Era Of Knowledge Economy Research Articles

Evolutionary Game of Knowledge Sharing in the Advanced Manufacturing Industry

With the advent of the era of knowledge economy, knowledge resources have gradually become the core resources for industrial development. For advanced manufacturing, strengthening the knowledge sharing between enterprises has become a key factor of the industry to maintain their core competitiveness. Based on the perspective of knowledge sharing, this study constructs an evolutionary game model among advanced manufacturing enterprises and analyzes the dynamic evolution process of enterprises. The result shows that knowledge spillover effects, excess return distribution, knowledge costs, hidden income, and punishment mechanisms are the main factors influencing the choice of evolutionary strategies for knowledge sharing among enterprises. Based on the analysis results, the study gives some suggestions to encourage advanced manufacturing companies to choose knowledge sharing strategies, to promote the rapid development of advanced manufacturing.

THE IMPACT OF HUMAN CAPITAL VALUE ON HUMAN CAPITAL EFFICIENCY AND BUSINESS PERFORMANCE

In the knowledge economy era, human capital is a part of intellectual capital and a significant factor in enterprise competitiveness. The importance of human capital is often diminished due to the accounting expression of investments in human resources in the income statement as a cost (expenditure) component. This paper points to the fact that the cost of human resources is an investment that affects the growth of the business performance of an enterprise. Hence, the aim of this paper is to examine the impact of human capital value on human capital efficiency and business performance indicators, such as sales revenue (SR), earnings before interest and taxes (EBIT), and EBIT margin (EBITM). To examine this impact, empirical research is conducted on a sample of 24 companies with the highest brand value for the period 2012-2019. The regression analysis results show that sales revenue and EBIT grow by 0.77% and 1.1% respectively as human capital value grows by 1%. Additionally, findings reveal that the growth of the human capital value negatively affects the values of human capital efficiency indicators and EBIT margin in the sample of examined enterprises.

An empirical study on the impact of platform environmental factors on knowledge sharing in virtual communities

BackgroundIn the knowledge economy era, the effective acquisition and application of knowledge has become a key element for enterprises to obtain a competitive advantage. The rapid development of the Internet has spawned a large number of virtual communities, providing a convenient channel for organizations and individuals to share knowledge. However, while virtual communities provide users with knowledge-sharing channels, there is also a common phenomenon that users' participation enthusiasm is not high. The social cognitive theory emphasizes the important influence of environmental factors on the development of things. ObjectiveTo study the influencing factors of knowledge sharing from the perspective of the virtual community platform environment, which will help to improve the construction of the external environment and promote knowledge sharing in virtual community. MethodsFirstly, based on the perspective of the platform environment, put forward relevant hypotheses about the influencing factors of knowledge creation and knowledge dissemination in virtual community, then design a questionnaire and conduct research, and finally test the hypotheses by using the method of structural equation model.Conclusion: community trust, community management, community motivation, community activity and information protection all have a significant positive impact on the knowledge-sharing behavior of community users. In terms of impact, community trust has the greatest impact on users' knowledge sharing behavior, followed by community management, and community activity has the least impact. Innovation/limitationsThis paper is an empirical study on the impact of knowledge sharing in virtual communities from the perspective of platform environment. The research perspective has a certain novelty. However, the data source of this paper is based on an online questionnaire survey, and there may be some data that are not objective and accurate.

A Fuzzy Comprehensive Dynamic Evaluation Algorithm for Human Resource Quality Growth Based on Artificial Intelligence

