Strategies for optimizing electronic tips service profit
Abstract
Electronic tips systems have become very popular in the era of cashless payments. With the widespread use of such services, the problem of maximizing profits has arisen, which concerns both establishments using electronic tips services and the services themselves that provide such services. Identifying factors that influence guests’ economic behavior when leaving tips will allow for the creation of an optimal strategy to increase the efficiency of the system. This study used data on the profits of the electronic tips service in public catering establishments. A simulation model was created to evaluate and compare the effectiveness of different strategies, a methodology for finding the optimal strategy was described, and a clustering of establishments was performed using analysis of variance to customize the optimal strategy.
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1. Schmider E, Ziegler M, Danay E, et al. Is it really robust? Reinvestigating the robustness of ANOVA against violations of the normal distribution assumption. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences 2010; 6(4): 147–151. doi: 10.1027/1614-2241/a000016
2. Post-hoc testing. Available online: http://bayes.acs.unt.edu:8083/BayesContent/class/Jon/ISSS_SC/Module009/isss_m91_onewayanova/node7.html (accessed on 12 June 2023).
3. Grace-Martin K. The problem with using tests for statistical assumptions. Available online: https://www.theanalysisfactor.com/the-problem-with-tests-for-statistical-assumptions/ (accessed on 12 June 2023).
4. Brown MB, Forsythe AB. Robust tests for the equality of variances. Journal of the American Statistical Association 1974; 69(346): 364–367. doi: 10.2307/2285659
5. Frost J. Using post hoc tests with ANOVA. Available online: https://statisticsbyjim.com/anova/post-hoc-tests-anova/ (accessed on 12 June 2023).
6. Games PA, Keselman HJ, Clinch JJ. Tests for homogeneity of variance in factorial designs. Psychological Bulletin 1979; 86(5): 978–984. doi: 10.1037/0033-2909.86.5.978
7. Raychaudhuri S. Introduction to Monte Carlo simulation. In: Proceedings of the 2008 Winter Simulation Conference; 7–10 December 2008; Miami, FL, USA. pp. 91–100.
8. Cribbie RA, Fiksenbaum L, Keselman HJ, Wilcox RR. Effect of non-normality on test statistics for one-way independent groups designs. British Journal of Mathematical and Statistical Psychology 2012. 65(1): 56–73. doi: 10.1111/j.2044-8317.2011.02014.x
DOI: https://doi.org/10.59400/jam.v1i2.105
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