Sponsor(s):Tourism College Of Beijing Union University
12 issues per year
Current Issue: Issue 12, 2018
Journal official website:www.lyxk.com.cn
Tourism Tribune is supervised by Beijing Municipal Education Commission, and sponsored by Tourism College of Beijing Union University. It aims to reflect the latest achievements of tourism research and problems in the practice of tourism in China, which provides reference and inspiration for the development of tourism research and tourism industry in China. Its scope covers the forefront of China’s tourism research, key issues, difficult problems, and the development of China’s tourism industry and tourism trends. The journal is included in CSSCI.
BAO Jigang, XIE Yanjun, Gang LI (UK), Xiang (Robert ) LI (USA), WU Qiaohong, SONG Zhiwei
Knowledge transfer from migrant workers to the local impoverished people in poverty alleviation through tourism
Tourism Tribune,2018,Vol 33,No. 12
This study explored the phenomenon of transferring knowledge from migrant workers to the local impoverished people in poverty alleviation through tourism. From the perspective of strategic needs in poverty alleviation and rural revitalization, poverty alleviation through tourism should speed up the transfer of knowledge and technology from developed to impoverished regions as well as from migrant workers to local impoverished people. However, there are currently flaws in poverty alleviation through tourism knowledge transfer, including insufficient beneficiaries, single knowledge base, and low-level content. Based on the case studies of several poverty-alleviation villages in Guangdong Province, this study provided some references for the implementation of poverty alleviation and rural revitalization strategies by analyzing and summarizing the characteristics of poverty alleviation through tourism knowledge transfer and their impact mechanisms. The findings were as the following. (1) Poverty alleviation through tourism knowledge transfer was a kind of cross-group knowledge transfer that took place between migrant workers and the local impoverished people. The quantity and quality of migrant workers and the social relationships between the two groups had a significant impact on the knowledge transfer efficiency. (2) The government’s altruistic input was based on overcoming the failure of self-coordination mechanisms between migrant workers and the local impoverished people and transforming unconscious knowledge spillover into conscious knowledge transfer, which included inspiring migrant worker’s teaching willingness and local impoverished people’s learning willingness, bearing the transaction cost of cross-group knowledge transferring system, and providing the learning opportunities in practice to local impoverished people. (3) The degree of population organization, planning, and purposiveness between migrant workers and impoverished local people were keys to knowledge transfer efficiency. Although the government’s dominant knowledge-stimulating system was established using a micro perspective of pair or panel knowledge transfer, a medium perspective of multilevel coordination networks and a macro perspective of targeted poverty-alleviation policies were keys to establishing a quasi organization for cross-group knowledge transfer. (4) The analysis of grounded theory put forward a connection between the technical process of knowledge transfer and the reproduction of social relationships. Thus, we showed the formation mechanism of knowledge transfer efficiency in poverty alleviation through tourism and proposed a three-stage model for the mechanism of knowledge transfer efficiency in poverty alleviation through tourism, namely, the input, operation, and output stages, which constituted a complete knowledge transfer cycle. This study not only explored the theoretical dead zone of the micro-occurrence mechanism in poverty alleviation through tourism knowledge transfer, but also broadened research range of knowledge transfer theory. Our contributions were as the following. (1) In terms of knowledge transfer, this study analyzed the conceptual boundary, behavioral characteristics, and influential mechanism of cross-group knowledge transfer processes in poverty alleviation through tourism. Thus, it broadened the scope for application of knowledge transfer theory. (2) In terms of poverty alleviation through the tourism theory, the theoretical dead zone of micro-occurrence mechanism in pro-poor knowledge transfer was analyzed to provide a proposed cross-group knowledge transfer as a new theoretical basis for explaining targeted poverty alleviation. (3) In terms of poverty alleviation through tourism practice, this study proposed a viable solution for accelerating the development of impoverished peoples’ capabilities through knowledge transfer.
