scholarly journals A tudásalapú gazdaság regionális kihívásai a szakképzésben

2019 ◽  
Vol 6 (3) ◽  
Author(s):  
Tamás Soós

     Napjainkban a szakképzés területén tapasztalható „útkeresések” is azt mutatják, hogy komoly kihívást jelent – a képzés valamennyi szereplője részéről – az egyre magasabb szintű elvárásoknak megfelelni, a gazdasági igényeknek megfelelő mennyiségi és minőségi követelményeket teljesíteni. A szakképzés továbbfejlesztésével összefüggő közös gondolkodáshoz kívánok kapcsolódni közelmúltban elfogadott PhD értekezésemmel, amely a „ A kompetenciaigények vizsgálata a szakképzés és a munkaerőpiac összefüggéseiben,az észak-magyarországi régióban ”címmel készült. The objective of my research was to explore to what extent the competence offer of vocational education adapts to labour market demand, to what extent it can contribute to the permanently changing requirements of the enterprises of the region and the human resource development of the economic units operating here. My starting point was that present and even more, future of vocational education is determined by its capability to react to the fast technological changes, to the paradigmatic transformation going on in the economy within the industry 4.0, to the challenges of robotization characterizing knowledge directed innovation society and the development of artificial intelligence. In everyday life, however, it is generally difficult to find well-educated workers with adequate qualifications, while the quality requirements towards young professionals are continuously growing in the world of labour.

Author(s):  
I Ketut Sukewati Lanang Putra Perbawa

Revolution Industry 4.0 is one of the biggest era in this century, because in this era the big technological development happening around the world with some of the creation is Artificial Intelligence. Artificial Intelligence is one of the technology that exist in the world and can resembles like a human in the other hand Artificial Intelligence can do what actually human do for example Learning, Planning, Critical Thinking, Problem Solving, any many more. Therefore several countries using it in the court. Artificial Intelligence use it as evidence to prove some case and made prosecutor, judge and lawyer easier to work. However, in Indonesia there wasn’t the law about Artificial Intelligence therefore it would be difficult to use it in the court as evidence because according to several sources in procedural law there are some valid evidence that can only use in the court. However, the crime that happen in Indonesia usually related to technology made all the government have to forming the law about the Artificial Intelligence. 


2017 ◽  
Vol 13 (3) ◽  
pp. 19-27 ◽  
Author(s):  
Hugh Grove ◽  
Maclyn Clouse

Boards of Directors will have to play a key role in the technological survival and development of companies by asking corporate executives about their plans and strategies for these emerging technological changes and challenges. Key challenges and opportunities discussed in this paper, with corresponding corporate governance implications, included Big Data, Artificial Intelligence (AI) with Industry 4.0, AI with the Internet of Things (IoT), Deep Learning, and Neural Networks. Survival should not be the goal, but it may be the necessary first step for today’s companies. Potential winners seizing these trillion dollar opportunities will be company executives and Boards of Directors who can incorporate these technological changes into specific new business models, strategies, and practices. While the awareness on boards regarding risks originating from disruptive innovation, cyber threats and privacy risks has been increasing, Boards of Directors must equally be able to challenge executives and identify opportunities and threats for their companies. This shift for companies is not only about digital technology but also cultural. How can people be managed when digital, virtual ways of working are increasing? What do robotics and Big Data analysis mean for managing people? One way to accelerate the digital learning process has been advocated: the use of digital apprentices for boards. For example, Board Apprentice, a non-profit organization, has already placed digital apprentices on boards for a year-long period (which helps to educate both apprentices and boards) in five different countries. Additional plans and strategies are needed in this age of digitalization and lifelong learning. For example, cybersecurity risks are magnified by all these new technology trends, such as Big Data, AI, Industry 4.0, and IoT. Accordingly, the main findings of this paper are analysing the challenges and opportunities for corporate executives, Boards of Directors, and related corporate governance concerning the driving force of Big Data, Artificial Intelligence with Industry 4.0, Artificial Intelligence with the Internet of Things, Deep Learning, and Neural Networks.


