Use of Knowledge Management Systems and the Impact on the Acquisition of Explicit Knowledge

2008 ◽  
Vol 22 (2) ◽  
pp. 77-101 ◽  
Author(s):  
Holli McCall ◽  
Vicky Arnold ◽  
Steve G. Sutton

ABSTRACT: In an era where knowledge is increasingly seen as an organization's most valuable asset, many firms have implemented knowledge-management systems (KMS) in an effort to capture, store, and disseminate knowledge across the firm. Concerns have been raised, however, about the potential dependency of users on KMS and the related potential for decreases in knowledge acquisition and expertise development (Cole 1998; Alavi and Leidner 2001b; O'Leary 2002a). The purpose of this study, which is exploratory in nature, is to investigate whether using KMS embedded with explicit knowledge impacts novice decision makers' judgment performance and knowledge acquisition differently than using traditional reference materials (e.g., manuals, textbooks) to research and solve a problem. An experimental methodology is used to study the relative performance and explicit knowledge acquisition of 188 participants partitioned into two groups using either a KMS or traditional reference materials in problem solving. The study finds that KMS users outperform users of traditional reference materials when they have access to their respective systems/materials, but the users of traditional reference materials outperform KMS users when respective systems/materials are removed. While all users improve interpretive problem solving and encoding of definitions and rules, there are significant differences in knowledge acquisition between the two groups.

2018 ◽  
Vol 10 (1) ◽  
pp. 40-53
Author(s):  
Ladislav Burita ◽  
◽  
Denisa Hrusecka ◽  
Michal Pivnicka ◽  
Pavel Rosman ◽  
...  

Author(s):  
Maryam Fazel-Zarandi ◽  
Mark S. Fox ◽  
Eric Yu

Knowledge Management Systems that enhance and facilitate the process of finding the right expert in an organization have gained much attention in recent years. This chapter explores the potential benefits and challenges of using ontologies for improving existing systems. A modeling technique from requirements engineering is used to evaluate the proposed system and analyze the impact it would have on the goals of the stakeholders. Based on the analysis, an ontology-based expertise finding system is proposed. This chapter also discusses the organizational settings required for the successful deployment of the system in practice.


2020 ◽  
Vol 24 (2) ◽  
pp. 369-394 ◽  
Author(s):  
Euro Marques Júnior ◽  
Jose Alcides Gobbo ◽  
Fernando Fukunaga ◽  
Roberto Cerchione ◽  
Piera Centobelli

Purpose This paper aims to highlight the degree of diffusion and intensity of use of knowledge management systems (KMSs) among small and medium enterprises (SMEs) in Brazil and apply a taxonomy that synthesizes the strategies of use of KMSs by the SMEs. In addition, it seeks to better understand the processes, practices and technologies of KM by SMEs, pointing improvements in the KMS of Brazilian SMEs and contributing to obtain better results in the search for efficiency and innovation. Design/methodology/approach Based on a literature review on KMSs used by SMEs, an empirical investigation was conceived, developed and conducted through online questionnaires involving 49 selected SMEs operating in several sectors. Findings This paper reinforces the results of the previous work of Cerchione and Esposito (2017) that point to the existence of a reciprocal relationship between KM-Tools and KM-Practices: one reinforces the other and vice versa. On the other hand, it indicates a difference in the behavior of Brazilian companies in relation to the sample of Italian companies studied by Cerchione and Esposito (2017), which presented a negative correlation between the general differentiation index and the general use intensity index of SMEs, while the Brazilian ones showed a positive correlation. Research limitations/implications The study points out the need for greater dissemination of practices and tools to support knowledge management (KM), as well as greater support for the implementation and effective use of these practices and tools within the organizational context of SMEs. Practical implications This paper identifies the main practices and tools to support KM used by Brazilian SMEs, indicating the need for investments in employee training and acquisition of tools. Social implications SMEs represent an important part of the generation of jobs and income in Brazil. Initiatives that lead to the successful implementation of tools and practices to support KM can increase the efficiency and productivity of these organizations. Originality/value This paper applies in a sample of Brazilian companies the taxonomy proposed by Cerchione and Esposito (2017) combining strategies of SMEs for the use of KMSs.


2008 ◽  
pp. 351-373
Author(s):  
Jun Xu ◽  
Mohammed Quaddus

This article develops a model of adoption and continued use of knowledge management systems (KMSs), which is primarily built on Rogers’ (1995) innovation stages model along with two very important social psychology theories—Ajzen and Fishbein’s (1980) theory of reasoned action (TRA) and Davis’s (1986) technology acceptance model (TAM). It presents various factors and variables in detail. Hypotheses are developed which can be tested via empirical study. The proposed model has both theoretical and practical implications. It can be adapted for application in various organizations in national and international arena.


2009 ◽  
pp. 755-777
Author(s):  
Kun-Woo Yang ◽  
Soon-Young Huh

In knowledge management systems (KMS), managing explicit knowledge is comparatively easy using information technology such as databases. However, tacit knowledge, usually possessed by human experts in unstructured forms such as know-how and experiences, is hard to systemize. Recent research has shown that it is more effective to provide search mechanisms for experts than to directly search for specific knowledge itself in KMS to pinpoint experts with needed knowledge in the organizations so that users can acquire the knowledge from the found experts. In this article, we propose an intelligent search framework to provide search capabilities for experts who not only match search conditions exactly but also belong to the similar or related subject fields according to the user’s needs. In enabling intelligent searches for experts, the Fuzzy Abstraction Hierarchy (FAH) framework has been adopted. Based on FAH, searching for experts with similar or related expertise is facilitated using the subject field hierarchy defined in the system. While adopting FAH, a text categorization approach based on Vector Space Model is also utilized to overcome the limitation of the original FAH framework. To test applicability and practicality of the proposed framework, the prototype system, “Knowledge Portal for Researchers in Science and Technology” sponsored by the Ministry of Science and Technology (MOST) of Korea, has been developed.


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