Dynamic Pricing Model of Service-Oriented Educational Products Based on Revenue Management Article Swipe
As the economic environment changes, more and more loopholes appear in the actual application of traditional pricing methods. Existing methods cannot accurately predict changes in consumer demand and cannot accurately mine potential consumer demand. Existing methods cannot achieve the maximization of corporate profits, which has become a difficult problem for service-oriented corporate revenue management. This article mainly studies the pricing of service-oriented products in the context of revenue management. By studying and reviewing relevant literature on the dynamic pricing of service-oriented products, this article clarifies the characteristics of service-oriented products and several loopholes in the current pricing of service-oriented products. Based on the current research results of dynamic pricing at home and abroad, this article summarizes the influencing factors of dynamic pricing and establishes the dynamic pricing model of this article. This article selects the current hotspot and the reinforcement learning method that conforms to the multidimensional characteristics to solve the calculation of the model. Through analysis, the optimal state-action pair of the model in this article is obtained, and the optimal path of environment and behavior is formed to obtain the maximum profit.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2022/1478953
- https://downloads.hindawi.com/journals/mpe/2022/1478953.pdf
- OA Status
- hybrid
- Cited By
- 2
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4224940984
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4224940984Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2022/1478953Digital Object Identifier
- Title
-
Dynamic Pricing Model of Service-Oriented Educational Products Based on Revenue ManagementWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-04-26Full publication date if available
- Authors
-
Jing Zeng, Ling LinList of authors in order
- Landing page
-
https://doi.org/10.1155/2022/1478953Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/mpe/2022/1478953.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/mpe/2022/1478953.pdfDirect OA link when available
- Concepts
-
Dynamic pricing, Revenue management, Profit maximization, Revenue, Profit (economics), Computer science, Pricing strategies, Service (business), Maximization, Operations research, Business, Microeconomics, Marketing, Economics, Engineering, AccountingTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.home | 110 |
| abstract_inverted_index.mine | 30 |
| abstract_inverted_index.more | 5, 7 |
| abstract_inverted_index.pair | 160 |
| abstract_inverted_index.path | 172 |
| abstract_inverted_index.that | 142 |
| abstract_inverted_index.this | 82, 113, 129, 165 |
| abstract_inverted_index.Based | 100 |
| abstract_inverted_index.model | 127, 163 |
| abstract_inverted_index.solve | 149 |
| abstract_inverted_index.which | 43 |
| abstract_inverted_index.actual | 12 |
| abstract_inverted_index.appear | 9 |
| abstract_inverted_index.become | 45 |
| abstract_inverted_index.cannot | 20, 28, 36 |
| abstract_inverted_index.demand | 26 |
| abstract_inverted_index.formed | 178 |
| abstract_inverted_index.mainly | 56 |
| abstract_inverted_index.method | 141 |
| abstract_inverted_index.model. | 154 |
| abstract_inverted_index.obtain | 180 |
| abstract_inverted_index.Through | 155 |
| abstract_inverted_index.abroad, | 112 |
| abstract_inverted_index.achieve | 37 |
| abstract_inverted_index.article | 55, 83, 114, 132, 166 |
| abstract_inverted_index.changes | 23 |
| abstract_inverted_index.context | 65 |
| abstract_inverted_index.current | 95, 103, 135 |
| abstract_inverted_index.demand. | 33 |
| abstract_inverted_index.dynamic | 77, 107, 120, 125 |
| abstract_inverted_index.factors | 118 |
| abstract_inverted_index.hotspot | 136 |
| abstract_inverted_index.maximum | 182 |
| abstract_inverted_index.methods | 19, 35 |
| abstract_inverted_index.optimal | 158, 171 |
| abstract_inverted_index.predict | 22 |
| abstract_inverted_index.pricing | 16, 59, 78, 96, 108, 121, 126 |
| abstract_inverted_index.problem | 48 |
| abstract_inverted_index.profit. | 183 |
| abstract_inverted_index.results | 105 |
| abstract_inverted_index.revenue | 52, 67 |
| abstract_inverted_index.selects | 133 |
| abstract_inverted_index.several | 91 |
| abstract_inverted_index.studies | 57 |
| abstract_inverted_index.Existing | 18, 34 |
| abstract_inverted_index.article. | 130 |
| abstract_inverted_index.behavior | 176 |
| abstract_inverted_index.changes, | 4 |
| abstract_inverted_index.conforms | 143 |
| abstract_inverted_index.consumer | 25, 32 |
| abstract_inverted_index.economic | 2 |
| abstract_inverted_index.learning | 140 |
| abstract_inverted_index.methods. | 17 |
| abstract_inverted_index.products | 62, 89 |
| abstract_inverted_index.profits, | 42 |
| abstract_inverted_index.relevant | 73 |
| abstract_inverted_index.research | 104 |
| abstract_inverted_index.studying | 70 |
| abstract_inverted_index.analysis, | 156 |
| abstract_inverted_index.clarifies | 84 |
| abstract_inverted_index.corporate | 41, 51 |
| abstract_inverted_index.difficult | 47 |
| abstract_inverted_index.loopholes | 8, 92 |
| abstract_inverted_index.obtained, | 168 |
| abstract_inverted_index.potential | 31 |
| abstract_inverted_index.products, | 81 |
| abstract_inverted_index.products. | 99 |
| abstract_inverted_index.reviewing | 72 |
| abstract_inverted_index.accurately | 21, 29 |
| abstract_inverted_index.literature | 74 |
| abstract_inverted_index.summarizes | 115 |
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| abstract_inverted_index.calculation | 151 |
| abstract_inverted_index.environment | 3, 174 |
| abstract_inverted_index.establishes | 123 |
| abstract_inverted_index.influencing | 117 |
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| abstract_inverted_index.traditional | 15 |
| abstract_inverted_index.maximization | 39 |
| abstract_inverted_index.state-action | 159 |
| abstract_inverted_index.reinforcement | 139 |
| abstract_inverted_index.characteristics | 86, 147 |
| abstract_inverted_index.multidimensional | 146 |
| abstract_inverted_index.service-oriented | 50, 61, 80, 88, 98 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5082551962 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I4210154851 |
| citation_normalized_percentile.value | 0.60451888 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |