Howard Feiertag Department of Hospitality and Tourism Management

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Browsing Howard Feiertag Department of Hospitality and Tourism Management by Subject "1505 Marketing"

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    Advance booking across channels: The effects on dynamic pricing
    Bigne, Enrique; Nicolau, Juan Luis; William, Edu (Elsevier, 2021-10-01)
    This research analyzes the effects of advance booking and channel type on hotel rates. While this relationship has been addressed in the literature, most studies take a partial approach by focusing only on one distribution channel or one destination. This study fills this gap by analyzing the price dynamics for four channels and multiple destinations. The data set consists of 39,363 bookings for 1085 hotels over 27 consecutive months. We used two-stage least squares to solve potential endogeneity issues, and the results proved that distribution channel, hotel type and hotel size have an influence on the effect of advance booking on hotel rates. Critical managerial implications are discussed.
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    Antecedents of coopetition in small and medium-sized hospitality firms
    Kallmuenzer, Andreas; Zach, Florian J.; Wachter, Theresa; Kraus, Sascha; Salner, Patrick (2021-10)
    Coopetition, which is entering cooperation with competitors, lets firms overcome the challenges of uncertain environments and their intense competition and pressure to innovate. The hospitality industry frequently experiences this kind of competition. It is also dominated by family-run small and medium-sized enterprises (SMEs), which are inclined towards cooperation due to their limited size and resources, along with their strong social ties. Investigating hospitality SMEs’ decision-making, this mixed-method study tests the antecedents of coopetition in 171 hospitality SMEs in western Austria. Its findings show that economic benefits and destination networks directly and positively influence coopetition, while family involvement indirectly and positively moderates the effect of environmental conditions and social relationships on coopetition. Information from follow-up interviews with 15 firm managers complements the understanding of these effects. Our findings encourage destinations to establish services helping family firms to coopete.
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    Big Data Analytics and Hotel Guest Experience: A Critical Analysis of the Literature
    Zarezadeh, Zohreh; Rastegar, Raymond; Xiang, Zheng (2022)
    Purpose: Guest experience and satisfaction have been central constructs in the hospitality management literature for decades. In recent years, the use of big data as an increasing trending practice in hospitality research has been characterised as a modern approach which offers valuable insights into understanding and enhancing guest experience and satisfaction. Recognising such potential, both researchers and practitioners need to better understand big data’s application and contribution in the hospitality landscape. This paper critically reviews and synthesizes the literature to shed light on trends and extant patterns in the application of big data in hospitality, particularly in research focusing on hotel guest experience and satisfaction. Design/Methodology/approach: This research is based on a Preferred Reporting Items for Systematic Reviews and Metaanalysis (PRISMA) literature review of academic journal articles in Google Scholar published up to the end of 2020. Findings: By data types, user-generated content, especially online reviews and ratings were at the centre of attention for hospitality-related big data research. By variables, the hospitality-related big data fell into two crucial factor categories: physical environment and guest-to-staff interactions. Originality/value: This paper shows that big data research can create new insights into attributes that have been extensively researched in the hospitality field. It facilitates a thorough understanding of big data studies and provides valuable insights into future prospects for both researchers and practitioners.
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    Environmental certification and hotel market value
    Bernard, Shaniel; Nicolau, Juan Luis (Elsevier, 2022-02-01)
    To counteract the negative publicity derived from environmental impacts and avoid potential “greenwashing” accusations, hotels resort to third-party entities to certify their commitment to the environment. The objective of this study is to analyze the effect of environmental certifications on hotels’ market value. To fill this gap in the literature, this empirical study detects all announcements of environmental awards ever made by major publicly traded hotels in the United States. The findings show that environmental certification has a positive effect on hotels’ market value (reducing the effects of the alluded negative publicity); that this positive effect is higher for first-time awards; and that a U-shaped effect exists for subsequent awards. Managerial implications for hotels’ engagement in environmental awards are described.
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    The impact of hotel CSR for strategic philanthropy on booking behavior and hotel performance during the COVID-19 pandemic
    Shin, Hakseung; Sharma, Abhinav; Nicolau, Juan Luis; Kang, Juhyun (Elsevier, 2021-08-01)
    During the novel coronavirus (COVID-19) pandemic, some hotels have engaged in corporate social responsibility (CSR) activities to help overcome the crisis. Given that most existing research examines the impact of hotel CSR on a single stakeholder, how hotel CSR activities in a crisis are perceived by multiple stakeholders is unknown. Drawing on the concept of strategic philanthropy, this study examines the impact of hotel CSR activities during the pandemic, such as providing accommodations to healthcare workers, on hotel firms' market value and prospective hotel customers’ booking behavior. Adopting mixed-methods approach, this study finds negative impacts of hotel CSR for strategic philanthropy on firm market value and customer booking behavior. The study result indicates that the value of hotel CSR depends on the nature and environmental contexts of CSR. Specific theoretical and practical implications are provided.
