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Journal articles on the topic 'Economic Intelligence'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Amrullah, Haris. "Multiple Intelligences Theory Intelligence Formed in Economic Subjects." Jurnal Pendidikan Ilmu Sosial 30, no. 2 (2021): 127–38. http://dx.doi.org/10.17509/jpis.v30i2.35546.

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Each discipline has different characteristics and requires different bits of intelligence. Each discipline must have one or more intelligence that has the potential to be developed based on the characteristics of the discipline. In this study, the discipline that will be taken is economics. This article is a study that aims to find out what types of intelligence will develop in economics learning according to the characteristics of economics learning. This research is a qualitative type of research that is a literature study whose primary object is obtained from the existing literature. System

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2

Kuregyan, S. "ELECTRONIC ECONOMICS, ARTIFICIAL INTELLIGENCE AND ECONOMIC THEORY." Экономическая наука сегодня, no. 10 (December 11, 2019): 41–46. http://dx.doi.org/10.21122/2309-6667-2019-10-41-46.

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The article is devoted to the study of electronic economy and artificial intelligence from the point of view of their influence on economic theory. Economic theory is still a science that studies the world of things and the economic relations between people and their economic behavior. At the same time, special importance is attached to the effective use of limited material resources in order to create more wealth. All this is becoming unattainable in the age of information technology, the digital economy, which strengthen the intangible forms of capital and its impact on human life. Therefore

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3

Maune, Alexander. "Human capital intelligence and economic development." Problems and Perspectives in Management 14, no. 3 (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 possib

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4

Adami, C. "Economic Intelligence: Modern Concept." Вісник Київського національного університету імені Тараса Шевченка. Економіка, вип. 6 (207) (2019): 13–21.

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5

Wright, Jeffrey W. "Intelligence and economic security." International Journal of Intelligence and CounterIntelligence 5, no. 2 (1991): 203–21. http://dx.doi.org/10.1080/08850609108435178.

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6

Adami, C. "ECONOMIC INTELLIGENCE: MODERN CONCEPT." Bulletin of Taras Shevchenko National University of Kyiv. Economics, no. 207 (2019): 13–21. http://dx.doi.org/10.17721/1728-2667.2019/207-6/2.

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In the last half-century, the economic relations between countries have become more difficult to manage. Economic intelligence is a new complex and multidisciplinary concept introduced to help countries to interact in the new more complex scenario. The intelligence involves researching and finding informative asymmetries between two actors to use the obtained information for economic purposes. This study makes use of a new scientific theoretical approach to explore the economic intelligence concept represented by different contributions in academic literature. As a result, a lexicographic defi

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7

Lapatinas, Athanasios, and Anastasia Litina. "Intelligence and economic sophistication." Empirical Economics 57, no. 5 (2018): 1731–50. http://dx.doi.org/10.1007/s00181-018-1511-y.

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8

GAISER, LARIS. "ECONOMIC INTELLIGENCE: AN INEVITABLE CHOICE." CONTEMPORARY MILITARY CHALLENGES, VOLUME 2017 ISSUE 19/3 (September 15, 2017): 47–60. http://dx.doi.org/10.33179/bsv.99.svi.11.cmc.19.3.3.

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Povzetek Od padca berlinskega zidu se je mednarodno okolje močno spremenilo. Globaliziran trg, v katerem so politična zavezništva vedno bolj krhka, je države prisil v stalno gospodarsko vojno, v kateri pa prevladujejo le tiste, ki so v zadnjih letih oblikovale primeren sistem za izmenjavo informacij med javnim in zasebnim sektorjem. Gospodarska obveščevalna dejavnost je najbolj napredna teorija državnega upravljanja in predstavlja najprimernejši okvir za zasebno-javno sodelovanje v gospodarstvu. Namen članka je definirati pojem gospodarske obveščevalne dejavnosti ter z analizo nekaterih tujih

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9

Dominique, C. Rene, Scott Moss, and John Rae. "Artificial Intelligence and Economic Analysis." Southern Economic Journal 60, no. 4 (1994): 1071. http://dx.doi.org/10.2307/1060449.

