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Designing menus for profit: a revenue management perspective

Pratik Rajendra Satpute & Gautam Bapat

Emerald Emerging Markets Case Studies2026https://doi.org/10.1108/eemcs-03-2025-0112article
AJG 1
Weight
0.50

What the paper says

Learning outcomes The learning outcomes are as follows: Case overview/synopsis "The Engineered Menu” presents the challenges faced by Snacksbar Café, a small business in Pune, India, striving to optimize sales and profitability amidst competitive pressures. Despite being strategically located and popular with a diverse customer base, the café’s performance stagnated over its first six months of operation. The protagonist, Mr. Dhanesh Vaidya, is tasked with revitalizing the café by implementing revenue management techniques tailored to small businesses. These include dynamic pricing, menu engineering, customer segmentation and operational efficiencies. The case offers students the opportunity to explore strategies for balancing demand, pricing and operational capacity, making it particularly suitable for discussions on Revenue Management for Small Businesses. Complexity academic level It can be used in Executive MBA programs, Graduate MBA courses and Management Development Programs focusing on operational and financial decision-making in small businesses. Supplementary materials Teaching notes are available for educators only. Subject code CSS 12: Tourism and Hospitality.

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https://doi.org/https://doi.org/10.1108/eemcs-03-2025-0112

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@article{pratik2026,
  title        = {{Designing menus for profit: a revenue management perspective}},
  author       = {Pratik Rajendra Satpute & Gautam Bapat},
  journal      = {Emerald Emerging Markets Case Studies},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/eemcs-03-2025-0112},
}

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Designing menus for profit: a revenue management perspective

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.