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- 1. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print),
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING &
ISSN 0976 - 6375(Online), Volume 4, Issue 5, September - October (2013), © IAEME
TECHNOLOGY (IJCET)
ISSN 0976 – 6367(Print)
ISSN 0976 – 6375(Online)
Volume 4, Issue 5, September – October (2013), pp. 182-188
© IAEME: www.iaeme.com/ijcet.asp
Journal Impact Factor (2013): 6.1302 (Calculated by GISI)
www.jifactor.com
IJCET
©IAEME
KNOWLEDGE MANAGEMENT: VALUE, TECHNOLOGIES AND ITS
IMPLICATIONS
Shakti Kundu
School of Computer Applications,
IMS Unison University, Dehradun, Uttarakhand, India.
ABSTRACT
With the tremendous growth of web in the recent years, the concept of Knowledge
Management has evolved towards a vision more based on people participation and emergence [14].
This line of evolution is termed as Enterprise 2.0 [14]. However, there is an ongoing debate and
discussions as to whether Enterprise 2.0 is just a fad that does not bring anything new or useful or
whether it is, indeed, the future of knowledge management [15][16]. Knowledge management (KM)
comprises a range of strategies and practices used in an organization to identify, create, represent,
distribute, and enable adoption of insights and experiences. Such insights and experiences comprise
knowledge, either embodied in individuals or embedded in organizations as processes or practices
[2-3]. More recently, other fields have started contributing to KM research; these include information
and media, computer science, public health, and public policy [4]. The aim of this paper is to
highlight the value, technologies and implications of knowledge management.
Keywords: Implications, Knowledge, Management, Technologies, Value.
I.
INTRODUCTION
Knowledge Management is one of the hottest topics today in both the industry and
information research world. In our daily life, we deal with huge amount of data and information.
Data and information is not knowledge until we know how to dig the value out of it. This is the
reason we need knowledge management.
Knowledge Management (KM) refers to a multi-disciplined approach to achieving
organizational objectives by making the best use of knowledge. KM focuses on processes such as
acquiring, creating and sharing knowledge and the cultural and technical foundations that support
them.
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ISSN 0976 - 6375(Online), Volume 4, Issue 5, September - October (2013), © IAEME
Knowledge Management may be viewed in terms of:
o
o
o
People: How do you increase the ability of an individual in the organization to influence others
with their knowledge.
Processes: Its approach varies from organization to organization. There is no limit on the number
of processes.
Technology: It needs to be chosen only after all the requirements of a knowledge management
initiative have been established.
Or
o
o
o
Culture: The biggest enabler of successful knowledge driven organizations is the establishment
of a knowledge focused culture.
Structure: The business processes and organizational structures that facilitate knowledge sharing.
Technology: A crucial enabler rather than the solution.
Figure 1: View of Knowledge Management
In the subsequent sections, the remainder of the paper is organized as follows: Section II.
describes the value of knowledge management, Section III. discuss technologies that support
knowledge management, Section IV. refers to the implications of knowledge management and
Section V. concludes the paper.
II.
THE VALUE of KNOWLEDGE MANAGEMENT
Some benefits of KM correlate directly to bottom-line savings, while others are more difficult
to quantify. In today's information driven economy, companies uncover the most opportunities and
ultimately derive the most value from intellectual rather than physical assets. To get the most value
from a company's intellectual assets, KM practitioners maintain that knowledge must be shared and
serve as the foundation for collaboration. Yet better collaboration is not an end in itself; without an
overarching business context, KM is meaningless at best and harmful at worst. Consequently, an
effective KM program should help a company do one or more of the following:
183
- 3. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print),
ISSN 0976 - 6375(Online), Volume 4, Issue 5, September - October (2013), © IAEME
•
Foster innovation by encouraging the free flow of ideas.
•
Improve decision making.
•
Improve customer service by streamlining response time.
•
Boost revenues by getting products and services to market faster.
•
Enhance employee retention rates by recognizing the value of employees' knowledge and
rewarding them for it.
•
Streamline operations and reduce costs by eliminating redundant or unnecessary processes.
These are the most prevalent examples. A creative approach to KM can result in improved
efficiency, higher productivity and increased revenues in practically any business function.
III.
TECHNOLOGIES that support KNOWLEDGE MANAGEMENT
These technologies roughly correlate to four main stages of the KM life cycle:
1. Knowledge is acquired or captured using intranets, extranets, groupware, web conferencing, and
document management systems.
2. An organizational memory is formed by refining, organizing and storing knowledge using
structured repositories such as data warehouses.
3. Knowledge is distributed through education, training programs, automated knowledge based
systems, expert networks.
4. Knowledge is applied or leveraged for further learning and innovation via mining of the
organizational memory and the application of expert systems such as decision support systems.
All of these stages are enhanced by effective workflow and project management.
Figure 2: Knowledge Management Technologies
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ISSN 0976 - 6375(Online), Volume 4, Issue 5, September - October (2013), © IAEME
IV.
THE IMPLICATIONS of KNOWLEDGE MANAGEMENT
•
Database Users: From business class users to the general public, database users will enjoy a new
level of interaction with the KM system including just-in-time knowledge that delivers precise
relevant information on demand and in context. More complex, smart systems will translate to
optimal usability and less time spent searching for relevant information. For example, data
analysts will enjoy simplified access and more powerful tools for data exploitation. The use of
knowledge bases can reduce customer service costs by providing customers with easy access to
24/7 self service via smart systems that reduce the need to contact customer service or technical
support staff. Database users may even create customized views of knowledge bases that support
their needs.
•
Database Developers: The design and development of knowledge based systems will be
considerably more complex than current database development methods. Developers must
consider the overall technical architecture of the corporation to ensure seamless interoperability.
The use of standardized metadata and methods will also facilitate both intra-corporate and intercorporate interoperability. Making effective physical storage and platform choices will be equally
more complex. Both knowledge base developers and administrators must understand the role of
the knowledge base in the overall KM system.
•
Database Administrators: Database Administrators will evolve into Knowledge Managers. The
knowledge base will store and maintain corporate memory and Knowledge Managers will
become the gatekeepers of corporate knowledge. The lines between technical roles such as Web
Developer, Data Analyst or Systems Administrator will blur as these systems merge into and
overlap with KM systems. DBAs will need to have some knowledge about each of these
disciplines.
•
General Public: Even if they are not interacting directly with a knowledge base, the general
public will benefit from the secondary effects of improved customer service due to faster access
to more accurate information by service providers.
Figure 3: Knowledge Management Implications
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ISSN 0976 - 6375(Online), Volume 4, Issue 5, September - October (2013), © IAEME
V.
CONCLUSIONS
While highlighting the concept of knowledge management’s value, technologies and its
implications, it is clear that the goal of knowledge management is connecting people, processes and
technology for the purpose of leveraging corporate knowledge. The database professionals of today
are the Knowledge Managers of the future, and they will play an integral role in making these
connections possible.
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AUTHORS’ INFORMATION
SHAKTI KUNDU received his MCA from Kurukshetra University Kurukshetra, India in 2006,
MPhil in Computer Science from Chaudhary Devi Lal University, Sirsa, Haryana, India in 2008,
MTech in Computer Science & Engineering from Guru Jambheshwar University of Science &
Technology, Hisar, Haryana, India in 2010. The author current research interests are web mining,
knowledge management and web testing. He is life member of CSI, ISTE, IAENG and AIRCC.
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