Perspectives on experiences of innovation: the development of an assessment methodology appropriate to construction project organizations

The UK construction industry is in the process of trying to adopt a new culture based on the large-scale take up of innovative practices. Through the Demonstration Project process many organizations are implementing changed practices and learning from the experiences of others. This is probably the largest experiment in innovation in any industry in recent times. The long-term success will be measured by the effectiveness of embedding the new practices in the organization. As yet there is no recognized approach to measuring the receptivity of the organization to the innovation process as an indication of the likelihood of long-term development. The development of an appropriate approach is described here. Existing approaches to the measurement of the take up of innovation were reviewed and where appropriate used as the base for the development of a questionnaire. The questionnaire could be applicable to multi-organizational construction project situations such that the output could determine an individual organization's innovative practices via an innovation scorecard, a project team's approach or it could be used to survey a wide cross-section of the industry.

Critical success factors for competitiveness of contractors: A China study

Gaining or maintaining a “contractor's” competitive advantage is not easy as it is determined by a large number of factors. Identification of critical success factors (CSFs) allows one to reduce the vast number of factors to some manageable few but vital ones. Based on the CSFs, contractors' limited resources such as money and manpower can be allocated and aligned appropriately for yielding a maximum outcome of overall competitiveness. This paper describes the CSFs identified from a survey study carried out in Mainland China. The ranking analysis of the survey results shows that 35 factors are rated as critical for determining the competitiveness of a contractor. Factor analysis reveals that the 35 CSFs identified can be grouped into eight clusters, namely, project management skills, organization structure, resources, competitive strategy, relationships, bidding, marketing, and technology. The CSFs in this study provide a vehicle for guiding a contractor in managing its resources in order to improve competitive advantage. The study also provides insights into the management of competitiveness for contractors that are operating in the particular context of the Chinese construction industry.

Assessment of evaluations made to healthy eating policies in Europe: a review within the EATWELL Project

Objective: To identify and assess healthy eating policies at national level which have been evaluated in terms of their impact on awareness of healthy eating, food consumption, health outcome or cost/benefit. Design: Review of policy documents and their evaluations when available. Setting: European Member States. Subjects: One hundred and twenty-one policy documents revised, 107 retained. Results: Of the 107 selected interventions, twenty-two had been evaluated for their impact on awareness or knowledge and twenty-seven for their impact on consumption. Furthermore sixteen interventions provided an evaluation of health impact, while three actions specifically measured any cost/benefit ratio. The indicators used in these evaluations were in most cases not comparable. Evaluation was more often found for public information campaigns, regulation of meals at schools/canteens and nutrition education programmes. Conclusions: The study highlights the need not only to develop harmonized and verifiable procedures but also indicators for measuring effectiveness and success and for comparing between interventions and countries. EU policies are recommended to provide a set of indicators that may be measured consistently and regularly in all countries. Furthermore, public information campaigns should be accompanied by other interventions, as evaluations may show an impact on awareness and intention, but rarely on consumption patterns and health outcome.

The REFLEX project: Comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data

We describe a model-data fusion (MDF) inter-comparison project (REFLEX), which compared various algorithms for estimating carbon (C) model parameters consistent with both measured carbon fluxes and states and a simple C model. Participants were provided with the model and with both synthetic net ecosystem exchange (NEE) of CO2 and leaf area index (LAI) data, generated from the model with added noise, and observed NEE and LAI data from two eddy covariance sites. Participants endeavoured to estimate model parameters and states consistent with the model for all cases over the two years for which data were provided, and generate predictions for one additional year without observations. Nine participants contributed results using Metropolis algorithms, Kalman filters and a genetic algorithm. For the synthetic data case, parameter estimates compared well with the true values. The results of the analyses indicated that parameters linked directly to gross primary production (GPP) and ecosystem respiration, such as those related to foliage allocation and turnover, or temperature sensitivity of heterotrophic respiration, were best constrained and characterised. Poorly estimated parameters were those related to the allocation to and turnover of fine root/wood pools. Estimates of confidence intervals varied among algorithms, but several algorithms successfully located the true values of annual fluxes from synthetic experiments within relatively narrow 90% confidence intervals, achieving >80% success rate and mean NEE confidence intervals <110 gC m−2 year−1 for the synthetic case. Annual C flux estimates generated by participants generally agreed with gap-filling approaches using half-hourly data. The estimation of ecosystem respiration and GPP through MDF agreed well with outputs from partitioning studies using half-hourly data. Confidence limits on annual NEE increased by an average of 88% in the prediction year compared to the previous year, when data were available. Confidence intervals on annual NEE increased by 30% when observed data were used instead of synthetic data, reflecting and quantifying the addition of model error. Finally, our analyses indicated that incorporating additional constraints, using data on C pools (wood, soil and fine roots) would help to reduce uncertainties for model parameters poorly served by eddy covariance data.

The GODAE high resolution sea surface temperature pilot project

Sea surface temperature (SST) measurements are required by operational ocean and atmospheric forecasting systems to constrain modeled upper ocean circulation and thermal structure. The Global Ocean Data Assimilation Experiment (GODAE) High Resolution SST Pilot Project (GHRSST-PP) was initiated to address these needs by coordinating the provision of accurate, high-resolution, SST products for the global domain. The pilot project is now complete, but activities continue within the Group for High Resolution SST (GHRSST). The pilot project focused on harmonizing diverse satellite and in situ data streams that were indexed, processed, quality controlled, analyzed, and documented within a Regional/Global Task Sharing (R/GTS) framework implemented in an internationally distributed manner. Data with meaningful error estimates developed within GHRSST are provided by services within R/GTS. Currently, several terabytes of data are processed at international centers daily, creating more than 25 gigabytes of product. Ensemble SST analyses together with anomaly SST outputs are generated each day, providing confidence in SST analyses via diagnostic outputs. Diagnostic data sets are generated and Web interfaces are provided to monitor the quality of observation and analysis products. GHRSST research and development projects continue to tackle problems of instrument calibration, algorithm development, diurnal variability, skin temperature deviation, and validation/verification of GHRSST products. GHRSST also works closely with applications and users, providing a forum for discussion and feedback between SST users and producers on a regular basis. All data within the GHRSST R/GTS framework are freely available. This paper reviews the progress of GHRSST-PP, highlighting achievements that have been fundamental to the success of the pilot project.