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Data Driven Decision Analysis on the Performance of Electronic Companies with TOPSIS Model

Lam Weng Siew, Lam Weng Hoe, Mohd Abidin Bakar, and Lee Pei Fun
Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar, Perak, Malaysia

Abstract—The electrical and electronic (E&E) industry has been booming since the beginning of the 21st century and has continued to accelerate and prove its significance in the fourth industrial revolution. A strong financial performance of an E&E company is able to ensure the smooth running of daily operations, and the growth and expansion of business through extensive research and development activities. Data driven decision making allows the use of factual and verifiable metrics to help a company achieve business objectives with informed decision making through data analytics. E&E companies which adopt the data driven decision-making process will be able to understand their business performances better through business analytics while more detailed transparency in business reporting will help investors to select companies for investments. Therefore, a proposal to design a conceptual framework for the analysis and evaluation of the financial performance of E&E companies using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model is done. This paper has found that UCHITEC is closest from the ideal solution and is the top financially performing company among the studied companies. This paper shows the significance of the evaluation, comparison and ranking of the financial statuses of E&E companies in Malaysia with TOPSIS model.
 
Index Terms—TOPSIS model, conceptual framework, ideal solution, performance

Cite: Lam Weng Siew, Lam Weng Hoe, Mohd Abidin Bakar, and Lee Pei Fun, "Data Driven Decision Analysis on the Performance of Electronic Companies with TOPSIS Model," Journal of Advances in Information Technology, Vol. 13, No. 1, pp. 61-66, February 2022. doi: 10.12720/jait.13.1.61-66

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.