Role of big data in the future of the banking industry with scenario planning approach

This research has been done with the aim of developing Iran's banking scenarios with an emphasis on big data. The current research is practical in terms of orientation and exploratory in terms of the goal. It is also mixed in terms of its philosophical, pragmatic and methodological foundations. To carry out the research in the first stage, 20 key drivers of the research were extracted through literature review and interviews with banking and technology experts. After screening with the fuzzy Delphi method, 8 factors were removed and the rest were evaluated with the Marcus decision making technique. The findings of the research show that the two factors of "technology regulation" and "technology transfer costs" were chosen as key uncertainties for developing research scenarios. Based on these two key uncertainties, four scenarios were developed based on interviews with the focus group with the titles of comprehensive banking, static banking, searching banking, wandering banking. In the comprehensive banking scenario, everything is in its optimal state; Technology transfer costs have decreased and regulators are supportive of the technologies. According to the findings of the research, considering drivers, key uncertainties and alternative scenarios by managers and decision makers can improve the performance and increase the competitive advantage of banks

Ranking the Factors Affecting Financial Fraud Probability, According to Audited Financial Statements

Fraud is one of the key factors in decreasing the reliability of reports and financial statements, which in turn, has increased the risk and cost of business, reduced the investors’ confidence, and put the validity and integrity of the accounting profession into question. The purpose of this paper is to rank factors affecting the probability of financial fraud, according to Audited Financial Statements for 181 firms listed in Tehran Stock Exchange for 9 years (2006 to 2014). Finally, the questionnaires prepared by experts were analyzed through analytic hierarchy process (AHP). As a result, we found that paragraphs related to overstated or understated income or assets have the highest priority in the factors affecting the probability of financial fraud, according to Audited Financial Statements