The Impact of TV Ads on the Individual User's Purchasing Behavior

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

The Impact of TV Ads on the Individual User's Purchasing Behavior. / Stange, Martin.
Thirty Sixth International Conference on Information Systems, Fort Worth 2015: ICIS 2015 Proceedings. Hrsg. / Accociation for Information Systems. AIS eLibrary, 2015.

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Stange, M 2015, The Impact of TV Ads on the Individual User's Purchasing Behavior. in AFIS (Hrsg.), Thirty Sixth International Conference on Information Systems, Fort Worth 2015: ICIS 2015 Proceedings. AIS eLibrary, 12. Internationalen Tagung Wirtschaftsinformatik - WI 2015, Osnabrück, Deutschland, 04.03.15. <https://aisel.aisnet.org/icis2015/proceedings/DecisionAnalytics/9/>

APA

Stange, M. (2015). The Impact of TV Ads on the Individual User's Purchasing Behavior. In A. F. I. S. (Hrsg.), Thirty Sixth International Conference on Information Systems, Fort Worth 2015: ICIS 2015 Proceedings AIS eLibrary. https://aisel.aisnet.org/icis2015/proceedings/DecisionAnalytics/9/

Vancouver

Stange M. The Impact of TV Ads on the Individual User's Purchasing Behavior. in AFIS, Hrsg., Thirty Sixth International Conference on Information Systems, Fort Worth 2015: ICIS 2015 Proceedings. AIS eLibrary. 2015

Bibtex

@inbook{a11b793c6cd94052af8a37eceb1d24df,
title = "The Impact of TV Ads on the Individual User's Purchasing Behavior",
abstract = "The importance of a well-balanced cross-channel marketing strategy has increased over the past few years. The synergies caused by the interdependencies of different online channels, such as e-mail advertising, search engine and banner advertising, have also drawn the attention of many researchers. However, relatively little is known about the impact of offline marketing, such as TV advertising, on online user behavior. In this article, a model commonly used in clickstream analysis is extended by adding several TV advertising variables. Based on this model, a hierarchical Bayesian logistic model is developed to estimate the cross-channel effects of both offline and online channel contacts. By applying this model to a case study, it is shown which online channels are most supported by television ads. The findings of this paper have managerial implications for practitioners in the field, in particular because of the increasing use of a so-called “second screen” while watching TV.",
keywords = "Business informatics",
author = "Martin Stange",
year = "2015",
month = dec,
day = "15",
language = "English",
isbn = "978-0-9966831-1-1",
editor = "{Accociation for Information Systems}",
booktitle = "Thirty Sixth International Conference on Information Systems, Fort Worth 2015",
publisher = "AIS eLibrary",
address = "United States",
note = "12. Internationalen Tagung Wirtschaftsinformatik - WI 2015 ; Conference date: 04-03-2015 Through 06-03-2015",
url = "https://www.wi2015.de/home/, https://www.wi2015.de/home/",

}

RIS

TY - CHAP

T1 - The Impact of TV Ads on the Individual User's Purchasing Behavior

AU - Stange, Martin

N1 - Conference code: 12

PY - 2015/12/15

Y1 - 2015/12/15

N2 - The importance of a well-balanced cross-channel marketing strategy has increased over the past few years. The synergies caused by the interdependencies of different online channels, such as e-mail advertising, search engine and banner advertising, have also drawn the attention of many researchers. However, relatively little is known about the impact of offline marketing, such as TV advertising, on online user behavior. In this article, a model commonly used in clickstream analysis is extended by adding several TV advertising variables. Based on this model, a hierarchical Bayesian logistic model is developed to estimate the cross-channel effects of both offline and online channel contacts. By applying this model to a case study, it is shown which online channels are most supported by television ads. The findings of this paper have managerial implications for practitioners in the field, in particular because of the increasing use of a so-called “second screen” while watching TV.

AB - The importance of a well-balanced cross-channel marketing strategy has increased over the past few years. The synergies caused by the interdependencies of different online channels, such as e-mail advertising, search engine and banner advertising, have also drawn the attention of many researchers. However, relatively little is known about the impact of offline marketing, such as TV advertising, on online user behavior. In this article, a model commonly used in clickstream analysis is extended by adding several TV advertising variables. Based on this model, a hierarchical Bayesian logistic model is developed to estimate the cross-channel effects of both offline and online channel contacts. By applying this model to a case study, it is shown which online channels are most supported by television ads. The findings of this paper have managerial implications for practitioners in the field, in particular because of the increasing use of a so-called “second screen” while watching TV.

KW - Business informatics

UR - http://aisel.aisnet.org/icis2015/proceedings/DecisionAnalytics/9/

M3 - Article in conference proceedings

SN - 978-0-9966831-1-1

BT - Thirty Sixth International Conference on Information Systems, Fort Worth 2015

A2 - , Accociation for Information Systems

PB - AIS eLibrary

T2 - 12. Internationalen Tagung Wirtschaftsinformatik - WI 2015

Y2 - 4 March 2015 through 6 March 2015

ER -