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Haiyan Kong
Department of Tourism Management, Business School, Shandong University (Weihai), 180 Wenhua Xilu, Weihai, Shandong Province, 264209, People's Republic of China

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Journal article
Published: 26 August 2021 in Journal of Destination Marketing & Management
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This paper surveyed 620 respondents who visited Camel Xiangzi Museum (CXM) in Qingdao, China. The research extracted five factors from 18 travel motivations. The top three motivation factors are strongly associated with the author, his residence, and heritage. These three motivations are described as an acronym HAIR (heritage, author, intellectual, and residence). Based on the five motivation factors, the researchers grouped the visitors into three clusters: “Literary Motivated”, “Literary Inspired” and “Literary Neutral”. Literary Motivated visitors stayed comparatively longer than did the other two clusters. The cluster with the highest motivation factor scores also has the highest satisfaction. It was also found that the closer to CXM the visitors live, the higher the satisfaction. This paper contributes to the identification of a literary tourist typology to facilitate market segmentation and targeting.

ACS Style

Naipeng (Tom) Bu; Steve Pan; Haiyan Kong; Xiaoxiao Fu; Bingna Lin. Profiling literary tourists: A motivational perspective. Journal of Destination Marketing & Management 2021, 22, 100659 .

AMA Style

Naipeng (Tom) Bu, Steve Pan, Haiyan Kong, Xiaoxiao Fu, Bingna Lin. Profiling literary tourists: A motivational perspective. Journal of Destination Marketing & Management. 2021; 22 ():100659.

Chicago/Turabian Style

Naipeng (Tom) Bu; Steve Pan; Haiyan Kong; Xiaoxiao Fu; Bingna Lin. 2021. "Profiling literary tourists: A motivational perspective." Journal of Destination Marketing & Management 22, no. : 100659.

Journal article
Published: 17 July 2021 in Annals of Tourism Research
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This study empirically tests the role of news discourse in forecasting tourist arrivals by examining Hong Kong. It employs structural topic modeling to identify key topics and their meanings related to tourism demand. The impact of the extracted news topics on tourist arrivals is then examined to forecast tourism demand using the seasonal autoregressive integrated moving average with the selected news topic variables method. This study confirms that including news data significantly improves forecasting performance. Our forecasting model using news topics also outperformed the others when the destination was experiencing social unrest at the local level. These findings contribute to tourism demand forecasting research by incorporating discourse analysis and can help tourism destinations address various externalities related to news media.

ACS Style

Eunhye Park; Jinah Park; Mingming Hu. Tourism demand forecasting with online news data mining. Annals of Tourism Research 2021, 90, 103273 .

AMA Style

Eunhye Park, Jinah Park, Mingming Hu. Tourism demand forecasting with online news data mining. Annals of Tourism Research. 2021; 90 ():103273.

Chicago/Turabian Style

Eunhye Park; Jinah Park; Mingming Hu. 2021. "Tourism demand forecasting with online news data mining." Annals of Tourism Research 90, no. : 103273.

Research article
Published: 18 June 2021 in Journal of Travel Research
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During recent decades numerous academics have examined the tourism-led economic growth (TLEG) hypothesis, and a large number of related empirical studies have been published in the tourism literature. However, the research designs for many of these studies have not satisfactorily addressed the theoretical foundation that underpins the TLEG hypothesis. Their empirical analyses may therefore lead to unreliable or even misleading conclusions. This study critically evaluates these TLEG studies from both theoretical and empirical perspectives and provides recommendations for future TLEG studies.

ACS Style

Haiyan Song; Doris Chenguang Wu. A Critique of Tourism-Led Economic Growth Studies. Journal of Travel Research 2021, 1 .

AMA Style

Haiyan Song, Doris Chenguang Wu. A Critique of Tourism-Led Economic Growth Studies. Journal of Travel Research. 2021; ():1.

Chicago/Turabian Style

Haiyan Song; Doris Chenguang Wu. 2021. "A Critique of Tourism-Led Economic Growth Studies." Journal of Travel Research , no. : 1.