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10

Hastedt, Glenn. "Seeking economic security through intelligence." International Journal of Intelligence and CounterIntelligence 11, no. 4 (1998): 385–401. http://dx.doi.org/10.1080/08850609808435384.

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11

Kodila-Tedika, Oasis, and Simplice A. Asongu. "Does Intelligence Affect Economic Diversification?" German Economic Review 19, no. 1 (2018): 74–93. http://dx.doi.org/10.1111/geer.12115.

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Abstract This paper extends the growing literature on knowledge economy by investigating the effect of intelligence on economic diversification. Using a battery of estimation techniques that are robust to endogeneity, we find that human capital has positive correlations with export diversification, manufactured added value and export manufactures. This empirical evidence is based on a world sample of 170 countries for the year 2010. The findings have significant implications for the fight against the Dutch disease. In essence, investing in human capital could bring economic diversity and there

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12

Agrawal, Ajay, Joshua Gans, and Avi Goldfarb. "Economic Policy for Artificial Intelligence." Innovation Policy and the Economy 19 (January 2019): 139–59. http://dx.doi.org/10.1086/699935.

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13

Parkes, D. C., and M. P. Wellman. "Economic reasoning and artificial intelligence." Science 349, no. 6245 (2015): 267–72. http://dx.doi.org/10.1126/science.aaa8403.

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14

Johnson, Loch K. "ECONOMIC INTELLIGENCE AND THE CIA." Southeastern Political Review 25, no. 3 (2008): 501–14. http://dx.doi.org/10.1111/j.1747-1346.1997.tb00788.x.

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15

Wall, Kent D. "Artificial intelligence and economic analysis." Journal of Economic Behavior & Organization 30, no. 1 (1996): 137–38. http://dx.doi.org/10.1016/s0167-2681(97)86971-5.

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16

Gottinger, Hans W. "Artificial intelligence and economic modelling." Expert Systems 8, no. 2 (1991): 99–105. http://dx.doi.org/10.1111/j.1468-0394.1991.tb00257.x.

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17

A. Hensler, Douglas, and Samuel K. M. HO. "ARTIFICIAL INTELLIGENCE: AN ECONOMIC OVERVIEW." INTERNATIONAL JOURNAL OF ECONOMICS AND COMMERCE RESEARCH 5, no. 1 (2025): 1–8. https://doi.org/10.34218/ijecr_05_01_001.

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18

LUȚAI, Raluca, and Adina MIHĂIESCU. "COMPETITIVE INTELLIGENCE ȘI OPEN SOURCE INTELLIGENCE – INSTRUMENTE UTILE PENTRU AFACERI COMPETITIVE." Buletinul Universității Naționale de Apărare „Carol I” 11, no. 4 (2023): 57–64. http://dx.doi.org/10.53477/2065-8281-22-88.

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Conform principiilor securității economice, în era globalizării și a interdependențelor, agenții economici lucrează într-un mediu competitiv pe piețe incerte. În actualul mediu economic internațional, nu putem găsi nici un echilibru perfect, nici condiții de securitate pe termen lung. Cu toate acestea, o astfel de insecuritate are capacitatea de a stimula domeniul concurenţial, de a încuraja inovaţia şi competenţele adaptative. Anticiparea evoluțiilor și transformărilor rapide care au loc în cadrul piețelor sau al diferitelor industrii reprezintă o provocare căreia managerii companiilor îi fac

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19

Goi, Vasyl V. "The Efficiency of Intelligent Economic Systems in Ensuring Sustainable Economic Growth." Business Inform 3, no. 554 (2024): 160–67. http://dx.doi.org/10.32983/2222-4459-2024-3-160-167.

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This research paper explores the transformative potential of intelligent economic systems in the context of sustainable economic growth. This potential determines the impact of integrating artificial intelligence, data analytics, and automation into economic processes on key dimensions, including economic growth, resource efficiency, and environmental sustainability. Through a multidimensional approach, this research employs quantitative analyses, qualitative insights from stakeholder interviews and expert surveys, and cross-regional comparisons to provide a comprehensive perspective on the su

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20

Bickley, Steve J., Ho Fai Chan, and Benno Torgler. "Artificial intelligence in the field of economics." Scientometrics 127, no. 4 (2022): 2055–84. http://dx.doi.org/10.1007/s11192-022-04294-w.

