cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mochamad Nashrullah
Contact Email
admin@antispublisher.com
Phone
+6285136040851
Journal Mail Official
admin@antispublisher.com
Editorial Address
Kavling Banar RT 14 RW 07, Pilang, Wonoayu, Sidoarjo
Location
Kab. sidoarjo,
Jawa timur
INDONESIA
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
 15   16   17   18   19 
BARRIERS FACED BY CENTRAL ASIAN MIGRANTS IN THE U.S. IMMIGRATION SYSTEM Kenjaev, Kamronbey
International Journal of Business, Law and Political Science Vol. 3 No. 1 (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.v3i1.451

Abstract

Objective: This essay examines forms of complexity with the U.S. immigration system that are multifaceted barriers for migrants from Central Asia. It examines the legal, social, and economic barriers to their successful resettlement. Method: The study analyzes legal, social, and economic dimensions of migration barriers, including complex visa processes, long delays and limited access to legal advice, as well as language barriers, cultural adjustment difficulties, discrimination, limited access to the formal labor market, underemployment and wage gaps. It also considers the role of support services, such as community organizations, legal aid and language training programs, in addressing these challenges. Results: Among other barriers, complex visa processes, long delays and limited access to legal advice lead to uncertainty and stress for migrants. Social obstacles include barriers to language, difficulties in adjusting to a new culture and discrimination encountered in everyday life as well as at work. From an economic perspective, migrants are frequently faced with limited access to the formal labor market, underemployment and wage gaps. The study also highlights the importance of support services in addressing these challenges. Novelty: Last, the article broaches policy recommendations to mitigate these barriers and promote equitable conditions that foster the successful incorporation of Central Asian migrants in U.S. society.
THE IMPACT OF POST-CONFLICT SECURITY SECTOR REFORM ON SOCIO-ECONOMIC DEVELOPMENT IN NIGERIA’S NIGER DELTA AND NORTH-EAST Nwobueze, Chibuzor Chile; Matthew, Uchendu, Jennifer
International Journal of Business, Law and Political Science Vol. 3 No. 1 (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.v3i1.452

Abstract

Objective: Nigeria’s Niger Delta and North-East represent two critical theatres of protracted conflict, rooted in resource grievances and violent extremism, respectively. Post-conflict stabilization efforts in both regions have heavily relied on security sector reform (SSR) designed to make the situation transition from militarized containment to sustainable, community-oriented peace. Method: Research revealed mixed but mainly constrained impact. Results:  Although SSR has secured some immediate dividends for the general reduction of violent visibility, the conversion of such security dividends into sustainable socio-economic development (SED) continues to be substantially impeded by institutional drivers. Disarmament, Demobilization and Reintegration (DDR) in the Niger Delta is counterproductive because the economy is not diversifying structurally away from oil and leads to cyclical grievance. Analogously, in the North-East, the link between the success of counter-insurgency operations and reconstruction is weak because the civilian-security relations have become fragmented, while the institutional adaptation to the human security needs of the region has been slow. This study found that SSR has not done great in making SED happen because they mainly focus on security. They often miss the bigger problems, like corruption in organizations, few people getting involved and communities not feeling like they own the process. Novelty: For SSR to become a true engine of socio-economic recovery, future interventions must be explicitly integrated with local governance reform and developmental planning, fundamentally linking security provision with the restoration of human capital and economic opportunity.
EVALUATION OF FLOOD MANAGEMENT POLICIES IN EAST BARITO REGENCY CENTRAL KALIMANTAN Agus Sukamat; Reno Affrian
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.v3i2.454

Abstract

Objective:  This research aims to evaluate the flood management policy in East Barito Regency by assessing the alignment between policy objectives, on-the-ground implementation, and the results achieved. Method: The research uses a descriptive qualitative approach with data collection methods including in-depth interviews, observation, and document study. Data analysis was conducted using a policy evaluation framework that included aspects of effectiveness, efficiency, adequacy, equity, responsiveness, and timeliness. Results: Flooding is one of the hydrometeorological disasters that repeatedly occurs in East Barito Regency, Central Kalimantan, and causes significant social, economic, and environmental impacts. Local governments have implemented various flood management policies thru structural and non-structural programs, but the effectiveness of these policies is still debated. The research results indicate that flood management policies have been implemented according to the regulatory framework, but they are not yet optimal in sustainably reducing flood risks and impacts. The main obstacles include limited cross-sectoral coordination, the dominance of structural approaches, weak spatial planning control, and minimal community participation. Novelty: This research recommends strengthening flood management policies based on disaster risk reduction and multi-stakeholder collaboration.
IMPLEMENTATION OF THE CHILD IDENTITY CARD (KIA) ISSUANCE POLICY BY THE EAST BARITO DISTRICT POPULATION AND CIVIL REGISTRATION OFFICE, CENTRAL KALIMANTAN Edy Susanto; Reno Affrian
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.v3i2.455

