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The cyber security in the age of telework: A descriptive research framework through science mapping

The cyber security in the age of telework: A descriptive res...

引用

2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020

作者： Medina-Rodriguez, C.E. Casas-Valadez, M.A. Faz-Mendoza, A. Castaneda-Miranda, R. Gamboa-Rosales, N.K. Lopez-Robles, J.R. Autonomous University of Zacatecas Academic Unit of Accounting and Administration Zacatecas Mexico Autonomous University of Zacatecas Post. Program of Eng. and Applied Tech. National Lab. CONACYT-SEDEAM Zacatecas Mexico CONACYT-Autonomous University of Zacatecas Academic Unit of Electrical Engineering Zacatecas Mexico

ISBN: (纸本)9781728196756

Teleworking is a work model that has been widely accepted by organizations, mostly since it has many advantages over traditional work. Most organizations have implemented it to attract new human talent and keep the existing one, preventing the flight of intellect or theft by competition. For the worker it also presents several advantages, such as savings in travel times, savings in fuel costs and more free time. However, one of the many disadvantages of teleworking is information security. We live in a digitized world, where cyber attacks represent a great threat for users and organizations, attacks that are increasing day by day. Cyber security, also known as information technology security or electronic information security, has become a necessity in the world we live in, where ICTs have had a great development as well as acceptance by users. Cyber security seeks to identify the strategies, to implement and to maintain a safe environment, but also to prevent threats and/or attacks. The main objective of cyber security is to generate trust between customers, suppliers and the general market, about the information that is handled on the network. Cyber security must be one step ahead of crime to offer support in all the digital movements that we do. © 2020 IEEE.

关键词： Cybersecurity

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The synergic relationship between e-commerce and Sentiment Analysis: A content analysis of published articles between 2007 and 2020

The synergic relationship between e-commerce and Sentiment A...

引用

2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020

作者： Casas-Valadez, M.A. Faz-Mendoza, A. Medina-Rodriguez, C.E. Castaneda-Miranda, R. Gamboa-Rosales, N.K. Lopez-Robles, J.R. Autonomous University of Zacatecas Academic Unit of Accounting and Administration Zacatecas Mexico Autonomous University of Zacatecas Post. Program of Eng. and Applied Tech. National Lab. CONACYT-SEDEAM Zacatecas Mexico CONACYT-Autonomous University of Zacatecas Academic Unit of Electrical Engineering Zacatecas Mexico

ISBN: (纸本)9781728196756

Electronic Commerce or e-commerce a trend with greater evolution. It has achieved unstoppable growth and is still in the transformation phase, which is why, in time, it will position itself as the most competitive and complex market. It is expected that there will be more than 2 billion digital buyers in the world in 2020, by 2021 it will reach 4.88 billion in global retail e-commerce sales alone and by 2040, it is expected that around 95% of all purchases are made through e-commerce and 85% of consumers do research online before making a purchase. In this way, the organizations need to know if users speak positively or negatively about their products or services, causing changes in how their brand is perceived. For this reason, organizations have developed strategies and tools to manage their reputation;One of them is the Sentiment Analysis, which is defined as an automated technique to extract significant information from customers, related to their attitudes, emotions and opinions. This complex data analysis is carried out with the implementation of automated algorithms. The approach of these methodologies assumes the interest of this research for the extraction of information that allows its later use in the decision-making of organizations. Finally, to learn more about its evolution, trends, research areas, authors, among others, a bibliometric analysis was applied from 2007 to date on synergy between Electronic Commerce and Sentiment Analysis. © 2020 IEEE.

关键词： Sentiment analysis

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Decision Making using Internet of Things and Machine Learning: A bibliometric approach to tracking main research themes

Decision Making using Internet of Things and Machine Learnin...

引用

2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020

作者： Gamboa-Rosales, N.K. Castorena-Robles, A. Casas-Valadez, M.A. Cobo, M.J. Castaneda-Miranda, R. Lopez-Robles, J.R. CONACYT-Autonomous University of Zacatecas Academic Unit of Electrical Engineering Zacatecas Mexico Monterrey Institute of Technology and Higher Education Biotechnology Engineering Queretaro Mexico Autonomous University of Zacatecas Academic Unit of Accounting and Administration Zacatecas Mexico University of Cadiz Department of Computer Science and Engineering Cadiz Spain Autonomous University of Zacatecas Post. Program of Eng. and Applied Tech. National Lab. CONACYT-SEDEAM Zacatecas Mexico

