 A business process decision model for client evaluation using fuzzy AHP and TOPSISKhine Mi Mi Hmu Tin and Henry Lau International Journal of Industrial and Systems Engineering, 2020, vol. 35, issue 1, 57-79 Abstract: Customer selection is one of multi-criteria decision-making problems and is of strategic importance for most companies. The purpose of this paper is to develop a business process decision model to assess the potential and profitable customers in order to select the best performing customers using a digital marketing (DM) company's customer data and create multiple selection criterions from them. The existing problem in most business firms is the challenges in choosing a proper model which can be accurately assessed their customer performances. The proposed models in this study can provide a better insight for planning and implementing to gain competitive advantage in this area. This study proposes two multi-criteria decision making (MCDM) techniques, fuzzy analytical hierarchy process (FAHP) and technique for order of preference by similarity to ideal solution (TOPSIS), and apply these methods to analyse customer performance in a digital marketing company. Keywords: business process decision model; case study; fuzzy analytical hierarchy process; FAHP; technique for order of preference by similarity to ideal solution; TOPSIS; customer selection criteria. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:35:y:2020:i:1:p:57-79 Access Statistics for this article More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd |
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