scholarly journals STRATEGIC DECISIONS IN THE TOURISM INDUSTRY BASED ON INTERNET DATA COLLECTION TECHNOLOGIES AND THEIR SPATIAL ANALYSIS

2021 ◽  
Vol 12 (2) ◽  
pp. 170-177
Author(s):  
I. A. Lakman ◽  
V. M. Timiryanova

The paper offers a look the new opportunities that open up in management in the context of the development of information technology. The aim of the study is to highlight the benefits of using technologies for collecting big data and spatial statistics for making strategic decisions in the tourism industry. In the work, using the example of the ski resort “Abzakovo”, the technologies for collecting data on the Internet are shown, the spatial dependence of the data is assessed and conclusions are drawn that allow subsequent strategic decisions as to enterprises located in this territory. So are the government bodies interested in the development of this tourist zone. Thus, the analysis of the geography of the members of the “Abzakovo” group made it possible to single out a statistically significant spatial dependence of their age, which manifests itself in the neighborhood of the older members of the group near the resort. The results of the analysis of the rating of tourist infrastructure facilities in the area of the ski resort “Abzakovo” identified spatially related zones of low and high ratings.

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qian Huang ◽  
Xue Wen Li

Big data is a massive and diverse form of unstructured data, which needs proper analysis and management. It is another great technological revolution after the Internet, the Internet of Things, and cloud computing. This paper firstly studies the related concepts and basic theories as the origin of research. Secondly, it analyzes in depth the problems and challenges faced by Chinese government management under the impact of big data. Again, we explore the opportunities that big data brings to government management in terms of management efficiency, administrative capacity, and public services and believe that governments should seize opportunities to make changes. Brainlike computing attempts to simulate the structure and information processing process of biological neural network. This paper firstly analyzes the development status of e-government at home and abroad, studies the service-oriented architecture (SOA) and web services technology, deeply studies the e-government and SOA theory, and discusses this based on the development status of e-government in a certain region. Then, the deep learning algorithm is used to construct the monitoring platform to monitor the government behavior in real time, and the deep learning algorithm is used to conduct in-depth mining to analyze the government's intention behavior.


2020 ◽  
pp. 113-136
Author(s):  
Sarah Esther Lageson

Interviews with more than 100 people whose records appear online show how the ability to manage digital punishment is directly tied to a person’s familiarity with technological systems and their faith in bureaucracy. Instead of confronting the government or the criminal justice system, many people engage in digital avoidance, afraid that any attempts will only make the problem worse. This intersection between the criminal justice system and technology reproduces social inequality at the speed of the internet, disproportionately impacting people who have less access to and command over digital technologies. This chapter discusses the qualities of digital punishment, the strategies people who are experiencing digital punishment deploy to deal with their online stigma, and an explanation for why many people choose to engage in digital avoidance rather than try to have their online record removed. Rooted in theories of the digital divide and the disparate impact of big data technologies, the chapter concludes with a discussion of how digital punishment challenges long-held theories of criminal stigma, desistance, and rehabilitation.


Author(s):  
Emanuele Bardone ◽  
Lorenzo Magnani

Recently the impressive growth of the Web, and the Internet in general, has been considered as a promise that may both challenge and boost our representation of democratic institutions. It is well known that modern democracies are based on the possibility to control and even replace who rules by the force of the best arguments. More generally, the control of the government, and the effectiveness of democracy, is possible, if the citizens can access information. Hence, the promise of the Internet mainly relies on the fact that people may more freely access information, because it seems it cannot be controlled or manipulated by the political power. In the first part of this outline we will depict a cognitive framework to deal with the relationships between Internet and democracy. We shall show that Internet, as an information technology, can be considered as a cognitive and moral mediator; it can provide stories, texts, images, combined with sounds, so that the information fosters not only a cognitive, but also an emotional and moral understanding. In this sense, the Internet represents a kind of redistribution of the moral effort through managing objects and information to overcome the poverty and the unsatisfactory character of the options available. In the last part we will illustrate that Internet, as a moral mediator, may enhance democracy in two respects. First, it affords civic engagement and participation; second, it allows people to face different sources of information so that almost everyone can verify and test the information delivered by traditional media.


