将人工智能应用于零售价值链

Aigerim Burakhanova, Gulshat Baizhaxynova, Aizhan Duisebayeva, Maira Davletova, Botagoz Nurakhova
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引用次数: 0

摘要

本研究旨在证明关于后苏联经济空间中零售价值链中人工智能整合的假设。在一个基于定量研究方法(问卷调查)的综合研究项目中,假设得到了证明,该研究允许研究阿塞拜疆,哈萨克斯坦和塔吉克斯坦的512名零售经理的意见。特别设计的问卷通过包括简单的单选封闭式问题和使用李克特量表的问题来消除结果解释中的歧义。所有制定的假设都得到了证明,从而得出结论:后苏联经济空间的零售市场还没有准备好引入机器人化和零售商店的完全自动化。研究结果可以为后苏联经济空间的零售管理者选择人工智能整合的方向提供参考。
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Using Artificial Intelligence for Retail Value Chain
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.
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CiteScore
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发文量
45
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