Sustainable development of organizations based on the combinatorial model of artificial intelligence

Kuzior, Aleksandra; Kwiliński, Aleksy; Ткаченко, В. Г.

doi:10.9770/jesi.2019.7.2(39)

Cited by 98 publications

(49 citation statements)

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“…Among the scientists whose work, in the authors' opinion, are devoted to the problems of this article and deserve some attention, it would like to note the following authors: [1,2,3,4,5,6,7,8,10,11,12,13] and many others. The findings proved that scientific community around the world analysed the cognitive technologies and innovations in management from the different points of views: entrepreneurial activity [14]; macroeconomic stability and social progress [15,16,17]; artificial intelligence and new technologies [18,19,20,21,22,23,24,25]. Today, the digital economy is actively developing, and in the next few years it will be the most important engine of innovation, competitiveness and economic growth in the world [12,14,15,16,17,26].…”

Section: Literature Reviewmentioning

confidence: 79%

Cognitive Technologies in the Management and Formation of Directions of the Priority Development of Industrial Enterprises

Kwiliński

Kuzior

2020

Management Systems in Production Engineering

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107

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AbstractThe possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of “bottlenecks” in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.

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Section: Literature Reviewmentioning

confidence: 79%

Cognitive Technologies in the Management and Formation of Directions of the Priority Development of Industrial Enterprises

Kwiliński

Kuzior

2020

Management Systems in Production Engineering

Self Cite

107

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“…Following each researcher's point of analysis, digital economy and its competitiveness have been examined through information economy (Elsner et al 2015;Sun et al 2017;Trushkina 2019), implementation of the digital market (Gupta and Bose 2019; Lutz 2019), Industry 4.0 (Dzwigoł et al 2020; Hubert Backhaus and Nadarajah 2019; Kumar and Kumar 2019;Lenart-Gansiniec 2019;Sanghavi et al 2019;Vrchota et al 2019; Zupan Korže 2019) and new sources of gaining competitive advantage (Hoła et al 2015;Kuzior et al 2019;Miśkiewicz 2019;Shank and Gott 2019;Zhao et al 2019). Such aspects, as well as many others related to digital competitiveness, have been used in competitiveness rankings (IMD 2018;WEF 2018) and the formation of the Digital Transformation Scoreboard developed by the European Union (EC 2018).…”

Section: ) •mentioning

confidence: 99%

Digital Competitiveness in the European Union Era: The Greek Case

2020

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Digital competitiveness is gaining more and more attention as a source of competitive advantage at the business and national economies levels. Digital economy performance is a matter of national strategies for achieving economic growth and socioeconomic development. Widely accepted instruments for reporting progress in these areas have been recently developed, including the Digital Economy and Society Index (DESI index). The current study aims to use the DESI index and its five dimensions (namely Connectivity, Human Capital, Use of Internet Services, Integration of Digital Technology and Digital Public Services) not only as a tool for recognizing the current state, but also to forecast progress under the Greek economic environment. The Gompertz model was used as a methodological tool and it is valuable that a diffusion model has been implemented on a composite index related to countries’ digital competitiveness. Moreover, the results reveal the areas where convergencies and divergencies exist between Greece and the rest of the EU-28 member states, while forecast permits one to evaluate how current policies have a significant impact on digital competitiveness. Results indicate that Greece is facing significant challenges as a result of the low state of digitization, coming from both the demand side (businesses that consume internet services) and the offer side (institutional and governmental constraints). The proposed results could be used in order to readjust existing policies and to spot aspects where further improvement is needed to achieve high standards of digital competitiveness.

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“…Also, there are ethical questions that organizations need to answer, like choosing between implementing an AI system in a certain data processing department or keeping 20 people hired to do the same job (even though the AI system has better perspectives). These are really hard questions to figure out by corporations all over the world, questions the answer of which could have long-term repercussions on the organization well-being (Kuzior et al, 2019).…”

Section: Problem Statementmentioning

confidence: 99%

Organizational Knowledge Sharing Overview - Early 2020s Assessment

2020

Proceedings of the International Conference on Economics and Social Sciences

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Sustainable development of organizations based on the combinatorial model of artificial intelligence

Cited by 98 publications

References 0 publications

Cognitive Technologies in the Management and Formation of Directions of the Priority Development of Industrial Enterprises

Cognitive Technologies in the Management and Formation of Directions of the Priority Development of Industrial Enterprises

Digital Competitiveness in the European Union Era: The Greek Case

Organizational Knowledge Sharing Overview - Early 2020s Assessment

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