Prevalence of abandoned children in juvenile delinquency and its differential association with crime in Kinshasa in the Democratic Republic of Congo
Keywords:
abandoned minor (Shegue), juvenile delinquent (Kuluna), prevalence, differential association, survival remedy, mode of commission of crime, gangs, Kinshasa, Democratic Republic of CongoAbstract
Faced with the increase in juvenile delinquency that has triggered the rise of fear of crime among the population of Kinshasa, capital of the Democratic Republic of Congo, the opinions of researchers lacking statistical data do not furnish scientific knowledge to the administrations be able to adequately combat this growing social problem despite repeated police and judicial interventions against these offenders. This article provides two novelties: the prevalence of abandoned minors among juvenile delinquents and the explanation of their differential association with crime. To this end, the analysis of three samples of primary survey data, documentary sources from the juvenile court, the physical count of juvenile prisoners and interviews has been decisive. Criminological and psychological theories, together with deduction, have made it possible to interpret the results.
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Abramkina, N. V. (2024). Increasing labor productivity by introducing digital services into the internal processes of the main computing center of JSC "Russian Railways". Topical Issues of Modern Scientific Research. Retrieved from https://elibrary.ru/item.asp?id=65288187&pff=1
Alekseev I. (2023). Automation of HR services. Retrieved from https://primo-rpa.ru/blog/hr
Arntz, M., Gregory, T. & Zierahn, U. (2016). The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis. OECD Social, Employment and Migration Working Papers, No. 189, OECD Publishing, Paris. http://dx.doi.org/10.1787/5jlz9h56dvq7-en
Bahasoan, A. N., Muhammad, & Marsudi. (2023). Regional Autonomy and Poverty in Indonesia: A Literature Review. East Asian Journal of Multidisciplinary Research, 2(4), 1613–1624. https://doi.org/10.55927/eajmr.v2i4.3869
Coaboy, L., Basurto, J., Zambrano, A., Moreira, F. & Moreira, J. (2022). Using Gartner Metrics to Measure Performance of RPA Robotic Process Automation Platforms. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao,, 47, 46-60.
Evseeva, S., Evseeva, O., Burmistrov, A., & Siniavina, M. (2021). Application of artificial intelligence in human resource management in the agricultural sector. E3S Web of Conferences, 258, 01010. https://doi.org/10.1051/e3sconf/202125801010
Fißler, E., Kraus, P. & Schlegel, D. (2022). Challenges of Robotic Process Automation Implementation Projects – Insights from Expert Interviews with Consultants. Retrieved from: https://www.researchgate.net/publication/363861444_CHALLENGES_OF_ROBOTIC_PROCESS_AUTOMATION_IMPLEMENTATION_PROJECTS_-_INSIGHTS_FROM_EXPERT_INTERVIEWS_WITH_CONSULTANTS
Frey, C.B. & Osborne, M.A. (2013). The Future of Employment: How Susceptible are Jobs to Computerization?, University of Oxford. Retrieved from: http://reparti.free.fr/freyosborne17.pdf
Grinshtein, S. (2017). Prospects of HR robots/bots in the field of personnel selection - current realities, opinions and experience of experts. Retrieved from //https://habr.com/ru/articles/321070/
Gunisity, Swaroop Raj. (2024). Evolution of Automation to Hyperautomation: Leveraging RPA, AI ML, NLP for Optimal Operational Efficiency. International Journal of Computer Trends and Technology, 72, 76-83. DOI: 10.14445/22312803/IJCTT-V72I3P111.
HeadHunter (2019). What was discussed at the HR Digital 2019 summit: some striking quotes. Retrieved from https://hh.ru/article/25479
Hofmann, P., Samp, C., & Urbach, N. (2019). Robotic process automation. Electron Markets, 30(1), 99–106. https://doi.org/10.1007/s12525-019-00365-8
Issac, R., Muni, R., & Desai, K. (2018). Delineated Analysis of Robotic Process Automation Tools. 2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC), 105. https://doi.org/10.1109/ICAECC.2018.8479511
Karzaeva N., & Karanina E. (2024). Personnel security. Moscow : INFRA-M. DOI: 10.12737/1907618 Retrieved from https://naukaru.ru/en/nauka/textbook/4080/view.
Kim, Seung-Hee. (2023). Development of Evaluation Criteria for Robotic Process Automation (RPA) Solution Selection. Electronics, 12(4), 986. DOI: 10.3390/electronics12040986.
Kitsantas, T., Georgoulas, P. & Chytis, E. (2024). Integrating Robotic Process Automation with Artificial Intelligence for Business Process Automation: Analysis, Applications, and Limitations. Journal of System and Management Sciences, 14, 217-242. DOI: 10.3168/JSMS.2024.0712.
Kraus, P., Fißler, E. & Schlegel, D. (2024). A typology of challenges in the context of robotic process automation implementation projects. International Journal of Organizational Analysis, 32, 60-73. DOI: 10.1108/IJOA-11-2023-4100.
