The analysis of the effect of motivators on the performance of warehouse employees in distribution centers

Abstract

PURPOSE: The aim of this paper is to conduct an analysis of the effect of motivators on the employees’ performance in handling system orders at the warehouse of distribution center.

DESIGN/METHODOLOGY/APPROACH: Three employees included in the study were post probationary period, while two employees were on probationary period. In the first stage, a face-to-face interview was conducted with each representative of the study group in order to gain a closer understanding of each individual and then, based on the responses obtained, a decision was made to introduce an appropriate experimental factor into the research process. The moment when the selected motivator was applied to each employee allowed to passively generate relevant data, such as percentage productivity and productivity in pieces of completed items. The printouts of the employees’ performance constituted documents that were thoroughly analyzed in order to create the database needed to conduct the performance study and statistical analysis. Statistical analysis was the final stage in the entire project and research process. The analysis consisted of two parametric tests, t-test for independent groups and one-way analysis of variance (ANOVA), supplemented by a multiple comparisons LSD (Least Significant Differences) test.

FINDINGS: The results supported the hypotheses set regarding the effect of motivators on average productivity, on average daily number of items completed, and the form of employment on the work efficiency of warehouse workers.

PRACTICAL IMPLICATIONS: The research results have practical implications for every distribution center. Research results can be helpful for managers. Knowing about the motivators of warehouse workers allows you to build an appropriate motivation system.

ORIGINALITY/VALUE: The originality of the presented research results from the applied research methods. This analysis consisted of two parametric tests: t-test for independent groups and one-way analysis of variance (ANOVA), supplemented by a multiple comparisons LSD (Least Significant Differences) test.