Results 251 to 260 of about 876,911 (277)
Some of the next articles are maybe not open access.

Comparison of expected marginal revenue models in the hospitality industry

Journal of Revenue and Pricing Management, 2021
This paper focuses on the issue of revenue management models that are based on Littlewood's rule. The main aim of this paper is to compare the Expected Marginal Seat Revenue model in the two variants: EMSRa and EMSRb model. The whole application is made in the hospdels that are based on Littlewood's rule.
Martin Petříček   +2 more
openaire   +1 more source

The Impact of Revenue Diversification on Expected Revenue and Volatility for Nonprofit Organizations

Nonprofit and Voluntary Sector Quarterly, 2012
We investigate the relationship between revenue diversification and volatility for nonprofits. Modern portfolio theory suggests that more diversification reduces volatility at the expense of reduced expected revenue. We find that this relationship should not be taken for granted.
Walter J. Mayer   +3 more
openaire   +1 more source

Estimation and inference of seller’s expected revenue in first-price auctions

Journal of Econometrics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk

Management Science, 2023
When launching a new product, historical sales data are often not available, leaving price as a crucial experimental instrument for sellers to gauge market response. When designing pricing experiments, there are three fundamental objectives: estimating the causal effect of price (i.e., price elasticity), maximizing the expected revenue through the ...
David Simchi-Levi, Chonghuan Wang
openaire   +1 more source

A New Analysis of Expected Revenue

2009
We address the fundamental issue of revenue and efficiency in the combinatorial and simultaneous auction using a novel approach. Specifically, upper and lower bounds are constructed for the first-price sealed-bid setting of these two auctions. The question of revenue is important yet very few results can be found in the literature.
Arne Andersson, Jim Wilenius
openaire   +1 more source

A dynamic programming algorithm based on expected revenue approximation for the network revenue management problem

Transportation Research Part E: Logistics and Transportation Review, 2011
Since American Airlines successfully applied revenue management (RM) to raise its revenue, RM has become a common technique in the airline industry. Due to the current hub-and-spoke operation of the airline industry, the focus of RM research has shifted from the traditional single-leg problem to the network-type problem.
Kuancheng Huang, Yu-Tung Liang
openaire   +1 more source

Growing Seko expects 2018 revenue of €140mn

Pump Industry Analyst, 2018
Italian dosing pump maker Seko is expecting consolidated revenue of around €140 million this year.
openaire   +1 more source

Impact of Dependence Among Valuations on Expected Revenue in Auctions

American Journal of Mathematical and Management Sciences, 2015
This work studies the dependence and asymmetry among valuations in sealed-bid auctions with private valuations.
Rui Fang, Xiaohu Li, Rongfang Yan
openaire   +1 more source

Discovering highly expected utility itemsets for revenue prediction

Knowledge-Based Systems, 2016
Identifying patterns of items that are purchased frequently and generate high profits is crucial for inventory and profit management. However, neither approaches based on frequent itemsets nor those based on high-utility itemsets (HUIs) can meet this requirement alone.
openaire   +1 more source

Taxing Snack Foods: What to Expect for Diet and Tax Revenues

2004
Health researchers and health policy advocates have proposed levying excise taxes on snack foods as a possible way to address the growing prevalence of obesity and overweight in the United States. Some proposals suggest higher prices alone will change consumers' diets.
Kuchler, Fred   +5 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy