Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (2): 623-629.doi: 10.23940/ijpe.19.02.p26.623629
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Gongpeng Zhangab, Yuncai Ninga, Chi Zhangb*(
), Zhaogang Wanga, and Beu Leec
Revised on
;
Accepted on
Contact:
Zhang Chi
E-mail:tibuuzc@163.com
About author:Gongpeng Zhang is a Ph.D. student in the School of Management at China University of Mining & Technology. His research interests include management science and engineering and smart tourism. E-mail: Gongpeng Zhang, Yuncai Ning, Chi Zhang, Zhaogang Wang, and Beu Lee. Applying Creative Computing in the Analysis of Smart Tourism Research in China [J]. Int J Performability Eng, 2019, 15(2): 623-629.
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Table 1
Word frequency matrix (partial)"
| Smart tourism | Tourism management | Tourism information | … | |
|---|---|---|---|---|
| Paper 1 | 1 | 1 | 0 | … |
| Paper 2 | 1 | 0 | 1 | … |
| Paper 3 | 1 | 0 | 0 | … |
| … | … | … | … | … |
Table 2
Relevant parameters of simple matching coefficients"
| Paper 1 | |||
|---|---|---|---|
| Valve | 1 | 0 | |
| Paper 2 | 1 | a | b |
| 0 | c | d | |
Figure 1
Cluster analysis in smart tourism literature during 2011-2017 "
Table 3
Results of clustering"
| Category | Number of papers | Category | Number of papers | Category | Number of papers |
|---|---|---|---|---|---|
| 1 | 31 | 7 | 35 | 13 | 88 |
| 2 | 94 | 8 | 10 | 14 | 8 |
| 3 | 64 | 9 | 37 | 15 | 17 |
| 4 | 516 | 10 | 31 | 16 | 53 |
| 5 | 45 | 11 | 55 | 17 | 1 |
| 6 | 45 | 12 | 88 | 18 | 1 |
Table 4
Highly relevant keywords"
| Category | Highly relevant keywords | Number of papers |
|---|---|---|
| 1 | Tourism management, tourism management, management, training mode, talent cultivation mode, talent, talent cultivation, vocational tourism management, destination tourism management, applied talent | 31 |
| 2 | Development, countermeasures, development strategy, development model, tourism development, status quo, development strategy, tourism development, development status, tourism development model | 94 |
| 3 | Data, big data, databases, data mining, big data era, tourism-related big data, data centers, big data industry, big data platform, cloud data center | 64 |
| 4 | Information, scenic area, development, city, information, smart city, management, data, tourism information, service | 516 |
| 5 | Tourism services, tourism, service, service supply chain, supply chain, tour guide, tourism service supply chain, tourism public service, collaborative development, guide service | 45 |
| 6 | Internet, Internet+, mobile Internet, mobile Internet, Internet+, maker, APP, industry integration, Internet thinking, Internet+ tourism | 45 |
| 7 | Urban construction, smart city construction, construction, smart city, city, Wan Ning city, city informatization, Wan Ning, pilot demonstration, safe city | 35 |
| 8 | Public service system, service system, tourism public service system, public service, tourism public service, safety critical system, system, supply mode, tea culture background, construction mechanism | 10 |
| 9 | Experience, travel experience, tourist experience, user experience, Mount Lushan Scenic Area, tourist, park, guide, APP, route, smart tourism | 37 |
| 10 | Information service, tourism information service, public information, information, public information service, tourism information, service, tourism public information, visual threshold, tourism public information service | 31 |
| 11 | City, smart city, tourist city, smart tourism city, city tourism, regional coordinating, city agglomerations, urban agglomeration in southern Sichuan, Xianyang, integration | 55 |
| 12 | Information, informatization, tourism informatization, tourism information, information systems, information technology, geographic information systems, new generation of information technology, intelligence, technology | 88 |
| 13 | Scenic area, smart scenic area, scenic area management, tourist, tourist area, management, zoo, management, West Lake scenic area, relic | 88 |
| 14 | Public service platform, service platform, smart tourism public service platform, smart tourism public service, public service, TOP50, tourism vacation, Xiamen, talent training, performance evaluation | 8 |
| 15 | Enterprises, tourism enterprises, enterprise management, tourism enterprise management, business transformation, iSoftStone, Xinhua net, tourism enterprise intelligence, tourism value chain, package | 17 |
| 16 | Tourism industry, industry, tourism, tourism industry chain, industrial chain, tourists, international tourism area, modern tertiary industry, thinking form, Chi Zhou | 53 |
Table 5
