THE DOMINANT ROLE OF "LOCAL" INFORMATION IN USER INNOVATION: THE CASE OF MOUNTAIN BIKING

In a study of innovations developed by mountain bikers, we find that user-innovators almost always utilize "local" information - information already in their possession or generated by themselves - to assess the need for and to develop solutions for their innovations. We argue that this finding fits the economic incentives operating on users. Local need information is the most relevant to user-innovators, since the bulk of their innovation-related rewards typically come from in-house use. Local solution information that is already "in stock" is preferred because it can be applied to innovation-related problem-solving at a relatively low cost. Our findings suggest that innovation development is distributed among users in an economical way: user-innovations tend to be developed by "low-cost providers." It also suggests that the likely function and solution type employed in most user innovations can be predicted on the basis of preexisting user activity patterns and stocks of solution-related information. This in turn opens the way to new methods for efficiently screening user populations for the presence of innovations of any specified typ

THE DOMINANT ROLE OF "LOCAL" INFORMATION IN USER INNOVATION: THE CASE OF MOUNTAIN BIKING

In a study of innovations developed by mountain bikers, we find that user-innovators almost always utilize "local" information - information already in their possession or generated by themselves - to assess the need for and to develop solutions for their innovations. We argue that this finding fits the economic incentives operating on users. Local need information is the most relevant to user-innovators, since the bulk of their innovation-related rewards typically come from in-house use. Local solution information that is already "in stock" is preferred because it can be applied to innovation-related problem-solving at a relatively low cost. Our findings suggest that innovation development is distributed among users in an economical way: user-innovations tend to be developed by "low-cost providers." It also suggests that the likely function and solution type employed in most user innovations can be predicted on the basis of preexisting user activity patterns and stocks of solution-related information. This in turn opens the way to new methods for efficiently screening user populations for the presence of innovations of any specified typeUser Innovation, Local Information, Mountain Biking,

Measurement of Left Atrial Pressure is a Good Predictor of Freedom From Atrial Fibrillation

AbstractBackgroundIt is suggested that an elevated left atrial pressure (LAP) promotes ectopic beats emanating in the pulmonary veins (PVs) and that LAP might be a marker for structural remodeling. This study aimed to identify if the quantification of LAP correlates with structural changes of the LA and may therefore be associated with outcomes following pulmonary vein isolation (PVI).MethodsWe analysed data from 120 patients, referred to PVI due to drug-refractory atrial fibrillation (AF) (age 63±8; 57% men). The maximum (mLAP) and mean LAP (meLAP) were measured after transseptal puncture.Results and ConclusionsWithin a mean follow-up of 303±95 days, 60% of the patients maintained in sinus rhythm after the initial procedure and 78% after repeated PVI. Performing univariate Cox-regression analysis, type of AF, LA-volume (LAV), mLAP and the meLAP were significant predictors of recurrence after PVI (p=0.03; p=0.001; p=0.01). In multivariate analysis mLAP>18mmHg, LAV>100ml and the presence of persistent AF were significant predictors (p=0.001; p=0.019; p=0.017). The mLAP >18mmHg was associated with a hazard ratio of 3.8. Analyzing receiver-operator characteristics, the area under the curve for mLAP was 0.75 (p<0.01). mLAP >18mmHg predicts recurrence with a sensitivity of 77 % and specificity of 60 %. There was a linear correlation between the LAV from MDCT and mLAP (p=0.01, R2=0.61). The mLAP measured invasively displays a significant predictor for AF recurrence after PVI. There is a good correlation between LAP and LAV and both factors may be useful to quantify LA remodeling