Designing Organizational Memory for Knowledge Management Support in Collaborative Learning

2011 ◽  
pp. 233-243 ◽  
Author(s):  
Kam Hou Vat
Keyword(s):  
Knowledge Management ◽  
Academic Staff ◽  
Knowledge Work ◽  
Organizational Memory ◽  
Management Support ◽  
University Environment ◽  
Knowledge Domains ◽  
Knowledge Processes ◽  
Meta Modeling ◽  
Training And Research

This chapter investigates the design of organizational memory (OM) which is targeted for knowledge management (KM) support tailored for collaboration among academic staff and students in a university environment. Specifically, we describe our KM initiatives to support organizational learning in terms of the knowledge processes evolving over selected knowledge domains for training and research purpose. The chapter also depicts our ideas on knowledge items regarding their meta-modeling, indexing, and ontological aspects. The overall design of our OM is then discussed in terms of its context for knowledge work. The paper concludes by re-iterating the challenges in knowledge sharing and depositing into the OM for its continuous growth and utilization.

scholarly journals Knowledge Management Support for Enterprise Distributed Systems

2011 ◽  
pp. 294-309 ◽  
Author(s):  
Yun-Heh Chen-Burger ◽  
Yannis Kalfoglou
Keyword(s):  
Knowledge Management ◽  
Semantic Processing ◽  
Web Applications ◽  
Organizational Memory ◽  
Knowledge Generation ◽  
Software Systems ◽  
Management Support ◽  
Starting Point ◽  
Good Starting Point ◽  
Management Functions

Explosion of information and increasing demands on semantic processing Web applications have pushed software systems to their limits. To address this problem, we propose a semantic-based formal framework (ADP) that makes use of promising technologies to enable knowledge generation and retrieval. We argue that this approach is costeffective, as it reuses and builds on existing knowledge and structure. It is also a good starting point for creating an Organizational Memory and providing Knowledge Management functions.

Internet Support for Knowledge Management Systems

2011 ◽  
pp. 564-570 ◽  
Author(s):  
Murray E. Jennex
Keyword(s):  
Knowledge Management ◽  
Memory Systems ◽  
Organizational Memory ◽  
Management Systems ◽  
The Internet ◽  
Knowledge Management Systems ◽  
Knowledge Processes ◽  
Information Awareness ◽  
Internet Information ◽  
Control Knowledge

Organizations are building and maintaining systems for managing organizational knowledge and memory. Users of these systems may not be at the same location; in many cases they are distributed across large geographical distances and multiple offices. Key to this task is developing an infrastructure that facilitates distributed access and utilization of the retained knowledge and memory. Connectivity and easy to use interfaces are main concerns. Jennex (2000) found that using the Internet as a common communications platform (either as an Intranet or an Extranet) and Web browsers as an interface is a viable, low cost solution. Newell, et al. (1999) found that Intranets not only supported distributed knowledge processes but also enhanced users’ abilities to capture and control knowledge. Stenmark (2002) proposes that using a multiple perspective of the Internet— information, awareness, and communication—allows developers to build successful Internet-based knowledge management systems, KMS. This article discusses how the Internet can be effectively used as an infrastructure for knowledge management/organizational memory systems, KMS/OMS.

Internet Support for Knowledge Management Systems

2005 ◽  
pp. 1640-1644 ◽  
Author(s):  
Murray E. Jennex
Keyword(s):  
Knowledge Management ◽  
Memory Systems ◽  
Organizational Memory ◽  
Management Systems ◽  
The Internet ◽  
Knowledge Management Systems ◽  
Knowledge Processes ◽  
Information Awareness ◽  
Internet Information ◽  
Control Knowledge