Tourism Tribune,2018,Vol 33,No. 12
Taking travel selfies has become a ritualistic practice among tourists in recent years. Travel selfies are characterized by tourists taking photos of themselves with mobile devices, such as smartphones or webcams, especially for sharing via online social media. Therefore, they are a good way for tourists to generate, convey, and share their travel experiences and memories. Taking and sharing travel selfies has received attention from the academic and business sectors alike. Previous research has been mainly based on dark personality traits and concluded that persons with narcissistic personalities tend to take selfies. These studies ignored specific contexts. Therefore, their conclusions do not match tourism scenarios. Tourists cannot be judged by the normal values of being in a usual environment or familiar circumstance because they are in a so-called unusual environment and unfamiliar circumstances. Tourists’ selfie-taking behavior should not be analyzed by only a single dimension of personality traits, such as narcissism. It can also be explored by a personality trait theory with multiple dimensions. The purpose of this study is to use a mixed-methods approach to explore the concept of travel selfie benefits sought by tourists to enable a better understanding about travel selfie-taking behavior and the effects of personality traits on the desired benefits based on the Big Five personality traits theory. An open-ended questionnaire survey was used to produce a pool of items, which was followed by a multistage development study. Thus, a 20-item initial scale of desired travel selfie benefits was developed. An empirical evaluation of the developed instrument was undertaken by using a 5-point Likert scale to measure the desired travel selfie benefits. An exploration factor analysis was conducted to identify the instrument’s dimensions, followed by a confirmatory factor analysis to verify the structure of these dimensions. A stepwise regression was conducted to study the effect of personality traits on the desired travel selfie benefits. The study sample comprised Chinese travelers aged between20 and 39 years old who had shared their travel selfies on online social media in the last 12 months. This age group was believed to be willing to take and share travel selfies. The results were as the following. (1) The emotional experience, self-presentation, and social bonding were three dimensions of desired travel selfie benefits. (2) Agreeableness and openness to experiences had a positive effect on the emotional experience while emotional stability had a negative effect. (3) Extroversion was positive for self-presentation while emotional stability was negative. (4) Extroversion and openness to experiences had a positive effect on social bonding. (5) Conscientiousness had no effect on three dimensions. These results suggested that the desired travel selfie benefits instrument was a multidimensional construct including dimensions from internal experience to external social relationship pursuits. Tourists with different personal traits tended to seek different travel selfie benefits, which resulted in the diversity of travel selfie behavior. This study suggests different management implications to help tourism practitioners to successfully promote their destinations by providing opportunities for selfie-taking and sharing.
Evolution and prediction of the spatial pattern of hotel industry supported by big data: a case study of Wuhan
Tourism Tribune,2018,Vol 33,No. 12
The massive open data accumulated by hotel Internet booking and electronic navigation provide the possibility for long time series and high precision research on urban hotel industry spatio-temporal evolution and prediction. Taking Wuhan as a case, based on big data mining and processing technology, this paper gets the hotel list, attribute data and spatial information of Wuhan hotel industry since 1953, and builds the multi-source data database of hotel industry’s spatial pattern prediction. What is more, using GIS spatial analysis tools, this paper reveals the spatial agglomeration characteristics and spatio-temporal evolution of star hotels and economic chain hotels in Wuhan, and predicts the location and spatial structure in the future. This study finds the following: (1) The spatial distribution of the star hotels, the economic chain hotels and overall hotel industry all shows significant spatial positive correlation, and the degree of spatial agglomeration is continuously strengthened. (2) The spatio-temporal evolution pattern of star hotels and economic chain hotels is heterogeneous in terms of spatial expansion scope, spatial expansion type and hotel micro behavior. In the early stage of star hotels, contact diffusion is dominant, and the later stage is dominated by jump diffusion. The economic chain hotel has been dominated by contact diffusion. Compared with the star hotels, the location and layout strategy of the economic chain hotels shows a stronger centrality. In the recent ten years, the new economic hotel chains are almost located in the main urban area. (3) The factor interpretation analysis of geographers supported four kinds of first level indicators including social economic foundation, traffic convenience, prosperity of commerce and public service level, and a total of 11 two level indicators of hotel spatial pattern prediction index system. (4) The spatial pattern prediction results of star hotels and economic chain hotels have common characteristics, forming a circle structure and axisymmetric distribution in the Yangtze River. The central city is the core area. The transition area between the second ring road and the three ring road is the transitional area; the periphery is the fringe area; and the new cities are the spatial form of punctuate high value area. At the same time, there are significant differences. The core area of the future layout of the economic chain hotel and the transitional area are more central, and the optional location is more fragmented. (5) Stability factor, dynamic factor and trigger factor respectively through the restraint mechanism, the mechanism of supply and demand, trigger mechanism in the hotel business, and through the accumulation of individual effects and time accumulation effect, and ultimately the formation and evolution of the dynamic characteristics of the hotel industry space. (6) This paper builds a feasible path which can reveal, as well as, predict the dynamic process of urban hotel industry spatial pattern. The feasible path provides reference for the relevant research topics and practical guidance for city managers and hotel investors.