Selecting Smart Strategies Based on Big Data Techniques and SPACE Matrix (FASE model)
Journal Title: Cumhuriyet Science journal - Year 2019, Vol 40, Issue 1
Abstract
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.
Authors and Affiliations
Mohammad Ali FARAJIAN, Shahriar MOHAMMADI, Bahram SADEGHI BIGHAM, Farhad SHAMS
Investigation of Antibacterial Properties of Mucus and Coelomic Fluid Obtained from Eisenia Fetida
In several researches it was found that earthworms are protected from the infective effects of many pathogen microorganisms, with which they live together, by their strong immune systems and secreted fluids; in addition,...
Lattice Energies for Groups 1 and 2 Halides from Absolute Hardness
In this work, we presented new empirical equations to calculate the lattice energy values of groups 1 and 2 halides based on absolute hardness values of cations and anions forming the ionic compound.In the given equati...
Comparison of Remote Sensing Classification Techniques for Water Body Detection: A Case Study in Atikhisar Dam Lake (Çanakkale)
Water resources management is one of the most important issues of today. Satellite remote sensing have been successfully used to detect the presence of water bodies. In this study, four remote sensing methods: (1) normal...
Predicting the Shear Strength of Fiber Reinforced Concrete Corbels Via Support Vector Machines
Precast corbels are commonly preferred structural members in industrial buildings. In this study, a novel application of support vector machines (SVM) is employed for the prediction of ultimate shear strength of fiber re...
Assessment of Gluten-Free Food Sourced Heavy Metal Accumulation for Celiac People
This paper shows an evaluation to the study of some heavy metals in certain gluten-free foods for celiac people marketed in Kayseri, Turkey. The concentration values of Cu, Mn, Co, Pb, Cr, Zn, Ni, Cd and Fe in eleven dif...