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Special issue on artificial intelligence/machine learning in travel

Special issue on artificial intelligence/machine learning in travel Journal of Revenue and Pricing Management (2021) 20:211–212 https://doi.org/10.1057/s41272-021-00307-0 EDITORIAL B. Vinod Published online: 13 March 2021 © The Author(s), under exclusive licence to Springer Nature Limited 2021 Over the past decade, Artificial Intelligence has proved efforts. Companies invest broadly across different platforms invaluable in a range of industry verticals such as auto- such as Google or Facebook, and it is important to under- motive and assembly, life sciences, retail, oil and gas, and stand the marginal impact of a specific marketing program travel. The leading sectors adopting AI rapidly are Finan- or initiative on revenue. He uses a novel approach by casting cial Services, Automotive and Assembly, High Tech and the well-known Koyck distributed lag model in state space Telecommunications. Travel has been slow in adoption, but form to analyze the effectiveness of each marketing channel the opportunity for generating incremental value for AI over and subsequent allocation of marketing budgets. other analytics is extremely high (Chui et al. 2018). The paper by Ravi Kumar, Wei Wang, Ahmed Simrin, In September 2019, Ian Yeoman and I discussed creat- Sivarama Krishnan Arunachalam and Bhaskar Rao Gun- ing a special issue for the Journal of Revenue and Pricing treddy and Darius Walczak http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Revenue and Pricing Management Springer Journals

Special issue on artificial intelligence/machine learning in travel

Vinod, B.
Journal of Revenue and Pricing Management , Volume 20 (3) – Mar 13, 2021
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Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature Limited 2021
ISSN
1476-6930
eISSN
1477-657X
DOI
10.1057/s41272-021-00307-0
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Abstract

Journal of Revenue and Pricing Management (2021) 20:211–212 https://doi.org/10.1057/s41272-021-00307-0 EDITORIAL B. Vinod Published online: 13 March 2021 © The Author(s), under exclusive licence to Springer Nature Limited 2021 Over the past decade, Artificial Intelligence has proved efforts. Companies invest broadly across different platforms invaluable in a range of industry verticals such as auto- such as Google or Facebook, and it is important to under- motive and assembly, life sciences, retail, oil and gas, and stand the marginal impact of a specific marketing program travel. The leading sectors adopting AI rapidly are Finan- or initiative on revenue. He uses a novel approach by casting cial Services, Automotive and Assembly, High Tech and the well-known Koyck distributed lag model in state space Telecommunications. Travel has been slow in adoption, but form to analyze the effectiveness of each marketing channel the opportunity for generating incremental value for AI over and subsequent allocation of marketing budgets. other analytics is extremely high (Chui et al. 2018). The paper by Ravi Kumar, Wei Wang, Ahmed Simrin, In September 2019, Ian Yeoman and I discussed creat- Sivarama Krishnan Arunachalam and Bhaskar Rao Gun- ing a special issue for the Journal of Revenue and Pricing treddy and Darius Walczak

Journal

Journal of Revenue and Pricing Management – Springer Journals

Published: Mar 13, 2021

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