Customer’s recognition, classification, and selecting the target market are the most important success factors of a marketing system. ABC classification of the customers based on axiomatic design exposes the behavior of the customer in a logical way in each class. Quite often, missing data is a common occurrence and can have a significant effect on the decision- making problems. In this context, this proposed article determines the customer’s behavioral rule by incomplete rough set theory. Based on the proposed axiomatic design, the managers of a firm can map the rules on designed structures. This study demonstrates to identify the customers, determine their characteristics, and facilitate the development of a marketing strategy.
Mots-clés : ABC classification, axiomatic design, incomplete rough set
@article{RO_2018__52_4-5_1219_0,
author = {Gholami, Atena and Sheikh, Reza and Mizani, Neda and Sana, Shib Sankar},
title = {ABC analysis of the customers using axiomatic design and incomplete rough set},
journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
pages = {1219--1232},
publisher = {EDP-Sciences},
volume = {52},
number = {4-5},
year = {2018},
doi = {10.1051/ro/2018022},
zbl = {1411.90022},
language = {en},
url = {http://www.numdam.org/articles/10.1051/ro/2018022/}
}
TY - JOUR AU - Gholami, Atena AU - Sheikh, Reza AU - Mizani, Neda AU - Sana, Shib Sankar TI - ABC analysis of the customers using axiomatic design and incomplete rough set JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2018 SP - 1219 EP - 1232 VL - 52 IS - 4-5 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro/2018022/ DO - 10.1051/ro/2018022 LA - en ID - RO_2018__52_4-5_1219_0 ER -
%0 Journal Article %A Gholami, Atena %A Sheikh, Reza %A Mizani, Neda %A Sana, Shib Sankar %T ABC analysis of the customers using axiomatic design and incomplete rough set %J RAIRO - Operations Research - Recherche Opérationnelle %D 2018 %P 1219-1232 %V 52 %N 4-5 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro/2018022/ %R 10.1051/ro/2018022 %G en %F RO_2018__52_4-5_1219_0
Gholami, Atena; Sheikh, Reza; Mizani, Neda; Sana, Shib Sankar. ABC analysis of the customers using axiomatic design and incomplete rough set. RAIRO - Operations Research - Recherche Opérationnelle, Tome 52 (2018) no. 4-5, pp. 1219-1232. doi : 10.1051/ro/2018022. http://www.numdam.org/articles/10.1051/ro/2018022/
[1] , Practical Implementation of the 80–20 Principle in Business. SimaFore White Paper Series (2012) 102–112.
[2] , , , and , Critical processes of knowledge management: an approach toward the creation of customer value. Eur. Res. Manag. Bus. Econ. 23 (2017) 1–7. | DOI
[3] , Brand equity or double jeopardy. J. Prod. Brand Manag. 4 (1995) 26–32. | DOI
[4] , Brand loyalty – what, where, how much? Harv. Bus. Rev. 34 (1956) 116–128.
[5] , Rough set approach to incomplete numerical data. Inf. Sci. 241 (2013) 43–57. | DOI | MR | Zbl
[6] , and , Quantitative Marketing Models and Methods in Theory and Practice. Springer-Verlag, Heidelberg, Germany (2012). | DOI
[7] , Religious brand loyalty and political loyalties. J. Sci. Study Relig. 39 (2000) 78–90. | DOI
[8] , and , Developing buyer–seller relationships. J. Mark. 51 (1987) 11–27. | DOI
[9] , Why does brand loyalty vary over products? J. Mark. Res. 1 (1964) 9–14.
[10] , and , Customer satisfaction in hospitality industry: Middle East tourists at 3 star hotels in Malaysia. Res. J. Appl. Sci. Eng. Technol. 5 (2013) 4329–4335. | DOI
[11] , and , Handling missing values in rough set analysis of multi-attribute and multi-criteria decision problems. Lect. Notes Comput. Sci. 1711 (1999) 146–157. | DOI | Zbl
[12] , , and , Enhancing customer engagement through consciousness. J. Retail. 93 (2017) 55–64. | DOI
[13] , Rough set strategies to data with missing attribute values, in Foundations and Novel Approaches in Data Mining. Vol. 9 of Studies in Computational Intelligence. Springer-Verlag, Heidelberg (2003) 197–202.
[14] and , The dynamics of brand loyalty: a Markovian approach. Oper. Res. 10 (1962) 19–40. | DOI | Zbl
[15] , , , and , Putting the service-profit chain to work. Harv. Bus. Rev. 72 (1994) 164–174.
[16] and , Commitment-Led Marketing – The Key to Brand Profits is in the Customer’s Mind. John Wiley & Sons Ltd. (2000).
[17] and , Brand loyalty vs. repeat purchasing behavior. J. Mark. Res. 10 (1973) 1–9. | DOI
[18] and , Design of Pull/Kanban production control systems using axiomatic design principles. J. Ind. Eng. 18 (2007) 2–28.
[19] , Rough set approach to incomplete information systems. Inf. Sci. 112 (1998) 39–49. | DOI | MR | Zbl
[20] and , Determinants of mobile commerce customer loyalty in Malaysia. Proc. Soc. Behav. Sci. 224 (2016) 60–67. | DOI
[21] , After the sale is over… . Harv. Bus. Rev. 61 (1983) 87–93.
[22] , The development of brand loyalty: an experimental study. J. Mark. Res. 5 (1968) 13–19. | DOI
[23] , Whence consumer loyalty? J. Mark. 63 (1999) 33–44. | DOI
[24] , and , The axiomatic design of chessmate: a chess-playing robot. Proc. CIRP 53(2016) 231–236. | DOI
[25] , Rough sets. Int. J. Comput. Inf. Sci. 11 (1982) 341–356. | DOI | MR | Zbl
[26] , The one number you need to grow. Harv. Bus. Rev. 81 (2003) 46–55.
[27] and , Fuzzy rough relations. Glob. J. Pure Appl. Sci. Technol. 1 (2011) 10–17.
[28] , A factor analytical model of brand loyalty. J. Mark. Res. 5 (1968) 395–404. | DOI
[29] , Axiomatic Design – Advances and Applications. Massachusetts Institute of Technology, Oxford University Press, New York (2001) 239–298. Chapter 5.
[30] , The development of brand loyalty. J. Mark. Res. 1 (1964) 32–35. | DOI
[31] M. Usta, K. Berezina and C. Cobanoglu, The Impact of Hotel Attributes’ Satisfaction on Overall Guest Satisfaction, http://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1323&context=gradconf_hospitality.
[32] , Brand loyalty and market equilibrium. Mark. Sci. 10 (1991) 229–245. | DOI
[33] , and , A survey on rough-set theory and its applications. CAAI Trans. Intel. Technol. 1 (2016) 323–333. | DOI
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