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The development of technological support organizations as an indicator of management efficiency

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Języki publikacji
EN
Abstrakty
EN
The article is devoted to analyzing the need for managers to spend money on developing technological support for organizations to achieve strategic goals. The impact of technologies in various sectors of organizations' activity on the effectiveness of organizational systems is considered. The work examines the activity of Ukrainian profitable and non-profit organizations on the influence of the level of technologicalization of organizational processes on increasing the level of profit and the social effect of activity. The study considered the statistical data of the State Statistics Service of Ukraine for 2018, 2019, and 2021 according to the indicators Number of enterprises that have access to the internet and the number of employed who have access to the internet and Number of employed who have access to the internet. The given statistical data were quantitatively processed (summarized and compared). With the help of theoretical research methods (deduction and analysis) of the obtained results, it was found that the organization's technological development helps to increase the organization's profitability and the non-profit organization's social effect. The practical value of the article lies in the visual representation of the dependence between the necessity of spending on the technological development of managers of profitable and non-profit organizations and the effectiveness of these organizations.
Wydawca
Rocznik
Tom
Strony
242--247
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
  • Joint Doctoral School Silesian University of Technology Faculty of Organization and Management Department of Applied Social Sciences 26 Roosevelt Street, 41-800 Zabrze, Poland
Bibliografia
  • [1] Private production and commercial enterprise “Agrosvit” https://clarity-project.info/edr/31787428
  • [2] Non-governmental organization Garden Cooperative “Budivelnyk-2” https://opendatabot.ua/c/23631909
  • [3] M. Alavi and D.E. Leidner, "Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues", MIS Quarterly, v. 25, no. 1, p. 107. 2001. https://doi.org/10.2307/3250961
  • [4] V. Venkatesh and H. Bala, "Technology Acceptance Model 3 and a Research Agenda on Interventions", Decision Sciences, v. 39, no. 2, pp. 273-315. 2008. doi:10.1111/j.1540-5915.2008.00192.x
  • [5] A.H. Gold, A. Malhotra and A.H. Segars, "Knowledge Management: An Organizational Capabilities Perspective", Journal of Management Information Systems, 18(1), pp. 185-214. 2001. https://doi.org/10.1080/07421222.2001.11045669
  • [6] A. Kuzior and A. Kwilinski, “Cognitive Technologies and Artificial Intelligence in Social Perception”, Management Systems in Production Engineering, 30(2), pp. 109-115. 2022. https://doi.org/10.2478/mspe-2022-0014
  • [7] A. Kuzior, A. Kwilinski and V. Tkachenko, „Sustainable development of organizations based on the combinatorial model of artificial intelligence“ Entrepreneurship and Sustainability, 7(2), pp. 1353-1376. 2019. http://doi.org/10.9770/jesi.2019.7.2(39)
  • [8] A. Kuzior, K. Kettler and Ł. Rąb, "Digitalization of Work and Human Resources Processes as a Way to Create a Sustainable and Ethical Organization", Energies, 15(1), p. 172. 2021. https://doi.org/10.3390/en15010172
  • [9] A. Kuzior, O. Arefieva, A. Kovalchuk, P. Brożek, V. Tytykalo, "Strategic Guidelines for the Intellectualization of Human Capital in the Context of Innovative Transformation" Sustainability, 14(19), p. 11937. 2022. https://doi.org/10.3390/su141911937
  • [10] U. Bodkhe, S. Tanwar, K. Parekh, P. Khanpara, S. Tyagi, N. Kumar and M. Alazab, "Blockchain for Industry 4.0: A Comprehensive Review", IEEE Access, vol. 8, pp. 79764- 79800. 2020. https://doi.org/10.1109/access.2020.2988579
  • [11] V. Chamola, V. Hassija, V. Gupta and M. Guizani, "A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact", IEEE Access, 8, pp. 90225-90265, 2020. https://doi.org/10.1109/access.2020.2992341
  • [12] S. Luthra, A. Kumar, E.K. Zavadskas, S.K. Mangla and J.A. Garza-Reyes, "Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy", International Journal of Production Research, 58(5), pp. 1505- 1521, 2019. https://doi.org/10.1080/00207543.2019.1660828
  • [13] Y. Wu, Y. Wu, J.M. Guerrero and J.C. Vasquez, "Digitalization and decentralization driving transactive energy Internet: Key technologies and infrastructures", International Journal of Electrical Power & Energy Systems, 126, pp. 106593. 2021. https://doi.org/10.1016/j.ijepes.2020.106593
  • [14] M.-L. Tseng, K.-J. Wu, M.K. Lim and W.-P. Wong, "Data-driven sustainable supply chain management performance: A hierarchical structure assessment under un-certainties", Journal of Cleaner Production, 227, pp. 760- 771. 2019. https://doi.org/10.1016/j.jcle-pro.2019.04.201
  • [15] Z. Bao, W. Lu, "A decision-support framework for planning construction waste recycling: A case study of Shenzhen, China", Journal of Cleaner Production, 309, pp. 127449. 2021. https://doi.org/10.1016/j.jcle-pro.2021.127449
  • [16] K. Salah, N. Nizamuddin, R. Jayaraman and M. Omar, "Blockchain-Based Soybean Traceability in Agricultural Supply Chain", IEEE Access, 7, pp. 73295-73305. 2019. https://doi.org/10.1109/access.2019.2918000
  • [17] P. Centobelli, R. Cerchione, D. Chiaroni, P. Del Vecchio, A. Urbinati, "Designing business models in circular economy: A systematic literature review and research agenda", Business Strategy and the Environment, 29(4), pp. 1734-1749. 2020. https://doi.org/10.1002/bse.2466
  • [18] A. Kwilinski, V. Tkachenko and A. Kuzior, "Transparent cognitive technologies to ensure sustainable society development", Journal of Security and Sustainability Issues, pp. 561-570. 2019. http://doi.org/10.9770 /jssi.2019.9.2(15)
  • [19] A. Kuzior, O. Vyshnevskyi and N. Trushkina, "Assessment of the Impact of Digitalization on Greenhouse Gas Emissions on the Example of EU Member States" Production Engineering Archives, 28(4), pp. 407-419. 2022. https://doi.org/10.30657/pea.2022.28.50
  • [20] P. Fobel and A. Kuzior, “The future (Industry 4.0) is closer than we think. Will it also be ethical?”. AIP Conference Proceedings, 2019, 2186, 080003.
  • [21] C.R. Kothari, Research Methodology: Methods & Techniques, 2nd ed. New Delhi: New Age International (P) Ltd., Publishers, 2004.
  • [22] State Statistics Service of Ukraine, https://www.ukr-stat.gov.ua/.
  • [23] B. Roberts, What Is Profit? Rethinking Marxism, 1(1), pp. 136-151. 1988. doi:10.1080/08935698808657792
  • [24] M. Habib and C. Jubb, NGO, Social Capital and Microfinance: a Conceptual Model. OIDA International Journal of Sustainable Development 06:04, pp. 67-78. 2013.
  • [25] M. Hicks and S. Nettles, "Dynamic software updating", ACM Transactions on Programming Languages and Systems, 27(6), pp. 1049-1096. 2005. URL: https://doi.org/10.1145/1108970.1108971
  • [26] G. Grossman and H. Elhanan, “Fair Wages and Foreign Sourcing in E. Helpman, D. Marin, and T.Verdier eds.”, The Organization of Firms in a Global Economy, Harvard University Press (3) (PDF) Fairness, Search Frictions, and Offshoring. 2008. URL: https://www.researchgate.net/publication/254424865_Fairness_Search_Frictions_and_Offshoring
  • [27] T. Ericson, “Personnel training: A theoretical and empirical review”, Working Paper, No. 2005:1, Institute for Labour Market Policy Evaluation (IFAU), Uppsala. 2005.
  • [28] A. Kuzior, "Technological Unemployment in the Perspective of Industry 4.0 Development", Virtual Economics, 5(1), pp. 7-23. 2022.
  • [29] M. Krynke, "Management optimizing the costs and duration time of the process in the production system", Prod. Eng. Arch., 27 (3), pp. 163-170, 2021. https://doi.org/10.30657/pea.2021.27.21
  • [30] M. Matuszny, "Building decision trees based on production knowledge as support in decision-making process", Prod. Eng. Arch., 26 (2), pp. 36-40. 2020. https://doi.org/10.30657/pea.2020.26.08
  • [31] R. Wolniak, "Main functions of operation management", Prod. Eng. Arch., 26, (1), pp. 11-14. 2020. https://doi.org/10.30657/pea.2020.26.03.
  • [32] M. Sira, "Efficient Practices of Cognitive Technology Application for Smart Manufacturing", Manage. Syst. Prod. Eng., 30 (2), pp. 187-191, 2022. https://doi.org/10.2478/mspe-2022-0023
  • [33] C. Williams, Effective Management. Cengage Learning, 2015.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu „Społeczna odpowiedzialność nauki” - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-888adc26-45a4-4f6f-8c26-0b4d8eb33421
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