Journal articles on the topic 'BE. Information economics'

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1

Lugachev, Mihail. "Information Revolutions, Economics and Economic Education." Moscow University Economics Bulletin 2017, no. 4 (August 31, 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 most important trait of both revolutions is the artificial intelligence which functions in the sphere of Big Data and Internet of Things. The application field (not the only) is the economy-its structure and content. Experts state the emergence of information capitalism and the information economy — innovations obtaining special and revolutional traits. The article is devoted to analysis of main components of the innovations and offers the ways how they should be reflected in the curriculum for modern economists and managers.
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2

Jensen, Jesper Bo. "Information Economics." Biblioteksarbejde, no. 37 (June 13, 2018): 68–71. http://dx.doi.org/10.7146/bibarb.v0i37.106237.

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3

Kamenica, Emir. "Information Economics." Journal of Political Economy 125, no. 6 (December 2017): 1885–90. http://dx.doi.org/10.1086/694628.

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4

Hrubý, J. "Nutrition economics – important source of information." Agricultural Economics (Zemědělská ekonomika) 48, No. 4 (February 29, 2012): 183–88. http://dx.doi.org/10.17221/5301-agricecon.

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5

Egbert, Henrik, Teodor Sedlarski, and Alexander B. Todorov. "FOUNDATIONS OF CONTEMPORARY ECONOMICS: GEORGE STIGLER AND THE CHICAGO SCHOOL OF ECONOMICS – ON PRICE THEORY AND INFORMATION ECONOMICS." Economic Thought journal 67, no. 4 (October 11, 2022): 452–72. http://dx.doi.org/10.56497/etj2267403.

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George Josef Stigler is known as the scientist who strongly influenced the formation of the Chicago School of Economics. He promoted the idea of expanding price theory beyond the boundaries of economics and developed it into a universal model for the analysis of human behaviour, known as the economic approach to human behaviour. His research inspired the Public Choice literature and the Economic Theory of Law. Besides, Stigler made numerous contributions which nowadays are integral parts of economic theory. In this essay we summarize some of Stigler’s outstanding contributions, particularly his work on information economics and the economic theory of regulation.
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6

Stiglitz, J. E. "Economics of information and the theory of economic development." Brazilian Review of Econometrics 5, no. 1 (April 1, 1985): 7. http://dx.doi.org/10.12660/bre.v5n11985.3129.

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7

Fortunato, David, Clint S. Swift, and Laron K. Williams. "All Economics is Local: Spatial Aggregations of Economic Information." Political Science Research and Methods 6, no. 3 (June 20, 2016): 467–87. http://dx.doi.org/10.1017/psrm.2016.26.

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National economic indicators play a foundational role in political economic research, particularly in regards to electoral politics. Yet, scholars have failed to recognize that national economic indicators are simply aggregations of local economic information, and the manner in which they are aggregated may not be consistent with the process voters use to acquire, access, and incorporate economic information. We argue that the economic similarities among localities, and the way in which the media report on these similarities, provide more theoretically satisfying means of specifying how local information aggregates into an overall portrait of the national economy. We introduce a novel estimation procedure called the spatial-X ordered logit that offers the chance to model how voters’ evaluations respond to changes in contextualized economic information. Our results support our theory that voters incorporate economic information from other localities with similarly structured economies and in ways that are shaped by media messages. Furthermore, these two specifications offer greater explanatory power than national indicators and other geographical means of aggregating economic information. We conclude by offering a number of implications for research questions ranging from electoral accountability to spatial diffusion processes.
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8

Udriste, Constantin, and Ionel Tevy. "Information Geometry in Roegenian Economics." Entropy 24, no. 7 (July 5, 2022): 932. http://dx.doi.org/10.3390/e24070932.

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We characterise the geometry of the statistical Roegenian manifold that arises from the equilibrium distribution of an income of noninteracting identical economic actors. The main results for ideal income are included in three subsections: partition function in distribution, scalar curvature, and geodesics. Although this system displays no phase transition, its analysis provides an enlightening contrast with the results of Van der Waals Income in Roegenian Economics, where we shall examine the geometry of the economic Van der Waals income, which does exhibit a “monetary policy as liquidity—income” transition. Here we focus on three subsections: canonical partition function, economic limit, and information geometry of the economic Van der Waals manifold.
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9

Fuhr, Joseph P., M. Jussawalla, and H. Ebenfield. "Communication and Information Economics." Southern Economic Journal 52, no. 2 (October 1985): 571. http://dx.doi.org/10.2307/1059653.

