Portals for Knowledge Management

2011 ◽  
pp. 795-800
Author(s):  
Lorna Uden ◽  
Marja Naaranoja
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
Business Processes ◽  
Explicit Knowledge ◽  
Economic Resource ◽  
Meaningful Information ◽  
Personal Belief ◽  
Embedded Knowledge ◽  
The Difference ◽  
E Mail

Knowledge is often defined to be meaningful information. Knowledge is derived from information. What makes the difference between data and information is their organisation, and what makes the difference between information and knowledge is their interpretation (Bhatt, 2001). It is defined as a dynamic human process of justifying personal belief towards the truth (Nonaka & Takeuchi, 1995). Knowledge can also be defined as know-why, know-how, and know-who, or an intangible economic resource from which future resources will be derived (Rennie, 1999). Knowledge is built from data, which is first processed into information (i.e., relevant associations and patterns). Information becomes knowledge when it enters the system and when it is validated (collectively or individually) as a relevant and useful piece of knowledge to implement in the system (Carrillo, Anumba, & Kanara, 2000). There are three types of knowledge within any organization, individual, group, and enterprise, and that knowledge can be generally classified along the lines of being explicit, embedded, and tacit. Explicit knowledge is knowledge represented in documents, books, e-mail, and databases. Embedded knowledge is organizational knowledge found in business processes, products, and services. Tacit knowledge is undocumented knowledge that is captured during business processes by knowledge workers.

A methodology for mining embedded knowledge from process maps1

2004 ◽  
Vol 23 (1) ◽  
pp. 1-13
Author(s):  
Francis D. Tuggle ◽  
Wendy E. Goldfinger
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
Business Processes ◽  
Marketing Research ◽  
Organizational Processes ◽  
Process Maps ◽  
Embedded Knowledge ◽  
Intellectual Assets ◽  
Fine Tune

Knowledge management is concerned with identifying, capturing, storing, reusing, and distributing the key intellectual assets of an organization. While there are well-established procedures for productively manipulating knowledge in explicit forms (e.g., groupware, expert systems, the Internet), less well developed are procedures for making tacit knowledge explicit. One form of tacit knowledge is that embedded in organizational processes. We present one methodology for mapping organizational processes and then using the resulting maps to extract knowledge about the organization implicit in those maps. From those process maps and the revelation of the embedded knowledge in them, valuable managerial insights can be mined. We show that an understanding of an organization's central processes reveals a treasurehouse of knowledge with many benefits for the firm. In particular, we exhibit a case study of a marketing research firm, and we model its process for converting a client's often vaguely stated needs into information useful to the client. From the revealed knowledge, managers can mine a rich set of insights providing opportunities that convey many prospective benefits: the firm can learn how to • better serve its clients; • more efficiently and effectively train its employees; • more effectively design its business processes; • fine-tune its strategy for conducting business in its marketplace; and, • derive a set of guidelines on how best to manage its knowledge workers. We conclude by sketching other possible arenas for knowledge exploitation in other phases of the firm's knowledge management chain: identification, storage, and distribution.

Knowledge management strategy: an organisational development approach

2019 ◽  
Vol 25 (7) ◽  
pp. 1474-1490 ◽  
Author(s):  
Made Andriani ◽  
T.M.A. Ari Samadhi ◽  
Joko Siswanto ◽  
Kadarsah Suryadi
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
Management Strategy ◽  
Growth Stage ◽  
Business Processes ◽  
Explicit Knowledge ◽  
Growth Stages ◽  
Organisational Development ◽  
Knowledge Management Strategy ◽  
Content Type

Purpose The purpose of this paper is to formulate a knowledge management strategy model that aligns with the organisational growth stage and the characteristics of the business processes at every growth stage. The difference in characteristics at each growth stage has an impact on the characteristics of business processes, such as decision making and the period of process execution. Design/methodology/approach This research focussed on three fashion companies in Indonesia, and data were collected using a historical case-study method. Data collection was performed through in-depth interviews with the business owners, directors and managers, by direct observation, and through the collection of secondary data from the companies’ documents. Findings Through this research, a knowledge management strategy based on organisational growth stages was produced. It was found that when an organisation is at the entrepreneurial stage, the knowledge management strategy focussed on humans with tacit knowledge as well as explicit knowledge. At the growth stage, a transformation of tacit knowledge into explicit knowledge, especially at the individual level, is required, whereas at the expansion stage, the focus of the knowledge management strategy is on a system usage at the organisation level. Research limitations/implications Research using the case studies method has a limitation in the generalisation of the model. The knowledge management strategy generated in this study is unique to the fashion industry, where if the research were performed in other industries, there is a possibility for different results. Moreover, the characteristics of the business processes that are examined in this study are limited to the period of implementation and level of interaction. Other more detailed dimensions such as task variety and task analysability can be used to obtain more detailed characteristics of business processes. Practical implications Using the knowledge management strategies model formulated at every growth stage, the company owner can specify a knowledge management strategy that suits the organisation’s goal. Also, the results of this research can provide information on the priority for developing a knowledge management system aligned with the company’s growth. Originality/value The knowledge management strategy formulation from the organisational development point of view has not been investigated previously. In fact, the needs of the organisation, along with its growth, will change. Therefore, this research provides a new perspective which is more dynamic and can be integrated into formulating the knowledge management strategy.

