Tugba Efendigil

Questrom School of Business, Boston University

A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches


Journal article


Majd Kharfan, Vicky Wing Kei Chan, Tugba Firdolas Efendigil
Annals of Operations Research, 2020

Semantic Scholar DBLP DOI
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APA   Click to copy
Kharfan, M., Chan, V. W. K., & Efendigil, T. F. (2020). A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches. Annals of Operations Research.


Chicago/Turabian   Click to copy
Kharfan, Majd, Vicky Wing Kei Chan, and Tugba Firdolas Efendigil. “A Data-Driven Forecasting Approach for Newly Launched Seasonal Products by Leveraging Machine-Learning Approaches.” Annals of Operations Research (2020).


MLA   Click to copy
Kharfan, Majd, et al. “A Data-Driven Forecasting Approach for Newly Launched Seasonal Products by Leveraging Machine-Learning Approaches.” Annals of Operations Research, 2020.


BibTeX   Click to copy

@article{majd2020a,
  title = {A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches},
  year = {2020},
  journal = {Annals of Operations Research},
  author = {Kharfan, Majd and Chan, Vicky Wing Kei and Efendigil, Tugba Firdolas}
}


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