The specific objective of the present study is to develop and test an early-stage, empirical model for predicting the audience of new television series. We test our model on a sample of 107 new dramatic television series that debuted on one of the four major US television networks during the 2010-2014 seasons. In particular we examine the role of three previously untested predictors of the performance of new television shows, all of which can be known prior to the decision to greenlight the pilot script. Those three are the originality of the concept of the show, the track record of success of the show’s creative team, and the size of the conceptual network created from the teleplay of the pilot episode
Predicting future television audience based on past data is a statistical marketing exercise of grea...
Call number: LD2668 .R4 JMC 1989 S53Master of ScienceJournalism and Mass Communication
In the last few years, Netflix has set itself as a true player in U.S. television industry, fosterin...
The specific objective of the present study is to develop and test an early-stage, empirical model f...
In this study we develop an empirical model to explain failure rates of new television series. Speci...
Empirical studies of the determinants of the ratings of new television series have focused almost ex...
Broadcast and cable networks are struggling to keep up with the multitude of entertainment options a...
The following written report details the guiding research, methodology, results, and future implicat...
Despite the state of flux in media today, television remains the dominant player globally for advert...
Each year, television studios spend millions of dollars to develop pilot episodes for new shows. The...
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Syste...
Marketing research in audiovisual production: pretesting of television pilots" aims to describe proc...
TV series represent a growing sector of the entertainment industry. Being able to predict their perf...
Textual and content data were extracted from the pilot episode scripts of 183 new, dramatic televisi...
The script of a movie, or of an episode of a television series, describes the setting, the storyline...
Predicting future television audience based on past data is a statistical marketing exercise of grea...
Call number: LD2668 .R4 JMC 1989 S53Master of ScienceJournalism and Mass Communication
In the last few years, Netflix has set itself as a true player in U.S. television industry, fosterin...
The specific objective of the present study is to develop and test an early-stage, empirical model f...
In this study we develop an empirical model to explain failure rates of new television series. Speci...
Empirical studies of the determinants of the ratings of new television series have focused almost ex...
Broadcast and cable networks are struggling to keep up with the multitude of entertainment options a...
The following written report details the guiding research, methodology, results, and future implicat...
Despite the state of flux in media today, television remains the dominant player globally for advert...
Each year, television studios spend millions of dollars to develop pilot episodes for new shows. The...
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Syste...
Marketing research in audiovisual production: pretesting of television pilots" aims to describe proc...
TV series represent a growing sector of the entertainment industry. Being able to predict their perf...
Textual and content data were extracted from the pilot episode scripts of 183 new, dramatic televisi...
The script of a movie, or of an episode of a television series, describes the setting, the storyline...
Predicting future television audience based on past data is a statistical marketing exercise of grea...
Call number: LD2668 .R4 JMC 1989 S53Master of ScienceJournalism and Mass Communication
In the last few years, Netflix has set itself as a true player in U.S. television industry, fosterin...