Journal articles on the topic 'Capitale intelligente'
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1
Ivan, M.P. Brata and Nur Wening. "HUMAN CAPITAL SEBAGAI BAGIAN DARI INTELLIGENT CAPITAL DALAM DAYA SAING PERUSAHAAN." Jurnal Publikasi Ekonomi dan Akuntansi 3, no. 3 (May 16, 2023): 279–95. http://dx.doi.org/10.51903/jupea.v3i3.1189.
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Human Capital as a part of Intelligent Capital in Company Competitiveness. Every single company’s final goal is to make a profit business. Company market competitiveness is a manifestation of its both performance and quality. The competition demands a well – arranged company resources and capitals include its Intelligent Capital which contain Human Capital. A good Intelligent Capitaled Company indicates by its competent Human Capital, to make sure the company are qualified and well performed enough to be a strong competitor in the market.
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Maune, Alexander. "Human capital intelligence and economic development." Problems and Perspectives in Management 14, no. 3 (September 27, 2016): 564–74. http://dx.doi.org/10.21511/ppm.14(3-2).2016.13.
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This article explored human capital intelligence and economic development in Zimbabwe with some examples adopted from Israel and many other countries. A qualitative-exploratory literature review methodology was used for the purpose of this study because of its suitability. The primary concern of the author was to have and provide an in-depth analysis and understanding of the multiple realities and truths pertaining to human capital intelligence and economic development in Zimbabwe. An inductive approach was adopted for the purpose of this study. The findings of this article will make it possible to generalise the role of human capital intelligence towards economic development of a country and to develop some valuable propositions for future studies. The findings showed that human capital intelligence plays a critical role in economic development, through laying a foundation for economic development, attracting foreign direct investment, personal remittances, as well as attracting venture capitalists. Empirical evidence from countries such as Israel shows the criticality of human capital intelligence development to economic development of a nation. This article will assist business managers, societal leaders, policymakers, as well as governments to understand the criticality of human capital intelligence towards the development of a company, society and nation at large. This article has, therefore, academic, societal and business value. Keywords: Zimbabwe, economic development, human capital, intelligence, intellectual capital. JEL Classification: O1, J41, O34
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Xiao, Jianhua, Liu Cao, and Lufang Zhang. "OIQ or OEQ, which matters more: evidence from China." Journal of Organizational Change Management 31, no. 2 (April 9, 2018): 252–67. http://dx.doi.org/10.1108/jocm-10-2016-0223.
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Purpose The purpose of this paper is to compare the contribution of organizational intelligence quotient (OIQ) and organizational emotional quotient (OEQ) for intelligent organizations. Design/methodology/approach This paper develops a framework of OIQ and OEQ, based on the structure of intellectual capital (intellectual capital). Then, a specific questionnaire is designed and sent to ten national research institutes in China. Data from nine of them are analyzed as case study samples. Findings Data show that intelligent organizations are related with high OIQ as well as high OEQ. In the case of average-intelligent organizations, even if around high-IQ employees, “collective stupidity” caused by the failure of synergy of structural capital is the major gap to be a smart organization, just like a football team grouped by brilliant players always loses due to the dearth of coordination. OEQ, or the synergy between structural capital and human capital, is the critical point to avoid collective stupidity for organizations with intelligent employees. Research limitations/implications Research results are based on case study in a particular country. Measurement tools for OIQ and OEQ are in bound of the IC concept. Practical implications The paper helps organizations to find out the critical problems causing collective stupidity in a changing environment. Originality/value Analogic to human beings’ intelligence, this paper develops a frame of OIQ and OEQ, and compares their contribution to intelligent organization building in a changing environment.
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He, Yiqing, Siping Guo, and Ruitong Guo. "Health Effects of Social Capital and Psychological Capital Based on Data Simulation Model." Wireless Communications and Mobile Computing 2022 (April 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/9632583.
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In order to improve the intelligence of the analysis of the health effects of social capital and psychological capital, this paper combines the data simulation model for data processing and makes a detailed analysis of the cloud model-related theories from the aspects of concept, digital characteristics, normal cloud, cloud generator, and so on. Moreover, this paper uses the cloud model to make a fuzzy data classification method, including the identification of knowledge features, the construction of fuzzy cloud model, the calculation of data attribution to the constructed cloud model, and the classification of knowledge and data. In addition, this paper verifies the health effect model of social capital and psychological capital based on the data simulation model proposed in this paper through experiments. The research results show that the intelligent model proposed in this paper has a good effect in the intelligent analysis of the health effects of social capital and psychological capital.
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Pajević, Maid. "INTELLIGENCE CAPITAL." Journal Human Research in Rehabilitation 2, no. 2 (August 2011): 9–17. http://dx.doi.org/10.21554/hrr.081104.
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The author of this article presents a new theoretical concept of intelligence capital, with which he explains the multi-meaningful term ‘intelligence’. The author offers a conceptual frame „intelligence capital“ as a generic complex consisting of four interactively linked elements. The contribution of this article is, among other things, an answer to a question: What is an applicative value of intelligence capital as a new theoretical concept for the system of security and intelligence of BiH? Historical context implies greater responsibility of OSA BiH in realising its preventive function of protecting security of BiH and its citizens. Theoretical frame of the intelligence capital implies that the system of security and intelligence of BiH should be able to respond to strategic questions: to know-what, to know – why, to know – how, to know – who.
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Cao, Guangmei, Yuesen Wang, Honghu Gao, Hao Liu, Haibin Liu, Zhigang Song, and Yuqing Fan. "Coordination Decision-Making for Intelligent Transformation of Logistics Services under Capital Constraint." Sustainability 15, no. 6 (March 18, 2023): 5421. http://dx.doi.org/10.3390/su15065421.
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The intelligent transformation of logistics plays a significant role in meeting the diverse needs of customers, improving operational efficiency, and reducing carbon emissions in logistics activities. Therefore, to achieve sustainable development, logistics enterprises need to face the decision-making problem of intelligent logistics transformation. In this paper, we construct a Stackelberg game model between a financially constrained logistics-service provider (LSP) and a well-funded logistics-service integrator (LSI) and discuss the impact of the wholesale price contract, the cost-sharing contract, the revenue-sharing contract, the two-part tariff contract, and the hybrid cost-sharing and revenue-sharing contract on the intelligence level of logistics services, the profits of supply-chain members, and the channel for logistics-service demand. We found that the cost-sharing contract and the revenue-sharing contract cannot achieve Pareto improvement in the profits of supply-chain members. In addition, the increase in bank-loan interest rates would seriously weaken the level of intelligence and market demand for the entire logistics service. However, when consumers do not have high requirements for the intelligence of logistics services, the two-part power–price contract can create a win–win situation for supply-chain members and increase market demand within a certain range; on the contrary, a hybrid contract of cost sharing and revenue sharing is the best choice. Moreover, in the process of contract design for the intelligent transformation of logistics services, it is necessary to pay attention to the influence of the price-sensitivity coefficient on decision-making.
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Qin, Zeyu, Qi Lu, and Zhenjiu Yao. "The Impact of R&D Investment and Policy Support on Intelligent Manufacturing Level: Based on the fsQCA Method." Mathematical Problems in Engineering 2023 (February 21, 2023): 1–11. http://dx.doi.org/10.1155/2023/4265155.
