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Identifying high-value airlines customers for strategies of online marketing systems

https://doi.org/10.1108/k-12-2016-0348
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/widm.1084openalex-snapshot
Applying data mining on customer relationship management system for leisure coffee‐shop industry: a case study in Taiwan
inferredcites →https://doi.org/10.1007/978-3-319-20910-4_3openalex-snapshot
Retail Store Segmentation for Target Marketing
inferredcites →https://doi.org/10.1016/j.elerap.2006.04.006openalex-snapshot
Comparison of product bundling strategies on different online shopping behaviors
inferredcites →https://doi.org/10.1016/j.eswa.2008.04.003openalex-snapshot
Classifying the segmentation of customer value via RFM model and RS theory
inferredcites →https://doi.org/10.1016/j.eswa.2010.07.097openalex-snapshot
To mine association rules of customer values via a data mining procedure with improved model: An empirical case study
inferredcites →https://doi.org/10.1016/j.eswa.2011.09.034openalex-snapshot
Segmentation of telecom customers based on customer value by decision tree model
inferredcites →https://doi.org/10.1016/j.ipm.2016.05.003openalex-snapshot
A rough set-based association rule approach for a recommendation system for online consumers
inferredcites →https://doi.org/10.1016/j.jairtraman.2007.07.001openalex-snapshot
Managing valuable Taiwanese airline passengers using knowledge discovery in database techniques
inferredcites →https://doi.org/10.1016/j.jbusres.2006.06.015openalex-snapshot
Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression
inferredcites →https://doi.org/10.1057/palgrave.dbm.3240216openalex-snapshot
A method for customer lifetime value ranking — Combining the analytic hierarchy process and clustering analysis
inferredcites →https://doi.org/10.1057/palgrave.jdm.3240019openalex-snapshot
Thoughts on RFM scoring
inferredcites →https://doi.org/10.1080/00207543.2016.1231429openalex-snapshot
Discovering customer value for marketing systems: an empirical case study
inferredcites →https://doi.org/10.1080/02642069.2014.939643openalex-snapshot
Analyzing systemic customer value in scalable business services
inferredcites →https://doi.org/10.1108/00251740510589733openalex-snapshot
Customer‐based corporate valuation
inferredcites →https://doi.org/10.1108/10662241111158326openalex-snapshot
The effect of channel quality inconsistency on the association between e‐service quality and customer relationships
inferredcites →https://doi.org/10.1108/10662241211271572openalex-snapshot
To establish online shoppers’ markets and rules for dynamic CRM systems
inferredcites →https://doi.org/10.1108/17260531311309143openalex-snapshot
Redefining customer value in lean product development design projects
inferredcites →https://doi.org/10.1108/k-07-2015-0180openalex-snapshot
Performance evaluation of different customer segmentation approaches based on RFM and demographics analysis
inferredcites →https://doi.org/10.1109/5.58325openalex-snapshot
The self-organizing map
inferredcites →https://doi.org/10.1109/icpca.2007.4365419openalex-snapshot
The Application of Improved Association Rules Data Mining Algorithm Apriori in CRM
inferredcites →https://doi.org/10.1145/170035.170072openalex-snapshot
Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1145/170036.170072openalex-snapshot
Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1179/1942787514y.0000000014openalex-snapshot
Applying data mining with a new model on customer relationship management systems: a case of airline industry in Taiwan
inferredcites →https://doi.org/10.1509/jmkr.2005.42.4.415openalex-snapshot
RFM and CLV: Using Iso-Value Curves for Customer Base Analysis
inferredcites →https://doi.org/10.4018/ijisss.2015040105openalex-snapshot
A Fuzzy ANP Based Weighted RFM Model for Customer Segmentation in Auto Insurance Sector
inferredcites →https://doi.org/10.5267/j.msl.2014.3.026openalex-snapshot
Measuring customer loyalty using an extended RFM and clustering technique
inferredcites →https://doi.org/10.7748/nr.12.1.82.s2openalex-snapshot
Research design: qualitative, quantitative and mixed methods approachesResearch design: qualitative, quantitative and mixed methods approaches Creswell John W Sage 320 £29 0761924426 0761924426

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Exploring Relations Between New Institutional Economics and International Business: Addressing the Air Transport Industry
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Heterogeneous Item Recommendation for the Air Travel Industry
inferred← citeshttps://doi.org/10.1007/s44196-024-00675-6openalex-snapshot
Application and Empirical Analysis of Fuzzy Neural Networks in Mining Social Media Users’ Behavioral Characteristics and Formulating Accurate Online Marketing Strategies
inferred← citeshttps://doi.org/10.1108/imr-01-2021-0036openalex-snapshot
A structured literature review on Big Data for customer relationship management (CRM): toward a future agenda in international marketing
inferred← citeshttps://doi.org/10.1108/k-11-2020-0778openalex-snapshot
Quality factors and performance outcome of cloud-based marketing system
inferred← citeshttps://doi.org/10.1109/access.2020.2992064openalex-snapshot
A Combined Approach for Customer Profiling in Video on Demand Services Using Clustering and Association Rule Mining
inferred← citeshttps://doi.org/10.1109/icera53111.2021.9538635openalex-snapshot
Building a Weighted Performance Indicator Concept utilized The Respondent’s Opinion Approach
inferred← citeshttps://doi.org/10.1109/wi.2018.00-53openalex-snapshot
Current Applications of Machine Learning Techniques in CRM: A Literature Review and Practical Implications
inferred← citeshttps://doi.org/10.1142/s0219649222500174openalex-snapshot
Applications of Machine Learning in Knowledge Management System: A Comprehensive Review
inferred← citeshttps://doi.org/10.17951/h.2024.58.3.181-202openalex-snapshot
Recent Trends of Customer Relationship Management in AI: A Scientometric Analysis
inferred← citeshttps://doi.org/10.3233/web-200429openalex-snapshot
A literature review of the current applications of machine learning and their practical implications
inferred← citeshttps://doi.org/10.4018/ijssmet.2020040101openalex-snapshot
Identification of Telecom Volatile Customers Using a Particle Swarm Optimized K-Means Clustering on Their Personality Traits Analysis
inferred← citeshttps://doi.org/10.4102/ac.v19i2.647openalex-snapshot
Examining the role of knowledge management and technology operating capabilities in the development of customer-centric organisational systems
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