FUNCTIONS AND MODES OFINFORMATION DEVELOPMENT OF ECONOMY: METHODS AND MODELS

O. Sukharev
{"title":"FUNCTIONS AND MODES OFINFORMATION DEVELOPMENT OF ECONOMY: METHODS AND MODELS","authors":"O. Sukharev","doi":"10.17072/1994-9960-2019-2-198-217","DOIUrl":null,"url":null,"abstract":"Informatization intensification of the modern economy stresses the importance to discuss the following group of issues: 1) the establishment of criteria and measurement of the effectiveness of the information system; 2) the definition of the information potential of the agent and the assessment of effective information action; 3) information security of the social and economic system. The purpose of the study is to analyze theoretically the functions of various types of information with the determination of the efficiency of information and the modes of economic systems information development. Economic agents are known to search for relevant information that is only a part of total information in the system to make efficient decisions. The action of an agent as well as the development of an economic system is generally characterised with an efficiency coefficient that assesses the opportunity to obtain relevant information. The research methodology is the classification method that allows us to highlight the properties of information, to introduce quantitative indicators for measuring these properties and using mathematical tools to determine possible relationships between them, building theoretical models of the dynamics of information development of economy. Using this approach the functions of information, namely, notification, accumulation, cumulative amplification within the framework of consideration of the informational interaction schemes “object-agent” and “agent-agent” have been determined. The criterion of information potential of the controlled system and the information efficiency coefficient have been introduced. The latter means the ratio of information security to the level of information completeness of the system. Using the analysis of the dynamics of the efficiency and the ratio of relevant and general information, the modes of information development of the controlled system have been determined; three options for the accumulation of information with the ability to quantify the effect that determines the development of the knowledge economy have been suggested. Standard, enhanced and storage accumulations have been shown in the framework of the “object-agent” information interaction model, formal parameters for their quantitative assessment have been introduced. We have proved that one of the goals of economic policy should be the insurance of the necessary regime of information development of the economy, that is aimed at solving problems in the field of information security due to the fact that the functions of information can be violated, i. e. performed with different results, which indicates the dysfunction of the information system and economic management. Such the approach will reduce the depth of dysfunctions of economic policy measures and the application of the information security loop proposed by the author will provide the tool for comparing the damage and benefits from possible information threats, which predetermines the practical application of the conducted theoretical analysis applied to different information modes. Sustainable development of the modern economy should consider the elimination of information threats especially in the context of overcoming opportunism in the form of deliberate distortions of information in order to obtain additional benefits. At the same time, the use of the information security loop for the development of economic policy measures will allow not only to diagnose the damage and benefits within the existing information processing regime, but also to identify the dynamics of the economic system development as a result of changes in the ratio of information benefits and costs. \nKeywords \ninformation, informatization of economy, information potential of economy, function of information, information development mode, information interaction models, information security of economy, combinatory principle, information security loop, dysfunction of information system, dysfunction of economic policy. \nReferences \n1. Thomas H. Powerful knowledge, technology and education in the future-focused good society. Technology in Science, 2018, no. 52, pp. 54–59.2. Kianto A., Saenz J., Aramburu N. Knowledge-based human resource management, intellectual capital and innovation. Journal of Business Research, 2017, vol. 81, pp. 11–20.3. Shujahat M., Sousa M.J., Hussain S., Nawaz F., Wang M., Umer M. Translating the impact of knowledge management processes into knowledge-based innovation: The neglected and mediating role of knowledge-worker productivity. Journal of Business Research, 2019, vol. 94, pp. 442–450. doi: https://doi.org/10.1016/j.jbusres.2017.11.001.4. Liebowitz J. Successes and failures of knowledge management. 1st ed. Elsevier, Morgan Kaufmann Publ., 2016. 240 p. 5. Tarango J., Machin-Mastromatteo J. The role of information professionals in the knowledge economy. Skills, profile and a model for supporting scientific production and communication. 1st ed. Oxford, Chandos Publ., 2017. 148 p.6. Porrini P., Starbuck W.H. Information and knowledge, Organizational. In Book: International Encyclopedia of the Social and Behavioral Sciences (2nd ed.). 