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Intelligent manufacturing is the main direction of manufacturing transformation and upgrading in developing countries. However, the issue of how to systematically improve the level of intelligent manufacturing in enterprises has not been effectively solved. The analyses in this study are based on data collected from a sample of 45 manufacturing companies in China from 2016 to 2018, and fuzzy set qualitative comparative analysis (fsQCA) was used to explore the impact of R&D, policy support, and enterprise characteristics on the level of intelligent manufacturing. The results find that three modes and four configurations for enterprises achieve high-level intelligent manufacturing. Specifically, firstly, enterprises with larger scale and better benefits can achieve high-level intelligent manufacturing with less R&D investment. Secondly, large enterprises with a high leverage ratio and high R&D capital investment can sacrifice short-term profitability and complete intelligent transformation through lower human capital investment. With the help of policy support, we maintain a high human capital investment and accelerate the completion of the intelligent upgrade. Thirdly, small companies can use higher R&D human capital investment to achieve the goal of intelligence. These findings provide valuable insights for enterprises to effectively achieve intelligent transformation.
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Wang, Qiong, Chengxuan Geng, Hai-tao E., and Jiarui Song. "Research on capital allocation efficiencies with four-dimensional factor capitals from China’s intelligent manufacturing enterprises." PLOS ONE 17, no. 7 (July 21, 2022): e0270588. http://dx.doi.org/10.1371/journal.pone.0270588.
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Compared with traditional manufacturing enterprises, intelligent manufacturing enterprises pay more attention to the investment of knowledge capital and technological capital. Taking 258 intelligent manufacturing listed companies in China from 2015 to 2020 as research samples, the paper selects the material capital, human capital, knowledge capital and technological capital of enterprises as the input variables of Cobb-Douglas production function. Considering that enterprises are often affected by spatial correlation, stochastic frontier panel model, spatial lag stochastic frontier panel model and dynamic spatial lag stochastic frontier panel model are constructed to measure capital allocation efficiencies of enterprises. The results show that all the factor capitals in the three models have a significant positive impact on enterprises’ performance, and the dual lag effect of time and space is significant. Moreover, it is more reasonable to use the dynamic spatial lag stochastic frontier panel model to estimate the parameters and measure capital allocation efficiencies. The development of intelligent manufacturing industry has significant space-time spillover effect among provinces. About 52.98% of intelligent manufacturing enterprises have high capital allocation efficiencies, but 12.04% still need to further optimize capital allocation. The gap between the actual performance of the sample enterprises and efficiency frontier is mainly due to technical ineffectiveness. From a regional perspective, the top ten enterprises with high capital allocation efficiencies are all in the eastern region, but the average of capital allocation efficiency is the highest in the western region, followed by the eastern and central regions.
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Yuniana Cahyaningrum. "Optimization of Information Technology Through Intelligent System Integration : Comprehensive Exploration." Journal of Intelligent Systems and Information Technology 1, no. 1 (January 29, 2024): 1–5. http://dx.doi.org/10.61971/jisit.v1i1.25.
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In the era of digital transformation, intelligent system integration is the main capital for optimizing the use of information technology. This article provides a comprehensive exploration to explore how intelligent system integration forms a strong foundation for changing the outlook of information technology. The main focus of this article is utilization in operational efficiency, smarter decision making, and product and service innovation. The basic concept of intelligent system integration is explained by providing an explanation of how artificial intelligence and information technology can interact synergistically. This article also discusses the role of artificial intelligence in improving the functionality of information systems and its positive impact on decision making. The benefits of intelligent system integration in increasing operational efficiency can be explained through the automation of tasks performed, increased productivity through faster data processing, and reduced human errors. This article also shows how intelligent system integration supports better decision making through in-depth and accurate data analysis. Additionally, this article discusses how intelligent system integration drives innovation in products and services. As input for future development, this article provides an in-depth overview of intelligent system integration trends that contribute to the optimization of information technology, by opening the door to an era of innovation and greater efficiency.
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Dissanayake, Karshika J. W., and P. G. R. B. Chandrasekara. "Impact of Psychological Capital and Emotional Intelligence on the Job Performance; Reference to Higher Education Institutes in Sri Lanka." International Journal of Research and Scientific Innovation X, no. IX (2023): 122–31. http://dx.doi.org/10.51244/ijrsi.2023.10913.
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Psychological capital and emotional intelligence have been identified as a new approach to increase employee performance despite the fact that there are various factors that lead to the performance of the academic staff, which fulfills a very high national mission by producing educated and intelligent young generations who need to develop to protect the future of the country. Later, researchers found that it can change the way employees feel about their jobs. So, the researcher decided to investigate the impact of psychological capital and emotional intelligence on job performance in higher education institutions in Sri Lanka as this aspect has not been examined in the Sri Lankan context. The question investigated in this study is the effect of psychological capital and emotional intelligence on job performance in higher education institutions in Sri Lanka. It is the primary objective of this study. As a specific objectives of the study were developed on the four variables of the Psychological Capital and four variable of emotional intelligence construct. In summary, the researcher found that there is a positive effect of psychological capital and emotional intelligence on job performance. Finally, the study gives some recommendations for improving job performance by increasing psychological capital and emotional intelligence. Although psychological capital is a novel idea for many Vietnamese managers, they see it as a resource that can assist people improve their job performance (NGO, 2021). Understanding psychological capital, developing a questionnaire to measure its level based on work characteristics, business industries, conducting annual evaluations, and convening short-term psychological training courses for employees are some managerial initiatives. Furthermore, in order to improve employees’ job performance, managers should implement two-way internal communication activities that successfully match employees’ requirements, work goals, and assigned tasks at the personal level. Employee selection and promotion decisions can benefit from psychological capital and emotional intelligence. That is, management should prioritize self-efficacy, power contracts, and high levels of self-efficacy among those who can pay. Assist these employees in performing effectively in the workplace, they will be less likely to participate in risky behavior. During the hiring/promotion process, a psychological development status assessment might be conducted.
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Luo, Yanni. "Design and research of financial intelligent cooperation system under financial sharing mode." Advances in Economics and Management Research 3, no. 1 (November 8, 2022): 12. http://dx.doi.org/10.56028/aemr.3.1.12.
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Financial Shared services as one of the most common intelligent era enterprise group financial management and enterprise management form, the earliest scattered in various areas and individual entities in the accounting business, on the one hand to keep accounts and the consistency of the report, on the other hand can effectively reduce the system cost, therefore belongs to the enterprise to improve efficiency and reduce the capital of the important management means. Under the development trend of modern enterprise intelligence, establish and promote the financial sharing service mode, start to guide the financial to share the form of transformation, so as to build a new financial management mode. On the basis of understanding the development trend of enterprise financial intelligence, according to the construction significance of financial sharing mode, this paper deeply discusses how to build the application of intelligent financial cooperation system, and puts forward the corresponding intelligent management measures, so as to create a high-quality operating environment for enterprise financial management.
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Liu, Yuning, and Junliang Wang. "Analysis of Financial Market using Generative Artificial Intelligence." Academic Journal of Science and Technology 11, no. 1 (May 21, 2024): 21–25. http://dx.doi.org/10.54097/y17mrj84.
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This paper delves into the utilization of Generative Artificial Intelligence (GAI) for virtual financial advising and analysis in capital markets. Initially, it outlines the fundamental principles of GAI and its significance in financial decision-making. Subsequently, it scrutinizes the shortcomings of conventional financial advisory models through a review of literature and empirical data. It then examines the emerging trends and benefits of intelligent financial advising, contrasting them with traditional models. Following this, it elucidates the practical applications of generative AI in finance, encompassing intelligent investment guidance, risk evaluation, and decision-making.
