scholarly journals Theory and methodology of organizing the system of science and education in 4.0 format based on human and artificial intellectual capital

2020 ◽  
pp. 5529-5535
Author(s):  
Konstantin Victorovich Vodenko ◽  
Keyword(s):  
Intellectual Capital ◽  
Science And Education

Digital risks as divers of development of modern science and education

2020 ◽  
pp. 55-68
Author(s):  
Natalia Aleksandrovna Kazakova
Keyword(s):  
Intellectual Capital ◽  
Big Data Analytics ◽  
Computer Software ◽  
Modern Science ◽  
Economic Education ◽  
International Strategy ◽  
Economic Science ◽  
Global Trends ◽  
Science And Education ◽  
Digital Transactions

The international strategy for the development of competitive advantages based on digitalization has not only become a powerful driver of socio-economic and technological spheres, including science and education, but also created new, digital risks that require their identification, assessment and countermeasures. The study is aimed at assessing the digitalization trends of the Russian economy in comparison with global trends, identifying digital risks and directions for the development of economic education and science. The analysis showed that the highest level of digitalization is observed in the public and financial sectors, it is also noted in some industries, which is associated with robotization and the introduction of integrated platforms. The digital environment develops methods of accounting, analysis, diagnostics and control, changing the priorities and vector of assessing business efficiency, primarily for companies associated with the creation of databases, information resources, computer software, information processing, the key capital of which is intellectual capital (digital , human, reputational). To date, the methods of business analysis of companies in the IT sector are practically not developed by economic science, and there are no officially recognized ones yet. It is clear that the information base for such analysis should be much wider than the traditionally used one, including big data analytics. At the same time, one should pay attention to the fact that the analysis of the transparency of the activities of the IT sector companies indicates their informational secrecy. Thus, the article examines digital risks caused by the growth of digital transactions in economic transactions, an increase in the share of digital assets and intellectual capital, a change in key indicators for assessing the effectiveness of companies in the digital economy, as well as the transformation of economic professions and the increased requirements of employers for the professional competencies of personnel. In this aspect, points of potential demand for information and analytical competencies and professional values have been identified, which serve as a navigator of the development processes of modern economic education and science.

Science and education in the form 4.0: public policy and organization based on human and artificial intellectual capital

2020 ◽  
Vol 21 (4) ◽  
pp. 549-564
Author(s):  
Konstantin V. Vodenko ◽  
Svetlana A. Lyausheva
Keyword(s):  
Intellectual Capital ◽  
Design Methodology ◽  
Digital Technologies ◽  
Production Factor ◽  
Practical Implementation ◽  
Content Type ◽  
Computer Equipment ◽  
Science And Education ◽  
Human Intellect

PurposeThe purpose of the paper is to develop a concept of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital.Design/methodology/approachThe methods of regression and correlation analysis are used. The role of human and artificial intellectual capital for provision of effectiveness and competitiveness of the system of science and education is determined, as well as its correspondence to the modern challenges. Analysis of perspectives and limitations of automatization of the system of science and education based on AI is conducted; a model of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital is compiled.FindingsIt is established that in the system of science and education, the decisive production factor is intellectual capital, but human intellect does not necessarily have to dominate in its structure. AI is one of the most popular technologies of Industry 4.0 in the system of science and education, which has wide perspectives of practical implementation. As experience of the leading world universities, which had the highest level of digitization in 2018, showed, foundation on non-breakthrough digital technologies (computer equipment and Internet) does not allow opening the potential of increase of indicators of effectiveness and competitiveness of the system of science and education and bringing it in correspondence to the modern challenges based on digitization. However, correlation of activity of application of artificial intellectual capital with these indicators is four times higher (0.2), as compared to correlation of these indicators with activity of application of human intellectual capital (0.05). This shows demand for digitization of the system of science and education, but based on breakthrough digital technologies, of which AI should become the key one.Originality/valueIt is substantiated that higher education could be automatized based on AI by 85% and science by 63%. Therefore, on the whole in the system of science and education, the share of AI in the structure of intellectual capital could reach 74% ((85 + 63)/2). It is recommended to use the developed model of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital.

An exploratory study of intangibles risk disclosure in annual reports of banking companies from the UK, US, Germany and Italy - Some descriptive insights

2013 ◽  
pp. 81-120 ◽  
Author(s):  
Susanne Durst
Keyword(s):  
Intellectual Capital ◽  
Exploratory Study ◽  
The United States ◽  
Annual Reports ◽  
Risk Disclosure ◽  
Related Risk ◽  
Potential Benefits ◽  
Report Data ◽  
Key Drivers ◽  
The Uk

Intangibles are viewed as the key drivers in most industries, and current research shows that firms voluntarily disclose information about their investments in intangibles and their potential benefits. Yet little is known of the risks relating to such resources and the disclosures firms make about such risks. In order to obtain a more balanced and complete picture of firms' activities, information about the risky side of their intangibles is also needed. This exploratory study provides some descriptive insights into intangibles-related risk disclosure in a sample of 16 large banks from the United States (US), United Kingdom (UK), Germany and Italy. Annual report data is analyzed using the three Intellectual Capital dimensions. Study findings illustrate the variety of intangibles-related risk disclosure as demonstrated by the banks involved.

