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Journal of Revenue and Pricing Management最新文献

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Enhanced demand forecasting by combining analytical models and machine learning models 结合分析模型和机器学习模型，加强需求预测
IF 1.6
Journal of Revenue and Pricing Management Pub Date : 2024-08-30 DOI: 10.1057/s41272-024-00490-w
Simon Nanty, Thomas Fiig, Ludovic Zannier, Michael Defoin-Platel
{"title":"Enhanced demand forecasting by combining analytical models and machine learning models","authors":"Simon Nanty, Thomas Fiig, Ludovic Zannier, Michael Defoin-Platel","doi":"10.1057/s41272-024-00490-w","DOIUrl":"https://doi.org/10.1057/s41272-024-00490-w","url":null,"abstract":"<p>Analytical models (AM) and machine learning (ML) models are often considered to be at opposite ends of the modeling spectrum. AM are closed form expressions based on first principles which require deep domain knowledge and are difficult to construct but can extrapolate to unseen data and are data-efficient and interpretable. At the other end, ML models require little or no domain knowledge to construct, are flexible, and can provide superior accuracy in data-rich environments, but cannot extrapolate, are data-inefficient and are black boxes. We investigate how to consolidate these opposite views to obtain the best of both worlds in the context of airline demand forecasting. We leverage on an existing AM baseline and employ deep learning-based ML models as correctional multiplicative factors. This approach provides a transparent, interpretable hybrid model with a forecast accuracy outperforming both pure AM and pure ML models.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"58 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fresh product supply chain coordination using vendor managed inventory and consignment with revenue sharing over a finite planning horizon 在有限的规划期限内，利用供应商管理库存和寄售以及收入共享来协调生鲜产品供应链
IF 1.6
Journal of Revenue and Pricing Management Pub Date : 2024-08-23 DOI: 10.1057/s41272-024-00496-4
Winda Narulidea, Ahmad Rusdiansyah, Sri Gunani Partiwi
{"title":"Fresh product supply chain coordination using vendor managed inventory and consignment with revenue sharing over a finite planning horizon","authors":"Winda Narulidea, Ahmad Rusdiansyah, Sri Gunani Partiwi","doi":"10.1057/s41272-024-00496-4","DOIUrl":"https://doi.org/10.1057/s41272-024-00496-4","url":null,"abstract":"<p>Selling fresh food products can be challenging due to their perishability, which often results in significant losses. To address this issue and maximize profits, we have developed a contract that takes into account the costs of investing in preservation technology over a finite planning horizon. The arrangements incentivize the supplier and the retailer to establish coordination and determine not only the optimal price and schedule for replenishment but also the optimal investment required in preservation technology. We investigate the effectiveness of vendor managed inventory (VMI) and consignment with revenue-sharing models through an analysis of pricing and inventory decisions, followed by evaluating the channel performance and the distribution of profits. Contract parameters are defined under the equilibrium state to achieve advantageous relationships among supply chain partners by improving profits for both channel members. The finding shows that a VMI and consignment mechanism with a side payment arrangement could help coordinate channels in a non-cooperative setting. Still, performing the contract is easier in a cooperative setting. Both members could achieve optimal decisions for the wide-channel system without any additional payments, leading to increased profitability for all supply chain members. In an alternative approach, the retailer has the option to offer a subsidy alongside the revenue-sharing-only trading terms within a VMI and consignment by incorporating a generalized revenue-sharing scheme to facilitate coordination with the supplier.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"5 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Transfer learning to scale deep Q networks in the context of airline pricing 在航空定价背景下利用迁移学习扩展深度 Q 网络
IF 1.6
Journal of Revenue and Pricing Management Pub Date : 2024-08-10 DOI: 10.1057/s41272-024-00493-7
Sharath Nataraj, Jeswin Varghese, R Adarsh, Aparna Muralidhar, Ebin Joseph, Ranjith Menon, Dieter Westermann
{"title":"Transfer learning to scale deep Q networks in the context of airline pricing","authors":"Sharath Nataraj, Jeswin Varghese, R Adarsh, Aparna Muralidhar, Ebin Joseph, Ranjith Menon, Dieter Westermann","doi":"10.1057/s41272-024-00493-7","DOIUrl":"https://doi.org/10.1057/s41272-024-00493-7","url":null,"abstract":"<p>Dynamic Airline ticket pricing is a complex process, wherein airlines determine the best price for varied business contexts that encapsulate several factors. While most airlines use traditional revenue management (RM) systems to do this, studies have shown that deep reinforcement learning (DRL) models could maximize revenue by expanding price discovery. However, scaling these models to all routes of an airline would be cost-intensive. To help address this issue, we propose the application of transfer learning to share the knowledge gained from DRL, between similar routes, potentially helping airlines inch closer to putting a DRL-based pricing-model in production.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"23 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141931495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Integrating price volatility into revenue management: exploring the tradeoff between price fluctuations and strategic consumers 将价格波动纳入收入管理：探索价格波动与战略消费者之间的权衡之道
IF 1.6
