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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. 3 No. 1 (2026): January 2026" : 5 Documents clear
Reconceptualizing Evidence-Based Business Decisions in the Era of Data Analytics and Artificial Intelligence Mastan, Danish; Qasim, Mohammed; Ali, Mohammed Aijaz; Zafar, Ayyan
Involvement International Journal of Business Vol. 3 No. 1 (2026): January 2026
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v3i1.166

Abstract

Business organizations are increasingly required to move beyond intuition-based decision-making toward evidence-based approaches supported by data analytics. Advances in data analytics, machine learning, and predictive modeling have reshaped how firms interpret information, forecast trends, and respond to market dynamics. However, despite growing adoption, challenges related to data quality, organizational readiness, and ethical governance continue to limit the effective use of analytics in strategic decision-making. This study adopts a qualitative-descriptive approach using secondary data analysis and real-world case illustrations across multiple industries, including retail, healthcare, finance, logistics, and technology. Drawing on the Data-Driven Decision-Making (DDDM) framework and business intelligence theory, the paper synthesizes insights from academic literature, industry reports, and documented organizational practices to examine how data analytics supports evidence-based decisions and operational efficiency. The findings demonstrate that data analytics significantly enhances decision accuracy, operational efficiency, and strategic agility. Predictive analytics and machine learning enable organizations to anticipate market trends, personalize customer engagement, reduce operational risks, and optimize resource allocation. Empirical illustrations indicate notable improvements in efficiency, risk reduction, revenue growth, and customer satisfaction when analytics-driven approaches are systematically implemented. However, data quality issues, talent shortages, resistance to change, and data privacy concerns remain critical barriers. The study highlights that the transformative value of data analytics lies not only in technological adoption but also in cultivating a data-driven organizational culture supported by leadership commitment and ethical governance.
Between Decentralization and Control: How Cryptocurrency is Redefining Global Financial Architecture Dawood, Mohammed Dawood; Hussaini, Syed Saif Ullah; Abeddin, Mohd Zain ul; Hizli, Bishal Hizli
Involvement International Journal of Business Vol. 3 No. 1 (2026): January 2026
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v3i1.169

Abstract

Cryptocurrencies have emerged as a disruptive force in global finance, challenging traditional banking systems through decentralization, transparency, and borderless transactions. Initially perceived as speculative assets, cryptocurrencies have increasingly gained institutional recognition, raising important questions regarding their financial role, regulatory governance, and long-term sustainability. This study adopts a qualitative-dominant mixed-method approach based on secondary data analysis. Data were collected from peer-reviewed journals, institutional reports, regulatory documents, and reputable market analyses published over the last decade. Thematic and descriptive analyses were employed to examine trends in cryptocurrency adoption, regulatory responses, technological innovation, and sustainability efforts. The findings indicate that cryptocurrencies have evolved into recognized financial assets, with growing institutional participation and expanding applications in cross-border payments and decentralized finance. However, significant challenges persist, including regulatory fragmentation, cybersecurity risks, market volatility, and environmental concerns related to energy-intensive mining. Regulatory milestones such as the European Union’s MiCA framework demonstrate progress toward legal harmonization, while technological innovations such as Layer 2 solutions, interoperability protocols, and Proof-of-Stake consensus mechanisms support scalability and sustainability. The discussion links these findings to Technology Acceptance and Innovation Diffusion theories, showing that institutional adoption is driven by perceived usefulness, regulatory legitimacy, and technological compatibility. Market Regulation and Institutional theories further explain divergent national regulatory approaches and increasing global coordination efforts. Sustainability considerations emerge as a critical determinant of long-term viability, shaping both technological development and policy intervention. Cryptocurrencies represent a transformative element of the global financial system, offering opportunities for efficiency, inclusion, and innovation. 
Unlocking the Economic Potential of Cash Waqf for Sustainable Poverty Reduction in Indonesia Syaripudin, Enceng Iip; Gaussian, Gini; Safera, Nurul; Furkony, Deni Konkon; Burhanudin, Ujang; Mohd, Ismail Bin Mohd
Involvement International Journal of Business Vol. 3 No. 1 (2026): January 2026
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v3i1.170