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CANAVAN, GERRY. "Capital as Artificial Intelligence." Journal of American Studies 49, no. 4 (October 7, 2015): 685–709. http://dx.doi.org/10.1017/s002187581500167x.
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This article examines science-fictional allegorizations of Soviet-style planned economies, financial markets, autonomous trading algorithms, and global capitalism writ large as nonhuman artificial intelligences, focussing primarily on American science fiction of the Cold War period. Key fictional texts discussed include Star Trek, Isaac Asimov's Machine stories, Terminator, Kurt Vonnegut's Player Piano (1952), Charles Stross's Accelerando (2005), and the short stories of Philip K. Dick. The final section of the article discusses Kim Stanley Robinson's novel 2312 (2012) within the contemporary political context of accelerationist anticapitalism, whose advocates propose working with “the machines” rather than against them.
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Thi Thu Huong Dinh, Thi Thu Huong Dinh, Thai Thuy Lam Ha Thi Thu Huong Dinh, and Hongjuan Yang Thai Thuy Lam Ha. "Predicting Credit Accessibility Based on Social Capital and Artificial Intelligence." 電腦學刊 33, no. 5 (October 2022): 039–47. http://dx.doi.org/10.53106/199115992022103305004.
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<p>Social capital is a significant factor that determines the success of a business, company or individual. The paper presents a new method to predict the aquaculture household’s ability to access to credit, based on social capital and artificial intelligence. Social capital data is collected through surveys of aquaculture households, and then replying on artificial intelligence algorithms to build predictive models. The prediction results show that our proposed method can accurately predict households accessing the formal credit market. This is the basis for the planning and development of aquaculture in potential areas. </p> <p> </p>
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Wang, Zhengxin, Minghuan Shou, Shuai Wang, Ruinan Dai, and Keqian Wang. "An Empirical Study on the Key Factors of Intelligent Upgrade of Small and Medium-sized Enterprises in China." Sustainability 11, no. 3 (January 24, 2019): 619. http://dx.doi.org/10.3390/su11030619.
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Promoting the intelligent upgrades of small and medium-sized enterprises is one of the important tasks of implementing “Made in China 2025” in China. As a front runner of nation-level reform, Zhejiang Province has provided much room for innovation and development, along with the emergence of a new type of ecology, accelerated formation of two ecosystems and international cooperation, and a supportive policy environment. Therefore, this paper uses 173 Small and Medium-sized Enterprises (SMEs) from Zhejiang Province as the research objects, builds a binary selection model, and analyzes the dynamic and constraining mechanism of intelligent upgrades of SMEs with regard to employee qualification, technology, capital, policy environment, and so on. The study finds that: First, among three main industries, manufacturing is the major industry for the intelligent upgrades of SMEs and there are significant demonstration effects and industry heterogeneity. Secondly, the willingness to upgrade intelligently for SMEs is relatively strong. More than half of SMEs that have not intelligently upgraded show willingness to implement intelligent upgrades. Thirdly, factors such as corporate profitability, human capital quality, and industry intelligence level have significantly promoted the intelligent upgrades of SMEs, while the impact of labor cost, capital structure, government subsidies, and other variables are not significant. This conclusion still works after a number of robustness tests. Last but not least, based on the above conclusions, this paper proposes corresponding policy recommendations which are practically beneficial to the development of SMEs in China.
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Xu, Lok Yee. "Breaking through the "Tower of Babel": Exploratory Research on the International Communication Practice of Artificial Intelligence Generating News." Advances in Education, Humanities and Social Science Research 11, no. 1 (July 22, 2024): 450. http://dx.doi.org/10.56028/aehssr.11.1.450.2024.
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With the deepening influence of artificial intelligence on the production mode of news and the increasing application of technological innovation in cross-border communication, this study found that artificial intelligence can solve the communication dilemma of language in cross-cultural communication revealed in the myth of the Tower of Babel through language translation and empathetic communication strategies. The literature review section introduces the basic concepts of cross-cultural empathy communication and the practical application of artificial intelligence-generated news in international communication. Multiple case studies were used in the research method, based on the specific practices of major media outlets including Xinhua News Agency, People's Daily, China Central Television, Associated Press, New York Times, and CBS in the application of intelligent technology. The research results indicate that the application of intelligent technology in the news production process has significantly improved work efficiency and promoted innovation in news production models at three levels: technical logic, media logic, and capital logic. The conclusion drawn from this article is that the deep involvement of generative artificial intelligence technology in the news production process can help build a new production mechanism that balances efficiency and responsibility and promotes the comprehensive improvement of efficiency and quality in cross-cultural communication. Future research will continue to focus on the empirical application of intelligent technology in news production, further optimizing news production models, and providing new perspectives and methods for developing the media industry.
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Hou, Hongxia. "On the three constraints of the development of artificial intelligence: Value, liberation and responsibility." Cultures of Science 4, no. 3 (September 2021): 159–68. http://dx.doi.org/10.1177/20966083211052637.
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The socialization of technology and the technicalization of society have accelerated the speed, scope and scale of human liberation from nature. In our past technological society, ‘liberation from nature’ mainly referred to people's physical strength. An intelligent society, characterized by the wide application of the internet, big data and artificial intelligence (AI), will further liberate not only people's physical strength, but also their mental power, greatly changing social forms and social operation modes, as well as people themselves. In the application of technologies and the design and manufacture of equipment on which the intelligent society depends, a new tension is formed between instrumental rationality and value rationality. While promoting the liberation of human beings, intelligent society will also cause humans to be dominated and enslaved by AI, which will lead to human alienation. Intelligent society is more in pursuit of how the invested capital and technology can multiply in the process of accumulation and circulation; meanwhile, it will ignore the moral responsibilities of relevant parties, such as researchers, manufacturers and users. In the process of developing an intelligent society, instrumental rationality should be regulated by value rationality, thus promoting the liberation of human beings and eliminating their alienation. As capital appreciation occurs, the moral responsibilities of relevant parties should be clarified.
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Bakumenko, Maria, Anatoliy Sigal, and Dmitriy Titarenko. "Prospects for the development and application of artificial intelligence technologies in Russia." E3S Web of Conferences 431 (2023): 05036. http://dx.doi.org/10.1051/e3sconf/202343105036.
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The paper examines the prospects for the design and introduction of artificial intelligence technologies in Russia’s economic system. Based on official rankings of the globe’s leading organizations and the tools of economic and mathematical modeling, we have assessed the impact of artificial intelligence technologies on the level of competitiveness of the national economy. The obtained results indicate a rather strong impact of artificial intelligence technologies on the level of competitiveness of the national economy. We have also analyzed the current level of development of artificial intelligence technologies in the Russian Federation, and pointed out significant risks and threats caused by the introduction of these technologies. The development of artificial intelligence technologies can lead to the fact that, at some point, human capital might cease to be necessary in the economy; simply put, human capital will become an unnecessary factor in economic development. In order for humanity to cope with the challenges, driven by the development of artificial intelligence technologies, the implementation of intelligent information systems should not be thoughtless; their implementation should be reasonable and extremely careful. Furthermore, we suggest how to make the use of artificial intelligence technologies in Russia’s economy more efficient. The conclusion is that, first of all, Russia should develop artificial intelligence technologies in relation to the real sector of the economy in order to increase the competitiveness of domestic goods and services and achieve the goal of import substitution. Artificial intelligence technologies should aim at improving the performance of the public health service.
