Abstract
In this paper, the researcher tried to provide a systematic review and synthesis of practice-based literature on AI, highlighting what leading industry entities and experts understand by AI in United Arab Emirates (UAE). I use these findings to propose an (AI) adoption, use and impact classification framework for information systems (IS) research and propose a corresponding research agenda. Artificial intelligence (AI) has the potential to enhance every component of information system (IS) at the individual, organizational and societal level. However, (AI) technologies are being developed and commercialized at an unprecedented speed making it hard for (IS) researchers and practitioners to keep up with these technologies and how they can enhance IS. The technologies have evolved so fast in the last 15 years that many companies have tried and failed to implement AI without truly understanding what it is. Therefore, understanding (AI) from the perspective of the leading developers of related technologies is crucial for its adoption, use and impact on IS.
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Al-Qudah, A.A. (2022). Artificial Intelligence in Practice: Implications for Information Systems Research, Case Study UAE Companies. In: Musleh Al-Sartawi, A.M.A. (eds) Artificial Intelligence for Sustainable Finance and Sustainable Technology. ICGER 2021. Lecture Notes in Networks and Systems, vol 423. Springer, Cham. https://doi.org/10.1007/978-3-030-93464-4_23
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