Distributed ‘Knowing in Practice' Enabled by Knowledge Management Systems

2017 ◽  
Vol 13 (4) ◽  
pp. 56-72
Author(s):  
Lakshmi Goel
Keyword(s):  
Knowledge Management ◽  
Qualitative Case Study ◽  
Knowledge Management System ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Distributed Work ◽  
Technological Factors ◽  
Geographically Dispersed ◽  
Set Up

Many companies set up operations offshore and complete projects by ‘worksharing' where responsibilities are split between geographically dispersed offices. This article looks at how knowledge management systems facilitate practices essential for collaborative, distributed work. A qualitative case study is conducted at a large multinational engineering, procurement and construction (EPC) company that has successfully implemented a knowledge management system. The study uses the framework of ‘knowing in practice' to the context of worksharing. This article contributes to the practice by providing specific suggestions that can be implemented from a social technical perspective to facilitate worksharing. Specifically, suggesting technological factors, and efforts needed by users and managers, in facilitating worksharing. This article contributes to research by applying the lens of ‘knowing in practice' to the context of worksharing.

Distributed “Knowing in Practice” in Workshare Contexts

2020 ◽  
pp. 222-246
Author(s):  
Lakshmi Goel
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Qualitative Case Study ◽  
Knowledge Management System ◽  
Knowledge Management Systems ◽  
Distributed Work ◽  
Technological Factors ◽  
Geographically Dispersed ◽  
Set Up

Many companies set up operations offshore and complete projects by 'worksharing' where responsibilities are split between geographically dispersed offices. This chapter looks at how knowledge management systems facilitate practices essential for collaborative, distributed work. A qualitative case study is conducted at a large multinational engineering, procurement, and construction (EPC) company that has successfully implemented a knowledge management system. The study uses the framework of 'knowing in practice' to the context of worksharing. This chapter contributes to the practice by providing specific suggestions that can be implemented from a social technical perspective to facilitate worksharing, specifically, suggesting technological factors and efforts needed by users and managers in facilitating worksharing. This chapter contributes to research by applying the lens of 'knowing in practice' to the context of worksharing.

Developing and Maintaining Knowledge Management Systems for Dynamic, Complex Domains

2011 ◽  
pp. 203-229 ◽  
Author(s):  
Lisa J. Burnell ◽  
John W. Priest ◽  
John R. Durrett
Keyword(s):  
Knowledge Management ◽  
Business Processes ◽  
Systems Development ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Agent Architectures ◽  
Knowledge Resources ◽  
Knowledge Based ◽  
Development Processes

An effective knowledge-based organization is one that correctly captures, shares, applies and maintains its knowledge resources to achieve its goals. Knowledge Management Systems (KMS) enable such resources and business processes to be automated and are especially important for environments with dynamic and complex domains. This chapter discusses the appropriate tools, methods, architectural issues and development processes for KMS, including the application of Organizational Theory, knowledge-representation methods and agent architectures. Details for systems development of KMS are provided and illustrated with a case study from the domain of university advising.

Developing and Maintaining Knowledge Management Systems for Dynamic, Complex Domains

2011 ◽  
pp. 571-592
Author(s):  
Lisa J. Burnell ◽  
John W. Priest ◽  
John R. Durrett
Keyword(s):  
Knowledge Management ◽  
Business Processes ◽  
Systems Development ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Agent Architectures ◽  
Knowledge Resources ◽  
Knowledge Based ◽  
Development Processes

An effective knowledge-based organization is one that correctly captures, shares, applies and maintains its knowledge resources to achieve its goals. Knowledge Management Systems (KMS) enable such resources and business processes to be automated and are especially important for environments with dynamic and complex domains. This chapter discusses the appropriate tools, methods, architectural issues and development processes for KMS, including the application of Organizational Theory, knowledge-representation methods and agent architectures. Details for systems development of KMS are provided and illustrated with a case study from the domain of university advising.

Human Resource Development as a Knowledge Management System

2016 ◽  
pp. 1-19 ◽  
Author(s):  
Claretha Hughes ◽  
Matthew W. Gosney
Keyword(s):  
Knowledge Management ◽  
Human Resource Development ◽  
Human Resource ◽  
Management System ◽  
Resource Development ◽  
Point Of View ◽  
Knowledge Management System ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Transfer Of Knowledge

The crux of the challenge in bridging the scholar-practitioner gap in Human Resource Development is in creating effective mechanisms for the transfer of knowledge between scholars and practitioners. Emerging literature on the topic of knowledge management, and of knowledge management systems, provide a compelling point of view in which to consider the scholar-practitioner gap in HRD. In the chapter, knowledge management systems, as a functional outcropping of systems theory, are considered along with the use of logic models to develop and evaluate organization and program effectiveness. Preliminary research results conducted by Hughes and Wang (2015) gives further support to the notion that considering HRD as a knowledge management system may provide a framework for bridging the scholar-practitioner gap.

scholarly journals Why People Keep Using Knowledge Management Systems: A Causal Analysis of Continuance Behavior

2022 ◽  
Vol 19 (3) ◽  
pp. pp237-254
Author(s):  
Eric Tucker ◽  
Timothy Kotnour
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Structural Equation ◽  
Online Survey ◽  
Knowledge Management System ◽  
Management Systems ◽  
Coefficient Of Determination ◽  
Equation Modeling ◽  
Knowledge Management Systems ◽  
Continuous User

This study examines the factors that cause a person to become a continuous user of a knowledge management system by examining continuance behavior. Continuance behavior is the decision to continue using a product after initial use. The data for this study were obtained using an online survey. The results were analyzed using partial least squares structural equation modeling. Six main hypotheses were developed which resulted in the evaluation of fourteen hypotheses. The results show that the technological features of a knowledge management system positively influence a user’s evaluation with limited influence from the system’s community features. The results produced a 58% coefficient of determination for knowledge management systems continuance intention and 37% for knowledge management systems continuance behavior. This investigation serves as a foundation for further research on the continuance usage of knowledge management systems. It addresses the needs of practitioners by examining which conditions they can manage to increase the purposeful use of their organizations’ knowledge management systems. The study also addresses the needs of academia by expanding the literature on continuance behavior of knowledge management systems.

scholarly journals Effectiveness of the Partial Implementation of a Cloud-Based Knowledge Management System

2020 ◽  
Vol 15 (13) ◽  
pp. 155
Author(s):  
Zhi-Qin Liu ◽  
Evgenij Dorozhkin ◽  
Nataliia Davydova ◽  
Nadezhda Sadovnikova
Keyword(s):  
Cloud Computing ◽  
Knowledge Management ◽  
Management System ◽  
Cloud Services ◽  
Knowledge Management System ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Computing Technologies ◽  
Partial Implementation

Nowadays cloud computing technologies are cost-effective services enabling to generate the learning quality. The goal of this research is to define the borderline of the effectiveness and limitation of the partial implementation of Knowledge Management System based on cloud computing technologies. In view of this, the research in the form of knowledge testing as well as objective and subjective assessment of the learning quality within a wide sampling of 396 students in two independent reference groups was conducted. One of the groups has used traditional methods of the training conducted in classrooms by applying e-learning, and the other one has used the Knowledge Management System based on cloud services under the most budgetary option. As a result, a range of certain differences in the quality of training of two groups was found out and the latter must be used for a further study. According to the results of all tests related to the quality of training, in the group, that has used Knowledge Management Systems and cloud computing technologies, the students have demonstrated results above average in various tests than in the group where these technologies have not been used. The results allow defining specific advanced features of Knowledge Management Systems with the application of cloud computing technologies in the education.

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