Baottong, Mozes Haryanto
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Leveraging Big Data for Competitive Advantage: A Review in Business Analytics Baottong, Mozes Haryanto; Baharuddin, Ceskakusumadewi; Sari M, Fitri Indah; Sasmita, Halida; Salam, Karta Negara
Advances in Management & Financial Reporting Vol. 3 No. 3 (2025): June - September
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/amfr.v3i3.604

Abstract

Purpose: This study examines the strategic integration of big data analytics for achieving competitive advantage in business analytics. Research Method: This study employs a mixed-methods approach, integrating a comprehensive literature review with empirical investigation. Quantitative data was collected via surveys from 200 senior executives, data scientists, and IT managers across various industries. Qualitative data were gathered through semi-structured interviews with 30 participants, providing in-depth insights into the strategic, organizational, and cultural factors influencing the implementation of big data. Results and Discussion: The findings reveal that strategic alignment is crucial for the successful implementation of significant data initiatives—companies with clear strategic alignment report higher returns on investment. Big data significantly enhances customer segmentation, targeting, and personalization in marketing, while also improving supply chain visibility and resilience. However, challenges such as the skills gap, data quality issues, and security concerns impede effective utilization. The study emphasizes the importance of fostering a data-driven culture and implementing robust data governance frameworks. The discussion links these findings with theoretical concepts, supporting hypotheses, and prior research, highlighting the need for integrated frameworks that align significant data initiatives with business strategies. Implications: The study provides practical guidelines for organizations to enhance their competitive advantage by leveraging big data. Recommendations include developing integrated strategies, investing in training programs, promoting data literacy, and ensuring high data quality and security. Addressing these challenges enables organizations to leverage big data analytics for a sustained competitive advantage fully.
MITIGATING QR-PHISHING RISKS IN INDONESIAN DIGITAL PAYMENTS THROUGH SECURITY BEHAVIOR INTENTIONS SCALE Baottong, Mozes Haryanto; Kausar, Al; Taufiq, Muhammad Imam; Krisnanto, Budhi
Jurnal Manajemen Perbankan Keuangan Nitro Vol. 1 No. 3 (2025): Vol. 1 No. 3 (2025): Special Volume for International Collaboration
Publisher : LP2M IBK Nitro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56858/jmpkn.v1i3.757

Abstract

This study aims to analyze the role of user awareness in mitigating the risk of quishing (QR phishing) in QR code-based digital transactions. The primary focus of this study is to examine whether user awareness acts as a mediating variable that strengthens the influence of user behaviors, such as password management, software updates, and device security practices, on quishing risk mitigation. This study used a quantitative approach using the Structural Equation Modeling (SEM) method to analyze the relationship between variables. Data was collected through an online survey involving 400 active QR code users in Indonesia. The results indicate that user awareness plays a significant role in enhancing quishing risk mitigation, both directly and through influencing user behavior. Good password management, regular software updates, and good device security practices have a positive effect on quishing risk mitigation, and this influence is further strengthened by user awareness. Furthermore, the results also reveal that increased user awareness can directly reduce their vulnerability to quishing attacks. The practical implication of these findings is the importance of digital security education programs that can increase user awareness of Quishing threats. Financial institutions, especially Bank Indonesia, and digital payment service providers can utilize these results to design policies that focus on increasing digital security awareness for users. Academically, this study adds to the understanding of the relationship between user awareness, user behavior, and Quishing risk mitigation in the context of QR Code-based digital payment systems, as well as contributing to the cybersecurity literature in the digital transaction sector.