Internet Advertising Redefines the Performance of Companies

Media Watch ◽  
2021 ◽  
Vol 12 (2) ◽  
Author(s):  
OKSANA V. TRETYAKOVA
Keyword(s):  
PsycCRITIQUES ◽  
2007 ◽  
Vol 52 (44) ◽  
Author(s):  
Brian Higley ◽  
Kira L. Schwabe ◽  
Brian J. Mistler
Keyword(s):  

2014 ◽  
Vol 12 (9) ◽  
pp. 3921-3926
Author(s):  
Ritha Prakash ◽  
Nivetha Martin

In recent times, we are witnessing the technological revolution which provides access to tremendous changes in all the fields including the industrial sectors. The notable benefit of the modern technology is quick accomplishment of complex tasks within a short span of time, which has motivated the manufacturers to imbibe novelty techniques in the production process to enhance the quality of the product so as to retain its market position amidst the competitors. As globalization has gained more concern, the manufacturers employ internet advertising strategy to elevate the product to international level and to propagate the attributes of the products to the customers residing worldwide. In this paper an EPQ inventory model is developed in which the associated costs of technology, acquisition of local and international customers via internet advertising costs are included, a numerical example is also presented to validate the model.


2017 ◽  
Vol 60 (10) ◽  
pp. 70-79 ◽  
Author(s):  
Stephen B. Wicker ◽  
Kolbeinn Karlsson
Keyword(s):  

2017 ◽  
Vol 2017 (2) ◽  
pp. 133-148 ◽  
Author(s):  
Justin Brookman ◽  
Phoebe Rouge ◽  
Aaron Alva ◽  
Christina Yeung

Abstract Internet advertising and analytics technology companies are increasingly trying to find ways to link behavior across the various devices consumers own. This cross-device tracking can provide a more complete view into a consumer’s behavior and can be valuable for a range of purposes, including ad targeting, research, and conversion attribution. However, consumers may not be aware of how and how often their behavior is tracked across different devices. We designed this study to try to assess what information about cross-device tracking (including data flows and policy disclosures) is observable from the perspective of the end user. Our paper demonstrates how data that is routinely collected and shared online could be used by online third parties to track consumers across devices.


Sign in / Sign up

Export Citation Format

Share Document