Purpose: The main object of this study is to identify the main factors which cause the acceptance or rejection of technology by the users. Methodology: In the present study; the results of studies conducted in the mentioned field were analyzed using statistical methods. The method applied in the current study was meta-analysis. In this study, all studies done in the mentioned field have been searched from three citation databases of ISI, Scopus and ISC, based on the presence of keywords TAM and Technology Acceptance Model in titles, abstracts, keywords, texts and references. For meta-analysis of the studies, means and standard error of variables in the studies were collected and their significance level was measured with the use of means differences. Then, based on tests applied in the studies, the effects size of the variables was calculated based on Hedges approach. Also, Cohen approach was used for their interpretation. Findings: Totally, 164 researches had the property of measuring the effect size. Given the obtained results, twenty-one-dimensional variables with different values are effective in the technology acceptance in environments and based on the type of samples in the studies. Given that all main variables in Davies model had high means and high effect size, it can be concluded that components of Davis’ Technology Acceptance Model (TAM) are still considered as the ideal components in this field. Originality/value: the article have a new methodology to technology acceptance or rejection causes.