Ranking of the suitability of investment for online sales in different fields of clothing in Shiraz City using the Data Envelopment Analysis method
الموضوعات : International Journal of Data Envelopment Analysis
Mehdi Abbasi
1
,
Ali Doroodchi
2
1 - Department of Industrial Engineering, Islamic Azad University, Shiraz, Iran
2 - Department of Industrial Engineering, Najafabad University, Isfahan, Iran
الکلمات المفتاحية: Ranking, investment appropriateness, online sales, data envelopment analysis, Andersen-Peterson model.,
ملخص المقالة :
One of the common concerns of investors is determining the suitable field for investment. Due to the attractiveness of online sales in various fields such as clothing, newcomers and even existing companies tend usually to sell online. In this research, the rank of the suitability of an investment for online sales in different fields of clothing in Shiraz City was determined using the data envelopment analysis method. In the beginning, we form an expert team. Also, we recognized ten fields of clothing as investment alternatives for online sales (DMUs). Then, we defined suitable inputs and outputs by reviewing the literature and obtaining the opinions of expert team members. Also, we determine an epsilon-based input-oriented BCC model as a suitable DEA model for DMU ranking. Then, we obtained the input and output values from the expert team members and considered the average values as the inputs and outputs of the DEA models. Formulating and solving epsilon-based input-oriented BCC models showed that three DMUs were inefficient, and the other seven DMUs were efficient. Therefore, the rank of these three DMUs was determined. Next, to determine the rank of the other seven DMUs, we formed and solved the Andersen-Peterson epsilon-based input-oriented BCC models. The results of solving the DEA models showed that the fields of "Designing, producing, and selling of wedding dresses", "Designing, producing, and selling suits and formal dresses", and "Designing, producing, or selling local clothing" have the first to third ranks, respectively.
[1] Barthes, R. (1990). The fashion system. Univ of California Press.
[2] Serrano-Cinca, C., Fuertes-Callén, Y., & Mar-Molinero, C. (2005). Measuring DEA efficiency in Internet companies. Decision Support Systems, 38(4), 557-573.
[3] Ho, C. T., Liao, C. K., & Kim, H. T. (2011). Valuing internet companies: A DEA-based multiple valuation approach. Journal of the operational research society, 62(12), 2097-2106.
[4] Pourghafar Maghfertay, Amid, Pishgar, Forooz, & Gharakhani, Davood. (2014). Providing a conceptual model to evaluate the performance of R&D departments of manufacturing companies with the approach of DEA/AHP (case study: Gilan province). Journal of Industrial Management, 9 (Special Issue On Management and Accounting), 25-40 (in Persian).
[5] Lawrence, K. D., Kudbya, S., Klimberg, R. K., & Lawrence, S. (2013). A DEA efficiency analysis of operating units within electronic shopping stores. In Applications of Management Science (pp. 107-115). Emerald Group Publishing Limited.
[6] Bay, A., & Wincasa, A. G. (2015). Efficiency measurement of Swiss shopping centers using Data Envelopment Analysis (DEA) (No. eres2015-53). European Real Estate Society (ERES).
[7] Qiuping, L. (2016). Research on the customer satisfaction in electronic business environment based on DEA method: an empirical analysis. International Journal of Smart Home, 10(4), 267-278.
[8] Salari Boron, M., & Zandieh, M. (2016). Measuring the efficiency of internet shops using a multi stages Data Envelopment Analysis (DEA) model. Management Research in Iran, 20(3), 127-151 (in Persian).
[9] Liu, T., & Chen, J. (2016). The Research on Marketing Efficiency of WeChat Mall Enterprises Based on DEA Method.
[10] Zandieh, M., & Salari Boron, M. (2021). Measuring the efficiency of internet shops using a multi stages Data Envelopment Analysis (DEA) model. Management Research in Iran, 20(3), 127-152 (in Persian).
[11] Lins, M. E., do Nascimento, L. F., Dulá, J. H., Torres, N. T., & Lins, A. E. (2022). Public bidding in government procurement-A new methodology for ranking proposals using Full Dimensional Efficient Facets of DEA Frontier. Available at SSRN 4142123.
[12] Krejnus, M., Stofkova, J., Stofkova, K. R., & Binasova, V. (2023). The use of the DEA method for measuring the efficiency of electronic public administration as part of the digitization of the economy and society. Applied Sciences, 13(6), 3672.
[13] Wang, Y., Qiu, G., Wang, J., & Sun, Q. (2023). Enhanced Dynamic Network DEA: A Novel Algorithm for Sustainable Development Efficiency Assessment in “Internet Plus Logistics” Sector. Complexity, 2023(1), 2707585.
[14] Mehrabian, S., Jahanshahloo, G. R., Alirezaee, M. R., & Amin, G. R. (2000). An assurance interval for the non-Archimedean epsilon in DEA models. Operations Research, 48(2), 344-347.
[15] Andersen, Per., Petersen, Niels Christian. “A procedure for ranking efficient units in data envelopment analysis”. Management Science, 39(10), pp. 1261-1264 (1993).