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    Online engagement and persistent reactions to social causes: The black-owned business attribute
    Liu, Xianwei; Han, Meini; Nicolau, Juan Luis; Li, Chunhong (Elsevier, 2022-02-01)
    The persistence of COVID-19 exerts an unprecedented impact on the tourism and hospitality industry and the Black-owned businesses had been hit disproportionately harder than any other racial group. Many platforms (e.g., Airbnb and Yelp) have run a series of campaigns to support Black-owned businesses. Determining whether these campaigns are effective in attracting supports from consumers or just merely promotional is key. Based on the theoretical framework of Hennig-Thurau et al. (2004) and Aldous et al. (2019) and data collected from Yelp, this study reveals that higher levels of engagement produce persistent reactions. Specifically, the rating support lasts for one month and then vanishes; the review support increases for three months and then gets reversed; and the verbal support lasts for three months but does not get reversed. The findings of this study contribute to theories of online engagement and provide direct implications for platforms involving social campaigns in business practice.
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    Product diversification and isomorphism: The case of ski resorts and “me-too” innovation
    Zach, Florian J.; Schnitzer, Martin; Falk, Martin (Elsevier, 2021-09-01)
    Many ski-lift operators are trying to diversify their business by opening summer parks and in so doing, to reposition their resorts as year-round destinations. Almost half of ski-lift operators in Tyrol introduced such parks in the period from 2000 to 2018. The purpose of this study is to assess competitive determinants of following suit by copying these summer park introduced by competitors. Estimates using a Cox survival model show that the likelihood to adopt these summer parks is mainly determined by cooperation with competitors (coopetition) through year-round resident pass alliances and by the size of the operator. However, the park theme is, in turn, determined by location and terrain characteristics.
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    Smiley guests post long reviews!
    Li, Chunhong; Ye, Qiang; Nicolau, Juan Luis; Liu, Xianwei (Elsevier, 2021-07-01)
    The inclusion of a photo in users’ profile provides information about them and shows a higher sense of self-expression and potential engagement. On peer-to-peer rental platforms, profile images may be useful for hosts and guests to infer individual characteristics and expectations. We try to fill a gap in the literature by inferring guests’ posting behavior through their profile image. Using Airbnb data and deep learning techniques, our empirical analysis reveals that guests who upload profile images—especially profile images displaying happy emotions—are more involved in posting long reviews. As theoretical implications, these results add knowledge to the application of the Five Factor Model of Personality, deep learning, image recognition, and emotion recognition in hospitality. As managerial implications, the prediction of posting behavior through the mining of visual information can be a relevant tool in the age of big data.
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    Travel decision determinants during and after COVID-19: The role of tourist trust, travel constraints, and attitudinal factors
    Shin, Hakseung; Nicolau, Juan Luis; Kang, Juhyun; Sharma, Abhinav; Lee, Hoon (Elsevier, 2022-02-01)
    The COVID-19 pandemic has forced tourism practitioners to create efficient strategies to attract travelers. Using three theoretical frameworks, such as tourist trust (political, destination, and interactional trust), travel constraint (intrapersonal, interpersonal, and “social distancing” structural constraint), and extended theory of planned behavior (travel attitude, perceived behavioral control, subjective norm, perceived health risk, past travel experience), we develop a comprehensive framework to explain the impact of travel promoting, restricting, and attitudinal factors on travel decision during and after the pandemic. Data was obtained through an extensive survey conducted on 1451 Korean travelers and was analyzed using probabilistic choice models and count models. The results show the specific factors that determine travel decisions during the pandemic (whether to travel and frequency) and travel intention after the pandemic. This study provides important theoretical and practical insights into how to develop successful COVID-19 recovery strategies in the tourism industry.
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    Travelers' reactions toward recommendations from neighboring rooms: Spillover effect on room bookings
    Xu, Yukuan; Nicolau, Juan Luis; Luo, Peng (Elsevier, 2022-02-01)
    This research aims to test the potential spillover effect among room rentals using the context of room-sharing platforms. The spillover effect refers to the influence of related units' outcomes on a unit's outcome. On this basis, we hypothesize that the number of bookings of targeted neighboring rooms influences the number of bookings of a recommended room. Given our sample of nearly 20,000 observations, the empirical application results show that with the increase in the bookings of targeted neighboring rooms, the bookings of a recommended room rise in line with the hypothesized spillover effect. Moreover, the similarity between the recommended room and its neighboring rooms targeted at the room search stage and the quality of the recommended room further strengthen the spillover effect. This research contributes to the literature by providing novel perspectives to the boundary conditions of spillover effects and presents managerial implications for hosts and operators of room-sharing platforms.