In the 21st century, the era of knowledge economy is coming. Today, when the management concept of “people-oriented” is advocated, the value of human resources is more and more prominent, and the evaluation of the value of human resources is more and more important. From the perspective of economic development, as the only dynamic resource, the important role of human resources in creating social wealth has gained a global consensus. The rational allocation of human resources has a decisive impact on the sustainable development of social economy. Among them, Colleges and universities, as the base for the country to transmit talents, take into account the training and the gathering of talents. The core of the work is college teachers. Therefore, the quantity and quality of college teachers are not only related to the development of colleges and universities but also to the comprehensive quality and competitiveness of the country. Fuzzy comprehensive evaluation methods have different advantages and disadvantages. However, the case analysis proves that the fuzzy comprehensive evaluation method is used to judge the human resource management situation in colleges and universities. Influencing indicators is a quantifiable and predictive scientific method. Based on this, this paper proposes a fuzzy comprehensive evaluation method to evaluate the teacher resources of G College in place A. The experimental results of this paper show that due to the comprehensive effect of each element, the comprehensive evaluation of the first-level evaluation index elements of the human resource management value evaluation system of G College reaches 84%. The comprehensive evaluation of the secondary evaluation indicators of the human resource management value evaluation system reached 72%.

ADJUSTMENT OF PROFESSIONAL TALENTS' INNOVATIVE PSYCHOLOGICAL QUALITY AND EMOTIONAL STABILITY UNDER OBE MODE

ADJUSTMENT OF PROFESSIONAL TALENTS' INNOVATIVE PSYCHOLOGICAL QUALITY AND EMOTIONAL STABILITY UNDER OBE MODE

An Analysis of Knowledge Economy and Accounting Innovation

With the advent of the era of knowledge economy, the accounting environment of enterprises has also undergone great changes, and the accounting management of enterprises is facing new challenges. The rise of knowledge economy stems from the continuous development of human society, economy and science and technology. The interaction between knowledge and economy is getting stronger and stronger, which makes the economic structure change, knowledge is integrated into economic activities, and economic growth also depends on the production and dissemination of knowledge. As an important source of economic information and economic management for enterprises, accounting must be innovated with the changing environment of the times. This paper outlines the necessity of knowledge economy and accounting innovation, and analyzes the influence of knowledge economy on accounting innovation.

Innovative Mode of Human Resource Management of University Teachers Based on Intelligent Big Data Analysis

In the era of knowledge economy, the competition between countries and enterprises is increasingly manifested in the competition of talents and education system. In this article, aiming at the drawbacks of the traditional HRM model of university teachers, we design and construct a management innovation model and decision-making model based on intelligent big data analysis. This article introduces DM technology. It also introduces the related knowledge of DM and the analysis and design process of HRM decision system. In this system, DM technology is used to analyze and process the existing data, predict the future situation, and provide auxiliary support for decision-making. Through simulation, the decision-making accuracy of this model can reach 95.68%, which is about 10.02% higher than other systems. It has certain practicability and reliability. This article makes a useful attempt for the application of DM technology in HRM. The research in this article is expected to play an important decision-making reference and service support for HRM of university teachers and further promote the development of HRM innovation of university teachers.

How commercializing academic patents promote economic growth: mediating effect and spatial spill over

ABSTRACT Governmental investment in commercializing academic patents has spurred economic growth. This study explores the mechanism underlying the impact of academic patent commercialization on regional economic development based on holistic view of the integration of local and neighbourhood hierarchies. The empirical analysis of a sample of 31 Chinese provinces from 2010 to 2019 shows that fiscal expenditures on science and technology mediate the relationship between academic patent commercialization and economic development. Moreover, there is a positive spatial spill over effect between developing economies of neighbouring provinces. In the knowledge economy era, academic patent commercialization, supported by fiscal expenditure, plays an increasingly important role in regional economic growth.

How Knowledge Sharing Affects Business Model Innovation: An Empirical Study from the Perspective of Ambidextrous Organizational Learning

In the era of knowledge economy and open innovation, it is especially important for organizations to learn how to store and utilize internal and external knowledge for the sustainability of business models. The ability to innovate is a necessity for sustainable development, thus this paper starting from the internal factors driving enterprises to realize business model innovation, from perspective of ambidextrous organizational learning, takes 257 managers in enterprises as samples to empirically study the mechanism of knowledge sharing on business model innovation. The results of regression analysis and structural equation model (SEM) path analysis show that knowledge sharing affects novel and efficient business model innovation through ambidextrous organizational learning, and ambidextrous organizational learning plays a complete mediating role. Both explorative and exploitative learning have a significant positive impact on the novel and efficient business model innovation, and explorative learning has a stronger promoting effect. Therefore, in the practice of enterprise business model innovation, leaders need to establish a system that can promote the willingness of employees to share knowledge. Organizations need to pay attention to the effectiveness of explorative learning, consider the actual demand of employees as much as possible, and mobilize the initiative of employees in the learning process. Organizations also are required to pay attention to the balance between explorative learning and exploitative learning.

