scholarly journals Development of all-for-one smart tourism platforms

2021 ◽  
Vol 251 ◽  
pp. 01059
Author(s):  
Li Gao

Given the development trend of the tourism industry and the challenges the industry faces, this study probes into the market needs for all-for-one tourism, analyzes the role that cloud platforms play in promoting digitalization of tourism, and introduces the application of cloud technology in four application scenarios — big data cloud platform, smart service platform, comprehensive management platform, and destination marketing platform.

2021 ◽  
Vol 13 (6) ◽  
pp. 168781402110261
Author(s):  
Yun-Wen Feng ◽  
Jun-Yu Chen ◽  
Cheng Lu ◽  
Shun-Peng Zhu

Spare parts are treated as the basis to guarantee the safe and economic operation of civil aircraft, its scientific prediction and reasonable configuration play an important role in perfecting integrated logistics support (ILS) and achieving win-win situation of stakeholders (e.g. manufacturers, operators, maintenance providers). This paper studies the existing spare parts prediction and configuration methods of civil aircraft, and discusses future development trend of spare parts from the perspective of prediction and configuration, respectively. The current development status of civil aircraft spare parts prediction techniques are firstly introduced, according to demand characteristics of spare parts; the present research status of civil aircraft spare parts configuration methods are then elaborated, based on the traditional methods and machine learning methods; the development trend of civil aircraft spare parts prediction and configuration methods is finally analyzed, combined with the advantages and disadvantages of the existing methods of civil aircraft spare parts management methods. The efforts of this work provide a reference for the comprehensive management of civil aircraft spare parts and improve the perfection degree for the ILS of civil aircraft.


2014 ◽  
Vol 556-562 ◽  
pp. 6211-6214
Author(s):  
Hui Hui Zhong ◽  
Bang Fan Liu ◽  
Miao Dai

Combing through the concept of cloud computing and e-services, analyzes the relationship between e-services, e-government and e-commerce of the three concepts. The current model of development of electronic services, mainly in the following categories: process integration model, information sharing patterns, front and back of a mixed mode operation. The development trend of the cloud computing model of electronic services is bound to relying on the cloud platform to build electronic services.


Author(s):  
F.E. Gulmurodov ◽  

The article provides detailed information on the process of developing effective plans for the development of the tourism industry and choosing the optimal one based on them, forecasting the future development of the industry. It also considers the processes of using special computational and arithmetic methods that allow predicting the events and happenings in the tourism industry, to determine the regression function as a result of the interaction and interaction of indicators representing the type of activity. As a result of targeted research, using correlation-regression models, a forecast of the development trend of the tourism industry based on socio-economic factors affecting the tourism process was developed.


2020 ◽  
Vol 12 (8) ◽  
pp. 3401 ◽  
Author(s):  
Ben Haobin Ye ◽  
Huiyue Ye ◽  
Rob Law

In recent decades, smart tourism has been attracting attention from practitioners and scholars. The current study used multiple analysis methods to conduct a systematic review of 124 related articles on smart tourism. Qualitative analysis was conducted to identify 10 categories of smart tourism articles. Results showed that the largest proportion focus on the influence of technology on tourists’ perceptions, behaviors, and experiences. Co-occurrence analysis was performed to investigate the development trend of keywords used by academics in the last five years, while co-authorship (country) analysis was conducted to examine the collaborative relationship between different countries. The research regions, industries, methods, and theories applied in these articles were also analyzed. Theoretical and practical/managerial implications, as well as future research directions, were provided.


Author(s):  
Zhengyingli

Smart tourism is an important vehicle and driving force to promote the transformation and upgrading of traditional tourism. As an important supporting technology for smart tourism, cloud computing brings innovative advantages in modern tourism such as systems, management, and markets. Smart cloud services based on cloud computing technology will be more deeply embedded into traditional tourism elements. It is not only the concept of technology and service, but also the result of the pursuit of personalized tourism experience. Its cloud thinking will inevitably promote the integration and subdivision of resources within the tourism industry, and at the same time promote the adjustment and development of tourism-related industrial structures.


Encyclopedia ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 42-56
Author(s):  
Marios Sotiriadis

A holistic, multi-organization view of marketing or destination management organizations (DMOs) who must muster the best efforts of many partner organizations and individuals (stakeholders) to have the greatest success. Destination marketing is described as “a continuous, sequential process through which a DMO plans, researches, implements, controls and evaluates programs aimed at satisfying tourists’ needs and wants as well as the destination’s and DMO’s visions, goals and objectives”. The effectiveness of marketing activities depends on the efforts and plans of tourism suppliers and other entities. This definition posits that marketing is a managerial function/domain that should be performed in a systematic manner adopting and implementing the appropriate approaches, as well as suitable tools and methods. In doing so, it is believed that a tourism destination (through the organizational structure of a DMO) can attain the expected outputs beneficial to all stakeholders, i.e., the tourism industry, hosting communities/populations, and tourists/visitors. The effective implementation of tourism destination marketing principles and methods constitutes an efficient and smart pillar, a cornerstone to attain a balance/equilibrium between the perceptions and interests, sometimes conflicting, of stakeholders by minimizing the negative impacts and maximizing the benefits resulting from tourism. All the same, it is worth noting that marketing is not a panacea, nor a kind of magic stick.


1998 ◽  
Vol 82 (Appendix) ◽  
pp. 311-311
Author(s):  
Tetsuji Okajima ◽  
Chizuka Tani

2021 ◽  
Vol 13 (4) ◽  
pp. 1987
Author(s):  
Ralf Buckley ◽  
Mary-Ann Cooper

We propose that assortative matching, a well-established paradigm in other industry sectors and academic disciplines, can underpin the concept of destination matching. This provides a new foundation to integrate research concepts and terminology in destination marketing and destination choice. We argue that the commercial tourism industry already applies destination matching approaches, with three historical phases. Initially, matching of tourists and destinations relied on the tacit expertise of specialist agents. This still applies in specialist subsectors. For generalist travel and accommodation, human agents were partially replaced by online travel agents, OTAs, which are customised algorithms operating only in the travel sector. These still exist, but their share price trends suggest decreasing significance. Currently, automated assortative algorithms use multiple sources of digital data to push appealing offers to potential purchasers, across all retail sectors. Digital marketing strategies for tourism products, enterprises, and destinations are now just one category of generalised product–purchaser matching, using entirely automated algorithms. Researchers do not have access to proprietary algorithms, but we can identify which components they incorporate by analysing their underlying patents. We propose that theories of destination marketing and choice need to reflect these recent and rapid real-world changes via deliberate analysis of destination matching.


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