50120130405021 by iaemedu


									 International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print),
 ISSN 0976 - 6375(Online), Volume 4, Issue 5, September - October (2013), © IAEME
                                 TECHNOLOGY (IJCET)

ISSN 0976 – 6367(Print)
ISSN 0976 – 6375(Online)                                                        IJCET
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)                    ©IAEME


                                            Shakti Kundu
                                 School of Computer Applications,
                        IMS Unison University, Dehradun, Uttarakhand, India.


         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.


        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

International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print),
ISSN 0976 - 6375(Online), Volume 4, Issue 5, September - October (2013), © IAEME

Knowledge Management may be viewed in terms of:

o     People: How do you increase the ability of an individual in the organization to influence others
      with their knowledge.
o     Processes: Its approach varies from organization to organization. There is no limit on the number
      of processes.
o     Technology: It needs to be chosen only after all the requirements of a knowledge management
      initiative have been established.
o     Culture: The biggest enabler of successful knowledge driven organizations is the establishment
      of a knowledge focused culture.
o     Structure: The business processes and organizational structures that facilitate knowledge sharing.
o     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.


        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:
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.


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

International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print),
ISSN 0976 - 6375(Online), Volume 4, Issue 5, September - October (2013), © IAEME


•     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 inter-
      corporate 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

•     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

International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print),
ISSN 0976 - 6375(Online), Volume 4, Issue 5, September - October (2013), © IAEME


       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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ISSN 0976 - 6375(Online), Volume 4, Issue 5, September - October (2013), © IAEME

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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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