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All Journal Jurnal Ad'ministrare: Jurnal Pemikiran Ilmiah dan Pendidikan Administrasi Perkantoran Indonesian Economic Review Studia Ekonomika International Journal of Management, Accounting & Finance International Journal of Business, Marketing, Economics & Leadership International Journal of Business Law, Business Ethic, Business Communication & Green Economics (IJBGE)
Benardi
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Enhancing Organizational Resilience through Crisis Management Strategies: A Case Study Approach Benardi Benardi; Grace Yulianti; Mohammad Chaidir
International Journal of Management, Accounting & Finance (KBIJMAF) Vol. 1 No. 2 (2024): April : International Journal of Management, Accounting & Finance (KBIJMAF)
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/kbijmaf.v1i2.185

Abstract

In today's dynamic and uncertain business environment, organizational resilience is imperative for survival and sustained success. This research investigates how crisis management strategies contribute to enhancing organizational resilience. Utilizing a case study approach, we examine real-world instances where organizations effectively navigated crises to emerge stronger. Through qualitative analysis of diverse industries, we identify commonalities and best practices in crisis response and recovery. Findings underscore the significance of proactive planning, robust communication channels, adaptive leadership, and resource allocation in bolstering resilience. Moreover, the study sheds light on the role of organizational culture in fostering resilience amidst adversity. Insights gleaned from this research provide practical implications for leaders and managers seeking to fortify their organizations against unforeseen disruptions, ultimately contributing to the advancement of organizational resilience theory and practice.
Exploring the Impact of Artificial Intelligence on Supply Chain Management Performance: A Scoping Review Eka Wahyu Kasih; Benardi Bernadi; Grace Yulianti
International Journal of Management, Accounting & Finance (KBIJMAF) Vol. 1 No. 2 (2024): April : International Journal of Management, Accounting & Finance (KBIJMAF)
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/kbijmaf.v1i2.188

Abstract

This scoping review examines the impact of Artificial Intelligence (AI) on Supply Chain Management (SCM) performance. Through a comprehensive analysis of existing literature, this study aims to elucidate the role of AI in enhancing SCM efficiency and effectiveness. Methodologically, a systematic search of scholarly databases was conducted, yielding a collection of relevant articles. Findings reveal a significant influence of AI on various aspects of SCM, including demand forecasting, inventory management, and logistics optimization. Moreover, AI-driven solutions demonstrate promising potential in mitigating supply chain disruptions and enhancing responsiveness to market dynamics. This review contributes to a deeper understanding of the transformative potential of AI in SCM, highlighting avenues for future research and practical implications for industry stakeholders.
The Role of Forecast Dispersion and Accuracy in Explaining Cross-Sectional Return Anomalies Benardi Benardi; Ngadi Permana; Mohammad Chaidir
International Journal of Management, Accounting & Finance (KBIJMAF) Vol. 1 No. 3 (2024): July : International Journal of Management, Accounting & Finance (KBIJMAF)
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/kbijmaf.v1i3.221

Abstract

This review aims to investigate the role of forecast dispersion and accuracy in explaining cross-sectional return anomalies in financial markets. By synthesizing recent theoretical and empirical research, the study examines how differences in information precision among investors lead to heterogeneous beliefs, which in turn affect asset prices and returns. The methodology involves a comprehensive literature review to identify key findings and theoretical frameworks that link forecast dispersion to market dynamics. Results indicate that higher forecast dispersion, associated with greater uncertainty and risk, correlates with higher expected returns as compensation. Conversely, accurate forecasts enhance market efficiency by reducing information asymmetry, thereby mitigating anomalies. The study also highlights theoretical models that explain anomalies like returns to skewness and disagreement through the lens of forecast dispersion. Empirical evidence supports these models, demonstrating the significant impact of forecast dynamics on asset pricing anomalies. The review concludes by emphasizing the need for further research to refine models capturing forecast dynamics and exploring the behavioral biases influencing forecast accuracy and dispersion. Understanding these factors is crucial for improving investment strategies, market efficiency, and risk management practices.
From Credit Lines to Customer Satisfaction: a Qualitative Review of FinTech Innovations in Small Business Financing Dadang Irawan; Benardi Benardi; Seger Santoso; Sri Utami Nurhasanah
International Journal of Management, Accounting & Finance (KBIJMAF) Vol. 1 No. 4 (2024): October: International Journal of Management, Accounting & Finance (KBIJMAF)
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/kbijmaf.v1i4.236

Abstract

This qualitative literature review examines the impact of FinTech innovations on small business financing, focusing on credit lines and customer satisfaction. The review explores how FinTech platforms have transformed traditional lending by enhancing accessibility, efficiency, and flexibility for small businesses, particularly those underserved by traditional banks. Key findings show that FinTech innovations, such as the use of alternative data for credit assessment and automated risk management, have significantly improved customer experiences by offering faster, more tailored financial solutions. However, challenges remain, including regulatory concerns, the risk of algorithmic bias, the lack of personalized human interaction, and the potential for over-leveraging among small businesses. Despite these limitations, FinTech continues to evolve, offering promising avenues for improving financial inclusion and borrower experiences. The review concludes that while FinTech has positively influenced the small business financing landscape, further research is needed to address regulatory gaps and ensure the sustainable growth of digital lending systems.
Co-Authors A. Sigit Pramono Hadi Angelina Angelina Cahyatih Kumandang Dadang Irawan Eka Wahyu Kasih Eka Yulianti Grace Yulianti Mia Christy Patricia Mohamad Chaidir Mohammad Chaidir Ngadi Permana Novrizal Seger Santoso Selvi Agustina Siswahyudianto Sri Utami Nurhasanah Tanti Sugiharti Teguh Wijayanto