Abstract

Objective:  This research aims to analyze the implementation of the Child Identity Card (KIA) issuance policy by the East Barito Regency Population and Civil Registration Office and to identify the factors influencing its success. Method: The research uses a qualitative approach with in-depth interviews, observation, and document study methods. Data analysis was conducted using the interactive model of Miles, Huberman, and Saldaña. Results: The research findings indicate that the implementation of the Maternal and Child Health (MCH) policy has been in accordance with the national regulatory framework, but has not been optimal in terms of socialization, human resources, service infrastructure, and community participation. Policy communication factors, implementation capacity, and societal conditions are the main determinants of implementation effectiveness. Novelty: The Child Identity Card (KIA) is a national policy aimed at providing official identification for children as part of fulfilling civil rights and population administration protection. The implementation of this policy at the local level faces various structural and contextual challenges, particularly in areas with limited geographical characteristics and institutional capacity, such as East Barito Regency. This research recommends strengthening socialization strategies, increasing the capacity of officials, and innovating cross-sectoral collaborative services to improve the coverage of KIA ownership in East Barito Regency.
DEVELOPMENT OF AI-DRIVEN PREDICTIVE ANALYTICS SYSTEMS TO IMPROVE SUPPLY CHAIN RESILIENCE AND STRENGTHEN THE STABILITY OF CRITICAL U.S. INDUSTRIES Singh, Priyanka; Patel, Mulayam Singh
International Journal of Business, Law and Political Science Vol. 2 No. 12 (2025): 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.v2i12.461

Abstract

Objective: This paper presents a comprehensive framework for developing AI-driven predictive analytics systems designed to enhance supply chain resilience in critical U.S. industries. Method: The proposed methodology integrates machine learning algorithms with real-time data processing capabilities to forecast disruptions, optimize inventory management, and strengthen supply chain stability. Results: Our experimental results demonstrate significant improvements in demand forecasting accuracy (up to 23%) and reduction in supply chain disruption response time by 35%. Novelty: The findings contribute to the growing body of knowledge on intelligent supply chain management and provide practical insights for industry practitioners seeking to leverage AI technologies for operational excellence.
CREATION OF MACHINE LEARNING-BASED FINANCIAL FRAUD DETECTION SYSTEMS TO ENHANCE THE SECURITY AND RELIABILITY OF DIGITAL FINANCIAL TRANSACTIONS Bala, S.; Vijay, T.; Thirusangu, K.
International Journal of Business, Law and Political Science Vol. 2 No. 12 (2025): 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.v2i12.462

Abstract

Objective: This research proposes a novel machine learning-based framework for financial fraud detection that combines ensemble learning techniques with real-time transaction monitoring. Method: Our hybrid approach integrates Random Forest, Gradient Boosting, and Neural Network classifiers to achieve superior detection accuracy while minimizing false positives. Results: Experimental evaluation on real-world datasets demonstrates a fraud detection rate of 97.8% with a false positive rate of only 0.3%, significantly outperforming existing methods. The proposed system offers a scalable solution for enhancing the security and reliability of digital financial transactions. Novelty: The rapid digitization of financial services has created unprecedented opportunities for fraudulent activities, necessitating advanced detection mechanisms.
DEVELOPMENT OF MACHINE LEARNING SOLUTIONS THAT OPTIMIZE BUSINESS OPERATIONS AND INCREASE EFFICIENCY THROUGH INTELLIGENT PROCESS AUTOMATION Thompson, Daniel; Zhang, Olivia; Patel, Ethan; Singh, Maya; Chen, Liam
International Journal of Business, Law and Political Science Vol. 2 No. 12 (2025): 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.v2i12.466

Abstract

Objective: This research develops machine learning solutions that optimize business operations through intelligent process automation, combining robotic process automation (RPA) with cognitive capabilities. Method: Our framework integrates natural language processing, computer vision, and predictive analytics to automate complex decision-making processes traditionally requiring human intervention. Results: Implementation across five industry sectors demonstrates average cost reductions of 42%, processing time improvements of 65%, and error rate reductions of 89%. The study provides practical guidelines for organizations seeking to implement intelligent automation strategies and quantifies the potential returns on investment. Novelty: Business process automation has emerged as a critical driver of operational efficiency and competitive advantage in modern enterprises.
DESIGN OF AI-POWERED CYBERSECURITY THREAT DETECTION SYSTEMS TO PROTECT BUSINESS NETWORKS AND DIGITAL INFRASTRUCTURE FROM EMERGING CYBER RISKS Schneider, Lukas; Fischer, Hannah; Becker, Jonas
International Journal of Business, Law and Political Science Vol. 2 No. 12 (2025): 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.v2i12.467

