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

How have Japanese companies become world leaders in the automotive and electronics industries, among others? What is the secret of their success? Two leading Japanese business experts, Ikujiro Nonaka and Hirotaka Takeuchi, are the first to tie the success of Japanese companies to their ability to create new knowledge and use it to produce successful products and technologies. In The Knowledge-Creating Company, Nonaka and Takeuchi provide an inside look at how Japanese companies go about creating this new knowledge organizationally. The authors point out that there are two types of knowledge: explicit knowledge, contained in manuals and procedures, and tacit knowledge, learned only by experience, and communicated only indirectly, through metaphor and analogy. U.S. managers focus on explicit knowledge. The Japanese, on the other hand, focus on tacit knowledge. And this, the authors argue, is the key to their success--the Japanese have learned how to transform tacit into explicit knowledge. To explain how this is done--and illuminate Japanese business practices as they do so--the authors range from Greek philosophy to Zen Buddhism, from classical economists to modern management gurus, illustrating the theory of organizational knowledge creation with case studies drawn from such firms as Honda, Canon, Matsushita, NEC, Nissan, 3M, GE, and even the U.S. Marines. For instance, using Matsushita's development of the Home Bakery (the world's first fully automated bread-baking machine for home use), they show how tacit knowledge can be converted to explicit knowledge: when the designers couldn't perfect the dough kneading mechanism, a software programmer apprenticed herself withthe master baker at Osaka International Hotel, gained a tacit understanding of kneading, and then conveyed this information to the engineers. In addition, the authors show that, to create knowledge, the best management style is neither top-down nor bottom-up, but rather what they call "middle-up-down," in which the middle managers form a bridge between the ideals of top management and the chaotic realities of the frontline. As we make the turn into the 21st century, a new society is emerging. Peter Drucker calls it the "knowledge society," one that is drastically different from the "industrial society," and one in which acquiring and applying knowledge will become key competitive factors. Nonaka and Takeuchi go a step further, arguing that creating knowledge will become the key to sustaining a competitive advantage in the future. Because the competitive environment and customer preferences changes constantly, knowledge perishes quickly. With The Knowledge-Creating Company, managers have at their fingertips years of insight from Japanese firms that reveal how to create knowledge continuously, and how to exploit it to make successful new products, services, and systems.

The knowledge-creating company

An Introduction to MultiAgent Systems.

Theory in Practice: Increasing Professional Effectiveness

Knowledge Management

The computing power in a cloud computing environments is supplied by a collection of data centers, or cloud data storages (CDSs) housed in many different locations and interconnected by high speed networks. CDS, like any other emerging technology, is experiencing growing pains. Data integrity checking of data and data structures has grown in importance recently in cloud computing due to the expansion of online cloud services, which have become reliable and scalable. In this paper we propose an integrity layered architecture of a typical cloud based on MAS architecture consists of two main layers cloud resources layer (cloud server-side) and MAS architecture layer (cloud client-side). At the cloud resources layer there exist massive physical cloud resources (storage servers and cloud application servers) that power the CDS. MAS's architecture layers consist of two agents: Cloud Service Provider Agent (CSPA) and Cloud Data Integrity Backup Agent (CDIBA). This layered architecture named as “CloudZone”. A prototype of our proposed “CloudZone” will be designed using Prometheus Methodology and implemented using the Java Agent Development Framework Security (JADE-S).

/pdf/cloudzone-towards-an-integrity-layer-of-cloud-data-storage-16f44qhdif.pdf

CloudZone: Towards an integrity layer of cloud data storage based on multi agent system architecture

The purpose of this literature review is to provide the information about illustrating the usage of Multi-Agent
System (MAS) techniques that can be beneficial in cloud computing platform to facilitate security of cloud data
storage (CDS) among it. MAS are often distributed and agents have proactive and reactive features which are very useful for cloud data storage security (CDSS). The architecture of the system is formed from a set of agent’s communities. This paper of literature review described on the theoretical concept and approach of a security framework as well as a MAS architecture that could be implemented in cloud platform in order to facilitate security of CDS, on how the MAS technology could be utilized in a cloud platform for serving the security that is developed by using a collaborative environment of Java Agent DEvelopment (JADE). In order to facilitate the huge amount of security, our MAS architecture offered eleven security attributes generated from four main security policies of correctness, integrity, confidentially and availability of users’ data in the cloud. This paper of literature review also describes an approach that allows us to build a security cloud platform using MAS architecture and this architecture tends to use specialized autonomous agents for specific security services and allows agents to interact to facilitate security of CDS.