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Yang, Ning. "Financial Big Data Management and Control and Artificial Intelligence Analysis Method Based on Data Mining Technology." Wireless Communications and Mobile Computing 2022 (May 29, 2022): 1–13. http://dx.doi.org/10.1155/2022/7596094.
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Driven by capital and Internet information (IT) technology, the operating scale and capital scale of modern industrial and commercial enterprises and various organizations have increased exponentially. At present, the manual-based financial work model has been unable to adapt to the changing speed of the modern business environment and the business rhythm of enterprises. All kinds of enterprises and organizations, especially large enterprises, urgently need to improve the operational efficiency of financial systems. By enhancing the integrity, timeliness, and synergy of financial information, it improves the comprehensiveness and ability of analyzing complex problems in financial analysis. It can cope with such rapid changes and help improve the financial management capabilities of enterprises. It provides more valuable decision-making guidance for business operations and reduces business risks. In recent years, the vigorous development of artificial intelligence technology has provided a feasible solution to meet the urgent needs of enterprises. Combining data mining, deep learning, image recognition, natural language processing, knowledge graph, human-computer interaction, intelligent decision-making, and other artificial intelligence technologies with IT technology to transform financial processes, it can significantly reduce the processing time of repetitive basic financial processes, reduce the dependence on manual accounting processing, and improve the work efficiency of the financial department. Through the autonomous analysis and decision-making of artificial intelligence, the intelligentization of financial management is realized, and more accurate and effective financial decision-making support is provided for enterprises. This paper studies the company’s intelligent financial reengineering process, so as to provide reference and reference for other enterprises to upgrade similar financial systems. The results of the analysis showed that at the level of α = 0.05 , there was a significant difference in the mean between the two populations. When the r value is in the range of -1 and 1, the linear relationship between the x and y variables is more obvious. This paper proposes decision-making suggestions and risk control early warning to the group decision-making body, or evaluates the financial impact of the group’s decision-making, and opens the road to financial intelligence.
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Siurdyban, Artur, and Charles Møller. "Towards Intelligent Supply Chains." International Journal of Information Systems and Supply Chain Management 5, no. 1 (January 2012): 1–19. http://dx.doi.org/10.4018/jisscm.2012010101.
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In their struggle for operational excellence, global companies face challenges in finding a common denominator to streamline and align supply chain operations across business units. The ever growing complexity of managing global flows of products, information and capital increases the risk of deploying inapt operations leading to deterioration of profits. To address this problem, the authors propose a unified business process design framework based on the paradigm of intelligence. Intelligence allows humans and human-designed systems cope with environmental volatility, and the authors argue that its principles applied to the context of organizational processes can increase the success rate of business operations. The framework is created using a set of theoretical based constructs grounded in a discussion across several streams of research including psychology, pedagogy, artificial intelligence, learning, business process management and supply chain management. It outlines a number of system tasks combined in four integrated management perspectives: build, execute, grow and innovate, put forward as business process design propositions for Intelligent Supply Chains.
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Fairchild, Alea. "Intelligent matching: integrating efficiencies in the financial supply chain." Supply Chain Management: An International Journal 10, no. 4 (September 1, 2005): 244–48. http://dx.doi.org/10.1108/13598540510612703.
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PurposeThe purpose of this paper is to develop a better understanding of supply chain management in the financial services industry by examining information flow in improving efficiencies (i.e. material, information, capital, etc.) via intelligent matching.Design/methodology/approachThe objective was to address the issues specific to financial services organizations in intelligent matching, examining organizational, technological and application aspects. In order to address these issues, we have utilized an exploratory research methodology, based on a literature review and some initial case studies.FindingsDrivers for intelligent matching solutions have been suggested in this research to include the ability to link financial matching activities to other supply chain activities. Further integration of business processes, both within and between enterprises, will require both human and computational intelligence to approach efficiencies in automation.Research limitations/implicationsSupply chain efficiencies enabled by financial products and information give organizations greater visibility over their receivables, working capital needs, and overall financial position. Limitations of this research include a small sampling of case studies; future research will include a wider scope of cases as to test the findings.Practical implicationsInteroperability of information between the physical movement of goods and financial information within supply chains is key to realizing cost‐reduction and revenue‐enhancement advantages.Originality/valueThis paper discusses a potential area for extending our understanding of supply chains and the role of information flow in improving efficiencies, especially in the financial services industry.
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Sousa, Maria José, and Ivo Dias. "Business Intelligence for Human Capital Management." International Journal of Business Intelligence Research 11, no. 1 (January 2020): 38–49. http://dx.doi.org/10.4018/ijbir.2020010103.
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This article presents the results of an exploratory study of the use of business intelligence (BI) tools to help to make decisions about human resources management in Portuguese organizations. The purpose of this article is to analyze the effective use of BI tools in integrating reports, analytics, dashboards, and metrics, which impacts on the decision making the process of human resource managers. The methodology approach was quantitative based on the results of a survey to 43 human resource managers and technicians. The data analysis technique was correlation coefficient and regression analysis performed by IBM SPSS software. It was also applied qualitative analysis based on a focus group to identify the impacts of business intelligence on the human resources strategies of Portuguese companies. The findings of this study are that: business intelligence is positively associated with HRM decision-making, and business intelligence will significantly predict HRM decision making. The research also examines the process of the information gathered with BI tools from the human resources information system on the decisions of the human resources managers and that impacts the performance of the organizations. The study also gives indications about the practices and gaps, both in terms of human resources management and in processes related to business intelligence (BI) tools. It points out the different factors that must work together to facilitate effective decision-making. The article is structured as follows: a literature review concerning the use of the business intelligence concept and tools and the link between BI and human resources management, methodology, and the main findings and conclusions.
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Dokthaisong, Dr Boonton. "ARTIFICIAL INTELLIGENCE AND HUMAN CAPITAL DEVELOPMENT." International Journal of Social Science & Economic Research 08, no. 07 (2023): 1813–20. http://dx.doi.org/10.46609/ijsser.2023.v08i07.010.
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Bobyl, Volodymyr, and Kateryna Hannouf. "ANALYSIS AND EVALUATION OF THE TRANSFORMATION OF INTELLECTUAL CAPITAL PROPERTIES IN UKRAINE." International Interdisciplinary Scientific Journal "Expert" 1, no. 2 (February 24, 2024): 64–82. http://dx.doi.org/10.62034/2815-5300/2024-v1-i2-005.
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The research is dedicated to the analysis and evaluation of the transformation of intellectual capital (IC) properties in the pre-war period of the country. The study enhances and categorizes contemporary indicators for assessing intellectual capital properties, classifies indicators based on their qualitative impact on the level of intellectual capital, normalizes indicators for constructing radar charts, and determines the level of intellectual capital in Ukraine. The research identifies the impact level of the dynamics of intellectual capital properties on the country's GDP changes. Methodology: To achieve the set goal, the study employs the dialectical method, analysis, and synthesis (investigation of human, organizational, and structural (client) capitals and changes in their properties), graphical method (for illustrating research results); system-structural and expert analysis (to determine the impacts of changes in intellectual capital properties on GDP). Scientific novelty lies in determining the influence of transformations in intellectual capital properties on GDP changes to define a strategy for optimizing the country's intellectual capital structure. Practical significance involves recommending indicators for assessing IC properties for further development of incentive measures using digital technologies and artificial intelligence to enhance the structure of intellectual capital, providing grounds for developing a strategy for IC optimization in the country. Keywords: intellectual capital, digitization, structural capital, consumer capital, human capital, assessment, transformations, properties.
