scholarly journals Information Technology Adoption on Digital Marketing: A Literature Review

Informatics ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 74
Author(s):  
Fátima Figueiredo ◽  
Maria José Angélico Gonçalves ◽  
Sandrina Teixeira
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Literature Review ◽  
Big Data Analysis ◽  
Digital Marketing ◽  
Data Generation ◽  
Business World ◽  
Information Technology Adoption ◽  
Machine Learning Methods ◽  
Profound Knowledge

Data generation is currently expanding at an astonishing pace, and the function of marketing is becoming increasingly sophisticated and customized. Companies seek to understand their internal corporate environment and externalities and to exponentially enhance their marketing power. This study aims to understand the influence of Big data analysis on digital marketing. The methodologies used to approach this issue were: (a) a systematic literature review based on articles dated between 2014 and 2020; and (b) a bibliometric analysis of articles dated between 2000 and 2020 using the software VOSviewer. The literature review allowed us to conclude that in the next decades, the business world in general, and marketing in particular, will define more oriented strategies based on a more profound knowledge of consumer behavior. Artificial intelligence agents driven by machine learning methods, technology, and Big data will be a conditioning factor in defining these strategies.

The Role of Big Data in Digital Marketing

2021 ◽  
pp. 16-33
Author(s):  
Neslihan Cavlak ◽  
Ruziye Cop
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Big Data Analytics ◽  
Digital Marketing ◽  
Business Success ◽  
Sustainable Business ◽  
Marketing Environment ◽  
Digital Environments ◽  
Digital Channels

Consumers perform their activities through digital channels more often as a result of technological advancements where those advancements also allow marketers to reach excessive information about consumers, store them, and use them whenever and however they consider necessary. These big data provide businesses to understand the unmet demands and expectations of consumers and achieve a sustainable business success. Despite the importance of big data analytics for marketing of businesses, research on this issue is scarce. In order to contribute the literature, the purpose of this chapter is to reveal the importance of big data in the digital marketing environment. In line with this purpose, a comprehensive literature review including the definition, components, sources of big data, and the role of big data in digital environments and the examples of businesses using big data is undertaken.

scholarly journals A Data-Driven Platform to Computer Performance Analysis and Recommendation using AI and Big Data Analysis

2021 ◽  
Author(s):  
Shuo Chen ◽  
Yu Sun
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Qualitative Evaluation ◽  
Cost Effective ◽  
Big Data Analysis ◽  
Data Driven ◽  
Computer Performance ◽  
Time And Energy ◽  
Artificial Intelligence Application ◽  
Intelligence Application

When I was assembling the computer, I found a problem. This problem is that we need to spend a lot of time and energy when we choose a desktop with a configuration and price that we are satisfied with [5]. Some computer websites will only recommend some ordinary desktops to users. Does not allow users to get what they really want, and some other shops that assemble computer mainframes use the characteristics of customers that do not understand computers to increase prices. So I wanted to create a software to help these people who need to assemble a computer to find the most suitable computer efficiently and in accordance with their requirements [6]. This program, according to the needs of users, artificial intelligence application crawler technology can help users find the most suitable computer parts based on big data, and help users get the most cost-effective self-assembled computer host. We applied our application to match a person in need of a computer host with My Platform and conducted a qualitative evaluation of the method [7]. The results showed that My Platform can efficiently and quality match the user's needs and find the best solution for the user.

scholarly journals The Use of Technical Analysis in the US, European and Asian Stock Markets

2020 ◽  
Vol 8 ◽  
pp. 302-318
Author(s):  
Deimante Teresiene ◽  
Margarita Aleksynaite
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Analysis ◽  
Stock Markets ◽  
Investment Decisions ◽  
Technical Analysis ◽  
Big Data Analysis ◽  
The Us

Technical analysis is a widely used tool in making investment decisions. Nowadays it becomes very popular in the context of big data analysis and artificial intelligence framework. Although the analysis of the results of indicators in certain markets often becomes the axis of technical analysis research, it is difficult to find articles aimed at applying and comparing this analysis in different markets. This paper attempts to answer the question of whether technical analysis indicators work in the same or different ways in the US, European, and Asian stock markets. For this purpose, 8 indicators are calculated, and their results are compared in three selected markets. The correlation between the indicators themselves in individual markets is also determined. It has been observed that the performance of technical analysis is similar in different markets so this type of analysis can be used in artificial intelligence framework.

scholarly journals A Discussion on How to Apply Smart Data for Precision Marketing in the Global Economy: Asian Context

2021 ◽  
Vol 1 (2) ◽  
pp. 70-84
Author(s):  
Sandy Zhu
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Global Economy ◽  
Digital Marketing ◽  
Core Concepts ◽  
Artificial Intelligence Technology ◽  
Smart Data ◽  
Asian Context ◽  
The Right ◽  
Full Swing

The aim of the research is to provide support for the application of smart data, precision marketing, and business analysis and in so doing, it is aimed to contribute to the further sustainable development of the economy. At present, intelligent technologies such as artificial intelligence and big data are developing in full swing, and various application scenarios are gradually being launched. Smart data is a new sort of database in combination with artificial intelligence and big data technology, which makes artificial intelligence technology and big data the core concepts and the foundation of digital smart data. With smart data, companies could apply precision marketing to better reach their target consumers, push notifications at the right time, advertise the products and services consumers are interested in, and establish personalised marketing communication with each consumer in order to increase marketing efficiency. Undoubtedly, precision marketing has become the top priority in the development of the digital marketing industry, and it is becoming increasingly popular. The paper is based on this perspective and starts with an overview of smart data. The definition and development status of smart data are first reviewed, followed by an analysis of the application of smart data technology and precision marketing in digital marketing.

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