PSU Research Review (Nov 2024)

Artificial intelligence in urban services in Malaysia: a review

  • Mohamad Shaharudin Samsurijan,
  • Andrew Ebekozien,
  • Noor Alyani Nor Azazi,
  • Maslina Mohammed Shaed,
  • Radin Firdaus Radin Badaruddin

DOI
https://doi.org/10.1108/PRR-07-2021-0034
Journal volume & issue
Vol. 8, no. 2
pp. 321 – 340

Abstract

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Purpose – Studies showed that a proactive delivery system employing innovative artificial intelligence (AI) in urban services might perform better. This has become an important national policy for many countries. Thus, this study aims to explore the influence of AI in urban services in Malaysia. Design/methodology/approach – Official documents such as Structure Plan and Government Transformation Programme Policy Document covering various levels of cities in Malaysia, articles related to urban studies mostly written by researchers regarding urban growth in Malaysia and the Urban Development Bulletin from the Federal Department of Town and Country Planning from 1957 to date were reviewed and analysed. Findings – The findings show that the influence of AI in urban services has long existed and been carefully planned by local authorities since colonial times. The development of global digital technology influences the upgrading of AI in urban services in Malaysia. Also, the success of AI in these municipal services is influenced by the rate of information technology literacy among the urban population. These developments have led to the definition of a conceptual city. Research limitations/implications – This paper's findings and conclusion were based on reviewed literature but did not compromise the strength of this paper. Thus, as part of the implications for future research, mixed-methods research design has been suggested. Practical implications – As part of the implications, this article intends to promote AI in urban services in Malaysia and other developing countries with similar urban services challenges. Originality/value – This paper encourages AI applications in urban services because it enhances service delivery performance. This intends to key stakeholders to promote AI via policies across Malaysia's urban services as part of the study implications.

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