Transferring Decision Support Concepts to Evaluation.

Vicki L. Sauter; Marvin B. Mandell

doi:10.1016/0149-7189(90)90019-S

Transferring Decision Support Concepts to Evaluation.

Vicki L. Sauter, Marvin B. Mandell

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Abstract

A substantial body of empirical evidence indicates that decision support systems (DSS) are effective tools for increasing the utilization of management science models and accounting information. Our basic argument is that applying the conceptual foundations of DSS to evaluation and other forms of applied social research (ASR) is a potentially effective means of increasing the utilization of the results of these analyses in policy making. The two bases for this basic argument are: (a) analytical uncertainty is inevitably present in evaluation and other forms of ASR, and (b) the conceptual foundations of DSS provide a better means of coping with analytical uncertainty than are otherwise available.

Original language	American English
Journal	Evaluation and Program Planning
Volume	13
DOIs	https://doi.org/10.1016/0149-7189(90)90019-S
State	Published - Jan 1 1990

Disciplines

Management Sciences and Quantitative Methods
Library and Information Science
Engineering

Access to Document

10.1016/0149-7189(90)90019-SLicense: Unspecified

Cite this

@article{3e7d135063e1461fb765dbf2ffebd511,

title = "Transferring Decision Support Concepts to Evaluation.",

abstract = " A substantial body of empirical evidence indicates that decision support systems (DSS) are effective tools for increasing the utilization of management science models and accounting information. Our basic argument is that applying the conceptual foundations of DSS to evaluation and other forms of applied social research (ASR) is a potentially effective means of increasing the utilization of the results of these analyses in policy making. The two bases for this basic argument are: (a) analytical uncertainty is inevitably present in evaluation and other forms of ASR, and (b) the conceptual foundations of DSS provide a better means of coping with analytical uncertainty than are otherwise available.",

author = "Sauter, {Vicki L.} and Mandell, {Marvin B.}",

note = "A substantial body of empirical evidence indicates that decision support systems (DSS) are effective tools for increasing the utilization of managemen...",

year = "1990",

month = jan,

day = "1",

doi = "10.1016/0149-7189(90)90019-S",

language = "American English",

volume = "13",

journal = "Evaluation and Program Planning",

}

TY - JOUR

T1 - Transferring Decision Support Concepts to Evaluation.

AU - Sauter, Vicki L.

AU - Mandell, Marvin B.

N1 - A substantial body of empirical evidence indicates that decision support systems (DSS) are effective tools for increasing the utilization of managemen...

PY - 1990/1/1

Y1 - 1990/1/1

N2 - A substantial body of empirical evidence indicates that decision support systems (DSS) are effective tools for increasing the utilization of management science models and accounting information. Our basic argument is that applying the conceptual foundations of DSS to evaluation and other forms of applied social research (ASR) is a potentially effective means of increasing the utilization of the results of these analyses in policy making. The two bases for this basic argument are: (a) analytical uncertainty is inevitably present in evaluation and other forms of ASR, and (b) the conceptual foundations of DSS provide a better means of coping with analytical uncertainty than are otherwise available.

AB - A substantial body of empirical evidence indicates that decision support systems (DSS) are effective tools for increasing the utilization of management science models and accounting information. Our basic argument is that applying the conceptual foundations of DSS to evaluation and other forms of applied social research (ASR) is a potentially effective means of increasing the utilization of the results of these analyses in policy making. The two bases for this basic argument are: (a) analytical uncertainty is inevitably present in evaluation and other forms of ASR, and (b) the conceptual foundations of DSS provide a better means of coping with analytical uncertainty than are otherwise available.

UR - https://www.sciencedirect.com/science/article/pii/014971899090019S

U2 - 10.1016/0149-7189(90)90019-S

DO - 10.1016/0149-7189(90)90019-S

M3 - Article

VL - 13

JO - Evaluation and Program Planning

JF - Evaluation and Program Planning

ER -

Transferring Decision Support Concepts to Evaluation.

Abstract

Disciplines

Access to Document

Other files and links

Cite this