Journal article
Published: 04 May 2021 in Journal of Destination Marketing & Management
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Due to increasing accessibility and mobility, tourism destinations are broadening their spatial boundaries and cultural contexts. This study took as an example the Guangdong–Hong Kong–Macao Greater Bay Area, which consists of 11 cities, and explored how the new path creation of a regional tourism destination reshapes people's cognitive and affective images of the destination on a megalopolitan scale. Destination region image is neither a simple aggregation of the images of member cities nor dictated by the image of a single well-known destination. Both the physical and conceptual connections among multiple cities within the destination region are key nodes of the inclusive image of the region. Connectivity is not only embedded within institutional relations and discourses, but also represented through multi-functional tourism networks and regional culture. The study further explored the image heterogeneity of three proximity-based tourist clusters, divided in terms of cultural and geographical distance and previous travel experience. The research findings of this study can inform planning and marketing strategies for the path creation and development of metropolitan destination regions.

ACS Style

Jinah Park; Haiyan Song. Variance of destination region image according to multi-dimensional proximity: A case of the Greater Bay Area. Journal of Destination Marketing & Management 2021, 20, 100600 .

AMA Style

Jinah Park, Haiyan Song. Variance of destination region image according to multi-dimensional proximity: A case of the Greater Bay Area. Journal of Destination Marketing & Management. 2021; 20 ():100600.

Chicago/Turabian Style

Jinah Park; Haiyan Song. 2021. "Variance of destination region image according to multi-dimensional proximity: A case of the Greater Bay Area." Journal of Destination Marketing & Management 20, no. : 100600.

Research article
Published: 20 April 2021 in International Journal of Tourism Research
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Limited historical data are the primary cause of the failure of tourism forecasts. Bayesian bootstrap aggregation (BBagging) may offer a solution to this problem. This study is the first to apply BBagging to tourism demand forecasting. An analysis of annual and quarterly tourism demand for Hong Kong shows that BBagging can, in general, improve the forecasting accuracy of the econometric models obtained using the general‐to‐specific (GETS) approach by reducing, relative to the ordinary bagging method, the variability in the posterior distributions of the forecasts it generates.

ACS Style

Haiyan Song; Anyu Liu; Gang Li; Xinyang Liu. Bayesian bootstrap aggregation for tourism demand forecasting. International Journal of Tourism Research 2021, 1 .

AMA Style

Haiyan Song, Anyu Liu, Gang Li, Xinyang Liu. Bayesian bootstrap aggregation for tourism demand forecasting. International Journal of Tourism Research. 2021; ():1.

Chicago/Turabian Style

Haiyan Song; Anyu Liu; Gang Li; Xinyang Liu. 2021. "Bayesian bootstrap aggregation for tourism demand forecasting." International Journal of Tourism Research , no. : 1.

Editorial
Published: 06 April 2021 in Annals of Tourism Research
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ACS Style

Haiyan Song; Gang Li. Editorial: Tourism forecasting competition in the time of COVID-19. Annals of Tourism Research 2021, 88, 103198 .

AMA Style

Haiyan Song, Gang Li. Editorial: Tourism forecasting competition in the time of COVID-19. Annals of Tourism Research. 2021; 88 ():103198.

Chicago/Turabian Style

Haiyan Song; Gang Li. 2021. "Editorial: Tourism forecasting competition in the time of COVID-19." Annals of Tourism Research 88, no. : 103198.

Journal article
Published: 26 February 2021 in Journal of China Tourism Research
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This study aims to explore tourists’ satisfaction with cruise services and the gap between expectation and satisfaction, focusing on Chinese outbound tourists traveling to South Korea. Using a mixed-methods approach, in-depth interviews were conducted to summarize items of cruise services for measurement; importance–performance analysis was performed to simultaneously examine the matching degree between tourists’ perceived importance and performance. Tourists’ expectation is measured by the side of importance, meanwhile, performance represents their satisfaction. This study suggests that cruising is an important way for Chinese tourists to travel abroad, and tourists were generally satisfied with the services provided by immigration, customs, and the cruises. However, a gap remains between the perceived expectation and satisfaction. In terms of cruise service, the most important item was the good language and communication skills of the staff, and the most satisfactory performance was the effective boarding service. The biggest gap was observed in the effective service of handling ticket bookings, cancellations, and confirmations. The results of this study can provide insight into enhancing cruise services and marketing, specifically for companies working with the Chinese market.

