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Book part
Publication date: 25 January 2023

Yang Yang, Graziano Abrate and Chunrong Ai

This chapter provides an overview of the status of applied econometric research in hospitality and tourism management and outlines the econometric toolsets available for…

Abstract

This chapter provides an overview of the status of applied econometric research in hospitality and tourism management and outlines the econometric toolsets available for quantitative researchers using empirical data from the field. Basic econometric models, cross-sectional models, time-series models, and panel data models are reviewed first, followed by an evaluation of relevant applications. Next, econometric modeling topics that are germane to hospitality and tourism research are discussed, including endogeneity, multi-equation modeling, causal inference modeling, and spatial econometrics. Furthermore, major feasibility issues for applied researchers are examined based on the literature. Lastly, recommendations are offered to promote applied econometric research in hospitality and tourism management.

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Cutting Edge Research Methods in Hospitality and Tourism
Type: Book
ISBN: 978-1-80455-064-9

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Book part
Publication date: 30 September 2021

Mian Zhang and Xiyue Ma

The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second…

Abstract

The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second, the authors link these phenomena to the contextualization of job embeddedness theory. To achieve the goal, the authors begin by introducing three macro-level forces (i.e., political, economic, and cultural forces) in China that help scholars analyze contextual issues in turnover studies. The authors then provide findings in the literature research on employee retention studies published in Chinese academic journals. Next, the authors discuss six indigenous phenomena (i.e., hukou, community in China, migrant workers, state-owned companies, family benefit prioritization, and guanxi) under the three macro-level forces and offer exploratory propositions illustrating how these phenomena contribute to understanding employee retention in China. Finally, the authors offer suggestions on how contextualized turnover studies shall be conducted in China.

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Global Talent Retention: Understanding Employee Turnover Around the World
Type: Book
ISBN: 978-1-83909-293-0

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Article
Publication date: 29 June 2018

Yang Mao and Liangcai Zeng

The purpose of this study is to establish a friction coefficient prediction model using texture parameters and then using the optimal texture parameters to obtain the minimum…

157

Abstract

Purpose

The purpose of this study is to establish a friction coefficient prediction model using texture parameters and then using the optimal texture parameters to obtain the minimum friction coefficient.

Design/methodology/approach

Based on texture technology and the cavitation phenomenon conditions, a test scheme based on two-factor and five-level texture parameters is designed using central composite design and then the response surface methodology and hybrid back-propagation genetic algorithm (BP-GA) models are used to establish a friction coefficient prediction model and optimize the friction coefficient.

Findings

The result indicates that the values predicted using two methodologies agree well with the experimental data, but the hybrid BP-GA model is superior to the response surface methodology model in both prediction and optimization.

Originality/value

Two methodologies are used to study the influence of the texture parameters on the friction coefficient under the cavitation condition. It is expected that the result can be used to obtain optimum texture parameters to reduce the friction coefficient.

Details

Industrial Lubrication and Tribology, vol. 70 no. 5
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 13 May 2021

Yu Qin, Jing Qin and Chengwei Liu

This study aims to examine the evolution of spatial–temporal patterns in China’s hotel industry from 1978 to 2018.

496

Abstract

Purpose

This study aims to examine the evolution of spatial–temporal patterns in China’s hotel industry from 1978 to 2018.

Design/methodology/approach

A database comprising over 140,000 hotels with more than 30 rooms was created. The exploratory spatial–temporal data analysis (ESTDA) method, based on space–time cube model, was used to explore and visualize the spatial–temporal pattern of hotels.

Findings

The Chinese hotel industry can be divided into two development stages, namely, a large hotel-dominant stage before 2000 and a small–medium-sized hotel-dominant stage after 2000. China’s prefecture-level cities were clustered into four tiers. The higher the tier, the earlier the city will initiate hotel development. The Chinese hotel industry has four continuous hotspots (the Yangtze River Delta, Pearl River Delta, Bohai Rim and Sichuan and Chongqing) and some temporary hotspots.

Research limitations/implications

This study lacks quantitative investigation, which could show the underlying mechanism of the evolution of the Chinese hotel industry.

Originality/value

This study is the first to investigate China’s hotel evolution over 40 years by applying big data and the ESTDA method. The systematic and evolutionary exploration will enable hotel researchers to understand the spatial–temporal nature of hotel distribution better. Introducing the ESTDA method into tourism and hotel research also provides an additional tool to researchers. Hotel investors and operators, city and tourism planners and market regulators can learn from the evolution of location patterns to make better where and when decisions.

