Implementing a Novel Framework to Create Tacit Knowledge Models to Support Human-Robot Interactions

Acquiring and Applying Contextualised Tacit Knowledge

Journal of Information & Knowledge Management ◽

10.1142/s0219649203000073 ◽

2003 ◽

Vol 02 (02) ◽

pp. 179-190 ◽

Cited By ~ 6

Author(s):

Debbie Richards ◽

Peter Busch

Keyword(s):

Knowledge Acquisition ◽

Tacit Knowledge ◽

Knowledge Society ◽

First Century ◽

Formal Concept ◽

Codified Knowledge ◽

Knowledge Models ◽

Organisational Knowledge ◽

Representation Technique ◽

Acquisition Technique

The acquisition and application of knowledge, in particular tacit knowledge (TK), are seen as decisive competitive factors in the knowledge society of the twenty-first century. Despite much talk about the importance of knowledge transfer, little research shows how to identify and measure TK, less research addresses how to transfer TK between individuals and even fewer of these approaches offer any technology that can assist with transfer. This paper does not address the issues of identification and measurement of TK. The purpose of this paper is two-fold: describe a knowledge acquisition and representation technique, known as Ripple Down Rules (RDR), which can be used to capture knowledge, explicit and tacit, in context from those already identified as experts and to describe a set-theoretical technique, known as formal concept analysis (FCA) to assist transfer of the RDR knowledge to another human. Unlike most knowledge acquisition approaches, the RDR knowledge acquisition technique does not rely on the expert to specify what they know. Instead, knowledge becomes codified by the RDR system while the domain expert exercises his or her expertise. The approach does not capture all organisational knowledge, but the knowledge that is captured will be a mixture of different types of knowledge, including formal and codified knowledge that can be learnt from a book and practice-based knowledge that is passed on while on the job. The knowledge captured using RDR may be transferred to another individual through the use of FCA to retrospectively and automatically develop knowledge models that the user can explore. This work offers a possible solution to three knowledge management challenges: capture, utilisation and preservation of knowledge within an organisation.

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Implementing a Novel Framework to Create Tacit Knowledge Models to Support Human-Robot Interactions

Volume 2B: Advanced Manufacturing ◽

10.1115/imece2020-23803 ◽

2020 ◽

Author(s):

David A. Guerra-Zubiaga ◽

Navid Nasajpour-Esfahani ◽

Basma Siddiqui ◽

Kevin Kamperman

Keyword(s):

Tacit Knowledge ◽

Industrial Applications ◽

Human Robot Interaction ◽

Surgical Robots ◽

Robot Interaction ◽

Manufacturing Automation ◽

Knowledge Framework ◽

Manufacturing Operations ◽

Knowledge Models ◽

Process Implementation

Abstract While it is not only important to synthesize instruments, controls, and robotics, it is also essential to connect these elements to people to achieve the future of automation. Whether in an operating room with surgical robots or in an earthquake disaster zone where an operator is aided by search and rescue drones, interaction between machines and humans is becoming central to increasing productivity. Industry 4.0 trends such as Internet of Things (IoT) and digital manufacturing are the early adopters of human-machine interfaces that support manufacturing automation. Such models must consider various aspects of process implementation such as explicit, implicit, and tacit knowledge to properly mimic a human’s performance. However, most inquiries in this field use expressed information instead of tacit knowledge due to an unfulfilled need for an industrial tacit knowledge framework. Tacit knowledge is difficult to learn and transfer if an operator’s logic is never revealed. In response, this research provides a knowledge model to structure, categorize, and reuse tacit knowledge for advanced manufacturing operations. The model is implemented in a human-robot interaction by capturing valuable experiences using digital tools such as Tecnomatix for further reuse in a variety of industrial applications.

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Managerial Tacit Knowledge

PsycEXTRA Dataset ◽

10.1037/e530692012-013 ◽

1991 ◽

Author(s):

Richard K. Wagner

Keyword(s):

Tacit Knowledge

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Competenza ad agire insieme e senso di iniziativa: il tirocinio per attraversare i confini tra studio e lavoro

EDUCATION SCIENCES AND SOCIETY ◽

10.3280/ess2-2019oa8622 ◽

2020 ◽

pp. 93-102

Author(s):

Fabrizio d'Aniello

Keyword(s):

Professional Growth ◽

Capability Approach ◽

Boundary Crossing ◽

Methodological Framework ◽

Knowledge Models ◽

Internship Experience ◽

Cultural Historical Activity ◽

The University ◽

And Training ◽

The Capability Approach

The pre-eminent motivation behind this contribution lies in the intention to offer students of three-year degree course in education and training sciences and master's degree in pedagogical sciences of the University of Macerata a further support than those already existing, aimed at expanding the educational meaningfulness of the internship experience. The main criticality of such experience is connected with the difficulty in translating knowledge, models, ideas into appropriate activities. This notably refers to the conceptual and educational core of the sense of initiative and entrepreneurship and, consistently, to the skill to act. Therefore, after a deepening of the sense of initiative and entrepreneurship, followed by related pedagogical reflections based on the capability approach, the paper presents an operative proposal aimed at increasing young people's possibilities of action and supporting their personal and professional growth. With regard to this training proposal, the theoretical and methodological framework refers to the third generation cultural historical activity theory and to the tool of the boundary crossing laboratory, variant of the change laboratory

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Tacit Knowledge Management at the Kenya Institute for Public Policy Research and Analysis

Mousaion ◽

10.25159/0027-2639/3776 ◽

2019 ◽

Vol 36 (1) ◽

Author(s):

Omwoyo Bosire Onyancha ◽

Gladys Njeri Mungai ◽

Henry Nyabuto Kemoni

Keyword(s):

Public Policy ◽

Knowledge Sharing ◽

Tacit Knowledge ◽

Policy Research ◽

Primary Data ◽

Intangible Asset ◽

Research Approach ◽

Public Policy Research ◽

Observation Methods ◽

Tacit Knowledge Sharing

Tacit knowledge is seen as difficult to be shared in an organisation owing to its intuitive, versatile and practice-based nature. Consequently, tacit knowledge is not well-understood or valued in most organisations and more so in public institutions. The purpose of the study was to investigate how the Kenya Institute for Public Policy Research and Analysis (KIPPRA) manages tacit knowledge as an intangible asset and also to recommend a framework or model for the management of tacit knowledge for a competitive advantage and development at the KIPPRA. The study adopted a qualitative research approach, with interviews and observation methods constituting the primary data collection methods. The study targeted 60 employees of KIPPRA consisting of researchers, young professionals, heads of divisions, a knowledge manager and administrative staff. The qualitative data collected were organised, categorised and reported verbatim. Among the key findings were that KIPPRA has the capacity for tacit knowledge sharing, capture, transfer and storage that have not been capitalised on. Further, employees experience challenges such as the identification and understanding of tacit knowledge, access to tacit knowledge sharing platforms, access to expertise with specific tacit knowledge, tacit knowledge hoarding, individualism, and ICT-related challenges in accessing tacit knowledge. Finally, the study recommends the adoption of a proposed framework for managing tacit knowledge at the KIPPRA.

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