Pricing and data science: The tale of two accidentally parallel transitions

Accidentally parallel at the beginning, the transition to value-based pricing and transition to pricing data science have blended harmoniously, changing the pricing landscape. Using the marketing capability approach, I show that the introduction of pricing data science is costly and requires higher...

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প্রধান লেখক: Wallusch Jacek
বিন্যাস: প্রবন্ধ
ভাষা:English
প্রকাশিত: Sciendo 2023-04-01
মালা:Economics and Business Review
বিষয়গুলি:
অনলাইন ব্যবহার করুন:https://doi.org/10.18559/ebr.2023.2.739
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author Wallusch Jacek
author_facet Wallusch Jacek
author_sort Wallusch Jacek
collection DOAJ
description Accidentally parallel at the beginning, the transition to value-based pricing and transition to pricing data science have blended harmoniously, changing the pricing landscape. Using the marketing capability approach, I show that the introduction of pricing data science is costly and requires higher management support. Despite its cost, algorithmic price optimisation allows one to react swiftly to changes in demand. The optimisation process is applied to inherently non-linear, multimodal, and right-skewed pricing data. Presenting the interactions between new computational techniques and value-data pricing, I concentrate on altered perceptions of price elasticity, value-driver estimations, and contract opportunity analysis.
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spelling doaj.art-4aadcf1949774f1fa9bd6d007505a2b62023-08-01T05:16:09ZengSciendoEconomics and Business Review2450-00972023-04-019211513210.18559/ebr.2023.2.739Pricing and data science: The tale of two accidentally parallel transitionsWallusch Jacek01Instytut Kliometrii i Badań nad Transformacją, ul. Nałęczowska 85, 60-472Poznań, PolandAccidentally parallel at the beginning, the transition to value-based pricing and transition to pricing data science have blended harmoniously, changing the pricing landscape. Using the marketing capability approach, I show that the introduction of pricing data science is costly and requires higher management support. Despite its cost, algorithmic price optimisation allows one to react swiftly to changes in demand. The optimisation process is applied to inherently non-linear, multimodal, and right-skewed pricing data. Presenting the interactions between new computational techniques and value-data pricing, I concentrate on altered perceptions of price elasticity, value-driver estimations, and contract opportunity analysis.https://doi.org/10.18559/ebr.2023.2.739pricingvalue-based pricingmachine learningdata sciencel11c81m31
spellingShingle Wallusch Jacek
Pricing and data science: The tale of two accidentally parallel transitions
Economics and Business Review
pricing
value-based pricing
machine learning
data science
l11
c81
m31
title Pricing and data science: The tale of two accidentally parallel transitions
title_full Pricing and data science: The tale of two accidentally parallel transitions
title_fullStr Pricing and data science: The tale of two accidentally parallel transitions
title_full_unstemmed Pricing and data science: The tale of two accidentally parallel transitions
title_short Pricing and data science: The tale of two accidentally parallel transitions
title_sort pricing and data science the tale of two accidentally parallel transitions
topic pricing
value-based pricing
machine learning
data science
l11
c81
m31
url https://doi.org/10.18559/ebr.2023.2.739
work_keys_str_mv AT walluschjacek pricinganddatasciencethetaleoftwoaccidentallyparalleltransitions