Due to global digitalisation, Internet marketing has long become an integral part of any effective marketing campaign. According to a Zenith Media study, the growth of the global online advertising market in 2019 is only 10%, which is the lowest increase since 2001. Rest and travel is one of the most popular and discussed topics on social networks. We share new impressions, vivid photos, videos, stories, and 90% of them somehow affect the tourism industry. The global digitalization and widespread use of mobile gadgets has changed the very essence of online behavior. We spend most of our free time on the Internet, we are happy to talk about future plans and remember them after their implementation. Thanks to modern technologies and specialized platforms, advertising campaigns on the Internet are launched in a matter of minutes, receiving instant feedback in the form of comments, applications and even sales. Internet marketing has tremendous mechanisms for targeting, analyzing and processing big data. Therefore, the future of the brand, especially in the field of tourism, depends on the use of Internet marketing by enterprises.


2019 ◽  
Vol 3 (2) ◽  
pp. 163
Author(s):  
Chandra Eko wahyudi Utomo

Abstract The use of information technology that is integrated with work processes in an organization has become an absolute necessity. The availability of complete, correct and accurate data and information has become a basic requirement for the survival of an organization. Business Intelligence (BI) is a form of implementation that is able to answer the above needs. BI has been widely used by organizations in managing data and information to support decision making. BI is usually associated with efforts to maximize the performance of an organization. Business Intelligence System is a term that is generally used for the type of application or technology used to assist BI activities, such as collecting data, providing access, and analyzing data and information about company performance. Along with the rapid online-based information systems including e-tourism, creating a huge data explosion on the internet (bigdata). The very high growth of tourism data on the internet can be utilized for the needs of the tourism industry and research needs in the field of tourism. Keywords: intelligent business, e-tourism, big data


Author(s):  
Weimin Gao ◽  
Jiaming Zhong ◽  
Yuan Xiao

Network Public Opinion is significant in maintaining social harmony and stability and promoting transparency in government affairs. However, with the development of economy and transformation of society, our country has entered a high-risk period, which is full of unexpected public events. Unexpected mass accidents also cause hot discussions among the Internet users once they are exposed on the network. Different ideas, opinions, emotions, and attitudes about unexpected public events will be collected and collide on the Internet. It makes Network Public Opinion play an increasingly important role in the evolution of unexpected public events. It could promote the spread and upgrade of unexpected public events and bring more and more profound influence on to our social life. We use the case study method to analyze and solve the problems by applying the dynamic principles of the SIR epidemic model, comprehensively considering the social environment and various influencing factors, and constructing a mathematical model for the spread of network group events. The study uses Matlab to simulate the change trajectory of the number of participants in the network group events. By adjusting the number of contacts φ in the model, the development of network group emergencies can be effectively controlled and managed. As long as the government takes timely intervention measures, the dissemination of network group events can be basically controlled. Combined with public opinion big data to discover the important factors affecting the spread of public opinion, the control effect is obvious.


