creators_name: Benchimol, Guy creators_id: b.guy@noos.fr type: other datestamp: 2007-11-22 01:48:34 lastmod: 2011-03-11 08:57:00 metadata_visibility: show title: METRICS ispublished: unpub subjects: comp-sci-stat-model subjects: comp-sci-hci full_text_status: public keywords: figures, ERP, ETL, key indicators, objectives, diagrams, dashboards, weight, performance, cascading accountabilities, outputs, outcomes, short term, long term, suboptimization, global optimization,lagging indicators, leaders indicators, quantitative data, qualitative features, client, result, criteria, incentive, market value, current value, future value assets, stakeholder, early signal, key driver, reward, side-effect, relative, absolute, trend abstract: Metrics are a sine qua non condition of an efficient management. Indeed, management cannot be based upon intuition: it has to be underpinned by figures. The choice of the indicators, their link to objectives and their strategic value, the weight to be assigned to them in terms of performance and cascading accountabilities imply considering: - outputs vs outcomes - short term vs long term - suboptimization vs global optimization - lagging vs leaders indicators New metrics methods in management are doomed to give priority to effectiveness over efficiency. date: 2007-11-15 date_type: completed refereed: FALSE citation: Benchimol, Guy (2007) METRICS. (Unpublished) document_url: http://cogprints.org/5833/1/METRICS.pdf