The impact of flexibility and responsiveness on the financial performance in Malaysia's manufacturing industry during the COVID-19 pandemic

In order to combat the disruption caused by COVID-19, it is essential for the company's operations to implement flexibility and responsiveness in their work. In this study, the researchers will investigate the effect of these two variables on the financial performance of the company. The current study evaluates the data obtained from 215 manufacturing companies in Malaysia. The data is collected and analysed using PLS-SEM in order to provide an in-depth look at the issue. The results show that flexibility and responsiveness are positively related to a company's financial condition. The primary contribution of this study is to provide the management of company with a ground-breaking idea of dealing with a pandemic situation in the current business environment. A company's capacity to survive also depends on planning changes, particularly those that affect supply chain management and production operations. When making tough decisions, managers must be less rigid and more flexible. Demand management, inventory management, supply chain management, and operation management are some of the things that call for flexibility and responsiveness. The business will experience losses if they are unable to meet the demands of the COVID-19 era and maintain business operations. Of course, this will have an impact on the company's financial performance. © 2023 by the authors;licensee Online Academic Press, USA.

Analysis of COVID-19: An infectious disease spread

This study utilizes the Logistic Growth Curve (LGC) based forecast model to assess the effectiveness of Stay At Home (SAH) Order on COVID-19 pandemic spread in California while making comparisons and visualizations for multiple countries. In comparing results, previous work relied on confirmed or death cases which not scientifically valid due to the differences of population sizes of each country. We presented several methods being used in the past and how we utilize percentages, normalization and derivatives to help our evaluation and comparisons of several countries using our model. Our approach compared the spread of the virus considering the growth rate and developed a quantitative measure that can help compare quantitatively between multiple states or countries. In our analysis, we showed evidence to suggest that the forecast results correspond to the progress and effectiveness of the SAH Order in flattening the curve, which is useful in controlling the spike in the number of active COVID-19 patients. © 2022, Innovative Information Science and Technology Research Group. All rights reserved.

Evaluation of the effectiveness of movement control order to limit the spread of COVID-19

This study presents a prediction model based on Logistic Growth Curve (LGC) to evaluate the effectiveness of Movement Control Order (MCO) on COVID-19 pandemic spread. The evaluation assesses and predicts the growth models. The estimated model is a forecast-based model that depends on partial data from the COVID-19 cases in Malaysia. The model is studied on the effectiveness of the three phases of MCO implemented in Malaysia, where the model perfectly fits with the R2 value 0.989. Evidence from this study suggests that results of the prediction model match with the progress and effectiveness of the MCO to flatten the curve, and thus is helpful to control the spike in number of active COVID-19 cases and spread of COVID-19 infection growth. © 2020 by the author(s). Published by Annals of Emerging Technologies in Computing (AETiC).