An Integrated Entropy/VIKOR Model for Customer Clustering in Targeted Marketing Model Design (Case Study: IoT Technology Services Companies)
Subject Areas :
Financial Accounting
Hossein Teimouri
1
,
Jalil Gharibi
2
,
Ali Hossein Zadeh
3
,
Alireza Pooya
4
1 - Department of Management, Torbate Heidarieh Branch, Islamic Azad University, Torbate Heidarieh, Iran
2 - Department of Management, Torbate Heidarieh Branch, Islamic Azad University, Torbate Heidarieh, Iran
3 - Department of Management, Torbate Heidarieh Branch, Islamic Azad University, Torbate Heidarieh, Iran
4 - Department of Management, Torbate Heidarieh Branch, Islamic Azad University, Torbate Heidarieh, Iran|Department of Management, Ferdowsi University, Mashahd, Iran
Received: 2020-03-11
Accepted : 2020-06-10
Published : 2021-10-01
Keywords:
References:
Tarokh, Mohammad Jafar;; Sharifian, Kobra, (2007), Application of Data Mining in Improving Customer Relationship, Scientific-Research Quarterly Journal of Industrial Management Studies, Volume 6, Number 17, Pages 153-181
Rezaei, Farzin; Ghaybdoost, Hamed, (2016), A study of the financial performance of the banking industry using the Vikor method. Quarterly Journal of Development and Transformation Management (Special Letter): 33-43.
Abyssinian Mania, Akbar et al., (2014). "Study of the role of relational marketing, sensory and supportive marketing in customer loyalty", Marketing Management, No. 24-56-78.
Tone, K., Toloo, M., Izadikhah, M., A modified slacks-based measure of efficiency in data envelopment analysis, European Journal of Operational Research, 2020, 287 (2), P. 560-571, Doi: 10.1016/j.ejor.2020.04.019.
Ali Heydari Buiki, Tahereh; Khademi Zare, Hassan, (2015), Development of Data Envelopment Analysis Method for Crediting Credit Customers of Banks, Journal of Modeling in Engineering, Vol. 13, No. 41, pp. 59-74
Gholami, Hossein (1398). Customer classification based on factors influencing their willingness to buy. Information Technology Management Studies.5 (20) .1-20.
Gholamian, Seyed Akbar, (1398). Using the data mining approach in customer clustering (Case study: Toloo Pakhsh Aftab Company). National Conference on Applied Research in Industrial Management and Engineering, Tehran, Rahnama Non-Profit Higher Education Institute,
Agah, M., Malekpoor, H., Bagheri, A., Investigating the Effect of Financial Constraints and Different Levels of Agency Cost on Investment Efficiency. Advances in Mathematical Finance and Applications, 2017, 2(4), P. 31-47. Doi: 10.22034/amfa.2017.536264
Dibachi, H., Behzadi, M.H., Izadikhah, M., Stochastic multiplicative DEA model for measuring the efficiency and ranking of DMUs under VRS technology, Indian Journal of Science and Technology, 2014, 7 (11), P. 1765–1773. Doi: 10.17485/ijst/2014/v7i11.19
Ghanbari, Ahmad; Ali Haroonabadi and Mahmoud Ghodratian, (2015) Identifying reputable customers in e-banking system by combining clustering and classification techniques and RFM characteristics, 3rd National Conference on Knowledge and Technology of Electrical, Computer and Mechanical Engineering of Iran, Tehran, Organizing Institute Sam Iranian Iranian Science and Technology-Based Development Conferences,
Dear, Javad; Qanatian, Alireza, (2016), Evaluation of performance of South Fars Power Generation Management Company using data envelopment analysis in the presence of undesirable databases and outputs. New Research in Mathematics 2 (6), 49-67.