Security framework of cloud data storage based on multi agent.

Knowledge as a service (KaaS) is an emerging concept that integrates knowledge management (KM), a knowledge organization, and knowledge markets KaaS are programs that provide content-based (data, information, knowledge) as organizational outputs (eg, advice, answers, facilitation), to meet person or external user wants or needs KaaS are delivered through the knowledge markets as a cloud computing (CC) environment In ensuring the services will be delivered to the right community of practice (CoP) at the right time in a proper manner, therefore there is a need of a system called knowledge management system (KMS), so that the KaaS can be well managed in a proper form by using the KM life cycle processes These life cycle processes are including the knowledge acquisition, knowledge storage, knowledge dissemination and knowledge application This paper presents the concept and its model for facilitating knowledge as a service (KaaS) in a KM system so that CoP can make used the knowledge from service provider as organizational output for their referencing in the context of current best practice and lesson learnt especially related to the CC environment By using this KMS model, the community who are engaged or connected to the cloud can be easily getting the KaaS as they are wanted or to be considered for the potential purposes in achieving their goal or mission statement

/pdf/a-model-of-knowledge-management-system-for-facilitating-3c0sz1s8ll.pdf

A model of knowledge management system for facilitating knowledge as a service (KaaS) in cloud computing environment

The purpose of this literature review is to provide the information about illustrating the usage of Multi-Agent System (MAS) techniques that can be beneficial in cloud computing platform to facilitate security of cloud data storage (CDS) among it. MAS are often distributed and agents have proactive and reactive features which are very useful for cloud data storage security (CDSS). The architecture of the system is formed from a set of agent’s communities. This paper of literature review described on the theoretical concept and approach of a security framework as well as a MAS architecture that could be implemented in cloud platform in order to facilitate security of CDS, on how the MAS technology could be utilized in a cloud platform for serving the security that is developed by using a collaborative environment of Java Agent DEvelopment (JADE). In order to facilitate the huge amount of security, our MAS architecture offered eleven security attributes generated from four main security policies of correctness, integrity, confidentially and availability of users’ data in the cloud. This paper of literature review also describes an approach that allows us to build a security cloud platform using MAS architecture and this architecture tends to use specialized autonomous agents for specific security services and allows agents to interact to facilitate security of CDS.

/pdf/security-framework-of-cloud-data-storage-based-on-multi-1qgm0y7z8v.pdf

Security Framework of Cloud Data Storage Based on Multi Agent System Architecture: Semantic Literature Review

The tremendous growth of the cloud computing environments requires new architecture for security services. Cloud computing is the utilization of many servers/data centers or cloud data storages (CDSs) housed in many different locations and interconnected by high speed networks. CDS, like any other emerging technology, is experiencing growing pains. It is immature, it is fragmented and it lacks standardization. Although security issues are delaying its fast adoption, cloud computing is an unstoppable force and we need to provide security mechanisms to ensure its secure adoption. In this paper a comprehensive security framework based on Multi-Agent System (MAS) architecture for CDS to facilitate confidentiality, correctness assurance, availability and integrity of users' data in the cloud is proposed. Our security framework consists of two main layers as agent layer and CDS layer. Our propose MAS architecture includes main five types of agents: Cloud Service Provider Agent (CSPA), Cloud Data Confidentiality Agent (CDConA), Cloud Data Correctness Agent (CDCorA), Cloud Data Availability Agent (CDAA) and Cloud Data Integrity Agent (CDIA). In order to verify our proposed security framework based on MAS architecture, pilot study is conducted using a questionnaire survey. Rasch Methodology is used to analyze the pilot data. Item reliability is found to be poor and a few respondents and items are identified as misfits with distorted measurements. As a result, some problematic questions are revised and some predictably easy questions are excluded from the questionnaire. A prototype of the system is implemented using Java. To simulate the agents, oracle database packages and triggers are used to implement agent functions and oracle jobs are utilized to create agents.

/pdf/towards-a-comprehensive-security-framework-of-cloud-data-1nwotwwpsk.pdf

Amir Mohamed Talib

Papers

CloudZone: Towards an integrity layer of cloud data storage based on multi agent system architecture

Security framework of cloud data storage based on multi agent.

A model of knowledge management system for facilitating knowledge as a service (KaaS) in cloud computing environment

Security Framework of Cloud Data Storage Based on Multi Agent System Architecture: Semantic Literature Review

Towards a Comprehensive Security Framework of Cloud Data Storage Based on Multi Agent System Architecture