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New Foundations for Planning Models

Bibliographic Data

ID9009185
AuthorsCharles Wiseman (corresponding author)
Year1979
Volume50
Issue6
Pages726-744
Publication date1979-11-01
Open AccessNo
TypeARTICLE
VenueThe Journal of Higher Education (JOURNAL)
Journal identifiersISSN: 0022-1546 • E-ISSN: 1538-4640
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/00221546.1979.11780008
OpenAlexW2081294167
LanguageEN
Citations received1
References cited7

A planning model poses questions, requests informed judgments about the values of critical variables, and calculates the results of these judgments. It enables decisionmakers (planners, policymakers, et al.) to explore systematically a spectrum of institutionally relevant possible worlds that could become actual provided certain decisions are made and events occur. By using an interactive computer system to represent the model, one may obtain quickly and effortlessly what would demand a prohibitive expenditure of time and energy if done manually. During the past fifteen to twenty years, two kinds of models have been realized: the so-called generalized or comprehensive, purportedly suited, after appropriate tailoring, for any organization, and the individualized or home-grown, devised for a particular company, agency, or school. While evidence to support a judgment on the success or failure of individualized models as such is not presently available, empirical studies documenting the experiences of generalized model users lead to one conclusion: generalized models have failed to satisfy the promises of their designers and the hopes of their users. In the field of higher education administration, Paul Plourde in 1976 surveyed 394 schools with access to the most widely used comprehensive systems: RRPM (Resource Requirements Prediction Model), SEARCH (System for Evaluating Alternative Resource Commitments in Higher

Economics · Management science · Mathematics education · Political science · Sociology · Complex Systems and Decision Making · Psychology

  • Avoiding Extremes on the Planning Continuum

    Richard C Richardson, Don E Gardner•The Journal of Higher Education•1983

  • Exploratory data analysis

    John Wilder Tukey•Exploratory data analysis•1977

  • From a Logical Point of View

    W V Quine, Willard Van Orman Quine•From a logical point of view•1980

  • Forecasting

    William Ascher•Forecasting•1979

  • The Structure of Science

    Ernest Nagel, David Hawkins•American Journal of Physics•1961

  • La Estructura De La Ciencia

    Ernest Nagel•La Estructura De La Ciencia•2006

Citations per year0.02
Citation span1983 - 1983 (1)
Highly citedNo

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