نبذة مختصرة : Although AI is a trending topic and many industries are eager to adopt this technology, its successful implementation at the organizational level remains low. The majority of organizations are struggling with the assessment of AI initiatives to make informed investment decisions. The port and maritime industries are no exception in this regard. This research offers a concrete methodology to compare AI project portfolios based on their perceived deployment complexity. It first identifies the characteristics of AI initiatives that contribute to the overall deployment complexity of AI projects. Then, it leverages a list of characteristics as a typology and develops a structured framework for calculating the relative complexity of AI project portfolios and ranking them for further decision-making. A comprehensive literature review is first carried out on various topics, including technology adoption theories, to develop the AI typology. Afterward, the study calculates the deployment complexity of four AI project portfolios based on the data collected through interviews concerning the designed typology framework. The AI project portfolios are finally ranked based on their deployment complexity in the typology dimensions under different conditions. Using this novel assessment framework, port stakeholders can prioritize their AI project portfolios and start from AI initiatives under the least complex AI portfolio to build experience in AI deployments, minimizing the potential impact of failures.
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