Litcius/Paper detail

Data quality analytics, business ethics, and cyber risk management on operational performance and fintech sustainability

Rino Dwi Putra, Sri Mulyani, Sugiono Poulus, Citra Sukmadilaga

2022International Journal of Data and Network Science15 citationsDOIOpen Access PDF

Abstract

This study conducted a test to see the influence of data quality analytics, business ethics, and cyber risk management on operational performance and its implication on corporate sustainability of Fintech P2P Lending companies registered and licensed in Indonesian Financial Services Authority (OJK). This study used descriptive analysis and statistical method Structural Equation Modeling (SEM)-Lisrel. The data was collected by using questionnaires given to 104 managers from 91 Fintech P2P Lending companies registered and licensed at OJK until the end of December 2021. The results show that data quality analytics and cyber risk management had a positive and significant influence on operational performance. The results also show that analytical data quality, business ethics and cyber risk management had a positive and significant influence on operational performance. The findings of this study added to the limitations of the research literature on the elaboration of variables that determine performance and business sustainability in Fintech P2P lending.

Topics & Concepts

BusinessLISRELStructural equation modelingOperational risk managementAnalyticsAccountingRisk managementOperational riskQuality (philosophy)SustainabilityDescriptive statisticsKnowledge managementProcess managementComputer scienceFinanceData scienceStatisticsEcologyPhilosophyBiologyMachine learningMathematicsEpistemologyData Mining and Machine Learning ApplicationsBig Data and Business Intelligence