How do large multinational companies implement open innovation?

This paper addresses a major gap in reported research on open innovation (OI): how do companies implement open innovation? To answer this question a sample of 43 cross-sector firms were reviewed for their OI implementation approaches. The study analyzed how firms moved from practising closed to open innovation, classifying the adoption path according to the impetus for the adoption of the OI paradigm and the coordination of the OI implementation. The way firms adopted OI was found to vary according to (1) their innovation requirements, (2) the timing of the implementation and (3) their organizational culture. © 2011 Elsevier Ltd. All rights reserved.

Handling uncertainty in housing stock models

Housing stock models can be useful tools in helping to assess the environmental and socio-economic impacts of retrofits to residential buildings; however, existing housing stock models are not able to quantify the uncertainties that arise in the modelling process from various sources, thus limiting the role that they can play in helping decision makers. This paper examines the different sources of uncertainty involved in housing stock models and proposes a framework for handling these uncertainties. This framework involves integrating probabilistic sensitivity analysis with a Bayesian calibration process in order to quantify uncertain parameters more accurately. The proposed framework is tested on a case study building, and suggestions are made on how to expand the framework for retrofit analysis at an urban-scale. © 2011 Elsevier Ltd.