scholarly journals Information Systems and Healthcare XXXIV: Clinical Knowledge Management Systems—Literature Review and Research Issues for Information Systems

2010 ◽  
Vol 26 ◽  
Author(s):  
Matthew J. Wills ◽  
Surendra Sarnikar ◽  
Omar F. El-Gayar ◽  
Amit V. Deokar
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Literature Review ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Clinical Knowledge ◽  
Research Issues

Utilizing a systematic literature review to develop an integrated framework for information and knowledge management systems

2017 ◽  
Vol 47 (2) ◽  
pp. 250-264 ◽  
Author(s):  
Chulatep Senivongse ◽  
Alex Bennet ◽  
Stefania Mariano
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Value Added ◽  
Specific Area ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Content Type ◽  
Integrated Framework ◽  
Information And Knowledge Management

Purpose The purpose of this paper is to demonstrate the value of using a systematic literature review to develop an integrated framework for information and knowledge management systems. Design/methodology/approach First, the systematic literature review method is introduced, differentiating it from traditional literature reviews in terms of value-added and limitations. Second, this methodology is used in a research application focused on absorptive capacity internal capabilities with regard to the processes of acquisition, assimilation, transformation and exploitation. Third, an integrated framework for information and knowledge management systems is developed from this application. Findings The systematic literature review approach provides a rigor that can assist in reducing researcher bias while simultaneously enabling the definition of a precise scope of review, with a clear explanation of selection criteria with the objective to find and review all the studies that are relevant to the search definitions. As a research method, it effectively supports a qualitative, quantitative or mixed methodology. Research limitations/implications This methodology was applied to one specific area of research. Specific limitations include the availability of articles in subscribed databases and the analytical capabilities of the tools used for text mining and analytics. Originality/value This paper demonstrates the usefulness of the systematic literature review methodology in developing an integrated framework for analysis.

Stages of Information Systems in E-Government for Knowledge Management

2011 ◽  
pp. 270-280
Author(s):  
Petter Gottschalk
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Police Officers ◽  
Growth Models ◽  
Knowledge Work ◽  
Management Systems ◽  
Financial Crime ◽  
Knowledge Management Systems ◽  
Knowledge Intensive ◽  
Direction Information

A stage model for knowledge management systems in policing financial crime is developed in this chapter. Stages of growth models enable identification of organizational maturity and direction. Information technology to support knowledge work of police officers is improving. For example, new information systems supporting police investigations are evolving. Police investigation is an information-rich and knowledge-intensive practice. Its success depends on turning information into evidence. This chapter presents an organizing framework for knowledge management systems in policing financial crime. Future case studies will empirically have to illustrate and validate the stage hypothesis developed in this paper.

Semantic Integration of Structured and Unstructured Data in Data Warehousing and Knowledge Management Systems

2011 ◽  
pp. 81-105
Author(s):  
Liane Haak
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Data Warehousing ◽  
Semantic Integration ◽  
Unstructured Data ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Application Area ◽  
Ontology Integration ◽  
Basic Ideas

Nowadays, increasing information in enterprises demands new ways of searching and connecting the existing information systems. This chapter describes an approach for the integration of structured and unstructured data focusing on the application to Data Warehousing (DW) and Knowledge Management (KM). Semantic integration is used to improve the interoperability between two well-known and established information systems in the business context of nowadays enterprises. The objective is to introduce a semantic solution in the field of Business Intelligence based on ontology integration. The main focus of this chapter is not to provide a complete literature review of all existing approaches or just to point put the motivation for such an approach. In fact, it presents, under consideration of the most important research approaches, a solution for how a Semantic Integration could be technically achieved in this specific application area. After pointing out the motivation, a short introduction to Semantic Integration, the problems and challenges occurring from it, and the application area of Knowledge Management and Data Warehousing are given. Besides the basic ideas of ontologies and ontology integration are introduced. The approach itself starts with a short overview on the determined requirements, followed by a concept for generating an ontology from a Data Warehouse System (DWS) to be finally integrated with Knowledge Management Systems (KMS) ontology. Finally SENAGATOR, an exemplarily system for semantic navigation based on integrated ontologies, is shortly introduced.

