Emerging issues in interpretive organizational learning

Michael J. Hine, Jean B. Gasen, Kenneth Goul

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The interpretive perspective of organizational learning emphasizes the underlying purpose and meaning of an organization's environment. It involves the development of individual environmental interpretations and the development of a shared understanding of the environment. Understanding and supporting the interpretive organizational learning process is becoming increasingly important for the survival of today's organizations. The purpose of this paper is to synthesize information for researchers interested in interpretive organizational learning by (1) presenting a conceptual model of interpretive organizational learning and (2) providing definitions and examples of constructs that are fundamental to understanding the interpretation process. The paper then identifies key steps and components in measuring interpretive organizational learning. Database design requirements, including support for maintenance, querying, and temporal tracing of individual and group interpretations, are also presented.

Original languageEnglish (US)
Pages (from-to)49-62
Number of pages14
JournalData Base for Advances in Information Systems
Volume27
Issue number3
StatePublished - Jun 1996

Fingerprint

Organizational learning
Interpretive
Shared understanding
Learning process
Database design
Conceptual model

Keywords

  • Assumptions
  • Interpretation
  • Organizational learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Business, Management and Accounting(all)

Cite this

Emerging issues in interpretive organizational learning. / Hine, Michael J.; Gasen, Jean B.; Goul, Kenneth.

In: Data Base for Advances in Information Systems, Vol. 27, No. 3, 06.1996, p. 49-62.

Research output: Contribution to journalArticle

Hine, Michael J. ; Gasen, Jean B. ; Goul, Kenneth. / Emerging issues in interpretive organizational learning. In: Data Base for Advances in Information Systems. 1996 ; Vol. 27, No. 3. pp. 49-62.
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