Articles

A Pattern-Based Approach to Protocol Mediation for Web Service Composition

X. LI, Y. FAN, S. MADNICK, Q. Z. SHEG

Information and Software Technology

2010, vol. 52, n°3, pp.304-323

Départements : Information Systems and Operations Management, GREGHEC (CNRS)


Buffer and Server Allocation in General Multi-Server Queueing Networks

T. Van Woensel, R. Andriansyah, F. R. B. Cruz, J. MacGregor Smith, L. KERBACHE

International Transactions in Operational Research

mars 2010, vol. 17, n°2, pp.257-286

Départements : Information Systems and Operations Management, GREGHEC (CNRS)


This paper deals with the joint optimization of the number of buffers and servers, an important issue since buffers and servers represent a significant amount of investment for many companies. The joint buffer and server optimization problem (BCAP) is a non-linear optimization problem with integer decision variables. The performance of the BCAP is evaluated by a combination of a two-moment approximation (developed for the performance analysis of finite general-service queues) and the generalized expansion method (a well-known method for performance analysis of acyclic networks of finite queues). A standard non-linear optimization package is used to optimize the BCAP for a large number of experiments. A comprehensive set of numerical results is presented. The results show that the methodology is capable of handling the trade-off between the number of servers and buffers, yielding better throughputs than previously published studies. Also, the importance of the squared coefficient of variation of the service time is stressed, since it strongly influences the approximate optimal allocation.general servicejoint buffer and server allocationnetworksqueues

Capacités d'innovation des entreprises familiales pérennes: Proposition d'un cadre théorique et méthodologique

S. BEN MAHMOUD-JOUINI, A. BLOCH, S. Mignon

Revue Française de Gestion

2010, vol. 36, n°200, pp.111-126

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : Family-owned business enterprises, Innovations in business, Competitive advantage, Creative ability in business, Industrial management


L'objet de cet article est de mettre en évidence les caractéristiques familiales ayant un impact positif sur le processus d'innovation. Le croisement des variables relatives à l'innovation et celles ayant trait aux entreprises familiales pérennes a permis de dégager un cadre d'analyse et méthodologique des capacités d'innovation des entreprises familiales pérennes innovantes

E-Government, E-Business and National Economic Performance

S. C. SRIVASTAVA, T. S. H. Teo

Communications of the AIS

2010, vol. 26, n°1, pp.267-286

Départements : Information Systems and Operations Management, GREGHEC (CNRS)


Recent years have witnessed rapid developments in e-government as well as e-business within nations across the world. Although both e-government and e-business contribute toward national economic performance, few studies have analyzed the two jointly in a single research model. Using the Technology-Organization-Environment (TOE) framework and the literature on information and communication technology (ICT) impact; we empirically examine facilitators of e-government and e-business development, the relationship between e-government and e-business, and their collective impact on national economic performance. Our results, which emphasize the differential importance of factors associated with the development of e-government and e-business, can be used by national policy makers for designing effective ICT policies. Specifically, national ICT infrastructure appears to be important for both e-government and e-business. Quality of national human capital emerges as a significant facilitator for e-government but not for e-business, whereas national environment (institutional and macro-economic) appears to be the key enabler for e-business, but not for e-government. Our findings demonstrate the significant and intertwined roles of e-government and e-business in enhancing the national economic performance. With a view to enhancing national economic gains, this research suggests that policy makers should consider measures to enhance development of e-government and e-business collectively rather than in silos

Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis

S. Chandra, S. C. SRIVASTAVA, Y.-L. Theng

Communications of the AIS

2010, vol. 27, pp.561-588

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : Trust, Consumer, Adoption, Mobile payment systems


