scholarly journals COMMERCIALIZATION OF COPYRIGHT CONTENT THROUGH DIGITAL PLATFORMS IN INDONESIA

2019 ◽  
Vol 1 (01) ◽  
pp. 1-7
Author(s):  
Tasya Safiranita Ramli ◽  
Ahmad M. Ramli ◽  
Rika Ratna Permata ◽  
Danrivanto Budhijanto
Keyword(s):  
Artificial Intelligence ◽  
Genetic Engineering ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Internet Technology ◽  
Digital Innovation ◽  
Digital Platforms ◽  
The World ◽  
New Business ◽  
World Industry

With the new advances in the Industrial Revolution 4.0 era, which were initiated by artificial intelligence coupled with genetic engineering and nanotechnology, changes will occur in a very fast period of time and result in an impact on the economic industry and also governance in the presence of new business that was born of innovators to create strategies through digital platforms. In Indonesia, digital innovation is not only in one area, but also in the fields of education, food, health, which is also used as a new law in government that supports the Industrial Revolution 4.0 era. These developments also affected the world industry. The birth of the term Industrial Revolution 4.0 was a continuation of the previous industrial revolution. The Industrial Revolution 4.0 is an amalgamation of an optimized manufacturing industry with the latest internet technology.

scholarly journals PERAN KEPERCAYAAN DAN SIKAP TERHADAP MOBILE SHOPPING UNTUK MENINGKATKAN NIAT PEMBELIAN ULANG

2020 ◽  
Vol 15 (2) ◽  
pp. 307-319
Author(s):  
Ken Sudarti ◽  
Annissa Aprilia Sari
Keyword(s):  
Artificial Intelligence ◽  
Millennial Generation ◽  
Industrial Revolution ◽  
Online Shopping ◽  
Sampling Technique ◽  
Perceived Usefulness ◽  
Digital Platforms ◽  
Central Java ◽  
Mobile Shopping ◽  
The World

The world has now entered the era of the Industrial Revolution 4.0, where in this era the world was colored by artificial intelligence (artificial intelligence), genetic engineering, nanotechnology, innovation, and changes that occurred rapidly had an impact on the economy, industry, government, and politics. Industry 4.0 is more likely to lead to business activities using digital platforms such as mobile shopping, e-commerce, marketplaces, and so on. The characteristic of online shopping is that it must be simple and fun, and with a very varied platform can increase its own trust in consumers to shop online. This study aims to develop the concept of a business platform that can affect the perceived usefulness and perceived enjoyment of the millennial generation in online shopping. This concept focuses on one's repurchase intention to do online shopping which is influenced by the existence of so many business platforms and provide different services. The population used is characteristic of the millennial generation in Central Java. This sampling technique using purposive sampling method. The samples used amounted to more than 100 millennials in Central Java, and who frequently use business platforms/applications in online shopping. Data analysis techniques using regression with SPSS

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

РЕГИОНАЛЬНЫЕ ЭКОНОМИЧЕСКИЕ ИССЛЕДОВАНИЯ С ИСПОЛЬЗОВАНИЕМ АЛГОРИТМОВ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА: СОСТОЯНИЕ И ПЕРСПЕКТИВЫ

2020 ◽  
Vol 26 (8) ◽  
pp. 100-111
Author(s):  
V. Blanutsa ◽  
Keyword(s):  
Artificial Intelligence ◽  
Search Algorithm ◽  
Gravitational Interaction ◽  
Telecommunication Networks ◽  
Government Support ◽  
Economic Research ◽  
Scientific Publications ◽  
Regional Economic ◽  
Digital Platforms ◽  
The World

