6,335 research outputs found

    Passing the buck in the garbage can model of organizational choice

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    We reconstruct Cohen, March and Olsen's Garbage Can model of organizational choice as an agent-based model. In the original model, the members of an organization can postpone decision-making. We add another means for avoiding making decisions, that of buck-passing difficult problems to colleagues. We find that selfish individual behavior, such as postponing decision-making and buck-passing, does not necessarily imply dysfunctional consequences for the organizational level. The simulation experiments confirm and extend some of the most interesting conclusions of the Garbage Can model: Most decisions are made without solving any problem, organization members face the same old problems again and again, and the few problems that are solved are generally handled at low hierarchical levels. These findings have an implication that was overseen in the original model, namely, that top executives need not be good problem-solvers.Organizational Decision Making; Garbage Can Model; Postponing Decisions; Buck-Passing

    A mathematical theory of evidence for G.L.S. Shackle

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    Evidence Theory is a branch of mathematics that concerns the combination of empirical evidence in an individual's mind in order to construct a coherent picture of reality. Designed to deal with unexpected empirical evidence suggesting new possibilities, evidence theory has a lot in common with Shackle's idea of decision-making as a creative act. This essay investigates this connection in detail, pointing to the usefulness of evidence theory to formalise and extend Shackle's decision theory. In order to ease a proper framing of the issues involved, evidence theory is not only compared with Shackle's ideas but also with additive and sub-additive probability theories. Furthermore, the presentation of evidence theory does not refer to the original version only, but takes account of its most recent developments, too.

    A Cognitive Model of the Learning Curve

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    This article provides a cognitive foundation of the parameters that regulate a model of the learning curve. Organizational learning and its actual occurrence are linked to the number of available categories and to the amount of information to be processed.Learning Curve, Organization of Production, Team Work

    Either, Or. Exploration of an Emerging Decision Theory.

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    A novel decision theory is emerging out of sparse findings in economics, mathematics and, most importantly, psychology and computational cognitive science. It rejects a fundamental assumption of the theory of rational decision-making, namely, that uncertain belief rests on independent assessment of utility and probability, and includes envisioning possibilities within its scope. Several researchers working with these premises, independently of one another, arrived at the conclusion that decision is made by highlighting the positive features of the alternative that will be chosen while opposing it to a loosing alternative, whose unpleasant aspects have been stressed. This article frames together contributions from different disciplines, often unknown to one another, with the hope of improving the coordination of research efforts. Furthermore, it discusses the status of the novel theory with respect to our current idea of rationality.Rationality; Shackle; Shafer; Search for Dominant Structure; Differentiation -- Consolidation; Constraint Satisfaction Networks; Construction of Narratives

    A Model of Primary and Secondary Waves in Investment Cycles

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    Schumpeter maintained that oscillations of macroeconomic variables are only the "secondary wave" of business cycles, a reflex of more fundamental "primary waves" at the microeconomic level caused by the innovative activity of entrepreneurs. Uniting Schumpeter's concern for innovation with Keynes' concern for uncertainty and expectations formation, this article focuses on the behaviour of entrepreneurs confronting uncertainty caused by innovation. Entrepreneurs' behaviour is reconstructed by modelling the functioning of their cognitive processes when innovations appear. Recognition of the possibilities opened up by a successful innovation generates a state of optimism in the minds of single entrepreneurs, which eventually propagates to the whole economy triggering an investments upswing. likewise, unsuccessful innovations can trigger a downswing.Uncertainty, Innovation, Investments, Cognitive Processes

    Credit Rationing and Internal Ratings in the face of Innovation and Uncertainty

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    Some empirical investigations are pointing to the fact that high-tech firms are subject to credit rationing to a higher extent than the average. This excess of credit rationing may not be due to information asymmetries, but rather to the inability of credit institutions to screen projects in novel fields. This article provides a model of this phenomenon and explores its implications in the light of recent changes in the screening procedures of major banks. In particular, the changes to be made in order to comply with the ``Basel II'' accord emphasize the impact of screening procedures on credit rationing.Credit rationing, High-Tech Firms, Internal Rating Systems, Basel II

    Recognizing Investment Opportunities at the Onset of Recoveries

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    Investment decision-making is modeled by means of a Kohonen neural net, where neurons represent firms. This is done in order to model investments in novel fields of economic activity, that according to this model are carried out when firms recognize the emergence of a new technological pattern. Combination of the equations of Kohonen model neuron with macroeconomic relationships yields disaggregated accelerator equations with flexible coefficients, that in the aggregate and fixed- coefficients case boil down to traditional accelerator equations. A simulation tests the model in a situation that is remindful of the very beginning of economic recoveries.Accelerator, Investment, Neural Nets, Cognition

    Utility, games, and narratives

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    This paper provides a general overview of theories and tools to model individual and collective decision-making. In particular, stress is laid on the interaction of several decision-makers. A substantial part of this paper is devoted to utility maximization and its application to collective decision-making, Game Theory. However, the pitfalls of utility maximization are thoroughly discussed, and the radically alternative approach of viewing decision-making as constructing narratives is presented with its emerging computational tools.Interactions, Collective Decision-Making

    A Model of Vacancy Chains as a Mechanism for Resource Allocation

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    Vacancy chains can be tracked in any context where a the availability of a desirable resource triggers a cascade of occupations through which the scarce resource flows through different owners. However, under certain conditions vacancy chains, rather than markets or other forms of competition, \emph{determine} the allocation of the resource. This article develops a formal and computational model of vacancy chains as a mechanism for resource allocation in order to find out their properties with respect to organizational forms. We find that hierarchies with few middle managers are particularly prone to make use of vacancy chains in order to allocate resources that originate at the top, such as employment positions. In fact, vacancy chains often disappear when information is widely available, because information is likely to attract applicants who engage in a competition. Thus, the many middle managers of a thick organization may compete for a resource that originates at the top. On the contrary, organizations that are thick at the bottom and at the top, but thin in the middle, are most likely to regulate resource allocation by means of vacancy chains.Resource allocation, Organizational form, Labor market

    Credit Rationing in a Basic Agent-Based Model

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    A simple agent-based model of business units lending money to one another is sufficient to understand on what conditions avalanches of bankruptcies may arise. The model highlights the consequences of specialisation into money lending as well as the impact of preferential lending relations.Financial Fragility, Avalanches of Bankruptcies, Agent-Based Models
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