Knowledge management for library building design

2016 ◽  
Vol 37 (1/2) ◽  
pp. 2-12 ◽  
Author(s):  
Zhixian Yi
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
Explicit Knowledge ◽  
Continuous Process ◽  
Building Design ◽  
Design Principles ◽  
Design Strategies ◽  
Innovative Design ◽  
Content Type ◽  
Practical Implications

Purpose – In the digital age, constant changes in libraries inform contemporary building design. An innovative library building design is a complicated process and can be viewed as a continuous process of the use of tacit and explicit knowledge and innovative tools and approaches. Knowledge management (KM) can bring about the much needed innovation, and transform tacit knowledge to explicit knowledge. For the design of a library to be successful, it is necessary to apply KM to library building design. The purpose of this paper is to look at key change impacts, to explore how to manage knowledge in building design and to identify key design principles. Design/methodology/approach – This paper looks at key change impacts, explores how to manage knowledge in library building design and pinpoints design principles. Findings – This paper finds that KM can be vital to library building design, and it can be used in all stages: to examine the internal and external environments, transform tacit knowledge to explicit knowledge by using portals, and analyze existing and future issues and trends. When effectively used, KM will result in innovative design strategies and also will reduce the time and costs of the building design and plan processes. The main principles of library building design are flexibility, accessibility, safety and security, applicability, adaptability, efficiency, and sustainability. Practical implications – This paper provides a useful overview of how to manage knowledge in library building design and design principles. Originality/value – The views, discussions, and suggestions will be of value to improve the effectiveness of library building design.

Transformation paths and influencing factors of tacit knowledge into explicit knowledge in real estate companies: a qualitative study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guodong Ni ◽  
Ziyao Zhang ◽  
Zhenmin Yuan ◽  
Haitao Huang ◽  
Na Xu ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Real Estate ◽  
Tacit Knowledge ◽  
Influencing Factors ◽  
Explicit Knowledge ◽  
Design Method ◽  
Structured Interviews ◽  
Content Type ◽  
Knowledge Resources ◽  
Tacit Knowledge Management

PurposeThe purpose of this paper is to figure out the paths about transformation of tacit knowledge into explicit knowledge, i.e. tacit knowledge explicating (TKE) in real estate companies, and determine the influencing factors of TKE in Chinese real estate companies to enable enterprises make better use of their knowledge resources.Design/methodology/approachThe study adopted an exploratory design method using thematic analysis and grounded theory, and semi-structured interviews were conducted to collect data. The interviewees consisted of employees in different positions, who come from Chinese real estate companies with different ranking ranges and different knowledge management levels. Data collection was divided into two rounds for the identification of transformation paths and influencing factors.FindingsThis study has shown that 11 paths about TKE divided into solidified organization process and construction of organizational infrastructure go into effect within the real estate companies. Factors influencing TKE in real estate companies concern three main categories: organizational distal factors, contextual proximal factors and individual factors, including 21 subordinates in total. Furthermore, correlation between TKE paths and influencing factors is established.Research limitations/implicationsResearch results may lack generalizability due to the method adopted. Therefore, researchers are encouraged to verify the outcomes of this research.Practical implicationsThis research provides a new idea and solutions for the tacit knowledge management in real estate companies.Originality/valueTo the best of the authors’ knowledge, this study is the first to systematically identify paths and the influencing factors of TKE in real estate companies, contribute to the incipient but growing understanding of achievement of “tacit to explicit” and enrich the corporate tacit knowledge management literature.

Knowledge Management in Agile Methods Context

2014 ◽  
pp. 1675-1709
Author(s):  
Zaidoun Alzoabi
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Tacit Knowledge ◽  
Explicit Knowledge ◽  
Agile Methods ◽  
Face To Face ◽  
Informal Knowledge ◽  
Extensive Documentation ◽  
Development Processes ◽  
Management Techniques

Agile methods are characterized with flexibility, reliance on tacit knowledge, and face to face communication in contrast to traditional methods that rely on explicit knowledge sharing mechanism, extensive documentation, and formal means of communication. In this chapter, the authors will have a look at the knowledge management techniques used in different software development processes with focus on agile methods. Then they will test the claim of more informal knowledge sharing and see the mechanisms used to exchange and document knowledge. The test is on the basis of a survey conducted by Scott Ambler in 2009, where he surveyed over 300 agile practitioners asking them about mechanisms used and in which context every mechanism is applied.

