The Business Case for (and Against) Restaurant Tipping

Recent interest in replacing tipping with service charges or higher service-inclusive menu pricing prompted this review of empirical evidence on the advantages and disadvantages to restaurants of these different compensation systems. The evidence indicates that these different pricing systems affect the attraction and retention of service workers, the satisfaction of customers with service, the actual and perceived costs of eating out, and the costs of hiring employees and doing business. However, the author comes away from the data believing that the biggest reason for restaurateurs to replace tipping is that the practice takes revenue away from them in the form of lower prices and gives it to servers in the form of excessively high tip income. The biggest reason for restaurateurs to keep tipping is that it allows them to reduce menu prices, which increases demand. Thus, restaurateurs’ decisions to keep voluntary tipping or not should ultimately depend on the relative strengths of these benefits. The more that a restaurant’s servers are overpaid relative to the back of house and the wealthier and less price-sensitive a restaurant’s customers are, the more the owner of that restaurant should consider abandoning tipping. By this reasoning, many upscale, expensive restaurants (especially those in states with no or small tip credits) probably should replace tipping with one of its alternatives.

Pooling Restaurant Reservations to Increase Service Efficiency

This paper examines whether restaurant reservations should be locked to specific tables at the time the reservation is made, or whether the reservations should be pooled and assigned to tables in real-time. In two motivating studies, we find that there is a lack of consensus in the restaurant industry on handling reservations. Contrary to what might be expected based on research that shows the benefits of resource pooling in other contexts, a survey of 425 restaurants indicated that over 80% lock reservations to tables. In two simulation studies, we determine that pooling reservations enables a 15-minute reduction in table turn times more than 15% of the time, which consequently increases service efficiency and enables a restaurant to serve more customers during peak periods. Pooling had the most consistent advantage with higher customer service levels, with larger restaurants, with customers who arrive late, and with larger variation in customer arrival time.

The Influence of Table Top Technology in Full-service Restaurants

The use of tabletop technology continues to grow in the restaurant industry, and this study identifies the strengths and weakness of the technology, how it influences customers, and how it can improve the bottom line for managers and business owners. Results from two studies involving a full-service casual dining chain show that dining time was significantly reduced among patrons who used the tabletop hardware to order or pay for their meals, as was the time required for servers to meet the needs of customers. Also, those who used the devices to order a meal tended to spend more than those who did not. Patrons across the industry have embraced guest-facing technology, such as online reservation systems, mobile apps, payment apps, and tablet-based systems, and may in fact look for such technology when deciding where to dine. Guests’ reactions have been overwhelmingly positive, with 70 to 80 percent of consumers citing the benefits of guest-facing technology and applications. The introduction of tabletop technology in the full-service segment has been slower than in quick-service restaurants (QSRs), and guests cite online reservation systems, online ordering, and tableside payment as preferred technologies. Restaurant operators have also cited benefits of guest-facing technology, for example, the use of electronic ordering, which led to increased sales as such systems can induce the purchase of more expensive menu items and side dishes while allowing managers to store order and payment information for future transactions. Researchers have also noted the cost of the technology and potential problems with integration into other systems as two main factors blocking adoption.