Fortv: Decision Support System for Forecasting Television Viewership

The television industry is growing at an exponential rate. The television stations try to gain more and more viewers in order to increase their market share. In this stage comes the need for a decision support system that helps them forecast their viewership as well as plan their program. In this pa...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of computer information systems 2003-09, Vol.43 (4), p.100-107
Main Authors: Patelis, A., Metaxiotis, K., Nikolopoulos, K., Assimakopoulos, V.
Format: Article
Language:English
Subjects:
Audiences
Competition
Consumer behavior
Decision support systems
Forecasting
Holidays & special occasions
Lifestyles
Market shares
Studies
television
Television broadcasting
Television stations
Time series
total viewership
Viewers
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The television industry is growing at an exponential rate. The television stations try to gain more and more viewers in order to increase their market share. In this stage comes the need for a decision support system that helps them forecast their viewership as well as plan their program. In this paper we are proposing a system for forecasting viewership. The modeling approach simulates the viewer's decision process, which is composed of two different components. The first component is the Total Viewership, which employs time series, and the second component is the Competitive Environment, which employs the market response models.
ISSN:0887-4417
2380-2057
DOI:10.1080/08874417.2003.11647539