Physicians' Participation in Practice of Knowledge Management Systems

2013 ◽  
Vol 12 (02) ◽  
pp. 1350012 ◽  
Author(s):  
Hsien-Cheng Lin ◽  
Chen-Wei Yang ◽  
Jeng-Yuan Chiou
Keyword(s):  
Knowledge Management ◽  
Intellectual Capital ◽  
Information Quality ◽  
Management Systems ◽  
Healthcare Organisation ◽  
Knowledge Management Systems ◽  
System Quality ◽  
Is Success ◽  
Knowledge Based ◽  
Patient Health

Healthcare organisations are knowledge-based establishments. At a healthcare organisation, computer-based information systems (ISs) are powerful tools for improving care using decision support such as patient health data recording, storing, delivery and retrieval. This study investigates the physicians' perspective for the success of ISs, and the relationships between the users' satisfactions and intellectual capital. We adopted a questionnaire survey for the purpose of outcome assessment and the correlations among each dimension, from a sample of 181 physicians in Taiwan's international medical service centres. The results indicate that IS success is significantly related to intellectual capital. With regard to IS quality, system quality has no significant effects on information quality and patients' privacy protection. This research provides empirical evidence to evaluate IS success in healthcare organisations and suggestions for how to promote physicians using knowledge management systems.

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.

scholarly journals Social capital, IT capability, and the success of knowledge management systems

2009 ◽  
pp. 36-50
Keyword(s):  
Social Capital ◽  
Knowledge Management ◽  
Service Quality ◽  
User Satisfaction ◽  
Management Systems ◽  
Future Research ◽  
Knowledge Management Systems ◽  
Research Model ◽  
System Quality ◽  
It Capability

Many organizations have implemented knowledge management systems to support knowledge management. However, many of such systems have failed due to the lack of relationship networks and IT capability within organizations. Motivated by such concerns, this paper examines the factors that may facilitate the success of knowledge management systems. The ten constructs derived from social capital theory, resource-based view and IS success model are integrated into the current research model. Twenty-one hypotheses derived from the research model are empirically validated using a field survey of KMS users. The results suggest that social capital and organizational IT capability are important preconditions of the success of knowledge management systems. Among the posited relationships, trust, social interaction ties, IT capability do not significantly impact service quality, system quality and IT capability, respectively. Against prior expectation, service quality and knowledge quality do not significantly influence perceived KMS benefits and user satisfaction, respectively. Discussion of the results and conclusion are provided. This study then provides insights for future research avenue.

The role of quality perceptions and perceived ubiquity in adoption intention of mobile knowledge management systems (MKMS) in semiconductor industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Audrey Poh Choo Cheak ◽  
Chin Wei Chong ◽  
Yee Yen Yuen
Keyword(s):  
Knowledge Management ◽  
Service Quality ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Perceived Benefits ◽  
System Quality ◽  
Content Type ◽  
Quality Perceptions ◽  
User Friendly ◽  
Adoption Intention

Purpose First, this study aims to investigate the effects of quality perceptions (i.e. system quality, information quality and service quality) and perceived ubiquity on engineers’ perceived benefits and perceived user-friendly of mobile knowledge management systems (MKMS). Second, it aims to examine the influence of perceived benefits and perceived user-friendly on MKMS adoption intention. Design/methodology/approach Quantitative empirical research using an integrated technology acceptance model and information systems success model was used, among semiconductors engineers in Malaysia. There were only 375 usable responses collected, which are at a response rate of 59.52%. The partial least squares version 3.0 was used to analyze the valid data collected. Findings The results suggest that service quality plays an important role that would increase the engineers’ perception of MKMS benefits and its user-friendliness. Intention to adopt MKMS was found to be strongly predicted by perceived MKMS benefits as compared to perceived user-friendly. Practical implications The findings are valuable for managers, engineers, knowledge management (KM) practitioners, MKMS developers and mobile device producers to enhance MKMS adoption intention. Originality/value Despite KM has been well accepted and established in the management science and practice area of study, yet it is still neglected in a “mobile” context. Accordingly, this paper contributes to the research gap.

Developing Knowledge Management Systems from a Knowledge-Based and Multi-Agent Approach

2009 ◽  
pp. 817-833
Author(s):  
Aurora Vizcaíno ◽  
Juan Pablo Soto ◽  
Javier Portillo-Rodríguez
Keyword(s):  
Knowledge Management ◽  
Software Agents ◽  
Knowledge Flows ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Technical Aspects ◽  
Knowledge Based ◽  
Retrieval Technique ◽  
Multi Agent ◽  
Developing Knowledge

Developing knowledge management systems is a complicated task since it is necessary to take into account how the knowledge is generated, how it can be distributed in order to reuse it, and other aspects related to the knowledge flows. On the other hand, many technical aspects should also be considered such as what knowledge representation or retrieval technique is going to be used. To find a balance between both aspects is important if we want to develop a successful system. However, developers often focus on technical aspects, giving less importance to knowledge issues. In order to avoid this, we have developed a model to help computer science engineers to develop these kinds of systems. In our proposal we first define a knowledge life cycle model that, according to literature and our experience, ponders all the stages that a knowledge management system should give support to. Later, we describe the technology (software agents) that we recommend to support the activities of each stage. The article explains why we consider that software agents are suitable for this end and how they can work in order to reach their goals. Moreover, a prototype that uses these agents is also described.