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AbstractThe history of AI in economics is long and winding, much the same as the evolving field of AI itself. Economists have engaged with AI since its beginnings, albeit in varying degrees and with changing focus across time and places. In this study, we have explored the diffusion of AI and different AI methods (e.g., machine learning, deep learning, neural networks, expert systems, knowledge-based systems) through and within economic subfields, taking a scientometrics approach. In particular, we centre our accompanying discussion of AI in economics around the problems of economic calculatio

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21

Openkov, Mikhail Yu, and Vladimir S. Varakin. "Artificial Intelligence as an Economic Category." Vestnik of Northern (Arctic) Federal University. Series "Humanitarian and Social Sciences", no. 1 (February 10, 2018): 73–83. http://dx.doi.org/10.17238/issn2227-6564.2018.1.73.

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22

Shahraki, Armita Maleki, and Elmira Maleki Shahraki. "Economic Intelligence and Innovation: Case Study." Asian Social Science 12, no. 12 (2016): 220. http://dx.doi.org/10.5539/ass.v12n12p220.

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23

Yu, Ting. "Distributed Intelligence for Constructing Economic Models." International Journal of Organizational and Collective Intelligence 1, no. 3 (2010): 20–33. http://dx.doi.org/10.4018/joci.2010070102.

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This paper presents an integrated and distributed intelligent system being capable of automatically estimating and updating large-size economic models. The input-output model of economics uses a matrix representation of a nation’s (or a region’s) economy to predict the effect of changes in one industry on others and by consumers, government, and foreign suppliers on the economy (Miller & Blair, 1985). To construct the model reflecting the underlying industry structure faithfully, multiple sources of data are collected and integrated together. The system in this paper facilitates this estim

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24

Wellman, Michael P. "The economic approach to artificial intelligence." ACM Computing Surveys 28, no. 4es (1996): 14. http://dx.doi.org/10.1145/242224.242242.

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25

Wellman, Michael P. "The economic approach to artificial intelligence." ACM Computing Surveys 27, no. 3 (1995): 360–62. http://dx.doi.org/10.1145/212094.212128.

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26

Ho, Shirley J. "AN ECONOMIC ANALYSIS OF MILITARY INTELLIGENCE." Defence and Peace Economics 18, no. 6 (2007): 485–93. http://dx.doi.org/10.1080/10242690701197571.

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27

Foster, Pam. "International economic analysis: the intelligence sources." Business Information Review 8, no. 3 (1992): 3–22. http://dx.doi.org/10.1177/0266382924234487.

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28

Damasevicius, Robertas. "Artificial Intelligence Techniques in Economic Analysis." Economic Analysis Letters 2, no. 2 (2023): 52–59. http://dx.doi.org/10.58567/eal02020007.

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This paper provides an overview of the existing literature on the use of artificial intelligence (AI) in various fields, including economics, finance, mining, manufacturing, and innovation. The paper identifies the drivers and effects of AI deployment in the context of innovation and highlights the challenges and opportunities that arise from the use of AI. The studies reviewed in this paper cover various topics related to forecasting, including the impact of AI on professional skills, hybrid forecasting techniques for predicting commodity prices, and novel deep reinforcement learning algorith

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29

Levan Gabisonia, Levan Gabisonia. "ARTIFICIAL INTELLIGENCE: THE NEW ECONOMIC FACTOR." Economics 106, no. 1-2 (2024): 11–15. http://dx.doi.org/10.36962/ecs106/1-2/2024-11.

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The advent of Artificial Intelligence (AI) marks a significant shift in the economic landscape, akin to major industrial revolutions of the past. This article explores AI's multifaceted impact on various economic sectors, asserting its role as a novel economic factor. AI's contribution to enhancing productivity and efficiency is emphasized, alongside its transformative effect in automating and optimizing processes across industries. The paper discusses AI's role in driving innovation, influencing labor markets, revolutionizing data analysis, reshaping market competition, and altering consumer

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30

Gaiser, Laris. "Economic Intelligence in the Slovenian Environment." Res novae: revija za celovito znanost 4, no. 1 (2019): 80–98. http://dx.doi.org/10.62983/rn2865.191.4.

