Organizational Memory: Issues in Design

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Organizational MemoryIssues in Design
Implementation

• Sree Nilakanta
• May 1, 2000

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Organizational Memory

• Stored information from an organizations 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.

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Assumptions of OM

• Organizations functionally resemble Information
  Processing Systems
• Organizations are Interpretative Systems
• Organizations have distinct Ontological Systems

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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

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OM Research Suggestions

• Phase I
• Assess structure of OM
• Phase II
• Parse the Process
• Phase III
• Assess Consequences

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Organizational Memory
Knowledge Navigator Retriever
Recorder
Organizational Memory
Knowledge Percolator
Composer Builder
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Enterprise Information PortalA Vehicle for OM

• Business intelligence
• Content management
• Data warehouse
• Data management

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Enterprise Information Portal
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EIP Design Parameters
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EIP Applications
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Post Millenium Priorities
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Business Intelligence
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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.

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Content Management
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Content Management

• Content Management systems capture, archive,
  index, manage, combine and distribute internal
  and external information to create a corporate
  knowledge repository.

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Content ManagementCase Study
http//www.domaindlx.com/bindu/
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Data Warehouse/Data Mart

• Data Warehouses and Marts create an environment
  where data is stored, managed and optimized for
  analysis.

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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.

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Document Workflow Management
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Knowledge Management
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Knowledge Management
Source Communications of AIS Volume 1, 1999
Article 7 13 Knowledge Management Systems
Issues, Challenges, and Benefits by Alavi and
Leidner
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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

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Key Concerns Related to Knowledge Management
Source Communications of AIS Volume 1, 1999
Article 7 13 Knowledge Management Systems
Issues, Challenges, and Benefits by Alavi and
Leidner
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Market Opportunity
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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

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Meeting Maker
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Meeting Maker
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Meeting Maker
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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)

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Data Warehouse Tool
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Papers

• PROMIS A Profiler of Organizational Memory and
  Institutional Systems
• present an information retrieval model for
  searching and retrieving distributed information.
• IRMA 1998

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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

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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)

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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

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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.

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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)

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Quo Vadis?

• OM/KM Center for Research Support
• IT Leadership
• Technology Transfer