Selecting Smart Strategies Based on Big Data Techniques and SPACE Matrix (FASE model)
Main Author: | Mohammad Ali FARAJIAN, Shahriar MOHAMMADI, Bahram Sadeghi BIGHAM, Farhad SHAMS |
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Format: | Article |
Bahasa: | eng |
Terbitan: |
, 2019
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Subjects: | |
Online Access: |
https://zenodo.org/record/3783817 |
Daftar Isi:
- One of the most important questions for managers of corporations is how they select a smart strategy for their corporations. To answer this question, Managers should consider some dimensions witch impact on the future of the corporation, and then they select a suitable strategy for their corporations. This paper presents a novel model (FASE model) for evaluating strategic position and choosing smart strategy based on Big Data techniques and SPACE matrix. In order to achieve the best position in the market, FASE model facilitates selecting the best strategy among: aggressive, conservative, defensive, and competitive strategies. FASE model consists of three main processes namely Fuzzy-Cmeans, Apriori association rule inducer, SPACE matrix. Fuzzy-Cmeans algorithm is used for clustering customers based on RFM values and behavioral scoring. The results of the clustering were then profiled on customers’ attributes using Apriori association rule inducer. A SPACE matrix was used to evaluate the strategic position and to choose smart strategy. To get a better understanding of the FASE model, the banking case has been selected and FASE model is applied over that.