Customer relationship management performance measurement using balanced scorecard and fuzzy analytic network process: The case of MAPNA group

被引:7
作者
Isfahani, Shahideh Nasery [1 ]
Haddad, Ahmad Asle [1 ]
Roghanian, Emad [1 ]
Rezayi, Mehdi [2 ]
机构
[1] KN Toosi Univ Technol, Dept Ind Engn, Tehran, Iran
[2] MAPNA Iran Power Plant Project Management Org, Dept R&D, Tehran, Iran
关键词
Customer relationship management; performance measurement; B2Borganizations; balanced scorecard; Fuzzy analytic network process; DERIVING PRIORITIES; PROCESS ANP; MODEL; AHP;
D O I
10.3233/IFS-131006
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The complexity of a competitive business environment and increased customer expectations has revealed the necessity of awareness from organizational strengths and weakness and continuous improvement of productivity. Thus, today's managers seek a comprehensive, reliable and flexible solution to evaluate their organizations' performances so that they will obtain accurate and sufficient information of their positions while ensuring the implementation of their own strategies, and will improve their organizations with a future-oriented view. This performance management research, specifically measures the customer relationship management (CRM) in business to business (B2B) area using balanced scorecard (BSC) for determination of CRM indicators and fuzzy analytic network process (FANP) to determine CRM indicators and sub-indicators in a case study on MAPNA organization in order to provide for a ground for CRM efficiency improvement in this organization.
引用
收藏
页码:377 / 389
页数:13
相关论文
共 26 条
[1]  
Bellman R. E., 1971, Decision-making in a fuzzy environment, DOI 10.1287/mnsc.17.4.B141
[2]  
Brewton J., 2003, Cost Management, V17, P5
[3]   A model for predicting customer value from perspectives of product attractiveness and marketing strategy [J].
Chan, S. L. ;
Ip, W. H. ;
Cho, V. .
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (02) :1207-1215
[4]   Evaluating attack helicopters by AHP based on linguistic variable weight [J].
Cheng, CH ;
Yang, KL ;
Hwang, CL .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1999, 116 (02) :423-435
[5]   A fuzzy analytic network process (ANP) model for measurement of the sectoral competititon level (SCL) [J].
Dagdeviren, Metin ;
Yuksel, Ihsan .
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (02) :1005-1014
[6]  
Jain R., 2003, J SERVICES RES, V2, P97
[7]   A fuzzy optimization model for QFD planning process using analytic network approach [J].
Kahraman, C ;
Ertay, T ;
Büyüközkan, G .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 171 (02) :390-411
[8]   Fuzzy group decision-making for facility location selection [J].
Kahraman, C ;
Ruan, D ;
Dogan, I .
INFORMATION SCIENCES, 2003, 157 (1-4) :135-153
[9]   Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows [J].
Kahraman, C ;
Ruan, D ;
Tolga, E .
INFORMATION SCIENCES, 2002, 142 (1-4) :57-76
[10]   A CRM performance measurement framework: Its development process and application [J].
Kim, Hyung-Su ;
Kim, Young-Gul .
INDUSTRIAL MARKETING MANAGEMENT, 2009, 38 (04) :477-489