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In a post-Cold War environment, countries live in a state of permanent confrontation. Political alliances are more and more fragile, and while countries have to compete every day on the global market in order to survive, only those with a structured system can prevail. Economic intelligence is the most advanced political and economic theory of state management, which also offers the framework for private-public cooperation. In defining economic intelligence and analysing some examples of structured foreign systems, this article aims to show that world countries in a globalized context can be c

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31

Asmyatullin, Ravil R., and Satsita S. Khasanova. "ARTIFICIAL INTELLIGENCE IN ECONOMIC PROCESS MANAGEMENT." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 12/18, no. 153 (2024): 125–29. https://doi.org/10.36871/ek.up.p.r.2024.12.18.018.

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Artificial intelligence (AI) plays a key role in changing the paradigm of economic management by offering innovative strategies for data analysis, predictive analytics, and deci-sion-making. This area allows you to automate repetitive tasks, increases the accuracy and read-iness of economic development plans, and also brings improvements to business processes. Ma-chine learning algorithms and tools for working with big data provide a breakthrough in identi-fying non-obvious patterns, thereby facilitating risk management and the desire to increase op-erational efficiency. The integration of AI

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32

Dr.A.Shaji, George. "Future Economic Implications of Artificial Intelligence." Partners Universal International Research Journal (PUIRJ) ISSN: 2583-5602 02, no. 03 (2023): 20–39. https://doi.org/10.5281/zenodo.8347639.

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The rise of artificial intelligence (AI) technology promises to substantially transform economies around the globe in the coming decades. This paper examines the likely economic impacts of advancing AI in areas such as jobs, business productivity, new markets, and policy challenges. It argues that while AI will displace many existing jobs through automation, it will also boost business productivity and lead to new products and markets that can expand opportunities. However, realizing the benefits of AI while mitigating downsides will require thoughtful policy responses. The paper first provide

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33

Pogosyan, Victoria V., and Svetlana V. Marchenko. "ARTIFICIAL INTELLIGENCE AS A TOOL OF ECONOMIC SECURITY OF AN ECONOMIC ENTITY." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 3/10, no. 156 (2025): 48–55. https://doi.org/10.36871/ek.up.p.r.2025.03.10.007.

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economic security of the state is the current state of the economy, which ensures sustainable development, protection from internal and external threats, as well as the ability to generate population and maintain the viability of the state. The economic security of an economic entity is characterized by its ability to effectively function and develop in conditions of uncertainty and risk, and to ensure the protection of its interests, assets and resources. The use of artificial intelligence (AI) has a great impact on the activities of an economic entity. The introduction of AI leads to increas

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34

Krykhovets-Khomyak, Lilia. "ECONOMICS OF INTELLIGENCE IN THE CONTEXT OF A TRANSDISCIPLINARY APPROACH." Economic Analysis, no. 32(3) (2022): 22–30. http://dx.doi.org/10.35774/econa2022.03.022.

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Introduction. The versatility of the components of the human intelligence system, applied aspects of the mechanisms of formation of activity behavior of the individual in terms of its economic choices are considered. Research methods. The basis of methodological research is the methods of empirical and theoretical research: the use of a systematic approach in the analysis of theoretical foundations and practice in the field of behavioral economics. To achieve this goal, the following research methods were used: system and logical analysis, the method of analogies, systematization and generaliz

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35

Al Dajeh, Bakhit Moh’d. "Artificial Intelligence Governance." Journal of Ecohumanism 3, no. 4 (2024): 300–313. http://dx.doi.org/10.62754/joe.v3i4.3515.

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Research on AI governance is important towards potentially useful and constraining affordable misuse, reduce new risks and economic trends that threaten to disrupt public political and economic trends, and drive off target as interest in advanced AI systems and the norms, focal points, and use of new AI research are potentially transformative and governance institutions aim to prevent. Potential public benefits from policy community re-using AI research are enormous, including reduced economic instability. A fundamental challenge in AI governance is a cognitive framing challenge: governing AI

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36

Lugachev, Mihail. "Information Revolutions, Economics and Economic Education." Moscow University Economics Bulletin 2017, no. 4 (2017): 142–60. http://dx.doi.org/10.38050/01300105201747.

