Ratings of corporations' environmental activities and capabilities influence billions of dollars of "Socially responsible" investments as well as some consumers, activists, and potential employees. In one of the first studies to assess these ratings, we examine how well the most widely used ratings - those of Kinder, Lydenberg, Domini Research...
This paper explores complexities of the relationship between learning and performance. Paper starts with the general proposition that learning promotes performance, and then describes several challenges for researchers and managers who wish to study or promote learning in support of performance improvement. Psychological and interpersonal risks of learning behavior are...
Learning-curve research has found that rates of learning can vary across similar settings, such that cumulative experience is a necessary but insufficient predictor of learning-curve slope. One explanation for this finding is that how the learning process is managed affects rates of learning. An additional possibility is investigated. At any...
Firms and regulators are increasingly relying on voluntary mechanisms to signal and infer quality of difficult-to-observe management practices. Prior evaluations of voluntary management programs have focused on those that lack verification mechanisms and have found little evidence that they legitimately distinguish adopters as having superior management practices or performance. In...
Creativity is the lifeblood of innovation and marketing, but where does it come from and how should a company nurture this elusive trait? How does one explore creativity on the job—and use it to one's advantage?
The more you demonstrate true commitment and honesty, the more people trust you. The better you do your job, the more people respect you. If you are doing your job well by honestly addressing the status quo and having the group design working relationships, that bring out their best. This...
Shape comparisons of two groups of objects often have two goals: to produce a classifier to separate the two groups and to provide information to show differences between the groups. The researchers examine issues that are important for shape analysis in a study comparing schizophrenic patients to normal subjects. They...
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm attempts to recognize deviations from normalcy in order to compute a fitness map over the image associated with the presence of pathology. The...
The objective of this paper is to investigate the relationship between magnetic resonance imaging MRI regional lesion burden and cognitive performance in multiple sclerosis MS over a four year follow-up period. MS lesions show a propensity for frontal and parietal white matter. Lesion burden in these areas was strongly associated...
A novel method of incorporating shape information into the image segmentation process is presented. This paper introduces a representation for deformable shapes and defines a probability distribution over the variances of a set of training shapes. The segmentation process embeds an initial curve as the zero level set of a...
A method is presented for segmentation of anatomical structures that incorporates prior information about the intensity and curvature profile of the structure from a training set of images and boundaries. Specifically, this paper models the intensity distribution as a function of signed distance from the object boundary, instead of modeling...
