The Knowledge Management Information Landscape — Awareness, Access, Use and Value of Sources

2015 ◽  
Vol 14 (02) ◽  
pp. 1550002 ◽  
Author(s):  
Denise A. D. Bedford
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Critical Component ◽  
Management Information ◽  
Specific Knowledge ◽  
Public Survey ◽  
Knowledge Organisation ◽  
Information Awareness ◽  
Information Valuation ◽  
Information Landscape

Information landscape is a critical component of professional and scholarly disciplines. Established disciplines have a managed information foundation covering primary, secondary and tertiary sources, targeted search capabilities, discipline-specific knowledge organisation tools and services, and quality controlled review processes. The information landscapes of emerging disciplines may be more chaotic and unsettled, and present challenges for professionals. This research considers the information landscape of the knowledge management discipline. An open public survey of knowledge professionals provides insights into three factors that affect the landscape including: (1) information awareness; (2) information use and access; and (3) information valuation. Findings highlight key information management challenges, and offer suggestions for solutions.

Management in architectural design: A reflection on the profession and education

2021 ◽  
pp. 095042222110616
Author(s):  
Maryamnaz Nikseresht ◽  
Farhang Mozaffar ◽  
Seyyed Bagher Hosseini
Keyword(s):  
Knowledge Management ◽  
Project Management ◽  
Information Management ◽  
Architectural Design ◽  
Business Management ◽  
Influential Factors ◽  
Quality Factors ◽  
Management Information ◽  
Education Management ◽  
Personal Skills

Because employers highlight time, cost, and quality factors in an architect’s work environment, it has become essential to emphasize management techniques and the application of required skills in the project design process. The aim of this study is to compare the factors influencing the management of architectural design in both the professional and academic fields. A quantitative research method was adopted and, using questionnaires and the Fuzzy Analytic Hierarchy Process (FAHP), important factors were compared and analyzed. In this regard, six influential factors in architectural design management were identified: namely, project management, business management, education management, personal skills management, information management, and knowledge management. These factors were further classified into three areas: design processes, competitiveness, and structuring. These three areas were scaled according to their importance in academic and professional work. It was found that project management and business management had greater importance in professional environments, whereas education management, information management, personal skills management, and knowledge management had greater importance in the academic and educational environments.

Information management methods and successful business

2020 ◽  
pp. 34-41
Author(s):  
V.A. Morozov
Keyword(s):  
Information Management ◽  
Management Information Systems ◽  
Information Management System ◽  
Information Flows ◽  
Management Information ◽  
Use Of Resources ◽  
Effective Operation ◽  
Modern Business ◽  
Successful Business ◽  
Structural Levels

The article deals with the methodological understanding of management information systems and their use for modern business. The article considers information flows moving through various structural levels of decision-making in the organization, as well as high-quality software for complex systems. We have studied the information management system (MIS), which includes the process of collecting, processing, storing, retrieving and transmitting relevant data for effective operation management. It is determined that the meaning of information management in organizations is to help solve the problems of institutional growth, development and productivity through the described methods of making better decisions related to the use of resources in a dynamic and changing environment.

A Law Firm Librarian's Guide to KM

2016 ◽  
Vol 16 (3) ◽  
pp. 131-137 ◽  
Author(s):  
Hélène Russell
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Law Firm ◽  
Business Goals ◽  
Information Professionals

AbstractThis article is written by Hélène Russell, author and teacher in the field of legal sector Knowledge Management. It presents an easy to read foundation level guide to legal sector Knowledge Management for law firm Information Professionals. It explains what Knowledge is, what Knowledge Management (KM) is, how it differs from Information Management (IM) and how law firm Information Professionals can expand their roles to help their organisations meet business goals through strategic KM as well as IM, or manage an imposed transition from IM to IM+KM.

scholarly journals Conceptualising 'knowledge management' in the context of library and information science using the core/periphery model

2009 ◽  
Vol 11 (4) ◽  
Author(s):  
O.B. Onyancha ◽  
D.N. Ocholla
Keyword(s):  
Knowledge Management ◽  
Information Science ◽  
Library Science ◽  
Library And Information Science ◽  
Single Subject ◽  
Management Information ◽  
The Core ◽  
Information Resources Management ◽  
Science Management ◽  
Science Information

This study took cognisance of the fact that the term 'knowledge management' lacks a universally accepted definition, and consequently sought to describe the term using the most common co-occurring terms in knowledge management (KM) literature as indexed in the Library, Information Science and Technology Abstracts (LISTA) database. Using a variety of approaches and analytic techniques (e.g. core/periphery analysis and co-occurrence of words as subject terms), data were analysed using the core/periphery model and social networks through UCINET for Windows, TI, textSTAT and Bibexcel computer-aided software. The study identified the following as the compound terms with which KM co-occurs most frequently: information resources management, information science, information technology, information services, information retrieval, library science, management information systems and libraries. The core single subject terms with which KM can be defined include resources, technology, libraries, systems, services, retrieval, storage, data and computers. The article concludes by offering the library and information science (LIS) professionals' general perception of KM based on their use of terms, through which KM can be defined within the context of LIS.

scholarly journals Toward Knowledge Management for Smart Manufacturing

2017 ◽  
Vol 17 (3) ◽  
Author(s):  
Shaw C. Feng ◽  
William Z. Bernstein ◽  
Thomas Hedberg ◽  
Allison Barnard Feeney
Keyword(s):  
Knowledge Management ◽  
Design Process ◽  
Process Planning ◽  
Smart Manufacturing ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Knowledge Objects ◽  
Planning Production

The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing (SM). Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of SM. The case study in this paper provides some example knowledge objects to enable SM.

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