Systematic Analysis and Evaluation of Information Disclosure Criteria of Business Models

Recent empirical studies show that the accounting information contained in the current financial statements does not have a reliable basis for predicting the future performance of companies and key indicators affecting the value of the company such as business model in the traditional accounting model are not reported. The aim of this study was to analyze and evaluate the fit of the measurement and structural model the criteria for disclosure of information of business models. In this descriptive correlational study, 196 people were selected from university professors and experts in the field of finance and business by Cochran sampling method. Data analysis algorithm by partial least squares method was used which includes: measurement models fitting, structural model fitting and the overall fit of the model to assess the criteria for disclosure of information of business models. Fitting of all three parts of the data algorithm and the results of confirmatory factor analysis also showed the desirability and acceptability of the latent structure at the level of criteria. According to the results of the present study, it can be said that the criteria of information disclosure of business models have an appropriate measurement and structural model fit and it can be used to measure and identify the criteria of information disclosure of business models. The results of the research can be considered in the long-term and accurate planning of actors and players influencing the accounting profession to improve the financial reporting system of companies and promote the profession in the future.