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International Journal of Contemporary Hospitality Management, vol. 33 no. 6
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 18 January 2019

Ruggero Sainaghi, Aurelio G. Mauri, Stanislav Ivanov and Francesca d’Angella

This paper aims to explore the effects generated by the Milan World Expo 2015 on both firm performance and seasonality structure. It aims to answer the following research…

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Abstract

Purpose

This paper aims to explore the effects generated by the Milan World Expo 2015 on both firm performance and seasonality structure. It aims to answer the following research question: Did the Milan Expo 2015 influence only hotel results without changing seasonal patterns, or was this mega event able to reconfigure seasonal periods?

Design/methodology/approach

The present analysis is based on Smith Travel Research (STR) data. This source offers daily data on a large sample of Milan hotels (approximately 80 per cent of the total), representing more than 30,000 rooms. The empirical data relate to a period of 12 years, 11 of which are focused on the pre-event period (2004-2014), while 2015 is centered on the Milan Expo. This data comprise 4,383 daily observations. For each day, three operating measures were analyzed: occupancy, average daily rate (ADR) and revenue per available room (RevPAR).

Findings

The empirical findings fully support the first hypothesis: the four seasonal periods built around the main market segments are relevant lenses for understanding Milan’s demand structure before Expo 2015. The findings also support the second hypothesis relating to the effects generated by the event: Expo 2015 was able to improve hotel performance during the four seasonal periods analyzed. The most fragile seasonality registered the highest rise. Finally, the last two hypotheses to be investigated are as follows: did the Milan Expo 2015 simply improve hotel performance, without changing the underlying seasonal patterns (H3), or did this event reconfigure the demand structure (H4)? The analyses carried out lend more support to the fourth hypothesis, suggesting that new seasonal patterns emerged during Expo 2015.

Originality/value

This paper explores the impact of a mega event on seasonal patterns of hotel performance metrics. At least three original aspects are introduced. First, to analyze the Milan demand variation, a market segment approach that proposes an innovative seasonal matrix is developed. This is based on the three main client groups attracted by the destination. Second, the effects generated by the Expo are measured with consideration given to the four seasonal periods. Third, based on graphical and statistical analysis, the paper confirms that new seasonal patterns emerged during the Expo.

Details

International Journal of Contemporary Hospitality Management, vol. 31 no. 1
Type: Research Article
ISSN: 0959-6119

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Book part
Publication date: 15 August 2024

Naushad Mohamed

The complexity and ambiguity of COVID-19 presented itself as a ‘wicked problem’ (Rittel & Webber, 1973) for tourism policymakers with no definitive solution to stop the virus or…

Abstract

The complexity and ambiguity of COVID-19 presented itself as a ‘wicked problem’ (Rittel & Webber, 1973) for tourism policymakers with no definitive solution to stop the virus or restart tourism across the globe. The reliance on expert advice proposed by international organisations (such as World Health Organisation, WHO, and United Nations World Tourism Organisation, UNWTO) varied across government leaders (Head, 2022). This resulted in mixed outcomes for containing the virus and tourism recovery. This chapter selects Maldives as a case study for exploring how the government tackled COVID-19 as a wicked problem despite having no prior experience in managing a health pandemic and an economy heavily dependent on tourism. The chapter outlines the strategies and policies used by the government of Maldives (a) to lessen the impact of COVID-19 on the economy of Maldives; (b) to apply guidelines proposed by international agencies to manage the health pandemic; and (c) to recover and rebuild the tourism industry. Review studies indicate the bulk of research evaluating COVID-19 and tourism focussed on the United States and China (Yang et al., 2022). Although some studies have explored South-East Asia, small island destinations and their journey towards recovery from COVID-19 remain under represented in literature. Despite the challenges of being a small island destination and limited experience of a health crisis, Maldives has been swift in applying international guidelines to manage the COVID-19 pandemic and recovered tourism in a short time.