ACS Style

Haiyan Kong; Fevzi Okumus; Roya Rahimi; Naipeng Bu; Zihan Yin. Can Cruise Services Satisfy Chinese Outbound Travelers? An Importance–Performance Analysis. Journal of China Tourism Research 2021, 1 -16.

AMA Style

Haiyan Kong, Fevzi Okumus, Roya Rahimi, Naipeng Bu, Zihan Yin. Can Cruise Services Satisfy Chinese Outbound Travelers? An Importance–Performance Analysis. Journal of China Tourism Research. 2021; ():1-16.

Chicago/Turabian Style

Haiyan Kong; Fevzi Okumus; Roya Rahimi; Naipeng Bu; Zihan Yin. 2021. "Can Cruise Services Satisfy Chinese Outbound Travelers? An Importance–Performance Analysis." Journal of China Tourism Research , no. : 1-16.

Journal article
Published: 16 January 2021 in Annals of Tourism Research
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The profound impact of the coronavirus disease 2019 (COVID-19) pandemic on global tourism activity has rendered forecasts of tourism demand obsolete. Accordingly, scholars have begun to seek the best methods to predict the recovery of tourism from the devastating effects of COVID-19. In this study, econometric and judgmental methods were combined to forecast the possible paths to tourism recovery in Hong Kong. The autoregressive distributed lag-error correction model was used to generate baseline forecasts, and Delphi adjustments based on different recovery scenarios were performed to reflect different levels of severity in terms of the pandemic's influence. These forecasts were also used to evaluate the economic effects of the COVID-19 pandemic on the tourism industry in Hong Kong.

ACS Style

Hanyuan Zhang; Haiyan Song; Long Wen; Chang Liu. Forecasting tourism recovery amid COVID-19. Annals of Tourism Research 2021, 87, 103149 .

AMA Style

Hanyuan Zhang, Haiyan Song, Long Wen, Chang Liu. Forecasting tourism recovery amid COVID-19. Annals of Tourism Research. 2021; 87 ():103149.

Chicago/Turabian Style

Hanyuan Zhang; Haiyan Song; Long Wen; Chang Liu. 2021. "Forecasting tourism recovery amid COVID-19." Annals of Tourism Research 87, no. : 103149.

Journal article
Published: 14 December 2020 in Tourism Management
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This study proposes a hierarchical pattern recognition method for tourism demand forecasting. The hierarchy consists of three tiers: the first tier recognizes the calendar pattern of tourism demand, identifying work days and holidays and integrating “floating holidays.” The second tier recognizes the tourism demand pattern in the data stream for different calendar pattern groups. The third tier generates forecasts of future tourism demand. Evidence from daily tourist visits to three attractions in China shows that the proposed method is effective in forecasting daily tourism demand. Moreover, the treatment of “floating holidays” turns out to be more effective and flexible than the commonly adopted dummy variable approach.

ACS Style

Mingming Hu; Richard T.R. Qiu; Doris Chenguang Wu; Haiyan Song. Hierarchical pattern recognition for tourism demand forecasting. Tourism Management 2020, 84, 104263 .

AMA Style

Mingming Hu, Richard T.R. Qiu, Doris Chenguang Wu, Haiyan Song. Hierarchical pattern recognition for tourism demand forecasting. Tourism Management. 2020; 84 ():104263.

Chicago/Turabian Style

Mingming Hu; Richard T.R. Qiu; Doris Chenguang Wu; Haiyan Song. 2020. "Hierarchical pattern recognition for tourism demand forecasting." Tourism Management 84, no. : 104263.

