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Purpose The purpose of this paper is to evaluate the effect of CRM performance and technological innovation on performance of media entrepreneurs considering firm size. Design/methodology/approach This is an analytical study used to empirically test the hypotheses proposed for SEM techniques using PLS and R packages. It used two steps in this way: the assessment of the outer model and the assessment of the inner model. Moreover, a bootstrapping method was employed to test indirect effects. Data were collected by distributing 127 questionnaires between the managers and deputies of active firms across Rasht, Iran. Findings The effect of CRM performance on SMEs performance development is partially mediated by media entrepreneurship. Moreover, the effect of technological innovation on SMEs performance development is mediated by media entrepreneurship. Furthermore, permutation test results indicated that there is no significant difference between small- and medium-sized firms. Research limitations/implications This study used cross-sectional sampling method that can seriously limit result generalization. Therefore, conducting longitudinal studies is strongly recommended. Practical implications The results of IPMA matrix indicated the serious importance of technological innovation, as a variable with the highest importance for SMEs performance development. Nevertheless, this variable has received the lowest importance in the studied population. Therefore, SMEs’ managers should pay sufficient attention to the concepts of “product innovations” and “process innovations.” Originality/value This study is of high importance in that it has adopted new and effective indices for statistical analysis. IPMA matrix, permutation test, CTA and FIMIX are examples. In addition, plspm and Matrixpls packages in R were used for the first time in this study.

This study aimed to investigate the effects of social network propaganda on exchange rate and also exchange rate fluctuations on Iran economic growth. This study uses annual data to analyse the long-run and short-run relationship between variables for the period of 1993–2018. Data were collected from the Central Bank of Iran. The autoregressive distributive lag (ARDL) method proposed by Pesaran, Shin, and Smith (2001) was used. The results of long-run analysis show that a 1% increase in negative propaganda of social media about the exchange rate leads to a 3.8% decline in long-run economic growth. Also, a 1% increase in exchange rate fluctuations results in a 3.5% decrease in economic growth. Research findings also indicate negative short-run impacts of social networks on the excitement of the foreign exchange market and, ultimately, on economic growth.