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All Journal Journal of Digital Business and Innovation Management
Wicaksana, Dwi Yoga
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Decision Sciences, Operations Research & Management Library & Information Science

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FINTECH FOR SDGS: DRIVING ECONOMIC DEVELOPMENT THROUGH FINANCIAL INNOVATION Wicaksana, Dwi Yoga; Dewi, Hapsari Shinta Citra Puspita; Erta, Erta
Journal of Digital Business and Innovation Management Vol. 2 No. 2 (2023): December 2023
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jdbim.v2i2.57960

Abstract

This research delves into the pivotal role of Financial Technology (FinTech) in advancing the financial sector, sustainable development, and financial inclusion. Employing a descriptive-qualitative approach and the systematic literature review (SLR) method, the study investigates FinTech's interplay with Sustainable Development, Financial Inclusion, and Economic Development globally. A meticulous Scopus search utilizing keywords like "Fintech," "SDGs," "Financial Inclusion," and "Economic Development" ensures a thorough review of pertinent literature. The results underscore FinTech's substantial impact on Sustainable Development, Financial Inclusion, and Economic Development, acting as a crucial catalyst for financial inclusion and mediating sustainable growth through financial literacy. Furthermore, FinTech exhibits the potential to underpin sustainable economic growth, financial inclusion, and Economic Development by enhancing financial service accessibility, reducing poverty, and fostering gender equality. Challenges persist, particularly in the Pacific region, where issues of accessibility, awareness, literacy, and trust impede FinTech adoption. The study advocates for awareness campaigns, financial education, and infrastructure development to surmount these obstacles. In conclusion, while FinTech significantly influences financial inclusion and economic growth, its broader impact on Sustainable Development, Financial Inclusion, and Economic Development necessitates careful consideration. The research emphasizes the imperative for interdisciplinary collaboration, global cooperation, and vigilant strategies to address challenges and leverage opportunities arising from the rapid integration of digital financial services for inclusive and sustainable Economic Development.
Designing Effective Mobile Push Notifications: Machine Learning Insights into User Engagement Wicaksana, Dwi Yoga; Aisyah, Rheyna Jufri Sifa Zie; Qurrata A'yun, Dian Ulhaq
Journal of Digital Business and Innovation Management Vol. 3 No. 2 (2024): December 2024
Publisher : Universitas Negeri Surabaya

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Abstract

This study investigates the impact of mobile push notification design elements on user engagement, utilizing machine learning to derive actionable insights. By analyzing a dataset of over 700 million notifications from an e-commerce platform, the research evaluates the influence of three key features: the presence of emojis, deadlines, and subject line length. A logistic regression model was employed to identify the features most strongly associated with high engagement, defined as notifications receiving over 1,000 opens. The findings reveal that the inclusion of emojis significantly enhances engagement rates, achieving a 91% success rate compared to 20% for notifications without emojis. While deadlines slightly increased engagement, their effect was not statistically significant when examined in isolation. Subject line length demonstrated no consistent influence on engagement. However, a synergistic combination of emojis and deadlines yielded the highest engagement rates at 100%, emphasizing the value of integrating visual and psychological triggers.This study underscores the potential of machine learning in optimizing mobile push notification strategies, offering practical recommendations for businesses to refine their digital marketing efforts. These findings contribute to the growing body of literature on user engagement and provide a foundation for future exploration of notification design and effectiveness.
Co-Authors Aisyah, Rheyna Jufri Sifa Zie Dewi, Hapsari Shinta Citra Puspita Erta, Erta Qurrata A'yun, Dian Ulhaq