Abstract

Objective: This paper presents the design and implementation of an AI-powered cybersecurity threat detection system that leverages deep learning and behavioral analysis to identify and mitigate emerging cyber risks. Method: Our proposed architecture combines convolutional neural networks for malware detection, recurrent neural networks for anomaly detection in network traffic, and reinforcement learning for adaptive threat response. Results: Evaluation on benchmark datasets and real-world deployment scenarios demonstrates a threat detection accuracy of 99.2% with an average response time of 45 milliseconds. The system effectively addresses zero-day attacks and advanced persistent threats, providing robust protection for enterprise digital assets. Novelty: The evolving landscape of cyber threats poses significant challenges to business networks and digital infrastructure worldwide.
INDIRECT INCITEMENT TO CRIME AND ITS IMPACT ON ESTABLISHING CRIMINAL LIABILITY: AN ANALYTICAL STUDY IN LIGHT OF IRAQI LEGISLATION, JURISPRUDENCE, AND JUDICIARY Maher Tariq Abbas
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.v3i2.473

Abstract

Objective: The aim of this research is to review the facets of "Indirect Incitement to Crime" as a developing intellectual criminal phenomenon, and its impact on the criminal liability system in accordance with the Iraqi legislation. This study is based on a simple problem: The legislative gap in suggestive patterns of incitement from the Iraqi Penal Code No. 111 of1969. Such a gap has resulted in paradoxical metaphors in identifying the exercise of constitutional rights (freedom of expression) from criminal behaviors camouflaged under the pretext of glorification or amplification thereof. Method: In order to achieve the purposes of this study, an analytical method was adopted to analyse penal texts as well as a judicial method to extrapolate trends on behalf of Federal Court of Cassation. This study is divided into four distinct sections, the first reviews methodology and prior literature, the second establishes the jurisprudential framework (juristic conceptions of law); the third discusses legal elements (actus reus and mens rea) while the fourth section terminates in punitive impact and mitigation mechanisms. Results: The most significant results of the research were to be seen in the Iraqi Criminal Policy, which began with the so-called "abstracting" indirect assault predicate in terms of special laws and converting it into a stand-alone (crime hazard) crime. Moreover, the results show that the judiciary throws itself on a "contextual standard" in deciding criminal intent. Novelty: And the paper ends by reiterating the need to codify a clear procedural definition of suggestive incitement, as well as design contemporary prophylactic mechanisms adapted to the digital publicity sphere.
DEVELOPMENT OF AI-DRIVEN WORKFORCE ANALYTICS TOOLS TO IMPROVE TALENT MANAGEMENT, WORKFORCE PLANNING, AND PRODUCTIVITY Sharma, Rahul
International Journal of Business, Law and Political Science Vol. 1 No. 12 (2024): 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.v1i12.474

Abstract

Objective: Effective talent management and workforce planning are essential for organizational success in the knowledge economy. This research develops AI-driven workforce analytics tools that leverage machine learning to enhance talent acquisition, employee engagement, and productivity optimization. Method: Our integrated platform combines predictive models for employee turnover, performance forecasting algorithms, and skill gap analysis tools to support strategic workforce decisions. The system processes diverse HR data sources including performance reviews, engagement surveys, and productivity metrics to generate comprehensive workforce insights. Results: Deployment in multinational corporations demonstrates 22% reduction in employee attrition, 18% improvement in hiring quality, and 12% increase in overall workforce productivity. Novelty: The study advances HR analytics capabilities and provides evidence-based guidance for talent management practitioners.

Page 18 of 19 | Total Record : 182

 15   16   17   18   19 

Filter by Year

2024 2026


Reset
Filter By Issues
All Issue Vol. 3 No. 4 (2026): International Journal of Business, Law and Political Science Vol. 3 No. 2 (2026): International Journal of Business, Law and Political Science Vol. 3 No. 1 (2026): International Journal of Business, Law and Political Science Vol. 2 No. 12 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 11 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 10 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 9 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 8 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 7 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 6 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 5 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 4 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 3 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 2 (2025): International Journal of Business, Law and Political Science Vol. 2 No. 1 (2025): International Journal of Business, Law and Political Science Vol. 1 No. 12 (2024): International Journal of Business, Law and Political Science Vol. 1 No. 11 (2024): International Journal of Business, Law and Political Science Vol. 1 No. 10 (2024): International Journal of Business, Law and Political Science Vol. 1 No. 9 (2024): International Journal of Business, Law and Political Science Vol. 1 No. 8 (2024): International Journal of Business, Law and Political Science Vol. 1 No. 7 (2024): Journals International Journal of Business, Law and Political Science Vol. 1 No. 6 (2024): International Journal of Business, Law and Political Science Vol. 1 No. 5 (2024): International Journal of Business, Law and Political Science Vol. 1 No. 4 (2024): International Journal of Business, Law and Political Science Vol. 1 No. 3 (2024): International Journal of Business, Law and Political Science Vol. 1 No. 2 (2024): International Journal of Business, Law and Political Science Vol. 1 No. 1 (2024): International Journal of Business, Law and Political Science More Issue