Consumer adoption of mobile payment (m-payment) solutions is low compared to the acceptance of traditional forms of payments. Motivated by this fact, we propose and test a "trust-theoretic model for consumer adoption of m-payment systems." The model, grounded in literature on "technology adoption" and "trust," not only theorizes the role of consumer trust in m-payment adoption, but also identifies the facilitators for consumer trust in m-payment systems. It proposes two broad dimensions of trust facilitators: "mobile service provider characteristics" and "mobile technology environment characteristics." The model is empirically validated via a sample of potential adopters in Singapore. In contrast to other contexts, results suggest the overarching importance of "consumer trust in m-payment systems" as compared to other technology adoption factors. Further, differential importance of the theorized trust facilitators of "perceived reputation" and "perceived opportunism" of the mobile service provider, and "perceived environmental risk" and "perceived structural assurance" of the mobile technology, are also highlighted. A series of post-hoc analyses establish the robustness of the theorized configuration of constructs. Subsequent, sub-group analyses highlight the differential significance of trust facilitators for different user sub-groups. Implications for research and practice emerging out of this study are also discussed

La recherche-accompagnement : entre accompagnement et recherche-intervention

S. BEN MAHMOUD-JOUINI, T. PARIS, S. Bureau

Revue de l'Entrepreneuriat

2010, vol. 9, n°2, pp.48-67

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : accompagnement, recherche-intervention,recherche-accompagnement, méthodologie.


La littérature sur l'accompagnement des entrepreneurs et de leurs projets est abondante. Elle aborde différentes problématiques (les enjeux macro-économiques, les impacts sur les performances de l'entreprise en création, les effets psychologiques sur l'entrepreneur') et analyse des contextes institutionnels variés (incubateur académique, coaching, dispositif d'aide aux chômeurs créant leur activité...). Un acteur est malgré tout systématiquement absent de ces travaux : le chercheur. Étrangement, alors qu'on le retrouve fréquemment dans le cadre de la recherche-intervention, méthodologie désormais classique pour accompagner des transformations dans les grandes organisations, cette posture n'est jamais mobilisée dans l'univers entrepreneurial. Cette méthodologie, reposant sur la réciprocité de la relation entre chercheurs et praticiens, offre pourtant un cadre de recherche qui représente une forme spécifique d'accompagnement des entrepreneurs. L'objet de cet article est donc d'étudier cette forme particulière d'accompagnement. En quoi la recherche-intervention dans des start-up constitue-t-elle une forme d'accompagnement ? Pour répondre à cette question, nous nous appuyons sur un dispositif expérimental de rechercheintervention que nous avons mené auprès de start-up innovantes, entre 2007 et 2009. Nous montrons alors d'une part comment ce dispositif éclaire et interroge les dispositifs d'accompagnement traditionnels et soulève d'autre part de nouvelles questions sur les méthodologies de recherche. Nous proposons pour conclure un nouveau cadre d'intervention : la recherche-accompagnement.

Launching New Products through Exclusive Sales Channels

D. ANDRITSOS, C. Tang

European Journal of Operational Research

juillet 2010, vol. 204, n°2, pp.366-375

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : Marketing, Manufacturing interfaces, Retail competition, Channel competition


When launching a new product, a manufacturer usually sells it through competing retailers under non-exclusive arrangements. Recently, many new products (cellphones, electronics, toys, etc.) are sold through a single sales channel via an exclusive arrangement. In this paper we present two separate models that examine these two arrangements. Each model is based on a Stackelberg game in which the manufacturer acts as the leader by setting the wholesale price and the retailers act as the followers by choosing their retail prices. For each model, we solve the Stackelberg game by determining the manufacturer’s optimal wholesale price and each retailer’s optimal retail price in equilibrium. Then we examine the conditions under which the manufacturer should sell the new product through an exclusive retailer. In addition, we examine the impact of postponing the wholesale price decision and the impact of demand uncertainty on the manufacturer’s optimal profit under both arrangements.