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안수현. "A Study on the Regulatory Challenges of Capital Market Act for the Evolution of Intelligent Artificial Intelligence(AI)." Korean Journal of Securities Law 18, no. 3 (December 2017): 137–76. http://dx.doi.org/10.17785/kjsl.2017.18.3.137.
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Lin, Mei-ling. "Educational Upward Mobility. Practices of Social Changes--Research on Social Mobility and Educational Inequality." International Journal of Social Science Studies 8, no. 3 (March 26, 2020): 25. http://dx.doi.org/10.11114/ijsss.v8i3.4789.
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Social class is defined by the possession of all forms of economic capital, cultural capital and social capital which together shape the kinds of experience and lifestyles. This process is dubbed symbolic violence by Pierre Bourdieu. Education is crucially linked to assets such as income, occupational position and social prestige. Educational upward mobility requires more than individual effort and intelligence, and sometimes different ingredients, such as specific social conditions. The different dimensions of inequality—income, poverty, social exclusion, education and social mobility—are interconnected. The paper has been inspired by Bourdieu’s work on symbolic domination and capitals, and lifestyles. The author identifies a persistence of inequalities among the students due to social reproduction mechanisms: family background and parents’ social situation have a substantial influence on the life chances. The empirical data of this study come from a survey in 2019. The paper ends with a summary of findings and conclusions.
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Parodi, Pietro. "Computational intelligence with applications to general insurance: a review." Annals of Actuarial Science 6, no. 2 (May 18, 2012): 307–43. http://dx.doi.org/10.1017/s1748499512000036.
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AbstractThis paper argues that most of the problems that actuaries have to deal with in the context of non-life insurance can be usefully cast in the framework of computational intelligence (a.k.a. artificial intelligence), the discipline that studies the design of agents which exhibit intelligent behaviour. Finding an adequate framework for actuarial problems has more than a simply theoretical interest: it also allows a knowledge transfer from the computational intelligence discipline to general insurance, wherever techniques have been developed for problems which are common to both contexts. This has already happened in the past (neural networks, clustering, data mining have all found applications to general insurance) but not systematically, with the result that many useful computational intelligence techniques such as sparsity-based regularisation schemes (a technique for feature selection) are virtually unknown to actuaries.In this first of two papers, we will explore the role of statistical learning in actuarial modelling. We will show that risk costing, which is at the core of pricing, reserving and capital modelling, can be described as a supervised learning problem. Many activities involved in exploratory analysis, such as data mining or feature construction, can be described as unsupervised learning. A comparison of different computational intelligence methods will be carried out, and practical insurance applications (rating factor selection, IBNER analysis) will also be presented.
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Andriani, Yessy, Ade Komaludin, and Asep Yusup Hanapia. "ANALYSIS OF PERFORMANCE DETERMINING FACTORS EMPLOYEES THROUGH WORK PRODUCTIVITY AS INTERVENING VARIABLES." Jurnal Ekonomi Manajemen 9, no. 1 (May 31, 2023): 73–84. http://dx.doi.org/10.37058/jem.v9i1.7097.
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The main objective of this study is to determine the effect of human capital, organizational commitment, spiritual intelligence, and intellectual intelligence on performance as measured by work productivity partially or simultaneously. This study's PLS-SEM analysis led to the following conclusions: (1) There is a considerable positive influence of organizational commitment, human capital, and spiritual intelligence on employee work productivity, whereas intellectual intelligence has a negative and negligible effect. (2) While intellectual intelligence has a negative and minor impact on employee performance, human capital, organizational dedication, and spiritual intelligence all have a considerable beneficial impact. (3) There is a sizable positive relationship between employee performance and job productivity. (4) Work productivity as an intervening variable for workers has a large positive relationship with human capital, organizational commitment, and spiritual intelligence, but a negative and negligible relationship with intellectual intelligence. The study's novel conclusion is that both directly and indirectly, the discovery of spiritual intelligence positively affects performance through job productivity.
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Li, Zheng, and Congling Pang. "Does Digital Economy Contribute to Regional Carbon Productivity Evidence of China?" Mathematical Problems in Engineering 2022 (July 1, 2022): 1–13. http://dx.doi.org/10.1155/2022/6815133.
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With breakthroughs in big data, communication networks, artificial intelligence, and other next-generation information technologies, intelligent production methods and digital lifestyles have risen rapidly. Digital economy has become a significant force in promoting regional low-carbon development as a new economic form in the important period of the intersection of digitalization and “carbon peaking and carbon neutrality goals.” This paper empirically explores the moderating role and threshold role of human capital in digital economy and regional carbon productivity by systematically measuring digital economy indicators. Research shows that China’s digital economy development index is rising annually. However, the development of digital economy varies significantly between different regions. The results of moderating effect showed that human capital accumulation could dramatically strengthen the role of digital economy in promoting regional carbon productivity. The results of the threshold effect showed that human capital plays an important threshold role in the relationship between digital economy and regional carbon productivity. This paper provides a practical reference for exploring power sources, policy design, and path selection of low-carbon development.
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Cohen, Scott, Don Mosley, and Bill Gillis. "Transforming social capital: How psychological capital and emotional intelligence influence NCBIs." Academy of Management Proceedings 2016, no. 1 (January 2016): 12273. http://dx.doi.org/10.5465/ambpp.2016.12273abstract.
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BOBYL, V., and K. HANNOUF. "DIAGNOSTICS OF THE TRANSFORMATION OF INTELLECTUAL CAPITAL PROPERTIES IN UKRAINE." REVIEW OF TRANSPORT ECONOMICS AND MANAGEMENT, no. 10(26) (March 31, 2024): 256–67. http://dx.doi.org/10.15802/rtem2023/300826.
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Abstract. The focus of this study is on the analysis of transformations of the nation's intellectual capital during the period preceding the conflict. It identifies and organizes modern methods of assessing intellectual capital, classifies indicators considering their impact on the total volume of intellectual capital, and implements the normalization of these indicators for creating radial diagrams and determining the state of intellectual capital in Ukraine. The effect of changes in intellectual capital on the fluctuations of the country's Gross Domestic Product (GDP) is also examined. Methodology. To achieve the objectives of the study, various methods were employed: dialectical method and synthesis for analyzing the evolution of human, organizational, and structural capitals; graphic analysis for the visual representation of data; and comprehensive and structural analysis with expert assessments to evaluate the impact of intellectual capital transformations on economic indicators. Scientific and Practical Significance. The work contributes to understanding the impact of changes in the structure of intellectual capital on GDP dynamics, which is key to developing an effective strategy for managing the country's intellectual resources. From a practical standpoint, the research aids in establishing criteria for evaluating intellectual capital and developing motivational mechanisms based on digital innovations and artificial intelligence for optimizing the structure of intellectual capital, paving the way for the development of a refinement strategy.
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Gulistan Yunlu, Dilek, and Rachel Clapp-Smith. "Metacognition, cultural psychological capital and motivational cultural intelligence." Cross Cultural Management 21, no. 4 (September 30, 2014): 386–99. http://dx.doi.org/10.1108/ccm-07-2012-0055.