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10

Potts, Jason. "ThePrometheusschool of information economics." Prometheus 21, no. 4 (December 2003): 477–86. http://dx.doi.org/10.1080/0810902032000144673.

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11

Sullivan, B. C. "Economics of Information Technology." International Journal of Social Economics 12, no. 1 (January 1985): 37–53. http://dx.doi.org/10.1108/eb013983.

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12

Noll, Roger. "The Economics of Information." Journal of Library Administration 26, no. 1-2 (January 14, 1999): 47–55. http://dx.doi.org/10.1300/j111v26n01_07.

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13

Kauffman, Robert J., and Frederick J. Riggins. "Information systems and economics." Communications of the ACM 41, no. 8 (August 1998): 32–34. http://dx.doi.org/10.1145/280324.280329.

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14

Frieden, B. Roy, and Raymond J. Hawkins. "Asymmetric information and economics." Physica A: Statistical Mechanics and its Applications 389, no. 2 (January 2010): 287–95. http://dx.doi.org/10.1016/j.physa.2009.09.028.

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15

Eldredge, N. "Information, Economics, and Evolution." Annual Review of Ecology and Systematics 17, no. 1 (November 1986): 351–69. http://dx.doi.org/10.1146/annurev.es.17.110186.002031.

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16

Schwuchow, Werner. "Economics of information technologies." Journal of Information Science 15, no. 6 (December 1989): 373–76. http://dx.doi.org/10.1177/016555158901500611.

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17

Lamberton, Don. "Information economics: research strategies." International Journal of Social Economics 25, no. 2/3/4 (March 1998): 338–56. http://dx.doi.org/10.1108/03068299810193498.

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18

Veryard, R. "Information and software economics." Information and Software Technology 31, no. 5 (June 1989): 226–30. http://dx.doi.org/10.1016/0950-5849(89)90001-3.

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19

Wellenius, Björn, and Timothy Nulty. "Communication and information economics." Telecommunications Policy 10, no. 1 (March 1986): 71–72. http://dx.doi.org/10.1016/0308-5961(86)90012-1.

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20

Perrow, D. "Information sources in economics." International Journal of Information Management 6, no. 1 (March 1986): 54–55. http://dx.doi.org/10.1016/0268-4012(86)90057-5.

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21

Haaland, Ingar, Christopher Roth, and Johannes Wohlfart. "Designing Information Provision Experiments." Journal of Economic Literature 61, no. 1 (March 1, 2023): 3–40. http://dx.doi.org/10.1257/jel.20211658.

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Information provision experiments allow researchers to test economic theories and answer policy-relevant questions by varying the information set available to respondents. We survey the emerging literature using information provision experiments in economics and discuss applications in macroeconomics, finance, political economy, public economics, labor economics, and health economics. We also discuss design considerations and provide best-practice recommendations on how to (i) measure beliefs; (ii) design the information intervention; (iii) measure belief updating; (iv) deal with potential confounds, such as experimenter demand effects; and (v) recruit respondents using online panels. We finally discuss typical effect sizes and provide sample size recommendations.(JEL C90, D83, D91)
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22

Lester, Stephanie. "Information Economics: linking business performance to information technology." Journal of Information Technology 5, no. 1 (March 1990): 55–58. http://dx.doi.org/10.1057/jit.1990.13.

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23

Kamenica, Emir. "Bayesian Persuasion and Information Design." Annual Review of Economics 11, no. 1 (August 2, 2019): 249–72. http://dx.doi.org/10.1146/annurev-economics-080218-025739.

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A school may improve its students’ job outcomes if it issues only coarse grades. Google can reduce congestion on roads by giving drivers noisy information about the state of traffic. A social planner might raise everyone's welfare by providing only partial information about solvency of banks. All of this can happen even when everyone is fully rational and understands the data-generating process. Each of these examples raises questions of what is the (socially or privately) optimal information that should be revealed. In this article, I review the literature that answers such questions.
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24

Bergemann, Dirk, and Alessandro Bonatti. "Markets for Information: An Introduction." Annual Review of Economics 11, no. 1 (August 2, 2019): 85–107. http://dx.doi.org/10.1146/annurev-economics-080315-015439.

