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Improving employees retention rate through knowledge management and business intelligence components

Surbakti, Herison and Ta'a, Azman (2016) Improving employees retention rate through knowledge management and business intelligence components. In: Knowledge Management International Conference (KMICe) 2016, 29 – 30 August 2016, Chiang Mai, Thailand.

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The fundamental thrust of this paper is to uncover certain dimensions of organizational context through Knowledge Management (KM) and Business Intelligence (BI).KM is identified as important antecedent of employee retention that leads to direct their positive attitude toward work place. The structural model indicates that KM and BI strategies integer worker instant to retain. For data collection, the unbiased sources have been used i-e., past literature, journals, and secondary data of discussions with top management and employee’s feedback.An analysis of the big data serves as the basis for determining the impact of KM trough BI and using employee retention scale.This paper discusses some reasons for turnover to include components of BI. The problems with so much data from sensors, social media, and online applications often flow and accumulate much faster than humans could possibly analyze or act on it. Further, the lack of analytical system drives organizations to a lot more depends to their employees.Most significant findings for this study demonstrate that the needs of the good analytical system in BI could generalize the training sets of data so that can help the organizations to improving their employees’ retention rate.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 978-967-0910-19-2
Uncontrolled Keywords: Knowledge Management, Business intelligence, Employee retention rate, Analytical Systems
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: School of Computing
Depositing User: Dr. Azman Ta'a
Date Deposited: 23 Nov 2016 07:47
Last Modified: 23 Nov 2016 07:47
URI: http://repo.uum.edu.my/id/eprint/20021

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