Value Creation in Platform Enterprises: A Fuzzy-Set Qualitative Comparative Analysis

Platform enterprises have emerged as one of the most popular business models in the era of knowledge economy. The success of platform enterprises relies on continuous value creation by constructing an efficient platform and attracting more users to participate in order to create more value for the users and by the users. This study is to explore the key factors that drive value creation in platform enterprises’ ecosystem to help better understand the management of platform enterprises as the knowledge-based entrepreneurial ventures in emerging markets. This study employs a newly emerged method—a fuzzy-set qualitative comparative analysis to empirically analyze the antecedent configurations of value creation for Chinese platform enterprises. This method extends qualitative comparative analysis by integrating fuzzy-sets and fuzzy-logic principles with qualitative comparative analysis principles, which offers a more realistic approach. This paper identifies different configurations for high and non-high levels of value creation in platform enterprises. The results show that continuous user commitment is crucial to creating positive value for Chinese platform enterprises, and active user participation and knowledge sharing as well as platform construction/improvement are the key elements that determine the platform enterprises’ value creation process. The results also demonstrate a hybrid value creation logic with efficiency and innovation in platform enterprises. This study further identifies an asymmetric causality in the Chinese platform enterprises’ value creation process that is crucial for knowledge sharing and effective management of platform enterprises. The findings can shed light on the strategic management of platform enterprises for emerging markets.

An Integrated Development Model of Cultural and Creative Industry and Rural Tourism Industry Based on Data Mining

In the later stage of industrialization or postindustrialization era, the driving force of human social and economic development mainly comes from technological innovation, cultural creativity, and the development of creative industries, high-tech industries, and service industries. The cultural and creative industries meet the needs of the postindustrial era and the era of knowledge economy. This shows the importance of culture, knowledge, and technology in the rapid economic development. This paper introduces data mining technology and obtains a data mining method system suitable for this study. It mines and analyzes data related to cultural and creative industries and rural tourism industries. It finally obtained that the degree of integration of the two industries in the past six years was 0.498, 0.496, 0.487, 0.498, 0.499, and 0.5, respectively.

Research on innovation of university leadership network management based on the concept of knowledge management

In the era of knowledge economy and network, colleges and universities are increasingly becoming a collection of real world and virtual time and space. More and more college students obtain information, learning, and educational resources through the Internet. Under the influence of the Internet world, colleges and universities are using the current situation of network management. The traditional management concept is difficult to play a management role, and management is becoming more and more difficult. It is urgent to establish a new management model that adapts to the requirements of the times, to utilize the value of human resources by expanding personnel allocation, to support the high-quality development of teaching work, and to help colleges and universities. achieve sustainable development. Starting from this demand, innovating the existing management model based on the knowledge management concept has become an effective strategy for integrating human resources and knowledge resources in colleges and universities in the new era and improving the level of comprehensive management. The core of knowledge management is the innovation of network management, which aims to provide certain scientific thinking for university management and promote the sustainable development of universities.

Academic Entrepreneurship in CALL

This concept paper aims to introduce academic entrepreneurship as a subject of particular significance in the CALL field in the knowledge economy era. The article describes why the primary CALL practitioners – faculty and students – should invest their time, skills, and resources to pursue, identify, and exploit entrepreneurial opportunities and create far-reaching technological products and services for language instruction and research. The paper advocates for creating a particular research area in which CALL researcher and academic entrepreneurs will showcase their practical uniqueness and experience in CALL academic entrepreneurship to motivate and inspire one another. The paper also advocates for the inclusion of entrepreneurship education into the CALL preparation curriculum to produce graduates with the entrepreneurial skillset that will enable them to be active participants in identifying and exploiting CALL-related entrepreneurial opportunities.