Leshob, A., Bourgouin, A., & Renard, L. (2018). Towards a Process Analysis Approach to Adopt Robotic Process Automation. 2018 IEEE 15th International Conference on E-business Engineering (ICEBE). https://doi.org/10.1109/icebe.2018.00018
Matinyan S.G. & Albert E.S. (2023). Analysis of key problems and threats of the rapid development of artificial intelligence technologies. Innovation and Investment, 6, 128-131. Retrieved from https://elibrary.ru/MRJKAD
Minina, V. N. (2019). HR bots in human resource management of an organization. Vestnik Sankt-Peterburgskogo Universiteta. Seriâ 8, Menedžment/Vestnik Sankt-Peterburgskogo Universiteta. Menedžment, 18(3), 400–418. https://doi.org/10.21638/11701/spbu08.2019.304
Moderno, O., Braz, A. & Nascimento, P. (2023). Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view. Business Process Management Journal, 30. DOI: 10.1108/BPMJ-08-2022-0409.
Mohamed, S., Mahmoud, M., Mahdi, M. & Mostafa, S. (2022). Improving Efficiency and Effectiveness of Robotic Process Automation in Human Resource Management. Sustainability, 14, 3920. DOI: 10.3390/su14073920.
Neves, Â. & Araujo, G. L. V. (2023). Smart automation for enhancing Cyber-Security. Foresight and STI Governance/Forsajt, 17(1), 89–97. https://doi.org/10.17323/2500-2597.2023.1.89.97
Nikolaeva, G. L., & Tukhbatov, R. R. (2020). Digital assistants as a tool to optimize the interaction of economic agents. Modern Information Technologies and IT-Education, 16(1), 246–257. https://doi.org/10.25559/sitito.16.202001.246-257
Osipova, A.E. & Yaruskina, E.T. (2024) the impact of robotics and artificial intelligence on the labor market. Current issues in technical and natural sciences in Russia and abroad: collection of scientific articles, 30-32. Retrieved from https://elibrary.ru/XATEPT
Ostrovskaia, I.S. & Burmistrov, A.N. (2022). Main trends of digitalization of human resource management in the modern economy. Fundamental and applied research in the field of management, economics and trade, 62-66. Retrieved from https://elibrary.ru/HQUJTB
Patil, S. (2024). Transforming the University HR on Boarding Process with RPA. International Journal of Innovative Research in Information Security, 10, 168-172. DOI: 10.26562/ijiris.2024.v1004.09.
Rusandi, & Muhammad Rusli. (2021). Merancang Penelitian Kualitatif Dasar/Deskriptif dan Studi Kasus. Al-Ubudiyah: Jurnal Pendidikan Dan Studi Islam, 2(1), 48–60. https://doi.org/10.55623/au.v2i1.18
Serov, E.R. & Vasiliev, S.A. (2022). Key trends in the digital transformation of the banking business. Proceedings of the International Banking Institute, 2(40), 201-221. Retrieved from https://elibrary.ru/BRJCVD
Siderska, J., Suesse, T., Aunimo, L., Kedziora, D., von Stamm, J. & Aini, S. (2023). Towards Intelligent Automation (IA): Literature Review on the Evolution of Robotic Process Automation (RPA), its Challenges, and Future Trends. Engineering Management in Production and Services, 15, 90-103. DOI: 10.2478/emj-2023-0030.
Sklyueva, A. A. (2024). Method of selection of rpa platforms when implementing robotics. Fundamental scientific research: theory and practice. Collection of scientific papers based on the materials of the XXII International Scientific and Practical Conference, 104-109. Retrieved from: https://elibrary.ru/JEIPBC
TAdviser (2019). Practical experience of implementing business process management systems and RPA technologies was discussed at Elma Day 2019. Retrieved from https://www.tadviser.ru/index.php/%D0%A1%D1%82%D0%B0%D1%82%D1%8C%D1%8F:ELMA_DAY_2019:_%D0%BF%D1%80%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0_BPM_%D0%B8_RPA
Tkachuk, N. V. (2018). The role of the report on the financial position in the provision of the property rights of participants of limited liability companies. Amazonia Investiga, 7(16), 391-401.
Tkachuk, N. V. (2019). Subjectivity in the interpretations of financial performance. Revista San Gregorio, 1(30). https://doi.org/10.36097/rsan.v1i30.902
Vijai, C. & Mariyappan, M.s.R.. (2023). Robotic Process Automation (RPA) in Human Resource Functions. Advances In Management. 16. 30-37. DOO: 10.25303/1603aim030037.
Zagorskaya, K. R. & Ivanova, I. V. (2024). Research of recommendations and methods for increasing the efficiency of RPA implementation in enterprises. Dnevnik nauki, 2(86). Retrieved from https://elibrary.ru/item.asp?edn=RRLTRR
Zagorskaya, K. R. (2023). Comparison of RPA platforms on the Russian market 2023. Dnevnik nauki, 6(78). https://doi.org/10.51691/2541-8327_2023_6_12.
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