Author
Listed:
- Bogdan Gregor
(Faculty of Management, University of Lodz)
- Beata Gotwald
(Faculty of Management, University of Lodz)
Abstract
Purpose: The aim of the article is an attempt to answer the question of customers’ knowledge on AI and its application in marketing. Design/methodology/approach: In-depth interviews with 203 people (residents of Lodzkie and Mazowieckie voivodships) who visited a science center at least once were conducted in 2019. In the sampling, the snowball effect was used. The problems concerning artificial intelligence were a part of bigger research (other matters were focused on omnichannel environment and wearables). Findings: The research results showed that respondents understand the term “artificial intelligence” (AI) in a highly intuitive manner, which often remains in conflict with the classical meaning of the term. The perception of scope and usage of AI is based mainly on stereotypes and representations sourced in mass media. The main advantages of AI noticed by respondents were time savings and offers better adjusted to their needs, while the major disadvantages were the limitation of choice in terms of preferred products (for example, during online shopping) and threats of data leaks. Respondents were supporters of usage of AI in marketing in the scope limited by law. Research limitations/implications: The usage of non-probabilistic sampling, a relatively small sample and the usage of qualitative analysis methods were major limitations of the conducted research. As the research resorted only to the people with previous experiences with science centers’ offer, the possibility to generalize research results was restricted (due to the specific profile of those entities’ customers). Originality/value: The presented paper is a part of the research area related to the usage of new technologies in cultural institutions, especially science centers’ marketing activities. The research was aimed at diagnosing how respondents understand the term “artificial intelligence” and what their attitude towards the usage of AI in marketing is. The cognitive value of the paper might also be seen in the focus on a relatively narrow and homogenous group of respondents (science centers’ customers). The reason is relatively low popularity of research in that group and their bigger knowledge and technology acceptance (as compared to the general public).
Suggested Citation
Bogdan Gregor & Beata Gotwald, 2021.
"Perception of Artificial Intelligence by Customers of Science Centers (Percepcja sztucznej inteligencji przez klientow centrów nauki),"
Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 19(91), pages 29-38.
Handle:
RePEc:sgm:pzwzuw:v:19:i:91:y:2021:p:29-38
Download full text from publisher
More about this item
Keywords
artificial intelligence;
marketing;
science centers;
All these keywords.
JEL classification:
- M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
- M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
- M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sgm:pzwzuw:v:19:i:91:y:2021:p:29-38. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/somuwpl.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.