledge management processes such as knowledge acquisition, knowledge generation, storing knowledge, application of knowledge and knowledge transfer. Also in the field of supply chain agility dimension of flexibility in supply, flexibility in manufacturing and flexibility in distribution and delivery is used. After identifying the desired dimensions in the research and determine hypotheses using structural equation modeling with the help of advanced software and SMART-PLS assumptions were tested and the results are analyzed.
