2021
Web Personalization and Artificial Intelligence as Tools for Marketing Communications
KUPEC, Michael, Dagmar JAKUBÍKOVÁ and Václav KUPECBasic information
Original name
Web Personalization and Artificial Intelligence as Tools for Marketing Communications
Name in Czech
Personalizace internetu a umělá inteligence jako nástroje marketingové komunikace
Authors
KUPEC, Michael (guarantor), Dagmar JAKUBÍKOVÁ (203 Czech Republic) and Václav KUPEC (203 Czech Republic, belonging to the institution)
Edition
Media Literacy and Academic Research, Trnava, FMK UCM, 2021, 2585-9188
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
50204 Business and management
Country of publisher
Slovakia
Confidentiality degree
is not subject to a state or trade secret
References:
RIV identification code
RIV/04274644:_____/21:#0000813
Organization unit
University of Finance and Administration
UT WoS
000769648400007
Keywords (in Czech)
Internet; Komunikace; Management; Marketing; Personalizace; Umělá inteligence.
Keywords in English
Internet; Personalization; Artificial intelligence; Management; Marketing; Communication.
Tags
Tags
International impact, Reviewed
Changed: 17/9/2024 08:00, Bc. Jan Peterec
V originále
Market relationships have undergone profound changes in the past two decades, which have been accelerated by the crisis of the global pandemic. This has led to a fundamental transformation in the communications not only of businesses but also of governments, organizations, and communities. This study addresses web personalization with an emphasis on artificial intelligence in the context of their use for managing and decision-making in marketing processes in practice. These two techniques tend to be often confused in practice, and for this reason it is helpful to define their positions and mutual interactions. The goal of this article is a theoretical comparison of web personalization and artificial intelligence as part of marketing processes and the proposal of a framework for their use for creators of any online media content. At the same time it sheds light on the meaning and use of web personalization for management in practice and in particular in marketing processes and proposes a model for implementing these techniques that can be used in strategic marketing. This article presents research questions and uses secondary data analysis in the form of literature review and content analysis. The result is categorization of web personalization and artificial intelligence techniques, identifying their mutual links, and proposing an application framework for marketing practice. This article contributes to the discussion by identifying managerial use of defined techniques and their position in strategies for producers of online content and offers a new perspective on the interaction of personalization and artificial intelligence, whereas this approach has not been sufficiently explored in the academic literature.