Foresight Study on Artificial Intelligence in Smart Dustbin

Authors

  • Shazaitul Azreen Rodzalan Department of Management and Technology, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia
  • Nur Sabrina Nadia Mohd Jasni Department of Management and Technology, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia
  • Noor Nazihah Mohd Noor Department of Management and Technology, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia
  • Maisarah Mohamed Saat Azman Hashim International Business School, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia
  • Mohd Hasan Malaysian Industry-Government Group for High Technology, 63000 Cyberjaya Selangor, Malaysia

DOI:

https://doi.org/10.37934/aram.109.1.1734

Keywords:

Smart dustbin, Artificial Intelligence, waste management, service provider

Abstract

As a developing country, Malaysia is still struggling with the waste management. It is impossible to maintain the same amount of waste that need to be disposed every day. Thus, smart dustbin with Artificial Intelligence (AI) is one of the solutions to ensure waste management able to be disposed effectively. By considering the importance of waste management, this study aims to identify issues and drivers related to AI in smart dustbin among service providers in Malaysia and examine future trends of AI in smart dustbin among service providers in Malaysia. Respondents are among top management of waste management company in Selangor. Qualitative and quantitative method were used by analysing data using descriptive analysis, scenario building and impact-uncertainty. Two drivers selected from impact-uncertainty analysis are outstanding performance of AI and problems on managing waste. In examining future trends, there are four scenarios were projected, which are expertise on AI application, prioritize current waste management practices, effective use of smart dustbin, and Research and Development financial constraint. The findings of this study benefits to the stakeholders as they able to plan and prepare with effective planning in managing the waste in future.

Author Biographies

Shazaitul Azreen Rodzalan, Department of Management and Technology, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia

shazaitul@uthm.edu.my

Nur Sabrina Nadia Mohd Jasni , Department of Management and Technology, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia

nsabrinadia@gmail.com

Noor Nazihah Mohd Noor, Department of Management and Technology, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia

gp190120@student.uthm.edu.my

Maisarah Mohamed Saat , Azman Hashim International Business School, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia

maisarahsaat@utm.my

Mohd Hasan , Malaysian Industry-Government Group for High Technology, 63000 Cyberjaya Selangor, Malaysia

hasan@might.org.my

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Published

2023-10-15

How to Cite

Shazaitul Azreen Rodzalan, Nur Sabrina Nadia Mohd Jasni, Noor Nazihah Mohd Noor, Maisarah Mohamed Saat, & Mohd Hasan. (2023). Foresight Study on Artificial Intelligence in Smart Dustbin . Journal of Advanced Research in Applied Mechanics, 109(1), 17–34. https://doi.org/10.37934/aram.109.1.1734

Issue

Vol. 109 No. 1: September (2023)

Section

Articles