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The concept of permanent revolution was formulated in the XIX century became a subject of constant debate in humanities circle. In contrast-scientific and technological revolutions are natural components at all steps of human development. Their permanence is commonly recognized imperative, followed by numerous confirmations with a convincing inevitability. Information and industrial revolutions taking place now in the world are such evidences. Experts declare today the fourth industrial revolution. Peter Drucker fairly predicted the fourth information revolution. It is interesting that the mos

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37

Muravska, Yuliia. "Theoretical and Conceptual Approaches to Defining the Concept of Economic Intelligence in the Ukrainian Scientific Practice." osteuropa recht 68, no. 4 (2022): 476–85. http://dx.doi.org/10.5771/0030-6444-2022-4-476.

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This contribution is dedicated to the study of theoretical and conceptual aspects of economic intelligence. The goal of the research is to theoretically define the notion of economic intelligence and categorize the forms of its implementation with regard to the wide range of tools used to obtain, process and analyze information. Since economic intelligence is a separate analytical phenomenon, the author focuses on a series of relevant research tasks that disclose the theoretical essence of such notions as “economic intelligence”, “competitive intelligence” and “industrial espionage” as well as

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38

Alekseeva, Victoria V. "The Use of Artificial Intelligence for Effectiveness Increase of Educational Process in Economic and Managerial Sphere." Science Outpost 18, no. 4 (2024): 10–15. https://doi.org/10.22394/sp244.02.

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The article reveals application aspects of artificial intelligence technologies in economic education. To identify various problems that arise when using artificial intelligence technologies in educational process, the results of online survey conducted among students and teachers of the Faculty of Economics of a regional university were used. The author identifies the advantages and disadvantages of introduction of artificial intelligence technologies in educational process in economic and managerial sphere. The author formulated possible effects of application of artificial intelligence tech

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39

Baltgailis, Jurijs, Anastasiia Simakhova, and Stanislavs Buka. "AI IN BANKING: SOCIO-ECONOMIC ASPECTS." Baltic Journal of Economic Studies 10, no. 3 (2024): 26–35. http://dx.doi.org/10.30525/2256-0742/2024-10-3-26-35.

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Artificial intelligence is revolutionising the banking sector, offering a range of benefits such as enhanced customer support, improved fraud detection and more informed decision-making. Banks are using AI technologies to optimise their operations, improve customer service, and proactively manage risks, leading to increased efficiency and productivity. The article is devoted to the issue of studying the use of artificial intelligence in the banking sector. The purpose of the article is to explore the potential of artificial intelligence for the banking sector. The article uses methods of data

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40

Gulina, O. V. "Artificial Intelligence in the Training of Economic Specialists." Digital Transformation 31, no. 2 (2025): 32–40. https://doi.org/10.35596/1729-7648-2025-31-2-32-40.

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The article considers the feasibility of studying artificial intelligence in economic universities of the Republic of Belarus. The prerequisites for studying artificial intelligence technologies are formulated. The rationale for the need to introduce topics related to both the theoretical foundations of artificial intelligence and its potential for practical application for solving applied problems in the field of economics and management into the content of training future specialists in economics is provided. Using the example of the specialty “Economics and Management” of the profile “Econo

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41

БОБРЫШЕВА, В. Е., А. В. МАГДА, and С. Н. КОСНИКОВ. "METHODS OF ARTIFICIAL INTELLIGENCE IN ECONOMIC ANALYSIS." Экономика и предпринимательство, no. 9(158) (November 18, 2023): 1046–49. http://dx.doi.org/10.34925/eip.2023.158.09.203.

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Финансы и экономика — лишь две из многих отраслей, на которые сильно повлияли искусственный интеллект (ИИ) и машинное обучение (МО). Эти технологии все чаще используются для улучшения экономического прогнозирования и анализа, что приводит к более точным прогнозам и принятию обоснованных решений. В этой статье мы исследуем растущее использование методов искусственного интеллекта и машинного обучения в экономическом анализе и прогнозировании, рассматривая такие вещи, как: обширные данные, методы прогнозирования, статистический анализ и применение алгоритмов машинного обучения. Математические про

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42

Lončar, Miloš. "Problems and Perspectives of Economic Intelligence Nowadays." Kultura polisa 19, no. 3 (2022): 110–30. http://dx.doi.org/10.51738/kpolisa2022.19.3r.110l.

