Innovations in Hospitality Human Resources: Cases from the U.S. Lodging Industry

[Excerpt] Today’s hospitality and tourism companies face complex, dramatically shifting challenges, most notably the need to compete for increasingly sophisticated customers in a global, fluid marketplace. To attract and retain the loyal cadre of customers that will ensure the organization’s success, service companies such as hospitality organizations must employ technologically advanced, yet margin sensitive, product and pricing strategies and practices that will differentiate themselves to their intended market. Even more importantly, these service organizations need to devise strategies that will capture and retain the most important yet, from a financial perspective, unrecognized asset on the balance sheet: the employees that design and deliver the service to the customer base. Human resource strategists (i.e. Becker & Gerhart, 1996; Cappelli & Crocker-Hefter, 1996; O’Reilly & Pfeffer, 2000; Pfeffer, 1998; Ulrich, 1997), including those who take a hospitality perspective (i.e. Baumann, 2000; Hume, 2000; Worcester, 1999) advocate a renewed attention to the investment in employees or “human capital” as a source of strategic competitive advantage.

Exploring Ideas from Hospitality, Health Management, and Design for Senior Housing and Care: Insights from 2016 CIHF Senior Living Roundtable

The first Cornell Institute for Healthy Futures (CIHF) roundtable, held in April 2016, brought together senior-level executives, educators, and leaders in senior housing and care to share experiences and exchange ideas. CIHF roundtables are purposely limited to approximately 25 to 30 participants “at the table” to foster discussion on a more intimate basis than traditional conferences. In addition to the formal participants, students, faculty, and guests observed and interacted during the event and attended a separate panel discussion, and reception the evening before. Students, faculty, and industry leaders also met together at a working luncheon session to brainstorm ideas for recruiting and training young talent for careers in the senior housing and care industry.

FRESH: A Food-service Sustainability Rating for Hospitality Sector Events

This report presents a metric called FRESH (for Foodservice Impact Rating for Environmentally Sustainable Hospitality Events). FRESH can be used to evaluate the performance of any foodservice meal period or event in the hospitality sector with regards to its sustainability, based on seven measurements. These measures are: a (post-consumer) food-waste indicator, a no-show indicator (when unexpectedly few people show up), an over-show measure (when too many people show up), a planning indicator (measuring intentional overproduction), a portion-size indicator (measuring per-guest consumption against expectations), an economies of scale indicator, and a post-event indicator (which depends on disposal approaches). FRESH can help managers, authorities, and potential guests evaluate the sustainability of food production in any establishment.

Hospitality Management Accounting: Current Problems and Future Opportunities

This paper discusses areas for future research opportunities by addressing accounting issues faced by management accountants practicing in hospitality organizations. Specifically, the article focuses on the use of the uniform system of accounts by operating properties, the usefulness of allocating support costs to operated departments, extending our understanding of operating costs and performance measurement systems and the certification of practicing accountants.

The Impacts of Variety on the Costs and Profits of a Hotel Chain’s Properties

In the hotel industry, undistributed operating expenses represent a significant portion of the operating costs for a hotel. Exactly how most of these expenses arise is not well understood. Using data from more than 40 hotels operated by a major chain, the authors examine the links between the variety of a hotel’s products and customers and its undistributed operating expenses and revenues. Their findings show that undistributed operating expenses are related to the extent of the property’s business and product-services mix. The results suggest that although increasing a property's product-service mix results in higher undistributed operating expenses, the incremental costs are compensated for by higher revenues. However, increasing business mix while increasing undistributed operating expenses does not result in higher revenues.

Award for the Best Cornell Quarterly Article in 2002

[Excerpt] I am pleased to announce that the following article has been named Cornell Quarterly article of the year for 2002 (it appeared in the August 2002 issue): "Assessing the Profitability of Premium Players," by Anthony Lucas, Jim Kilby, and Jocelina Santos

Serving More Segments and Offering More Products: What Are the Costs and Where Are the Profits?

Making more money involves more than targeting new customer segments and offering new services.

