Artificial Intelligence: The Attitude of the Public and Representatives of Various Industries

Tatjana Vasiljeva, Ilmars Kreituss and Ilze Lulle
Additional contact information
Tatjana Vasiljeva: Faculty of Business and Economics, RISEBA University of Applied Sciences, LV-1048 Riga, Latvia
Ilmars Kreituss: Faculty of Business and Economics, RISEBA University of Applied Sciences, LV-1048 Riga, Latvia
Ilze Lulle: Faculty of Business and Economics, RISEBA University of Applied Sciences, LV-1048 Riga, Latvia

JRFM, 2021, vol. 14, issue 8, 1-17

Abstract: This paper looks at public and business attitudes towards artificial intelligence, examining the main factors that influence them. The conceptual model is based on the technology–organization–environment (TOE) framework and was tested through analysis of qualitative and quantitative data. Primary data were collected by a public survey with a questionnaire specially developed for the study and by semi-structured interviews with experts in the artificial intelligence field and management representatives from various companies. This study aims to evaluate the current attitudes of the public and employees of various industries towards AI and investigate the factors that affect them. It was discovered that attitude towards AI differs significantly among industries. There is a significant difference in attitude towards AI between employees at organizations with already implemented AI solutions and employees at organizations with no intention to implement them in the near future. The three main factors which have an impact on AI adoption in an organization are top management’s attitude, competition and regulations. After determining the main factors that influence the attitudes of society and companies towards artificial intelligence, recommendations are provided for reducing various negative factors. The authors develop a proposition that justifies the activities needed for successful adoption of innovative technologies.

Keywords: artificial intelligence (AI); public attitude; industry representatives’ attitude; TOE framework; innovative technology; ICT industry (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1911-8074/14/8/339/pdf (application/pdf)
https://www.mdpi.com/1911-8074/14/8/339/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jjrfmx:v:14:y:2021:i:8:p:339-:d:598239

Access Statistics for this article

JRFM is currently edited by Ms. Chelthy Cheng

More articles in JRFM from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().