Izadikhah, M., Farzipoor Saen, R., Ranking sustainable suppliers by context-dependent data envelopment analysis. Ann Oper Res, 2020, 293, P. 607–637, Doi: 10.1007/s10479-019-03370-4
Mashhadi, Massoud, (1389). Marketing Management, Tehran, Pouran Pajoohesh Publications
Homayoun Far, Mehdi; Goodarzvand Chegini, Mehrdad; Daneshvar, Amir, (1397), Prioritizing Green Supply Chain Suppliers Using Fuzzy MCDM Combined Approach. Operations research in its applications. 15 (2): 41-61
Izadikhah, Mohammad; Shamsi, Mohadeseh, (1398), Credit Ranking of Bank Legal Customers Using Improved Russell Model (Case Study: Legal Customers of Arak National Bank). New Research in Mathematics, 5 (22), 111-126.
Amiri, Maghsoud; Hadi Nejad, Farhad; Malek Khoyan, Shiva, (2017), Evaluation and prioritization of suppliers with a combined entropy approach, hierarchical analysis process and modified pramity (Case study: Utab Company). Operations research in its applications. 14 (4): 1-20
Azar, Adel; Mahdavi Rad, Alireza; Musa Khani, Morteza, (2015), Designing a Combined Data Mining Model and Multi-Criteria Decision Making (Case Study: Iran Statistics Subsidies Database). Operations research in its applications. 12 (1): 95-111
Ahn , J., Woodcock N., Wilson M. (2006). “Managing the Change from Marketing Planning to Customer Relationship Management”. Lomg Range Planning, 29, 675-683.
Azadnia, A. H., Saman, M. Z. M., Wong, K. Y., & Hemdi, A. R. (2011). Integration model of Fuzzy C means clustering algorithm and TOPSIS Method for Customer Lifetime Value Assessment. In Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on (pp. 16-20). IEEE
Rezaei, N., Elmi, Z., Behavioral Finance Models and Behavioral Biases in Stock Price Forecasting. Advances in Mathematical Finance and Applications, 2018, 3(4), P. 67-82. Doi: 10.22034/amfa.2019.576127.1118
Ansari, A., & Riasi, A. (2016). Customer clustering using a combination of fuzzy C-means and genetic algorithms. International Journal of Business and Management, 11(7), 59-66
Bose, I., & Chen, X. (2015). Detecting the migration of mobile service customers using fuzzy clustering. Information & Management, 52(2), 227-238
Chan, C., Chai, H., (2017), "Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer." Expert systems with applications 34,4: 2754-2762.
Fathian, M., Azhdari, E. (2017). Extracting Customer Behavior Pattern in a Telecom Company Using Temporal Fuzzy Clustering and Data Mining. Journal of Information Technology Management, 9(3), 549-570.
Hung, M., Gou S. (2017). “Estimating Customer Lifetime Value Based On RFM Analysis of Customer Purchase Behavior: Case Study, Procedia Computer Science”, Vol. 3,pp.57-63.
Lee, A., (2019). Black hole: A new heuristic optimization approach for data clustering. Information Sciences, 222, 175–184.
Tleis, M., Callieris, R., & Roma, R. (2017). Segmenting the organic food market in Lebanon: an application of k-means cluster analysis. British Food Journal, 119(7), 1423-1441
Hiziroglu, A., & Senbas, U. D. (2016). An Application of Fuzzy Clustering to Customer Portfolio Analysis in Automotive Industry. International Journal of Fuzzy System Applications (IJFSA), 5(2), 13-25.
Gholami, S., Karimiankakolaki, M., Ghobeyshavi, H., (2015), Developing Marketing Strategies Based On Risk Management by Using Dematel Technique, Social Sciences, vol 4.No.1.
Karbasi Yazdi, H., Mohammadian, M., Effect of Profitability Indices on the Capital Structure of Listed Companies in Tehran Stock Exchange. Advances in Mathematical Finance and Applications, 2017, 2(3), P. 1-11. Doi: 10.22034/amfa.2017.533085
Opricovic, S., & Tzeng, G-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.
Shannon CE., (1948), A mathematical theory of communication. Bell SystTech J; 27:379–423