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Article
Publication date: 1 December 2002

R. Maule, G. Schacher and S. Gallup

Government agencies carry out many events each year designed to determine future requirements and capabilities. These events include field experiments, surveys…

Abstract

Government agencies carry out many events each year designed to determine future requirements and capabilities. These events include field experiments, surveys, interviews, simulations and workshops. Similar themes are evident across many of these events. Unfortunately, mechanisms for passing information from one event to the next, or for developing bodies of knowledge in the topical areas they address, have yet to be fully developed. The task is difficult on two fronts. In response to this need a knowledge management capability was developed to help provide structure for dynamic and static data and thereby, aid in the analysis of complex experimentation. The system warehouses qualitative and quantitative data and supports mining operations through a number of traditional and artificial intelligence‐based techniques. Described are the information architecture of the system, the knowledge processing methodologies, and the structure of the thematic data sets that form the knowledge ontologies.

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Internet Research, vol. 12 no. 5
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 10 April 2009

Xiangyi Lin, Qingpu Zhang and Xiaolin Han

The purpose of this paper is to utilize “Wuli‐Shili‐Renli (WSR)” system methodology to analyze complexity of knowledge and knowledge management and create models for…

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902

Abstract

Purpose

The purpose of this paper is to utilize “Wuli‐Shili‐Renli (WSR)” system methodology to analyze complexity of knowledge and knowledge management and create models for knowledge management system (KMS) synthetically.

Design/methodology/approach

As a complex system, knowledge management should be analyzed and established by system methodologies. There are many system methodologies. Owing to WSR is characteristic of oriental culture; the paper introduces concept and working process of WSR system methodology in knowledge management from WSR perspective.

Findings

WSR system methodology can be used to analyze contents of WSR in KMS and to establish an effective KMS.

Research limitations/implications

How to define WSR in KMS is a little difficult for users.

Practical implications

A new approach for system analysis and establishment of a successful KMS.

Originality/value

The paper shows how the WSR system approach can integrate quantitative approach and qualitative analysis to analyze and establish a KMS synthetically.

Details

Kybernetes, vol. 38 no. 3/4
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 1 March 1998

Jay Liebowitz

Knowledge management is one of the hottest topics in organizations today. Much of what is being proposed and accomplished is not novel by any means. Techniques, tools…

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1787

Abstract

Knowledge management is one of the hottest topics in organizations today. Much of what is being proposed and accomplished is not novel by any means. Techniques, tools, concepts, and methodologies can easily be borrowed from the expert systems and artificial intelligence disciplines. This paper emphasizes that expert systems need to be an integral part of knowledge management if knowledge management is to succeed, and not simply be a fad!

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Kybernetes, vol. 27 no. 2
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 1 May 1989

Joe Peppard

The application of information technology (IT) to corporateenvironments is now widespread. Recent years have seen IT successfullyapplied to a wide range of corporate…

Abstract

The application of information technology (IT) to corporate environments is now widespread. Recent years have seen IT successfully applied to a wide range of corporate activities. Artificial intelligence, in the guise of knowledge‐based systems is on the point of delivering its long awaited potential. With many successful systems developed over the past three or four years, the time is now ripe for the corporation to develop a coherent strategy to investigate and exploit this technology. In this, the second of two articles looking at knowledge‐based systems, we examine how the corporation can exploit this technology for strategic and competitive advantage. It discusses the organisational implications of KBS as well as the impact and pay‐off that can be expected.

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Management Decision, vol. 27 no. 5
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 10 April 2007

Kevin J. O'Sullivan

The purpose of the article is to identify and define an internal communications plan that may assist in the successful deployment of a knowledge management system.

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4305

Abstract

Purpose

The purpose of the article is to identify and define an internal communications plan that may assist in the successful deployment of a knowledge management system.

Design/methodology/approach

This article focuses on communications strategies that may be adopted by organizations deploying knowledge management systems where resistance to the implementation of such systems may exist. Such resistance may be a result of issues such as trust, organizational culture and misunderstandings as to the nature of knowledge management and knowledge management systems. An internal communications plan is proposed with a focus on knowledge management systems which details target audiences, timing strategies and suggests possible media solutions including traditional collaterals and conversational support technologies to facilitate improved deployments of such systems.

Findings

The article proposes a framework of communications methodologies, timings and target audiences to be considered during the deployment, pilot and pre‐pilot phases of a KM system implementation. It concludes by discussing the opportunities to use conversational technologies in deploying KM systems to knowledge workers.

Originality/value

The deployment issues raised in this article are expected to be of value to KM system developers, project managers, systems analysts, business executives and academic researchers.

Details

Journal of Knowledge Management, vol. 11 no. 2
Type: Research Article
ISSN: 1367-3270

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Abstract

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Knowledge Management Philosophy: Communication as a Strategic Asset in Knowledge Management
Type: Book
ISBN: 978-1-83909-634-1

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Article
Publication date: 1 May 2006

Mohd Syazwan Abdullah, Chris Kimble, Ian Benest and Richard Paige

The goal of this paper is to re‐evaluate the role of knowledge‐based systems (KBS) in knowledge management (KM). While knowledge‐based systems and expert systems were

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3647

Abstract

Purpose

The goal of this paper is to re‐evaluate the role of knowledge‐based systems (KBS) in knowledge management (KM). While knowledge‐based systems and expert systems were widely used in the past, they have now fallen from favor and are largely ignored in the knowledge management literature. This paper aims to argue that several factors have changed and it is now time to re‐evaluate the contribution that such systems can make to knowledge management.

