Using Artificial Intelligence for Retail Value Chain

Aigerim Burakhanova, Gulshat Baizhaxynova, Aizhan Duisebayeva, Maira Davletova and Botagoz Nurakhova
Additional contact information
Aigerim Burakhanova: Narxoz University, Kazakhstan
Gulshat Baizhaxynova: Almaty Management University, Kazakhstan
Aizhan Duisebayeva: Narxoz University, Kazakhstan
Maira Davletova: Turan University, Kazakhstan
Botagoz Nurakhova: Narxoz University, Kazakhstan

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2023, vol. 14, issue 1, 1-21

Abstract: The present study aims to prove hypotheses regarding artificial intelligence integration in retail value chains in the post-Soviet economic space. Hypotheses were proven within a comprehensive research project based on the use of quantitative research methods (questionnaires), which allowed studying the opinions of 512 retail managers in Azerbaijan, Kazakhstan, and Tajikistan. A specially designed questionnaire eliminated ambiguity in results interpretation by including both simple closed questions with a single choice and questions using a Likert scale. All the formulated hypotheses were proven, leading to the conclusion that the retail market of the post-Soviet economic space is not ready for the introduction of robotization and full automation of retail stores. The study results can be used by retail managers in the post-Soviet economic space as they choose the direction of artificial intelligence integration.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... .4018/IJSSMET.330018 (application/pdf)

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:igg:jssmet:v:14:y:2023:i:1:p:1-21

Access Statistics for this article

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is currently edited by Ahmad Taher Azar

More articles in International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) from IGI Global
Bibliographic data for series maintained by Journal Editor ().