Articles

Decision Aids and Compensatory Information Processing

P. A. TODD, I. BENBASAT

Journal of Behavioral Decision Making

2000, vol. 13, n°1, pp.91-106

Départements : Information Systems and Operations Management

Mots clés : decision support;decision strategy;effort–accuracy trade-offs


This paper examines the role of computer-based decision aids in reducing cognitive effort and therefore influencing strategy selection. It extends and complements the work reported in the behavioral decision theory literature on the role of effort and accuracy in choice tasks. The central proposition of the research is that if a decision aid makes a strategy that should lead to a more accurate outcome at least as easy to employ as a simpler, but less accurate, heuristic, then the use of a decision aid should induce that more accurate strategy and as a consequence improve decision quality. Otherwise, a decision aid may only influence decision-making efficiency. This occurs because decision makers use a decision aid in such a way as to minimize their overall level of effort expenditure. Results from a laboratory experiment support this proposition. When a more accurate normative strategy is made less effortful to use, it is used. This result is consistent with the findings of our prior studies, but more clearly demonstrates that decision aids can induce the use of normatively oriented strategies. The key to inducing these strategies is to make the normative strategy easier to execute than competing alternative strategies

Innovative based supply strategies in the construction industry

S. BEN MAHMOUD-JOUINI

Construction Management & Economics

septembre 2000, vol. 18, n°6, pp.643-650

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


In the construction industry demand drives the design process and as a result design is structured in order to respond to this demand. However, what happens when this demand breaks down, when traditional markets are saturated, and no feasible alternative arises? Will this sector be capable of refocusing their efforts on creating new products to offer? Is it possible for industry participants to adopt a proactive strategy? These questions are investigated and it is seen that the French construction industry, and in particular major contractors, illustrate the problem perfectly. Examples are analysed of innovative offerings in this industry, two groups of which could be developed further

Multi-objective routing within large scale facilities using open finite queueing networks

L. KERBACHE, J. Smith

European Journal of Operational Research

2000, vol. 121, n°1, pp.105-123

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


The major objective of this paper is to examine the optimal routing in layout and location problems from a network optimization perspective where manufacturing facilities are modelled as open finite queueing networks with a multi-objective set of performance measures. The overall material handling system is broken down into a set of layout topologies. For each one of these topologies the optimal routing is determined so that the product throughput is maximized while minimizing the average sojourn time and holding costs. An approximate analytical decomposition technique for modelling open finite queueing networks, called the Generalized Expansion Method (GEM), developed by the authors, is utilized to calculate the desired outputs. A mathematical optimization procedure which is described in this paper is then used to determine the optimal routes. As will be demonstrated, the design methodology of combining the optimization and analytical queueing network models provides a very effective procedure for evaluating alternative topologies while simultaneously determining the average sojourn times and the maximum throughputs of the best routes

Tableaux de bord informatisés - les écueils à éviter, le contenu du cahier des charges et un panorama de la technologie actuelle

M.-H. DELMOND

Revue Fiduciaire Comptable

janvier 2000, n°258, pp.37-60

Départements : Information Systems and Operations Management



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