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Prescriptive analytics: Literature review and research challenges
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Prescriptive analytics: Literature review and research challenges

Lepenioti, Katerina ; Bousdekis, Alexandros ; Apostolou, Dimitris ; Mentzas, Gregoris

International journal of information management, 2020-02, Vol.50, p.57-70 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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Deep reinforcement learning with combinatorial actions spaces: An application to prescriptive maintenance
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Deep reinforcement learning with combinatorial actions spaces: An application to prescriptive maintenance

Goby, Niklas ; Brandt, Tobias ; Neumann, Dirk

Computers & industrial engineering, 2023-05, Vol.179, p.109165, Article 109165 [Periódico revisado por pares]

Elsevier Ltd

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PriMa: a prescriptive maintenance model for cyber-physical production systems
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PriMa: a prescriptive maintenance model for cyber-physical production systems

Ansari, Fazel ; Glawar, Robert ; Nemeth, Tanja

International journal of computer integrated manufacturing, 2019-05, Vol.32 (4-5), p.482-503 [Periódico revisado por pares]

Taylor & Francis

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Enhancing e-commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach
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Enhancing e-commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach

Feng, Yi ; Yin, Yunqiang ; Wang, Dujuan ; Ignatius, Joshua ; Cheng, T.C.E. ; Marra, Marianna ; Guo, Yihan

Journal of business research, 2024-11, Vol.184, p.114872, Article 114872 [Periódico revisado por pares]

Elsevier Inc

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5
Prescriptive multi-group networks: Humanoid service robots’ value co-creation and co-destruction potentials in apparel stores
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Prescriptive multi-group networks: Humanoid service robots’ value co-creation and co-destruction potentials in apparel stores

Song, Christina Soyoung

Journal of business research, 2024-10, Vol.183, p.114823, Article 114823 [Periódico revisado por pares]

Elsevier Inc

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6
Why you should stop predicting customer churn and start using uplift models
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Why you should stop predicting customer churn and start using uplift models

Devriendt, Floris ; Berrevoets, Jeroen ; Verbeke, Wouter

Information sciences, 2021-02, Vol.548, p.497-515 [Periódico revisado por pares]

Elsevier Inc

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7
Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies
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Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies

Sariyer, Gorkem ; Kumar Mangla, Sachin ; Chowdhury, Soumyadeb ; Erkan Sozen, Mert ; Kazancoglu, Yigit

Journal of business research, 2024-08, Vol.181, Article 114742 [Periódico revisado por pares]

Elsevier Inc

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8
Predict, then schedule: Prescriptive analytics approach for machine learning-enabled sequential clinical scheduling
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Predict, then schedule: Prescriptive analytics approach for machine learning-enabled sequential clinical scheduling

Salah, Haya ; Srinivas, Sharan

Computers & industrial engineering, 2022-07, Vol.169, p.108270, Article 108270 [Periódico revisado por pares]

Elsevier Ltd

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9
Early Predictions of Movie Success: The Who, What, and When of Profitability
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Early Predictions of Movie Success: The Who, What, and When of Profitability

Lash, Michael T. ; Zhao, Kang

Journal of management information systems, 2016-07, Vol.33 (3), p.874-903 [Periódico revisado por pares]

Routledge

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10
Stochastic dynamic vehicle routing in the light of prescriptive analytics: A review
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Stochastic dynamic vehicle routing in the light of prescriptive analytics: A review

Soeffker, Ninja ; Ulmer, Marlin W. ; Mattfeld, Dirk C.

European journal of operational research, 2022-05, Vol.298 (3), p.801-820 [Periódico revisado por pares]

Elsevier B.V

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