%0 Conference Paper
%A Millatina, N.
%A Savita, K.S.
%D 2022
%F scholars:17304
%I Institute of Electrical and Electronics Engineers Inc.
%K Electronic equipment; Electronic Waste; Gas industry; Oils and fats; Sustainable development; Wastes, Case-studies; Digital transformation; Digitisation; DPSIR model; Electronic waste managements; Electronics wastes; Environmental sustainability; Food chain; Oil and Gas Industry; Oil and Gas Sector, Internet of things
%P 278-283
%R 10.1109/ICDI57181.2022.10007089
%T Exploring E-Waste Management in the Oil and Gas Industry: A Case Study
%U https://khub.utp.edu.my/scholars/17304/
%X The topic of Electronic Waste (E-Waste) has been getting an increasing amount of spotlight from the whole world over the past decade. Getting producers and consumers all across the food chain to manage E-Waste properly is an uphill battle. It seems to be a bigger challenge now than ever before due to digital transformation. Different industries are increasingly using the words digitization, digitalization, and digital transformation. In order to stay at the forefront of the Industry 4.0 revolution, cooperation from diverse industries is investing in the most cutting-edge technologies as part of the alignment of business strategy and information technology strategy. This reflects the input, which is at one point in the value chain of the product. The output is another point in the product value chain. When Internet-of-Things (IoT) hardware, electrical circuits, and sensors reach their End-of-Life, the amount of E-Waste they generate is used to represent the output (EOL). This paper is hoped to shed some light on how much the oil and gas sector emphasizes E-Waste. It is a component of a study on how the oil and gas industry manages E-Waste. The methodology that is used in conjunction with the single case study approach introduces Design Thinking. Driver-Pressure-State-Impact-Response Model, or DPSIR Model, is the foundation of the research model. © 2022 IEEE.
%Z cited By 0; Conference of 2022 International Conference on Digital Transformation and Intelligence, ICDI 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:185994