Intellectual and Knowledge Investment and its Role in Achieving Sustainable Development of Natural Resources: A Study Applied to the Iraqi Oil Ministry

An intellectual capital and knowledge is one of the basic and very important resources for modern organizations in light of the knowledge economy. It is another form of capital recognized in the new economy. The intellectual and cognitive capital consists of the basic components represented by the experiences, skills, knowledge and capabilities that individuals working within organizations possess, which have a clear and profound effect on determining the success of the organizations from their failure. The results showed that there are strong correlations between the independent variable with its dimensions represented by intellectual capital and knowledge capital and between the dependent variable represented in investment in natural resources, as well as there is a strong relationship between the independent variable with its dimensions represented by intellectual capital and knowledge capital and between the dependent variable represented in investment in resources. Accordingly, a set of recommendations were presented that can contribute to improving the level of investment. Its role in achieving the best investments for the natural resources is found underground through the interest in the human resource, which is one of the most important reasons for the success of organizations and the first element in achieving the well-being of society, as the more the human resource He has the knowledge, skill and ability to optimally utilize natural resources whenever this is one of the most important factors for the success of organizations. In addition, organizations today have to pay attention and benefit from the intellectual and knowledge capital, especially in developing countries. The necessary requirements must also be provided

Has the Digital Economy Changed the Urban Network Structure in China?—Based on the Analysis of China’s Top 500 New Economy Enterprises in 2020

The rapid development of the new generation of information technology makes digital enterprises and the digital economy important forces in promoting the sustainable growth of the world economy. Under the influence of the digital economy, the original urban network may undergo drastic changes. There have been studies that have arrived at conflicting conclusions. This paper primarily illustrates whether or not the digital economy has changed the urban network structure. China's digital economy is developing rapidly, becoming a new engine for the high-quality development of the Chinese economy. Therefore, this paper demonstrates the impact of China's digital economy on the urban network structure by using data from China's Top 500 New Economy Enterprises in 2020 and the headquarter–subsidiary ownership method. The results show that 1) China's urban network has changed significantly. Compared with APS enterprises and listed companies, the urban network of the digital economy has become more polarized, and Beijing has become the absolute control center. 2) Chinese cities have been reshuffled in the era of the digital economy. Beijing, Hangzhou, and Chengdu, with their industrial foundations in the digital economy, have performed better within the network. Simultaneously, some heavily industrialized cities, such as Wuhan, Shenyang, and Chongqing, have been declining due to the difficulties associated with transformation. 3) Although the digital economy has reshaped China's urban network structure to a certain extent, the original urban pattern still plays a dominant role in the new system. The network spatial pattern of dense east and sparse west still exists, and provincial capitals and subprovincial cities still play a more significant role in the network than ordinary cities. 4) Network diffusion is typically a hierarchical diffusion between core nodes. Geographical proximity has a low constraint on network diffusion, and subsidiaries expand outward through hierarchical diffusion.

INTELLIGENT COMPONENT OF CONVERGENT TECHNOLOGIES OF POSTINDUSTRIAL ECONOMY

The analysis of studies on the problem of the formation of a new economy with the use of convergent (NBIC) technologies is carried out. The prevalence of overestimated expectations from the use of technologies of the 5th and 6th modes in the developed spheres of social systems activity was established, while ignoring or underestimating the possible negative consequences of their implementation. The necessity of implementing the concept of intellectual support in the activities of economic and social systems, including the components of predetermination, validity, permanence, adequacy, which form the prerequisites for the purposeful creation of intelligent products of a given functional purpose for all stages of the life cycle of innovative products, is shown.

Construction and Analysis of Intelligent English Teaching Model Assisted by Personalized Virtual Corpus by Big Data Analysis

At present, a new round of scientific and technological revolution and industrial transformation with information technology at its core are accelerating. At present, a new round of scientific and technological revolution and industrial transformation with information technology at its core is accelerating. The challenge of new economy and new industry has put forward new requirements for the training of talents in China. The challenges of new economy and new industry have put forward new requirements for the cultivation of engineering talents in China. Based on corpus, this study constructed a model of intelligent English teaching assisted by virtual corpus. The traditional teaching of college English reading is based on, around, and for texts. Using DDL model, teachers can break the limitation of textbooks. On the basis of analyzing the general idea of the text, they can search out massive real corpus related to the general idea of the text by searching the core words in the text, so as to provide extensive reading resources for students in the maximum range. At the same time, teachers can rely on the corpus to design different types of teaching activities, realize student-centered task-based, inquiry-based, and autonomous learning and cultivate students’ critical thinking ability, practical ability, and cross-cultural communication ability. This model breaks the limitation of “classroom + textbook,” realizes student-centered task-based, exploratory, and autonomous learning, trains interdisciplinary new engineering talents needed by emerging industries and new economy in the future, and promotes the sustainable development of English teaching. Corpus-data-driven college English teaching mode breaks the limitation of “classroom + textbook,” changes the traditional college English teaching mode, and realizes student-centered task-oriented, inquiry-based, and autonomous learning.