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Purpose – The purpose of this paper is to discuss the concept of cultural psychological capital, its impact on motivational cultural intelligence (CQ), the influence of motivational cultural intelligence on metacognitive awareness, and the moderating role of perspective taking on the relationship between motivational cultural intelligence and metacognition. Design/methodology/approach – Collected data from international management program alumni to test the hypotheses. Findings – The results show that cultural psychological capital has a positive relationship with motivational cultural intelligence, which in turn relates to metacognitive awareness, and perspective taking does not moderate the relationship between motivational cultural intelligence and metacognition. Research limitations/implications – The data were collected from a single source. The study supports broaden-and-build theory (Fredrickson, 2001) by demonstrating that cultural psychological capital has an important association with motivational cultural intelligence. Practical implications – Cultural psychological capital can be improved. Therefore, organizations that desire to increase the motivation of employees may consider improving the cultural psychological capital of employees. Learning is an important outcome of motivational cultural intelligence, and it is an asset for today's organizations. Originality/value – The study takes a positive perspective for cross-cultural experiences and identifies cultural psychological capital as an important resource for expatriates. Metacognitive awareness, as an outcome, provides support that cross-cultural experience results in higher learning for individuals who are motivated.
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Brooks, Kit, and Fredrick Muyia Nafukho. "Human resource development, social capital, emotional intelligence." Journal of European Industrial Training 30, no. 2 (February 2006): 117–28. http://dx.doi.org/10.1108/03090590610651258.
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Hadiyatno, Didik, Dwi Susilowati, Nadi Hernadi Moorcy, Imam Arrywibowo, and Tutik Yuliani. "Artificial Intelligence Model for Human Capital Management." Jurnal Penelitian Pendidikan IPA 9, no. 10 (October 25, 2023): 8280–86. http://dx.doi.org/10.29303/jppipa.v9i10.5083.
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Artificial Intelligence is a technology that allows machines to learn and adapt quickly from given data without having to be explicitly programmed. AI has found its place in many industries and has great potential to improve the efficiency of human resources within organizations. In this article, we will discuss how the use of artificial intelligence can help improve human resource efficiency. This review is a literature search with an elaborative approach. This approach is a methodological effort by organizing the logic flow of the discussion with various compatible literature sources. Reliable literature sources come from journals, books, articles, and other sources relevant to this discourse. The result of the study is that human resource management needs to adjust to the needs of the organization and adjust the culture or corporate culture to the technological culture. Human interaction with machines is an inevitable necessity. The existence of artificial intelligence is very helpful in human resource management, for example in recruitment systems, training, data analysis, performance analysis, and operational duty efficiency.
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Black, Warren, Geoffrey Cann, and Darren Gerber. "Nine principles for establishing a risk-intelligent major capital project." APPEA Journal 53, no. 2 (2013): 495. http://dx.doi.org/10.1071/aj12106.
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The reality of major capital projects With almost $1 trillion of investor capital being committed to major capital projects across Australia, the competition to secure adequate skills, machinery, materials, operating licenses, contractor support, and associated infrastructure has increased significantly, putting pressure on supply and yielding unique delivery risks. Furthermore, the sheer magnitude and complexity of these projects, combined with market conditions and the high value of the Australian dollar, has increased risk profiles to the point where such projects may threaten the financial security of owners and investors. The reality is that major capital projects can significantly enhance or erode shareholder value, depending on how well they are executed. Considering their high-impact nature, levels of governance, risk management, and assurance need to be strengthened. Risk intelligence in major capital projects As part of Deloitte's ongoing relationship with some of the most prominent major capital project entities in Australia, the authors have assessed a number of mega projects to determine what commonalities exist in light of risk management better practice. The authors have consolidated their observations into their latest contribution to Australian industry: Nine Principles to Establishing a Risk Intelligent, Major Capital Project. This extended abstract outlines what the authors believe the top Australian major capital projects are doing to control risk, while pursuing their delivery objectives. How are project officers securing clear accountability in complex stakeholder environments? How are they keeping owners and investors assured? How are they de-mystifying emerging risk scenarios?
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Secundo, Giustina, John Dumay, Giovanni Schiuma, and Giuseppina Passiante. "Managing intellectual capital through a collective intelligence approach." Journal of Intellectual Capital 17, no. 2 (April 11, 2016): 298–319. http://dx.doi.org/10.1108/jic-05-2015-0046.
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Purpose – The purpose of this paper is to provide a new framework for managing intellectual capital (IC) inside a university considering the collective intelligence perspective. Design/methodology/approach – The research method uses the fourth stage of IC research and adopts the collective intelligence approach. The underlying assumption behind the framework is to consider the university as a collective intelligence system in which the tangible and intellectual assets are coordinated towards the achievement of strategic goals. Findings – The conceptual framework for IC management harnesses the power of IC, collectively created by the engagement of multiple stakeholders inside the university network. The main components are the final goal of a university (what); the collective human capital to achieve the goal (who); the processes activated inside the university (how); and finally the motivations behind the achievement of the goal (why). Research limitations/implications – The research is exploratory and the framework offers opportunities for refinement. Future research is needed to verify the application of the framework to other organisations in the public sector intended as collective intelligence systems. A new perspective for managing IC in universities adopting the collective intelligence approach is developed. Contribution to the fourth stage (ecosystem) of IC research is highlighted, expanding the concept of IC value creation beyond the university into wider society. Practical implications – The framework can be used to manage IC strategically in all the systems interpreted as collective intelligence systems in which the role of IC creation from multiple actors is relevant. This makes possible the understanding of how IC helps create value for the society and the region in which the university operates. Originality/value – The originality of the paper is in bringing together issues usually dealt within the literature in separate domains, such as IC management and collective intelligence perspective. The concept of collective intelligence remains an unexplored field in relation to IC management in the public sector. The collective intelligence approach provides a novel contribution to managing IC and is intended to inspire future research.
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Sabateen, Maryam Abdul Rahman, and Mohamed Ibrahim Al-Ghaziwat. "Developing a Program in Geography Subject for the Basic Sixth Grade in Light of Multiple Intelligences Theory and Measuring Its Impact on Developing Critical and Creative Thinking Skills and Students' Achievement in Private Schools in the Capital (Amman)." Jordanian Educational Journal 9, no. 1 (January 30, 2024): 26–50. http://dx.doi.org/10.46515/jaes.v9i1.537.
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This study aimed to develop a program in geography subject for the basic sixth grade in light of multiple Intelligence theory and measuring its impact on developing critical and creative thinking skills and students' achievement in private schools in the capital (Amman). To achieve the study's objectives, a program in geography subject in light of multiple intelligences theory and examine the critical and creative thinking was developed, in addition to use achievement test in geography subject. As the study sample was consisted of (50) students, they were chosen by purposive method. They were divided into two groups; one of them was randomly identified as a control group. Its members’ number was (25) students, they were taught by the usual way, as for the other group was experimental group. Its number was (25) students, they were taught by the multiple intelligences theory. The findings showed that the experimental group were taught by the multiple intelligences theory be superior to the control group. In light of those findings, the study recommended the necessity to hold training courses for the curriculum developers, educational staff and parents in terms of multiple intelligences to employ that in curriculum development and improvement.
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Boohene, Rosemond, Regina Appiah Gyimah, and Martin Boakye Osei. "Social capital and SME performance: the moderating role of emotional intelligence." Journal of Entrepreneurship in Emerging Economies 12, no. 1 (August 12, 2019): 79–99. http://dx.doi.org/10.1108/jeee-10-2018-0103.