2015, pp. 72–76. doi: https://doi.org/10.1016/B978-0-08-097086-8.73074-1.7. Du K., Dai Y. The doctrine of the mean: Reference groups and public information systems development. The Journal of Strategic Information Systems, 2018, vol. 27, iss. 3, pp. 257–273.8. Cram W., Brohman M.K., Chan Y.E., Gallupe R.B. Information systems control alignment: Complementary and conflicting systems development controls. Information and Management, 2016, vol. 53, iss. 2, pp. 183–196.9. Al-Emran M., Mezhuyev V., Kamaludin A., Shaalan K. The impact of knowledge management processes on information systems: A systematic review. International Journal of Information Management, 2018, no. 43, pp. 173–187.10. Costa E., Soares A.L, Pinho de Sousa J. Information, knowledge and collaboration management in the internationalisation of SMEs: A systematic literature review. International Journal of Information Management, 2016, vol. 36, no. 4, pp. 557–569.11. Hilbert M. Formal definitions of information and knowledge and their role in growth through structural change. Structural Change and Economic Dynamics, 2016, vol. 38, pp. 69–82.12. Temel T., Karimov F. Information systems model for targeting policies: A graph-theoretic analysis of expert knowledge. Expert Systems with Applications, 2019, vol. 119, pp. 400–414.13. Flowerday S.V., Tuyikeze T. Information security policy development and implementation: The what, how and who. Computers and Security, 2016, no. 61, pp. 169–183.14. Machlup F. Knowledge: Its creation, distribution, and economic significance. NJ, Princeton University Press, 1982. 304 p.15. Porat M.U. The information economy: Definition and measurement. Washington, DC, US Department of Commerce, 1977. 319 p.16. Stigler G.J. The economics of information. Journal of Political Economy, 1961, vol. 69, no. 3, pp. 213–225.17. Stiglitz J. Economic organization, information, and development. In Book: Handbook of Development Economics. Vol. 1, 1st ed. Chenery H., Strinivasan T.N. (eds.). 1988, pp. 93–160.18. Sukharev O.S. Informatsionnaya ekonomika: znanie, konkurentsiya i rost [Information economy: Knowledge, competition and growth]. Moscow, Finansy i statistika Publ., 2015. 287 p. (In Russian).19. Andress J. The Basics of information security. Understanding the fundamentals of InfoSec in theory and practice. 2nd ed. Syngress, 2014. 240 p.20. Iannarelli J., O’Shaughnessy M. Information governance and security. Protecting and managing your company’s proprietary information. 1st ed. Elsevier, Butterworth-Heinemann Publ., 2014. 210 p.21. Vacca J. Managing information security. 2nd ed. Syngress, 2013. 372 p.22. Breznik K. Knowledge management – from its inception to the innovation linkage. Procedia – Social and Behavioral Sciences, 2018, no. 238, pp. 141–148.23. Freund J., Jones J. Measuring and managing information risk. A FAIR approach. 1st Ed. Elsevier, Butterworth-Heinemann Publ., 2014. 408 p.","PeriodicalId":33041,"journal":{"name":"Vestnik Permskogo universiteta Seriia Ekonomika","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vestnik Permskogo universiteta Seriia Ekonomika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17072/1994-9960-2019-2-198-217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Informatization intensification of the modern economy stresses the importance to discuss the following group of issues: 1) the establishment of criteria and measurement of the effectiveness of the information system; 2) the definition of the information potential of the agent and the assessment of effective information action; 3) information security of the social and economic system. The purpose of the study is to analyze theoretically the functions of various types of information with the determination of the efficiency of information and the modes of economic systems information development. Economic agents are known to search for relevant information that is only a part of total information in the system to make efficient decisions. The action of an agent as well as the development of an economic system is generally characterised with an efficiency coefficient that assesses the opportunity to obtain relevant information. The research methodology is the classification method that allows us to highlight the properties of information, to introduce quantitative indicators for measuring these properties and using mathematical tools to determine possible relationships between them, building theoretical models of the dynamics of information development of economy. Using this approach the functions of information, namely, notification, accumulation, cumulative amplification within the framework of consideration of the informational interaction schemes “object-agent” and “agent-agent” have been determined. The criterion of information potential of the controlled system and the information efficiency coefficient have been introduced. The latter means the ratio of information security to the level of information completeness of the system. Using the analysis of the dynamics of the efficiency and the ratio of relevant and general information, the modes of information development of the controlled system have been determined; three options for the accumulation of information with the ability to quantify the effect that determines the development of the knowledge economy have been suggested. Standard, enhanced and storage accumulations have been shown in the framework of the “object-agent” information interaction model, formal parameters for their quantitative assessment have been introduced. We have proved that one of the goals of economic policy should be the insurance of the necessary regime of information development of the economy, that is aimed at solving problems in the field of information security due