Application Research of Particle Swarm Algorithm in Bank Human Resource Management

In the era of knowledge economy, human resources as the first resource of enterprises have long become a consensus. However, human resource management in my country is still in its infancy. There are few studies on the relationship between the two, and the research conclusions are inconsistent. There are very few subjects for research. As the core of my country is banking industry, state-owned commercial banks affect the development direction of my country’s banking industry, and their human resource management has its own unique features. However, due to my country’s special national conditions, state-owned commercial banks have not been fully market-oriented, lacking a certain degree of independence and autonomy, and the impact of administrative intervention has led to human resource management in state-owned commercial banks that have not been developed as they should be. In a series of questions, in today’s turbulent global financial environment, state-owned commercial banks need to improve their human resource management to enhance their sustainable competitiveness. Based on combing the research on the relationship between human resource management and corporate performance by domestic and foreign scholars and analyzing the status quo and problems of human resource management of state-owned commercial banks, this paper collects data through questionnaires and analyzes the reliability and validity of the data. Then use empirical analysis methods to study the relationship between human resource management of state-owned commercial banks and corporate performance. The research results show that there is a significant positive correlation between the human resource management practices of state-owned commercial banks and corporate performance, that is, improving the level of human resource management can promote the improvement of corporate performance.

The Influence of Mental Health on Job Satisfaction: Mediating Effect of Psychological Capital and Social Capital.

Using data from the 2018 Chinese Family Panel Studies (CFPS), based on the mood-congruent theory, this study aims to explore the mechanisms of mental health on job satisfaction from the internal perspective (psychological capital) and external perspective (social capital). The results showed that (1) the two components of mental health have different effects on job satisfaction. The positive component of mental health had a positive effect on job satisfaction, while the negative component of mental health had a negative effect on job satisfaction; (2) Psychological capital and social capital play a mediating role in the relationship between mental health and job satisfaction. (3) After considering the potential endogenous problems between mental health and job satisfaction and conducting additional robustness analysis, including changing dependent variable and changing independent variable, our main results and influence mechanisms are remain robust and reliable. With the emergence of an increasingly competitive knowledge economy era, employees' mental health plays an important role in job satisfaction. Thus, it is imperative for managers to enhance employees' job satisfaction and better implement humanistic management by nurturing employees' psychological and social capital through the mental health.

HUMAN RESOURCE FLEXIBILITY AND ORGANIZATIONAL PERFORMANCE: AN EVIDENCE OF SELECTED MANUFACTURING FIRMS IN SOUTHEAST, NIGERIA

With increased competition in this era of globalization and knowledge economy, the role of human resources flexibility in promoting organization performance has become important for the survival and sustainable growth of the organization in both developed and developing countries, Hence contemporary workplace demands more energy, talent and multi skills with specialized aptitudes in order to succeed and survive in the face of multiple challenges created by global business. Thus the study focuses on human resource flexibility and organizational performance: an evidence of selected manufacturing firms in southeast, Nigeria .The study sought to determine the extent to which numerical flexibility influences organizational performance, ascertain the extent of the relationship between pay flexibility and organizational performance and to determine the effect of functional flexibility on organizational performance. The population size is3168 in which a sample size of 339 was realised using Taro Yamane’s formula at 5% error tolerance and 95% level of confidence. Instrument used for data collection were primarily questionnaire. Cronbach’s Alpha was used to determine the reliability of the instrument in which the value of 0.880 was obtained indicating that the instrument was reliable. Out of 399 copies of the questionnaire that were distributed, 375 copies were returned while 24 were not returned. The survey research design was adopted for the study. The hypotheses were tested using Pearson product moment correlation coefficient and simple linear regression statistical tools. The findings indicate that numerical flexibility significantly influence organizational performance (r = 0.861; F= 1069.377; t = 32.701; p <0.05). While, hypothesis two states that there is a significant positive relationship between pay flexibility and organizational performance. (r =.891, P<.05). Similarly; hypothesis three revealed that functional flexibility has significant effect on organizational performance (r = 0.828; F = 813.054; t = 28.514; p< 0.05). The study concluded that human Resource flexibility is instrumental in fostering the capacity of firms to be responsive to changes in market demands. Thus, manufacturing firms should adopt functional flexibility to adjust to the changes in the demand of their output.

