1st Australian International Conference on Industrial Engineering and Operations Management

Knowledge Management Analysis on the Performance of Logistics Personnel through Social Capital and Work Capabilities

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Track: Construction Management
Abstract

Performance can be measured through five indicators: quality, quantity, knowledge and skills, timeliness, and communication. The five measurement indicators are expected to form variable performance of logistics personnel through social capital and work capabilities in the South Sulawesi Regional Police (Polri) Brigade Mobile (Brimob) Unit. Therefore, with knowledge management to achieve the performance of logistics personnel through social capital and work capabilities in the South Sulawesi Police Brimob Unit as expected with performance achievement with operational, coaching, and administrative activities. This research approach used quantitative descriptive research to obtain a complete picture of the variables studied. The time used to conduct research is for 6 (six) months, from August 2020 to January 2021. Researchers obtained a population of Logistics personnel of the South Sulawesi Brimob Unit which amounted to 130 people. All the populations in this study were responded to, but at the time of data retrieval, only 98 people could be used because it was the only complete data. In comparison, as many as 32 people were incomplete due to retirement, mutations, and temporarily carrying out under operations control, so it could not be used in the analysis. The findings in this study of knowledge management of social capital and work capabilities on performance have a positive and significant influence. In contrast, knowledge management testing of social capabilities and capital on work capabilities and indirect testing of knowledge management on work capabilities through social capital shows a positive but insignificant effect.

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