Identify and formulate the factors and components of the customer satisfaction model by implementing the performance of the intelligent system in customs

Document Type : Original Article

Authors

1 PhD Student in Business Management Marketing, Department of Management, Qeshm Branch, Islamic Azad University, Qeshm, Iran

2 Associate Professor, Department of Management, Tehran Branch, Central Islamic Azad University, Tehran, Iran

3 Assistant Professor, Department of Management, Qeshm Branch, Islamic Azad University, Qeshm, Iran

4 Associate Professor, Department of Management, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran

10.30510/psi.2022.321810.2865

Abstract

Continuous improvement of organizational performance creates a huge synergistic force that can support the growth and development program and create opportunities for organizational excellence. Governments, organizations and institutions are making a concerted effort in this regard. The present research is an applied research in terms of the type of purpose and in terms of the nature of a descriptive-analytical method, in terms of the method of documentary-survey implementation. Data collection and analysis have a mixed research method. The results showed that in the analysis of structural models using the partial least squares approach, the coefficient of determination index or the same coefficient of explanation (R2) is used for the ability of independent variables to predict dependent variables, or in other words the ability of regression model. In other words, the basic criterion for evaluating the endogenous variables of the path model is the coefficient of determination. This index shows what percentage of the changes in the endogenous variable (dependent) are made by the exogenous variable (independent). In this regard, the values ​​of 0.67, 0.33 and 0.19 for endogenous (dependent) latent variables in the structural path model (internal) are described as significant, moderate and weak, respectively, but if the latent variable is affected by a small number ( One or two) exogenous variables; The average values ​​of the coefficient of determination are also acceptable.

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