Definitions of relevant smart tourism researches"
| Category | Definition of creative content | Category | Definition of creative content |
|---|---|---|---|
| 1 | Talent cultivation | 9 | Tourism experience |
| 2 | Status quo and countermeasures | 10 | Smart tourism public information service |
| 3 | Tourism-related big data | 11 | Smart tourism city cluster |
| 4 | Tourism informatization | 12 | Tourism information technology |
| 5 | Tourism service supply chain | 13 | Smart tourism scenic area management |
| 6 | Internet+ tourism | 14 | Smart tourism public service platform |
| 7 | Smart tourism city construction | 15 | Wisdom of tourism enterprises |
| 8 | Smart tourism public service system | 16 | Smart tourism industrial chain |
Table 6
Volume of smart tourism research by year and category"
| Creative content category | Number of papers | |||||||
|---|---|---|---|---|---|---|---|---|
| 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | Total | |
| Talent cultivation | 0 | 0 | 5 | 3 | 7 | 9 | 7 | 31 |
| Status quo and countermeasures | 1 | 1 | 7 | 9 | 25 | 26 | 25 | 94 |
| Tourism-related big data | 0 | 1 | 2 | 10 | 17 | 16 | 18 | 64 |
| Tourism informatization | 5 | 18 | 52 | 88 | 132 | 110 | 111 | 516 |
| Tourism service supply chain | 0 | 0 | 2 | 8 | 8 | 10 | 17 | 45 |
| Internet+ tourism | 0 | 0 | 0 | 3 | 8 | 19 | 15 | 45 |
| Smart tourism city construction | 0 | 1 | 4 | 11 | 12 | 4 | 3 | 35 |
| Smart tourism public service system | 0 | 1 | 1 | 1 | 1 | 3 | 3 | 10 |
| Tourism experience | 0 | 0 | 0 | 6 | 11 | 11 | 9 | 37 |
| Smart tourism public information service | 1 | 3 | 1 | 5 | 9 | 2 | 10 | 31 |
| Smart tourism city cluster | 0 | 1 | 9 | 13 | 18 | 10 | 4 | 55 |
| Tourism information technology | 0 | 7 | 13 | 23 | 8 | 21 | 16 | 88 |
| Smart tourism scenic area management | 1 | 3 | 3 | 20 | 25 | 19 | 17 | 88 |
| Smart tourism public service platform | 0 | 0 | 0 | 4 | 1 | 0 | 3 | 8 |
| Wisdom of tourism enterprises | 0 | 0 | 1 | 4 | 5 | 5 | 2 | 17 |
| Smart tourism industrial chain | 0 | 5 | 4 | 12 | 14 | 13 | 5 | 53 |
| Total | 8 | 41 | 104 | 220 | 301 | 278 | 265 | 1217 |
| [1] |
H. J . Yang and L. Zhang, “Promoting Creative Computing: Origin, Scope, Research and Applications,”Digital Communications and Networks, Vol. 2, pp. 84-91, 2016
doi: 10.1016/j.dcan.2016.02.001 |
| [2] | G. B . Ji and L. J. Wang, “Research Progress on Smart Tourism Home and Abroad,”Ecological Economy, Vol. 12, pp. 107-110, 2015 |
| [3] | Y. Q . Fu and X. M. Zheng, “Research on Recent Development and Countermeasures of Smart Tourism in China,”Development Researches, Vol. 4, pp. 62-65, 2013 |
| [4] | S. S. Huang , “Summary on Domestic Smart Tourism Researches,”Geography and Geo-Information Science, Vol. 2, pp. 97-101, 2014 |
| [5] | Y. P. Li, Z. Z. Hu, C. Huang, L. Q. Duan , “Discussion on Concept of Smart Tourism in the View of Tourism Information Service,”Tourism Journal, Vol. 5, pp. 106-115, 2014 |
| [6] | L. Y. Zhang, N. Li, M. Liu , “Basic Concept and Theoretical System of Smart Tourism,”Tourism Journal, Vol. 5, pp. 66-73, 2012 |
| [7] | L. Y. Zhang , “Smart Tourism: Coming of a Time of Personalized Customization and Smart Public Service,”Tourism Journal, Vol. 2, pp. 3-5, 2012 |
| [8] | Z. Xiang, Y. P. Li, R.F. Daniel , “Searching for the Future: Emergence of Smart Tourism,”Tourism Journal, Vol. 12, pp. 8-12, 2015 |
| [9] | B. L. Xu, D. H. Li, Y. L. Qian, Y. T. Liu , “Smart Tourism: A New Trend of Tourism -Summary based on Existing Research Results,”Resource Development & Market, Vol. 7, pp. 781-784, 2013 |
| [10] | J. S. Gao, Y. Y. Li, Y. Q. Liang, Y. Q. Sun , “Study on Knowledge Discovery Model based on Visualization of Literature Data,”Library Science Researches, Vol. 1, pp. 49-56, 2016 |
| [11] | B. K . Chen and Y. F. Wang, “Content Study for Analysis on Disciplinary Structure and Evolution Visualization,”Library Information Service, Vol. 21, pp. 87-95, 2016 |
| [12] | Y. Y. Chen, W. F. Tian, J. H. Wu , “Research on Visualization Analysis Method of Tracking and Trend Prediction in Research Hotspots in Subject Area,”Information Theories and Practices, Vol. 6, pp. 117-121, 2017 |
| [13] | X. Liu and P. Z. Zhang, “Visualization Analysis of Knowledge Management Research based on CSSCI Data,”Information Journal, Vol. 1, pp. 92-97, 2013 |
| [14] | J. P . Qiu and H. Liu, “Visualization Analysis of Knowledge Network Research based on Knowledge Mapping,”Information Science, Vol. 12, pp. 3-8, 2013 |
| [15] | Y. Chen, W. Hu, J. Wang , “Analysis on Hotspots and Trends of Smart Education Researches based on Knowledge Map,”China Distance Education, Vol. 9, pp. 21-26, 2016 |
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