Journal of Revenue and Pricing Management Pub Date : 2024-08-06 DOI: 10.1057/s41272-024-00498-2
Chiara Morlotti, Benny Mantin
{"title":"Integrating price volatility into revenue management: exploring the tradeoff between price fluctuations and strategic consumers","authors":"Chiara Morlotti, Benny Mantin","doi":"10.1057/s41272-024-00498-2","DOIUrl":"https://doi.org/10.1057/s41272-024-00498-2","url":null,"abstract":"<p>Price fluctuations largely influence consumers’ purchasing behavior in two opposite directions: they affect price sensitivity and the acceptable price ranges, while favoring consumers to exhibit strategic behavior by waiting for prices to come back down. Firms selling revenue-managed goods can exploit this tradeoff to efficiently implement revenue management practices. We illustrate how to incorporate price volatility into the classic Expected Marginal Seat Revenue model. Our results reveal that, in certain market conditions, such integration could result in a significant increase in revenue. We further provide guidance to support pricing decisions when faced with the price sensitivity—strategic consumers tradeoff.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"57 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141931492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tackling no-shows in fine dining: insights into cancellation policies and consumer awareness campaigns 解决高档餐饮中的 "爽约 "问题：对取消政策和提高消费者意识活动的见解
IF 1.6
Journal of Revenue and Pricing Management Pub Date : 2024-08-06 DOI: 10.1057/s41272-024-00499-1
Esther L. Kim, Jason Tang
{"title":"Tackling no-shows in fine dining: insights into cancellation policies and consumer awareness campaigns","authors":"Esther L. Kim, Jason Tang","doi":"10.1057/s41272-024-00499-1","DOIUrl":"https://doi.org/10.1057/s41272-024-00499-1","url":null,"abstract":"<p>This research aims to identify how fine dining restaurants can effectively implement reservation cancellation policies to address the issue of no-shows by applying equity theory, the dual entitlement principle, and social cognitive theory. Two experiments identified cancellation policy elements that influence restaurant evaluations and reservation behaviors. Findings revealed that cancellation policies negatively influence restaurant evaluations, and that policy strictness and awareness can attenuate this relationship via perceived fairness while enhancing the likelihood to book reservations and honor reservations. This research suggests that restaurants can benefit from implementing lenient cancellation policies and introducing awareness of the adverse impact of no-shows to customers.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"127 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141931494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stochastic optimal pricing for retail electricity considering demand response, renewable energy sources and environmental effects 考虑需求响应、可再生能源和环境影响的零售电力随机优化定价
IF 1.6
Journal of Revenue and Pricing Management Pub Date : 2024-07-23 DOI: 10.1057/s41272-024-00492-8
Morteza Neishaboori, Alireza Arshadi Khamseh, Abolfazl Mirzazadeh, Mostafa Esmaeeli, Hamed Davari Ardakani
{"title":"Stochastic optimal pricing for retail electricity considering demand response, renewable energy sources and environmental effects","authors":"Morteza Neishaboori, Alireza Arshadi Khamseh, Abolfazl Mirzazadeh, Mostafa Esmaeeli, Hamed Davari Ardakani","doi":"10.1057/s41272-024-00492-8","DOIUrl":"https://doi.org/10.1057/s41272-024-00492-8","url":null,"abstract":"<p>Economic exploitation of power systems has always been significant in the electricity industry. However, after restructuring the systems above and separating different sectors of this industry into independent enterprises, economic profitability became twice as important. In this paper, the issue of electricity pricing is examined from a retailer’s point of view. The retailer supplies electricity from various sources, including the electricity market, bilateral contracts, and renewable sources, and then tries to sell it to customers at the optimal price. Here, the objective function combines expected profit and the conditional value at risk as a risk measure. Because of demand responsiveness, the retailer can use pricing tools to manage customer demand. Besides customer demand, the electricity market price and power generation of renewable energy sources are stochastic, and the advantage of the chance-constrained programming approach is taken to cover the power balance risk. Eventually, a hybrid chance-constrained and scenario-based method is proposed to model the retail electricity pricing problem based on fixed and real-time pricing policies. Furthermore, the energy storage system is considered a tool to increase the expected profit and control environmental effects; pollution costs are considered for electricity supplied from non-renewable sources. The proposed model maximizes profit and reduces environmental effects by considering pollution costs. To show the effectiveness of the proposed model, a numerical example is presented and solved. Results show that profit is maximized by determining each source’s optimal selling price and power. Meanwhile, the energy storage system simultaneously increases this profit.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"69 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141782332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Addressing complex seasonal patterns in hotel forecasting: a comparative study 应对酒店预测中的复杂季节模式：一项比较研究
IF 1.6
Journal of Revenue and Pricing Management Pub Date : 2024-07-05 DOI: 10.1057/s41272-024-00494-6
Apostolos Ampountolas
