scholarly journals Big Data: a Source of Mobility Behaviour and a Strategic Tool for Destination Management

2019 ◽  
Vol 8 (2) ◽  
pp. 85-102
Author(s):  
Filip Emmer ◽  
Andrea Holešinská
Keyword(s):  
Big Data ◽  
Point Of View ◽  
Mobile Technologies ◽  
Future Trends ◽  
Digital Footprint ◽  
Current Trends ◽  
Mobility Behaviour ◽  
Basic Characteristics ◽  
Use Of The Internet ◽  
Scientific Fields

Abstract The abundant use of the Internet and mobile technologies while traveling leaves a digital footprint in the form of big data that can be tracked. Big data bring information about spatial visitor behaviour that is valuable for strategic destination management. Big data enrich not only scientific fields (e. g. management, marketing, or geography) with their knowledge, but also represent the invention of new tools for their actual processing. Generally, big data are considered as a strategic tool enhancing the competitiveness of a destination. The paper presents the basic characteristics of big data and reviews research focused on big data in tourism. Moreover, it identifies its potential for tourism from both the theoretical and methodological point of view. The final part deals with current trends in using the big data in tourism and its application in destination management. The future trends of big data in the context of destination management are implied as well.

Mobile Big Data

2016 ◽  
pp. 138-158
Author(s):  
Shivom Aggarwal ◽  
Abhishek Nayak
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Value Chain ◽  
Mobile Technologies ◽  
Complex Concept ◽  
Current Trends ◽  
Mobile Big Data ◽  
Challenges And Opportunities ◽  
New Challenges ◽  
Data Ecosystem

Mobile technologies have given rise to tremendous amounts of data in real-time, which can be unstructured and uncertain. This growth can be attributed as Mobile Big Data and provides new challenges and opportunities for innovation. This chapter attempts to define the concept of Mobile Big Data, provide description of various sources of Mobile Big Data and discuss SWAI (Sources Warehousing Analytics Insights) model of Big Data processing. To understand this complex concept, it is important to visualize the Big Data ecosystem, respective players. Moreover, mobile computing, Internet of things, and other associated technologies have been discussed in light of marketing and communications based applications. The current trends in Mobile Big Data and associated value chain help us understand where the next frontiers of innovation are and how one can create value. This is linked to the future aspects of the Mobile Big Data and evolution of technologies from now onwards.

Mobile Big Data

2016 ◽  
pp. 1796-1816
Author(s):  
Shivom Aggarwal ◽  
Abhishek Nayak
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Value Chain ◽  
Mobile Technologies ◽  
Complex Concept ◽  
Current Trends ◽  
Mobile Big Data ◽  
Challenges And Opportunities ◽  
New Challenges ◽  
Data Ecosystem

Mobile technologies have given rise to tremendous amounts of data in real-time, which can be unstructured and uncertain. This growth can be attributed as Mobile Big Data and provides new challenges and opportunities for innovation. This chapter attempts to define the concept of Mobile Big Data, provide description of various sources of Mobile Big Data and discuss SWAI (Sources Warehousing Analytics Insights) model of Big Data processing. To understand this complex concept, it is important to visualize the Big Data ecosystem, respective players. Moreover, mobile computing, Internet of things, and other associated technologies have been discussed in light of marketing and communications based applications. The current trends in Mobile Big Data and associated value chain help us understand where the next frontiers of innovation are and how one can create value. This is linked to the future aspects of the Mobile Big Data and evolution of technologies from now onwards.

A bibliographic study on big data: concepts, trends and challenges

2017 ◽  
Vol 23 (3) ◽  
pp. 555-573 ◽  
Author(s):  
Deepa Mishra ◽  
Zongwei Luo ◽  
Shan Jiang ◽  
Thanos Papadopoulos ◽  
Rameshwar Dubey
Keyword(s):  
Big Data ◽  
Citation Analysis ◽  
Design Methodology ◽  
Future Directions ◽  
Content Type ◽  
Current Trends ◽  
Bibliographic Study

Purpose The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field. Design/methodology/approach To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals. Findings The findings reveal that the number of articles devoted to the study of “big data” has increased rapidly in recent years. Moreover, the study identifies some of the most influential articles of this area. Finally, the paper highlights the new trends and discusses the challenges associated with big data. Research limitations/implications This study focusses only on big data concepts, trends, and challenges and excludes research on its analytics. Thus, researchers may explore and extend this area of research. Originality/value To the knowledge of the authors, this is the first study to review the literature on big data by using citation and co-citation analysis.

THE CONCEPT AS THE OBJECT OF STUDY OF LINGUISTICS

2020 ◽  
Vol 72 (2) ◽  
pp. 236-242
Author(s):  
K. Galiyeva ◽  
◽  
S. Isakova ◽  
Keyword(s):  
Cognitive Linguistics ◽  
Point Of View ◽  
Subject Areas ◽  
The Subject ◽  
Basic Concepts ◽  
Points Of View ◽  
Definition Of ◽  
Object Of Study ◽  
Linguistic Phenomenon ◽  
Scientific Fields

The article is devoted to the definition of concept in modern linguistics. Various points of view and definitions of the basic concepts are considered: "concept", "conceptual sphere", "content". The aim of the article is to describe and explain such a complex unit as a concept from the point of view of linguistics. The object of research is studied in its various manifestations, the combination of verbal and nonverbal means of information expression in the conceptual sphere is revealed. the relevance of this topic is due to the need for a detailed consideration of the concept of concept based on the works of prominent scientists and linguists. Researchers treat the concept as a cognitive, psycholinguistic, linguocultural, cultural and linguistic phenomenon. The concept is an umbrella term because it "covers" the subject areas of several scientific fields: primarily cognitive psychology and cognitive linguistics.

