SWOT Research on the Development of Rural Tourism E-Commerce System under the Background of Big Data Era

Abstract

Economic development has gradually made tourism one of the most common options for people’s leisure and entertainment. The fast-paced life and heavy pressure in the city have made the relaxed and comfortable rural tourism sought after by many people. In our country, many villages have rich tourist attractions and unique cultural heritage, but they have not been fully developed due to information obstruction. Now, the advancement of Internet technology has made e-commerce, an emerging trade method, more closely related to rural tourism. Based on the background of big data, this paper has launched a research on the SWOT analysis of the development of rural tourism e-commerce system. Starting from the advantages, disadvantages, opportunities, and threats of the tourism e-commerce system, this paper discusses the necessity of combining rural tourism and e-commerce platforms in the Internet era, combining various internal and external conditions. From the perspective of the e-commerce system, all kinds of special features in the countryside can be transformed into product selling points on the platform to attract tourists, and the promotion of tourism revenue through the platform can further promote the continuous improvement of the rural tourism industry and form a virtuous circle. According to our data from the China Tourism Administration and related tourism statistics, the number of rural tourists in my country has increased from 630 million in 2011 to 3.13 billion in 2019, and the increase in rural tourism revenue has also reached 4.3 times. In order to prevent the rural backward marketing strategy from hindering the development of rural tourism, the introduction of a tourism e-commerce platform is a very necessary choice.

Intelligent Digital Platform for Community-Based Rural Tourism—A Novel Concept Development in Peru

“…However, little to no attention has been paid to the digital transformation in Community-based Rural Tourism (CRT). In fact, according to Zhao et al [30], e-commerce and e-tourism started late in rural destinations, either due to lack of internet access or digital illiteracy. Faced with this reality, CRT entrepreneurs are not oblivious to this and must be adapted to all areas of digital society, and to new information and communication technologies [72].…”

“…From its most basic design of displaying information to attract tourists to providing ongoing support to customers, and enabling real-time database updates [30], the advantages of joining digitalization outweigh the technical and cultural difficulties. However, with the advancement of technology, common websites began to enter a state of obsolescence, since recently, new terms emerged and are being massively used to solve industry 4.0 problems, such as additive manufacturing, artificial intelligence, big data, blockchain, cyber-physical, data analytics, Internet of Things, and machine learning [73].…”

“…Several publications have highlighted the benefits of Big Data for tourism research, which are closely related to emerging technologies, new data processing skills, and new applications [76,77]. Cuomo et al [78] presented how to apply "big social data" in the co-design of the tourist experience, providing greater value for visitors and a better decision-making approach, as visitors can better understand the places they want to see through digital visualization [30]. Internet of Things (IoT) is still incipient in the tourism literature.…”

SWOT Approach for Audience Online Conversion Rate: An Applied Research on Scenic Spot Projects

“…Theorem 1. Z n (x) is the potential hazard, and φ(x • k) (note: it is the potential hazard judgment function of t time), then the calculation formula of the conversion rate judgment function is as shown in Formula (1).…”

“…Moreover, studying the online conversion rate of audience can improve the popularity and comprehensive potential of scenic spots. According to the survey data of tourism performance development in 2022 Zhao M. L. [ 1 ], the online conversion rate of visitors is increasing year by year, as shown in Figure 1 .…”