READIT-2007 - Indira Gandhi Centre for Atomic Research

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The infrastructure based approach integrates all OM in to a single system and hence provides higher benefits, since it is spread across the entire organization rather than a few process. The process based approach is more suitable for small organizations with well defined OM goals. The infrastructure approach is preferred for large organizations, where the OM needs are not known, but the organization knows that OM is necessary. Studies of different OM implementations (Ackerman, 1994) reveals that, the success rate of process based OM is high compared to infrastructure based organization wide OM. Hence, it is suggested that even in infrastructure based organization wide OM, it is preferable to break OM into manageable pieces, that correspond to specific process, task, project or department and integration of these smaller pieces to form the overall OM. This hybrid approach of having an overall plan of infrastructure based OM, identifying the components as process based OM and finally integrating to form the complete organization wide OM has the dual benefits of infrastructure based approach and process based approach. Design of OMS The basic components of OMS are capturing, storing, searching, retrieving, using and assessing OM. The issues affecting the design of OMS are perspective of OM from different organizational groups, information overload, quality control and security of OM, capturing mechanism , storing, retrieval, usage and integration of memory components. OM repositories need to be designed to accommodate different types of data like meta data, structured data, semi structured data and unstructured data. Organization and representation of memory and the user interfaces are the keys to success of OMS. Effective memory maps need to be designed based on the user requirements. Capture of certain memory can be done automatically from transaction processing system. However it is also required to capture manually by designated personnel. Thecontent in OM ages with time and need to be purged when it is no longer required. Methods for identifying and purging outdated memory, like validity period and automatic/ administrator controlled purging after the validity period etc. need to be evolved. Design of OMS should also consider the technology infrastructure like network, servers, storage, back up devices etc. A typical OMS applicable for a large Research and Development Organization is depicted in figure 2. Projects HR Finance Procurement & Materials Management Scientific Data Warehouse Quality Control & Security Mapping Digital Library Performance Department Department Department n Purging Users & Figure-2 Organizational Memory System 196
The organization has various transaction processing systems like Human Resource Management System, Finance, Projects, Procurement and Materials Management etc. The relevant data and information from these systems can be captured in to the OM through proper quality control and filtering mechanism. Similarly the relevant data from Scientific Data Warehouse and Digital Library can be brought into the OM. Also information and knowledge available in various Departments need to be consciously captured into the OM. The performance of OM can be monitored through user feed back and performance measurement methods. The mechanism of purging like validity period, ‘no usage’ etc. can be used. Effectiveness Organizational Memory Systems When an Organization has implemented OMS, the effectiveness need to be measured and the design of OMS should include appropriate methods to measure it. However, it is also necessary to predict the effectiveness by appropriate methods even before the implementation. Organizational effectiveness can be described using the competing values model (Stein and Zwass, 1995, Quinn and Rhorbaugh, 1983). This model assumes that organizational effectiveness is related to OMS. It uses four organizational effectiveness criteria: integration, adaptation, goal attainment and pattern maintenance. The integration function is the technology capability for providing access to the OM which may be distributed across the entire organization in space and time. The adaptive function is the ability of the organization to adapt to the changes in the organization. The goal attainment function is the ability of the organization to set goals and evaluate the degree of their fulfillment. The pattern maintenance function is the ability of the organization to maintain the cohesion and the morale of the human resource. The competing values model, though predicts the effectiveness of OMS, through the organizational effectiveness variables, it does not predict the usage of OMS. The generalized assessment of OMS success can be predicted by adapting the Information System Success Model which (Jennex Adolfman, 2002, Delone and McLean’s 1992) depicted in Figure 2. System Quality Use Individual Impact Organizational Impact Information Quality User Satisfaction Figure 3. IS Success Model 197
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Conference on Recent Advances in In
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CONTENTS INVITED TALKS “Bodhi”
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Dr. Sanjay K Kaushik and Vijendra S
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Tacit Knowledge Contextual Mental P
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documents can become knowledge repo
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objects to form a conceptual networ
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Global highly competitive fast ch
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knowledge would always be packaged
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If our human filters are all too mu
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6. Booch, G. (1993). Object-Oriente
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development (Balyan, R.K. 2007). Th
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4. NEW FOUND ROLES / RESPONSIBILITI
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human resource development in the k
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Those librarians who have the neede
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of information using formal and inf
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high quality information and by net
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and underpin information management
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everywhere on the Internet, existin
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11. RESOURCES SHARING AND NETWORKIN
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influence the organization’s know
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KNOWLEDGE MANAGEMENT IN DIGITAL INF
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Thirdly Knowledge Management promot
