Research Paper
Data mining
Farahnaz Ahang; Abdolmajid Imani; Meysam Abbasi; Hassan ghaffari; Mohamad Mehdi
Abstract
The main goal of this research is to identify key or strategic customers using the RFM model. In this part after determining the amount of RFM (recency, frequency, and monetary) in, registered transactions of one store in Iran (Refah Chain Store) at a time about seven months from 23 September 2017 to ...
Read More
The main goal of this research is to identify key or strategic customers using the RFM model. In this part after determining the amount of RFM (recency, frequency, and monetary) in, registered transactions of one store in Iran (Refah Chain Store) at a time about seven months from 23 September 2017 to 20 April 2018 (71161 transactions as final inputs were used), the weight of each variable according to the fuzzy analytic hierarchy process was determined. At the next stage customers using the K-means and Two-step’s algorithms were clustered and K-means the method according to the Silhouette index was the better algorithm of this letter. According to the results, customers were segmented into three parts and customer lifetime value was calculated and for identifying key or strategic customer segmentation, the clustering process was repeated and priorities of all clusters were indicated. Results of data analysis are below: Segment 3: customers of this segment were 3425 members and 11.5% of all company customers were the most loyal customers those are identified as golden customer's segment and all of the variables were higher than average of all data. This research identified the valuable customers for the shop, and it gives them a chance to choose goal customers and invest in them, but it doesn’t mean that the shop doesn’t pay attention to the other customers, and they limited their effort to satisfy their profitable customers but it means that they allocated a suitable budget for performing the relationship programs with customers
Review Paper
Other
Hamiden Abdelwahed Khalifa
Abstract
fuzzy parameters represented as (α,β) interval-valued fuzzy numbers instead of the normal fuzzy numbers. Using the signed distance ranking, the problem converted into the corresponding crisp multi objective transportation problem. Then, the solution method introduced by [8] for solving the ...
Read More
fuzzy parameters represented as (α,β) interval-valued fuzzy numbers instead of the normal fuzzy numbers. Using the signed distance ranking, the problem converted into the corresponding crisp multi objective transportation problem. Then, the solution method introduced by [8] for solving the problem is applied. This method provides the ideal and the set of all (α,β) fuzzy efficient solutions. The advantage of this method is more flexible than the standard multi-objective transportation problem, where it allows the decision maker to choose the (α,β) levels of fuzzy numbers he is willing. A numerical example to illustrate the
Research Paper
Banking industry
Keivan Goodarzi; Mohammadreza Kashefi Neishabori; Abdollah Naami; Mojtaba Dastoori
Abstract
The current research has been done pursuing the goal to present a content marketing model with brand improving approach in banking industries. This study is applied in terms of goal and survey- exploratory concerning the approach. The statistical community is made up of a group of experts including the ...
Read More
The current research has been done pursuing the goal to present a content marketing model with brand improving approach in banking industries. This study is applied in terms of goal and survey- exploratory concerning the approach. The statistical community is made up of a group of experts including the senior executives of the banking industries, academic faculty in marketing and marketing consultants acquainted with the banking industries who were posed in-depth interview. Selecting the experts and their interviews continued until reaching theoretical saturation and then stopped. In this research, snowball sampling method was used and this process continued until the researcher reaching theoretical saturation. And ultimately, the study finished with interviewing 9 experts. Since the data-driven theory has been utilized in this research, collecting the data has been mainly done by in-depth and unstructured interview. Finally, after three steps known as open, axial and selective coding, the conceptual model has been designed based on the paradigm model.
Research Paper
Decision analysis and methods
Muhammed Mufazzal Hossen; Mahmud Hossain; K. M. Jalal Uddin Rumi
Abstract
The emergency preparedness and response (EPR) framework to a radiological emergency in a nuclear power plant (NPP) accident should be developed systematically and efficiently by applying an appropriate methodology. A systematic approach is applied in this study to select the appropriate method from different ...
Read More
The emergency preparedness and response (EPR) framework to a radiological emergency in a nuclear power plant (NPP) accident should be developed systematically and efficiently by applying an appropriate methodology. A systematic approach is applied in this study to select the appropriate method from different methodologies for developing EPR framework of a NPP accident by applying trade-off analysis. Ten evaluation criteria, namely causal analysis, decision making analysis, feedback analysis, interactive graphical analysis, nonlinear behavior analysis, organizational factor analysis, quantitative analysis, sensitivity analysis, statistical analysis, and threat analysis were identified for methodology selection by conducting requirement analysis of EPR framework. The system dynamics approach was found as the most capable and the best methodologies according to the trade-off analysis by considering the assigned criteria for EPR framework of a NPP accident. The analytic hierarchy process and the Bayesian belief network can also be applied in the EPR framework development process of NPP accident.