to the fact that the functions of information can be violated, i. e. performed with different results, which indicates the dysfunction of the information system and economic management. Such the approach will reduce the depth of dysfunctions of economic policy measures and the application of the information security loop proposed by the author will provide the tool for comparing the damage and benefits from possible information threats, which predetermines the practical application of the conducted theoretical analysis applied to different information modes. Sustainable development of the modern economy should consider the elimination of information threats especially in the context of overcoming opportunism in the form of deliberate distortions of information in order to obtain additional benefits. At the same time, the use of the information security loop for the development of economic policy measures will allow not only to diagnose the damage and benefits within the existing information processing regime, but also to identify the dynamics of the economic system development as a result of changes in the ratio of information benefits and costs. Keywords information, informatization of economy, information potential of economy, function of information, information development mode, information interaction models, information security of economy, combinatory principle, information security loop, dysfunction of information system, dysfunction of economic policy. References 1. Thomas H. Powerful knowledge, technology and education in the future-focused good society. Technology in Science, 2018, no. 52, pp. 54–59.2. Kianto A., Saenz J., Aramburu N. Knowledge-based human resource management, intellectual capital and innovation. Journal of Business Research, 2017, vol. 81, pp. 11–20.3. Shujahat M., Sousa M.J., Hussain S., Nawaz F., Wang M., Umer M. Translating the impact of knowledge management processes into knowledge-based innovation: The neglected and mediating role of knowledge-worker productivity. Journal of Business Research, 2019, vol. 94, pp. 442–450. doi: https://doi.org/10.1016/j.jbusres.2017.11.001.4. Liebowitz J. Successes and failures of knowledge management. 1st ed. Elsevier, Morgan Kaufmann Publ., 2016. 240 p. 5. Tarango J., Machin-Mastromatteo J. The role of information professionals in the knowledge economy. Skills, profile and a model for supporting scientific production and communication. 1st ed. Oxford, Chandos Publ., 2017. 148 p.6. Porrini P., Starbuck W.H. Information and knowledge, Organizational. In Book: International Encyclopedia of the Social and Behavioral Sciences (2nd ed.). 2015, pp. 72–76. doi: https://doi.org/10.1016/B978-0-08-097086-8.73074-1.7. Du K., Dai Y. The doctrine of the mean: Reference groups and public information systems development. The Journal of Strategic Information Systems, 2018, vol. 27, iss. 3, pp. 257–273.8. Cram W., Brohman M.K., Chan Y.E., Gallupe R.B. Information systems control alignment: Complementary and conflicting systems development controls. Information and Management, 2016, vol. 53, iss. 2, pp. 183–196.9. Al-Emran M., Mezhuyev V., Kamaludin A., Shaalan K. The impact of knowledge management processes on information systems: A systematic review. International Journal of Information Management, 2018, no. 43, pp. 173–187.10. Costa E., Soares A.L, Pinho de Sousa J. Information, knowledge and collaboration management in the internationalisation of SMEs: A systematic literature review. International Journal of Information Management, 2016, vol. 36, no. 4, pp. 557–569.11. Hilbert M. Formal definitions of information and knowledge and their role in growth through structural change. Structural Change and Economic Dynamics, 2016, vol. 38, pp. 69–82.12. Temel T., Karimov F. Information systems model for targeting policies: A graph-theoretic analysis of expert knowledge. Expert Systems with Applications, 2019, vol. 119, pp. 400–414.13. Flowerday S.V., Tuyikeze T. Information security policy development and implementation: The what, how and who. Computers and Security, 2016, no. 61, pp. 169–183.14. Machlup F. Knowledge: Its creation, distribution, and economic significance. NJ, Princeton University Press, 1982. 304 p.15. Porat M.U. The information economy: Definition and measurement. Washington, DC, US Department of Commerce, 1977. 319 p.16. Stigler G.J. The economics of information. Journal of Political Economy, 1961, vol. 69, no. 3, pp. 213–225.17. Stiglitz J. Economic organization, information, and development. In Book: Handbook of Development Economics. Vol. 1, 1st ed. Chenery H., Strinivasan T.N. (eds.). 1988, pp. 93–160.18. Sukharev O.S. Informatsionnaya ekonomika: znanie, konkurentsiya i rost [Information economy: Knowledge, competition and growth]. Moscow, Finansy i statistika Publ., 2015. 287 p. (In Russian).19. Andress J. The Basics of information security. Understanding the fundamentals of InfoSec in theory and practice. 2nd ed. Syngress, 2014. 240 p.20. Iannarelli J., O’Shaughnessy M. Information governance and security. Protecting and managing your company’s proprietary information. 1st ed. Elsevier, Butterworth-Heinemann Publ., 2014. 210 p.21. Vacca J. Managing information security. 2nd ed. Syngress, 2013. 372 p.22. Breznik K. Knowledge management – from its inception to the innovation linkage. Procedia – Social and Behavioral Sciences, 2018, no. 238, pp. 141–148.23. Freund J., Jones J. Measuring and managing information risk. A FAIR approach. 1st Ed. Elsevier, Butterworth-Heinemann Publ., 2014. 408 p.
经济信息化发展的功能与模式:方法与模型
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