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Tourism Policy-Making in the Context of Contested Wicked Problems: Sustainability Paradox, Climate Emergency and COVID-19
Type: Book
ISBN: 978-1-80455-453-1

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Article
Publication date: 17 February 2025

Villy Abraham, Lior Solomovich, Noa Barnea-Levy and Josef Cohen

The present study explores the possible ramifications of insomnia and sleep quality on attitudes and expectations from a hotel accommodating guests suffering from insonia and poor…

0

Abstract

Purpose

The present study explores the possible ramifications of insomnia and sleep quality on attitudes and expectations from a hotel accommodating guests suffering from insonia and poor sleep quality.

Design/methodology/approach

The current study adopts a quantitative dominant (QUAN + qual) concurrent mixed methods design. 20 participants (11 women and nine men) aged 22 to 80 participated in the qualitative research. Purposeful sampling (n = 369) was employed to solicit participants for the quantitative phase of the study.

Findings

Findings suggest that subjective norm influence is significantly associated with service quality expectations and intentions to visit a hotel accommodating sleep-deprived individuals. Hotels accommodating such guests possess a substantial competitive advantage.

Research limitations/implications

While our study provides valuable insights, it is essential to note that the data was collected from a single country. Therefore, caution should be exercised when generalizing the findings to hotel guests from other countries. This highlights the need for future research to explore cross-cultural aspects of sleep disorders and their impact on the interaction between hotel service providers and guests.

Practical implications

The study results underscore the importance of understanding and addressing the unique needs of travelers’ with sleep disorders. They also emphasize the added benefit of better accommodating other guests who do not necessarily suffer from the disorder to enjoy substantially more sleep.

Originality/value

The extant tourism literature focuses on neurological disorders. However, the possible ramifications of insomnia and poor hotel sleep quality on travel, guest preferences, expectations and choices were mostly overlooked.

Details

Journal of Hospitality and Tourism Insights, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9792

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Article
Publication date: 22 November 2022

Miyoung Jeong, Hyejo Hailey Shin, Minwoo Lee and Jongseo Lee

Given the importance of performance consistency of chain hotels in customers’ decision-making and service evaluation, this study aims to explore how consistently chain hotel…

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Abstract

Purpose

Given the importance of performance consistency of chain hotels in customers’ decision-making and service evaluation, this study aims to explore how consistently chain hotel brands offer quality service and carry out their performance from the eyes of customers through online reviews on TripAdvisor of the top five US hotel chains (i.e. Choice, Hilton, InterContinental, Marriott and Wyndham) and their brands.

Design/methodology/approach

The research objectives were achieved through methodological triangulation: business intelligence, data visualization analytics and statistical analyses. First, the data collection and pre-processing of consumer-generated media (CGM) (i.e. TripAdvisor online reviews) were performed using business intelligence for further analyses. Using data visualization analytics (i.e. box-and-whisker plot by region and brand), the geographic patterns of performance attributes (i.e. online review ratings, including location, sleep, cleanliness, room and service) were depicted. Using a series of analyses of variance and regression analyses, the results were further assessed for the impacts of brand performance inconsistency on consumers’ perceived value, sentiment and satisfaction.

Findings

The empirical results demonstrate that there are significant performance inconsistencies in performance attributes (location, sleep, cleanliness, room and service) by brands throughout the six regions in the US hotel market. More importantly, the findings confirm that brand performance consistency significantly influences consumers’ perceived service quality (i.e. perceived value, satisfaction and sentiment).

Originality

This study is one of the first attempts to empirically explore hotel brand performance consistency in the US hotel market from customer reviews on CGM. To measure hotel brand performance in the US hotel market, this study collected and analyzed user-generated big data for the top 5 US hotel chains through business intelligence, visualization analytics and statistical analysis. These integrated and novel research methods would help tourism and hospitality researchers analyze big data in an innovative data analytics approach. The findings of the study contribute to the tourism and hospitality field by confirming hotel brand performance inconsistency and such inconsistent performance affected customers’ service evaluations.

Practical Implications

This study demonstrates the significant impact of hotel brand performance consistency on consumers’ perceived value, emotion and satisfaction. Considering that online reviews are perceived as a credible source of information, the findings suggest that the hotel industry pays special attention to brand performance consistency to improve consumers’ perceived value, emotion and satisfaction.

