CONSUMERS´ DECISION-MAKING UNDER SALOP´S MODEL: KEY STUDY ON STARBUCKS PRAGUE AND RICHMOND BUSINESS MODEL
OLDRICH KUCERA, BOZENA KADERABKOVA
Abstract:
This study thesis analyses the Starbucks business model in Prague and Richmond from the location perspective, focusing on the company’s consumers and their decision-making towards commuting to the stores. Using modified Salop’s circle model, the transportation costs of the average Starbucks consumer in both cities are calculated, explained, and compared. It is revealed that the average Starbucks consumer in Richmond bears, on average, 1.255x higher transportation costs than the one in Prague and is willing to travel 2.54x higher distances to purchase the average Starbucks product. In addition, after analyzing transportation costs, the study offers a real-life applicable business proposal for where to place a new Starbucks store in both cities, based on several techniques often used in business consulting for solving case studies. The suggested most suitable location for the new store in Prague is the Prague main railway station. In contrast, the best location in Richmond is the intersection of West Broad Street E and North Lombardy Street, close to Virginia Commonwealth University. The study’s main contribution is the inverting of Salop’s circle model and emphasizing transportation costs as an endogenous variable. In general terms, this study may guide spatial optimization in business strategies, from circular economy applications to strategic managerial decisions in locations with different consumer sensitivity to transportation costs.
Keywords:
Salop’s Model; Transportation Costs; Consumers´ Decision-Making; Business Strategy; Cost Optimization; Competition
DOI: 10.52950/ES.2023.12.1.005
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APA citation:
OLDRICH KUCERA, BOZENA KADERABKOVA (2023). Consumers´ Decision-Making under Salop´s Model: Key Study on Starbucks Prague and Richmond business model. International Journal of Economic Sciences, Vol. XII(1), pp. 85-115. , DOI: 10.52950/ES.2023.12.1.005
Data:
Received: 4 Feb 2023
Revised: 1 Apr 2023
Accepted: 17 Apr 2023
Published: 1 May 2023
Copyright © 2023, Oldrich Kucera et al, oldrich.kucera@mensa.cz