The national strategy for the development of artificial intelligence for the period up to 2030 sets the task of a significant increase in the number of scientific articles by Russian scientists in this field. To do this, it is necessary to navigate the priorities, problems and prospects of scientific research carried out all over the world. However, there is currently not a single generalizing work on regional economic studies using artificial intelligence algorithms. Therefore, the object of the study was the world array of scientific publications on regional economic research, and the subject of the study was a lot of articles on the use of artificial intelligence algorithms in such studies. The purpose of the work was to generalize world experience. To select the necessary publications, a self-organizing semantic search algorithm has been developed, based on the ideas of content analysis, expert systems and machine learning. The search was carried out in the Scopus database. About a hundred articles were identified. A brief description of ten artificial intelligence algorithms used in regional economic research is given. Analysis of world experience has revealed five features: algorithms are not used to solve all research problems; are not aimed at creating a universal autonomous artificial intelligence system; are increasingly focusing outside of artificial neural networks; rarely used in combination; in domestic works are less diverse than in competing countries. It is proposed to focus efforts on identification of economic regions of specific functioning of production, transport and service systems of artificial intelligence; identification of territorial digital platforms; analysis of the intensity of gravitational interaction of geographically distributed socio-economic objects through 5G and 6G telecommunication networks; assessment of the direction and volume of regional information flows; determination of models of spatial diffusion of innovations in artificial intelligence among Russian regions. The accelerated development of these areas with significant government support will allow Russia to provide a methodological gap from other countries in the field of regional economic research by 2030

Disruptions of the Fourth Industrial Revolution

2021 ◽  
pp. 189-199
Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera
Keyword(s):  
Artificial Intelligence ◽  
Technological Innovation ◽  
Industrial Revolution ◽  
Technological Innovations ◽  
Fourth Industrial Revolution ◽  
Skill Gaps ◽  
The World ◽  
The Future ◽  
The Impact ◽  
And Robotics

The Fourth Industrial Revolution has resulted in the disruption of the world of work whereby technological innovation such as artificial intelligence (AI) and robotics. These disruptions may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. This chapter explored the impact of disruptive technological innovations on the future of work. The skill gaps brought about by the emergence of the Fourth Industrial Revolution was also explored in this chapter.

Inequality and Labour Pains

2020 ◽  
pp. 203-219
Author(s):  
Kaushik Basu
Keyword(s):  
Artificial Intelligence ◽  
New Technology ◽  
Economic Inequality ◽  
The State ◽  
Basic Information ◽  
Digital Platforms ◽  
Global Challenge ◽  
Policy Interventions ◽  
The World ◽  
Labour Pains

A topic that has come increasingly into limelight is rising economic inequality in the world and the suffering of the labouring classes associated with the rise of new technology—in particular, artificial intelligence and digital platforms. Not surprisingly, these were topics with which the author had some ample engagement during his years as policymaker and this chapter speaks to this new global challenge. The chapter provides some basic information about the state of inequality and the falling share of labour income, and also suggests policy interventions to mitigate some of these problems.

The prioritization of technologies and public R&D roles between the manufacturing and service industries in the fourth industrial revolution

foresight ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 680-694 ◽  
Author(s):  
Jinwon Kang ◽  
Jong-Seok Kim ◽  
Seonmi Seol
Keyword(s):  
Artificial Intelligence ◽  
Manufacturing Industry ◽  
Market Failure ◽  
Industrial Revolution ◽  
Service Industry ◽  
Service Industries ◽  
Delphi Survey ◽  
Smart Factory ◽  
Content Type ◽  
Fourth Industrial Revolution

Purpose The purpose of this study is to reveal the similarities and differences between the manufacturing and service industries in their prioritization of technologies and public research and development (R&D) roles, along with the complementation of properties of technology and public R&D role in the context of Fourth Industrial Revolution. Design/methodology/approach Two rounds of Delphi surveys were designed to meet the purpose of this study, which used rigorous triangulation techniques. The Delphi method was combined with the brainstorming method in the first-round Delphi survey, while the second-round Delphi survey focused on experts’ judgments. Finally, language network analysis was performed on the properties of technology and public R&D roles to complement the data analyses regarding prioritization. Findings This study identifies different prioritizations of five similar key technologies in each industry, so that it can note different technological impacts to the two industries in the Fourth Industrial Revolution. Smart factory technology is the first priority in the manufacturing industry, whereas artificial intelligence is the first priority in the service industry. The properties of the three common technologies: artificial intelligence, big data and Internet of things in both industries are summarized in hyper-intelligence on hyper-connectivity. Moreover, it is found that different technological priorities in the service and manufacturing industries require different approaches to public R&D roles, while public R&D roles cover market failure, system failure and government failure. The highest priority public R&D role for the service industry is the emphasis of non-R&D roles. Public R&D role to solve dy-functions, focus basic technologies and support challenging areas of R&D is prioritized at the highest for the manufacturing industry. Originality/value This study of the different prioritizations of technologies in the manufacturing and service industries offers practical lessons for executive officers, managers and policy-makers. They, by noting the different technological impacts in the manufacturing and service industries, can prepare for current actions and establish the priority of technology for R&D influencing the future paths of their industries in the context of the Fourth Industrial Revolution. While managers in the service industry should pay greater attention to the technological content of hyper-intelligence and hyper-connectivity, managers in the manufacturing industry should consider smart factory and robot technology.

