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By building on cooperation–competition theory, this study aims to investigate the multidimensional flipped effects of neighborhood hotels on Airbnb listings’ popularity, examining the degree to which such impacts are influenced by hotel types and geographical areas.

This study explores the interdependent and competitive relationship between neighborhood hotels and Airbnb from the perspective of effects on Airbnb listings’ popularity by exploring a data set covering 10,492 Airbnb listings and 2,691 hotels from Ctrip.

Results reveal that neighborhood hotels’ number of reviews, review ratings and prices each have positive spillover effects on Airbnb listings’ popularity, while quality assurance labels and negative review topic sentiments exert competitive effects on Airbnb popularity. Moreover, the number of budget chain hotels and high-star hotels have positive and negative effects on Airbnb popularity, respectively. Geographical areas also have a moderating effect on the relationship between various hotel-related influencing factors and Airbnb.

This study can offer hotel managers and Airbnb operators a clearer understanding of these businesses’ coexisting relationship. Findings can also provide Airbnb-specific guidelines for practitioners in terms of site selection, promotional features and development strategies for Airbnb listings.

This study establishes a cooperation–competition relationship model between hotels and Airbnb and considers the flipped effects of hotels on Airbnb for the first time. It expands previous studies by considering the multidimensional effects of hotels on Airbnb listings’ popularity and by examining the influences of hotel types and geographical areas on hotels’ impacts on Airbnb.

This research aims to explore the strategies and tactics taken by five-star hotels to create and sustain competitiveness at difficult times, the role of innovation among the initiatives taken and the factors that influence managers’ decision in selection of coping measures.

The research was conducted in two stages. The first stage focused on textual analysis of online news reports on luxury hotels’ coping strategies taken between 2013 and 2018. At the second stage, expert interviews were carried out with 25 managers of five-star hotels to obtain richer information of hotels’ responsive measures. The qualitative data were analyzed by thematic analysis.

The results revealed that five-star hotels in China made adjustment in physical resource management, human resource management, marketing mix, operation process and external relations to maintain competitiveness during difficult times. A model of hotel resilience was developed based on the findings. Innovation was imbedded in the responsive measures throughout these areas. Managers’ selection of coping measures was affected by the hotel’s organizational culture, location, brand image and competitors.

The model of hotel resilience serves as a useful reference to plan and select strategies and tactics to respond to similar external challenges. Hotel managers are recommended to embrace a variety of innovations directed at both internal management and customer service during challenging times.

To the best of the authors’ knowledge, this study is the first empirical research that systematically examines the measures taken by hotels during critical times to maintain competitiveness, linking these to contemporary post-Fordist operational trends.

The purpose of this review paper is to identify the themes of hospitality and tourism innovation research published in academic and trade journals between 2010 and 2020, to explore the common and different areas of interest between academia and the industry and to examine the trends of innovation research themes during this period to suggest future research directions.

The EBSCO Hospitality and Tourism Index was used as the data source. Co-word analysis was conducted via the Leximancer software to identify key areas of interest in hospitality and tourism innovation. Trends in hospitality and tourism innovation over the ten-year period were revealed by a time-dimension analysis.

This study produced a conceptual map demonstrating focal points and trends in hospitality and tourism innovation. Trade journals were found to be dominated by product innovation driven by technological development, while academic journals covered more topics, such as employee innovation, sustainable innovation, leadership innovation and user generated content (UGC). Academia was shown to follow in the footsteps of industry in publication on several topics. Furthermore, academic interest in certain topics, such as hotel service innovation, UGC and social media, lasted several years.

This study can facilitate knowledge transfer between academia and the industry. It also provides directions for future research based on historical and comparative analysis.

This research extends the scope of existing review studies by including articles published by trade journals. It also adds a time dimension, which helps to unveil the evolution process of hospitality and tourism innovation research and practice.

This study aims to investigate the relationships between electronic word of mouth (eWOM) source credibility, perceived risk and information usefulness and how they influence tourists’ destination visit intention and online review involvement.

Data for this quantitative study were collected via an online survey from 460 participants and analyzed using a partial least squares analysis.

All four dimensions of eWOM source credibility reduce travelers’ perceived risk associated with destination visits, among which homophily has the greatest influence. Lower levels of perceived risk are associated with higher perceived information usefulness, thus boosting tourists’ eWOM involvement and intention to visit a destination.

Results offer practical implications for how the tourism industry can exploit eWOM as an information source that consumers frequently consult. The results are also valuable for Destination Marketing Organizations, allowing them to determine what type of information promotes positive tourist attitudes and behaviors toward destinations.