Research article
Published: 26 November 2020 in Journal of Travel Research
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Although numerous studies have focused on forecasting international tourism demand, minimal light has been shed on the factors influencing the accuracy of real-world ex ante forecasting. This study evaluates the forecasting errors across various prediction horizons by analyzing the annually published forecasts of the Pacific Asia Tourism Association (PATA) from 2013 to 2017, comprising 765 origin–destination pairs covering 31 destinations in the region. The regression analysis shows that the variation in tourism demand and gross domestic product (GDP), covariation between tourism demand and GDP, order of lagged variables, origin, destination, and forecasting method all have significant effects on the forecasting accuracy over different horizons. This suggests that tourism forecasting should account for these factors in the future.

ACS Style

Anyu Liu; Vera Shanshan Lin; Gang Li; Haiyan Song. Ex Ante Tourism Forecasting Assessment. Journal of Travel Research 2020, 1 .

AMA Style

Anyu Liu, Vera Shanshan Lin, Gang Li, Haiyan Song. Ex Ante Tourism Forecasting Assessment. Journal of Travel Research. 2020; ():1.

Chicago/Turabian Style

Anyu Liu; Vera Shanshan Lin; Gang Li; Haiyan Song. 2020. "Ex Ante Tourism Forecasting Assessment." Journal of Travel Research , no. : 1.

Journal article
Published: 07 July 2020 in Annals of Tourism Research
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The severe acute respiratory syndrome coronavirus 2 is currently spreading across the world at an alarming rate, resulting in the coronavirus disease 2019 pandemic. Amidst this crisis, tourism scholars are directing their attention to communities at tourist destinations, looking at their safety and well-being and the costs that they will bear due to the cessation of tourism activity. This article describes residents' perceptions of the risks posed by tourism activity, and estimates their willingness to pay to reduce public health risks based on hypothetical scenarios, using the triple-bounded dichotomous choice contingent valuation method. The social costs in three urban destinations are assessed and compared. Based on the findings, suggestions are made for appropriate post-pandemic recovery actions by local authorities and tourism organizations.

ACS Style

Richard T.R. Qiu; Jinah Parkb; Shi Na Lic; Haiyan Songb. Social costs of tourism during the COVID-19 pandemic. Annals of Tourism Research 2020, 84, 102994 -102994.

AMA Style

Richard T.R. Qiu, Jinah Parkb, Shi Na Lic, Haiyan Songb. Social costs of tourism during the COVID-19 pandemic. Annals of Tourism Research. 2020; 84 ():102994-102994.

Chicago/Turabian Style

Richard T.R. Qiu; Jinah Parkb; Shi Na Lic; Haiyan Songb. 2020. "Social costs of tourism during the COVID-19 pandemic." Annals of Tourism Research 84, no. : 102994-102994.

Research article
Published: 04 June 2020 in Journal of Hospitality & Tourism Research
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This study provides innovative forecasts of the probabilities of certain scenarios of tourism demand. The scenarios of interest are constructed in relation to tourism growth and economic growth. The probability forecasts based on these scenarios provide valuable information for destination policy makers. The time-varying parameter panel vector autoregressive (TVP-PVAR) model is adopted for scenario forecasting. Both the accuracy rate and the Brier score are used to evaluate the forecasting performance. A global set of 25 tourism destinations is empirically examined, and the results confirm that the TVP-PVAR model with a time-varying error covariance matrix is generally a promising tool for forecasting. Our study contributes to tourism forecasting literature in advocating the use of scenario forecasting to facilitate industry decision making in situations wherein forecasts are defined by two or more dimensions simultaneously. In addition, it is the first study to introduce the TVP-PVAR model to tourism demand forecasting.

ACS Style

Doris Chenguang Wu; Zheng Cao; Long Wen; Haiyan Song. Scenario Forecasting for Global Tourism. Journal of Hospitality & Tourism Research 2020, 45, 28 -51.

AMA Style

Doris Chenguang Wu, Zheng Cao, Long Wen, Haiyan Song. Scenario Forecasting for Global Tourism. Journal of Hospitality & Tourism Research. 2020; 45 (1):28-51.

