Organizational memory and institution theory: A postcolonial perspective

2021 ◽  
Author(s):  
Mohua Lahiri ◽  
Asha Bhandarker ◽  
Alfredo Behrens
Keyword(s):  
Organizational Memory ◽  
Institution Theory

scholarly journals The mediation role of the organizational memory in the relationship between knowledge capturing and learning organization

2021 ◽  
Vol 8 (1) ◽  
pp. 1924933
Author(s):  
Al-Hashem Adel Odeh ◽  
Almasri Ammar ◽  
Abu Orabi Tareq
Keyword(s):  
Learning Organization ◽  
Organizational Memory ◽  
The Relationship

scholarly journals Organizational Improvisation and Organizational Memory

1998 ◽  
Vol 23 (4) ◽  
pp. 698 ◽  
Author(s):  
Christine Moorman ◽  
Anne S. Miner
Keyword(s):  
Organizational Memory ◽  
Organizational Improvisation

An Organizational Memory Approach to Information Management

1998 ◽  
Vol 23 (4) ◽  
pp. 796-809 ◽  
Author(s):  
Vikas Anand ◽  
Charles C. Manz ◽  
William H. Glick
Keyword(s):  
Information Management ◽  
Organizational Memory

Measuring Knowledge Management/Knowledge Sharing (KM/KS) Efficiency and Effectiveness in Enterprise Networks

2011 ◽  
Vol 7 (4) ◽  
pp. 37-54 ◽  
Author(s):  
Anirban Ganguly ◽  
Ali Mostashari ◽  
Mo Mansouri
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Organizational Memory ◽  
Process Efficiency ◽  
Illustrative Case ◽  
Enterprise Networks ◽  
Enterprise Network ◽  
Area Of Interest ◽  
Efficiency And Effectiveness ◽  
Generalized Metrics

Knowledge Management (KM) is critical in ensuring process efficiency, outcome effectiveness and improved organizational memory for the modern day business enterprises. Knowledge Sharing (KS) is fast becoming a rapidly growing area of interest in the domain of knowledge management. The purpose of this paper is to enlist a set of generalized metrics that can be used to evaluate the efficiency and the effectiveness of knowledge sharing in an enterprise network. The metrics proposed in this research are those that can be readily measured by various types of enterprise knowledge sharing systems, and link usage information to organizational outputs. The paper uses an illustrative case example of how an enterprise might make use of the metrics in measuring the efficiency and effectiveness of its knowledge sharing system.

scholarly journals Knowledge transfer across projects: Codification in creative, high-tech and engineering industries

2011 ◽  
Vol 43 (3) ◽  
pp. 309-331 ◽  
Author(s):  
Eugenia Cacciatori ◽  
David Tamoschus ◽  
Gernot Grabher
Keyword(s):  
Knowledge Transfer ◽  
Division Of Labour ◽  
Qualitative Studies ◽  
Organizational Memory ◽  
High Tech ◽  
Administrative Control ◽  
Knowledge Codification ◽  
Level Of Use ◽  
Engineering Industries

The use of codification to support knowledge transfer across projects has been explored in several recent, and mostly qualitative, studies. Building on that research, this article puts forward hypotheses about the antecedents of knowledge codification, and tests them on a sample of 540 inter-organizational projects carried out in the creative, high-tech and engineering industries. We find that the presence of strong industry norms governing the division of labour discourages knowledge transfer through codification, as suggested by the existing qualitative studies. The presence of a system integrator plays an important role in driving the use of codification for knowledge transfer, to some extent embodying an organizational memory in volatile project environments. Finally, the level of use of administrative control in the project is a robust predictor of attempts to transfer knowledge via codification. When these antecedents are taken into account, the novelty of products and services plays a smaller role than previously found in determining the use of codification.

scholarly journals AI for augmenting human judgement in Business Processes Management

2021 ◽  
Vol 201 (3) ◽  
pp. 507-518
Author(s):  
Łukasz Osuszek ◽  
Stanisław Stanek
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Support ◽  
Business Processes ◽  
Workflow Management ◽  
Organizational Memory ◽  
Machine Learning Algorithms ◽  
Analytical Models ◽  
Case Based Reasoning ◽  
Historical Case

The paper outlines the recent trends in the evolution of Business Process Management (BPM) – especially the application of AI for decision support. AI has great potential to augment human judgement. Indeed, Machine Learning might be considered as a supplementary and complimentary solution to enhance and support human productivity throughout all aspects of personal and professional life. The idea of merging technologies for organizational learning and workflow management was first put forward by Wargitsch. Herein, completed business cases stored in an organizational memory are used to configure new workflows, while the selection of an appropriate historical case is supported by a case-based reasoning component. This informational environment has been recognized in the world as being effective and has become quite common because of the significant increase in the use of artificial intelligence tools. This article discusses also how automated planning techniques (one of the oldest areas in AI) can be used to enable a new level of automation and processing support. The authors of the article decided to analyse this topic and discuss the scientific state of the art and the application of AI in BPM systems for decision-making support. It should be noted that readily available software exists for the needs of the development of such systems in the field of artificial intelligence. The paper also includes a unique case study with production system of Decision Support, using controlled machine learning algorithms to predictive analytical models.

Sign in / Sign up

Export Citation Format

Share Document