علی پیرزاد

Purpose: The purpose of this research was to provide a model for predicting time series of financial information based on the Lyapunov representation of information using chaos theory.Method: This research is applied in its purpose, which is conducted using a quantitative approach. The research ranks as descriptive-causal accounting research based on actual information in companies' financial statements. The research method is the "post-event" type and was carried out using chaos theory and Saida's method based on the Lyapunov view.Findings: The findings showed that during the ADF test, the null hypothesis was rejected at a level of less than 5% type 1 error and 95% confidence, and it shows that the data is not static. During the substitution analysis test and its significance level, the behavior of the time series of the main financial information is significantly different compared to their substitutes. The obtained value was calculated to describe the production process of all data sets for μ = 2, ApEnMax equal to 0.65 and rMax equal to 0.32, and for μ = 3, ApEnMax equal to 0.6 and rMax equal to 0.44. The value of the Lyapunov profile in stability at a certain point is less than zero and in the limited cycle of stability is equal to zero and in chaos, it is greater than zero and smaller than ∞, and in noise it is equal to ∞.Conclusion: The results show that higher returns, encourage investors to invest and increase the flow of capital. It is believed that companies' stock returns are a function of systematic risk, and systematic risk represents the changes in the return rate of a share compared to the changes in the return rate of the entire stock market.

Purpose :The main purpose of this research was the pathology of strategic human resource management system based on digital transformation governance. The analysis has been done in Gachsaran Oil and Gas Exploitation Company with the grounded theory approach. Method : This research is a heuristic combination of consecutive type and model tooling, model design and compilation based on the criteria designed by the model. Library method and documentary studies were used to collect theoretical foundations. In the qualitative section, using the research method of case study and semi-structured interviews with experts and professors, the criteria of the research model were developed. In order to select a suitable sample from the community of experts and university professors, non-random sampling method, selective purposeful sampling method (snowball) and theoretical saturation criterion were used and from the sample technique of key individuals (experts) 15 people were selected. Findings : Findings show that in the digital transformation path, factors such as employment system balance, equitable distribution of responsibilities, career path management, functional stability, manpower capability, fitness and work environment, individual creativity, political and legal factors, cultural conflict, environmental developments, specific individual and organizational components, and financing influence the strategic human resource management system. Conclusion : In the path of digital transformation in the organization, in order to eradicate organizational harms and improve the productivity of the organization and the workforce, the factors found in this research should be considered and examined so that the organization can progress.

The purpose of this study is to design and explain the impact pattern of online advertising on actual purchasing (Case Study: Atieh Saba Holding). The study is qualitative based on the objective and data collection process. The population of the study were all marketing and sales experts at Atieh Saba Holding, and among these experts, 10 were selected as the sample. In this study, data were collected through interview. The study is applied as it investigates the impact of online advertising on actual purchasing. After analyzing the open and structured interviews, the similar and related concepts were grouped into one category through comparative process and open coding, axial coding, and selective coding were employed to analyze the responses. The results of experts' responses showed that indicators such as print media and television advertising, social media, search engine advertising, banner ads, advertising websites, online text ads, advertising panels, online video ads, mobile ads, email ads, and online video ads have an impact on actual purchasing.