Chicago/Turabian Style

Doris Chenguang Wu; Zheng Cao; Long Wen; Haiyan Song. 2020. "Scenario Forecasting for Global Tourism." Journal of Hospitality & Tourism Research 45, no. 1: 28-51.

Journal article
Published: 17 May 2020 in Journal of Destination Marketing & Management
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In light of intensified competition among destinations, tourism collaborations are used to enhance a region's attractiveness. Yet tourism collaboration in its pure form is rarely observed because destinations tend to be excludable and rivalrous. To better reflect this reality, the concept of coopetition has emerged. Coopetitive marketing, especially within the cross-border region at the macro level, is underdeveloped in tourism literature. This study assesses the prospect of developing a coopetitive brand of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), which spans geographical, political, ideological, and jurisdictional borders. Based on cross-sectional survey in six member cities in the GBA (N = 2135), this study investigates homogeneity and heterogeneity of the cities' existing destination images, and identifies the effects of identity salience (residents and short- versus long-haul tourists) and of borders (SARs versus Mainland). Theoretically, this study consolidates the concept of coopetition and cross-border marketing in the light of different stakeholders' perceptions. The findings underpin the uniqueness of the member cities with unity in a possible common brand.

ACS Style

Ksenia Kirillova; Jinah Park; Mingyang Zhu; Leonardo (Don) Dioko; Guojun Zeng. Developing the coopetitive destination brand for the Greater Bay Area. Journal of Destination Marketing & Management 2020, 17, 100439 .

AMA Style

Ksenia Kirillova, Jinah Park, Mingyang Zhu, Leonardo (Don) Dioko, Guojun Zeng. Developing the coopetitive destination brand for the Greater Bay Area. Journal of Destination Marketing & Management. 2020; 17 ():100439.

Chicago/Turabian Style

Ksenia Kirillova; Jinah Park; Mingyang Zhu; Leonardo (Don) Dioko; Guojun Zeng. 2020. "Developing the coopetitive destination brand for the Greater Bay Area." Journal of Destination Marketing & Management 17, no. : 100439.

Articles
Published: 14 May 2020 in Journal of China Tourism Research
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This study addresses issues affecting tourism development at the county level. Although destination image and competitiveness have been subject of extensive research, few studies have investigated their complex relationships at the county level of tourism planning. Yanggu County of China’s Shandong Province was used as a case in this study. Interviews were conducted with government officials, tourism planners, and local residents in order to obtain their perspectives on the roles of planning in enhancing destination image and competitiveness. Theoretically, this research contributes to the destination development literature. Practically, through analyzing county tourism planning, the study is also useful for understanding the formation of favorable or desirable images, and for enhancing the competitiveness of the county as a destination.

ACS Style

Naipeng (Tom) Bu; Haiyan Kong; Shun Ye. County Tourism Development in China: A Case Study. Journal of China Tourism Research 2020, 17, 249 -272.

AMA Style

Naipeng (Tom) Bu, Haiyan Kong, Shun Ye. County Tourism Development in China: A Case Study. Journal of China Tourism Research. 2020; 17 (2):249-272.

Chicago/Turabian Style

Naipeng (Tom) Bu; Haiyan Kong; Shun Ye. 2020. "County Tourism Development in China: A Case Study." Journal of China Tourism Research 17, no. 2: 249-272.

Research article
Published: 19 March 2020 in Journal of Hospitality & Tourism Research
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Commercial hosts are becoming increasingly common in peer-to-peer (P2P) accommodation sharing. Yet the interplay between commercial and individual hosts has been unclear. This study investigates the effect of properties managed by commercial hosts on the individual hosts in the neighborhood. Specifically, we hypothesize that an increase in commercial properties, which have competitive advantages, would penetrate neighborhood markets and cannibalize the online popularity of individual properties. We test these hypotheses using a large-scale, longitudinal data set collected from a leading P2P accommodation-sharing platform in Beijing. The findings show that an increase in commercial properties is associated with a decline in the popularity of individual properties in the neighborhood. However, the negative effect of commercial properties is weakened when there is a higher price difference between the two ownership types and a higher density of tourist attractions. The implications for service operations and strategies for P2P accommodation-sharing businesses are discussed.

