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p-Index From 2020 - 2025
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All Journal West Science Interdisciplinary Studies
Halek Mu'min
Univ IEU Surabaya
Humanities Economics, Econometrics & Finance Social Sciences

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Bibliometric Analysis of Mobile Payment Technology Innovation in Financial Transaction Transformation Eva Yuniarti Utami; Halek Mu'min; Agung Zulfikri
West Science Interdisciplinary Studies Vol. 2 No. 04 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i04.795

Abstract

Mobile payment technology has become increasingly prevalent, reshaping the landscape of financial transactions globally. This study conducts a comprehensive bibliometric analysis to explore the trends, patterns, and dynamics surrounding mobile payment technology innovation. Through systematic data collection and analysis, key themes, influential authors, pivotal publications, and emerging topics in the field are identified and examined. The analysis reveals the transformative impact of mobile payment technology on financial systems, consumer behavior, and business models. Moreover, it underscores the significance of understanding the underlying factors influencing innovation in this domain. The findings provide valuable insights for researchers, policymakers, industry practitioners, and consumers, informing strategic decision-making and technological development efforts in the financial and technology sectors.
The Effect of AI Technology, Innovation Readiness, and Digital Entrepreneurship on Competitive Advantage in Start Up in Jakarta Bakri Bakri; Ajub Ajulian ZM; Siska Yulia Defitri; Halek Mu'min
West Science Interdisciplinary Studies Vol. 2 No. 04 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i04.807

Abstract

This study investigates the impact of AI technology adoption, innovation readiness, and digital entrepreneurship on competitive advantage in startup enterprises within Jakarta's entrepreneurial ecosystem. A quantitative approach employing Structural Equation Modeling (SEM) with Partial Least Squares (PLS) analysis was utilized to analyze data collected from 229 startup founders and executives. The findings reveal significant positive relationships between AI technology adoption, innovation readiness, digital entrepreneurship, and competitive advantage. Specifically, startups that strategically embrace AI technologies, foster innovation readiness, and leverage digital entrepreneurship practices demonstrate higher levels of competitive advantage. The study contributes to theoretical understanding by extending literature on technology-driven entrepreneurship and provides practical insights for startup stakeholders and policymakers aiming to enhance the competitiveness of Jakarta's startup ecosystem.
Co-Authors Agung Zulfikri Ajub Ajulian ZM Bakri Eva Yuniarti Utami Siska Yulia Defitri