scholarly journals Multimodal Wireless Situational Awareness-Based Tourism Service Scene

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yan Liu ◽  
Shuo Zhu
Keyword(s):  
Social Media ◽  
Semantic Analysis ◽  
High Efficiency ◽  
New Technologies ◽  
Graph Model ◽  
Personalized Recommendation ◽  
Visual Features ◽  
High Tech ◽  
Image Search ◽  
Smart Tourism

Community platforms featuring user sharing and self-expression in social media generate big data on tourism resources, which, if fully utilized in a smart tourism system driven by high-tech and new technologies, will bring new life to the field of smart tourism research and will play an important role in the development of Internet+ tourism. However, tourism data in social media has the following characteristics: diversity, redundancy, heterogeneity, and intelligence. To address the characteristics of tourism data in social media, this thesis focuses on the following challenges: it is difficult to efficiently obtain tourism visualization information (text and images) in social media; it is difficult to effectively utilize tourism multimodal heterogeneous information; it is difficult to properly retrieve multimedia entity information of tourism attractions; and it is difficult to reasonably construct tourism personalized recommendation models. In this paper, an image search reordering method based on a hybrid feature graph model is proposed to realize the rapid acquisition of high-quality Internet images from the web using hybrid visual features and graph models, thus providing data security for the analysis of social media-based tourism images. To address the shortcomings of current search engines for image retrieval, visual information is used to bridge the problem of semantic gap between text-based search and images. To address the limitation of single visual features, we use latent semantic analysis to fuse multiple visual features to obtain hybrid features, which not only combine multiple single features but also preserve the potential relationship between these features. To address the shortcomings of the reordering methods based on classification and clustering, a reordering framework based on the graph model is used to reorder the images and finally complete the image search reordering based on the hybrid feature graph model. This method can obtain image information in social media with high efficiency and quality and then prepare for the subsequent work of tourism image analysis mining and personalized recommendation.

Technology and marketing: a multidisciplinary outlook

2020 ◽  
pp. 1-11
Author(s):  
Billi Sam
Keyword(s):  
Social Media ◽  
Autonomous Vehicles ◽  
Recommendation System ◽  
New Technologies ◽  
Cost Savings ◽  
Personalized Recommendation ◽  
The Internet ◽  
Service Firms ◽  
Labor Costs ◽  
Ride Sharing

New technologies have revolutionized nearly every aspect of human existence, including the ways that firms market products and services to consumers. Along with now familiar innovations like the Internet, greater computing capacity, mobile devices and applications, and social media, more radical innovations are emerging. Related to artificial intelligence (AI) (Davenport 2018), the Internet of things (IoT) (Hoffman and Novak 2018), and robotics (Mende et al. 2019), these technological advances are exerting profound effects on the practice of marketing. Thus, it should come as no surprise that firms across nearly every business sector (e.g., retailing, manufacturing, healthcare, financial) keep steadily increasing their technology spending, driven to reach various objectives. For example, many manufacturing firms seek cost savings through mechanized and robotic production processes, which both limit labor costs and increase production efficiencies. Retailers and service firms devote more spending to online, mobile, and social media platforms in attempts to better communicate and connect with customers (both current and potential), thereby increasing their revenues. Early adopters of each new technology change the rules of the game (e.g., Grewal 2019). Consider Amazon as an example: It leads the pack in adopting a host of technological innovations. Its fulfillment centers feature robotic technologies to assist workers, increase efficiencies, and drive down costs. Amazon is actively experimenting with drone delivery (a service it calls Prime Air). Furthermore, it is known for its predictive analytic capabilities, uses AI to establish and maintain its sophisticated personalized recommendation system, and has developed an innovative, patented, one-click ordering system. Ride-sharing firms like Uber and Lyft similarly have revolutionized traditional taxi and limousine industries, as well as providing novel work opportunities and greater customer control over their rides. Such groundbreaking shifts also depend heavily on the available technology, including geofencing and social media ratings capabilities. Newer options, such as autonomous vehicles, are on the horizon and likely to shake up the ride-sharing industry and ultimately the entire transportation industry. Waymo (Google’s self-driving vehicle), Tesla, and Volvo are all racing to introduce the first driverless test vehicles to create value for consumers and business customers.