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We survey a recent and growing literature on markets for information. We offer a comprehensive view of information markets through an integrated model of consumers, information intermediaries, and firms. The model embeds a large set of applications ranging from sponsored-search advertising to credit scores to information sharing among competitors. We then zoom in to one of the critical elements in the markets for information: the design of the information. We distinguish between ex ante sales of information (the buyer acquires an information structure) and ex post sales (the buyer pays for specific realizations). We relate this distinction to the different products that brokers, advertisers, and publishers use to trade consumer information online. We discuss the endogenous limits to the trade of information that derive from the potential adverse use of information to the consumers. Finally, we discuss recommender systems and other information filtering systems that use artificial intelligence to predict ratings or preferences in markets for indirect information.
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25

Caccioli, Fabio, and Matteo Marsili. "Information Efficiency and Financial Stability." Economics: The Open-Access, Open-Assessment E-Journal 4, no. 2010-20 (2010): 1. http://dx.doi.org/10.5018/economics-ejournal.ja.2010-20.

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26

Antonelli, Cristiano. "Information Economics and Industrial Organization." Human Systems Management 11, no. 2 (1992): 53–60. http://dx.doi.org/10.3233/hsm-1992-11203.

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27

Dolton, Peter J., and Louis Phlips. "The Economics of Imperfect Information." Economica 58, no. 229 (February 1991): 126. http://dx.doi.org/10.2307/2554982.

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28

Chalkley, Martin, and Louis Phlips. "The Economics of Imperfect Information." Economic Journal 100, no. 402 (September 1990): 961. http://dx.doi.org/10.2307/2233673.

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29

Parker, Marilyn M., and Robert J. Benson. "Enterprisewide Information Economics: Latest Concepts." Journal of Information Systems Management 6, no. 4 (January 1989): 7–13. http://dx.doi.org/10.1080/07399018908960166.

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30

Lewis, T. "The new economics of information." IEEE Internet Computing 2, no. 5 (1998): 93–94. http://dx.doi.org/10.1109/4236.722237.

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31

Cochrane, Tom. "The Economics of Scholarly Information." Australian & New Zealand Journal of Serials Librarianship 3, no. 2 (June 28, 1993): 17–30. http://dx.doi.org/10.1300/j252v03n02_03.

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32

Coiera, E. "Information Economics and the Internet." Journal of the American Medical Informatics Association 7, no. 3 (May 1, 2000): 215–21. http://dx.doi.org/10.1136/jamia.2000.0070215.

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33

Payne, Thomas H., David W. Bates, Eta S. Berner, Elmer V. Bernstam, H. Dominic Covvey, Mark E. Frisse, Thomas Graf, et al. "Healthcare information technology and economics." Journal of the American Medical Informatics Association 20, no. 2 (March 2013): 212–17. http://dx.doi.org/10.1136/amiajnl-2012-000821.

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34

Yang, Jangho. "INFORMATION THEORETIC APPROACHES IN ECONOMICS." Journal of Economic Surveys 32, no. 3 (September 15, 2017): 940–60. http://dx.doi.org/10.1111/joes.12226.

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35

Anderson, R., and T. Moore. "The Economics of Information Security." Science 314, no. 5799 (October 27, 2006): 610–13. http://dx.doi.org/10.1126/science.1130992.

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36

Braunstein, Yale M. "The economics of information networks." Information Economics and Policy 5, no. 4 (December 1993): 357–60. http://dx.doi.org/10.1016/0167-6245(93)90006-3.

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37

Lindsey, Robin. "The economics of imperfect information." Journal of Economic Behavior & Organization 14, no. 2 (October 1990): 292–94. http://dx.doi.org/10.1016/0167-2681(90)90082-o.

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38

Swann, Peter. "The economics of information networks." Research Policy 23, no. 2 (March 1994): 233–34. http://dx.doi.org/10.1016/0048-7333(94)90057-4.

