J 2021

Web Personalization and Artificial Intelligence as Tools for Marketing Communications

KUPEC, Michael, Dagmar JAKUBÍKOVÁ and Václav KUPEC

Basic 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

International impact, Reviewed
Changed: 17/9/2024 08:00, Bc. Jan Peterec

Abstract

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.