Details

International Journal of Contemporary Hospitality Management, vol. 35 no. 6
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 10 January 2025

Xi Zhang, Yanwen Shi, Kexin Sun, Qiuren Wang, Ziyan Zhang and Zhanpeng Xiao

As the pioneer nation to formally integrate data as a factor of production into its national strategy, does China’s research emphasis on data factor market differ from that of…

16

Abstract

Purpose

As the pioneer nation to formally integrate data as a factor of production into its national strategy, does China’s research emphasis on data factor market differ from that of other countries? Currently, there is a notable absence of comprehensive comparative analyses addressing this issue. The purpose of this study is to fill this gap by systematically reviewing the development trajectory of research on the data factor market from a governance perspective.

Design/methodology/approach

In this study, the authors used Citespace software to conduct bibliometric analyses on a corpus of 1,304 international publications and 1,249 Chinese publications. These analyses encompassed various dimensions, including publication quantity and trend analysis, cocitation analysis and keyword cooccurrence analysis, while also facilitating a comparative examination of research disparities between Chinese and international literature.

Findings

There are significant differences between Chinese and international data factor market studies in terms of governance environment, governance entities, governance technology and governance mechanism. The authors strongly advocate the promotion of cross-border research collaboration to advance the research and application of data factor market governance.

Originality/value

The authors have innovatively proposed a framework for data factor market governance. Building upon this framework, the authors conducted a comprehensive comparative analysis of research disparities between Chinese and international literature, thereby unveiling emerging research trends in the field of data factor market.

Details

Journal of Science and Technology Policy Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2053-4620

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Article
Publication date: 17 March 2020

Minwoo Lee, Yanjun (Maggie) Cai, Agnes DeFranco and Jongseo Lee

Electronic word of mouth in the form of user-generated content (UGC) in social media plays an important role in influencing customer decision-making and enhancing service…

3207

Abstract

Purpose

Electronic word of mouth in the form of user-generated content (UGC) in social media plays an important role in influencing customer decision-making and enhancing service providers’ brand images, sales and service innovations. While few research studies have explored real content generated by hotel guests in social media, business analytics techniques are still not widely seen in the literature and how such techniques can be deployed to benefit hoteliers has not been fully explored. Thus, this study aims to explore the significant factors that affect hotel guest satisfaction via UGC and business analytics and also to showcase the use of business analytics tools for both the hospitality industry and the academic world.

Design/methodology/approach

This study uses big data and business analytics techniques. Big data and business analytics enable hoteliers to develop effective and efficient strategies improving products and services for guest satisfaction. Therefore, this study analyzes 200,431 hotel reviews on Tripadvisor.com through business analytics to explore and assess the significant factors affecting guest satisfaction.

Findings

The findings show that service, room and value evaluations are the top-three factors affecting overall guests’ satisfaction. While brand type and negative emotions are negatively associated with guests’ satisfaction, all other factors considered were positively associated with guests’ satisfaction.

Originality/value

The current study serves as a great starting point to further explore the relationship between specific evaluation factors and guests’ overall satisfaction by analyzing user-generated online reviews through business analytics so as to assist hoteliers to resolve performance-related problems by analyzing service gaps that exist in these influential factors.

研究目的

以消费者评论为主体的社交网络口碑营销对于影响消费者决策和提高服务提供商的品牌形象、销量、和服务创新起到重要作用。然而, 很少研究探索社交媒体上的真正酒店客人评论。因此, 商务分析技术在文献中还是很少使用的, 这种技术应该更多得到科研上的应用以给酒店从业人员给与启示。因此, 本论文旨在探究影响酒店顾客满意度的因素, 通过消费者评论和商务分析, 以展示商务分析技术是如何为酒店业和科研界来使用的。

研究设计/方法/途径

本论文使用大数据和商务分析技术来进行数据分析。大数据和商务分析能够为酒店从业人员开发有效战略以提高产品和服务质量, 最后达到顾客满意。因此, 本论文分析了Tripadvisor.com的200, 431酒店评论数, 通过商务分析技术, 以探索和审视影响顾客满意度的重要因素。

研究结果

研究结果显示服务、客房、和价值比成为影响顾客满意度的前三项因素。品牌类型和负面情绪是影响顾客满意度的负面因素。其他因素成为影响顾客满意度的正面因素。

研究原创性/价值

本论文是利用消费者评论的商务分析来探究影响顾客满意度与具体衡量因素之间关系的起点范例, 以此, 帮助酒店从业商来解决服务中的欠缺因素, 提高绩效。

Details

Journal of Hospitality and Tourism Technology, vol. 11 no. 1
Type: Research Article
ISSN: 1757-9880

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