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Saint-Martin-de-Re, France

ESCP Europe is a business school with campuses in Paris, London, Berlin, Madrid, and Turin. Established in 1819, it is the oldest business school in the world.Its programmes are triple-accredited by the international AMBA, EQUIS, and AACSB. The school has many notable alumni in business and politics, such as Patrick Thomas , a former Prime Minister of France, Jean-Pierre Raffarin and the EU Commissioner for Internal Market and Services Michel Barnier. ESCP Europe has a total of 45000 alumni all over the world. Wikipedia.

Besson P.,ESCP Europe | Rowe F.,SKEMA Business School
Journal of Strategic Information Systems | Year: 2012

Twenty years after the promise of Information Systems enabling Organizational Transformation (IS-enabled OT), what have we learned? This paper reviews the literature in order to better understand this phenomenon. As specialists in IS, strategy and organizational studies, we analyze the discourse on OT found in the strategy, organizational theory and IS literature, and identify four structuring themes: organizational inertia, process, agency and performance. We apply the coding derived from these themes to a set of 62 empirical papers and discuss the results. Ten research avenues are then identified to show that IS-enabled OT is still a new frontier for strategic information systems research. © 2012 Elsevier B.V. All rights reserved. Source

The goal of this paper is to present a model for the joint evolution of correlated commodity forward curves. Each forward curve is directed by two state variables, namely slope and level, and the model is meant to capture both the local and global dependence structures between slopes and levels. Our framework can be interpreted as an extension of the concept of cointegration to forward curves. The model is applied to a US database of heating oil and natural gas futures prices over the period February 2000-February 2009. We find the long-run slope and level relationships between natural gas and heating oil markets, analyze the lead and lag properties between the two energy commodities, the volatilities and correlations between their daily co-movements and evaluate the robustness of these observations to the turmoil experienced by energy markets since 2003. © 2009 Elsevier B.V. All rights reserved. Source

The links between economic prosperity, or lack thereof, and the exploitation and use of energy and other natural resources go back to the earliest records of the human species - and in important respects even further back to when hunting and foraging characterised the earliest humanoid species. This paper surveys the challenges of resource exploitation and use, reflecting that as we exploit the most readily and cheapest resources, and extraction technology, available at the time, so the marginal returns of each tend to decline as the highest quality is depleted, costs rise, and alternatives are increasingly sought. There are few resources where this is truer than the various forms of energy which have been exploited down the ages. Many complex societies in the past have failed to make a successful transition, and the historic record demonstrates clearly the inadequacies of Solow-type growth theory. Scenarios of global energy prospects for the 21st Century need to consider the past and, in the light of it, ask whether the end of the Anthropocene Age is in sight or whether some kind of Promethean leap will come to the rescue. © 2015 Elsevier Ltd. Source

Hallock J.L.,SUNY College of Environmental Science and Forestry | Wu W.,University of Southern Mississippi | Hall C.A.S.,SUNY College of Environmental Science and Forestry | Jefferson M.,ESCP Europe
Energy | Year: 2014

Oil and related products continue to be prime enablers of the maintenance and growth of nearly all of the world's economies. The dramatic increase in the price of oil through mid-2008, along with the coincident (and possibly resultant) global recession, highlight our continued vulnerability to future limitations in the supply of cheap oil. The very large differences between the various estimates of the original volume of extractable conventional oil present on earth (EUR) have, at best, fostered uncertainty of the risk of future supply limitations among planners and policy makers, and at worse lulled the world into a false sense of security. In 2002 we modeled future oil production in 46 nation-units and the world by using a three-phase, Hubbert-based approach that produced trajectories dependent on settings for EUR (extractable ultimate resource), demand growth, percent of oil resource extracted at decline, and maximum allowable rates of production growth. We analyzed the sensitivity of the date of onset of decline for oil production to changes in each of these input parameters. In this current effort, we compare the last eleven years of empirical oil production data to our earlier forecast scenarios to evaluate which settings of EUR and other input parameters had created the most accurate projections. When combined with proper input settings, our model consistently generated trajectories for oil production that closely approximated the empirical data at both the national and the global level. In general, the lowest EUR scenarios were the most consistent with the empirical data at the global level and for most countries, while scenarios based on the mid and high EUR estimates overestimated production rates by wide margins globally. The global production of conventional oil began to decline in 2005, and has followed a path over the last 11 years very close to our scenarios assuming low estimates of EUR (1.9Gbbl). Production in most nations is declining, with historical profiles generally consistent with Hubbert's premises. While new conventional oil discoveries and production starts are expected in the near term, the magnitudes necessary to increase our simulated production trajectories by even 1.0% per year over the next 10 years would represent a large departure from current trends. Our now well-validated simulations are at significant variance from many recent "predictions" of extensive future availability of conventional oil. © 2013 Elsevier Ltd. Source

Zhou W.,ESCP Europe | Kapoor G.,University of Florida
Decision Support Systems | Year: 2011

A fraudulent financial statement involves the intentional furnishing and/or publishing of false information in it and this has become a severe economic and social problem. We consider Data Mining (DM) based financial fraud detection techniques (such as regression, decision tree, neural networks and Bayesian networks) that help identify fraud. The effectiveness of these DM methods (and their limitations) is examined, especially when new schemes of financial statement fraud adapt to the detection techniques. We then explore a self-adaptive framework (based on a response surface model) with domain knowledge to detect financial statement fraud. We conclude by suggesting that, in an era with evolutionary financial frauds, computer assisted automated fraud detection mechanisms will be more effective and efficient with specialized domain knowledge. © 2010 Elsevier B.V. All rights reserved. Source

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