2020
DOI: 10.6007/ijarbss/v10-i4/7114
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Factors Influencing Labour Productivity in Oil Palm Estate

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2023
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Cited by 1 publication
(2 citation statements)
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“…The Durbin-Watson value is 1.446, clarifying that no autocorrelation between each of the independent variables, with the value for the Durbin-Watson analysis should lie between 1 and 3. These findings are in line with Zulkefli et al (2020), where the regression model explained 52.9% of the total variation of oil palm estate productivity in Melaka. A similar trend was also observed by Shah (2016) and Bagum et al (2021) where their regression model explained 55% and 44.8%, respectively.…”
Section: Impacts Of Workers' Behaviour On Plantation Performancesupporting
confidence: 89%
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“…The Durbin-Watson value is 1.446, clarifying that no autocorrelation between each of the independent variables, with the value for the Durbin-Watson analysis should lie between 1 and 3. These findings are in line with Zulkefli et al (2020), where the regression model explained 52.9% of the total variation of oil palm estate productivity in Melaka. A similar trend was also observed by Shah (2016) and Bagum et al (2021) where their regression model explained 55% and 44.8%, respectively.…”
Section: Impacts Of Workers' Behaviour On Plantation Performancesupporting
confidence: 89%
“…Marcus et al (2021); Saad et al (2021); Shah (2016) indeed discovered that wages and benefits are the main factors that influence a worker's productivity. This classical finding is expected as many researchers attribute the monetary aspect as the workers' primary motivation to work and perform their tasks (Wiley, 1997;Patro, 2013;Jasni & Othman, 2017;Troung & Le, 2020;Zulkefli et al, 2020). Motivated workers tend to perform effectively in the organization and improve organizational performance at will (Selvanathan et al, 2016).…”
Section: Impacts Of Workers' Behaviour On Plantation Performancementioning
confidence: 94%