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6. KNOWLEDGE MANAGEMENT: COMMON AND
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7. KNOWLEDGE MANAGEMENT SOLUTION IN
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Knowledge and Information Managemen
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to a broad collection of organizati
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Information technology is a tool fo
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In the library world, there is a le
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more science in public domain. Seve
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Web-of Science which covers Science
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Creation of digital contents and in
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University Libraries - Metamorphosi
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• Management skills - motivating,
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KM will play an essential role, and
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4. INDUSTRIAL SAFETY AND HEALTH INF
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Safety Knowledge Management System
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Multimedia Data Mining in Digital L
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The Multimedia Data Mining (MDM) is
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performed at the global or local le
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REFERENCES 1. Sinha, Manojkumar and
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- Information explosion - Prolifera
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also go together for adding visual
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6.2 Format This refers to the abili
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Using Knowledge mapping to support
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- Be aware of organizational level
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application of knowledge providing
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By implementing these strategies, t
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detectors are suitable for detectin
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iii) Response Indicator II. Confirm
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5. CONCLUSION Present day libraries
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The objective of the archives is: 1
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custody and two copies are made for
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DIGITAL PRESERVATION ISSUES AND FAL
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epresentation, provenance, fixity a
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) Technical c) Resource challenges.
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There are many cost factors to cons
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This knowledge would vanish from th
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The key issues were: - Development
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as there would be changes in compet
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Digital Preservation and Online Acc
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Physical deterioration of digital m
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7. POLICIES FOR DIGITIZATION 1. Meg
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Library 2.0: Myth or Reality ? E.So
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Web 1.0 Web 2.0 DoubleClick --> Goo
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and chooses tagging, tag clouds, fo
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and access can be given through com
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writes, injures, defaces, cuts, mut
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to have access to restricted areas.
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Internet Usage by Research Scholars
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Kumar and Amritpal Kaur (2004) 5 st
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whereas fifteen respondents use it
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Fully satisfied Table 12 Satisfacti
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Information Security: The role of D
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Identifier Owner suffix 10-1003 / 0
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is costly affair. However, it is a
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(IR) and providing their own digita
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As per the data of Home Ministry of
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4.8 Cyber Defamation: Cyber defamat
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4.18 Web jacking Forceful taking of
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Under the circumstances, the Librar
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10. CONCLUSION Cyber crimes in Indi
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2. STATE AGRICULTURAL UNIVERSITIES
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Table- 2: Library Network facilitie
Page 176 and 177: Table- 4: OPAC / Web OPAC Facilitie
Page 178 and 179: 6.6 Electronic surveillance Librari
Page 182 and 183: Knowledge Management in Academic In
Page 184 and 185: summarizes evolution of Knowledge M
Page 186 and 187: To prove their relevance and value,
Page 188 and 189: functions of the organization. Patr
Page 190 and 191: Knowledge Communication in Academic
Page 192 and 193: y way of conferring it the status o
Page 194 and 195: through face-to-face conversation.
Page 196 and 197: hurdles. Instant message are delive
Page 198 and 199: Knowledge communication network of
Page 200 and 201: As KM and learning activities for o
Page 202 and 203: • Operation personnel are require
Page 204 and 205: Figure-2: Home page for Centralised
Page 206 and 207: Glossary Development Figure-4: Home
Page 208 and 209: Extension of Qualification Systems
Page 210 and 211: Nuclear Knowledge Management (NKM)
Page 212 and 213: Knowledge Sharing Environment (1) B
Page 214 and 215: already possess it. As those worker
Page 216 and 217: - identify critical “at risk” k
Page 218 and 219: open literature, content and TOC cr
Page 220 and 221: FROM MANAGEMENT OF ORGANIZATIONAL K
Page 222 and 223: Organizational Knowledge Organizati
Page 224 and 225: Central Repository Data + Informati
Page 228 and 229: The ‘System Quality’ refers to
Page 230 and 231: KNOWLEDGE: A MARKETABLE COMMODITY A
Page 232 and 233: APPLYING E-COMMERCE TO E-LEARNING E
Page 234 and 235: Role of Libraries in the Knowledge
Page 236 and 237: their scholars to post their articl
Page 238 and 239: Author Index Amudhavalli, A., 143 A
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