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Acquiring knowledge, that is, finding the necessary information, leads to knowledge about the subject of interest. This creates the capability of moving towards the set goal, in every area of work, action and activity, both of the individual and of the organization which one belongs to, of any level, structure and form of organization (nation, state/country and other forms of social organizations). The genesis of the concept of business intelligence indicates that it has its source in the total awareness/intelligence, and as the result, purpose and product of the intelligence activity. Such ac

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43

Umah, Luluk Miratul, Mintasih Indriayu, and Aniek Hindrayani. "Pengaruh Kecerdasan Menghadapi Hambatan dan Kecerdasan Emosional Terhadap Prestasi Belajar Ekonomi Siswa." Jurnal Pendidikan Ekonomi (JUPE) 11, no. 3 (2023): 297–303. http://dx.doi.org/10.26740/jupe.v11n3.p297-303.

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This study aims to analyze the influence of adversity quotient and emotional intelligence in influencing economic achievement of high school students in Madiun City. This research is a quantitative descriptive research. The research subjects studied were high school students in Madiun City who received economics subjects totaling 302 respondents. Data collection technique using purposive random sampling technique. Research data was taken using a questionnaire which was carried out offline by visiting schools. Data analysis technique using multiple linear regression analysis. The research resul

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44

Starostina, Alla, Natalia Kochkina, and Carlo Adami. "Economic intelligence index and trade flow analysis." JOURNAL OF INTERNATIONAL STUDIES 15, no. 2 (2022): 9–23. http://dx.doi.org/10.14254/2071-8330.2022/15-2/1.

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The aim of the research is to explore the natural predisposition of the world’s nations to implement an effective and efficient Economic Intelligence strategy, through the calculation of an index that measures the country’s position in the network of international relations. Economic Intelligence is a new discipline introduced by scholars in order to support the national governments through new information bases designed to succeed in the complex economic environment following the development of globalization. Given that a central role in the international economic relations’ network provides

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45

Chander, Anupam, and Noelle Wurst. "Applying International Economic Law to Artificial Intelligence." Journal of International Economic Law 24, no. 4 (2021): 804–9. http://dx.doi.org/10.1093/jiel/jgab039.

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46

Hu, Ling, Zhaoyong Chen, and Zhao Chen. "Impact of Artificial Intelligence on Economic Development." Proceedings of Business and Economic Studies 4, no. 5 (2021): 71–77. http://dx.doi.org/10.26689/pbes.v4i5.2648.

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The economic growth pattern in China is changing from high-speed development to high-quality development. In order to promote high-quality economic development, it is necessary to promote the transformation and upgrading of all aspects of social reproduction. Artificial intelligence has promoted high-quality economic development in China from the aspects of innovation effect, technology spillover effect, factor improvement effect, and technology optimization effect. However, there are still several problems in China’s AI development, such as the lack of core technologies, privacy and security,

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47

Ruamviboonsuk, Paisan, Somporn Chantra, Kasem Seresirikachorn, Varis Ruamviboonsuk, and Sermsiri Sangroongruangsri. "Economic Evaluations of Artificial Intelligence in Ophthalmology." Asia-Pacific Journal of Ophthalmology 10, no. 3 (2021): 307–16. http://dx.doi.org/10.1097/apo.0000000000000403.

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48

Lin, Chien-An, and Timothy C. Bates. "Sophisticated deviants: Intelligence and radical economic attitudes." Intelligence 95 (November 2022): 101699. http://dx.doi.org/10.1016/j.intell.2022.101699.

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Boccio, Cashen M., and Kevin M. Beaver. "Psychopathic personality traits, intelligence, and economic success." Journal of Forensic Psychiatry & Psychology 26, no. 4 (2015): 551–69. http://dx.doi.org/10.1080/14789949.2015.1037330.

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Lin, W. M., F. S. Cheng, and M. T. Tsay. "Nonconvex Economic Dispatch by Integrated Artificial Intelligence." IEEE Power Engineering Review 21, no. 5 (2001): 64. http://dx.doi.org/10.1109/mper.2001.4311392.

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