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Peer to Peer Lending Business Agility Strategy for Fintech Startups in the Digital Finance Era in Indonesia Hussain, Nazim
Startupreneur Business Digital (SABDA Journal) Vol. 2 No. 2 (2023): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v2i2.340

Abstract

Technology advancements have boosted financial technology literacy, and Fintech businesses have entered the peer-to-peer lending market to fill the gap between traditional banking and people who cannot obtain financing from banks. Financial facilitation can now be done in a more streamlined, quick, and economical manner thanks to technology. With the legislation of Authority of Financial Services Number 77/POJK.01/2016 Indonesian Fintech about information technology-based money lending services, the government has safeguarded consumers in Indonesia, where fintech has significant potential. The goal of this study is to provide an example of a business agility strategy used by financial technology firms that engage in peer-to-peer lending. This study used a qualitative research strategy combined with a descriptive methodology. Literature study is the method of data collection used. The findings demonstrate that P2P lending organizations have already employed a strategy of business agility to win clients in Indonesia's digital financial era by utilizing platform technology they have created, which is a straightforward tool for achieving competitive advantages.
Robotics and Automation with Artificial Intelligence: Improving Efficiency and Quality Hussain, Nazim; Pangilinan, Greian April
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2 (2023): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2.252

Abstract

The industrial and technological revolutions are accelerating globally as a result of the widespread adoption of new information and communication technologies like artificial intelligence (AI), the Internet of Things (IoT), and blockchain technology. Government, business, and academia are all paying close attention to artificial intelligence. In this study, a selection of well-read articles on artificial intelligence from recent publications is examined. The focus of this study is to offer an analysis of artificial intelligence using integrated industry information. It provides an overview of the extent of artificial intelligence using background information, motivating factors, technological advancements, and applications, as well as rational predictions for its future. This study can contribute to the field of artificial intelligence research and offer crucial knowledge to real-world practitioners. This study's key contribution is its clarification of the current state of the art in AI for further research.