cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ahmad Salman Farid
Contact Email
ahmadsalmanfarid@stain-madina.ac.id
Phone
+6281218181955
Journal Mail Official
ahmadsalmanfarid@stain-madina.ac.id
Editorial Address
Huta Baringin, Kec. Panyabungan Barat Kab. Mandailing Natal 22911 Indonesia
Location
Kab. mandailing natal,
Sumatera utara
INDONESIA
Involvement International Journal of Business
Published by PT Agung Media Publisher
ISSN : -     EISSN : 3032485X     DOI : https://doi.org/10.62569/iijb.v1i2.13
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
Authors are invited to contribute original research on a wide range of topics including financial management, marketing strategies, human resource management, entrepreneurship and innovation, international business, supply chain management, corporate governance, economics and business environment, strategic management, ecommerce and digital business, corporate social responsibility, financial technology, business management, green business practices, organizational leadership, risk management and compliance, corporate finance, small and medium sized enterprises, business ethics, and management of change.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis dan Menejemen Intetrnasional
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 4 (2024): October 2024" : 5 Documents clear
Psychological Determinants of Investment Decisions: Analyzing Financial Behavior in Personal Investments Chandra Bhooshan Singh; Nistha Sharma; Mariyam Ahmed
Involvement International Journal of Business Vol. 1 No. 4 (2024): October 2024
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v1i4.46

Abstract

Understanding the psychological factors that influence investor behavior is critical in the dynamic world of financial markets. Financial conduct encompasses the decisions and behaviors individuals exhibit in managing their finances, including investments in various asset classes. Factors such as risk tolerance, cognitive biases, emotional influences, and financial knowledge significantly shape investment outcomes. Gaining long-term financial success requires mastery over these behavioral aspects. This study investigates the influence of three psychological factors—information asymmetry, problem framing, and risk propensity—on the investment decisions of 220 active investors trading on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE). A quantitative research approach was employed, utilizing a structured questionnaire to collect data. Statistical analyses, including regression and correlation analysis, were used to assess the relationships between these psychological variables and investment behaviors. The results reveal significant correlations between psychological factors and investment decisions. Information asymmetry, problem framing, and risk propensity were found to strongly influence individual investor choices. These findings shed light on the intricate role that cognitive biases and psychological processes play in shaping financial decision-making. The study's findings offer valuable insights into the psychological drivers behind investment behavior. By highlighting the impact of these factors, the research contributes to both academic understanding and practical applications for financial professionals. The results underscore the importance of enhancing financial literacy and investor education, enabling more informed decision-making and promoting improved financial outcomes.
Transformation of Traditional Corporate Tax Planning into AI-Driven Corporate Tax Planning Tushar Ranjan Barik; Priyanka Ranawat
Involvement International Journal of Business Vol. 1 No. 4 (2024): October 2024
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v1i4.68

Abstract

Corporate tax planning has traditionally relied on manual processes and expert judgment to minimize tax liabilities. However, the rise of artificial intelligence (AI) presents new opportunities to transform these practices through automation, real-time analysis, and predictive capabilities. To conduct this research, a comprehensive review of academic literature, case studies, and existing AI tools in tax planning was carried out. The proposed AI-based tax planning model was developed based on these findings and validated through simulations and expert feedback. The study also examined the process of integrating AI systems with existing corporate tax structures to assess the feasibility and effectiveness of implementation. Results show that AI-driven corporate tax planning significantly enhances accuracy and efficiency compared to traditional methods. The AI model provides real-time analysis and predictive insights, enabling businesses to optimize tax strategies while ensuring compliance with evolving regulations. Tax authorities also benefit from AI implementation, gaining more transparent and equitable tax structures, along with stronger supervision capabilities. The proposed model can be developed into customized software tailored to individual companies, seamlessly integrating with existing corporate systems. These findings indicate that AI has the potential to revolutionize corporate tax planning by streamlining tax management and optimizing outcomes. For businesses, AI enables personalized tax strategies that adapt to specific data and regulations, improving both compliance and long-term tax optimization.
A Bibliometric Analysis of Sustainability in MSME Deepshikha Patel; Chandra Bhooshan Singh
Involvement International Journal of Business Vol. 1 No. 4 (2024): October 2024
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v1i4.70

Abstract

This research paper examines the role of Micro, Small, and Medium Enterprises (MSMEs) in the Indian economy and their sustainability. It analyses 85 Scopus documents from 66 sources between 2014 and 2024, revealing a peak in scientific production in 2023. The study emphasizes the importance of sustainable practices for long-term success. This comprehensive research paper rigorously examines the pivotal role of Micro, Small, and Medium Enterprises (MSMEs) in the Indian economy and emphasizes the critical importance of sustainable practices for long-term success. Through meticulous analysis of 85 Scopus documents from 66 sources between 2014 and 2024, the study conclusively reveals a peak in scientific production in 2023 and robust ties between India and various other countries in this domain.
The Effect of Organizational Culture on Employee Performance Mediated by Work Motivation at PT. Permodalan Nasional Madani Cianjur Branch Tarjono; Masoud Ghorbanhosseini
Involvement International Journal of Business Vol. 1 No. 4 (2024): October 2024
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v1i4.71

Abstract

This study aims to examine the effect of organizational culture on employee performance through employee work motivation at PT Permodalan Nasional Madani Cianjur Branch. This research uses a quantitative approach with Structural Equation Modeling (SEM) using the SmartPLS program. The population used is all employees of PT Permodalan Nasional Madani Cianjur Branch. The sample consisted of 102 respondents. The data collection technique was carried out using a questionnaire distributed online. The results showed that work motivation can significantly mediate the effect of organizational culture on employee performance at PT Permodalan Nasional Madani Cianjur Branch. The result of Direct Effect Analysis is BO -> MK : Original Sample (Path) = 0,693; t-Statistics = 10,788; P-Values = 0,000; Decision = Positive. BO -> KK : Original Sample (Path) = 0,068; t-Statistics = 1,949 P-Values = 0,052; Decision = Positive. MK -> KK : Original Sample (Path) = 0,760; t-Statistics = 13,294; P-Values = 0,000; Decision = Positive.
Analysis of The Influence of Population Number and Regional Minimum Wage on Unemployment in Central Kalimantan Rima Harati; Heike Delfmann
Involvement International Journal of Business Vol. 1 No. 4 (2024): October 2024
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v1i4.74

Abstract

This study aims to examine the impact of population and regional minimum wages on unemployment in Central Kalimantan. Understanding the factors influencing unemployment is crucial for policymakers, particularly in regions with unique economic and demographic challenges like Central Kalimantan. The research uses data from the period 2011-2023, applying Multiple Linear Regression Analysis to investigate the relationship between population (X1), regional minimum wages (X2), and unemployment (Y). Classical assumption tests, including normality, multicollinearity, autocorrelation, and heteroscedasticity, were conducted to ensure the validity of the regression model. The findings indicate that neither population nor regional minimum wages significantly affect unemployment in Central Kalimantan. These results suggest that other factors may play a more significant role in determining unemployment in the region, providing a basis for future research to explore additional variables and more complex interactions affecting regional unemployment rates.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2026): January 2026 Vol. 2 No. 4 (2025): October 2025 Vol. 2 No. 3 (2025): July 2025 Vol. 2 No. 2 (2025): April 2025 Vol. 2 No. 1 (2025): January 2025 Vol. 1 No. 4 (2024): October 2024 Vol. 1 No. 3 (2024): July 2024 Vol. 1 No. 2 (2024): April 2024 Vol. 1 No. 1 (2024): January 2024