MEASURING THE CONTRIBUTIONS OF KNOWLEDGE MANAGEMENT SYSTEMS TO THE STRATEGIC COMPETITIVENESS OF ORGANIZATIONS: A REVIEW AND A MODEL

2010 ◽  
Vol 07 (02) ◽  
pp. 89-107 ◽  
Author(s):  
ELIE GEISLER
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Absorptive Capacity ◽  
Knowledge Systems ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Multi Stage ◽  
Intermediate Outcomes ◽  
Stage Process ◽  
The Relationship

Why and how do Knowledge Management Systems (KMS) contribute to the strategic competitiveness of organizations? This paper reviews the literature and proposes a model in which KMS is viewed from three different perspectives: (1) crucial resource; (2) driver of absorptive capacity; and (3) innovation adopted by the organization. The paper critiques the method used by KMS researchers whereby co-variation of KMS and competitiveness is utilized to study the relationship between these variables. The model proposed here is a multi-stage process. The successful use of KMS generates intermediate outcomes that in turn impact the organization and produces improved strategic competitiveness. The different approaches to KMS and the stage-process allow for the unique attributes of knowledge systems, different from information systems. The advantages and limitations of the model are discussed.

Ontology

2017 ◽  
pp. 79-102
Author(s):  
Syed Raiyan Ghani
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Information Systems ◽  
Cognitive Process ◽  
Information Overload ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Library Users

Library requires mighty technologies to support, sort and categorize information in the shortest span of time for better knowledge-tasks and decision-making. Ontology is one of the needs and adroitness which helps library users in acquiring better standardized vocabulary, better routes and better search. The chapter discusses how ontology libraries can process as a connection in modifying versatile users and diligence to reveal, judge, utilize, and disseminate the information overload. The Ontology–based Information Systems (IS) and Knowledge Management Systems (KMS) helps cognitive process of reaching a decision which are used to draw out user information and fuzzy ontologies are applied to store the accumulated knowledge.

Knowledge Management Systems

2011 ◽  
pp. 442-450 ◽  
Author(s):  
Ronald Maier ◽  
Thomas Hadrich
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Content Management ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Future Trends ◽  
E Learning ◽  
Abstract Level ◽  
State Of Practice ◽  
Content Management Systems

Knowledge management systems (KMSs) are seen as enabling technologies for an effective and efficient knowledge management (KM). However, up to date the term knowledge management system has often been used ambiguously. Examples are its use for specific KM tools, for KM platforms, or for (a combination of) tools that are applied with KM in mind. So far, investigations about the notion of KMS remain on the abstract level of what a KMS is used for, for example, “a class of information systems applied to managing organizational knowledge” (Alavi & Leidner, 2001, p. 114). The following two sections define the term KMS and obtain a set of characteristics that differentiates KMS from traditional information systems, such as intranet infrastructures, document- and content-management systems, groupware, or e-learning systems. Then, two ideal architectures for KMS are contrasted. It is discussed which KMS architecture fits what type of KM initiatives, and some empirical findings on the state of practice of KMS are summarized. The last sections give an outlook on future trends and conclude the article.

Back to the future of Knowledge Management Systems off the beaten paths

2020 ◽  
Vol 58 (9) ◽  
pp. 1953-1984
Author(s):  
Roberto Cerchione ◽  
Piera Centobelli ◽  
Pierluigi Zerbino ◽  
Amitabh Anand
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Knowledge Translation ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Collaborative Relationships ◽  
Content Type ◽  
Research Questions ◽  
Forms Of Knowledge