ACS Style

Jianwei Liu; Jinah Park; Karen Xie; Haiyan Song; Wei Chen. Effect of Commercial Neighbors on The Online Popularity of Peer-To-Peer Accommodation-Sharing Properties. Journal of Hospitality & Tourism Research 2020, 44, 780 -805.

AMA Style

Jianwei Liu, Jinah Park, Karen Xie, Haiyan Song, Wei Chen. Effect of Commercial Neighbors on The Online Popularity of Peer-To-Peer Accommodation-Sharing Properties. Journal of Hospitality & Tourism Research. 2020; 44 (5):780-805.

Chicago/Turabian Style

Jianwei Liu; Jinah Park; Karen Xie; Haiyan Song; Wei Chen. 2020. "Effect of Commercial Neighbors on The Online Popularity of Peer-To-Peer Accommodation-Sharing Properties." Journal of Hospitality & Tourism Research 44, no. 5: 780-805.

Research article
Published: 16 March 2020 in Journal of Travel Research
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Search query data reflect users’ intentions, preferences and interests. The interest in using such data to forecast tourism demand has increased in recent years. The mixed data sampling (MIDAS) method is often used in such forecasting, but is not effective when moving average (MA) dynamics are involved. To investigate the relevance of the MA components in MIDAS models to tourism demand forecasting, an improved MIDAS model that integrates MIDAS and the seasonal autoregressive integrated moving average process is proposed. Its performance is tested by forecasting monthly tourist arrivals in Hong Kong from mainland China with daily composite indices constructed from a large number of search queries using the generalized dynamic factor model. The forecasting results suggest that this new model significantly outperforms the benchmark model. In addition, comparing the forecasts and nowcasts shows that the latter generally outperforms the former.

ACS Style

Long Wen; Chang Liu; Haiyan Song; Han Liu. Forecasting Tourism Demand with an Improved Mixed Data Sampling Model. Journal of Travel Research 2020, 60, 336 -353.

AMA Style

Long Wen, Chang Liu, Haiyan Song, Han Liu. Forecasting Tourism Demand with an Improved Mixed Data Sampling Model. Journal of Travel Research. 2020; 60 (2):336-353.

Chicago/Turabian Style

Long Wen; Chang Liu; Haiyan Song; Han Liu. 2020. "Forecasting Tourism Demand with an Improved Mixed Data Sampling Model." Journal of Travel Research 60, no. 2: 336-353.

Journal article
Published: 08 December 2019 in Sustainability
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This study sought to explore the influence of perceived corporate social responsibility (CSR) on organizational identification and organizational commitment. Based on extensive literature review, the theoretical model was proposed. Perceived CSR was developed as the determinant, organizational identification as the mediator, and organizational commitment as the outcome. Targeting highly educated employees, this study surveyed employees with bachelor degrees or above. A total of 836 data were collected, and structural equation modeling was analyzed with statistical software AMOS 21.0 software. The findings indicated that perceived CSR contributed positively to organizational identification and commitment. Apart from the direct positive effect on organizational commitment, organizational identification also mediated the relationship between perceived CSR and employee loyalty. The study highlighted the importance of fulfilling social responsibilities, encouraged managers to understand young well-educated employees from different perspectives, and also shed light on performing effective human resource management (HRM) activities, which can meet the UN Sustainable Development Goals and accelerate the related development in tourism and hospitality.

ACS Style

Haiyan Kong; Naipeng (Tom) Bu; Yue Yuan; Kangping Wang; YoungHee Ro. Sustainability of Hotel, How Does Perceived Corporate Social Responsibility Influence Employees’ Behaviors? Sustainability 2019, 11, 7009 .

AMA Style

Haiyan Kong, Naipeng (Tom) Bu, Yue Yuan, Kangping Wang, YoungHee Ro. Sustainability of Hotel, How Does Perceived Corporate Social Responsibility Influence Employees’ Behaviors? Sustainability. 2019; 11 (24):7009.

