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Selling virtual currency in digital games : implications for gameplay and social welfare

Guo, Hong; Hao, Lin; Mukhopadhyay, Tridas; Sun, Daewon - In: Information systems research : ISR 30 (2019) 2, pp. 430-446

Persistent link: https://www.econbiz.de/10012038237

Freemium pricing in digital games with virtual currency

Meng, Zixuan; Hao, Lin; Tan, Yong - In: Information systems research : ISR 32 (2021) 2, pp. 481-496

Persistent link: https://www.econbiz.de/10012599861

Old Frauds with a New Sauce : Digital Coins and Behavioral Paradigms

Dupuis, Daniel; Gleason, Kimberly C. - 2021

In this paper, we explore the conversion of market frauds from stocks to virtual assets. We investigate the transition from traditional to digital for six schemes: ransomware, price manipulations, “pumps and dumps”, misrepresentation, “spoofing” and Ponzi schemes to find that the advent...

Persistent link: https://www.econbiz.de/10013214008

Audit digitalization and its consequences on the audit expectation gap : a critical perspective

Fotoh, Lazarus Elad; Lorentzon, Johan Ingemar - In: Accounting horizons : a quarterly publication of the … 37 (2023) 1, pp. 43-69

Persistent link: https://www.econbiz.de/10014314677

Impact of COVID-19 pandemic on the digital transformation and digital frauds in the US economy

Shashidhar - In: International journal of intellectual property … 12 (2022) 3, pp. 429-448

Persistent link: https://www.econbiz.de/10014320549

Does openness increase vulnerability to digital frauds? : observing social media digital footprints to analyse risk and legal factors for banks

Murthy, Nilaya; Gopalkrishnan, Santosh - In: International journal of law and management 64 (2022) 4, pp. 368-387

Persistent link: https://www.econbiz.de/10013336358

Automatic Machine Learning Algorithms for Fraud Detection in Digital Payment Systems

Kolodiziev, Oleh; Mints, Aleksey; Sidelov, Pavlo; … - 2021

constantly growing. The issue of payment fraud will be exacerbated by the digitalization of economic relations, in particular the … study is to synthesize effective models for detecting fraud in digital payment systems using automated machine learning and … the sample. The accuracy of fraud detection is also high (79‒85 %).The results of our study confirm the effectiveness of …

Persistent link: https://www.econbiz.de/10013251229