2020 ◽  
pp. 207-216
Author(s):  
Sophia Roppertz

The digital transformation will lead to a reorganization of the occupational world. Educational institutions play an important role in this context, as they train the future workforce. This raises the question of how vocational schools are already responding to changes in the world of work today? Does Artificial Intelligence and automation play a role and if so, which one? These and other questions are addressed in this article based on an online survey of German vocational school teachers. The survey was conducted through the European Taccle AI project.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishtha Malik ◽  
Shalini Nath Tripathi ◽  
Arpan Kumar Kar ◽  
Shivam Gupta

PurposeThis study attempts to develop a practical understanding of the positive and negative employee experiences due to artificial intelligence (AI) adoption and the creation of technostress. It unravels the human resource development-related challenges with the onset of Industry 4.0.Design/methodology/approachSemi-structured interviews were conducted with 32 professionals with average work experience of 7.6 years and working across nine industries, and the transcripts were analyzed using NVivo.FindingsThe findings establish prominent adverse impacts of the adoption of AI, namely, information security, data privacy, drastic changes resulting from digital transformations and job risk and insecurity brewing in the employee psyche. This is followed by a hierarchy of factors comprising the positive impacts, namely, work-related flexibility and autonomy, creativity and innovation and overall enhancement in job performance. Further factors contributing to technostress (among employees): work overload, job insecurity and complexity were identified.Practical implicationsThe emerging knowledge economy and technological interventions are changing the existing job profiles, hence the need for different skillsets and technological competencies. The organizations thus need to deploy strategic manpower development measures involving up-gradation of skills and knowledge management. Inculcating requisite skills requires well-designed training programs using specialized tools and virtual reality (VR). In addition, employees need to be supported in their evolving socio-technical relationships, for managing both positive and negative outcomes.Originality/valueThis research makes the unique contribution of establishing a qualitative hierarchy of prominent factors constituting unintended consequences, positive impacts and technostress creators (among employees) of AI deployment in organizational processes.


2020 ◽  
Vol 25 (4) ◽  
pp. 14-23
Author(s):  
Ramazanov S.K. ◽  
◽  
Shevchenko A.I. ◽  
Kuptsova E.A. ◽  

The paper analysis the strategies and concepts developed in the world in modern directions: innova- tive economy, digital economy, artificial intelligence, Industry 4.0 and others. The problem is to determine the initial fundamental parameters of order and their prospects in the global world, the definition and principles of artificial intel- ligence systems (AIS), its structure and important aspects and principles of future science and technology in analysis and synthesis based on synergetic approaches, innovative, information, converged technologies, taking into account the design of future and viable and safe and sustainable development in the context of Industry 4.0, digital economy (DE) and Society 5.0. The general scheme of the integrated model of sustainable and socio-humanitarian development in the global system is proposed, which the authors call the noosphere model of sustainable and safe development as an important fundamental platform for the design and creation of AIS. In the XXI century education, science and innova- tive technologies becomes the «basis» of the spiritual and material reproduction of man, transforming the society of the XXI century into an educational society, ensures compliance with the law of advanced development of human quality, quality of social intelligence and quality of educational systems in society. noosphere evolution (Субетто, 2008). Industry 4.0 is the next stage in the digitalization of production technologies with the accelerated introduction of new developments and cyberphysical systems, which is changing business models. Accordingly, Industry 4.0 as a separate segment of digital manufacturing technologies takes its place among other digital sectors. The analysis of the Strategies and Concepts developed in the world in modern directions: innovative economy, digital economy, artificial intelli- gence, Industry 4.0 and others is carried out in the work. The problem is to determine the initial fundamental para- meters of order and their prospects in the global world, the definition and principles of artificial intelligence systems (AIS), its structure and important aspects and principles of future science and technology in analysis and synthesis ba- sed on synergetic approaches, innovative, information, converged technologies, taking into account the design of future and viable and safe and sustainable development in the context of Industry 4.0, DE and Society 5.0. The main scientific and technological factors in the 21st century will be the development of: Artificial Intelligence, Nano Technologies, Bio-Media Technologies, Cognitive Technologies and Socio-Humanitarian Technologies. More specifically – this is the modern development of Innovative Technologies: «NBIC SH». Therefore, it is necessary to note the importance of taking into account the principle of I2K2+SH, ie: Intellectualization, Integration, Convergence, Coevolution and Socio- humanitarian technologies. It is important and necessary to take into account modern principles of designing a su- stainable and secure AIS and solving the problem of Harmonization between 2 worlds: Real and Virtual, especially in their hybridization. Our immediate future is a hybrid nonlinear world. Note that digitalization, artificial intelligence (AI) and robotics will be the main drivers of global economic growth by 2030E. An important paradigm and platform is the Integrated System: for Industry 4.0, DE and AI, taking into account the complex principle of I2K2+SH. If the transition of the Ukrainian economy to an innovative one does not take place in the next 3-5 years, Ukraine will remain in the backyard of civilization.