Hotel Valuation Software, Version 4.0

[Updated August 2016] The Hotel Valuation Software, freely available from Cornell’s Center for Hospitality Research, has been updated to reflect the many changes in the 11th Edition of the Uniform System of Accounts for the Lodging Industry (USALI). Version 4.0 of the Hotel Valuation Software provides numerous enhancements over the original tool from 2011. In addition to a significant increase in functionality and an update to reflect the 11th edition of the USALI, Version 4.0 takes advantage of the power of the latest release of Microsoft Excel®. Note that Version 4.0 works only on a PC running Microsoft Windows, it does not work on a Mac running OS X. Users desiring an OS X compatible version should click here (Labeled as Version 2.5). 酒店评估软件手册和三个程序（点击这里 ) Users desiring a Mandarin version of the Hotel Valuation Software should click here The Hotel Valuation Software remains the only non-proprietary computer software designed specifically to assist in the preparation of market studies, forecasts of income and expense, and valuations for lodging property. The software provides an accurate, consistent, and cost-effective way for hospitality professionals to forecast occupancy, revenues and expenses and to perform hotel valuations. Version 4.0 of the Hotel Valuation Software includes the following upgrades – a complete update to reflect the 11th edition of the USALI – the most significant change to the chart of accounts in a generation, an average daily rate forecasting tool, a much more sophisticated valuation module, and an optional valuation tool useful in periods of limited capital liquidity. Using established methodology, the Hotel Valuation Software is a sophisticated tool for lodging professionals. The tool consists of three separate software programs written as Microsoft Excel files and a software users' guide. The tool is provided through the generosity of HVS and the School of Hotel Administration. The three software modules are: Room Night Analysis and Average Daily Rate: Enables the analyst to evaluate the various competitive factors such as occupancy, average room rate, and market segmentation for competitive hotels in a local market. Calculates the area-wide occupancy and average room rate, as well as the competitive market mix. Produce a forecast of occupancy and average daily rate for existing and proposed hotels in a local market. The program incorporates such factors as competitive occupancies, market segmentation, unaccommodated demand, latent demand, growth of demand, and the relative competitiveness of each property in the local market. The program outputs include ten-year projections of occupancy and average daily rate. Fixed and Variable Revenue and Expense Analysis: The key to any market study and valuation is a supportable forecast of revenues and expenses. Hotel revenue and expenses are comprised of many different components that display certain fixed and variable relationships to each other. This program enables the analyst to input comparable financial operating data and forecast a complete 11-year income and expense statement by defining a small set of inputs: The expected future occupancy levels for the subject hotel Base year operating data for the subject hotel Fixed and variable relationships for revenues and expenses Expected inflation rates for revenues and expenses Hotel Capitalization Software: A discounted cash flow valuation model utilizing the mortgage-equity technique forms the basis for this program. Values are produced using three distinct underwriting criteria: A loan-to-value ratio, in which the size of the mortgage is based on property value. A debt coverage ratio (also known as a debt-service coverage ratio), in which the size of the mortgage is based on property level cash flow, mortgage interest rate, and mortgage amortization. A debt yield, in which the size of the mortgage is based on property level cash flow. By entering the terms of typical lodging financing, along with a forecast of revenue and expense, the program determines the value that provides the stated returns to the mortgage and equity components. The program allows for a variable holding period from four to ten years The program includes an optional model useful during periods of capital market illiquidity that assumes a property refinancing during the holding period

Hotel Brand Conversions: What Works and What Doesn’t

As many as one-third of U.S. hotels have been converted from one brand to another in recent years, a process that frequently improves the hotel’s financial performance—although that is not always the case. Using data collected between 1994 and 2012 from PKF Hospitality Research, an analysis of brand conversions by 260 hotels shows that hotels moving downscale generally improved their occupancy, and thus their top-line revenue and profit ratios, compared to a control group of 2,750 hotels that did not change brands. However, hotels that moved upscale did not see notable changes in revenue or profit, nor did hotels that moved across their tier, especially when they stayed within their brand family. Two factors seem to drive the financial results for converted hotels—the relative strength of the brand and the fit between the brand and the property.

Authenticity in Scaling the Vision: Defining Boundaries in the Food and Beverage Entrepreneurship Development Cycle

The October 2015 Food and Beverage Entrepreneurship Roundtable brought together over 30 food and beverage industry leaders, entrepreneurs, faculty, and students at the School of Hotel Administration at Cornell University. Discussion topics covered entrepreneurship in the food and beverage industry, including development, intrapreneurship, operational efficiency, beverage product development, and technology. The roundtable began with the presentation of a five-point framework on food and beverage venue development. The first three phases focused on the launch of a venue, including how to define the guest experience; the creation of operational functionality by strategically planning out the design, flow, and efficiency of a defined space; and development capacity. The remaining two points of the framework focused on post-opening considerations, including operating systems and culture development. Participants discussed the importance of culture in the growth of a business. They suggested that intrapreneurship needs to be fostered in the culture of an organization and in an educational curriculum for those who are preparing to enter the industry. Participants also discussed the fine balance between setting expectations for an experience and subsequently being able to maintain this experience in a fast changing environment. In particular they considered what it means to say no to customers. A discussion on the beverage industry focused on how to distribute products in a crowded marketplace. One method to ensure that the product gets into the hands of the consumers is face-to-face sales. Finally, in the technology session, the group discussed technology adoption, specifically focusing on the point at which technology detracts from the guest experience, how to minimize operational risk from technology, and how to maximize consumers’ adoption rates.