Organizations are building and maintaining systems for managing organizational knowledge and memory. Users of these systems may not be at the same location; in many cases they are distributed across large geographical distances and multiple offices. Key to this task is developing an infrastructure that facilitates distributed access and utilization of the retained knowledge and memory. Connectivity and easy to use interfaces are main concerns. Jennex (2000) found that using the Internet as a common communications platform (either as an Intranet or an Extranet) and Web browsers as an interface is a viable, low cost solution. Newell, et al. (1999) found that Intranets not only supported distributed knowledge processes but also enhanced users’ abilities to capture and control knowledge. Stenmark (2002) proposes that using a multiple perspective of the Internet— information, awareness, and communication—allows developers to build successful Internet-based knowledge management systems, KMS. This article discusses how the Internet can be effectively used as an infrastructure for knowledge management/organizational memory systems, KMS/OMS.

scholarly journals Motivation for Knowledge Work

2011 ◽  
pp. 657-664 ◽  
Author(s):  
Paul H.J. Hendriks ◽  
Ce´lio A.A. Sousa
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Work Motivation ◽  
Knowledge Workers ◽  
Knowledge Work ◽  
Exact Form ◽  
Work Processes ◽  
Knowledge Processes ◽  
Individual Knowledge

The importance of motivation in knowledge work is generally acknowledged. With lacking motivation, the quality of the products of knowledge work is bound to drop dramatically. Without work motivation, individual knowledge workers may direct their efforts to their individual needs at the expense of organization goals or decide to leave the firm. Creativity, knowledge teamwork, knowledge sharing, and other knowledge processes depend on the motivation of knowledge workers. Lacking sustained motivation in association with an insufficiently knowledge-friendly culture has often been mentioned as the principal culprit for failed knowledge management (KM) initiatives and programs (Davenport, DeLong, & Beers, 1998; McKenzie, Truc, & Winkelen, 2001). Several traits of knowledge workers explain, so it is argued, why prevailing work motivation programs will not work when applied to knowledge workers: they have high needs for autonomy, their career formation is external to the organization, they are loyal to their networks of peers and to their profession rather than to the organization that employs them, and the exact form and sequence of their work processes cannot be fully predicted (Despres & Hiltrop, 1996).

Semantic Desktop for the End-UserSemantic Desktop für Anwender

i-com ◽  
2009 ◽  
Vol 8 (3) ◽  
pp. 25-32 ◽  
Author(s):  
Gunnar Aastrand Grimnes ◽  
Benjamin Adrian ◽  
Sven Schwarz ◽  
Heiko Maus ◽  
Kinga Schumacher ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Knowledge Work ◽  
Personal Knowledge ◽  
Term Study ◽  
The Core ◽  
Personal Knowledge Management ◽  
Long Term Study ◽  
Core Components

AbstractThis article describes the Semantic Desktop. We give insights into the core services that aim to improve personal knowledge management on the desktop. We describe these core components of our Semantic Desktop system and give evaluation results. Results of a long-term study reveal effects of using the Semantic Desktop on personal knowledge work.

scholarly journals A Data Science Analysis of Academic Staff Workload Profiles in Spanish Universities: Gender Gap Laid Bare

2021 ◽  
Vol 11 (7) ◽  
pp. 317
Author(s):  
Ismael Cabero ◽  
Irene Epifanio
Keyword(s):  
Gender Gap ◽  
Data Science ◽  
Academic Staff ◽  
Machine Learning Techniques ◽  
Academic Disciplines ◽  
University Environment ◽  
Learning Techniques ◽  
Spanish Universities ◽  
New Perspective

This paper presents a snapshot of the distribution of time that Spanish academic staff spend on different tasks. We carry out a statistical exploratory study by analyzing the responses provided in a survey of 703 Spanish academic staff in order to draw a clear picture of the current situation. This analysis considers many factors, including primarily gender, academic ranks, age, and academic disciplines. The tasks considered are divided into smaller activities, which allows us to discover hidden patterns. Tasks are not only restricted to the academic world, but also relate to domestic chores. We address this problem from a totally new perspective by using machine learning techniques, such as cluster analysis. In order to make important decisions, policymakers must know how academic staff spend their time, especially now that legal modifications are planned for the Spanish university environment. In terms of the time spent on quality of teaching and caring tasks, we expose huge gender gaps. Non-recognized overtime is very frequent.

