Understanding Factors Influencing the Adoption of AI-enhanced Air Quality Systems: A UTAUT Perspective-Reference-Cited by-同舟云学术

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Understanding Factors Influencing the Adoption of AI-enhanced Air Quality Systems: A UTAUT Perspective

Published:2023-12-08 Issue: Volume:6 Page:1-6
ISSN:
Container-title:2023 Eighth International Conference on Informatics and Computing (ICIC)
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Author:

Chakim Mochamad Heru Riza¹,Aini Qurotul²,Sunarya Po Abas³,Santoso Nuke Puji Lestari⁴,Kusumawardhani Dhiyah Ayu Rini³,Rahardja Untung³

Affiliation:

1. University of Raharja,Strategic Entrepreneurship,Tangerang,Indonesia

2. University of Raharja,Faculty of Information Technology,Tangerang,Indonesia

3. University of Raharja,Faculty of Science and Technology,Tangerang,Indonesia

4. University of Raharja,Department of Science and Technology,Tangerang,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10381889/10381891/10381920.pdf?arnumber=10381920

Reference26 articles.

1. Enhancing Organizational Efficiency through the Integration of Artificial Intelligence in Management Information Systems

2. User Involvement on Air Quality in Incubation Rooms in Banten-Indonesia

3. Image-based Air Quality Prediction using Convolutional Neural Networks and Machine Learning

4. Enhancing Machine Learning with Low-Cost P M2.5 Air Quality Sensor Calibration using Image Processing

5. Portable Monitoring Systems for Rivers Waste Based on Internet of Things

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