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Dissertation Information for Barbara Sayles Nozik

NAME:
- Barbara Sayles Nozik

DEGREE:
- Ph.D.

DISCIPLINE:
- Library and Information Science

SCHOOL:
- University of California, Berkeley (USA) (1974)

ADVISORS:
- Michael D. Cooper

COMMITTEE MEMBERS:
- Patrick Wilson
- Leonard A. Marascuilo

MPACT Status: Fully Complete

Title: A stochastic model to predict demand for library services

Abstract: The problem which this dissertation focuses upon is whether the demand for library and information retrieval system services can be predicted. the prediction tool is a modified Markov model which consists of a set of equations that describe the net migrations of dour groups of users. These groups are: (1) experimentalists, (2) repeat users, (3) latent users, and (4) dropouts. The past information gathering behavior preference patterns of the individual users serve as input. The output of this model, the prediction of demands, is in terms of the total numbers of current active and inactive users for each projected time period. Besides making systems managers cognizant of these two main types of users, the active and the inactive, who support a system, this model, also demonstrates the effects of the trial rates and the repeat use rates upon the future success of the service, i.e., success in terms of continues use of the system. The library Demand Model is applied to several different types of existing information and library services, (e.g., book delivery system, on-line bibliographic retrieval systems), to ascertain its capabilities.

MPACT Scores for Barbara Sayles Nozik

A = 0
C = 0
A+C = 0
T = 0
G = 0
W = 0
TD = 0
TA = 0
calculated 2008-05-30 12:35:27

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