1st Australian International Conference on Industrial Engineering and Operations Management

Employee Engagement and Satisfaction, Culture and Workload as Four Influencing Factors that Affects the Productivity and Work Performance Efficiency of Warehouse Workers in Taytay, Rizal.

0 Paper Citations
Track: Undergraduate Student Paper Competition


Warehouses are fast-paced environments where workers must collaborate to safely and quickly complete tasks. They will also need to pay close attention and work hard to keep things running smoothly.This research focuses on the variables that influence warehouse workers' performance efficiency and productivity, as well as how these variables can lead to inconsistent performance and unproductive workers. It also aims to provide knowledge on warehouses about the factors that influence the warehouse workers productivity and efficiency. The organization will gain how to make more informed decisions, complete tasks more effectively, and improve management. Additionally, the researchers want to make warehouse stakeholders aware of the significance of these factors to an organization. This study will show the company that fixing issues in this area boosts output and enhances worker performance.This research will focus on the warehouse workers in Taytay, Rizal. The proponents aim to determine the factors that affect the performance efficiency and productivity of the workers. The data will be gathered on 100 warehouse workers that are currently employed in Taytay, Rizal, Philippines.  The researcher used the following process to gather information regarding the specific factors affecting the performance efficiency and productivity of warehouse workers in Rizal. The researcher utilizes different platforms to gather data, and evaluation/survey questionnaires as ways to obtain the information by having the warehouse worker answer or fill out the evaluation questionnaire. The researchers involved descriptive statistics to contain the data in a way that offers a complete understanding of the data. Excel and Minitab were used in the data collection and analysis. In order to identify the various elements influencing the performance and productivity of warehouse workers, the central tendency measurements were also used to determine the level of correlation and the relative contributions of each predictor to the relationship, the researchers also conducted a multiple regression analysis on a result (the dependent variable). The researchers used the Pairwise Pearson's Correlation Technique to assess the strength and direction of the correlation between two linearly related continuous variables. It is used to examine whether performance efficiency and productivity have a connection to the different factors.


Warehouse Workers, Productivity, Performance efficiency, Multiple regression, Pearson’s Correlation

Published in: 1st Australian International Conference on Industrial Engineering and Operations Management, Sydney, Australia

Publisher: IEOM Society International
Date of Conference: December 21-22, 2022

ISBN: 979-8-3507-0542-3
ISSN/E-ISSN: 2169-8767