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International Journal of Business, Law and Political Science
Published by PT. Antis International Publisher
ISSN : -     EISSN : 30321298     DOI : https://doi.org/10.61796/ijblps
Core Subject : Economy, Social,
Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences
International Journal of Business, Law and Political Science - ISSN (Online) 3032-1298 is a peer-reviewed (refereed), open-access journal in the domain of finance and management sciences. IJBLPS seeks to advance multidisciplinary researchers by publishing the highest quality theoretical and empirical work in the fields of Business, Public Politics, International Relations, Law, Management, Policy Administration, and other related areas. The journal invites research papers/articles related to Financial Law, Management, languages, Politics, Sociology, Economics, Commerce, Education, Business, History, Marketing, Psychology and other multidisciplinary areas.
Arjuna Subject : Ilmu Sosial - Ilmu Politik dan Hubungan Internasional
Articles 182 Documents
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CYBERBULLYING: CONCEPT, FEATURES, AND INTERNATIONAL LEGAL STANDARDS FOR THE PROTECTION OF CHILDREN FROM CYBERBULLYING Dilshod Shavkatovich Israilov
International Journal of Business, Law and Political Science Vol. 3 No. 2 (2026): International Journal of Business, Law and Political Science
Publisher : PT. Antis International Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijblps.v3i2.475

Abstract

Objective: This article provides a comprehensive analysis of criminal liability and sentencing for cyberbullying against children in the school environment. Method: It examines the concept and key features of cyberbullying, relevant international legal standards for child protection, as well as national legislation and challenges in legal qualification of such acts.  Results: Particular attention is paid to the individualization of punishment, taking into account the personality of juvenile offenders and the impact on child victims.  Novelty: Based on the research, the author proposes measures to improve criminal legislation, judicial practice, and preventive mechanisms aimed at ensuring effective protection of children's rights in the digital educational environment.
ANTECEDENT–CONSEQUENCE MODEL OF ARTIFICIAL INTELLIGENCE’S IMPACT ON HUMAN RESOURCE DEVELOPMENT Al-Buwaihi, Haider Wahid Ali; Najmuddin, Mousavi Sayyed; Amirehshah, Nazarpouri,; Hujjatullah, Vahdati,
International Journal of Business, Law and Political Science Vol. 3 No. 4 (2026): International Journal of Business, Law and Political Science
Publisher : PT. Antis International Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijblps.v3i4.477

Abstract

Objective: The purpose of this study is to present a predecessor–successor model explaining the impact of artificial intelligence on human resource development (HRD). Method: The present research is applied in nature and conducted through a qualitative research approach using content analysis. The data collection method was qualitative and carried out through a library-based study, involving the review of books, articles, and theses. Results: The findings indicated that the antecedents influencing the impact of AI on HRD can be classified into several categories. The first group includes technical and data-related factors, such as technological infrastructure and integration, informational and communication factors, information quality, data mining, intelligence requirements, and functional requirements. The second group involves human and organizational factors; the third group includes managerial and process factors; the fourth group covers environmental and industrial factors; and finally, the fifth group comprises legal, ethical, and perceived benefit factors. Additionally, the consequences (successors) of AI implementation in HRD can also be categorized into several main groups: the first group relates to improved performance and productivity; the second group to employee development and advancement; the third group to motivation, satisfaction, and employee experience; the fourth group to innovation and knowledge management; and the fifth group to organizational relationships and structures. Novelty: The study introduces a predecessor–successor model that categorizes the antecedents and consequences of AI’s impact on human resource development, distinguishing technical, organizational, managerial, environmental, and ethical factors, and their influence on HRD outcomes such as performance, employee satisfaction, innovation, and organizational structure.

Page 19 of 19 | Total Record : 182

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