An application of network analysis on tourist attractions: The case of Xinjiang,China

This study constitutes a novel application of network analysis to explore the underlying mechanisms of tourist attraction network informed by tourist flows. Using survey data collected from a sample of 456 tourists visiting Xinjiang, China, the study applies the Quadratic Assignment Procedure (QAP) to test the relationships between region proximity, grade proximity, and tenure proximity, and the attraction network determined by tourists' free choice movements. Results show that while region proximity and tenure proximity among major attractions in a destination were positively related to attraction network, grade proximity was negatively related to the attraction network, indicating that same grade attractions were mostly competing with one another for tourists. The study contributes to the methodological development of social network analysis in tourism and advances understanding of demand-driven network relationships among tourist attractions in a destination. Destination management implications are discussed.     

企业如何利用社会网络提升吸收能力

在知识经济的背景下,吸收能力被认为是企业提升绩效和增强创新的战略能力.社会网络被认为可以对潜在的吸收能力和实现的吸收能力都产生积极影响.本文从社会网络的关系层面,从外部和内部两个视角,分别阐述了社会网络如何影响吸收能力的两个维度.本文还从提升吸能力的视角,提出了有效构建和维护社会网络的措施.     

Forecasting accuracy evaluation of tourist arrivals

This paper evaluates the use of several parametric and nonparametric forecasting techniques for predicting tourism demand in selected European countries. We find that no single model can provide the best forecasts for any of the countries in the short-, medium- and long-run. The results, which are tested for statistical significance, enable forecasters to choose the most suitable model (from those evaluated here) based on the country and horizon for forecasting tourism demand. Should a single model be of interest, then, across all selected countries and horizons the Recurrent Singular Spectrum Analysis model is found to be the most efficient based on lowest overall forecasting error. Neural Networks and ARFIMA are found to be the worst performing models.     

Passenger recovery after an airport closure at tourist destinations: A case study of Palma de Mallorca airport

In the context of increased concern about the resilience of critical transport infrastructure to external events and the impact of such events on local tourism industries, this paper analyzes the ability of tourism-oriented airports to relocate departing passengers in the event of an unexpected airport closure. A case study of Palma de Mallorca airport is presented. Using an MIDT dataset on passenger itineraries in August 2014, several closure scenarios are simulated, and disrupted passengers are relocated to minimum-delay itineraries. Aggregate delays and relocation rates are used to assess the impact of each scenario, with a particular focus on UK and Germany markets. The results provide useful benchmarks for the development of policies aimed at minimizing the impact on stranded tourists, such as allowing for passenger connections, establishing a protocol for interline cooperation, and improving intermodal transfers. These measures will help mitigate the negative impacts on airline loyalty and destination image.     

Tourist Guides and Job Related Problems,Analysis and Evidence from Jordan

This study investigates the challenges that professional Jordanian tourist guides may encounter. The implication of this research stems from the fact that very little research, at least in Jordan, has addressed the problems that tourist guides encounter. Qualitative methods, using participants’ observations and in-depth interviewing methods, were used to generate insights from the collected data. The results reveal multiple critical challenges that impact the professional stability of tourist guides. Further efforts are required to fully understand the needs of tourist guides.     

Sunk costs and travel cancellation: Focusing on temporal cost

Tourism products differ from ordinary retail products in terms of the spatial and temporal separation between the purchase and experiencing the product. Despite its importance, temporal separation has not drawn much attention in tourism research. The main objective of this study is to understand the effects of temporal sunk costs on potential travelers' cancellation intentions, in addition to monetary sunk costs. The results of this study suggested the possibility that temporal costs can be converted into monetary costs, but the conversion relationship may not be linear. This study also indicated that travelers' intentions to cancel a travel product decreased as the temporal and monetary sunk costs increased. Further, prior experience moderated the relationship when temporal sunk costs were involved, suggesting that repeat visitors' intentions to cancel their reservations are more influenced by temporal sunk costs than first-time visitors. Further discussion and implications are provided in the main body of this paper.     

论贵州旅游产品的开发——从旅游心理角度

分析旅游产品及其心理学价值,从心理学的角度探讨了旅游的心理与行为意义,并尝试以旅游消费心理发展的新动向为出发点,以旅游产品为对象,对贵州旅游产品的开发的进行心理学的思考。     

Reconstructing the globalisation of tourism: A geo-historical perspective

This article deals with methodological problems that emerge when trying to construct the necessary information for the reconstruction of the spatial pattern of tourist places on a global scale. A methodology in order to construct a data set on the globalisation of tourism is put forward. It reflects upon the possibility to date the emergence and reproduction of destinations at different moments since 1800. As a solution, we propose to use tourist guidebooks published since 1800 as a source, from which different elements can be extracted.     

Synergizing independent and cooperative R&D activities: the effects of organisational slack and absorptive capacity

Firms undertaking independent and cooperative research and development (R&D) activities simultaneously often have difficulties to realise their synergistic effects. This study contends that such difficulties are caused by tensions between two types of R&D activities in terms of resource competition and knowledge leakage. Moreover, organisational slack and absorptive capacity may affect these tensions and thereby play important role in synergizing independent and cooperative R&D activities. Based on a survey data of 286 firms, this study finds that such two types of R&D activities jointly have a negative impact on firm performance. Furthermore, organisational slack aids in synergizing them, while absorptive capacity has an adverse impact. These findings enrich our knowledge on the interrelation of independent and cooperative R&D activities and shed light on how firms can synergize them.     

How collaborative routines improve dynamic innovation capability and performance in tourism industry? A path-dependent learning model

Current results of direct relationships between collaboration and innovation capability on performance in tourism contexts are inconsistent. This research is to uncover roles of collaborative routines on promoting relationships between internal and service innovation capabilities as two distinct mechanisms, and performance. The study also examines the contingent effect of knowledge search on performance. Survey data from 181 samples from the Thai tourism industry are gathered for analyses. Findings demonstrate that knowledge search and internal innovation capability have a direct impact on performance, whereas the effect of service innovation capability on performance is significant only in the presence of collaborative routines.