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

What Video Games Have to Teach Us about Learning and Literacy

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Flow The Psychology Of Optimal Experience

Quasi-experimentation - design and analysis issues for field settings - cook,td, campbell,dt

A Study of Teams: How It All Began The Apollo Syndrome Teams Containing Similar Personalities Identifying further Team Roles Team Leadership The Missing Team Roles Developing an inventory Unsuccessful teams Winning teams Ideal team size Features of good members of a team Teams in Public Affairs How Belbin reports developed Case Studies in Using Belbin

Management teams: Why they succeed or fail

The authors present the methodological background to and underlying research design of an ongoing research project on the scientific evaluation of serious games and/or computer-based simulation games (SGs) for advanced learning. The main research questions are: (1) what are the requirements and design principles for a comprehensive social scientific methodology for the evaluation of SGs?; (2) to what extent do SGs contribute to advanced learning?; (3) what factors contribute to or determine this learning?; and (4) to what extent and under what conditions can SG-based learning be transferred to the real world? In the Netherlands between 2005 and 2012, several hundred SG sessions with 12 SGs were evaluated systematically, uniformly and quantitatively to create a dataset, which comprises data on 2488 respondents in higher education or work organizations. The authors present the research model, the quasi-experimental design and the evaluation instruments. This focus in this paper is on the methodology and dataset, which form a sound foundation for forthcoming publications on the empirical results.

/pdf/the-research-and-evaluation-of-serious-games-toward-a-5owqtvhtil.pdf

The research and evaluation of serious games: Toward a comprehensive methodology

There is a growing interest in the use of simulations and games in Dutch higher education. This development is based on the perception that students belong to the 'gamer generation' or 'net generation': a generation that has grown up with computer games and other technology affecting their preferred learning styles, social interaction patterns and technology use generally. It is often argued that in education this generation prefers active, collaborative and technology-rich learning, i.e. learning methods that involve extensive computer use and collaboration among students. Gaming is then proposed as a new teaching method which addresses these requirements. This article presents the results of a survey which studied whether this discourse is also applicable to higher education students from the Netherlands and whether games, considered as active, collaborative and technology-rich learning experiences, are of greater importance in the formal education of today's students. Of 1432 respondents from eight Dutch institutes of higher education surveyed between 2005 and 2009, about 25% fit our criteria of being a clear representative of the net generation. Furthermore, our analysis shows that there is little difference, and no statistically significant difference, in active, collaborative and technology-rich learning preferences between the representatives and non-representatives of the net generation. Furthermore, no large or statistically significant differences were found between representatives and non-representatives of the net generation with respect to the value they accorded to gaming in education. Overall our dataset did not fit the expectations raised by the net generation theory, with the percentage of students who fit the criteria being much lower than expected. However, regardless of whether they represented the net generation or not, in general our respondents preferred collaborative and technology-rich learning and deemed games a valuable teaching method.

Reviewing the need for gaming in education to accommodate the net generation

/pdf/experiencing-complexity-a-gaming-approach-for-understanding-39z1nvx7rw.pdf

Experiencing Complexity: A gaming approach for understanding infrastructure systems

Background. The use of simulation games for complex systems analysis and design has been acknowledged about 50 years ago. However, articles do not combine all salient factors for successful simulation games, and often stem from a clear view of one particular field of science only. With combining multiple disciplines, connect analysis and design as well as research and practice, we provide deep insights in design and use of simulation games. Aim. This article analyzes the design and evaluation process of a variety of game-based projects and activities, using existing scientific concepts and approaches, in order to establish games as a valid research tool. Our focus lies on the approach towards the use of games as design instrument; using them as an intervention in a larger, complex context, in order to design this context. With our contribution, we aim at providing insights and recommendations on the design and use of games as valid research tools, the limitations of this use, possible pitfalls, but also best practices. Method. We carried out a literature review of related work to identify the most important scientific concepts related to our approach of game design. Further use of combined quantitative and qualitative case study analyses highlights the design process and results of our own game studies. Results. The analyses yielded a consolidated conceptualization of simulation games as research instruments in complex systems analysis and design. The results also include methods for the evaluation of simulation games, additional evaluation methods, and limitations to use simulation games as research instruments. Conclusions. We propose guidelines for using simulation games as research instruments that may be of value to practitioners and scientists alike. Recommendation. We recommend practitioners and scientists to apply the guidelines presented here in their efforts to analyze and design complex systems.

https://journals.sagepub.com/doi/pdf/10.1177/1046878118768858

A Scientific Foundation of Simulation Games for the Analysis and Design of Complex Systems

The authors demonstrate how simulation games can be used to test and explore initial infrastructure designs before they are implemented. Games can provide important learning experiences for (future) designers and managers. The case study of a computer-supported simulation game, SIM Maasvlakte 2 (SIM MV2), uses a game whose object is to design and allocate land for the Maasvlakte 2 port area, to be built between 2006 and 2036 in the Port of Rotterdam, the Netherlands. The evaluation aimed at improving the game, examining the system complexity of the seaport, and establishing corresponding learning effects among the participants.

Geertje Bekebrede

Papers

The research and evaluation of serious games: Toward a comprehensive methodology

Reviewing the need for gaming in education to accommodate the net generation

Experiencing Complexity: A gaming approach for understanding infrastructure systems

A Scientific Foundation of Simulation Games for the Analysis and Design of Complex Systems

Build your seaport in a game and learn about complex systems