Abstract

This research aims to identify the employee engagement and pricing systems used by manufacturing companies. This study used primary data, and 185 questionnaires were distributed to and collected from the industrial companies. For data analysis, descriptive statistics, the T-test, and a linear regression model were used. Regression analysis and the homogenous Duncan test were employed to test the hypotheses. The outcome demonstrates that pricing selections at 4.58 averages and 4.36 customer profits are made mostly using costing information. 4.09 and 4.06 analysis activities and purchase decisions are two more helpful areas where cost information is employed. The value of 2.125e3 for the F-statistic and the 5 percent level of significance show that the industries differ significantly. The number of orders placed with the company and the length of time it takes to complete all orders have a negative impact on the total cost of overhead by 3.1 percent and 22 percent, respectively, whereas the number of product batches and the number of production pieces have a positive impact on the total cost of overhead by 91.5 percent and 21.1 percent, respectively. The study comes to the conclusion that factors such as the quantity of orders that manufacturing companies receive, the duration of total production, the size of product batches, and piecemeal production all have a substantial impact on overall overhead expenses.

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