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OpenAlex topic

Customer churn and segmentation

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 734 works 31 author topics

Works

734 works

  1. Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks 2019
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.6%

    No abstract yet.

  2. Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research 2016
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.4%

    No abstract yet.

  3. Predicting Dropout Student An Application of Data Mining Methods in an Online Education Program 2014
    YÖKSİS OpenAlex top 10% OpenAlex 98.7%

    This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographi…

  4. Predicting Dropout Student An Application of Data Mining Methods in an Online Education Program 2014
    YÖKSİS OpenAlex top 10% OpenAlex 98.7%

    This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographi…

  5. Research challenges and opportunities in business analytics 2018
    OpenAlex top 1% OpenAlex 99.1%

    There are plenty of definitions proposed for business analytics – some of them focus on the scope/coverage/problem, some on the nature of the data, and some concentrate on the enabling methods and methodologies. The common denominator of all of these definitions is that business analytics is the encapsulation of all m…

  6. Using data mining techniques for profiling profitable hotel customers An application of RFM analysis 2016
    YÖKSİS SJR Q1 JCR Q3 OpenAlex top 1% OpenAlex 99.1%

    No abstract yet.

  7. Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis 2016
    YÖKSİS SJR Q1 JCR Q3 OpenAlex top 1% OpenAlex 99.1%

    No abstract yet.

  8. Applying Bayesian Belief Network approach to customer churn analysis A case study on the telecom industry of Turkey 2011
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.2%

    No abstract yet.

  9. Customer Perceived Value: The Development of a Multiple Item Scale in Hospitals 2007
    OpenAlex top 10% OpenAlex 94.7%

    DOAJ is a unique and extensive index of diverse open access journals from around the world, driven by a growing community, committed to ensuring quality content is freely available online for everyone.

  10. LRFMP model for customer segmentation in the grocery retail industry: a case study 2017
    YÖKSİS SJR Q2 JCR Q3 OpenAlex top 10% OpenAlex 98.2%

    Purpose The purpose of this paper is to propose a new RFM model called length, recency, frequency, monetary and periodicity (LRFMP) for classifying customers in the grocery retail industry; and to identify different customer segments in this industry based on the proposed model. Design/methodology/approach This study…

  11. LRFMP model for customer segmentation in the grocery retail industry: a case study 2017
    YÖKSİS SJR Q2 JCR Q3 OpenAlex top 10% OpenAlex 98.3%

    Purpose The purpose of this paper is to propose a new RFM model called length, recency, frequency, monetary and periodicity (LRFMP) for classifying customers in the grocery retail industry; and to identify different customer segments in this industry based on the proposed model. Design/methodology/approach This study…

  12. LRFMP model for customer segmentation in the grocery retail industry: a case study 2017
    YÖKSİS SJR Q2 JCR Q3 OpenAlex top 10% OpenAlex 98.3%

    Purpose The purpose of this paper is to propose a new RFM model called length, recency, frequency, monetary and periodicity (LRFMP) for classifying customers in the grocery retail industry; and to identify different customer segments in this industry based on the proposed model. Design/methodology/approach This study…

Academicians

31 academicians