firefly algorithm

The digital world has disrupted entire sectors, such as publishing, media recording, commerce, and manufacturing, among others. The financial services sector is not being spared.“Digital transformation” has been on the agenda of many executives and board rooms for quite a long time. But beyond the buzzword, it is often not clear what “digital transformation” means. Financial services have often interpreted “digital transformation” only as a means to provide access to some products via digital channels, online or mobile, or, alternatively, as a pure cost reduction initiative. Digital transformation is much more than that: it is an entire change in the company’s business model.It involves putting the customer at the center and using digital platforms to build a new business and operating model around that, using both own or external products and services. In today's age, open banking and the use of APIs is one of the ways to enter the digital transformation into the banking industry.Therefore, in this article, after the introduction of open banking, two scenarios have been presented for the optimality of the open banking model by metaheuristic algorithms according to their similarity to the ecosystem of the banking industry, and finally, after examining the results of testing on the data It was concluded that the best platform is to use the second scenario based on the FMO algorithm in the design of open banking platforms.

This study aimed to evaluate the effect of type of players on ecosystem accounting system using structural equations. In total, 84 activists in the field of environmental accounting (ecosystem) were selected through convenience sampling. Subjects filled the 22-item questionnaire of components of actor network and the 25-item questionnaire of ecosystem accounting. Given the fact that the significance coefficients of components of political-social and technical actors were above 1.96, these two variables had a positive and significant effect on ecosystem accounting at 95% confidence interval. In addition, the significance coefficients of components of organizational and economic actors were above 2.58, demonstrating the positive and significant impact of these two variables on the ecosystem accounting. On the other hand, technology actors had no significant impact on ecosystem accounting. From the perspective of the subjects, some of the factors affecting ecosystem accounting system of Iran were the inconspicuous role of managers, creditors, and investors and accountability mechanisms and assessment indicators and environmental taxes, which directly or indirectly affected the results. Moreover, the simultaneous evaluation of the effect of five relevant indicators demonstrated that 68% of their changes were explained by these factors and actors.