Examining Factors Influencing Blockchain Technology Adoption in Air Pollution Monitoring
Keywords:
Blockchain technology, Technology Acceptance Model (TAM), Air pollution monitoring systemsAbstract
This study examines key factors that affect blockchain technology adoption used for air pollution monitoring. The proposed system is based on ‘IoT’ (Internet of Things) and ‘Blockchain’ technology. It will be highly useful in monitoring and storing air pollution data of cities and of areas densely populated by factories. Similar existing systems are mostly based on architectures that are centralized and involve human interaction to retrieve data. Most of them take up a lot of space and require a high amount of power supply. The proposed pollution monitoring system is leveraging on IoT sensors for data retrieving and storing, which can be designed to fully decentralize the system by using the NEM Blockchain technology. A mixed method is utilized for this research which consists of both quantitative and qualitative data collection tools from the selected participants. The study uses both qualitative in-depth interviews and quantitative research techniques to capture the data and processes that are significant to users in their assessment of Blockchain technology in tracking pollution. The purpose of the research is threefold; to identify the factors determining the willingness of the public to use Blockchain technology in monitoring air pollution, to examine the extent to which these factors affect Blockchain technology adoption, and to develop a Blockchain-powered air pollution monitoring system that will resolve the existing problems in the society. Assuming that most innovations considered till now comprise business-related devices, the current study will obtain a trial based model in an alternate setting and add to the existing knowledge base regarding the adoption determinants of Blockchain air pollution monitoring system.
Downloads
References
No reference
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Karthik Moudgalya Umesh, Abdul Rahman Bin S. Senathirajah, R. A. Sheedul Haque, Gan Connie
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.