Investigation of Employee Productivity factors and Conceptual Model Development: A Case of NA Metal Industry and Engineering
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Date
2021-06
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Addis Ababa University
Abstract
This research was carried out in NA Metal and Engineering in Ethiopia's, which is a metal producing company. The goal of this research is to create an improvement conceptual model by looking into the aspects that influence employee productivity. Employee productivity is a ratio of how much a person's knowledge and skills, as well as his work, influence the outcome.
According to the collected corporate data, the company's production plan capacity was 1196 trailers per year, whereas actual production during the last five years averaged 284 trailers per year. The discrepancy between actual and planned trailer production is 912 trailers per year, indicating that the company is producing below capacity. The cause of producing below capacity has been attributed to a variety of factors, one of which is a lack of employee productivity, which accounts for 18 percent of the company's productivity loss.
Workplace environment, workplace safety, information technology, human resource management, and organizational culture were chosen from a literature analysis as five elements that have a high impact on employee productivity. A well-structured questionnaire has been designed and distributed to all employees to study the influence of those elements on the selected case company. Software such as SPSS, Microsoft Excel, and Mind Manager were used to analyze the obtained data and display the results.
The study's findings reveal that factor such as work environment and workplace safety have a low impact on the case company, however human resource management and organizational culture have a strong impact. Meanwhile, the investigation reveals that technology has an equal good and negative impact on the selected case company's staff productivity. It is recommended that a future examination be undertaken on other elements, including a detailed investigation of the technology component.
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Keywords
Employee productivity, Employee productivity impairing and enhancement factor, conceptual model