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

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 techni...

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Main Authors: Jayakrishnan, Mailasan, Mohamad, Abdul Karim, Mohd Yusof, Mokhtar
Format: Article
Language:English
Published: American Scientific Publishers 2018
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/23038/2/ICCNA2017%20%28Paper%202%29.pdf
http://eprints.utem.edu.my/id/eprint/23038/
https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000003/art00057
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spelling my.utem.eprints.230382021-08-30T17:31:05Z http://eprints.utem.edu.my/id/eprint/23038/ Integrating The Features Of Knowledge Management (KM) And Business Intelligence (BI) For Developing Organizational Performance Framework-A Diagnostics Dashboard Jayakrishnan, Mailasan Mohamad, Abdul Karim Mohd Yusof, Mokhtar H Social Sciences (General) HD28 Management. Industrial Management 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. American Scientific Publishers 2018 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/23038/2/ICCNA2017%20%28Paper%202%29.pdf 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 https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000003/art00057 10.1166/asl.2018.11163
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic H Social Sciences (General)
HD28 Management. Industrial Management
spellingShingle H Social Sciences (General)
HD28 Management. Industrial Management
Jayakrishnan, Mailasan
Mohamad, Abdul Karim
Mohd Yusof, Mokhtar
Integrating The Features Of Knowledge Management (KM) And Business Intelligence (BI) For Developing Organizational Performance Framework-A Diagnostics Dashboard
description 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.
format Article
author Jayakrishnan, Mailasan
Mohamad, Abdul Karim
Mohd Yusof, Mokhtar
author_facet Jayakrishnan, Mailasan
Mohamad, Abdul Karim
Mohd Yusof, Mokhtar
author_sort Jayakrishnan, Mailasan
title Integrating The Features Of Knowledge Management (KM) And Business Intelligence (BI) For Developing Organizational Performance Framework-A Diagnostics Dashboard
title_short Integrating The Features Of Knowledge Management (KM) And Business Intelligence (BI) For Developing Organizational Performance Framework-A Diagnostics Dashboard
title_full Integrating The Features Of Knowledge Management (KM) And Business Intelligence (BI) For Developing Organizational Performance Framework-A Diagnostics Dashboard
title_fullStr Integrating The Features Of Knowledge Management (KM) And Business Intelligence (BI) For Developing Organizational Performance Framework-A Diagnostics Dashboard
title_full_unstemmed Integrating The Features Of Knowledge Management (KM) And Business Intelligence (BI) For Developing Organizational Performance Framework-A Diagnostics Dashboard
title_sort integrating the features of knowledge management (km) and business intelligence (bi) for developing organizational performance framework-a diagnostics dashboard
publisher American Scientific Publishers
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/23038/2/ICCNA2017%20%28Paper%202%29.pdf
http://eprints.utem.edu.my/id/eprint/23038/
https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000003/art00057
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score 13.19449