Design/methodology/approach

The role of KBS in KM is explored through a comprehensive analysis of both the management and the technical literature on knowledge. The literature on KBS and expert systems is reviewed and some of the problems faced by them are highlighted. Some of the probable causes of these problems and some of the solutions that might be used to overcome them are indicated. The paper describes how knowledge systems (KS) could be used as an effective tool for managing knowledge.

Findings

The lack of success of KBS technologies for managing knowledge is mainly due to organizational and managerial issues. These problems can be solved through feasibility studies before system development activities. KS technology is now being successfully applied in a variety of newer domains that exploit its capabilities.

Practical implications

Some conclusions are drawn concerning integration of knowledge systems with knowledge management, problems of the early implementation of knowledge systems technology, and possible solution to overcome these problems.

Originality/value

The main contribution of the article is in re‐evaluating the role of knowledge‐based systems as a tool for knowledge management.

Details

Journal of Knowledge Management, vol. 10 no. 3
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 13 February 2017

Kamla Ali Al-Busaidi and Lorne Olfman

Inter-organizational knowledge sharing systems (IOKSS) are crucial for scientific, social and economic development especially in knowledge-intensive sectors. Knowledge

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4445

Abstract

Purpose

Inter-organizational knowledge sharing systems (IOKSS) are crucial for scientific, social and economic development especially in knowledge-intensive sectors. Knowledge sharing processes and systems will not only be challenged by individual and organizational factors but also by social, technical and political inter-organizational factors. This paper aims to investigate the impact of knowledge worker, peer, IOKSS, organization and sector factors on knowledge workers’ intention to share knowledge through IOKSS. Knowledge workers are the key stakeholders that enable the survival of IOKSS.

Design/methodology/approach

Data were collected, through a questionnaire, from knowledge workers in the education and the health sectors.

Findings

This study found that the human factors (related to knowledge workers and their peers) have significant direct impact on intention to share knowledge through IOKSS. Other factors, such as IOKSS system, organization and sector factors showed indirect impacts on knowledge workers’ intention to share knowledge through IOKSS. Such investigation can be very valuable for developing countries as technological innovations such as IOKSS can be crucial for training and building human resources, and national knowledge management.

Originality/value

Little is empirically known about the enablers of sharing knowledge in systems that connect organizations in horizontal linkage in a specific sector or industry. The study also adds value to under investigated region.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 47 no. 1
Type: Research Article
ISSN: 2059-5891

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Article
Publication date: 13 February 2017

Helen N. Rothberg and G. Scott Erickson

This paper aims to bring together the existing theory from knowledge management (KM), competitive intelligence (CI) and big data analytics to develop a more comprehensive…

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3562

Abstract

Purpose

This paper aims to bring together the existing theory from knowledge management (KM), competitive intelligence (CI) and big data analytics to develop a more comprehensive view of the full range of intangible assets (data, information, knowledge and intelligence). By doing so, the interactions of the intangibles are better understood and recommendations can be made for the appropriate structure of big data systems in different circumstances. Metrics are also applied to illustrate how one can identify and understand what these different circumstances might look like.

Design/methodology/approach

The approach is chiefly conceptual, combining theory from multiple disciplines enhanced with practical applications. Illustrative data drawn from other empirical work are applied to illustrate some concepts.

Findings

Theory suggests that the KM theory is particularly useful in guiding big data system installations that focus primarily on the transfer of data/information. For big data systems focused on analytical insights, the CI theory might be a better match, as the system structures are actually quite similar.

Practical implications

Though the guidelines are general, practitioners should be able to evaluate their own situations and perhaps make better decisions about the direction of their big data systems. One can make the case that all the disciplines have something to add to improving how intangibles are deployed and applied and that improving coordination between KM and analytics/intelligence functions will help all intangibles systems to work more effectively.

Originality/value

To the authors’ knowledge, very few scholars work in this area, at the intersection of multiple types of intangible assets. The metrics are unique, especially in their scale and attachment to theory, allowing insights that provide more clarity to scholars and practical direction to industry.

Details

Journal of Knowledge Management, vol. 21 no. 1
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 20 February 2009

Ravi Shankar, Sourish Acharia and Alok Baveja

In today's knowledge economy, a major challenge for the managers is to effectively link the knowledge management (KM) initiatives with the ever‐changing organizational

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4062

Abstract

Purpose

In today's knowledge economy, a major challenge for the managers is to effectively link the knowledge management (KM) initiatives with the ever‐changing organizational needs. The problem arises due to disjoint strategic alignment between these two, which is mainly due to inappropriate KM framework and adoption of some quick‐fix solutions to achieve business results. Hence, for effective management and utilization of knowledge assets, KM initiative should be dovetailed to link with key organizational goals like new product development (NPD), customer satisfaction and manufacturing excellence. The purpose of this paper is to propose a suitable KM system.

Design/methodology/approach

This paper proposes an approach for KM system development to ensure a fit between the organizational needs during NPD and KM initiatives. Soft system methodology (SSM) has been adopted to design this framework.

Findings

This research identified a list of knowledge‐sharing methods, which help in intra‐level or inter‐level knowledge flow. The proposed framework highlights the hierarchal nature and bi‐directional flow of knowledge. Further, this work observed that there are two additional key enablers to effective knowledge management system – competency and infrastructure.

Research limitations/implications

This work focuses on an auto‐component supplier in India. Therefore, this work is limited by the organizational culture, location, business model and the sector in which this research was done.

Originality/value

This paper suggests that a technical knowledge driven process like NPD has three strategic enablers – technology, people and process. The sustenance of the NPD process is affected by the balance among these enablers. Fundamentally, a comprehensive and integrative framework not only ensures a structured framework but also helps in better adoption due to stakeholders' buy‐in of the process.

Details

Journal of Knowledge Management, vol. 13 no. 1
Type: Research Article
ISSN: 1367-3270

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1 – 10 of over 194000