Author(s):  
O. Chieochan ◽  
D. Lindley ◽  
T. Dunn

Agriculture is important to the Thai economy, contributing about 17 percent to the Thai GNP. It accounts for about 34 percent of all exports (Mahidol University, 1998). Important activities include crop cultivation, rearing of livestock, fishery, and forestry. In 1991, about 62 percent of the Thai population, approximately 36 million people, was involved in agriculture (Office of Agriculture Economics, Ministry of Thai Agriculture and Cooperatives, 1992, p. 29). Thai agricultural cooperatives play an important role and a study of them provides a window into Thai agriculture. For some Thai farmers, co-operatives provide access to information from the outside world; for others, they provide information about Thai agriculture. Particular cooperatives provide marketing information on agricultural produce that should improve the income of Thailand’s farmers. In addition, Thai agricultural co-operatives can use e-commerce to improve their trading. A report in The Nation newspaper in 1998 (1998a) supported this view, saying that market information such as product prices, could assist farm planning and protect farmers from merchants’ unfair trading practices. Merchants could also use such information to improve business planning and to evaluate investments. It is further suggested that the Thai government could use information technology to better support the Thai farming community; that information technology could be used by agricultural cooperatives as a tool for communication with farmers; and that the government could be better informed of farmers’ needs, and so provide better and more useful services. In a similar vein, Sirimance (1998) suggests that information technology could reduce the communication gap between rural communities and the cities [The Nation newspaper (1998b)]. Despite the apparent advantages, Thai agriculture, including agricultural cooperatives, have been slow to introduce and exploit e-commerce; this is basis of our research project as described in Chiecochan and Lindley (1999), Chieochan, Lindley and Dunn (2000a & 2000b). In these papers, diffusion and adoption theory was used to classify Thai agricultural cooperatives according to if and when they adopted e-commerce. The main conclusion is that Thai agricultural cooperatives are slow in adopting e-commerce. Chieochan, Lindley and Dunn (2000) show that only 60 percent of Thai agricultural cooperatives use information technology and only 5 percent access the Internet. The Internet in Thailand is used mainly as a communication tool and websites for publishing organizational information , but is rarely used to conduct commercial transactions (King Mongkut’s Institute of Technology, Thonburi, 2001). Therefore, understanding factors affecting the use of information technology in Thai agricultural cooperatives is the fundamental to understand the use of e-commerce in Thai agricultural cooperatives and Thai culture. Al-Qirim and Corbitt (2001) support that factors inhibiting and encouraging e-commerce adoption are similar to factors inhibiting and encouraging information technology adoption in Thai agricultural cooperatives. Five keys factors affecting the use of information technology in Thai agricultural cooperatives need to be examined: • Thai agricultural cooperatives • Information Technology and e-commerce • National factors affecting the use of information technology and e-commerce in Thai agricultural cooperatives • Organizational factors affecting the use of information technology and e-commerce in Thai agricultural cooperatives • Implications to Thai government and Thai agricultural cooperatives


The budgetary changes that were started in the mid 90's and the globalization and advancement measures got a totally new working condition to the banks. Administrations and items like "Anyplace Banking", "Tele Banking", "Web Banking", "web Banking", :E-Banking", and so forth have become the trendy expressions of the day and the banks are attempting to adapt to the challenge by offering imaginative and alluringly bundled innovation administrations to their customers. E – Banking, The Government of India established the Information Technology Act, 2008 by and large known as IT Act, 2008 with impact from the fifth February 2008 to give lawful acknowledgment to electronic exchanges and different methods for Electronics business. Several public sector banks have earmarked substantive budgets and are drawing up IT strategies to face the future challenges. At this juncture the study of awareness of the Internet Banking is attempted to know the current scenario so as to plan properly for the future.


Author(s):  
Shannon Howle Schelin

Information technology has fundamentally altered many aspects of daily life, including interactions with the government. The role of the Internet continues to increase as more citizens use it to find pertinent information, purchase goods and services, and participate in virtual communities. By capitalizing on the Internet revolution, governments can create new channels of communication and new methods for participation via e-government. The changing environment, coupled with citizen and business demands, encourages government involvement in e-government initiatives and related uses of information technologies. Clearly, the role of information technology in the public sector has changed rapidly over the past decade. The computer systems that were once a luxury investment for wealthy states and local governments are now supporting almost every function of local government. In virtually all local governments across the nation, information-technology investments are becoming an increasingly important area of attention for elected officials and administrative leadership alike.


2021 ◽  
pp. 1-25
Author(s):  
Guangjun Li ◽  
Preetpal Sharma ◽  
Lei Pan ◽  
Sutharshan Rajasegarar ◽  
Chandan Karmakar ◽  
...  

With the development of information technology, thousands of devices are connected to the Internet, various types of data are accessed and transmitted through the network, which pose huge security threats while bringing convenience to people. In order to deal with security issues, many effective solutions have been given based on traditional machine learning. However, due to the characteristics of big data in cyber security, there exists a bottleneck for methods of traditional machine learning in improving security. Owning to the advantages of processing big data and high-dimensional data, new solutions for cyber security are provided based on deep learning. In this paper, the applications of deep learning are classified, analyzed and summarized in the field of cyber security, and the applications are compared between deep learning and traditional machine learning in the security field. The challenges and problems faced by deep learning in cyber security are analyzed and presented. The findings illustrate that deep learning has a better effect on some aspects of cyber security and should be considered as the first option.


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