This paper studies the relationship between optimal dynamic pricing for network goods and the coordination of consumers' adoption decisions. We show that based on risk dominance criterion, consumers face the risk of coordination failure, and introductory pricing is optimal if the risk is higher...

Precise demand forecasting and agile pricing strategies are crucial in modern business. This study aims to enhance these strategies by evaluating the efficacy of Holt-Winters Exponential Smoothing (HWES) and Autoregressive Integrated Moving Average (ARIMA) models. The study assesses their...

This paper studies the relationship between optimal dynamic pricing for network goods and the coordination of consumers' adoption decisions. We show that based on risk dominance criterion, consumers face the risk of coordination failure, and introductory pricing is optimal if the risk is higher...

In various sectors, such as retail, firms encounter customers with multiunit demand and often implement nonlinear pricing to accommodate this demand structure. While effective, this pricing strategy lacks the adaptability offered by dynamic pricing, a trend gaining significance in the retail...

Purpose This study aims to explore the impact of locational and seasonal factors on the financial performance of short-term rental properties in Margaret River, Western Australia. It seeks to address the gap in understanding how these factors influence key financial metrics such as average daily...

Time-varying prices are thought to be critical for increasing economic efficiency of the power system. However, a rigorous assessment of the evidence from field trials that use time-of-use pricing, critical peak pricing, etc. in households is missing. This machine learning-assisted systematic...

Linking decision systems, negotiating agents, management accounting, and computational accounting, this paper aims at exploring dynamic pricing strategies of a synthetic business-to-consumer online operation and a comparative analysis of evolving strategy-specific pricing optimization. Five...

The pricing of public transportation is a frequently debated subject, and a notable current trend is leaning towards flat-rate pricing. In the previous year, Germany introduced a flat-rate ticket, enabling individuals to access public transportation across the entire country for just 9 euros per...

In most major cities today, various shared mobility systems such as car or bike sharing exist. Maintaining these systems is challenging, and, thus, public and private providers strive to improve operational performance. An important metric which is regularly recorded and monitored in practice...

The pricing of public transportation is a frequently debated subject, and a notable current trend is leaning towards flat-rate pricing. In the previous year, Germany introduced a flat-rate ticket, enabling individuals to access public transportation across the entire country for just 9 euros per...

Nowadays, customers as well as retailers look for increased sustainability. Recommerce markets – which offer the opportunity to trade-in and resell used products – are constantly growing and help to use resources more efficiently. To manage the additional prices for the trade-in and the...

Abstract In most major cities today, various shared mobility systems such as car or bike sharing exist. Maintaining these systems is challenging, and, thus, public and private providers strive to improve operational performance. An important metric which is regularly recorded and monitored in...

In the challenging environment of attended home deliveries, pricing delivery options can play a crucial role to ensure profitability and service quality of retailers. To differentiate between standard and premium delivery options, many retailers include time windows of various lengths and fees...

Linking decision systems, negotiating agents, management accounting, and computational accounting, this paper aims at exploring dynamic pricing strategies of a synthetic business-to-consumer online operation and a comparative analysis of evolving strategy-specific pricing optimization. Five...

This paper is devoted to the development of heuristics for the dynamic pricing problem. A discrete time model of dynamic pricing on the fixed time horizon is proposed. It is applicable to products that satisfy two properties: 1) product value expires at a certain predetermined date, and 2)...

This paper is devoted to the development of heuristics for the dynamic pricing problem. A discrete time model of dynamic pricing on the fixed time horizon is proposed. It is applicable to products that satisfy two properties: 1) product value expires at a certain predetermined date, and 2)...

Algorithmen beeinflussen inzwischen nahezu jeden Bereich des täglichen Lebens. Davon umfasst ist im Besonderen die unternehmerische Preissetzung, die sowohl im Online- als auch im Offline-Geschäft zunehmend algorithmisch organisiert wird. Preissetzungsalgorithmen bieten den Unternehmen neue...

Grundlagen der Preiskommunikation -- Strategische Aspekte der Preiskommunikation -- Preisveränderungskommunikation -- Spezielle Herausforderungen und Anwendungsfelder der Preiskommunikation in B2B-Märkten -- Spezielle Herausforderungen und Anwendungsfelder der Preiskommunikation in...

Emerging tracking data allow precise predictions of individuals' reservation values. However, firms are reluctant to conspicuously implement personalized pricing because of concerns about consumer and regulatory reprisals. This paper proposes and applies a method which disguises personalized...

A seller with commitment power sets prices over time. Risk-averse buyers arrive to the market and decide when to purchase. We obtain that the optimal price path is a "regular" price, with occasional episodes of sequential discounts that occur at random times. The optimal price path has the...

Competition in the German gasoline retail market is characterized by strong intraday price cycles. The cycles are described in the literature as corresponding to the well-known Edgeworth cycles. Cyclical pricing patterns are observable all over Germany and throughout the world. So far, research...

Past reviews of studies concerning competitive pricing strategies lack a unifying approach to interdisciplinarily structure research across economics, marketing management, and operations. This academic void is especially unfortunate for online markets as they show much higher competitive...

Using data from a field experiment, we provide estimates for the own-price elasticity of train travel in Switzerland. Our estimates are based on exogenous changes to the level of discounts for long-distance trains and thus avoid the usual endogeneity problem between demand-dependent discounts....

Pricing technology that allows firms to rapidly adjust prices has two potential benefits. Prices can respond more rapidly to demand shocks, leading to higher revenues. On the other hand, time-varying prices can be used to smooth out demand across periods, reducing costs in markets with capacity...

Using data from a field experiment, we provide estimates for the own-price elasticity of train travel in Switzerland. Our estimates are based on exogenous changes to the level of discounts for long-distance trains and thus avoid the usual endogeneity problem between demand-dependent discounts....

A seller with commitment power sets prices over time. Risk-averse buyers arrive to the market and decide when to purchase. We obtain that the optimal price path is a "regular" price, with occasional episodes of sequential discounts that occur at random times. The optimal price path has the...

Emerging tracking data allow precise predictions of individuals' reservation values. However, firms are reluctant to conspicuously implement personalized pricing because of concerns about consumer and regulatory reprisals. This paper proposes and applies a method which disguises personalized...