Deep Learning for Information Systems Research

Modern artificial intelligence (AI) is heavily reliant on deep learning (DL), an emerging class of algorithms that can automatically detect non-trivial patterns from petabytes rapidly evolving “Big Data.” Although the information systems (IS) discipline has embraced DL, questions remain about DL’s interface with a domain and theory DL contribution types. In this paper, we present research (DL-ISR) schematic reviews while considering role application environment knowledge base, summarizes extant in IS, framework (KCF) to position contributions, ten guidelines help IS scholars design, execute, for computational, behavioral, or economic research. We illustrate cybersecurity. This article’s resides conceptual DL-ISR KCF, its contributions practice are based practical executing DL-based projects.