Optimal Internet Media Selection

J. Lee, P. Danaher, L. KERBACHE

Marketing Science

mars-avril 2010, vol. 9, n°2, pp.336-347

Départements : Information Systems and Operations Management, GREGHEC (CNRS)


In this study we develop a method that optimally selects online media vehicles and determines the number of advertising impressions that should be purchased and then served from each chosen website. As a starting point, we apply Danaher's [Danaher, P. J. 2007. Modeling page views across multiple websites with an application to Internet reach and frequency prediction. Marketing Sci. 26(3) 422'437] multivariate negative binomial distribution (MNBD) for predicting online media exposure distributions. The MNBD is used as a component in the broader task of media selection. Rather than simply adapting previous selection methods used in traditional media, we show that the Internet poses some unique challenges. Specifically, online banner ads and other forms of online advertising are sold by methods that differ substantially from the way other media advertising is sold. We use a nonlinear optimization algorithm to solve the optimization problem and derive the optimum online media schedule. Data from an online audience measurement firm and an advertising agency are used to illustrate the speed and accuracy of our method, which is substantially quicker than using complete enumeration.Key words: advertising; Internet marketing; media; optimization; probability modelsHistory: Received: March 19, 2008; accepted: March 27, 2009; processed by Peter Fader. Published online inArticles in Advance July 23, 2009.

Platform re-use lessons from the automotive industry

S. BEN MAHMOUD-JOUINI, S. Lenfle

International Journal of Operations & Production Management

2010, vol. 30, n°1, pp.98-124

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : Automotive industry, New products, Product design, Product development, Project management


Purpose ' The platform strategy adopted by firms in a multi-project context reduces lead-time and development cost, enhances reliability, allows mass customization and increases manufacturing flexibility. While the major challenges of this strategy have been highlighted, the evolution of the platform and its management during its lifecycle is under studied. The paper address this missing point by considering the sustainability of the platform during its life cycle.The platform strategy adopted by firms in a multi-project context reduces lead-time and development cost, enhances reliability, allows mass customization and increases manufacturing flexibility. While the major challenges of this strategy have been highlighted, the evolution of the platform and its management during its lifecycle is under studied. The paper address this missing point by considering the sustainability of the platform during its life cycle. Design/methodology/approach ' For that purpose, the paper has carried out a field methodology research at a car manufacturer six years after the successful setting of the platform strategy. It analyzes at a fine-grained level the development of a second generation product on this existing platform. Findings ' Using a model that traces the design decisions taken during this development, it has identified that, in order to reuse the platform over two generations, the engineers implicitly apply, besides the design rules that correspond to the very definition of platform strategy as presented in the literature such as the carry-over and the lean design, a learning routine that challenges these rules. It designates this routine by 'smart reuse' because it enables the reuse of the platform from one generation to another. It highlights the interplay between the products and the platform that co-evolve by pointing out the reciprocal prescription relationships. This co-evolution operates through two levels: between the product planning and the platform on one hand and the product development and the platform on the other. Practical implications ' The paper has several implications, such as the central role of the platform director in the platform reuse and the platform architecture, mainly its modularity, and its impact on the platform progressive renewal. This research reveals ideas that need to be validated and tested through other methods and in other industrial contexts. Originality/value ' The paper offers insights into platform-re-use, focusing on the automotive industry.

Two-stage flexible supply contract with payback and information update

A. Cheaitou, Z. Jemai, Y. Dallery, C. VAN DELFT

European Journal of Industrial Engineering (EJIE)

2010, vol. 4, n°4, pp.471-492

Départements : Information Systems and Operations Management, GREGHEC (CNRS)

Mots clés : Supply contracts, Forecast updating, Stochastic costs, Payback, Capacity reservations, Flexibility, Information updates, Two-stage contracts, Selling season, Demand forecasts, Decision adjustments, Options, Unit returns, Suppliers, Selling periods, Inventories, Salvage values, Satisfied demand, Unit selling prices, Unsatisfied demand, Order quantities, Optimal demand, Optimisation


In this paper, we consider a two-stage supply contract model for advanced reservation of capacity, with payback option at the beginning of the selling season. Between the two decision stages, external information is collected that serves to update the demand forecast and permits to adjust the decisions of the first stage by exercising options or by returning some units to the supplier. The demand occurs during a single selling period. At the end of the period, the remaining inventory, if any, is sold at a salvage value. During the selling season, any satisfied demand is charged with a unit selling price and any unsatisfied demand is lost. The objective of the model is to determine the quantities to be ordered before the beginning of the selling season which can be interpreted as the amount of capacity to be reserved, in order to satisfy optimally the demand


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