scholarly journals On the Future of Pricing

2021 ◽  
Vol 4 (1) ◽  
pp. p8
Author(s):  
Hermann Simon
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Social Services ◽  
The Internet ◽  
Social Tensions ◽  
The Future ◽  
And Performance

Price is the most effective profit driver. In recent years we have seen a wave of innovations in pricing driven by technology. The internet, big data, and artificial intelligence enable the implementation of complex price structures, individualized pricing, ongoing time-based adjustments and performance-based pricing. Prices are increasingly expanding into areas such as the environment, traffic, social services and education. Pricing such services may be politically expedient but can lead to social tensions.

Big Data, Artificial Intelligence, and the Internet of Things in Cross-Border E-Commerce

2021 ◽  
pp. 257-272
Author(s):  
Aboobucker Ilmudeen
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Economic Globalization ◽  
The Internet ◽  
Technological Revolution ◽  
Cross Border ◽  
Wide Range ◽  
The Internet Of Things

Today, the terms big data, artificial intelligence, and internet of things (IoT) are many-fold as these are linked with various applications, technologies, eco-systems, and services in the business domain. The recent industrial and technological revolution have become popular ever before, and the cross-border e-commerce activities are emerging very rapidly. As a result, it supports to the growth of economic globalization that has strategic importance for the advancement of e-commerce activities across the globe. In the business industry, the wide range applications of technologies like big data, artificial intelligence, and internet of things in cross-border e-commerce have grown exponential. This chapter systematically reviews the role of big data, artificial intelligence, and IoT in cross-border e-commerce and proposes a conceptually-designed smart-integrated cross-border e-commerce platform.

Big Data, Data Science, and Career Pathways

2020 ◽  
pp. 239-254
Author(s):  
David W. Dorsey
Keyword(s):  
Big Data ◽  
Data Science ◽  
Career Pathways ◽  
Unstructured Data ◽  
Future Application ◽  
The Internet ◽  
The Future ◽  
Skill Requirements ◽  
Enormous Number ◽  
Over Time

With the rise of the internet and the related explosion in the amount of data that are available, the field of data science has expanded rapidly, and analytic techniques designed for use in “big data” contexts have become popular. These include techniques for analyzing both structured and unstructured data. This chapter explores the application of these techniques to the development and evaluation of career pathways. For example, data scientists can analyze online job listings and resumes to examine changes in skill requirements and careers over time and to examine job progressions across an enormous number of people. Similarly, analysts can evaluate whether information on career pathways accurately captures realistic job progressions. Within organizations, the increasing amount of data make it possible to pinpoint the specific skills, behaviors, and attributes that maximize performance in specific roles. The chapter concludes with ideas for the future application of big data to career pathways.

scholarly journals Law in Context for the Digital Age

2019 ◽  
Vol 36 (1) ◽  
pp. 3-11
Author(s):  
Pompeu Casanovas ◽  
Jianfu Chen ◽  
David Wishart
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Digital Age ◽  
The Internet ◽  
Historical Account ◽  
Web Of Data ◽  
The Law ◽  
The Internet Of Things ◽  
The Web

We introduce both the new inception of Law in Context - A Socio-legal Journal and the continuing issue of LiC 36 (1). The editorial provides a brief historical account of the Journal since its inception in the early 1980s, in the context of the evolution of the Law & Society movement. It also describes the changes produced in the digital age by the emergence of the Web of Data, Big Data, and the Internet of Things. The convergence between Law & Society and Artificial Intelligence & Law is also discussed. Finally, we introduce briefly the articles included in this issue.          

scholarly journals Future trends: businness view and high tech

2020 ◽  
pp. 6
Author(s):  
José Rafael Marques da Silva ◽  
Manuela Correia
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Business Models ◽  
High Tech ◽  
Human Intelligence ◽  
Future Trends ◽  
Arable Crops ◽  
Food Traceability ◽  
Slide Presentation ◽  
The Future

This topic presents the macro-design of SPA that will surely appear in the coming years and also the future technological trends in SPA applied to viticulture and arable crops. A vision of the future of SPA is presented in three layers: i) human intelligence (related to soil, plants, climate, pests, diseases, environment, food production, fibre and energy) on top; ii) artificial intelligence (related to hardware, communications, data) in the middle; iii) and again human intelligence on the bottom (consumers, business models, transparency, food traceability). “Big Data” challenges are discussed regarding the specific needs of agriculture. The technological groups identified in a Foresight Analysis report are discussed and the future technological trends on arable crops and vineyards are presented. In this topic, materials include a slide presentation, a document text and the Foresight Analysis report.

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