Pengaruh Intellectual Capital, Earning per share, dan Leverage terhadap Nilai Perusahaan Food and Beverage di Bursa Efek Indonesia

Owner ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 257
Author(s):  
Meltry Anggita Sihombing ◽  
Debora Natalia Hutagalung ◽  
Noviana Siska ◽  
D. Sakuntala
Keyword(s):  
Intellectual Capital ◽  
Purposive Sampling ◽  
Food And Beverage

Penelitian ini bertujuan untuk menguji dan menganalisis pengaruh Intellectual Capital, Earning Pershare, dan Leverage terhadap Nilai Perusahaan Food and Beverage yang terdaftar di Bursa Efek Indonesia periode 2013-2018. Populasi dalam penelitian ini adalah seluruh perusahaan Food and Beverage yang terdaftar di Bursa Efek Indonesia yang berjumlah 26 perusahaan dengan sampel berjumlah 11 perusahaan dengan periode 2013-2018 selama 6 Tahun serta menggunakan teknik pengambilan sampel yaitu Purposive Sampling. Metode analisis yang digunakan dalam metode penelitian ini adalah metode regresi linier berganda. Jenis penelitian adalah statistik deskriptif dan sifat penelitiannya adalah Explannatory. Hasil penelitian ini menunjukkan secara Simultan (F) Intellectual Capital¸ Earning PerShare, dan Leverage berpengaruh dan signifikan terhadap nilai perusahaan Food and Beverage yang Secara Parsial(T) Intellectual Capital dan Earning PerShare tidak berpengaruh dan signifikan terhadap Nilai Perusahaan. Sementara, Leverage berpengaruh dan signifikan terhadap Nilai Perusahaan Food and Beverage.

Methodological Proposal Focused on the Intangible Resources Diagnosis of Intellectual Capital for Tourism Destination

2018 ◽  
Vol 9 (8) ◽  
pp. 739-748
Author(s):  
Quadrini Fabiana Andrea ◽  
◽  
Abraham Cynthia Anahi
Keyword(s):  
Project Management ◽  
Intellectual Capital ◽  
Research Team ◽  
Innovative Activity ◽  
Positive Relation ◽  
Tourism Destination ◽  
Research Project ◽  
Intangible Resources

The purpose of this paper is to develop and deepen one of the research lines that since 2010 the research team has been working on. It is related to one of the objectives set forth in the schedule of the research project “Management of the intellectual capital and innovation for tourism destination: a way to boost sector competitiveness”, which is being developed. The aim is to design and present a method that let make a diagnosis of intangible resources of intellectual capital for tourism destination and show its positive relation with innovative activity.

IC & OI The impact of intellectual capital on organizational innovation

2020 ◽  
Vol 6 (7) ◽  
pp. 1257-1265
Author(s):  
Fouad El-Gamal
Keyword(s):  
Intellectual Capital ◽  
Middle Managers ◽  
Organizational Innovation ◽  
Sustainable Competitive Advantage ◽  
Dominant Dimension ◽  
Structural Capital ◽  
Corporate Innovation ◽  
Research Findings ◽  
The Impact ◽  
Depth Interviews

Intellectual capital can generate value for organizations and improve organizational innovation. This study aims to investigate the effects of intellectual capital on corporate innovation. Mixed research methodology approach has been used by combining both qualitative and quantitative analysis to explore and empirical examine the research model. The targeted population of interest is the licensed pharmaceutical manufactures, 90 organizations in the Egyptian pharmaceutical industry throughout its three main sectors (11 public, 70 local private and 9 MNCs). Statistical analyses are employed based on the questionnaires gathered from 39 pharmaceutical manufactures’ companies (44% response rate). In addition, sixty-three “63” in depth interviews have been conducted with both top and middle managers. The research findings indicate that all dimensions of intellectual capital (human, structural, and relational capital) have positive significant effects on organizational innovation of pharmaceutical manufactures’ companies. The study clarifies that the most dominant dimension is structural capital, which provides the largest and strongest support to pharmaceutical manufactures’ companies. The deep realization of the importance intellectual capital and its impact on innovation helps leaders to adopt accurate system to run organizational innovation in a better way, which lead to sustainable competitive advantage for organizations.

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