Using Differential Model to Find the Best Time to Buy the IPhone
DOI:
https://doi.org/10.54097/w7zje949Keywords:
Model, Price, Time, Economics, Mathematics.Abstract
This research is important can help consumers find the best time to buy a new type of iPhone and help companies and manufacturers change their method to decide the price of their products. The data of the price and time are collected, and other variables like the market’s reaction are concerned. The main method is using a differential model that can find local minimums of the price curves of each kind of iPhone. All the variables are turned to a single one through building up functions. The result shows the time period between the end of the second month and the beginning of the fifth month is suitable for buying, and the fourth month is the best time. The suggestion for consumers is not to be too impatient to buy it. The suggestion for manufacturers is to produce and sell in a proper amount and price. The suggestion for market studiers is to build a similar or even better model to predict the price of similar products. Therefore, this research has great significance.
Downloads
References
[1] CKalaignanam, K., Kushwaha, T., & Swartz, T. A. (2017). The differential impact of new product development “make/buy” choices on immediate and future product quality: Insights from the automobile industry. Journal of Marketing, 81 (6), 1 - 23.
[2] Liu, Z., Zhang, M., Chen, J., & Diallo, C. (2023). Buy now or later? New or remanufactured? How to attract strategic customers. Transportation Research Part E: Logistics and Transportation Review, 172, 103068.
[3] Rhine, T. H. (2017). iOS vs. Android: Does It Still Matter? GPSolo, 34 (1), 56 – 61. http://www.jstor.org/stable/26425796.
[4] Fotopoulos, C., & Krystallis, A. (2002). Organic product avoidance: reasons for rejection and potential buyers’ identification in a countrywide survey. British food journal, 104 (3/4/5), 233 - 260.
[5] Visintin, A. (2013). Differential models of hysteresis (Vol. 111). Springer Science & Business Media.
[6] Chan, J., Pun, N., & Selden, M. (2016). APPLE, FOXCONN, AND CHINA’S NEW WORKING CLASS. In R. P. Appelbaum & N. Lichtenstein (Eds.), Achieving Workers’ Rights in the Global Economy (pp. 173–189). Cornell University Press. http://www.jstor.org/stable/10.7591/j.ctt1h4mhcm.13.
[7] Zhu, D. H., Wang, Y. W., & Chang, Y. P. (2018). The influence of online cross-recommendation on consumers’ instant cross-buying intention: The moderating role of decision-making difficulty. Internet Research, 28 (3), 604 - 622.
[8] Garcia-Swartz, D. D., Muhamedagić, M., & Saenz, D. (2019). The role of prices and network effects in the growth of the iPhone platform. Technological Forecasting and Social Change, 147, 110 - 122.
[9] Rahmati, A., Shepard, C., Tossell, C., Dong, M., Wang, Z., Zhong, L., & Kortum, P. (2011). Tales of 34 iPhone users: How they change and why they are different. arxiv preprint arxiv: 1106.5100.
[10] Sari, I. M., & Asral, A. (2025). The Effect of Brand Image, Price and Product Quality on Purchasing Decisions for Iphone Products. Golden Ratio of Marketing and Applied Psychology of Business, 5 (1), 13 - 30.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