ISBN: (纸本)9781728196756

The internet has become an integral part of our life, we connect daily for informational, social, entertainment and even work and economic purposes. Therefore, it is completely normal to connect to the internet;But it is not only people, also these everyday objects or things in our environment who connect to the network to take advantage of its benefits. This next stage in the evolution of the internet, in which connectivity extends to the objects which surround us, is known as the Internet of Things. Sensors, Machines, Devices, Wearables are part of the Internet of Things and these can be identified to be recognized and interact without the need for a human being. With the Internet of Things, the connection extends to any type of object. All these interconnected devices and people produce an immense amount of data, when analyzed, they become a tool that allows organizations to make wise decisions in real time by having information on various market situations and ensuring a better understanding of behavior and consumer preferences. One of the disciplines of Artificial Intelligence responsible for analyzing this large amount of data is Machine Learning, whose sole purpose is to improve the Decision-Making process. To understand the relationship between Internet of Things, application of Machine Learning and the Decision Making process, a bibliometric analysis is carried out from 2013 to 2020 to know its evolution, trends, research areas, authors and other aspects using Scopus. © 2020 IEEE.

关键词： Decision making

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The synergic relationship between e-commerce and Sentiment Analysis: A content analysis of published articles between 2007 and 2020

The synergic relationship between e-commerce and Sentiment A...

引用

Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), International Conference on

作者： M. A. Casas-Valadez A. Faz-Mendoza C. E. Medina-Rodríguez R. Castañeda-Miranda N. K. Gamboa-Rosales J. R. López-Robles Academic Unit of Accounting and Administration Autonomous University of Zacatecas Zacatecas Mexico Post. Program of Eng. and Applied Tech. National Lab. CONACYT-SEDEAM Autonomous University of Zacatecas Zacatecas Mexico Academic Unit of Electrical Engineering CONACYT-Autonomous University of Zacatecas Zacatecas Mexico

ISBN: (数字)9781728196756

ISBN: (纸本)9781728196763

Electronic Commerce or e-commerce a trend with greater evolution. It has achieved unstoppable growth and is still in the transformation phase, which is why, in time, it will position itself as the most competitive and complex market. It is expected that there will be more than 2 billion digital buyers in the world in 2020, by 2021 it will reach $4.88 billion in global retail e-commerce sales alone and by 2040, it is expected that around 95% of all purchases are made through e-commerce and 85% of consumers do research online before making a purchase. In this way, the organizations need to know if users speak positively or negatively about their products or services, causing changes in how their brand is perceived. For this reason, organizations have developed strategies and tools to manage their reputation; One of them is the Sentiment Analysis, which is defined as an automated technique to extract significant information from customers, related to their attitudes, emotions and opinions. This complex data analysis is carried out with the implementation of automated algorithms. The approach of these methodologies assumes the interest of this research for the extraction of information that allows its later use in the decision-making of organizations. Finally, to learn more about its evolution, trends, research areas, authors, among others, a bibliometric analysis was applied from 2007 to date on synergy between Electronic Commerce and Sentiment Analysis.

关键词： Sentiment analysis Organizations Electronic commerce Business Bibliometrics Tools Data mining

来源：评论

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The cyber security in the age of telework: A descriptive research framework through science mapping

The cyber security in the age of telework: A descriptive res...

引用

Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), International Conference on

作者： C. E. Medina-Rodríguez M. A. Casas-Valadez A. Faz-Mendoza R. Castañeda-Miranda N. K. Gamboa-Rosales J. R. López-Robles Academic Unit of Accounting and Administration Autonomous University of Zacatecas Zacatecas Mexico Post. Program of Eng. and Applied Tech. National Lab. CONACYT-SEDEAM Autonomous University of Zacatecas Zacatecas Mexico Academic Unit of Electrical Engineering CONACYT-Autonomous University of Zacatecas Zacatecas Mexico

ISBN: (数字)9781728196756

ISBN: (纸本)9781728196763

Teleworking is a work model that has been widely accepted by organizations, mostly since it has many advantages over traditional work. Most organizations have implemented it to attract new human talent and keep the existing one, preventing the flight of intellect or theft by competition. For the worker it also presents several advantages, such as savings in travel times, savings in fuel costs and more free time. However, one of the many disadvantages of teleworking is information security. We live in a digitized world, where cyber attacks represent a great threat for users and organizations, attacks that are increasing day by day. Cyber security, also known as information technology security or electronic information security, has become a necessity in the world we live in, where ICTs have had a great development as well as acceptance by users. Cyber security seeks to identify the strategies, to implement and to maintain a safe environment, but also to prevent threats and / or attacks. The main objective of cyber security is to generate trust between customers, suppliers and the general market, about the information that is handled on the network. Cyber security must be one step ahead of crime to offer support in all the digital movements that we do.

