Articles scientifiques

A Configural Approach to Coordinating Expertise in Software Development Teams

S. KUDARAVALLI, S. FARAJ, S. L. JOHNSON

MIS Quarterly

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

Mots clés : Software development, software teams, expertise coordination, configuration, centralization, knowledge tacitness, team conflict, coordination success

http://misq.org/a-configural-approach-to-coordinating-expertise-in-software-development-teams.html


Despite the recognition of how important expertise coordination is to the performance of software development teams, understanding of how expertise is coordinated in practice is limited. We adopt a configural approach to develop a theoretical model of expertise coordination that differentiates between design collaboration and technical collaboration. We propose that neither a strictly centralized, top-down model nor a largely decentralized approach is superior. Our model is tested in a field study of 71 software development teams. We conclude that because design work addresses ill-structured problems with diverse potential solutions, decentralization of design collaboration can lead to greater coordination success and reduced team conflict. Conversely, technical work benefits from centralized collaboration. We find that task knowledge tacitness strengthens these relationships between collaboration configuration and coordination outcomes and that team conflict mediates the relationships. Our findings underline the need to differentiate between technical and design collaboration and point to the importance of certain configurations in reducing team conflict and increasing coordination success in software development teams. This paper opens up new research avenues to explore the collaborative mechanisms underlying knowledge team performance.

A Model of Mental Accounting and Reference Price Adaptation

M. BAUCELLS, W. HWANG

Management Science

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Départements : Informations Systems and Operations Management

Mots clés : Mental accounting, reference price, loss aversion, sunk-cost fallacy, payment depreciation, reluctance to trade, flat-rate bias.

http://pubsonline.informs.org/doi/abs/10.1287/mnsc.2016.2569


Consumers possess a mental account that stores the worth of items purchased and yet to be consumed. Reference prices act as the book values of these items. Movements in the account—the comparison between the reference price and the price paid at entry, and the comparison between the benefit of consumption and the reference price at exit—yield hedonic benefits. The reference price is determined by a psychological process of adaptation to the price evoked by the trade. The model is integrative, in that it explains a wide array of observed anomalies such as sunk-cost effects, payment depreciation, reluctance to trade, preference for pre-payment, and the flat-rate bias. The model also generates new testable implications.

An Integrated Revenue Management Framework for a Firm's Greening, Pricing and Inventory Decisions

S. A. RAZA, S. RATHINAM, M. TURIAC, L. KERBACHE

International Journal of Production Economics

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

Mots clés : Environment, Newsvendor problem, Pricing, Market segmentation, Distribution-free approach

http://www.sciencedirect.com/science/journal/aip/09255273


There is a growing interest on developing efficient ways of incorporating environmental considerations into business practices in order to meet both consumers' demand for green products/services, and the firms' sustainable profitability. The main contribution of this article is in developing an integrated revenue management framework to address a firm's greening (investment) effort, pricing and inventory decisions. It is assumed that the firm inaugurates a green product along with its existing product. Even though the firm offers both the green and regular product at differentiated prices, the market segmentation as a result of this price differentiation is regarded as imperfect. This imperfect market segmentation causes a demand leakage mainly due to the heterogeneity among the customers' willingness-to-pay. These effects are included in our proposed model and simplified analytical solutions are developed to solve the same. Additional scenarios where a firm experiences a price-dependent stochastic demand with an unknown distribution is also modeled. This scenario is addressed using a distribution-free approach based on Scarf' s rule. The performance of the proposed methods and the significance of the modeling framework are finally corroborated through several simulations. This analysis provides a sustainable environment, production and retailing framework while still augmenting profitability using fundamental tools from revenue management

Impact of Average Rating on Social Media Endorsement: The Moderating Role of Rating Dispersion and Discount Threshold

X. LI

Information Systems Research

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


Inventory allocation models for a two-stage, twoproduct, capacitated supplier and retailer problem with random demand

K. LUO, R. BOLLAPRAGADA, L. KERBACHE

International Journal of Production Economics

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

Mots clés : supply chain management, inventory management, capacity allocation, heuristic methods

http://ac.els-cdn.com/S0925527316303930/1-s2.0-S0925527316303930-main.pdf?_tid=e3dcdf78-c36d-11e6-ab1d-00000aacb362&acdnat=1481878922_0f8e1cce572aa5799576c97c7d14f216


The objective of this research is to develop an optimal inventory allocation methodology for a supply chain consisting of a capacitated retailer with limited shelf space, and two unreliable capacitated suppliers in an uncertain environment. We develop conceptual and analytical models that provide allocation preferences between shelf-space and warehouse in both deterministic and stochastic demand cases, and develop managerial insights based on them. For each case, we provide both a closed-form solution and a heuristic method, and illustrate the bounds on the optimal solution. Further, we show that the cost function is L-convex in some cases. Finally, we prove that the expected profit decreases as the variance of demand increases

Contacts  


Informations Systems and Operations Management


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

Faculté  

Andrea MASINI

Informations Systems and Operations Management (GREGHEC)

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