Analysis of workers compensation using multiple linear regression model:  a case study in an estates and mills company

Nor Hasliza Mat Desa

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Type :	Article
Subject :	HD Industries. Land use. Labor
ISSN :	2289-7070 / e-ISSN 2462-2451
Main Author :	Nor Hasliza Mat Desa
Additional Authors :	Mohd Saiful Adli Mohamad See, Chun Kit
Title :	Analysis of workers compensation using multiple linear regression model: a case study in an estates and mills company
Hits :	2

Place of Production :	Tanjong Malim
Publisher :	UPSI Press
Year of Publication :	2025
Notes :	EDUCATUM JSMT Vol. 12 Number 2 (2025)
Corporate Name :	Perpustakaan Tuanku Bainun
PDF Full Text :	You have no permission to view this item.

Abstract : Perpustakaan Tuanku Bainun

Fair and open compensation is a critical component of employees_ happiness and satisfaction. To provide competitive and equitable pay, an analysis of current compensation is necessary. Therefore, the main goal of this paper is to investigate the relationship between possible factors and compensation among 368 workers who work in the mills and estates sector in Malaysia. This paper also aims to identify the differences in compensation between different job types and races. The result of the multiple linear regression model showed that only five factors (monthly working days, race, gender, worker type, and job type) were significantly associated with worker_s compensation. This paper also revealed that the monthly compensation for the four job types held by workers, which consist of general worker, harvester, mill worker, and rubber tapper in estates and mills, differed through the Kruskal-Wallis test. To conclude, the findings of this paper could support the strategic goals of the business, benchmark compensation, enhance compensation decision-making, and provide a more equitable compensation structure for workers. Keywords: compensation, Kruskal-Wallis Test, Multiple Linear Regression, Spearman Correlation Analysis, sustainability

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