Construction of innovation model of higher education system: essence, criterion and strategy

The higher education system shows that there are complex relationships in the higher education system, organizational behaviour of colleges and universities rules and regulations and so on. In the era of knowledge economy, the wave of big data has swept various fields of life. It has not only brought a large amount of information and advanced modern technology, but also imperceptibly affected students' psychological changes and interests. Facing this situation, in order to realize the steady development of higher education, the institutional innovation of higher education is imperative. Focusing on the relevance between the innovation of higher education system and the development of higher education. This paper discusses the essential attributes of the higher education system of socialism with Chinese characteristics, the important guidelines and specific strategies for the construction of the innovation model of higher education system, in order to provide more feasible and operable solutions.

Construction and analysis of leadership characteristic model based on deep learning in the process of knowledge management

Knowledge-based economy, globalization, scientific and technological development and social changes are constantly changing the business environment. With the rapid formation of the knowledge-based economy era with knowledge as its capital and distribution basis all over the world, knowledge-based enterprises are becoming the main body of the globalized knowledge-based economy. Therefore, leadership has become one of the top ten management concepts that will influence the future development of enterprises in China and even the world. However, according to the investigation and research, the leadership level of Chinese enterprises needs to be further improved. In the 21st century, enterprises are faced with a series of changes in ideology, organization, culture and human resources. In the era of knowledge economy, all kinds of new thinking, new methods, new cultures and new creations are everywhere, which affect the development of enterprises. Based on the process of knowledge management, this paper analyzes the construction of leadership characteristic model. It shows different leadership characteristics in different stages of knowledge management. It is expected to help enterprises pay attention to the performance of leadership characteristics in each stage of knowledge management, and promote the process of knowledge management by promoting leadership development strategies.

Literature review of intellectual capital information disclosure

In today's era of knowledge economy, more and more scholars pay attention to the research related to intellectual capital. This paper combed the domestic and foreign research results on an important branch of intellectual capital - intellectual capital information disclosure. From intellectual capital composition, the theoretical foundation of the intellectual capital information disclosure and its related influence factors to comb research venation, and put forward the future research direction of intellectual capital information disclosure.

Construction of College Students' Employment Quality Evaluation Model System under the Background of Digitalization.

In the era of knowledge economy, human resources are being valued by various countries and regions. The report of the 19th National Congress of the Communist Party of China pointed out that “talent is a strategic resource for realizing national rejuvenation and winning the initiative of international competition. We must adhere to the principle of the party's management of talents, gather talents from all over the world and use them, and accelerate the construction of a strong country with talents.” College students are an important part of talents, and their employment intentions directly affect employment behavior. With the development of education in our country, the enrollment quota of most colleges and universities in the country has gradually increased, and the number of graduates has also increased. Social and economic development has different needs for different professional and technical personnel, and the employment situation in different regions is uneven. Under the increasingly complex employment environment, college students have to face greater employment pressure and compete with each other in a narrower employment field. Therefore, it is necessary to conduct better employment guidance and employment quality evaluation for college students. Based on the improved algorithm of BP network, an artificial intelligence-based employment quality evaluation model is constructed. The design model is optimized by introducing a momentum variable factor, adjusting the learning rate and quasi-Newton method, and training and recommending each optimization model through the training data. The experimental results show that the iterations of the gradient descent algorithm and the additional momentum optimization algorithm are far more than 1000 times. Second, the optimal validation errors of the two algorithms are large and the model performance is poor. The quasi-Newton ring algorithm also has faster coordination speed, stronger stability, and better overall performance. The adaptive learning rate optimization algorithm is performed in these 4 algorithms. In terms of accuracy, the accuracy of the adaptive learning rate BP optimization algorithm is 76.4%, followed by the Newton algorithm and the additional momentum algorithm, and the gradient descent algorithm is the worst.