Search results

This study aims to propose a risk-induced game theoretic forecasting model to predict average daily rate (ADR) under COVID-19, using an advanced recurrent neural network.

Using three data sets from upper-midscale hotels in three locations (i.e. urban, interstate and suburb), from January 1, 2018, to August 31, 2020, three long-term, short-term memory (LSTM) models were evaluated against five traditional forecasting models.

The models proposed in this study outperform traditional methods, such that the simplest LSTM model is more accurate than most of the benchmark models in two of the three tested hotels. In particular, the results show that traditional methods are inefficient in hotels with rapid fluctuations of demand and ADR, as observed during the pandemic. In contrast, LSTM models perform more accurately for these hotels.

This study is limited by its use of American data and data from midscale hotels as well as only predicting ADR.

This study produced a reliable, accurate forecasting model considering risk and competitor behavior.

This paper extends the application of game theory principles to ADR forecasting and combines it with the concept of risk for forecasting during uncertain times.

This study is the first study, to the best of the authors’ knowledge, to use actual hotel data from the COVID-19 pandemic to determine an appropriate neural network forecasting method for times of uncertainty. The application of Shapley value and operational risk obtained a game-theoretic property-level model, which fits best.

The purpose of this paper is to provide a review of the strategic human resources management (HRM) literature from the points of view of both general management and hospitality and tourism.

The paper provides a critical, qualitative and comparative review of the strategic HRM research literature in the fields of general management and hospitality and tourism, providing insights into emerging research trends and pointing to the gaps in the literature.

The results of the review showed six streams of research from the hospitality and tourism literature: human capital and firm performance, high-performance HRM practices and performance, international/global issues and strategic HRM, individual HRM practices and performance, qualitative reviews of the hospitality and tourism HRM literature and country-specific strategic HRM. This review also points to the gaps between the two bodies of literature and gives recommendations for future research.

The current conceptual model provides a useful framework for examining how strategic HRM practices impact firm performance through macro (organizational) and micro (individual) levels. The current review illustrates the important role that frontline managers have in delivering HRM practices.

This review provides a conceptual model for future research and practical implications.

Based on equity theory, this paper investigates if guests write on different review websites because of different internal motivations. Furthermore, it examines the moderating effect of service’ exceeds, neutral, negative, and service recovery–on the relationship between motivations and type of website to write reviews.

To exam if the star ratings of the same hotels were significantly different across hotel, online travel agency, and third-party review websites, this study collected 12,000 star ratings from 40 hotels across the US and conducted t-tests. A survey of 1,600 US travelers was administered to uncover the motivations for writing on different websites/website combinations. Four different scenarios were used to test the moderating effect of service: exceeds, neutral, negative, and service-recovery. These responses were analyzed using backwards stepwise regression.

Star ratings for the same hotel do differ among the three websites; hotel is the highest and third-party is the lowest. There are seven distinct groups of guests. Guests are motivated to write reviews to balance inequitable relationships. They decide which website/website combination best improves the equity relationship. This research indicates that guests’ choice of website is based on different internal motivations. The moderating effect of the service experience was significant.

This paper contributes to the literature by examining different motivations to write online reviews by website. Prior research typically examined one website or aggregated results from multiple websites, ignoring website specific differences. This can help hoteliers to understand why initiatives to promote reviews on certain websites may be unsuccessful.