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How Computer Usage affects Organizational Memory - Case Study of a Japanese Company Implementing Organizational Learning from Failure

Published:16 October 2023Publication History

ABSTRACT

Few organizations are good at organizational learning from failure, and failures are sometimes repeated. One reason could be the inadequate functioning of organizational memory. According to previous research, it is often assumed that information technology complements organizational memory. However, studies have also reported that information technology weakens memory, and hence, no certain conclusion has been drawn. This study aims to identify the impact of information technology on organizational memory in the context of organizational learning from failure. We focus on a Japanese company that has successfully implemented the use of information technology for organizational learning from failure. A quantitative analysis was conducted using a questionnaire survey, which revealed the following: 1) If the matter is of high interest in the organization, it is recorded and knowledge storage and sharing media that employ information technology is used; 2) Recording activity is strengthened using knowledge storage and sharing media that employ information technology; 3) Even if the matter is of high interest in the organization, it is not always possible to strengthen individual memory, but it is possible to enhance individual memory with knowledge storage/sharing media that utilize information technology; 4) Knowledge storage/sharing media that utilize information technology do not directly strengthen organizational memory; and 5) Knowledge storage and sharing media using information technology strengthen records and personal memory, which ultimately strengthens organizational memory.

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            • Published in

              cover image ACM Other conferences
              MISNC '23: Proceedings of the 10th Multidisciplinary International Social Networks Conference
              September 2023
              241 pages
              ISBN:9798400708176
              DOI:10.1145/3624875

              Copyright © 2023 ACM

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              Publication History

              • Published: 16 October 2023

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