Integrating The Features Of Knowledge Management (KM) And Business Intelligence (BI) For Developing Organizational Performance Framework-A Diagnostics Dashboard

Jayakrishnan, Mailasan and Mohamad, Abdul Karim and Mohd Yusof, Mokhtar (2018) Integrating The Features Of Knowledge Management (KM) And Business Intelligence (BI) For Developing Organizational Performance Framework-A Diagnostics Dashboard. Advanced Science Letters, 24 (3). pp. 1795-1799. ISSN 1936-6612

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Abstract

This paper will explain specific features of Knowledge Management (KM) and Business Intelligence (BI) in viewing the big picture of their decision-making processes when implementing organizational performance diagnostics framework. In today’s digital era, KM and BI are two important model and techniques in enabling organizations toward deriving better intelligence knowledge-level creation and decision making. By structuring and using KM and BI together as a key performance of organizational operations for adapting and dealing with problematic-scenarios like data deluge. This paper focuses upon visualizing the organizational analytics ability for strategic performance decisions. Therefore, this conceptual framework relates the current KM and BI stages in strategy implementation for displaying an organizational performance indicator. The research goal is to provide a comprehensive understanding of emerging knowledge from structuring KM and BI stages and their mashup characteristics in designing the organizational performance framework. The outcome will be a design of a typical strategic performance application – the organizational diagnostics dashboard.

Item Type:	Article
Uncontrolled Keywords:	Knowledge Management, Business Intelligence, Information System, visual analytics, knowledge creation, mashup, diagnostics dashboard.
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	08 Aug 2019 04:20
Last Modified:	30 Aug 2021 17:31
URI:	http://eprints.utem.edu.my/id/eprint/23038
Statistic Details:	View Download Statistic

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