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Purpose Lack of extant studies on the moderating role of emotional intelligence on the relationship between social capital and firm performance necessitated this study. The purpose of this paper is to examine the extent to which emotional intelligence moderates the relationship between social capital and small and medium-scaled enterprises’ (SMEs’) performance. Design/methodology/approach A total of 1,532 SMEs were selected through simple random sampling technique from a population of 5,009 SMEs. Structural equation modelling using AMOS was used to analyse the relationship between the variables. Findings The results revealed that social capital has a positive and significant relationship with emotional intelligence. Moreover, the study also showed that emotional intelligence has a positive and significant relationship with SME performance. Finally, the study found that emotional intelligence enhances the relationship between social capital and SME performance. Practical implications SME owner/managers are advised to enact policies that encourage the establishment of meaningful social networks and also help employees understand their emotions while creating social capital as both would help improve the performance of their firms. Originality/value This paper breaks new ground by identifying emotional intelligence as an enabler of SMEs performance where there is adequate social capital.
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Dianah, Lili. "PENGARUH KECERDASAN EMOSIONAL DAN MODAL SOSIAL TERHADAP KEMANDIRIAN BELAJAR SISWA DALAM PEMBELAJARAN IPS." Sosio-Didaktika: Social Science Education Journal 4, no. 2 (December 31, 2017): 13–20. http://dx.doi.org/10.15408/sd.v4i2.7987.
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The study aims to measure and analyze the influence of emotional intelligence and social capital towards self-regulated learning. This study used a quantitative approach and survey method. The samples are 400 students from 16 Junior High Schools grade 8th in West Bandung regency. The research used stratified random sampling. The results showed that emotional intelligence and social capital positive and significant impact on student’ self regulated learning. The influence of emotional intelligence was 0,447, or 20% toward self regulated learning, while the remaining (80%) was influenced by other factors. The influence of social capital was 0.232 or 5.4%, toward self regulated learning, while the remaining (94.6%) was influenced by other factors. Simultaneously, the emotional intelligence and social capital influenced 33.2% toward self regulated learning and the remaining (66.8%) was influenced by other factors. In this study the variables of emotional intelligence has the most impact on self regulated learning. The implication showed that the student’s self regulated learning could be enhanced by increasing the students’ emotional intelligence and social capital.
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Acedo, Albert, Marco Painho, Sven Casteleyn, and Stéphane Roche. "Place and City: Toward Urban Intelligence." ISPRS International Journal of Geo-Information 7, no. 9 (August 23, 2018): 346. http://dx.doi.org/10.3390/ijgi7090346.
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Place, as a concept, is subject to a lively, ongoing discussion involving different disciplines. However, most of these discussions approach the issue without a geographic perspective, which is the natural habitat of a place. This study contributes to this discourse through the exploratory examination of urban intelligence utilizing the geographical relationship between sense of place and social capital at the collective and individual level. Using spatial data collected through a web map-based survey, we perform an exhaustive examination of the spatial relationship between sense of place and social capital. We found a significant association between sense of place and social capital from a spatial point of view. Sense of place and social capital spatial dimensions obtain a non-disjoint relationship for approximately half of the participants and a spatial clustering when they are aggregated. This research offers a new exploratory perspective for place studies in the context of cities, and simultaneously attempts to depict a platial–social network based on sense of place and social capital, which cities currently lack.
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Demertzis, Konstantinos, Stavros Demertzis, and Lazaros Iliadis. "A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations." Applied Sciences 13, no. 6 (March 7, 2023): 3380. http://dx.doi.org/10.3390/app13063380.
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Artificial intelligence is the branch of computer science that attempts to model cognitive processes such as learning, adaptability and perception to generate intelligent behavior capable of solving complex problems with environmental adaptation and deductive reasoning. Applied research of cutting-edge technologies, primarily computational intelligence, including machine/deep learning and fuzzy computing, can add value to modern science and, more generally, to entrepreneurship and the economy. Regarding the science of civil engineering and, more generally, the construction industry, which is one of the most important in economic entrepreneurship both in terms of the size of the workforce employed and the amount of capital invested, the use of artificial intelligence can change industry business models, eliminate costly mistakes, reduce jobsite injuries and make large engineering projects more efficient. The purpose of this paper is to discuss recent research on artificial intelligence methods (machine and deep learning, computer vision, natural language processing, fuzzy systems, etc.) and their related technologies (extensive data analysis, blockchain, cloud computing, internet of things and augmented reality) in the fields of application of civil engineering science, such as structural engineering, geotechnical engineering, hydraulics and water resources. This review examines the benefits and limitations of using computational intelligence in civil engineering and the challenges researchers and practitioners face in implementing these techniques. The manuscript is targeted at a technical audience, such as researchers or practitioners in civil engineering or computational intelligence, and also intended for a broader audience such as policymakers or the general public who are interested in the civil engineering domain.
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IMRAN SAEED, SAIF ULLAH KHAN, GHAYYUR QADIR, and QANDEEL KHATTAK. "Effect of Psychological Capital and Emotional Intelligence on Employee’s Job Performance." Journal of Business & Tourism 3, no. 2 (November 5, 2021): 109–26. http://dx.doi.org/10.34260/jbt.v3i2.76.
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Employee’s job performance is considered to be very key variable effecting organizational performance. In today’s hypercompetitive world global economy business need to try identifying the factors that has effect on employee’s performance, and psychological capital and emotional intelligence are amongst them. Consequently the main aim of the study was to find out the relationship of psychological capital and emotional intelligence on employee’s job performance in Public sector Universities of Peshawar. In order to obtain the required objectives, a sample of 170 respondents was selected randomly through proportional allocation method. Well-structured questionnaire was used to collect the data. For checking the reliability of data, Cronbach’s alpha coefficient was used. The results quantified that the collected data is reliable as coefficient of Cronbach’s alpha is greater than 0.70 for psychological capital and emotional intelligence. For employee performance the reliability measures was less than 70%.MAS were greater than 3 for most of studied attributes showing that employees are in favor of effect of psychological capital and emotional intelligence on employee’s performance. The results of Chi-square showed a significant (P < 0.05) association between psychological capital and employee performance and also emotional intelligence and employee performance. Grounded on the results, it is determined that psychological capital and emotional intelligence are significantly associated with employee’s performance.
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Ariyasipak, Yanarat, and Napat Harnpornchai. "A New Equation for Human Intellectual Capital Management Intelligent Website for Managing Communities of Practice of Academic Organizations and Financial Investments by Using Adaptive and Dynamic Assessment Networks." Modern Applied Science 10, no. 7 (May 24, 2016): 233. http://dx.doi.org/10.5539/mas.v10n7p233.
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In the forthcoming twenty century, economic system of each country should be driven based on sciences, technology and innovations developed by specific knowledge from specialists called knowledge workers. This is an important strategy of Thailand to develop new products and services for surviving in serious business competition. Therefore, essential knowledge in knowledge workers such as skills and experiences for developing new products, services and innovations are required. This tacit knowledge (knowledge in human) should be appropriately measured and managed in the perspective of intellectual capital or intangible capital management. This paper attempts to answer the question “How to appropriately measure tacit knowledge by using graph theory?”. Thus, a new equation to measure intellectual capital for managing excellent centers and laboratories is presented in this paper. This is the novel impact factor equation which considers the dimension of time and frequency of published articles combined with the other impact factors of each published paper on Scimago Journal Rank website and Scopus. Moreover, it is not only the formula which is the quantitative intellectual capital assessment but the intellectual capital indicators and the intellectual capital analysis for university are illustrated in the form of qualitative intellectual capital assessment also. Moreover, intellectual capital management intelligent website for managing Communities of Practice (CoP) of academic organizations and financial investments by using new equation and Dynamic Assessment Networks (DANs) is developed also. The proposed concept and methodology is a basis for risk management in terms of human capitals and financial investments.
