Reference health
Man(ager Heuristics) vs. Machine (Learning): Automation for Prediction of Customer Value for Brick-and-Mortar Retailers
2 of 58 checkable references need attention · checked 2026-09-16
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
16 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
References needing attention
does not resolve to a known work10.1016/S0022-4359
does not resolve to a known work10.1509/jmkg.72.3.82
The 56 checked references that resolve
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“Counting Your Customers” One by One: A Hierarchical Bayes Extension to the Pareto/NBD Model
resolves10.1146/annurev-economics-080217-053433
Machine Learning Methods That Economists Should Know About
resolves10.1287/mksc.1090.0557
Positive Effects of Negative Publicity: When Negative Reviews Increase Sales
resolves10.1016/j.ijforecast.2018.09.003
Forecasting sales in the supply chain: Consumer analytics in the big data era
resolves10.1016/j.jbusres.2012.09.024
Data accuracy's impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees
resolves10.1016/j.ijresmar.2019.09.001
Retailing and retailing research in the age of big data analytics
resolves10.1287/mksc.1040.0098
“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model
resolves10.18637/jss.v033.i01
Regularization Paths for Generalized Linear Models via Coordinate Descent
resolves10.1509/jm.10.0537
Can Automated Group Recommender Systems Help Consumers Make Better Choices?
resolves10.1016/j.intmar.2020.04.002
Brave New World? On AI and the Management of Customer Relationships
resolves10.1177/0022243719866690
Large-Scale Cross-Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning
resolves10.5465/amj.2018.0172
Ecological Rationality: Fast-and-Frugal Heuristics for Managerial Decision Making under Uncertainty
resolves10.1016/j.ijresmar.2020.04.005
Machine learning and AI in marketing – Connecting computing power to human insights
resolves10.1371/journal.pone.0194889
Statistical and Machine Learning forecasting methods: Concerns and ways forward
resolves10.1016/j.ejor.2018.04.034
A machine learning framework for customer purchase prediction in the non-contractual setting
resolves10.1016/j.jbusres.2006.06.015
Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression
resolves10.3897/bdj.2.e1071.figure9a
Figure 9a from: Dikow T, Leon S (2014) Review of the genus Namadytes Hesse, 1969 (Insecta: Diptera: Mydidae: Syllegomydinae). Biodiversity Data Journal 2: e1071. https://doi.org/10.3897/BDJ.2.e1071
resolves10.1287/mksc.2018.1129
Dynamic Online Pricing with Incomplete Information Using Multiarmed Bandit Experiments
resolves10.1287/mksc.2015.0963
Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activity
resolves10.1509/jmkg.69.1.63.55511
Balancing Acquisition and Retention Resources to Maximize Customer Profitability
resolves10.1016/j.ijresmar.2020.09.002
Leveraging purchase regularity for predicting customer behavior the easy way
resolves10.1016/j.ijresmar.2011.05.003
Will the frog change into a prince? Predicting future customer profitability
resolves10.1016/j.jom.2010.11.009
Customization of the online purchase process in electronic retailing and customer satisfaction: An online field study
resolves10.1509/jmkg.68.4.106.42728
A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy
resolves10.1509/jmkr.44.4.579
Optimal Customer Relationship Management Using Bayesian Decision Theory: An Application for Customer Selection
resolves10.1016/j.jretconser.2019.02.019
A data-driven framework for predicting weather impact on high-volume low-margin retail products
resolves10.1038/s41467-019-14108-y
The role of artificial intelligence in achieving the Sustainable Development Goals
resolves10.1093/acprof:oso/9780199744282.003.0036
Instant Customer Base Analysis: Managerial Heuristics Often “Get It Right”
The 16 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref2
no DOI — not checkedRecency: Prediction with Smart Data
no DOI — not checkedCompanies Are Failing in Their Efforts to Become Data-Driven
no DOI — not checkedref12
no DOI — not checkedref22
no DOI — not checkedData Scientist: The Sexiest Job of the 21st Century
no DOI — not checkedref40
no DOI — not checkedref48
no DOI — not checkedH2O AutoML: Scalable Automatic Machine Learning
no DOI — not checkedClassification and Regression by randomForest
no DOI — not checkedref55
no DOI — not checkedBig Data: The Management Revolution. (cover story)
no DOI — not checkedref76
no DOI — not checkedref86
no DOI — not checkedref87
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