Abstract

This study aims to analyze the economic potential of cash waqf as a social finance instrument for poverty reduction in Indonesia, with particular attention to governance structures and integration into economic empowerment strategies. The research employs a qualitative library research approach by reviewing peer-reviewed journal articles, academic books, and institutional reports related to cash waqf, Islamic social finance, and poverty alleviation. Data were analyzed using thematic analysis to synthesize conceptual and empirical insights from both Indonesian and comparative international contexts. The findings indicate that cash waqf in Indonesia has a large untapped economic potential, estimated at approximately IDR 180 trillion annually, with realization remaining below 10 percent. Effective implementation is closely associated with transparent governance, professional management, and institutional credibility. Furthermore, cash waqf demonstrates stronger and more sustainable poverty reduction outcomes when integrated into productive economic activities such as entrepreneurship development, microfinance, and social enterprises. The study discusses these findings through the lenses of social finance theory, institutional economics, and inclusive development. It argues that reframing cash waqf as a structured social finance instrument enhances its relevance for business-oriented policy discourse and strengthens its role in sustainable and inclusive economic development.
Beyond Tax Compliance Integrating Tax Planning Risk Management and Revenue Enhancement Through Management Consulting Jalan, Bhavika; Kadel, Harshita; Uddin, Syed Bilal; Baqi, Abdul
Involvement International Journal of Business Vol. 3 No. 1 (2026): January 2026
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v3i1.187

Abstract

The increasing complexity of tax regulations, global economic integration, and heightened fiscal transparency have transformed tax planning and compliance into strategic business concerns. Management consultants are increasingly engaged to help organizations navigate these challenges, yet their role is often conceptualized narrowly as technical tax advisory. This study employs a qualitative, literature-based research design using an integrative and thematic review of peer-reviewed academic publications from 2015 to 2025. Relevant studies were systematically analyzed to identify patterns, themes, and theoretical linkages concerning the strategic role of management consultants in tax planning, compliance, and risk management. The findings indicate that management consultants have evolved into strategic partners who integrate tax planning and compliance within enterprise risk management and corporate governance frameworks. Consultant-led tax strategies contribute to proactive risk mitigation, revenue stability, regulatory compliance, and business sustainability. Consultants also play a critical role in navigating regulatory complexity and emerging tax challenges, including digital economy taxation and crisis-driven fiscal policies. The results align with strategic management, risk management, institutional, and stakeholder theories, highlighting management consultants as key actors in transforming tax management into a value-creating and legitimacy-enhancing function. This reconceptualization underscores the importance of integrating tax governance with broader organizational strategy and performance objectives.
Predicting Consumer Purchase Decisions through Packaging Color Strategies in FMCG Markets Bharti, Rakshak; Khatri, Urvija; Singh, Chandra Bhooshan; Barik, Tushar Ranjan; Thakur, Kanchan; Lepcha, Dawakit
Involvement International Journal of Business Vol. 3 No. 1 (2026): January 2026
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v3i1.197

Abstract

Examining highly competitive Fast-Moving Consumer Goods (FMCG) markets reveals that consumers often make purchase decisions within seconds, rendering packaging design particularly color a critical strategic cue. Although prior research has established the psychological influence of color, few studies have integrated neuromarketing measures with predictive analytics to forecast consumer purchase behavior. This study employs a mixed-methods design combining eye-tracking, physiological emotional measurement (FEMG and GSR), consumer surveys, and machine learning analysis. A total of 1,500 participants evaluated FMCG products across food, beverage, and personal care categories using standardized color treatments. Data were analyzed using ANCOVA and an XGBoost machine learning model to predict purchase decisions. The results show that warm colors significantly reduced time-to-first-fixation (mean = 420 ms) and increased visual engagement, while high-contrast packaging improved fixation duration by up to 32%. Emotional analysis revealed that warm, high-saturation colors generated higher arousal (GSR +18.6%), whereas cooler colors produced stronger positive valence linked to trust. The XGBoost model achieved a prediction accuracy of 89.2%, substantially outperforming traditional regression models. The findings demonstrate that packaging color operates as a neuromarketing stimulus that shapes attention and emotion prior to conscious deliberation. Integrating behavioral science with machine learning advances both theory and practice by enabling accurate prediction of consumer decisions. The study highlights the strategic value of data-driven color design for FMCG marketers seeking competitive advantage in complex retail environments.

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