Measuring the Sharing Effect of Tacit Knowledge Based on Structural Holes Theory: Case Study on a Military Enterprise

2013 ◽  
pp. 903-912
Author(s):  
Li-ping Shi ◽  
Shu-lin Tang ◽  
Qiang Liu ◽  
Jing-ting Yuan
Keyword(s):  
Tacit Knowledge ◽  
Structural Holes ◽  
Knowledge Based ◽  
Military Enterprise

scholarly journals Tacit knowledge, as a source of competitiveness: case study

2021 ◽  
pp. 27-33
Author(s):  
Patricia RIVERA-ACOSTA ◽  
Rosa Elia MARTÍNEZ-TORRES ◽  
Maricela OJEDA-GUTIÉRREZ
Keyword(s):  
Tacit Knowledge ◽  
Family Business ◽  
Raw Materials ◽  
Talent Management ◽  
Formal Training ◽  
Case Study Methodology ◽  
Knowledge Based ◽  
The Family ◽  
Study Methodology

In the society of the XXI century it is generally accepted that a new intangible resource of organizations is knowledge, in addition to the other existing resources: human, capital, raw materials and equipment. This is particularly true in a knowledge-based society and economy, where knowledge has become an invaluable medium for all organizations, particularly businesses. The objective of this paper is to make a diagnosis to describe how to apply knowledge management in the family business Campechanas la Escondida de la Trinidad. This project is based on a case study methodology, with a descriptive type of research; the collection of information uses as instruments with a qualitative approach, observation and interviewing. The results obtained show a dependence on the tacit knowledge possessed by bakers who apply in the artisanal process, in addition to family members, lack human talent management, formal training and innovation, which has limited their competitiveness.

Improving Dynamic Knowledge Movements with a Knowledge-Based Framework during Conceptual Design of a Green Building Project

2013 ◽  
Vol 9 (2) ◽  
pp. 62-79 ◽  
Author(s):  
Zohreh Pourzolfaghar ◽  
Rahinah Ibrahim ◽  
Rusli Abdullah ◽  
Nor Mariah Adam ◽  
Abang Abdullah Abang Ali
Keyword(s):  
Tacit Knowledge ◽  
Conceptual Design ◽  
Case Study Research ◽  
Green Building ◽  
Design Stage ◽  
Incomplete Knowledge ◽  
Knowledge Based ◽  
Grid Technique ◽  
Building Project

Many researchers believe that tacitness of knowledge contributes to incomplete knowledge flow. In this article, the authors focus on obtaining the required mechanical and electrical tacit knowledge for architectural conceptual design purpose by observing activities of a design team involved in a green building project. The authors used the case study research methodology to demonstrate how the authors could utilize Macmillan's conceptual design framework and integrate it with the structure of repertory grid technique to obtain a framework of knowledge-based conceptual design for a green building project. The contribution of this study is developing a technique for capturing tacit knowledge during the conceptual design process that leads to an improvement in knowledge movements during the architectural conceptual design stage.

Research on Knowledge-Based and Featured Mechanical Part Modeling

2013 ◽  
Vol 365-366 ◽  
pp. 129-132
Author(s):  
Wen Bo Zhu ◽  
Xin Ren Wu ◽  
Yi Gan ◽  
Long Chen
Keyword(s):  
Tacit Knowledge ◽  
Process Planning ◽  
Explicit Knowledge ◽  
Rule Based ◽  
Mechanical Parts ◽  
Mechanical Part ◽  
Knowledge Based ◽  
Material Feature ◽  
Part Modeling

Knowledge-based Engineering (KBE) should be introduced into the field of mechanical part modeling. The knowledge-based and featured mechanical part modeling is proposed based on the two layers of knowledge base. Features and process planning rules for mechanical parts are integrated and explicit knowledge and tacit knowledge are involved in this model. Explicit knowledge includes basic information, shape feature, precision feature, material feature and assemble feature, and tacit knowledge includes process rule-based reasoning and process feasibility analysis. The model proposed will help to the following process planning and play a very important role to improve the success rate of design mechanical parts. Finally a case study is conducted.

