Smart cities play a vital role in the growth of a nation. In recent years,
several countries have made huge investments in developing smart cities to
offer sustainable living. However, there are some challenges to overcome in
smart city development, such as traffic and transportation man-agement, energy
and water distribution and management, air quality and waste management
monitoring, etc. The capabilities of the Internet of Things (IoT) and
artificial intelligence (AI) can help to achieve some goals of smart cities,
and there are proven examples from some cities like Singapore, Copenhagen, etc.
However, the adoption of AI and the IoT in developing countries has some
challenges. The analysis of challenges hindering the adoption of AI and the IoT
are very limited. This study aims to fill this research gap by analyzing the
causal relationships among the challenges in smart city development, and
contains several parts that conclude the previous scholars work, as well as
independent research and investigation, such as data collection and analysis
based on DEMATEL. In this paper, we have reviewed the literature to extract key
chal-lenges for the adoption of AI and the IoT. These helped us to proceed with
the investigation and analyze the adoption status. Therefore, using the PRISMA
method, 10 challenges were identified from the literature review. Subsequently,
determination of the causal inter-relationships among the key challenges based
on expert opinions using DEMATEL is performed. This study explored the driving
and dependent power of the challenges, and causal relationships between the
barriers were established.

本研究分析智慧城市发展中的挑战，重点是技术采用方面，如物联网和人工智能，在发展中国家面临挑战。通过 DEMATHEL 数据分析方法，列出了 10 项挑战，并建立了障碍物之间的因果关系。