Innovation strategies of industrial groups in the global crisis: Rationalization and new paths

In the on-going context of globalization, the strategy of multinational enterprises combines the aims of constant supply renewal (through technological, but also organizational and commercial innovation) and of production rationalization (reduction of production costs). The financial dimension is narrowly linked to these strategies, as the financial deregulation has generated a strong pressure on enterprises, aimed at increasing the shareholder value. In this paper, we study the impacts of the current financial and economic crisis on the strategy and the management of innovation in big industrial firms. We present the result of an enquiry that has been achieved in France in 2009 and 2010 in companies such as Renault, Thales, General Electric, Lesieur, PSA, Saint-Gobain, Valeo, and ArcelorMittal. We show that firms rationalize their R&D expenses, accentuate their open innovation strategies, develop a strategic use of IPRs and try to implement new innovation paths, oriented toward the exploitation (low cost strategies) and the accumulation (clean technologies) of their knowledge-capital.     

Learning through games? Evaluating the learning effect of a policy exercise on European climate policy

One of the arguments for the use of simulation-gaming approaches in policy appraisal has consistently been their potential to stimulate learning. Yet few studies seek to ascertain the learning effects of these methods in a systematic manner; on the whole, participants' learning from interactive appraisal processes remains both under-conceptualised and under-evaluated. This paper seeks to contribute to filling this gap by developing a typology of learning effects (cognitive, relational, and normative) that can be expected from policy games. We subsequently present a set of tools for measuring them and test our approach on the case of a policy exercise on burden sharing in future European climate policy involving policy-makers and experts.On the basis of our measurements, we found limited evidence for learning from the policy exercise, mostly in the cognitive and the relational domain. In this context, the use of concept maps is an interesting methodological innovation. Employed as pre- and post-measurements, they proved a useful tool for tracing conceptual change through the exercise among participants. The paper concludes with a plea for more systematic assessment of the learning effects of interactive appraisal exercises, with a view to enabling a deeper discussion on the benefits and limitations of these methods.     

Innovation forecasting: A case study of the management of engineering and technology literature

The following paper contributes to the methodology of innovation forecasting. The paper analyzes the literature of engineering and technology management. A brief history and justification for interest in engineering and technology management is presented. The field has a sixty year history of interdisciplinary, and is therefore a ripe source for closer investigation into time trends of knowledge. The paper reviews the literature of innovation forecasting, examining a range of theoretical and methodological literatures interested in the evolution of knowledge. A new application of a model, suitable for sparse and count-like publication data, is presented. A mathematical presentation of the model is offered. A discussion is offered on how the model may be implemented in an approachable way within spreadsheet software. A time history of engineering management literature is extracted from a database and analyzed using the model. A projection of keyword growth is offered, and key features of the emerging knowledge base within engineering management are discussed. Recommendations for future research, as well as for those monitoring the status of the discipline of engineering management, are made.     

Exploratory analysis of the impact of information dynamics on innovation diffusion

Understanding the dynamic nature of innovation diffusion processes, and mechanisms underlying these dynamics is crucial, since such an understanding is potentially very important in designing effective innovation support policies and developing better diffusion forecasts. The role of information diffusion in conditioning the diffusion dynamics of an innovation is the locus of this study. In order to investigate this, a simulation model that distinguishes between the real attributes of the innovation and their perceived levels by the user groups has been developed. The model makes it possible to separately trace the diffusion dynamics of innovation and the information about an innovation. Additionally, the formulation of the model enables the message broadcasted via word-of-mouth to change in nature from positive to negative, or vice versa. This generic model is used in an exploratory way, which is discussed as a novel approach for conducting a simulation-based analysis. Such an exploration covers a wide range of plausible diffusion behaviors, and aims to demonstrate the extent to which information imperfections and dynamics may influence the diffusion process. During experiments it is observed that information imperfections as well as the pace of learning processes may yield significant changes in the diffusion patterns. These changes may be in the form of altering the basic characteristics of the well-known S-shaped diffusion curve, as well as stopping the diffusion at much lower levels than full adoption. The analysis presented in the article shows that exploratory analysis is a promising way to utilize simulation models for developing general insights about dynamics processes.