{"title":"Addressing complex seasonal patterns in hotel forecasting: a comparative study","authors":"Apostolos Ampountolas","doi":"10.1057/s41272-024-00494-6","DOIUrl":"https://doi.org/10.1057/s41272-024-00494-6","url":null,"abstract":"<p>Accurately forecasting demand poses challenges for revenue managers, especially amid supply and demand uncertainties increased by the recent global pandemic. In addition, demand forecasting is particularly challenging in the hotel industry due to anomalous days and repeating seasonal patterns. This study investigates techniques like TBATS, MSTL, and STL Decomposition against Linear Regression in hotel demand time series analysis, focusing on daily occupancy and average daily rate seasonalities. Using a 5-year dataset from an Upper Upscale branded property, the study employs in-sample data for model development and a rolling window approach for testing. Results highlight the robust performance of TBATS and MSTL across different forecasting horizons, consistently outperforming Seasonal-Trend Decomposition (STLF) and linear regression, providing insights crucial for revenue optimization and strategic decision-making in the hotel industry.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"13 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141550351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimization of travel subscription use 优化旅行套餐的使用
IF 1.6
Journal of Revenue and Pricing Management Pub Date : 2024-06-04 DOI: 10.1057/s41272-024-00488-4
Jiang Jiang, Chris K. Anderson
{"title":"Optimization of travel subscription use","authors":"Jiang Jiang, Chris K. Anderson","doi":"10.1057/s41272-024-00488-4","DOIUrl":"https://doi.org/10.1057/s41272-024-00488-4","url":null,"abstract":"<p>Subscription models where consumers pay fixed (monthly) fees for access to services are becoming increasingly popular across a wider set of service offerings as firms look for ways to stabilize revenues. Lodging subscription services are natural and flexible extensions of timeshare models whereby consumers pay monthly subscriptions fees to get access to a wide variety of stay options. The value of the subscription service may be difficult for consumers to evaluate and hence limit adoption. This study demonstrates that service providers can assist consumers in maximizing use of their subscription through addition of simple sort functionality or via more robust optimization approaches. Using synthetic data as well as data from a lodging subscription provider, we develop approaches for consumers to maximize their use of the subscription service - we compare and contrast optimal approaches to readily deployed heuristic approaches.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"14 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141254469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Group-constrained assortment optimization under the multinomial logit model 多二项Logit模型下的集团约束分类优化
IF 1.6
Journal of Revenue and Pricing Management Pub Date : 2024-05-27 DOI: 10.1057/s41272-024-00486-6
Julia Heger, Robert Klein
{"title":"Group-constrained assortment optimization under the multinomial logit model","authors":"Julia Heger, Robert Klein","doi":"10.1057/s41272-024-00486-6","DOIUrl":"https://doi.org/10.1057/s41272-024-00486-6","url":null,"abstract":"<p>We study an assortment problem under the multinomial logit model with two new types of group constraints that are motivated by a joint project with the German car manufacturer BMW. Under group constraints, products are either attributed to exactly one group or to several groups at once and there is either a bound on the number of products offered per group or on the number of groups from which products are offered. We formulate both optimization problems as binary fractional linear program and provide reformulations that can be solved using state-of-the-art solvers. Finally, we conduct a numerical study and find that all instances of the products-per-group constrained problem as well as small to medium size instances of the number-of-offered-groups constrained problem can be solved within fractions of a second, whereas large instances of the latter problem might take some seconds to be solved.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"68 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141172716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
What is the future of competitive revenue management in the travel industry? 旅游业竞争性收入管理的未来是什么？
IF 1.6
Journal of Revenue and Pricing Management Pub Date : 2024-05-25 DOI: 10.1057/s41272-024-00489-3
B. Vinod
{"title":"What is the future of competitive revenue management in the travel industry?","authors":"B. Vinod","doi":"10.1057/s41272-024-00489-3","DOIUrl":"https://doi.org/10.1057/s41272-024-00489-3","url":null,"abstract":"<p>Competitive Revenue Management has been practiced in the airline and hotel travel verticals for over two decades. Leveraging the selling fares and rates of competitors as input into the revenue management systems improves inventory control recommendations that is reflective of prevailing market conditions. Recently, several class action lawsuits have appeared against casino-hotel operators who use automated revenue management software to recommend the best available rates. This has attracted the attention of the Department of Justice and the Federal Trade Commission who are investigating anti-competitive practices of casino-hotel operators. While Competitive Revenue Management is an established business process in the travel industry, this brings up the issue of the future of this revenue management practice in travel.</p>","PeriodicalId":46686,"journal":{"name":"Journal of Revenue and Pricing Management","volume":"18 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141152001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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