Environmental Implications of Hotel Growth in China: Integrating Sustainability with Hotel Development

China has embarked on the largest program of new hotel construction the world has ever seen. Even though the nation’s growth rate has eased somewhat in the past year, China’s hotel development continues at a pace that would see at least three new 150+ room hotels open every day for the next 25 years.1 Even if the industry does not continue to expand at this rate, China’s hotel growth carries substantial consequences in terms of increases in energy and water consumption, and an expanding carbon footprint. In this paper, we outline the dimensions of this issue, and we urge hotel developers to heed the national government’s push for greater sustainability.

A Flow-Through Analysis of the US Lodging Industry During the Great Recession

Purpose – The objective of this exploratory study is to investigate the “flow-through” or relationship between top-line measures of hotel operating performance (occupancy, average daily rate and revenue per available room) and bottom-line measures of profitability (gross operating profit and net operating income), before and during the recent great recession. Design/methodology/approach – This study uses data provided by PKF Hospitality Research for the period from 2007-2009. A total of 714 hotels were analyzed and various top-line and bottom-line profitability changes were computed using both absolute levels and percentages. Multiple regression analysis was used to examine the relationship between top and bottom line measures, and to derive flow-through ratios. Findings – The results show that average daily rate (ADR) and occupancy are significantly and positively related to gross operating profit per available room (GOPPAR) and net operating income per available room (NOIPAR). The evidence indicates that ADR, rather than occupancy, appears to be the stronger predictor and better measure of RevPAR growth and bottom-line profitability. The correlations and explained variances are also higher than those reported in prior research. Flow-through ratios range between 1.83 and 1.91 for NOIPAR, and between 1.55 and 1.65 for GOPPAR, across all chain-scales. Research limitations/implications – Limitations of this study include the limited number of years in the study period, limited number of hotels in a competitive set, and self-selection of hotels by the researchers. Practical implications – While ADR and occupancy work in combination to drive profitability, the authors' study shows that ADR is the stronger predictor of profitability. Hotel managers can use flow-through ratios to make financial forecasts, or use them as inputs in valuation models, to forecast future profitability. Originality/value – This paper extends prior research on the relationship between top-line measures and bottom-line profitability and serves to inform lodging owners, operators and asset managers about flow-through ratios, and how these ratios impact hotel profitability.

The Changing Relationship between Supervisors and Subordinates: How Managing This Relationship Evolves over Time

Understanding how the relationship between a subordinate and manager develops over time has been a critical matter both for academics and for business. In both academic journals and industry publications, some writers have argued that the relationship is driven by perceptions of fairness and treatment, and that developing the relationship can lead to better performance. Others have argued that higher performers get better treatment and resources, which results in superior relationships with their managers. There is really no clear answer of what comes first—perceptions of fairness, satisfaction with the supervisor, or job performance—and which leads to which.

Error Recovery Performance: The Impact of Leader Behavioral Integrity and Job Satisfaction

This article introduces the concept of error recovery performance, followed by the development and validation of an instrument to measure it. The first objective of this article is to broaden the current concept of service recovery to be relevant to the back-of-house operations. The second objective is to examine the influence of leader behavioral integrity (BI) on error recovery performance. Moreover, the study examines the mediating effect of job satisfaction between BI and error recovery performance. Finally, the study links error management performance with work-unit effectiveness. Data for Study 1 were collected from 369 hotel employees in Turkey. The same relationships were tested again in Study 2 to validate the findings of Study 1 with a different sample. Data for Study 2 were collected from 33 departmental managers from the same hotels. Linear regression analysis was used to test the direct effects. The mediating effects were tested using the mediation test suggested by Preacher and Hayes. In addition, in Study 2, general managers of the hotels were asked to rate the effectiveness of each manager and their respective department. Results from Study 1 indicate that BI drives error recovery performance, and this impact is mediated by employee job satisfaction. Results of Study 2 confirm this model and finds further that managers’ self-rated error recovery performance was associated with their general managers’ assessment of their deliverables and of their department’s overall performance.

A Comparison of the Performance of Brand-Affiliated and Unaffiliated Hotel Properties

Research has shown that performance differences exist between brand-affiliated hotels and unaffiliated properties. However, the extant empirical results are mixed. Some research has shown that brands outperform unaffiliated hotels on various metrics, whereas other research has shown the opposite. This article analyzes this issue using a matched-pair approach where we compare the performance differences of brand-affiliated and unaffiliated properties between 1998 and 2010. The matched-pair approach ensures that local competitive conditions as well as hotel characteristics are the same across the comparison pair. In addition, all potential omitted-variable bias and model misspecifications are avoided. Thus, to address our research question, we compare branded hotels with unaffiliated properties that are identical in age, market segment, location, and duration of operation, as well as having a similar number of rooms. Our analysis shows that performance differentials are present, albeit not systematic. We found no consistent advantages in all segments for either the affiliated hotels or the comparable unaffiliated properties, taking into account our comparison factors. That said, the methodology of our approach yields results that are more informative to the affiliation choice of owners and to the growth strategies of hotel brand–owner companies than those of previous empirical studies.