To the best of the authors’ knowledge, this study is one of the first studies to examine the interaction between eWOM credibility, perceived risk and information usefulness and their effect on consumer behaviors in the tourism context.

eWOM 来源可信度对目的地访问意愿和在线参与的影响：以中国游客为例

本研究调查了 eWOM 来源可信度、感知风险和信息有用性之间的关系, 以及它们如何影响游客的目的地访问意图和在线评论参与度。

这项定量研究的数据是通过对 460 名参与者的在线调查收集的, 并使用偏最小二乘法分析。

eWOM 来源可信度的所有四个维度都降低了旅行者与目的地访问相关的感知风险, 其中同质性影响最大。较低的感知风险水平与较高的感知信息有用性相关, 从而提高游客的 eWOM 参与度和访问目的地的意愿。

本研究结果为旅游业如何利用 eWOM 作为消费者经常咨询的信息源提供了实际意义。结果对 DMO 也很有价值, 使他们能够确定哪些类型的信息可以促进游客对目的地的积极态度和行为。

本论文是首批研究 eWOM 可信度、感知风险和信息有用性之间的相互作用及其对旅游背景下消费者行为的影响的研究之一。

This study aims to examine the components and evolution of the Chinese wine festival market using the Dalian International Wine and Dine Festival (DIWDF) as a case study.

Adopting a longitudinal approach, survey data were collected from attendees of the first, fifth and seventh DIWDF in 2012, 2016 and 2018, respectively. Cluster analysis segmented attendees by wine and festival experience and consumption features. Comparative analysis was conducted to examine segment differences by demography, festival motivation, satisfaction and intention. Changes in segments over time were examined across the three times.

The following three clusters were identified: “wine-novice fest-newbies,” “occasional drinker fest-goers” and “wine-lover fest-enthusiasts.” Over the study period, the proportion of “wine-lover fest-enthusiasts” increased significantly while the percentages of the other two segments decreased, demonstrating the evolution of the Chinese wine festival market and their consumer impacts.

This study offers straightforward indicators of market value via consumption features for both wine businesses and festival organizers. The characteristics of the segments and their inter-linkage have important implications for developing product mix, targeting strategies, festival service design and market development.

This is the first known empirical research globally to investigate relationships among market segments both horizontally (differences between segments) and vertically (development over time) and to incorporate both wine- and festival-related consumption features.

This paper aims to investigate the relationships between motivation and intention to consume local food and between intention to consume local food and intention to visit the destination of that food's origin while examining the moderating effect of risk perception associated with coronavirus disease 2019 (COVID-19).

Data were collected from two samples of potential Chinese tourists in the contexts of Italian and Thai food. Data obtained from 264 Chinese respondents for Italian food and 277 Chinese respondents for Thai food were analyzed. Partial least squares structural equation modeling was utilized to test the research model.

The results indicate that, while motivational factors such as cultural experience, novelty and sensory appeal influence potential Chinese tourists' intention to consume Italian food, motivational factors such as cultural experience, health concern, novelty and sensory appeal influence tourists' intention to consume Thai food. The authors found that intention to consume local food positively influences tourists' intention to visit both destinations (Italy and Thailand). Moreover, tourists' risk perceptions of COVID-19 negatively moderate the effect of cultural experience and novelty on the intention to consume Italian food. Regarding the intention to consume Thai food, the authors found that tourists' risk perceptions have a diminishing effect on all motivational factors.

This pioneering study examines the role of COVID-19-related risk perception on the relationships among motivation of local food consumption, intention of local food consumption and destination visit intention in the context of two destination countries. It reveals cross-country differences of the negative effect pertaining to the risk perceptions of COVID-19, which has important implications for international destination marketing.

At present, one of the key equipment in pillar industries is a large rotating machinery. Conducting regular health monitoring is important for ensuring safe operation of the large rotating machinery. Because vibrations sensors play an important role in the workings of the rotating machinery, measuring its vibration signal is an important task in health monitoring. This paper aims to present these.

In this work, the contact vibration sensor and the non-contact vibration sensor have been discussed. These sensors consist of two types: the electric vibration sensor and the optical fiber vibration sensor. Their applications in the large rotating machinery for the purpose of health monitoring are summarized, and their advantages and disadvantages are also presented.

Compared with the electric vibration sensor, the optical fiber vibration sensor of large rotating machinery has unique advantages in health monitoring, such as provision of immunity against electromagnetic interference, requirement of less insulation and provision of long-distance signal transmission.

Both contact vibration sensor and non-contact vibration sensor have been discussed. Among them, the electric vibration sensor and the optical fiber vibration sensor are compared. Future research direction of the vibration sensors is presented.

The purpose of the study is to numerically investigate the relationship between the increase in transaction cost and prolongation of cooperative period acting as a nonmonetary incentive for municipal PPP projects.

A model that combines real option theory and the concept of prospect theory is proposed in the study. Three municipal road PPP projects published by China Public Private Partnerships Center are selected as cases. The data of these cases are analyzed based on the model established.

The prolongation of the cooperative period affects the increase in transaction cost, which gradually decreases when the prolonged cooperative period increases. Furthermore, the large-investment PPP projects own more transaction cost compared with less-investment projects. The decrease in transaction cost in the former is less than that in the latter. The increase in transaction cost is evidently alleviated in a project with less investment when the cooperative period is prolonged further.

The study systematically analyzes the relationship among transaction cost economics, real option theory and prospect theory and proposes a theoretical flowchart of the effect of nonmonetary incentive on the transaction cost. A model to quantify the effect of nonmonetary incentive (i.e. prolongation of cooperative period) on the transaction cost is proposed for the first time. The results of the study verify that the nonmonetary incentive affects transaction cost.