مطالب

The purpose of this paper is to prepare a hybrid simulation model of system dynamics (SD) - agent-based modeling (ABM) to investigate the mobile service consumers’ behavior in the country. By using the suggested in this article, first the necessity to analysis consumers’ behavior is explained and then the effective factors on mobile ecosystem which influence the consumers’ behavior are explained . For each factor affecting on the ecosystem, related simulations were performed and then by combining system dynamics modeling - agent -based modeling, the behavior of mobile service consumers in the first operator of the country (Hamrahe Aval Company) was examined and finally the income affected by that behavior is analyzed . Results indicated that if no funds by the operator are allocated to the development of native applications and digital platform, after 2 years, the number of active customers of the operator will decrease because of the activities of cultural organizations. By the operator entering into the field of native application production and digital transformation, consumers tended to use more data services instead of voice calls, but because of different data and voice tariffs, the operator's income will not change much in the next 2 years. With the increase of marketing and advertising activities, despite the greater consumer inclination to use data, the main income of the operator decreases, which also needs more attention of policymakers in this area .

Nowadays, marketing researchers are constantly striving to identify consumer behavior and therefore to find appropriate solutions for better and more effective sales and increase market share. In this regard, the purpose of the present study is the role of customer clustering in designing a targeted marketing model. The research method is applied and exploratory. The statistical population of the study was in the qualitative part of sales and marketing managers of IoT companies who were selected by non-random sampling method and 15 people were interviewed. The quantitative part also included all the customers of the companies surveyed. Due to the unlimited population of Morgan Table 384 persons were selected as the sample size. Data gathering tool was interview and questionnaire, which were used to assess the validity of the questionnaire by the opinions of marketing experts and Cronbach's alpha reliability. Content analysis approach was used to analyze the data in the qualitative part and PLS2 software in the structural part. The results showed that the dimensions of the model in the four main clusters were communication factors, behavioral factors, individual factors, and economic factors. Model performance is very high performance.

The most comprehensive criteria for evaluating management performance is economic value added, accounting added value, and over-valuation, which can best reflect how managers operate because of the information content that they provide. Therefore, considering the importance of earnings, this study investigates The Role of Earnings Management in Economic Growth and the Corporate’s Growth Illusion in Tehran Stock Exchange during the period 2012-2018 using systematic elimination method of information of 150 selected companies. The study data and theoretical foundations were collected through library studies. Hypotheses were tested using correlation method and multivariate regression. The results showed that with increasing in real earnings management, economic value added and accounting added value also increased. Also, with the increase in revenue earnings management, economic value added and accounting added value also increase. But there was no significant relationship between accrual earnings management and income with accounting added value. There is a positive significant relationship between actual earnings management resulting from abnormal and overvaluation operating cash flows and, there is a positive and significant relationship between accrual earnings management and overvaluation.