scholarly journals FUTURE MODERN RETAIL SOLUTIONS AND SHOPPER EXPERIENCE

2018 ◽  
Vol 18 (1) ◽  
pp. 215-228
Author(s):  
Viorica JELEV
Keyword(s):  
Artificial Intelligence ◽  
World Trade ◽  
Manufacturing Industry ◽  
Job Creation ◽  
Modern Technology ◽  
Sales Growth ◽  
Focus Attention ◽  
Buying Behavior ◽  
The World ◽  
Main Driver

Artificial intelligence and automation will radically change the world, but if we want society to benefit from these changes, we need to properly prepare ourselves through an education tailored to new times. Until the last century, it was the manufacturing industry that created jobs. But today, as a result of the existence of artificial intelligence, robots, the manufacturing industry is no longer the main driver of job creation but the service industry.As competition grows, brand manager imagination needs to work, and sales growth solutions need to focus on customer focus attention. It is a difficult task if all brands offer discounts in the malls they are in, and the announcement of differentiation is put to the attention of specialists who offer solutions for fun of any kind for the clients. The article aims to present the evolution of world trade in recent years and the various ways of diversion invented by retailers to keep customers in store chains longer time for them to buy more.The conclusion of this article will focus on the idea of future trade based on modern technology inside stores, which will lead to profound changes in customer buying behavior.

scholarly journals The Phenomenon of Competitive Human Resources and How It Impacts Business Growth

2021 ◽  
Author(s):  
Arvin Winatha
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Human Resources ◽  
Industrial Revolution ◽  
Business Organizations ◽  
Business Growth ◽  
Global Era ◽  
It Impacts ◽  
The World ◽  
Fourth Wave

Increasingly tight business competition map of industry has been the main focus for everyone in the world, especially in the industry we call it as the Industry era 4.0 . The awareness of this competiton has made many business organizations in the world, including Indonesia busy preparing themselves, particularly those related to the development of human resources, to be ready to compete in this global era. The Fourth wave of industrial revolution is marked by the use of information technology, artificial intelligence, and automatic engines or vehicles that have been going on since years before.

Artificial Intelligence, Marketing, and the Fourth Industrial Revolution

2021 ◽  
pp. 1-13
Author(s):  
Andreas Kaplan
Keyword(s):  
Artificial Intelligence ◽  
Case Studies ◽  
Industrial Revolution ◽  
Metropolitan Museum ◽  
Ethical Concerns ◽  
Fourth Industrial Revolution ◽  
The World

Artificial intelligence has been part of the world of marketing for some time now. This chapter will look at how artificial intelligence is defined and classified, illustrating its potential for the marketing domain with a variety of examples from various industries and sectors. Ethical concerns arising from the application of AI marketing will be discussed in the second part of this chapter. Before concluding, three brief case studies will give further insights, looking in detail at the AI activities of Airbnb, NYC's Metropolitan Museum of Artificial Intelligence, and retail giant Walmart.

Computational Statistics-Based Prediction Algorithms Using Machine Learning

2021 ◽  
pp. 64-80
Author(s):  
Venkat Narayana Rao T. ◽  
Manogna Thumukunta ◽  
Muralidhar Kurni ◽  
Saritha K.
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Predictive Models ◽  
Industrial Revolution ◽  
Computational Statistics ◽  
Market Risks ◽  
The World ◽  
Lasting Impression ◽  
Stock Values

Artificial intelligence and automation are believed by many to be the new age of industrial revolution. Machine learning is an artificial intelligence section that recognizes patterns from vast amounts of data and projects useful information. Prediction, as an application of machine learning, has been sought after by all kinds of industries. Predictive models with higher efficiencies have proven effective in reducing market risks, predicting natural disasters, indicating health risks, and predicting stock values. The quality of decision making through these algorithms has left a lasting impression on several businesses and is bound to alter how the world looks at analytics. This chapter includes an introduction to machine learning and prediction using machine learning. It also sheds light on its approach and its applications.

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