Lorna Uden

7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing

The seventh International Conference on Knowledge Management in Organizations (KMO) brings together researchers and developers from industry and the academic world to report on the latest scientific and technical advances on knowledge management in organisations. KMO 2012 provides an international forum for authors to present and discuss research focused on the role of knowledge management for innovative services in industries, to shed light on recent advances in cloud computing for KM as well as to identify future directions for researching the role of knowledge management in service innovation and how cloud computing can be used to address many of the issues currently facing KM in academia and industrial sectors. The conference took place at Salamanca in Spain on the 11th-13th July in 2012.

The 2nd International Workshop on Learning Technology for Education in Cloud

Proceedings from the 2013 LTEC conference in Kaohsiung, Taiwan. The papers examine diverse aspects of Learning Technology for Education in Cloud environments, including social, technical and infrastructure implications. Also addressed is the question of how cloud computing can be used to design applications to support real time on demand learning using technologies. The workshop proceedings provide opportunities for delegates to discuss the latest research in TEL (Technology Enhanced Learning) and its impacts for learners and institutions, using cloud technologies.

Learning Technology for Education in Cloud. MOOC and Big Data

This book constitutes the refereed proceedings of the Third International Workshop on Learning Technology for Education in Cloud, LTEC 2014, held in Santiago, Chile, in September 2014. The 20 revised full papers presented were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on MOOC for learning; learning technologies; learning in higher education; case study in learning.

The 8th International Conference on Knowledge Management in Organizations

The concept of servitization ‘adding value by adding services to products’ was first introduced by Vandermerwe and Rada in 1988, which in later became a popular topic for researchers in the academia, business and government. Today, it is widely recognized as an increasingly relevant business strategy for manufacturing firms to improve their competitive advantage in the market. In many cases, the necessity or application of servitization concept explained by researchers from organization perspective, especially for developed economy, but they were less attentive to discuss the issue from customer viewpoint in developing economy. Therefore, this paper aims to examine the needs of servitization from customer perspectives, particularly the IT industry of emerging market ‘Bangladesh’. The data was collected by the interviews of suppliers and customers in the IT industry of Bangladesh. The survey results showed that the current suppliers cannot satisfy the customer needs at this moment, because customers are not happy anymore with the IT goods only; they also require solutions, knowledge and reliability as well. Z. Ahamed (&) T. Inohara Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, 152-8552 Tokyo, Japan e-mail: Zahir@valdes.titech.ac.jp T. Inohara e-mail: inohara@valdes.titech.ac.jp A. Kamoshida Kyoto University, Yoshida Hon Machi, Sakyo-ku, 606-8501 Kyoto, Japan e-mail: kamoshida@gsm.kyoto-u.ac.jp L. Uden et al. (eds.), The 8th International Conference on Knowledge Management in Organizations, Springer Proceedings in Complexity, DOI: 10.1007/978-94-007-7287-8_1, Springer Science+Business Media Dordrecht 2014 3

The 3rd International Workshop on Intelligent Data Analysis and Management

These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.

Learning Technology for Education Challenges

The paper shows the design, implementation and testing of a system to measure voltage, current and energy in order to transmit them via web, Using the embedded Arduino® systems on which the different protocols learned during the electrical engineering study program are implemented, in order to evaluate the competences acquired by the students in the fields of instrumentation, commu‐ nications, programming and web application development. The students who participate are in the last semesters of the Universidad Francisco José de Caldas in Bogotá, Colombia.

Learning Technology for Education in Cloud – The Changing Face of Education

This book constitutes the refereed proceedings of the 5th International Workshop on Learning Technology for Education in Cloud, LTEC 2016, held in Hagen, Germany, in July 2016. The 25 revised full papers presented were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on learning technologies; learning tools and environment; MOOC for learning; problem solving and knowledge transfer; case study.

Knowledge Management in Organizations

Departure Management is responsible for creating a departure sequence of flights and for deciding which aircraft will takeoff firstly in scenarios of cancellation or delay. In many cases, this activity depends only on the experience of air traffic controllers who will empirically decide the departure sequence. This work presents two computational models to address the departure sequencing problem in airports according to Collaborative Decision Making. The first model is GeDMAN, a departure management system that uses Genetic Algorithm. The second one named as CoDMAN is based on the negotiation among the agents (aircraft) in a dynamic scenario using Game Theory. Both approaches are tested with real flight data from Brasilia International Airport. The simulation results show that the developed systems have the capability to manage the departure sequence automatically and reduce the total flight