S Alsheibani, Y Cheung… - Pacific Asia Conference …, 2018 - research.monash.edu
… Although an extensive body of literature relating to AI techniques already exists, this is not the case for AI adoption in organisations. This research-in-progress seeks to propose a …
H Herath, M Mittal - International Journal of Information Management Data …, 2022 - Elsevier
… This review explores how artificialintelligence is being used in the modern smart city to address the problems. Furthermore, we found no viable review papers on AI adoption in smart …
… potential of artificialintelligence (AI), many public organizations struggle to adopt this technology. Simultaneously, empirical research on what determines successful AI adoption in …
H Chen, L Li, Y Chen - Journal of Management Analytics, 2021 - Taylor & Francis
… AI adoption are identified in existing literature, the impact of success factors on AI adoption … explore the impacts of success factors on AI adoption in telecom industry by integrating the …
FD Weber, R Schütte - Digital Policy, Regulation and Governance, 2019 - emerald.com
Purpose In the most abstract way, artificialintelligence (AI) allows human work to be shifted toward technological systems that are currently not fully capable. Following this, the domain …
A Khanijahani, S Iezadi, S Dudley, M Goettler… - Health Policy and …, 2022 - Elsevier
… Shows contributing factors to the adoption of artificialintelligence in the healthcare sector. … search strategies: users or beneficiaries, artificialintelligence, and adoption (see Table 1). We …
… of artificialintelligence (AI) adoption focus on its adoption at the individual task level. What has received significantly less attention is how AI adoption … AI adoption may, therefore, require …
… The purpose of this study is to develop a synthesized conceptual framework for artificial intelligence (AI) adoption in the field of business-to-business (B2B) marketing. … Drivers of …
P Grover, AK Kar, YK Dwivedi - Annals of Operations Research, 2022 - Springer
In this digital era, data is new oil and artificialintelligence (AI) is new electricity, which is needed in different elements of operations management (OM) such as manufacturing, product …