关键词： Security Computer crime Teleworking Organizations Computer security Industries Data security

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Strategic Intelligence and Knowledge Management as drivers of Decision-Making in Mining Industry: An analysis of the literature

Strategic Intelligence and Knowledge Management as drivers o...

引用

Decision Aid Sciences and Application (DASA), International Conference on

作者： A. Faz-Mendoza N. K. Gamboa-Rosales A. Castorena-Robles M. J. Cobo R. Castañeda-Miranda J. R. López-Robles Academic Unit of Accounting and Administration Autonomous University of Zacatecas Zacatecas Mexico Academic Unit of Electrical Engineering CONACYT-Autonomous University of Zacatecas Zacatecas Mexico Biotechnology Engineering Monterrey Institute of Technology and Higher Education Queretaro Mexico University of Cadiz Cadiz Spain Post. Program of Eng. and Applied Tech. National Lab. CONACYT-SEDEAM Autonomous University of Zacatecas Zacatecas Mexico

ISBN: (数字)9781728196770

ISBN: (纸本)9781728196787

One of the manifestations of the knowledge society is the increase in areas of uncertainty, transforming ignorance, understood as the ignorance of non-knowledge, into uncertainty, understood as the knowledge of non-knowledge. Knowledge management and strategic intelligence are transformative activities of society, implicitly connected with innovation in sustainability and business changes that result in greater organizational potential, and in a knowledge economy. The objective of Intelligence is to obtain value from data and information by analyzing a large amount of data. Mining and mineral extraction processes are a sector that due to its complexity requires tools for decision-making that ensure efficiency and competitive position without forgetting the stakeholders. Therefore, this study performs a conceptual and bibliometric analysis of production in the area of Knowledge Management and Intelligence quantifying performance indicators, identifying the main research areas and authors, and evaluating the development of the knowledge field using VOSviewer as bibliometric analysis software.

关键词： Decision making Knowledge management Data mining Bibliometrics Tools Mining industry Sustainable development

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Decision Making using Internet of Things and Machine Learning: A bibliometric approach to tracking main research themes

Decision Making using Internet of Things and Machine Learnin...

引用

Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), International Conference on

作者： N. K. Gamboa-Rosales A. Castorena-Robles M. A. Casas-Valadez M. J. Cobo R. Castañeda-Miranda J. R. López-Robles Academic Unit of Electrical Engineering CONACYT-Autonomous University of Zacatecas Zacatecas Mexico Biotechnology Engineering Monterrey Institute of Technology and Higher Education Queretaro Mexico Academic Unit of Accounting and Administration Autonomous University of Zacatecas Zacatecas Mexico University of Cadiz Cadiz Spain Post. Program of Eng. and Applied Tech. National Lab. CONACYT-SEDEAM Autonomous University of Zacatecas Zacatecas Mexico

ISBN: (数字)9781728196756

ISBN: (纸本)9781728196763

The internet has become an integral part of our life, we connect daily for informational, social, entertainment and even work and economic purposes. Therefore, it is completely normal to connect to the internet; But it is not only people, also these everyday objects or things in our environment who connect to the network to take advantage of its benefits. This next stage in the evolution of the internet, in which connectivity extends to the objects which surround us, is known as the Internet of Things. Sensors, Machines, Devices, Wearables are part of the Internet of Things and these can be identified to be recognized and interact without the need for a human being. With the Internet of Things, the connection extends to any type of object. All these interconnected devices and people produce an immense amount of data, when analyzed, they become a tool that allows organizations to make wise decisions in real time by having information on various market situations and ensuring a better understanding of behavior and consumer preferences. One of the disciplines of Artificial Intelligence responsible for analyzing this large amount of data is Machine Learning, whose sole purpose is to improve the Decision-Making process. To understand the relationship between Internet of Things, application of Machine Learning and the Decision Making process, a bibliometric analysis is carried out from 2013 to 2020 to know its evolution, trends, research areas, authors and other aspects using Scopus.

关键词： Machine learning Internet of Things Decision making Organizations Artificial intelligence Machine learning algorithms Business

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