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Saraev, Victor N., and Igor Yu Fedorov. "Capital Accumulation Dynamics." Economic Strategies 188, no. 2 (April 30, 2023): 24–35. http://dx.doi.org/10.33917/es-2.188.2023.24-35.
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The article discusses the scheme of K. Marxian expanded reproduction through the prism of the capital accumulation analysis by R. Luxembourg taking into account of the infrastructure impact on the development of capitalism. The author gives examples of the 21st century infrastructure, in par ticular he examines multilateral platforms — payment systems for cross-border payments, associated with broadband satellite Internet access and an ar tificial intelligence environment.
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Zhang, Qiuyue, and Yu Cao. "Revolutionizing Chinese Manufacturing: Uncovering the Nexus of Intelligent Transformation and Capital Market Information Efficiency." Sustainability 15, no. 19 (October 2, 2023): 14429. http://dx.doi.org/10.3390/su151914429.
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Intelligent transformation plays a crucial role in advancing sustainable development in manufacturing while also enhancing the information environment. This study examines the role of intelligent transformation in China’s manufacturing sector, spanning theoretical and empirical dimensions and being anchored in the context of capital market information efficiency. The theoretical framework highlights how intelligent transformation mitigates information asymmetry, aligning a firm’s valuation with its intrinsic value, thereby elevating the information efficiency of capital markets. Leveraging annual reports from China’s A-share manufacturing firms, this study employs textual analysis to construct indicators assessing the extent of intelligent transformation across these entities. The empirical findings of this study harmonize with the theoretical constructs. Notably, intelligent transformation emerges as a pivotal driver in enhancing information efficiency in capital markets, substantiated by a negative correlation between intelligent transformation and stock price synchronicity within the manufacturing domain. This correlation withstands a battery of robustness tests and endogeneity treatment. The mechanism driving this transformative impact lies in intelligent transformation’s ability to enhance productivity and magnify market attention, thereby positively influencing capital market information efficiency. The insights not only provide empirical support but also offer practical guidance for improving real-world company operations and developing high-quality capital markets.
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Yu, Zejun. "Impact on Smart Supply Chain in the Context of Industry 4.0: The Case of BYD." Highlights in Business, Economics and Management 30 (April 10, 2024): 91–96. http://dx.doi.org/10.54097/3mmeqa16.
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Industry 4.0 is one of the key topics put into research. Researchers have found that Industry 4.0 has a lot of theoretical research on manufacturing and supply chain management. However, there still needs to be a research gap in enterprise management and optimization of smart supply chains thanks to the fourth information revolution. Therefore, this paper uses the actual case of a BYD enterprise to analyze its enterprise's problems and use the intelligent supply chain to improve the problems. The research methodology of this paper is as follows: firstly, collect the data on BYD's R&D investment and supply chain structure, as well as the relevant thesis research on BYD's green development and cost management. Secondly, the enterprise data, supply chain structure, and so on are analyzed. Finally, it gives the corresponding suggestions and solutions in combination with intelligent supply chain management. The study shows that big data, smart data analysis, artificial intelligence, and smart supply chain framework should be used to manage BYD's capital investment, restructure the supply chain, and balance cost and sustainable development.
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BOSNEAGU, R. "Applications of smart technologies in oceanography and bathymetry." Scientific Bulletin of Naval Academy XXVI, no. 1 (June 15, 2023): 49–55. http://dx.doi.org/10.21279/1454-864x-23-i1-006.
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Oceanography and bathymetry are two interrelated fields that play an essential role in the maritime industry. Smart technologies are increasingly used in oceanography and bathymetry to collect and analyze data, improve predictive models, and increase the efficiency of operations. Autonomous underwater robots and vehicles are being used to collect data from the deep sea and to carry out underwater missions in areas inaccessible to humans. Data collected by such robots and autonomous underwater vehicles are processed using artificial intelligence and machine learning to provide accurate information about the underwater environment. This article presents the achievements of the RomanianNorwegian team in the MARINTECH project, Romanian - Norwegian Strategic Cooperation in Maritime Higher Education for the enhancement of human capital and knowledge base in the field of marine intelligent technologies.
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Lin, Li-Wei, Su-Mei Gan, and Shih-Yung Wei. "Intelligent Capital, Organizational Learning, and Corporate Performance Influence Relationship." Mathematical Problems in Engineering 2022 (February 22, 2022): 1–11. http://dx.doi.org/10.1155/2022/4666772.
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Purpose. The purpose of this paper is to examine the factors influencing intelligent capital on enterprise performance. Design/Methodology/Approach. Based on dynamic panel data of listed companies in the Taiwan electronics industry from 2006 to 2017, we used the GMM estimation method. Findings. The findings of this study indicate that human capital, innovation capital, process capital, and customer capital all significantly improve enterprise performance through the mechanism of organizational learning. Research Limitations/Implications. Future research on cross-country studies of various forms of electronics industry would be worth conducting to determine regional differences in the development of electronics industry activities. Originality/Value. The empirical results demonstrate that human capital, process capital, and customer capital exert a significant promoting effect on enterprise performance, while innovation capital significantly inhibits improvement of enterprise performance.
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Goyipnazarov, Sanjar. "THE CONCEPT OF DIGITAL DEVELOPMENT OF HUMAN CAPITAL BASED ON ARTIFICIAL INTELLIGENCE." Economics and Education 24, no. 3 (June 30, 2023): 63–70. http://dx.doi.org/10.55439/eced/vol24_iss3/a9.
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This article explores the theoretical and conceptual foundations of the digital development of human capital in the context of the introduction of digital economy and artificial intelligence. The purpose of this research is to improve the fundamental and conceptual foundations of digital development of human capital in the conditions of introduction of artificial intelligence. Based on this, the article bases the stages of human capital development from the point of view of the industry 4.0 paradigm and classifies the digital skills necessary for human capital and its development in the context of the digital economy. Also, the article reveals the transformational features of digital development of human capital in the conditions of introduction of artificial intelligence.
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Ivanov, Vasily Yu, Oleg I. Yankovsky, Anastasia I. Zalybina, and Vadim D. Frolov. "ARTIFICIAL INTELLIGENCE AS A FACTOR IN THE DEVELOPMENT OF HUMAN CAPITAL." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 4/4, no. 145 (2024): 6–11. http://dx.doi.org/10.36871/ek.up.p.r.2024.04.04.001.
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The work analyzes the impact of artificial intelligence technologies on the formation and development of human capital. As part of the study, a definition of the term “artificial intelligence” is derived, including the idea of the latter as the ability of a machine to imitate the cognitive functions inherent in humans. The duality of the approach to assessing the level of development of artificial intelligence is described, where both the state of maximum similarity to the human mind and the maximum discrepancy between artificial intelligence and its “natural” referent can be recognized as a high level. It is concluded that the role of artificial intelligence is contradictory in ensuring the development of human capital and, above all, in the ethical aspect, since artificial intelligence is devoid of human ideas about moral standards.