Knowledge management

2014 ◽  
Vol 14 (1) ◽  
pp. 108-134 ◽  
Author(s):  
Morteza Shokri-Ghasabeh ◽  
Nicholas Chileshe
Keyword(s):  
Knowledge Management ◽  
Success Factors ◽  
Research Study ◽  
South Australia ◽  
Lessons Learned ◽  
Extensive Literature ◽  
Management Support ◽  
Content Type ◽  
Critical Success ◽  
Methodological Triangulation

Purpose – A research study has been undertaken at the University of South Australia to introduce application of lessons learned process in construction contractors ' bidding process in the context of knowledge management. The study aims to identify barriers to effectively capture lessons learned in Australian construction industry and how knowledge management can benefit from lessons learned application. Design/methodology/approach – The research study has been undertaken through conducting a “methodological triangulation” and “interdisciplinary triangulation”. This involved an extensive literature review of knowledge management, organisation learning, lessons learned and associated processes and administration of a questionnaire to a sample of construction contractors operating in Australia to elicit opinions on the main barriers to capturing lessons learned, practices such as existence and retention of documentation procedures. A total of 81 useable responses were received from 450 organisations. Response data were subjected to descriptive and inferential statistics with correlation analysis to examine the strength of relationship among the barriers. Findings – The top-3 barriers to the effective capturing of lessons learned were “lack of employee time”, “lack of resources” and “lack of clear guidelines”, whereas, “lack of management support” was the least ranked barrier. The study established that despite the majority of the ACCs having formal procedures for recording the tenders submitted and their outcomes, only a minority actually retained the lessons learned documentation for each project. The larger contractors were found to be more aware of the importance of lessons learned documentation. A comparative analysis with previous studies also found a disparity in the ranking of the barriers. Research limitations/implications – The majority of the participants were small construction contractors in Australia. The reason is that the researchers were not aware of the contractors ' size prior to inviting them for participation in the research study. Second the findings may not generalize to other industries or to organisations operating in other countries. Originality/value – The findings of this survey help ACCs to understand the importance of lessons learned documentation as part of lessons learned implementation and identify the barriers to effectively document their lessons learned. The study provides insights on the barriers and proposes advocated solutions in form of drivers and enablers (critical success factors) of organisational learning capturing among the Australian construction contractors. By reviewing the current literature, “post-project reviews” and “lessons learned” as important elements of organisation learning knowledge transfer, are addressed. Finally, contribution of this study to knowledge and practice has been discussed in this paper.

scholarly journals Organizational Factors as Predictors of Knowledge Management Practices in Federal University Libraries in Nigeria

2018 ◽  
Vol 13 (2) ◽  
pp. 48-69 ◽  
Author(s):  
Cyprian Ifeanyi Ugwu
Keyword(s):  
Knowledge Management ◽  
Management Practices ◽  
Correlation Coefficients ◽  
Organizational Factors ◽  
Management Tool ◽  
Management Support ◽  
University Libraries ◽  
Internal Reliability ◽  
Knowledge Management Practices ◽  
Positive Correlations

Abstract Objective – University libraries in Nigeria are facing challenges arising from poor funding, increasing user demands, and a competitive information environment. Knowledge management has been accepted by information professionals as a viable management tool, but issues surrounding its application require empirical investigation. The aim of this study is to determine the organizational factors that are correlates and predictors of knowledge management practices in federal university libraries in Nigeria. Methods – The study was based on a correlational research design. Twenty heads of university libraries in Nigeria responded to a structured questionnaire developed by the researcher. The questionnaire was validated by experts and its internal reliability was 0.78 obtained through Cronbach’s alpha procedures. The data collected were analyzed using Mean, Standard Deviation, One-Way ANOVA, Pearson’s Product Moment Correlation Coefficient, and regression analysis. Results – The study found that management support and collaboration were the most significant predictors of knowledge management practices in federal university libraries in Nigeria.  Even though human resources policy and rewards systems had positive correlations with knowledge management practices, their correlation coefficients were not significant. Conclusion – The success of knowledge management in university libraries in Nigeria depends on some contextual factors such as the support given by the management staff and the extent of collaboration among staff.

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.

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