Author(s):  
Wojciech Paprocki

Digital economy that embraces the analogue and digital world has been developing for over the last ten years. The leaders of the digital economy are commercial and public virtual platform operators. In the 3 rd decade of the 21st century, the hybrid system will be dominating in the world. The concept of “Industry 4.0” will be implemented in all regions, but analogue processes will be still popular in the industry, distribution channels and households. Robots will become popular in production and services. In the management of data, information and knowledge solutions which are supported by the narrow artificial intelligence will be utilised step by step. The goal is the creation of new wisdom. Virtual platform operators in their commercial and public activities will strengthen their position on the market in the New Space. At the same time the producers and service providers representing the Old Space will be pressed to accept dependence on virtual platform operators.


2018 ◽  
Vol 7 (4.33) ◽  
pp. 161
Author(s):  
Vici Syahril Chairani ◽  
Mochamad Bruri ◽  
Dahar Minghat

The 4.0 industrial revolution that began to be known since 2011 in Germany had a significant influence on several aspects of the world. Automation and digitilization that comes through Industrial Revolution 4.0, forecasted will brought many impact to demand and skillset of occupation and industry. Even that change is expected to have a lot of impact on Technical Vocational Education and Training (TVET). As a vocational education that has the main objective to prepare graduates to be able to work and be accepted in the industrial world. The aim of this study firstly is to provide a view of the issue about job lost due to the industrial revolution 4.0, is true or not. Secondly is to give an overview about the TVET area that have most possibility impact to be eliminated due to industry 4.0. To overcome this, this paper will explain a literature study from journal articles, opinion papers, conceptual papers, research study, etc. were analyzed for content related to Industrial Revolution 4.0 and TVET. It was concluded that (1) Occupation will be transformed by automation due to Industrial Revolution 4.0, not eliminated; (2) There is no certainty about which areas on TVET will be lost, but the areas that have the risk of being automated in TVET high school in Indonesia are administration, tourism and health.   


This research synthesizes study findings about job specifications in the era of disruption and industry 4.0. Industrial revolution 4.0 era, based on digital technology, artificial intelligence, robotics, and automation, changes the type of jobs in the workforce to keep accelerating and unpredictable. The journals studied are from 2015 to 2019. This research focuses on the problem of job specifications in the era of disruption and industry 4.0 era in Taiwan. Revolution industry 4.0 brought more significant changes to all aspects, including education. The assessment and comparison of education management in Taiwan has led to the industry 4.0. Besides analyzing the types of jobs and competencies that graduates must have in accordance with industry 4.0 demands, this research also discusses job specifications that will still exist and new competencies that must be developed in order to face industry 4.0 in Taiwan. Vocational education as an education that creates job-ready graduates, must be ready to face industry 4.0. Therefore, this research discusses the ways in how to anticipate this problem. The research method used in this research uses literature review by analyzing journals related to job specifications and industry 4.0 competence. Based on several studies that have been carried out, the types of jobs that will still survive and the types of new jobs that will exist to face industry 4.0 can be classified, as preparation for the development of vocational education.


2020 ◽  
Vol 4 (1) ◽  
pp. 40
Author(s):  
Maheswara Perbawa Sukawati

<p>Abstract: </p><p><em>Artificial Intelligence is one of the sector in Revolution Industry 4.0 that become serious topic to discuss in every countries in the world including the European Union itself. They believe that Artificial Intelligence can make the good benefit for the society, however the using of Artificial Intelligence usually make a negative impact for the society therefore the European Union made some Policy about the Artificial Intelligence to support about the Revolution Industry 4.0. The Policy about Artificial Intelligence have the purpose to regulate about using Artificial Intelligence in European Union basically for the members, everything about Artificial Intelligence have the relation with the Technology that have been develop nevertheless everything about technology, internet, computer, and data have already regulated in Convention on Cyber Crime Budapest 2001 therefore everything about Artificial Intelligence including the Policy of Artificial Intelligence in European Union have to related with the Convention on Cyber Crime.</em></p>


Author(s):  
Craig Eric Seidelson

Factories have employed automation for nearly 100 years. With the launch of Industry 4.0 in 2011, operations have expanded their use of robots on an unprecedented scale. As of 2017, there were roughly 2 million industrial robots in use globally. By 2030, it's estimated that 20 million manufacturing jobs around the world could be replaced by robots. Yet, substantial hurdles remain before predicted level of automation can be realized. On the one hand, smart factories are almost exclusively multibillion-dollar enterprises. Their costs are simply too high for most manufacturers. On the other hand, intelligent machines are limited in what they can do because so many of the engineering tasks required to support them are still being done by people. Widespread use of automation requires expanding the use of artificial intelligence to manage data, create drawings, evaluate designs, and program machines.


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