Chicago/Turabian Style

Haiyan Kong; Naipeng (Tom) Bu; Yue Yuan; Kangping Wang; YoungHee Ro. 2019. "Sustainability of Hotel, How Does Perceived Corporate Social Responsibility Influence Employees’ Behaviors?" Sustainability 11, no. 24: 7009.

Journal article
Published: 20 November 2019 in International Journal of Hospitality Management
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This study explores middle and senior hotel managers’ perceptions of their own idiosyncratic deals (i-deals) and develops a scale to measure i-deals in the Chinese hospitality industry. The study uses a mixed research method consisting of a questionnaire survey of 675 middle and senior hotel managers and in-depth interviews with 20 knowledge workers in the hotel industry in mainland China. The findings reveal that there are three types of i-deals in the Chinese hospitality industry: (1) career and incentives i-deals; (2) task i-deals; and (3) flexibility i-deals. The study proposes and validates a three-dimensional scale of hotel managers’ i-deals, thereby enriching our understanding of the idiosyncratic terms of employment in the hospitality industry.

ACS Style

Ning Sun; Haiyan Song; Naipeng Bu. Development and validation of a hospitality idiosyncratic deals scale. International Journal of Hospitality Management 2019, 91, 102416 .

AMA Style

Ning Sun, Haiyan Song, Naipeng Bu. Development and validation of a hospitality idiosyncratic deals scale. International Journal of Hospitality Management. 2019; 91 ():102416.

Chicago/Turabian Style

Ning Sun; Haiyan Song; Naipeng Bu. 2019. "Development and validation of a hospitality idiosyncratic deals scale." International Journal of Hospitality Management 91, no. : 102416.

Journal article
Published: 31 October 2019 in Annals of Tourism Research
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The proliferation of accommodation-sharing platforms has changed the ways in which people travel and experience tourist attractions. However, the impact of accommodation sharing on attractions remains under-researched. To fill this gap in the research, we use a mixed methods approach to examine the spillover effect in two key tourism service suppliers. Using difference-in-differences estimations with two-way fixed effects, we find a 15.4% increase in an attraction's online popularity after the entry of accommodation sharing. This positive spillover effect is reduced when the density of commercially operated properties is higher. The qualitative findings speak to the mechanism behind the estimated spillover effect, which involves three dimensions of variation in accommodation sharing and the salient use of mobile technology in modern travel.

ACS Style

Haiyan Song; Karen Xie; Jinah Park; Wei Chen. Impact of accommodation sharing on tourist attractions. Annals of Tourism Research 2019, 80, 102820 .

AMA Style

Haiyan Song, Karen Xie, Jinah Park, Wei Chen. Impact of accommodation sharing on tourist attractions. Annals of Tourism Research. 2019; 80 ():102820.

Chicago/Turabian Style

Haiyan Song; Karen Xie; Jinah Park; Wei Chen. 2019. "Impact of accommodation sharing on tourist attractions." Annals of Tourism Research 80, no. : 102820.

Journal article
Published: 19 October 2019 in Journal of Destination Marketing & Management
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Examines the effects of terrorist attacks on tourist flow to France. Estimates a gravity model to assess the effect of terrorism on tourist flows. Uses an equation system to assess the substitution effects of wine tourism. Terrorist attacks have a negative effect on the inbound tourist flows. Wine tourism serves as a substitute for urban tourism following terrorist attacks.

ACS Style

Haiyan Song; Florine Livat; Shun Ye. Effects of terrorist attacks on tourist flows to France: Is wine tourism a substitute for urban tourism? Journal of Destination Marketing & Management 2019, 14, 100385 .

AMA Style

Haiyan Song, Florine Livat, Shun Ye. Effects of terrorist attacks on tourist flows to France: Is wine tourism a substitute for urban tourism? Journal of Destination Marketing & Management. 2019; 14 ():100385.

Chicago/Turabian Style

Haiyan Song; Florine Livat; Shun Ye. 2019. "Effects of terrorist attacks on tourist flows to France: Is wine tourism a substitute for urban tourism?" Journal of Destination Marketing & Management 14, no. : 100385.