organizational memory: issues in design & implementation
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Organizational Memory: Issues in Design & Implementation. Sree Nilakanta May 1, 2000. Organizational Memory. - PowerPoint PPT PresentationTRANSCRIPT
Organizational Memory:Issues in Design & Implementation
Sree Nilakanta
May 1, 2000
Organizational Memory
• Stored information from an organization’s history that can be brought to bear on present decisions. The information is stored as a consequence of implementing decisions to which they refer, by individual recollections, and through shared interpretations.
– Walsh and Ungson (1991), AMR, vol. 16.
Assumptions of OM
• Organizations functionally resemble Information Processing Systems
• Organizations are Interpretative Systems
• Organizations have distinct Ontological Systems
Imperatives for OM
• Retention Structure (Locus of OM)– Individuals, Culture, Transformations,
Structures, Ecology
• Processing Architecture– Acquisition, Retention, Retrieval
• Impact on Organizational Outcomes & Performance– Use, Misuse, Abuse
OM Research Suggestions
• Phase I– Assess structure of OM
• Phase II– Parse the Process
• Phase III– Assess Consequences
Organizational Memory
Organizational Memory
Recorder
Knowledge Percolator
Composer & Builder
Knowledge Navigator &
Retriever
Enterprise Information PortalA Vehicle for OM
• Business intelligence
• Content management
• Data warehouse
• Data management
Enterprise Information Portal
EIP Design Parameters
EIP Applications
Post Millenium Priorities
Business Intelligence
Business Intelligence
• Business Intelligence Applications leverage enterprise database sources to provide timely, accurate and targeted information across the enterprise.
• Query, Reporting, On-Line Analytical Processing (OLAP), Data Mining and Analytical Applications.
Content Management
Content Management
• Content Management systems capture, archive, index, manage, combine and distribute internal and external information to create a corporate knowledge repository.
Content ManagementCase Study
http//www.domaindlx.com/bindu/
Data Warehouse/Data Mart
• Data Warehouses and Marts create an environment where data is stored, managed and optimized for analysis.
Data Management
• Data Management systems perform Extract, Transform and Load (ETL) tasks, clean data and facilitate scheduling, administration and metadata management for Data Warehouses and Marts.
Document Workflow Management
Knowledge Management
Knowledge Management
Source: Communications of AIS Volume 1, 1999 Article 7 13Knowledge Management Systems: Issues, Challenges, and Benefits by Alavi and Leidner
Knowledge Management
• Characterized as the problem of identifying the personal and collective knowledge existing in an organization and making it available to the relevant people.
– Success depends on understanding unstructured information
– Innovation depends on searching knowledge domain
Key Concerns Related to Knowledge Management
Source: Communications of AIS Volume 1, 1999 Article 7 13Knowledge Management Systems: Issues, Challenges, and Benefits by Alavi and Leidner
Market Opportunity
Papers
• Tools for Organizational Decision Support: The Design and Development of an Organizational Memory System– Introduced a model for capturing and parsing
organizational memory– HICSS 1997
Meeting Maker
Meeting Maker
Meeting Maker
Papers
• Design & Implementation of Data Warehouses Using Metadata– the paper presents a CASE tool designed to
generate the SQL queries necessary to build a warehouse from a set of operational relational databases
– HICSS 1998, J of IST (review)
Data Warehouse Tool
Papers
• PROMIS: A Profiler of Organizational Memory and Institutional Systems– present an information retrieval model for
searching and retrieving distributed information.
– IRMA 1998
Papers
• Data Warehouse Generation: The Role of Mobile Agents in Capturing Data from Disparate and Multiple Sources.– The topic of integrating data from multiple
heterogeneous sources has been studied in this paper. A system based on the Voyager 2.0 mobile agent infrastructure is implemented in JAVA
– IRMA 1999
Papers
• Supporting Objects in the Data Warehouse Environment– we introduce a model for an object-oriented
data warehouse. The warehouse model is based on materializing object views and the current prototype has been implemented on top of the POET object-oriented database system.
– IEEE 1998, JDB (revision)
Papers
• Supporting Organizational Knowledge Management with Agents– The present work is focused on making the vast
amount of unstructured text more useful to committees. An agent environment has been designed and implemented.
– IRMA 2000
Papers
• A Collaborative Work Group-Based Model for Supporting Organizational Knowledge Management– The present work looks at making corporate
knowledge more useful to organizations by focusing on supporting collaborative work groups. We focus on presenting our knowledge model and briefly look at the prototypes used to test the feasibility of our model.
Software and Patent Disclosures
• Meeting Capture (1997)
• Meeting Playback (1997)
• Information Extractor, PROMIS (1997)
• Warehouse Query Translator (1999)
• Meeting Analyzer (1999)
• Knowledge Management & Discovery Model of OM (1999)
Quo Vadis?
• OM/KM Center for Research & Support• IT Leadership• Technology Transfer