Revenue management in restaurants: the role of customers’ suspicion of price increases

Author(s):  
Christina Herrera ◽  
Cheri A. Young
2020 ◽  
Vol 12 (8) ◽  
pp. 3477
Author(s):  
Kwangji Kim ◽  
Mi-Jung Kim ◽  
Jae-Kyoon Jun

When competitive small restaurants have queues in peak periods, they lack strategies to cope. However, few studies have examined small restaurants’ revenue management strategies at peak times. This research examines how such small restaurants in South Korea can improve their profitability by adapting their price increases, table mix, and the equilibrium points of the utilization rates, and reports the following findings based on the analysis of two studies. In Study 1, improving profitability by increasing prices should carefully consider the magnitude and timing. In Study 2, when implementing the table mix strategy, seat occupancy and profit also increase, and we further find the equilibrium points of the utilization rates. Under a queuing system, the utilization rate and average waiting time are also identified as having a trade-off relationship. The results provide insights into how managers of small restaurants with queues can develop efficient revenue management strategies to manage peak hours.


2011 ◽  
pp. 17-28 ◽  
Author(s):  
Sheryl E. Kimes ◽  
Leo M. Renaghan
Keyword(s):  

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Solon Magrizos ◽  
Grigorios Lamprinakos ◽  
Yanling Fang ◽  
Dimitrios Drossos

Abstract In this study, we investigate the factors affecting consumers’ purchase intention toward influencers’ personal owned brands. By using the theoretical lens of the Theory of Planned Behaviour (TPB) we explore consumers’ purchase intentions towards influencers own brands and discuss the importance of previously held attitudes, subjective norms and perceived behavioural control. We further develop TPB by adding two further constructs, that of price and self-identity. The reported moderator role of self-identity in the relationship between price and purchase intention under the context of influencers’ personal owned brands suggests that the ‘fan’ status of followers makes them more tolerant to price increases. We discuss theoretical implications and offer suggestions for marketers and consumers alike.


2002 ◽  
Vol 179 ◽  
pp. 87-103 ◽  
Author(s):  
Benjamin Hunt ◽  
Peter Isard ◽  
Douglas Laxton

The paper uses MULTIMOD to analyse the macroeconomic effects of oil price shocks, distinguishing between temporary, more persistent, and permanent shocks. It provides perspectives on several findings in the literature and the key role of monetary policy in influencing macroeconomic outcomes. Specific attention is paid to the channels through which oil price increases can pass through into core inflation, the implications of delayed policy responses, and the relative merits of leaning in different directions when the correct policy response is uncertain.


2009 ◽  
Vol 27 (1) ◽  
pp. 36-53 ◽  
Author(s):  
Christian Homburg ◽  
Nicole Koschate ◽  
Dirk Totzek

2022 ◽  
Vol 8 (1) ◽  
Author(s):  
Ikhlaas Gurrib ◽  
Mohammad Nourani ◽  
Rajesh Kumar Bhaskaran

AbstractThis paper investigates the role of Fibonacci retracements levels, a popular technical analysis indicator, in predicting stock prices of leading U.S. energy companies and energy cryptocurrencies. The study methodology focuses on applying Fibonacci retracements as a system compared with the buy-and-hold strategy. Daily crypto and stock prices were obtained from the Standard & Poor's composite 1500 energy index and CoinMarketCap between November 2017 and January 2020. This study also examined if the combined Fibonacci retracements and the price crossover strategy result in a higher return per unit of risk. Our findings revealed that Fibonacci retracement captures energy stock price changes better than cryptos. Furthermore, most price violations were frequent during price falls compared to price increases, supporting that the Fibonacci instrument does not capture price movements during up and downtrends, respectively. Also, fewer consecutive retracement breaks were observed when the price violations were examined 3 days before the current break. Furthermore, the Fibonacci-based strategy resulted in higher returns relative to the naïve buy-and-hold model. Finally, complementing Fibonacci with the price cross strategy did not improve the results and led to fewer or no trades for some constituents. This study’s overall findings elucidate that, despite significant drops in oil prices, speculators (traders) can implement profitable strategies when using technical analysis indicators, like the Fibonacci retracement tool, with or without price crossover rules.


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