Tendencies of Information Management Development in the Conditions of the Origin of a New Ecosystem of the Digital Economy

Sukhorukov, A. I.; Guo, Song; Koryagin, N. D.; Eroshkin, Sergey

doi:10.1109/mlsd.2018.8551859

Cited by 11 publications

(7 citation statements)

References 6 publications

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“…Various studies in the field of artificial intelligence (AI) lead to ambiguous conclusions, revealing the best and the worst human qualities [19]. In a number of studies, this issue is considered at the state level, studying the possibilities of human activity in the digital economy [20].…”

Section: B Modern Approaches Using Artificial Intelligence In Identimentioning

confidence: 99%

Using Natural and Artificial Intelligence in the Talent Management System

Vinichenko*¹,

Rybakova²,

Сhulanova³

et al. 2019

IJRTE

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Abstract: The article describes the nature of the use of natural and artificial intelligence in the talent management system in the Moscow Region. The extent of using talent management technology, the tools, the ratio of demand for natural and artificial intelligence in talent management, and the level of employee confidence in man (robot) in management are analyzed. It is revealed and substantiated that personnel management services and the management of companies do not effectively use natural intelligence in the framework of the talent management system, relying on chance and a typical approach. Ambiguity in the assessment of artificial intelligence by both employees and company management was revealed. Increased use and fears of the negative impact of artificial intelligence become opposing factors in talent management. It is proposed to quickly implement advanced technologies based on artificial intelligence, with no harm to the human and his potential. It is also proposed to constantly keep in focus the risks of intercepting initiatives in the management of artificial intelligence and the crowding out of a person from the labor market. The main advantage of the article is an integrated approach to the study of the pattern of using natural and artificial intelligence in the talent management system. The authors considered the issue of identifying the ratio of artificial and natural intelligence in talent management for the first time. The results can serve as a basis for further research in the system of human resource management, as well as good support for making management decisions in the implementation of artificial intelligence in business processes and organization management.

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Section: B Modern Approaches Using Artificial Intelligence In Identimentioning

confidence: 99%

Using Natural and Artificial Intelligence in the Talent Management System

Vinichenko*¹,

Rybakova²,

Сhulanova³

et al. 2019

IJRTE

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show abstract

“…However, with the development of the concept of the digital economy, decision support information systems have emerged that extrapolate from the set of statistical data the predictable optimal solution. For example, the investigated processes can be taken into account in GRC (Governance, Risk, Compliance) -systems of risk management and support of internal control systems (Fig.1) [2][3][4][5]. Such systems have proven themselves in information management (Fig.2).…”

Section: Resultsmentioning

confidence: 99%

“…Such systems have proven themselves in information management (Fig.2). [3] Currently, hundreds of legal expert systems based on artificial intelligence are successfully used in the world to emulate the work of an expert in decision-making. Legal expert systems have a different architecture, use databases to process and obtain expert knowledge on specific subjects in the legal field [6][7][8].…”

Section: Resultsmentioning

confidence: 99%

Management of taxation processes to stimulate rational use of natural resources in the electric power industry

et al. 2019

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“…In spite of fears, plenty of respondents expect help from artificial intelligence in developing their talents (63%). Taking into account the development of the digital economy [46], [47], one needs to stake on such people, reveal and use their talent. Organizations are involved in talent poaching to a varying degree and with different distribution of roles in this process.…”

Section: Discussionmentioning

confidence: 99%

Fostering Talented Employees' Loyalty in Circumstances Where Artificial Intelligence is Applied

Vinichenko*¹,

Сhulanova²,

Rybakova³

et al. 2019

IJRTE

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 Abstract: The article discusses the problem of fostering talented employees' loyalty in circumstances where artificial intelligence is applied. The intensification of competition under the conditions of another forthcoming economic crisis triggered the technological application of artificial intelligence with the conjoined fostering of talented employees' loyalty. The analysis of the results of the Google Form survey by the focus group has shown that a favorable environment prevails within organizations, which in general allows using talented employees' potential efficiently to the maximum possible extent. Discrimination, envy, and indifference of colleagues do not have that much effect on talented employees' loyalty. Creation of more favorable labor conditions for talented employees is contradictory and predetermines the discontent of other corporate employees, which may result in conflicts, the ethnic ones inclusive. The article presents the nature of the influence of artificial intelligence on talented employees' development for the first time. The majority of respondents regard this effect as a positive one (63%). The originality of the research lies in revealing the character of relations between the leaders of natural intelligencetalented employeesand artificial intelligence. This study may form the basis for reducing risks while working with talented employees in conditions where artificial intelligence is applied.

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Tendencies of Information Management Development in the Conditions of the Origin of a New Ecosystem of the Digital Economy

Cited by 11 publications

References 6 publications

Using Natural and Artificial Intelligence in the Talent Management System

Using Natural and Artificial Intelligence in the Talent Management System

Management of taxation processes to stimulate rational use of natural resources in the electric power industry

Fostering Talented Employees' Loyalty in Circumstances Where Artificial Intelligence is Applied

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