How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

https://publikationen.bibliothek.kit.edu/1000039918/3024499

Building Information Modeling (BIM) for existing buildings — Literature review and future needs

Quality function deployment: A literature review

Understanding the implications of digitisation and automation in the context of Industry 4.0

Numerous companies are expecting their knowledge management (KM) to be performed effectively in order to leverage and transform the knowledge into competitive advantages. However, here raises a critical issue of how companies can better evaluate and select a favorable KM strategy prior to a successful KM implementation. The KM strategy selection is a kind of multiple criteria decision-making (MCDM) problem, which requires considering a large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. The analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. Moreover, the Decision Making Trial and Evaluation Laboratory (DEMATEL) not only can convert the relations between cause and effect of criteria into a visual structural model, but also can be used as a way to handle the inner dependences within a set of criteria. Hence, this paper proposes an effective solution based on a combined ANP and DEMATEL approach to help companies that need to evaluate and select KM strategies. Additionally, an empirical study is presented to illustrate the application of the proposed method.

https://isiarticles.com/bundles/Article/pre/pdf/6085.pdf

Choosing knowledge management strategies by using a combined ANP and DEMATEL approach

Knowledge management (KM) is now recognized as a core business concern and intellectual assets play a vital role in gaining competitive advantage. Within the architecture, engineering and construction (AEC) industry, where the need for innovation and improved business performance requires the effective deployment and utilization of project knowledge, the need for strategic knowledge management is also being acknowledged. This paper reviews various initiatives for KM in order to assess the extent to which it is being implemented in the AEC sector. Contextual issues are identi. ed, and the findings from two research projects are used to assess current strategies for KM in AEC firms. These studies show that effective knowledge management requires a combination of both mechanistic and organic approaches in an integrated approach that incorporates both technological and organizational/cultural issues. The paper concludes with recommendations on how this could be achieved in practice.

Knowledge management in the architecture, engineering and construction industry

A CLEVER approach to selecting a knowledge management strategy

Introduction Briefing and client requirements processing Tools and methodologies for client requirements processing Methodology for client requirements processing Capturing client requirements with the client requirements processing model ClientPro: software versuion of the client requirements processing model Summary and conclusions

Capturing client requirements in construction projects

https://www.tpbin.com/Uploads/Subjects/3e28a9e3-0e67-431e-8daf-f4a0927a7fd8.pdf

A framework for using mobile computing for information management on construction sites

The realization that concurrent engineering can be adopted in construction has led to various efforts to develop appropriate tools and techniques for its implementation in the industry. This paper discusses the role of client requirements processing in implementing concurrent engineering in construction. Client requirements processing refers to the definition, analysis, and translation of client requirements into solution‐neutral specifications for design. It is essential in maintaining focus on the client, and provides for the effective consideration, resolution and prioritization of the various perspectives within the client body. It also facilitates collaborative teamwork, compliance checking at every stage of the design and construction process, and the traceability of design decisions to explicit and implicit client requirements. The paper concludes with a description of a model for processing clients' requirements in construction, and an example of its practical application.

John M. Kamara

Papers

Knowledge management in the architecture, engineering and construction industry

A CLEVER approach to selecting a knowledge management strategy

Capturing client requirements in construction projects

A framework for using mobile computing for information management on construction sites

Establishing and processing client requirements—a key aspect of concurrent engineering in construction