Priyanto, Hanif and Baskoro, Gembong and Sofyan, Edi (2021) Effective Performance Management Design on Remote Workforce Environment Using Integrated Seven Tools of Quality Control Analysis for Top Talent Employee Human Asset Value (HAV) Quadrant 1-4 In United Tractors. Masters thesis, Swiss German University.

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Abstract

The broad range of COVID-19 pandemic has impacted all level of industries all around the world, included business & system of management in United Tractors. This certainly has an impact on the way of performance management system of existing processes, from work from office became work remotely. The goal of this research is to find an effective performance management design according to the conditions of the remote work environment by using the seven tools of quality control and Pearson test analysis. By researching the relationship of each variable or performance factor that indicates the strong relationship to the performance achievement by adding the different data sets. The result of the strong correlation would be the initial solution for the next phase focus group discussion. This research indicate that the existing performance management system are no longer suitable with the new normal condition since the remote workforce are dominating the circumstances and also reflect that current management system needs to be improve into system that could be accessed, controlled, and measured by management. Thus, the new design improves employee performance coverage from 84% to 95%, engagement rate increase from 56,3% to 77,2%, and turn over decrease from 83% to 58%.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Performance Management, Seven Quality Control Tools, Pearson Test Analysis
Subjects:	H Social Sciences > HF Commerce > HF5549 Personnel management T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TS Manufactures > TS1109 Quality Control
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Faisal Ifzaldi
Date Deposited:	20 Aug 2021 02:07
Last Modified:	20 Aug 2021 02:07
URI:	http://repository.sgu.ac.id/id/eprint/2181

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