From Digital to Smart Tourism

2021 ◽  
pp. 61-77
Author(s):  
Silvia Fernandes
Keyword(s):  
Social Media ◽  
Internet Of Things ◽  
Business Models ◽  
New Technologies ◽  
Smart Cities ◽  
Information Age ◽  
Digital Transformation ◽  
Mobile Media ◽  
Making A Difference ◽  
Smart Tourism

In the information age, activities and business models have become different. Factors such as new technologies and social media influence consumer behavior due to the variety of choices/channels. Companies are making a difference in consumers' minds by connecting with them active and creatively. Also, customers contribute with ideas and experiences, not only for products and services, but also for platforms and brands. Cyber-physical apps together with mobile media tend to revolutionize business models across multiple industries. This is important for tourism due to a contribution to link some still weakly linked activities across tourism sub-sectors in Portugal. The present work reflects on how Portugal is in terms of internet of things adoption (IoT) and digital transformation facing the challenges of sustainable and smart cities. It also explores which impacts this transformation can have through its platforms and processes in tourism and future services.

scholarly journals Investment in innovative development of enterprises

2020 ◽  
pp. 156-162
Author(s):  
Vitalii Voloshchuk ◽  
Yuliia Voloshchuk ◽  
Oleksandr Ivanyshyn
Keyword(s):  
System Analysis ◽  
High Efficiency ◽  
New Technologies ◽  
Business Environment ◽  
High Tech ◽  
Innovative Development ◽  
Technical Base ◽  
Logistic Chain ◽  
Definition Of ◽  
Investment Process

Purpose. The aim of the article is scientific and theoretical substantiation of the essence and mechanisms of investing in innovative development of enterprises. Methodology of research. General scientific and special methods are used in the process of research, in particular: system analysis – to substantiate the essence of investing in innovative development of enterprises; abstract and logical and graphic – in determining the possible options for innovation and investment process of restoration of material and technical base for production and stages of the investment logistics chain of investment development of enterprises. Findings. The essence of investing in innovative development of enterprises is determined based on the generalization of scientific approaches, which is manifested by the involvement of real and potential internal and external investment resources, sources, levers and measures. Such innovative development, taking into account the logistics chain, is aimed at finding and efficient use of investment resources, possible options for restoring the material and technical base of production and modernization of enterprises in the conditions of neo-industrialization. Different vector influence of factors on the given course of investment projects leads to qualitative, quantitative and structural changes of production and economic activity of enterprises on an innovative basis and achievement of high efficiency in case of coordination and joint efforts for the decision of problems of strategic orientation and definition of investment priorities. The necessity and possible variants of restoration of material and technical base and stages of logistic chain of investment of development of enterprises, innovative projects for introduction of fundamentally new technologies and expansion of assortment at the expense of new creative products, transition to higher technological ways, replenishment of available intellectual assets and maintenance of innovative development of enterprises are proved. It is determined that currently the most acute problem for investors is the protection of their rights and the possibility (ease) of doing business. Therefore, the state's efforts should be aimed at solving problems in the commercial sphere and creating a favourable business environment, increasing investment in agriculture, stabilizing sources and optimizing capital structure, ensuring effective distribution of investments in the formation of assets of agricultural producers by their size. Originality. The definition of the essence of investing in innovative development of enterprises has been further developed; the scheme of possible variants of innovation and investment process of restoration of material and technical base for production of high-tech production taking into account stages of an investment logistic chain in the conditions of neo-industrialization is formed. Practical value. The results of the study can be used to expand the base, diversify sources and increase investment by enterprises on the basis of self-financing; corporatization; lending; vendor, operational and electronic leasing or sales; attracting investment resources through the issuance of Eurobonds, obtaining loans from international financial and banking institutions, as well as targeted financing with the participation of credit agencies and a combination of all methods. Also, the results of the study can be used to increase investment in the creation and commercialization of innovations and enhance innovative development of enterprises, the main priorities of which should be the skilful implementation of internal and external factors to ensure production efficiency and customization and individualization of new innovative products to consumers. Key words: investment, modernization, investment project, innovations, investments, technologies, products, development, enterprise, attractiveness, commercialization, efficiency.

