Cahiers de recherche

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Département Management des Opérations & Systèmes d'Information

Burke, Carillo and Vakharia [2009] consider a class of single product sourcing problems with a stochastic demand and multiple uncertain suppliers. Assuming that the demand is independent of the supplier reliabilities and uniformly distributed, they propose to write the expected profit as a quadratic function and derive a closed form expression for the optimal orders. We show that this formula is true only under special circumstances, which are not satisfied in many practical situations of interest. We give an exact formulation and solution procedure, holding under general assumptions. We illustrate our point by a complementary analysis of the numerical examples given in the quoted paper.


Département Management des Opérations & Systèmes d'Information

Notwithstanding their many environmental, economic and social advantages, renewable energy technologies (RE) account for a small fraction of the world’s primary energy supply. One possible cause for this limited diffusion is that private investments in the RE sector, although potentially appealing, remain insufficient. The lack of adequate financing is also a clear indication that our understanding of the process by which investors fund RE ventures is still incomplete. This paper aims to fill in this gap and to shed new light on RE investment decisions. Building upon behavioral finance and institutional theory, we posit that, in addition to a rational evaluation of the economics of the investment opportunities, various nonfinancial factors affect the decision to invest in renewables. We analyze the investment decisions of a large sample of investors, with the objective to identify the main determinants of their choices. Our results shed new light on the role of institutional and behavioral factors in determining the share of renewable energy technologies in energy portfolios, and have important implications for both investors and policy makers: they suggest that RE technologies still suffer from a series of biased perceptions and preconceptions that favor status quo energy production models over innovative alternatives.


Département Management des Opérations & Systèmes d'Information

Investments in renewable energy (RE) technologies are regarded with increasing interest as an effective means to stimulate growth and accelerate the recovery from the recent financial crisis. Yet, despite their appeal, and the numerous policies implemented to promote these technologies, the diffusion of RE projects remains somehow below expectations. This limited penetration is also due to a lack of appropriate financing and to a certain reluctance to invest in these technologies. In order to shed light on this phenomenon, in this paper we examine the decision making process underlying investments in RE technologies. We propose and test a conceptual model that examines the structural and behavioral factors affecting the investors decisions as well as the relationship between RE investments and portfolio performance. Applying econometric techniques on primary data collected from a sample of European investors, we study how the investors a-priori beliefs, their preferences over policy instruments and their attitude toward technological risk affect the likelihood of investing in RE projects. We also demonstrate that portfolio performance increases with an increase of the RE share in the portfolio. Implications for scholars, investors, technology managers and policy makers are derived and discussed.


Département Management des Opérations & Systèmes d'Information

Integrated bundles of products and services are gaining importance in various sectors and are reshaping the competitive landscape of many industries. They also pose new challenges to established firms, who need to reconfigure their capabilities. Drawing upon the resource-based view and contingency theory, we test a model of fit between environmental requirements and integrated solutions capabilities in the IT sector. We used the model to interpret the current industry structure and analyze its dynamics. The analysis suggests the existence of four different configurations and indicates that differences in fit between environmental variables and strategic choices partially account for performance differences among integrated solution providers.

Contacts  


Informations Systems and Operations Management


Campus HEC Paris
1, rue de la Libération
78351 Jouy-en-Josas cedex
France

Faculté  

Peter A. TODD

Informations Systems and Operations Management (GREGHEC)

Voir le CV

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