Cyberphysical Design Automation Framework for Knowledge-based Engineering

2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik
Keyword(s):  
System Design ◽  
Design Process ◽  
Design Automation ◽  
Design Theory ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Cyberphysical System ◽  
Automation Framework

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.

scholarly journals STANDARDISING MAINTENANCE JOBS TO IMPROVE GROUPING DECISION MAKING

2021 ◽  
Vol 1 ◽  
pp. 2701-2710
Author(s):  
Julie Krogh Agergaard ◽  
Kristoffer Vandrup Sigsgaard ◽  
Niels Henrik Mortensen ◽  
Jingrui Ge ◽  
Kasper Barslund Hansen ◽  
...  
Keyword(s):  
Decision Making ◽  
Tacit Knowledge ◽  
True Variance ◽  
Complex Decision ◽  
Maintenance Decision ◽  
Maintenance Activities

AbstractMaintenance decision making is an important part of managing the costs, effectiveness and risk of maintenance. One way to improve maintenance efficiency without affecting the risk picture is to group maintenance jobs. Literature includes many examples of algorithms for the grouping of maintenance activities. However, the data is not always available, and with increasing plant complexity comes increasingly complex decision requirements, making it difficult to leave the decision making up to algorithms.This paper suggests a framework for the standardisation of maintenance data as an aid for maintenance experts to make decisions on maintenance grouping. The standardisation improves the basis for decisions, giving an overview of true variance within the available data. The goal of the framework is to make it simpler to apply tacit knowledge and make right decisions.Applying the framework in a case study showed that groups can be identified and reconfigured and potential savings easily estimated when maintenance jobs are standardised. The case study enabled an estimated 7%-9% saved on the number of hours spent on the investigated jobs.

scholarly journals Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles’ drivers and energy prosumers

2021 ◽  
Author(s):  
Beniamino Di Martino ◽  
Dario Branco ◽  
Luigi Colucci Cante ◽  
Salvatore Venticinque ◽  
Reinhard Scholten ◽  
...  
Keyword(s):  
Business Model ◽  
Model Evaluation ◽  
Business Models ◽  
Real Case ◽  
Sustainable Mobility ◽  
Semantic Framework ◽  
Knowledge Based ◽  
Survey Results ◽  
Energy Prosumers

AbstractThis paper proposes a semantic framework for Business Model evaluation and its application to a real case study in the context of smart energy and sustainable mobility. It presents an ontology based representation of an original business model and examples of inferential rules for knowledge extraction and automatic population of the ontology. The real case study belongs to the GreenCharge European Project, that in these last years is proposing some original business models to promote sustainable e-mobility plans. An original OWL Ontology contains all relevant Business Model concepts referring to GreenCharge’s domain, including a semantic description of TestCards, survey results and inferential rules.

Knowledge transfer roles of subsidiaries in MNCs’ networks

2019 ◽  
Vol 29 (4) ◽  
pp. 329-346 ◽  
Author(s):  
Cigdem Baskici
Keyword(s):  
Knowledge Transfer ◽  
Single Case ◽  
Research Question ◽  
Hierarchical Structures ◽  
Knowledge Flows ◽  
Consumer Electronics ◽  
Knowledge Network ◽  
Content Type ◽  
Knowledge Based

Purpose Although there have been a considerable number of studies regarding subsidiary role typology in multinationals’ management literature, there appear to be few studies that consider knowledge-based role typology from the network-based perspective. The purpose of this study is to fill this gap and extend the study of Gupta and Govindarajan (1991). Thus, the study focuses on answering the following research question: Do subsidiaries have different roles in terms of knowledge flows within a multinational company (MNC)? Design/methodology/approach This empirical study has been carried out as an explorative single case study. An MNC with 15 foreign subsidiaries headquartered in Turkey, which operated in the manufacturing of household appliances and consumer electronics, has been selected as the case. Knowledge transfer is analyzed in this MNC from the network perspective. Findings Four role typologies are detected for subsidiaries of the MNC: collector transmitter, collector diffuser, converter transmitter and converter diffuser. Research limitations/implications Findings of this study are specific to this case. Testing the findings in a sample consisting of subsidiaries of MNCs producing transnational products may contribute to the generalizability of these roles. Practical implications This study offers potentially important findings for MNC managers to use. First, in this study, knowledge flows' route could be defined within MNCs’ dual network. Second, role typologies could inform MNC managers to design their MNCs’ knowledge network. Originality/value The suggested typologies are expected to more accurately define the roles of subsidiaries within contemporary MNCs which are accepted to be transformed from hierarchical structures to network-based organizations.

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