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

Cultivating Communities of Practice: A Guide to Managing Knowledge

The rapid development of Internet of things (IoT) technology makes it possible for connecting various smart objects together through the Internet and providing more data interoperability methods for application purpose. Recent research shows more potential applications of IoT in information intensive industrial sectors such as healthcare services. However, the diversity of the objects in IoT causes the heterogeneity problem of the data format in IoT platform. Meanwhile, the use of IoT technology in applications has spurred the increase of real-time data, which makes the information storage and accessing more difficult and challenging. In this research, first a semantic data model is proposed to store and interpret IoT data. Then a resource-based data accessing method (UDA-IoT) is designed to acquire and process IoT data ubiquitously to improve the accessibility to IoT data resources. Finally, we present an IoT-based system for emergency medical services to demonstrate how to collect, integrate, and interoperate IoT data flexibly in order to provide support to emergency medical services. The result shows that the resource-based IoT data accessing method is effective in a distributed heterogeneous data environment for supporting data accessing timely and ubiquitously in a cloud and mobile computing platform.

Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services

Welcome to the CHI 2007 proceedings. We believe the technical papers and notes herein present some of the best current work in the diverse and dynamic field of human-computer interaction (HCI).

CHI is the leading HCI conference. Creating the technical program requires a huge investment of time and effort from members of the research community. 840 submissions were processed (571 papers, 269 notes), requiring over 3000 reviews. We thank all the reviewers for the dedication with which they undertook this task. We are particularly indebted to the papers and notes program committee members, also known as the Associate Chairs (ACs). Balancing areas of expertise, ACs were selected from the field's leading researchers. The AC role included recruiting all reviewers, moderating and supervising the review process to ensure a high-quality set of reviews was obtained, initiating and organizing author rebuttal and reviewer discussions and approving final submissions. The estimated time expenditure to serve as an AC was 11 days of full-time work; many committee members spent more time than that. Papers ACs came to San Jose in December 2006 from around the world for two intense days of review, debates, and deliberation; Notes ACs who could not attend the parallel notes meeting in San Jose engaged in a virtual conference. The committee was extremely serious and careful in making CHI paper and note decisions, with many submissions receiving multiple discussions, before and during the program committee meetings. No review process can guarantee perfect decisions, but we are confident that every possible effort was made to ensure fair process and high quality decision-making. This year's program committee certainly has our respect and gratitude, and deserves the sincere appreciation of the entire HCI community. We would also like to thank the ACs and their organizations for underwriting the travel expenses for meeting.

CHI is both a journal-quality archival forum and a community-building conference. To encourage quality in the written presentation of accepted work, all of the 142 full paper and 40 note acceptances were provisional. As a result, authors actively responded and incorporated feedback from the reviews into the final versions of the papers that appear here.

Twenty-eight accepted papers and four accepted notes (5% of submissions) deemed to make an especially noteworthy contribution to human-computer interaction research were nominated by the program committee for Best Paper and Best Note Awards; these nominated papers and notes are identified in the Final Program. At the conference, up to six of these will be announced as winners of a CHI Best Paper Award (1% of submissions), and one note will be selected as an exemplary note. While all papers accepted into the CHI technical papers program have passed a rigorous examination of their quality, the Best Paper and Best Notes Awards signal and reward particularly outstanding contributions in each year.

CHI '07 Extended Abstracts on Human Factors in Computing Systems

Business intelligence (BI) is the process of gathering correct information in the correct format at the correct time; and delivering the results for decision-making purposes, or have a positive impact on business operations, tactics, and strategy in the enterprises. This paper is intended as a brief review of BI in an enterprise computing environment, with an emphasis on the algorithms and methods. The review points out the challenges to the broad and deep deployment of business intelligence systems, and provide proposals to make business intelligence more effective.

Business intelligence in enterprise computing environment

The wiki technology is increasingly being used in corporate environments to facilitate a broad range of tasks. This survey examines the use of wikis on a variety of organisational tasks that include the codification of explicit and tacit organisational knowledge and the formulation of corporate communities of practice, as well as more specific processes such as the collaborative information systems development, the interactions of the enterprise with third parties, management activities and organisational response in crisis situations. For each one of the aforementioned corporate functions, the study examines the findings of related research literature to highlight the advantages and concerns raised by the wiki usage and to identify specific solutions addressing them. Finally, based on the above findings, the study discusses various aspects of the wiki usage in the enterprise and identifies trends and future research directions on the field.

Wikis in enterprise settings: a survey

Corporate wikis are increasingly being adopted by enterprises as a solution to various organizational processes Subsequently a significant number of research works have started focusing on providing results on both successful and unsuccessful corporate wiki implementations Nevertheless, the scope of these studies is usually limited on a specific organizational case or focuses on a limited set of aspects of the wiki adoption, eg either the technological or the cultural one Our objective in this work is to provide an overview of the key factors affecting the successful implementation of an organizational wiki, by analyzing thirty case studies reported in the research literature The result of this analysis is the identification of a core set of common best practices to be taken into account by stakeholders when planning the integration of a wiki within a corporate context In this way, the study aims at contributing to the planning and the realization of more successful corporate wiki implementations with enterprise environments

Foteini Dagka

Papers

Wikis in enterprise settings: a survey

Planning for a Successful Corporate Wiki