This applied research was conducted to identify and explain the requirements of role players to provide electronic procurement in municipalities from 1402 to 1403. The statistical population of the research included all the employees and managers of Zanjan city, who were selected through a random-proportional sampling of 169 people.  A researcher-made questionnaire with an overall Cronbach's alpha of 0.812 was used to measure and collect research data. According to the literature review and the research background, the relationship between the variables of electronic participation, electronic consultation, and decision-making in the use and sharing of electronic information on the adoption of electronic procurement through the regulatory policy variable formed the conceptual model of the research. The value of the Kaiser-Meyer-Olkin sampling adequacy measurement statistic at zero significance level and one degree of freedom was obtained for e-participation 0.825, e-consultation 0.794, decision-making 0.735, electronic information sharing 0.848; regulatory policy 0.768 and e-procurement adoption 0.706, that is, the correlations in between the data for factor analysis was obtained at a confidence level of 99%. According to the Kolmogorov-Smirnov test, the probability value of electronic participation (0.391), electronic consultation (0.361), decision making (0.471), electronic information sharing (0.450), a regulatory policy (0.486), adoption of electronic procurement (0.390) are all smaller than 5 percent. Achieved: Therefore, due to the non-normal distribution of the samples, the significance test of Spearman's correlation coefficient was used to test the research hypotheses. As a result, the correlation coefficient between the variables was above 5.0, indicating a direct, medium to high, and significant relationship at the 5% error level. As a result, the research hypotheses were confirmed. According to the Friedman test, the average ratings for electronic participation were 2.63 (first rank), for electronic consultation 2.56 (second rank), and for electronic information sharing 2.53 (third rank). For decision-making, 2.51 (fourth rank), so electronic participation was the highest score. Decision-making has the lowest score, meaning electronic participation has the most significant impact on regulatory policy. Then, the regression relationship between the variables was presented. Finally, the value of 1.579 was obtained in the Durbin-Watson test, and the validity of  the regression results was confirmed; it was also confirmed that the independent variables are also effective in predicting the dependent variable.