scholarly journals Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

2016 ◽  
Vol 4 (1) ◽  
pp. 129 ◽  
Author(s):  
Narasimha Rao Vajjhala ◽  
Ervin Ramollari
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Fault Tolerance ◽  
Competitive Advantage ◽  
Computer Architecture ◽  
Financial Resources ◽  
Future Research ◽  
Current Trends ◽  
Low Performance ◽  
Research Frontiers

Big Data has been listed as one of the current and future research frontiers by Gartner. Large-sized companies are already investing on and leveraging big data. Small-sized and medium-sized enterprises (SMEs) can also leverage big data to gain a strategic competitive advantage but are often limited by the lack of adequate financial resources to invest on the technology and manpower. Several big data challenges still exist especially in computer architecture that is CPU-heavy but I/O poor. Cloud computing eliminates the need to maintain expensive computing hardware and software. Cloud computing resources and techniques can be leveraged to address the traditional problems associated with fault tolerance and low performance causing bottlenecks to using big data. SMEs can take advantage of cloud computing techniques to avail the advantages of big data without significant investments in technology and manpower. This paper explores the current trends in the area of big data using cloud resources and how SMEs can take advantage of these technological trends. The results of this study will benefit SMEs in identifying and exploring possible opportunities and also understanding the challenges in leveraging big data.

scholarly journals INTERNATIONAL ELECTRONIC STOCK TRADING: MECHANISM OF FUNCTIONING AND CURRENT TRENDS

2019 ◽  
Vol 4 (20) ◽  
pp. 15-24
Author(s):  
Andriy Syshchuk ◽  
Viktoria Khirova
Keyword(s):  
International Trade ◽  
Point Of View ◽  
Theory And Practice ◽  
Stock Exchanges ◽  
Stock Trading ◽  
Trade Relations ◽  
Current Trends ◽  
Stock Indices ◽  
Trading Mechanism

Abstract. Modern international electronic stock trading is becoming increasingly important in the organization of the system of international trade relations. Several studies of the domestic and foreign scientists have highlighted various aspects of the place and role of electronic exchanges in trade relations between countries. At the same time, the peculiarities of the mechanism of functioning of the international e-commerce, which is constantly evolving and improving, need to be studied both from the point of view of theory and practice. Electronic exchanges have created and implemented their own mechanism of functioning, which turns them into the most organized form of international trade. It is substantiated that trends and key features of the development of electronic exchanges can be tracked and forecasted with the help of relevant stock indices. The main features and the most important aspects of the development of electronic exchanges are determined, based on the analysis of stock indices of the two largest electronic exchanges in the world, the geographical structure of electronic stock exchanges and the dynamics of the use of artificial intelligence in the exchange trading process. Here also highlighted the negative and positive interdependencies regarding the future development of international e-commerce.

scholarly journals The President and Local Government in Russia: The Theory and Practice of Interaction

2020 ◽  
Vol 15 (12) ◽  
pp. 41-47
Author(s):  
A. M. Budaev
Keyword(s):  
Legal Framework ◽  
Point Of View ◽  
Theory And Practice ◽  
Equal Opportunities ◽  
Economic Relations ◽  
Democratic State ◽  
Head Of State ◽  
The Russian Federation ◽  
Basic Characteristics ◽  
Russian Model

Since the adoption of the current Constitution of Russia that established the constitutional foundations of the implementation of state power and local self-government in the Russian Federation, more than 25 have passed. This period was saturated from the point of view of the formation of the legal framework of socio-political and socio-economic relations in our country. The analysis shows that local self-government is one of the basic characteristics of the Russian model of democracy. On the other hand, in recent years it is impossible not to mention the tendency to increase the efforts of federal authorities, and first of all the head of state, to maximize the involvement of local authorities of self-government in a unified political and legal field of the State. This is largely justified by the need to provide every resident of the country with equal opportunities for a comfortable and safe life. The paper formulates the author’s view concerning the changes that are taking place; and at the same time, it is proposed to continue scientific discussions regarding the development of local self-government—an institution of a modern civilized democratic state that is necessary for us all.

scholarly journals FORECASTING OF BLOCKCHAIN TECHNOLOGY DEVELOPMENT IN ECONOMY: ACCOUNTING POINT OF VIEW

2019 ◽  
pp. 37-44
Author(s):  
L. Shkulipa
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Technology Development ◽  
Local Economy ◽  
Point Of View ◽  
Negative Effects ◽  
Blockchain Technology ◽  
Hype Cycle ◽  
Predictive Assessment ◽  
Further Development

In the article the importance of blockchain technology in the economy and predicting its development from the accounting point of view was investigated. The methods used in the study are based on the analysis of literature related to disclosure issues and a description of existing blockchain claims on the world stage. On the basis of this, a predictive assessment of the considered results for the further development of blockchain technology in the economy, its impact on accounting and the profession of accountant was made. The findings include the positive and negative effects of blockchain technology on the medical and banking sectors, information technology, the financial sector, and accounting. The blockchain in the hype cycle was considered as a phenomenon that all new technologies undergo before stable existing or disappearing. Based on the consideration of the most famous blockchain projects with the combination of Big Data, the estimation of the development technologies of Blockchain and Big Data in finance was discussed. This study suggests to consider blockchain technology as (1) a new way of sending and processing invoices, documents, contracts, and payments, reducing errors, costs and transaction time; (2) a path to financial equality through affordability; (3) investments in the local economy so that developing countries can grow significantly; (4) updating the currency market and the international monetary and financial transaction system; (5) a major breakthrough in the economy together with the Big Data technology.

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