PurposeThe evolution of Knowledge-Management (KM)-related literature has highlighted that Knowledge Management Systems (KMSs) have undergone massive changes in collaborative environments. Information-Systems-enabled KM seems to be the necessary response to the recent challenges posed by globalisation and technology dynamics to both large companies (LCs) and small and medium enterprises (SMEs).Design/methodology/approachThis paper provides a systematic review about KMSs to offer an analytical overview of their role in supporting innovative forms of knowledge translation occurring in collaborative relationships. A sample of 129 papers was selected and analysed according to three perspectives: unit of analysis (LCs, SMEs), phases of the KM process (adoption, translation) and topic area (KM Practices, KM Tools, KMSs).FindingsThe findings highlight five literature gaps: (1) the role of KM practices supporting knowledge translation; (2) the impact of the alignment among KM practices, firm's complexity, dimension and culture on KM process; (3) the effect of KM tools on knowledge translation; (4) the variety of KMSs exploited in both LCs and SMEs; and (5) the alignment between organisational structure and information systems in KM context. Accordingly, 13 research questions were formulated.Originality/valueThe proposed research questions define a formal research agenda that could steer further research efforts about the KMS topic for improving the body of knowledge in the KM field. Scientific literature is currently lacking a contribution assessing the role of KMSs in supporting innovative forms of knowledge translation that occur in collaborative relationships.

scholarly journals Knowledge representation issues in ontology-based clinical Knowledge Management systems

2009 ◽  
Vol 47 (1/2/3) ◽  
pp. 191 ◽  
Author(s):  
Juan Jose Sicilia ◽  
Miguel Angel Sicilia ◽  
Salvador Sanchez Alonso ◽  
Elena Garcia Barriocanal ◽  
Maria Pontikaki
Keyword(s):  
Knowledge Management ◽  
Knowledge Representation ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Clinical Knowledge

Organizational Controls as Enablers and Constraints in Successful Knowledge Management Systems Implementation

2001 ◽  
pp. 326-336 ◽  
Author(s):  
Yogesh Malhotra
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Knowledge Sharing ◽  
Information Technologies ◽  
Organizational Management ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Organizational Controls ◽  
Systems Implementation ◽  
New Knowledge

Many current implementations of organizational knowledge management, although based on the most advanced information technologies, are hobbled by the pervading organizational controls. Such information systems related organizational controls could spell the success or failure of organizational management initiatives despite application of latest groupware and collaboration software. Often, such failures of knowledge management systems implementations arise from incorrect understanding and misapplication of the notion of ‘controls.’ Hence, it is critical to develop a better understanding of information systems related organizational controls so that they can facilitate the success of knowledge management systems implementations. This chapter fills the critical void of incomplete and often incorrect interpretations of organizational controls by developing a better theoretical and conceptual understanding of organizational controls and their pragmatic implications. The chapter also proposes an organic model of organizational controls for design of knowledge management systems that can effectively enable creation of new knowledge, renewal of existing knowledge and knowledge sharing.

A Framework for Understanding the Complementary Roles of Information Systems and Knowledge Management Systems

2014 ◽  
Vol 4 (3) ◽  
pp. 39-55 ◽  
Author(s):  
Sana Bent Aboulkacem Guetat ◽  
Salem Ben Dhaou Dakhli
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Competitive Advantage ◽  
Critical Role ◽  
Integrated Approach ◽  
Scientific Discipline ◽  
Management Systems ◽  
Management Approach ◽  
Knowledge Management Systems ◽  
Sustainable Competitive Advantage

Knowledge is nowadays an essential resource for modern organizations to support sustainable competitive advantage. Many authors point out that as knowledge is created, disseminated, and applied, it contributes to value creation within organizations by enhancing their capabilities to respond to pressures from the external environment. To acknowledge the critical role of knowledge in modern organizations, knowledge management has emerged as a scientific discipline. However, the dominant view of knowledge management is technology-oriented and considers this activity primarily as an integrated approach to identifying, retrieving, capturing, storing and sharing organization's information assets. This mechanistic and technology-oriented view of knowledge management is the main cause of the failure of many knowledge management systems built within modern organizations. It is thought that the well-established technology oriented knowledge management approach has to be improved in order to facilitate building effective knowledge management systems which help modern organizations in their search of continuous and sustainable competitive advantage. This paper proposes a framework - based on the Popper's three worlds' theory - which helps understand the complementary roles of information systems and knowledge management systems.

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