paper-with-me

홈 › Papers

Spatial Competition on Psychological Pricing Strategies: Preliminary Evidence from an Online Marketplace

2024-11-12 · Magdalena Schindl, Felix Reichel

According zu Kadir et al. (2023) online marketplaces are used to buy and sell products and services, as well as to exchange money and data between users or the platform. Due to the large product selection, low costs and the ease of shopping without physical restrictions as well as the technical possibilities, online marketplaces have grown rapidly Kadir et al. (2023). Online marketplaces are also used in the consumer-to-consumer (C2C) sector and thus offer a broad user group a marketplace, for example for used products. This article focuses on Willhaben.at (2024), a leading C2C marketplace in Austria, as stated by Obersteiner, Schmied, and Pamperl (2023). The empirical analysis in this course essay centers around the offer ads of Woom Bikes, a standardised product which is sold on Willhaben. Through web scraping, a dataset of approximately 826 observations was created, focusing on mid-to-high price segment bicycles, which are characterized by price stability and uniformity as we claim. This analysis aims to create analyse ad listing prices through predictive models using willhaben product listing attributes and using the spatial distribution of one of the product attributes.

📄 PDF Abstract BibTeX arXiv:2411.07808

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

A Competition-based Pricing Strategy in Cloud Markets using Regret Minimization Techniques

2023-09-20 · S. Ghasemi, M. R. Meybodi, M. Dehghan, A. M. Rahmani

Cloud computing as a fairly new commercial paradigm, widely investigated by different researchers, already has a great range of challenges. Pricing is a major problem in Cloud computing marketplace; as providers are comp…

Cloud Computing

Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making

2016-11-30 · Gali Noti, Effi Levi, Yoav Kolumbus, Amit Daniely

A large body of work in behavioral fields attempts to develop models that describe the way people, as opposed to rational agents, make decisions. A recent Choice Prediction Competition (2015) challenged researchers to su…

BIG-bench Machine LearningDecision Making

Dynamic Pricing of Applications in Cloud Marketplaces using Game Theory

2023-09-20 · Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht-Fooladi, Amir Masoud Rahmani

The competitive nature of Cloud marketplaces as new concerns in delivery of services makes the pricing policies a crucial task for firms. so that, pricing strategies has recently attracted many researchers. Since game th…

Pricing Strategies for Different Accuracy Models from the Same Dataset Based on Generalized Hotelling's Law

2024-04-08 · Jie Liu, Tao Feng, Yan Jiang, Peizheng Wang 외

We consider a scenario where a seller possesses a dataset $D$ and trains it into models of varying accuracies for sale in the market. Due to the reproducibility of data, the dataset can be reused to train models with dif…

Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems

2026-03-05 · Emil Kragh Toft, Carolin Schmidt, Daniele Gammelli, Filipe Rodrigues arxiv

Autonomous Mobility-on-Demand (AMoD) systems promise to revolutionize urban transportation by providing affordable on-demand services to meet growing travel demand. However, realistic AMoD markets will be competitive, wi…

Reinforcement Learning