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39

Krijgsman, C. "The economics of information technology." European Journal of Operational Research 29, no. 2 (May 1987): 215–16. http://dx.doi.org/10.1016/0377-2217(87)90117-2.

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40

Fraser, Clive D. "The economics of information networks." International Journal of Industrial Organization 11, no. 2 (June 1993): 296–97. http://dx.doi.org/10.1016/0167-7187(93)90011-z.

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41

Wurth, Albert H. "Policy information or information policy? information types in economics and policy." Knowledge and Policy 5, no. 4 (December 1992): 65–81. http://dx.doi.org/10.1007/bf02692776.

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42

Brooks, Terrence A. "The economics of information: A guide to economic and cost-benefit analysis for information professionals." Journal of Academic Librarianship 23, no. 1 (January 1997): 54. http://dx.doi.org/10.1016/s0099-1333(97)90077-x.

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43

Snyder, Herbert. "The economics of information: A guide to economic and cost-benefit analysis for information professionals." Journal of the American Society for Information Science 49, no. 4 (1998): 382–83. http://dx.doi.org/10.1002/(sici)1097-4571(19980401)49:4<382::aid-asi10>3.0.co;2-z.

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44

Snyder, Herbert. "The economics of information: A guide to economic and cost‐benefit analysis for information professionals." Journal of the American Society for Information Science 49, no. 4 (April 1, 1998): 382–83. http://dx.doi.org/10.1002/(sici)1097-4571(19980401)49:4<382::aid-asi10>3.3.co;2-q.

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45

Wiseman, Devra. "Information Economics: a practical approach to valuing information systems." Journal of Information Technology 7, no. 3 (September 1992): 169–76. http://dx.doi.org/10.1057/jit.1992.23.

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46

Wiseman, Devra. "Information Economics: A Practical Approach to Valuing Information Systems." Journal of Information Technology 7, no. 3 (September 1992): 169–76. http://dx.doi.org/10.1177/026839629200700306.

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This paper describes an approach to analysing the value of information systems to an enterprise, and the risks that the value will not be realised. The approach is called Information Economics (IE). A key use is to prioritize investments in information systems. It brings together business and technology managers, by providing, at one level, a tool they can use for scoring systems. At another level, it offers a decision-making process that provides a number of key benefits, such as improved communications. Two case studies, from the public and private sectors, show two different, practical uses of the Information Economics approach, and how it can be adapted to different organizations.
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47

Christy, Ralph D. "“Economic Correctness” and Agricultural Economics." Journal of Agricultural and Applied Economics 25, no. 1 (July 1993): 1–13. http://dx.doi.org/10.1017/s1074070800018551.

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AbstractThis address is directed toward applied economists as they provide information to private and public decision makers. Central to this discussion is the role of markets as institutions in achieving society's desired ends. Current “economic correctness”–the view that unfettered markets are superior in achieving efficiency, growth, and welfare-has attempted to return a larger role to the private sector, but the relative roles of market-oriented versus government-oriented solutions to problems are often not well appraised. Views presented herein calls for agricultural economists to move simultaneously toward an understanding of the strategic behavior of firms in imperfectly competitive markets and toward an adoption of policy analysis consistent with a socially complex and globally integrated economy.
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48

Varian, Hal R., and Jean-Jacques Laffont. "The Economics of Uncertainty and Information." Journal of Finance 45, no. 2 (June 1990): 704. http://dx.doi.org/10.2307/2328683.

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49

Wang, Heng. "The Economics of Information Security Investment." Advanced Materials Research 219-220 (March 2011): 1550–53. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.1550.

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Information security is a continuously changing discipline that requires continuous adaptation to new and ever-changing information security threats, countermeasures and the global business landscape. This calls for decision makers to become vigilant in their spending and move towards an optimised information security investment. This paper gives a brief overview on the economics of information security and discusses related work on information security investment. The main aim of this paper is to provide decision makers with a set of requirements to be considered when implementing a cost-effective and optimal information security budget; in a manner that preserve organisations’ information security posture and compliance status.
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50

Zeleny, Milan. "Information Economics and Design of Organizations." Human Systems Management 11, no. 2 (1992): 49–50. http://dx.doi.org/10.3233/hsm-1992-11201.

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