E-Business - Higher Education and Intelligence Applications最新文献

Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value 现代商业智能:创造数据驱动价值的大数据分析和人工智能

E-Business - Higher Education and Intelligence Applications Pub Date : 2021-05-19 DOI: 10.5772/INTECHOPEN.97374

A. A. Gad-Elrab

引用次数: 2

An Overview of Digital Entrepreneurship in Central and Eastern European Countries 中欧和东欧国家的数字创业概述

E-Business - Higher Education and Intelligence Applications Pub Date : 2021-01-30 DOI: 10.5772/INTECHOPEN.95961

Mladen Turuk

{"title":"An Overview of Digital Entrepreneurship in Central and Eastern European Countries","authors":"Mladen Turuk","doi":"10.5772/INTECHOPEN.95961","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.95961","url":null,"abstract":"The aim of the study is to explore and present an overview of digital entrepreneurship in Central and Eastern European countries and to examine how certain components of the DESI index affect GDP per capita in CEE countries and in what way modern information technologies affect their economies. The paper uses secondary data sources, mostly scientific and professional journals from the studied area, DESI reports, Eurostat data, and other Internet sources. The first part of the paper presents a short introduction on digitization digital entrepreneurship and digital technologies. The second part provides a descriptive analysis of digital entrepreneurship indicators and explores business demography in the ICT sector while the third part refers to the analysis of the DESI index. The panel method on data from 2015 to 2019 was used to show the influence of the different DESI index components on the observed countries’ GDP per capita. The hypothesis that the components of the DESI index have a positive impact on GDP per capita has been partially confirmed. DESI rank, Connectivity and Human capital did not prove to be significant, while Use of internet services, Integration of digital technology, and Digital public services proved their significant positive effect.","PeriodicalId":170398,"journal":{"name":"E-Business - Higher Education and Intelligence Applications","volume":"993 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134550094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Recent Advances in Stock Market Prediction Using Text Mining: A Survey 基于文本挖掘的股票市场预测研究进展综述

E-Business - Higher Education and Intelligence Applications Pub Date : 2020-06-01 DOI: 10.5772/intechopen.92253

Faten Alzazah, Xiaochun Cheng

{"title":"Recent Advances in Stock Market Prediction Using Text Mining: A Survey","authors":"Faten Alzazah, Xiaochun Cheng","doi":"10.5772/intechopen.92253","DOIUrl":"https://doi.org/10.5772/intechopen.92253","url":null,"abstract":"Market prediction offers great profit avenues and is a fundamental stimulus for most researchers in this area. To predict the market, most researchers use either technical or fundamental analysis. Technical analysis focuses on analyzing the direction of prices to predict future prices, while fundamental analysis depends on analyzing unstructured textual information like financial news and earning reports. More and more valuable market information has now become publicly available online. This draws a picture of the significance of text mining strategies to extract significant information to analyze market behavior. While many papers reviewed the prediction techniques based on technical analysis methods, the papers that concentrate on the use of text mining methods were scarce. In contrast to the other current review articles that concentrate on discussing many methods used for forecasting the stock market, this study aims to compare many machine learning (ML) and deep learning (DL) methods used for sentiment analysis to find which method could be more effective in prediction and for which types and amount of data. The study also clarifies the recent research findings and its potential future directions by giving a detailed analysis of the textual data processing and future research opportunity for each reviewed study.","PeriodicalId":170398,"journal":{"name":"E-Business - Higher Education and Intelligence Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121507629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

The Paradox of Indonesian Digital Economy Development 印尼数字经济发展的悖论

E-Business - Higher Education and Intelligence Applications Pub Date : 2020-05-27 DOI: 10.5772/intechopen.92140

Vience Mutiara Rumata, A. S. Sastrosubroto

引用次数: 12

Natural Language Processing Applications in Business 自然语言处理在商业中的应用

E-Business - Higher Education and Intelligence Applications Pub Date : 2020-05-11 DOI: 10.5772/INTECHOPEN.92203

Mohammed Bahja

引用次数: 16

Internationalization of China’s E-Commerce Higher Education: A Review between 2001 and 2019 中国电子商务高等教育国际化:2001 - 2019年回顾

E-Business - Higher Education and Intelligence Applications Pub Date : 2020-04-17 DOI: 10.5772/intechopen.91951

Wenying Huo, Mingxuan Wu, J. Soar

{"title":"Internationalization of China’s E-Commerce Higher Education: A Review between 2001 and 2019","authors":"Wenying Huo, Mingxuan Wu, J. Soar","doi":"10.5772/intechopen.91951","DOIUrl":"https://doi.org/10.5772/intechopen.91951","url":null,"abstract":"The purpose of this chapter is to review the development of China’s higher education in electronic commerce (e-commerce) and explore the requirements of the internationalization of China’s e-commerce higher education. The Benefit-Driving Model (BDM) was adopted to explain the reasons for the internationalization of China’s e-commerce higher education. The literature review spans 20 years from 2001 when the first 13 e-commerce programs were offered from China’s 597 universities. By 2019, 328 e-commerce programs were offered by 831 universities. There is a sustainable growth from 2001 (2.17%, 13 of 597) to 2019 (39.47%, 328 of 831). Currently, six universities offer two e-commerce programs with different majors. Eight universities established specialized e-commerce schools. There are also six jointly founded or cooperative e-commerce programs run in China with overseas universities. This research may be valuable for any international organization interested in collaboration with China’s e-commerce higher education. A limitation is that this research focuses only on bachelors of e-commerce programs. Further research will explore factors for success in jointly founded e-commerce programs with China’s e-commerce educators.","PeriodicalId":170398,"journal":{"name":"E-Business - Higher Education and Intelligence Applications","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116053363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Using Multi-Agent System to Govern the IT Needs of Stakeholders 利用多代理系统治理利益相关者的信息技术需求

E-Business - Higher Education and Intelligence Applications Pub Date : 2020-04-11 DOI: 10.5772/intechopen.91440

Chakir Aziza, Chergui Meriyem

{"title":"Using Multi-Agent System to Govern the IT Needs of Stakeholders","authors":"Chakir Aziza, Chergui Meriyem","doi":"10.5772/intechopen.91440","DOIUrl":"https://doi.org/10.5772/intechopen.91440","url":null,"abstract":"Many organizations spread and integrate the practices of the Information Technology Governance, Risk and Compliance (IT GRC). The problem that arises is how to choose the best practice to satisfy a precise need. This chapter concerns the study and the conception of decision-making architecture with the multi-agent system (MAS). So, the objective of this research is to build a decision-making model to satisfy a precise IT need. The proposed approach rests on four main stages to set up the decision-making model, which takes as input the strategic needs. The realized work has as objective to minimize the incoherence between the decisions taken by the stakeholders of an organization compared with the defined strategic objectives. The decision-making would contribute to legitimize the taken decision. This work is based on modeling a MAS, which rests on the idea that it is possible to represent directly the behavior and the interactions of a set of autonomous individuals evolving in a common environment. Finally, the proposed solution is part of a global platform for IT Governance, Risk and IT Compliance (EAS-IT GRC) (“EAS is the name of our team”).","PeriodicalId":170398,"journal":{"name":"E-Business - Higher Education and Intelligence Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127086451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1