EMPLOYEE UNDERSTANDING OF ARTIFICIAL INTELLIGENCE: A PRELIMINARY STUDY IN INDONESIA FINANCIAL SECTOR INDUSTRY

Hayu Prabowo; Nuri Wulandari; Siska Wulandari

doi:10.29358/sceco.v0i38.559

EMPLOYEE UNDERSTANDING OF ARTIFICIAL INTELLIGENCE: A PRELIMINARY STUDY IN INDONESIA FINANCIAL SECTOR INDUSTRY

Authors

Hayu Prabowo
Nuri Wulandari
Siska Wulandari

DOI:

https://doi.org/10.29358/sceco.v0i38.559

Keywords:

artificial intelligence, marketing, knowledge management, financial industry, banking, fintech

Abstract

The emergence of artificial intelligence (AI) in the financial services industry is driven by increased demand for financial regulation, the need for profitability, and competition between companies. Despite the heightened importance of this new technology, there has been a gap in knowledge regarding the use of AI in financial services. This study aims to provide preliminary research to explore the level of understanding of middle level managers in the context of artificial intelligence usage in marketing activities. The sample is 11 managers from banking, fintech and other financial sectors. The findings provide guidance for organizations in terms of usage and knowledge of AI in the sector.

Downloads

Download data is not yet available.

Downloads

Published

30.12.2023

Issue

No. 38 (2023)

Section

Articles

License

Authors who publish with this journal agree to the following terms:

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

How to Cite

Prabowo, H., Wulandari, N., & Wulandari, S. (2023). EMPLOYEE UNDERSTANDING OF ARTIFICIAL INTELLIGENCE: A PRELIMINARY STUDY IN INDONESIA FINANCIAL SECTOR INDUSTRY. Studies and Scientific Researches. Economics Edition, 38. https://doi.org/10.29358/sceco.v0i38.559