Identification and Analysis of Prominent Indicators in the Evaluation of Export Strategies in the Cement Industry

Document Type : Regular Article


1 Assistant Professor, Faculty of Management & Accounting, Payame Noor University, Tehran, Iran

2 MSc, Faculty of Management & Accounting, Payame Noor University, Tehran, Iran


One of the export goals of the country in the above documents is to develop the export of non-oil goods and get rid of the export of raw materials. The cement industry is one of the producers of non-oil products, which has a very high potential in the field of export. Based on this, the aim of this article is to identify the appropriate indicators for evaluating export strategies in cement industries and then evaluate and determine their importance. In this article, in order to calculate the importance coefficient of indicators for evaluating export strategies in cement industry, the opinions of cement industry experts were used. And then using the Shannon technique, data analysis has been done. According to the studies and analyzes of the data obtained in this research Government and customs laws, export laws as the most optimal and best criterion or in other words the most important criterion and then cost savings are ranked as effective indicators respectively.


Main Subjects

[1]     Wu W-W. Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Syst Appl 2008;35:828–35.
[2]     Tseng ML. A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert Syst Appl 2009;36:7738–48.
[3]     Feili A, Dashtipour M, Mousavi SH. Expansion of DEMATEL Technique to Identify and Prioritize the Effective Factors on Knowledge Sharing. Ind Eng Strateg Manag 2022;1:43–58.
[4]     Zhou L, Wu A, Barnes BR. The Effects of Early Internationalization on Performance Outcomes in Young International Ventures: The Mediating Role of Marketing Capabilities. J Int Mark 2012;20:25–45.
[5]     Aguilera R V, Ciravegna L, Cuervo-Cazurra A, Gonzalez-Perez MA. Multilatinas and the internationalization of Latin American firms. J World Bus 2017;52:447–60.
[6]     Bhat S, Momaya KS. Innovation capabilities, market characteristics and export performance of EMNEs from India. Eur Bus Rev 2020;32:801–22.
[7]     Joseph J, Hari KS. Comparative advantage and export performance of India’s rubber sector: an exploratory analysis. J Rubber Res 2019;22:109–17.
[8]     Chen J, Sousa CMP, He X. The determinants of export performance: a review of the literature 2006-2014. Int Mark Rev 2016;33:626–70.
[9]     Wang HF. Fuzzy multicriteria decision making - An overview. J Intell Fuzzy Syst 2000;9:61–83.
[10]   Ribeiro RA. Fuzzy multiple attribute decision making: A review and new preference elicitation techniques. Fuzzy Sets Syst 1996;78:155–81.
[11]   Prékopa A. Stochastic Programming. Springer Netherlands; 2013.
[12]   Liu X. On the methods of decision making under uncertainty with probability information. Int J Intell Syst 2004;19:1217–38.
[13]   Moore RE. Methods and Applications of Interval Analysis. 1979.
[14]   Jafari H, Ehsanifar M. Using interval arithmetic for providing a MADM approach. J Fuzzy Ext Appl 2020;1:60–8.