An Examination of Customers’ Attitudes about Table Top Technology in Full-Service Restaurants

This paper examines the influence of customer-facing technology in full-service restaurants. As a new addition to the service experience, tabletop devices offer the customer more control over the dining experience, and also increase customer participation in the service process, which has the potential to upset the traditional exchange between service providers and customers in restaurants. To examine how customers react to the use of tabletop devices, this study examines 1,343 point-of-sales transactions from 20 units of a full-service casual dining restaurant chain and matches customer in-restaurant transactions to their reactions to tabletop devices used during their meals. Results show that over 70% of the customers who used tabletop devices reported positive affect toward the device, with approximately 79% of customers reporting that the device improved their experience, citing convenience, ease of use, and credit card security as some benefits of using the technology. Approximately 80% of the customers who used the device reported that they would return to the restaurant because of the positive affect. The results also indicate that likeability of the device and tip percentage were positively and significantly connected to customer reports of the devices having a positive effect on experience and on desire to return. In addition, when customers reported increased return intentions, likeability of the device was higher regardless of reports of the device improving restaurant experience, showing that the introduction of tabletop devices had a positive effect for most—but not all—customers.

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.

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.

Black-White Wage Gap Among Restaurant Servers: A Replication, Extension, and Exploration of Consumer Racial Discrimination in Tipping

There is a rich history of social science research centering on racial inequalities that continue to be observed across various markets (e.g., labor, housing, and credit markets) and social milieus. Existing research on racial discrimination in consumer markets, however, is relatively scarce and that which has been done has disproportionately focused on consumers as the victims of race-based mistreatment. As such, we know relatively little about how consumers contribute to inequalities in their roles as perpetrators of racial discrimination. In response, in this paper we elaborate on a line of research that is only in its’ infancy stages of development and yet is ripe with opportunities to advance the literature on consumer racial discrimination and racial earnings inequities among tip dependent employees in the United States. Specifically, we analyze data derived from a large exit survey of restaurant consumers (n=378) in an attempt to replicate, extend, and further explore the recently documented effect of service providers’ race on restaurant consumers’ tipping decisions. Our results indicate that both White and Black restaurant customers discriminate against Black servers by tipping them less than their White coworkers. Importantly, we find no evidence that this Black tip penalty is the result of interracial differences in service skills possessed by Black and White servers. We conclude by delineating directions for future research in this neglected but salient area study.

Effects of Unionization on Graduate Student Employees: Faculty-Student Relations, Academic Freedom, and Pay

In cases involving unionization of graduate student research and teaching assistants at private U.S. universities, the National Labor Relations Board has, at times, denied collective bargaining rights on the presumption that unionization would harm faculty-student relations and academic freedom. Using survey data collected from PhD students in five academic disciplines across eight public U.S. universities, the authors compare represented and non-represented graduate student employees in terms of faculty-student relations, academic freedom, and pay. Unionization does not have the presumed negative effect on student outcomes, and in some cases has a positive effect. Union-represented graduate student employees report higher levels of personal and professional support, unionized graduate student employees fare better on pay, and unionized and nonunionized students report similar perceptions of academic freedom. These findings suggest that potential harm to faculty-student relationships and academic freedom should not continue to serve as bases for the denial of collective bargaining rights to graduate student employees.

Shift Scheduling in Services When Employees Have Limited Availability: An L. P. Approach

This paper compares two linear programming (LP) models for shift scheduling in services where homogeneously-skilled employees are available at limited times. Although both models are based on set covering approaches, one explicitly matches employees to shifts, while the other imposes this matching implicitly. Each model is used in three forms—one with complete, another with very limited meal break placement flexibility, and a third without meal breaks—to provide initial schedules to a completion/improvement heuristic. The term completion/improvement heuristic is used to describe a construction/ improvement heuristic operating on a starting schedule. On 80 test problems varying widely in scheduling flexibility, employee staffing requirements, and employee availability characteristics, all six LP-based procedures generated lower cost schedules than a comparison from-scratch construction/improvement heuristic. This heuristic, which perpetually maintains an explicit matching of employees to shifts, consists of three phases which add, drop, and modify shifts. In terms of schedule cost, schedule generation time, and model size, the procedures based on the implicit model performed better, as a group, than those based on the explicit model. The LP model with complete break placement flexibility and implicitly matching employees to shifts generated schedules costing 6.7% less than those developed by the from-scratch heuristic.

Shining Examples of Service When the Lights Went Out: Hotel Employees and Service Recovery during the Blackout of 2003

The electrical outage in the summer of 2003 that interrupted power to thousands of hotels wrought a variety of facilities failures and service-process problems. Fortunately, strong service-recovery efforts from hotel employees mitigated the worst of the blackout’s effects. Using survey data from hotel managers who experienced the blackout, this study highlights those employee actions that most contributed to immediate service recovery; however, the study also reveals limited organizational learning or efforts to failsafe hospitality service from the eventuality of future power failures.

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.