A
Aleš Popovič
Researcher at University of Ljubljana
Publications - 81
Citations - 4509
Aleš Popovič is an academic researcher from University of Ljubljana. The author has contributed to research in topics: Business intelligence & Genetic programming. The author has an hindex of 26, co-authored 81 publications receiving 3337 citations. Previous affiliations of Aleš Popovič include University of Ljubljana, Faculty of Economics & NEOMA Business School.
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Viewpoint: Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application
TL;DR: A conceptual model that combines unified theory of acceptance and use of technology (UTAUT) with perceived risk with respect to usage behaviour of Internet banking is developed and some relationships of UTAUT are supported.
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Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM
TL;DR: The study found that facilitating conditions and behavioral intentions directly influence mBanking adoption, and initial trust, performance expectancy, technology characteristics, and task technology fit have total effect on behavioral intention.
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Towards business intelligence systems success: Effects of maturity and culture on analytical decision making
TL;DR: A quantitative survey-based study to examine the relationships between maturity, information quality, analytical decision- making culture, and the use of information for decision-making as significant elements of the success of BIS finds that BIS maturity has a stronger impact on information access quality.
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Determinants of end-user acceptance of biometrics
TL;DR: This study examines individual acceptance of biometric identification techniques in a voluntary environment, measuring the intention to accept and further recommend the technology resulting from a carefully selected set of variables.
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Extending the understanding of critical success factors for implementing business intelligence systems
William Yeoh,Aleš Popovič +1 more
TL;DR: This empirical study gives evidence to support the notion of CSFs and provides better contextual understanding of the CSFs in BI implementation domain, and allows BI stakeholders to holistically understand theCSFs and the associated contextual issues that impact on implementation of BI systems.