Efficient management of working capital is essential for firms to avoid overinvesting in short-term assets for maximum profitability while guaranteeing much-needed liquidity to run their operations. This study examines the impact of working capital management on firms’ profitability in the automotive industry in Europe before and during the COVID-19 pandemic period. The automotive industry is vital to the European economy, being a major component of the total industrial value added to the GDP of the continent. Existing research on this topic is inconclusive, and there is a gap in the literature exploring the working capital management effect on firm performance in periods of crisis. Unlike most research, this study focuses on a single industry to better capture the impact of working capital management on firm profitability. It also adds the COVID-19 dimension to stress the importance of proper working capital management, especially in periods of economic distress. The results show that the receivables collection period, inventory conversion period, accounts payable period, and cash conversion cycle have a significant negative impact on ROA for both the pre-pandemic and pandemic period, suggesting that managers must be prudent regarding their firm’s credit policy by not being overly generous with credit terms and making every effort to promptly collect their receivables. Moreover, excessive levels of inventory impair profitability by locking up valuable cash reserves, which are vital, especially in periods of crisis. Though seemingly counterintuitive, being profitable also means not postponing payables settlement unnecessarily.

This study describes the construction of a new algorithm where image processing along with the two-step quasi-Newton methods is used in biomedical image analysis. It is a well-known fact that medical informatics is an essential component in the perspective of health care. Image processing and imaging technology are the recent advances in medical informatics, which include image content representation, image interpretation, and image acquisition, and focus on image information in the medical field. For this purpose, an algorithm was developed based on the image processing method that uses principle component analysis to find the image value of a particular test function and then direct the function toward its best method for evaluation. To validate the proposed algorithm, two functions, namely, the modified trigonometric and rosenbrock functions, are tested on variable space.

These days, the fundamental target of all organizations is to accomplish a reasonable gainfulness. Organizations are looking to decide the elements, which has direct impact on their benefit and attempt to investigate them so as to pick up favorable circumstances on their rivals. With this solid aggressive market, holding customers turns into the fundamental objective of telecom mobile service providers opposed to drawing in new customers, since the expense of holding a customer is viewed as low contrasted with the expense of pulling in another customer as referenced before by numerous researchers. Thus, Customer Churn Analytics is one of the significant elements that organizations should concentrate on to help their goal of accomplishing a reasonable benefit. In Telecommunication area, the business aims to serve customers, and analyzing customer churn will give the executives a thought regarding the probability of a customer to leave the organization. The primary goal of this paper is to highlight the main factors that affect customer churn and then analyze them by using the Binary Logistic Regression Model. A case study in Kuwait telecommunication section was taken as an application for such algorithm. A non-probability sampling technique is used (Snowball) to select a sample of 120 customer and analyze them by using the statistical software SPSS and MINITAB, results shows that the Customers’ Gender, Marital Status, Monthly Bill as well as the Service Quality have significant effects on Customer Churn.

Maintenance is a process for which the objective is to keep the equipment in a working, efficient and cost-effective condition. There are different techniques used in maintenance, such as corrective, preventive and predictive maintenance. This paper is a review about preventive & predictive maintenance to learn more about the benefits of each type and how the implementation process should be for the telecommunication equipment. In addition, the role of the original equipment manufacturer has been summarized. Also, the link between stock of equipment and maintenance for an optimized solution discussed due to its high importance in the maintenance field.

American scientific publishing group