Innovations in Knowledge Management: Applying Modular Design

2014 ◽  
Vol 6 (2) ◽  
pp. 83-96 ◽  
Author(s):  
Fang-wei Zhu ◽  
Xiu-xia Sun ◽  
Janis Miller ◽  
Zhi-jun Deng
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Modular Design ◽  
Management Systems ◽  
Design Knowledge ◽  
Knowledge Management Systems ◽  
Advanced Method ◽  
Knowledge Based ◽  
Innovative Resources

This article presents an advanced method for managing knowledge using a modular design approach and applied the approach through an example with computer manufacturing. The benefits of modularity are discussed both within and between companies. We find that through modular design, knowledge management systems are simplified and communication between modules is greatly improved. In addition, modularity makes parallel innovation possible, as well as, sharing innovative resources through collaboration. Modularity leads to effective knowledge sharing and thus stimulates knowledge-based innovation. A case study of the computer industry further demonstrates the effects of modularity in an industry. Finally, we suggest that enterprises should take advantage of modularity when they carry out knowledge-based innovation and the measures are developed to implement successful modularity.

Enhancing knowledge sharing intention through the satisfactory context of continual service of knowledge management systems

2016 ◽  
Vol 29 (4) ◽  
pp. 807-829 ◽  
Author(s):  
Tse-Ping Dong ◽  
Chia-Liang Hung ◽  
Nai-Chang Cheng
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
User Satisfaction ◽  
Structural Equation ◽  
Cognitive Theory ◽  
Equation Model ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Is Success ◽  
Content Type

Purpose The purpose of this paper is to show how continual enhancement of knowledge management systems (KMSs) enhances knowledge sharing intention. Design/methodology/approach This study integrates information system (IS) success with social cognitive theory (SCT) to explain knowledge sharing intention. Based on a survey of 276 KMS users in Taiwan’s information technology industry, the structural equation model has been applied to examine the influence process from a user satisfactory context to personal cognitive beliefs, and thus knowledge sharing intention. Findings The results indicate that the user satisfactory context stimulated by continual KMS enhancement increases knowledge sharing intention through the mediation of personal cognition of self-efficacy and outcome expectancy. Practical implications The results have empirical implications for learning how to motivate developers’ patience and passion for follow-up improvements to meet user expectations empathically, which has been emphasized for service provision. Originality/value The originality of this research is its explanation of system adoption behavior, which combines the core of IS success with SCT, links user satisfaction to intention to use, and concerns behavior within a specific context.

scholarly journals The Impact of Intelligent Interfaces on the Performance of Knowledge Base Systems

2016 ◽  
Vol 4 (2) ◽  
pp. 84
Author(s):  
Abid Thyab Al Ajeeli
Keyword(s):  
Knowledge Management ◽  
Knowledge Base ◽  
Knowledge Bases ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Knowledge Based ◽  
Experimental Systems ◽  
Knowledge Base Systems ◽  
The Right ◽  
The Impact

<div><p><em>Although Knowledge is recognized as a strategic force in organizations, knowledge creation and management is not simply the capture and storage of items of information. It requires the storage and processing of associations through which meaning can be derived from the information. Association can be represented in explicit and observable forms in a knowledge base. The paper discusses issues relating to design a better quality</em><em> interactive interface system for human to have a dialog with the knowledge management systems. At the same time, the paper investigates the ease of evaluation and implementation of a knowledge management system. It performs a major role in providing users with capabilities of dealing with underlying systems. Designing a good interface style using knowledge bases can have a profound effect on the nature of the dialog. </em></p><p><em> </em></p><p><em>Interfacing a knowledge base oriented system can be seen as a dialog between the knowledge base and the user. It plays a major role in providing users with capabilities that deal with underlying systems. Designing a good interface style can have a profound effect on the nature of the dialog. Design of a user interface involves determining approaches in which users interact with the knowledge-based system. The design process, can be complex and multifaceted, begins by identifying system users, through classification of them to understanding their characteristics. The study investigates the improvement of performance by performing an actual study of many experimental systems sufficient to provide judgments for taking the right decision.  Results confirm that a good interface has a great impact on the performance of knowledge management systems. </em></p></div>

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