TQM and Knowledge Management

2017 ◽  
pp. 236-263 ◽  
Author(s):  
Luis Mendes
Keyword(s):  
Knowledge Management ◽  
Quality Management ◽  
Total Quality Management ◽  
Tacit Knowledge ◽  
Explicit Knowledge ◽  
Quality Management System ◽  
Conversion Process ◽  
Total Quality ◽  
Knowledge Based ◽  
Strategic Approach

During the last decades, both quality management and Knowledge Management (KM) have undergone a progressive evolution and have been associated with keywords such as competition, creativity, or innovativeness. Moreover, literature points to several commonalities between Total Quality Management (TQM) and Knowledge Management. The main aim of this chapter is to highlight the main commonalities, and to analyze how organizations may benefit from a dual strategic approach based on TQM and KM principles, and how integrated knowledge-based quality management system may benefit the “conversion” process of tacit knowledge into explicit knowledge, as well as the knowledge transfer/sharing process.

Towards The New Episteme

2013 ◽  
pp. 45-59
Author(s):  
Zbigniew Król
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
Philosophy Of Language ◽  
Explicit Knowledge ◽  
Professional Collaboration ◽  
Science Knowledge ◽  
Types Of Knowledge ◽  
New Knowledge ◽  
Definition Of ◽  
The Given

The usual horizon of knowledge science is limited to nominalism, empiricism, and naturalistic and evolutionary epistemologies. I propose to broaden this horizon by applying some other philosophical attitudes, such as a non-nominalistic philosophy of language. A basic methodology for the new episteme, including (non-nominalistic) typology and a definition of knowledge and of tacit knowledge, is proposed. Several types of knowledge and the corresponding tacit knowledge are discussed within a broadened philosophical context. There are many types of knowledge and tacit knowledge using different methods of sharing. The main problem with the effective sharing of tacit knowledge is sharing knowledge relevant to the given problem. The transfer, change and transformation of tacit knowledge into explicit knowledge are possible. An example of such a transition, which I call conceptualization, is described. Conceptualization exemplifies how new knowledge can be created with the use of tacit knowledge. A need also exists for a professional collaboration between knowledge science, knowledge management and philosophy.

Knowledge Management and Software Development Organization

2017 ◽  
pp. 226-246 ◽  
Author(s):  
Marcello Chedid ◽  
Leonor Teixeira
Keyword(s):  
Knowledge Management ◽  
Software Development ◽  
Tacit Knowledge ◽  
Development Process ◽  
Management Process ◽  
Software Development Process ◽  
Development Organization ◽  
Main Challenge ◽  
The Difference ◽  
Knowledge Intensive

Software development organization (SDO) is a kind of knowledge-intensive business and their large majority is small and medium enterprise (SME) facing similar challenges of large ones. The diversity and complexity of the SDO environment makes knowledge the fundamental element in the software development process, which strengthens the importance of an effective knowledge management process. The software development process involves multidisciplinary teams, and the various working meetings that occur during a project are conducive to generate and share a lot of knowledge, in particular tacit knowledge. The use of a knowledge management process that enables to manage tacit knowledge will define the difference between a good SDO performance and the best SDO performance. This chapter aims to present an exploratory study based on literature review, with the aim of identifying the main challenge of knowledge management in the SDO context. The authors also aim to address some new research directions.

Where Knowledge Management Resides within Project Management

2005 ◽  
pp. 138-154 ◽  
Author(s):  
Jill Owen ◽  
Frada Burstein
Keyword(s):  
Knowledge Management ◽  
Project Management ◽  
Knowledge Transfer ◽  
Tacit Knowledge ◽  
Crucial Role ◽  
Explicit Knowledge ◽  
Formal Knowledge ◽  
Engineering Consulting ◽  
Insight Into

This chapter explores how an engineering consulting company creates, manages, and reuses knowledge within its projects. It argues that the informal transfer and reuse of knowledge plays a more crucial role than formal knowledge in providing the greatest benefit to the organization. The culture of the organization encourages a reliance on networks (both formal and informal) for the exchange of tacit knowledge, rather than utilizing explicit knowledge. This case study highlights the importance of understanding the drivers of knowledge transfer and reuse in projects. This will provide researchers with an insight into how knowledge management integrates with project management.

Social Network Structures for Explicit, Tacit and Potential Knowledge

2011 ◽  
pp. 81-90
Author(s):  
Anssi Smedlund
Keyword(s):  
Knowledge Management ◽  
Social Network ◽  
Tacit Knowledge ◽  
Network Structure ◽  
Explicit Knowledge ◽  
Network Structures ◽  
Underlying Assumption ◽  
Knowledge Assets ◽  
Social Network Structure

The purpose of this conceptual article is to develop argumentation of the knowledge assets of a firm as consisting of three constructs, to extend the conventional explicit, tacit dichotomy by including potential knowledge. The article highlights the role of knowledge, which has so far not been utilized in value creation. The underlying assumption in the article is that knowledge assets can be thought of as embedded in the relationships between individuals in the firm, rather than possessed by single actors. The concept of potential knowledge is explained with selected social network and knowledge management literature. The findings suggest that the ideal social network structure for explicit knowledge is centralized, for tacit knowledge it is distributed, and for potential knowledge decentralized. Practically, the article provides a framework for understanding the connection between knowledge assets and social network structures, thus helping managers of firms in designing suitable social network structures for different types of knowledge.

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