To Tweet or Not To Tweet?

2014 ◽  
Vol 43 (1) ◽  
pp. 40-41
Author(s):  
James LoRusso
Keyword(s):  
Social Media ◽  
Learning Process ◽  
New Technologies ◽  
Economic Context

This piece argues that new technologies generally, and social media in particular, are too often accepted uncritically and incorporated hastily into course designs for the humanities. The author encourages teachers to ask two basic questions when considering social media in the classroom: 1. Does social media actually improve the learning process? And 2. How are these technologies embedded in the larger socio-economic context?

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

Tools for the development of innovative entrepreneurship in the region

2019 ◽  
pp. 66-72
Author(s):  
V. P. Basenko ◽  
V. A. Dianova
Keyword(s):  
New Technologies ◽  
High Tech ◽  
Organizational Forms ◽  
Public And Private ◽  
Economic Agents ◽  
Russian Economy ◽  
New Organizational Forms ◽  
Innovative Solution ◽  
Public And Private Cooperation ◽  
Effective Use

The article is devoted to the problems of innovative enterprise development. Since the Russian economy is in a state of financial and economic stagnation, there is a need to apply radically new innovative directions of business activities that ensure the effective use of financial potential within the framework of national projects. Practice shows that today the business sector in Russia is not able to provide a full-fledged demand for new technologies. Therefore, there is a need for substantial state support to provide centralized orders for high-tech industries. There are already examples of combining the efforts of a number of Autonomous economic entities to implement innovative reforms, new organizational forms of interaction have been formed, such as: centers for the implementation of innovative ideas; centers for engineering services; business incubators, etc. The subjects of these organizational forms of cooperation developed and proposed measures aimed at innovative solution of technological problems relevant to the regional economy, as well as for the country as a whole. Link for the efficient interaction of economic agents becomes an inherent characteristic, is the need of implementation of mechanisms of coordination with “network interaction”. It is important to note the fact that the existing relations and forms of regulation of various systems are not permanent, there are no strategic concepts aimed at long-term public and private cooperation.

scholarly journals Russian-Speaking Digital Buddhism: Neither Cyber, nor Sangha

Religions ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 449
Author(s):  
Timur Badmatsyrenov ◽  
Elena Ostrovskaya ◽  
Fyodor Khandarov ◽  
Innokentii Aktamov
Keyword(s):  
Social Media ◽  
New Media ◽  
Graph Model ◽  
Social Shaping Of Technology ◽  
Mixed Methods Approach ◽  
Media Technologies ◽  
Second Stage ◽  
Modeling Techniques ◽  
Social Shaping ◽  
Key Issues

The paper presents the results of a study that implemented a mixed methods approach to explore the question of correlation between online and offline activities of Buddhist organizations and communities in Russia. The research was carried out in 2019–2020 and addressed the following key issues: How do Buddhist websites and social media communities actually interact with offline organizations and Russian-speaking Buddhist communities? How do the ideological specifics of Buddhist organizations and communities influence their negotiations with the Internet and strategies towards new media technologies? Within the methodological frame of the religious–social shaping of technology approach by Heidi Campbell, we used the typology of religious digital creatives to reveal the strategies created by the Russian-speaking Buddhist communities developing their own identity, authority, and boundaries by means of digital technologies. In the first stage, we used quantitative software non-reactive methods to collect data from social media with the application of mathematical modeling techniques to build a graph model of Buddhist online communities in the vk.com social network and identify and describe its clusters. The second stage of the research combined biographical narratives of Buddhist digital creatives and expert interviews.

scholarly journals Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic

2021 ◽  
Author(s):  
Giandomenico Di Domenico ◽  
Annamaria Tuan ◽  
Marco Visentin
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
New Technologies ◽  
Fake News ◽  
Conspiracy Theories ◽  
Social Media Platform ◽  
The Social ◽  
Media Platform ◽  
Textual Cues ◽  
Twitter Users

AbstractIn the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.

Sign in / Sign up

Export Citation Format

Share Document