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The Effects of Cashierless Technology on Amazon’s Stock Price
Australian International School, Ho Chi Minh, Vietnam
- 1 Australian International School, Ho Chi Minh, Vietnam
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Abstract
The purpose of this study is to investigate how cashierless technology affects Amazon’s stock market performance using scatterplot graphics, T-tests, and regression analysis. The paper analyses changes in Amazon stock return and volatility before and after the launch of cashierless technology in Amazon’s first grocery store. The results show a significant decrease in volatility, which suggests that the market sees the cashierless technology as a way to make things more stable. But there isn’t a statistically significant difference in stock returns, indicating that while innovation may influence risk perception, it does not necessarily translate into short-term gains.
KeywordsCashierless TechnologyVolatilityAmazon’s Grocery StoresStock ReturnsFinancial Market
- Agrawal, S. R., & Mittal, D. (2024). Cashier-Free Checkout System: To Improve In-Store Shopping Experience. International Journal of Retail & Distribution Management, 52, 612-625. https://doi.org/10.1108/ijrdm-09-2023-0539
- Ashraf, A. R., Thongpapanl, N., & Auh, S. (2014). The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption. Journal of International Marketing, 22, 68-93. https://doi.org/10.1509/jim.14.0065
- Gazzola, P., Grechi, D., Martinelli, I., & Pezzetti, R. (2022). The Innovation of the Cashierless Store: A Preliminary Analysis in Italy. Sustainability, 14, Article 2034. https://doi.org/10.3390/su14042034
- Ghazwani, S., van Esch, P., Cui, Y. G., & Gala, P. (2022). Artificial Intelligence, Financial Anxiety and Cashier-Less Checkouts: A Saudi Arabian Perspective. International Journal of Bank Marketing, 40, 1200-1216. https://doi.org/10.1108/ijbm-09-2021-0444
- Green, K. M. (2021). Super-Big Market-Data: A Case Study, Walkthrough Approach to Amazon Go Cashierless Convenience Stores . Doctoral Dissertation, University of Illinois at Chicago.
- Kim, J., Kwon, H. E., Lee, D., Lee, H., & Lee, K. (2025). From Human Cashiers to Machine: An Empirical Analysis of Self-Service Technologies in the Retail Stores. In Proceedings of the 58th Hawaii International Conference on System Sciences (pp. 1-10).
- Kwon, J., & Ahn, J. (2023). Effects of Perceived Values on Affective and Conative Attitudes in Cashierless Store Services. International Journal of Quality and Service Sciences, 15, 259-272. https://doi.org/10.1108/ijqss-11-2022-0118
- Lee, R. Y., Chai, T. Y., Chua, S. Y., Lai, Y. L., Wai, S. Y., & Haw, S. C. (2022). Cashierless Checkout Vision System for Smart Retail Using Deep Learning. Journal of System and Management Sciences, 12, 232-250.
- Lin, P. H., Lin, C. Y., Hung, C. T., Chen, J. J., & Liang, J. M. (2020). The Autonomous Shopping-Guide Robot in Cashier-Less Convenience Stores. Proceedings of Engineering and Technology Innovation, 14, 9-15. https://doi.org/10.46604/peti.2020.3961
- Nassar, M., Itani, A., Karout, M., El Baba, M., & Kaakaji, O. A. S. (2019). Shoplifting Smart Stores Using Adversarial Machine Learning. In 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA) (pp. 1-6). IEEE. https://doi.org/10.1109/aiccsa47632.2019.9035236
- Nouzri, O., & Ejjami, R. (2024). Integrating Artificial Intelligence in Autonomous Cashier Systems: A Study on Functional Schema Design and Its Impact on Supermarket Operations. Journal of Next-Generation Research 5.0, 1 , 1-25. https://doi.org/10.70792/jngr5.0.v1i1.9