A General System for Optimizing Strategic Business Processes of an IT Services Company

The article proposes a methodology to improve the general system for optimizing strategic business processes (BPs) of an IT services company based on modern economic and mathematical assessment and analysis tools. A common step-by-step algorithm for building and analyzing models for optimizing BPs of an IT company is presented. There built a unified structural and logical system for optimizing BPs of an IT company, which combines factors, trends, principles and steps, methods and techniques, as well as expected results ensuring comprehensive research and improving the quality of optimizing the entire set of business BPs, is built. There developed a set of models for managing and optimizing business processes to increase efficiency of strategic management of an IT services company through the implementation of the following tasks: building a descriptive model of BPs of an IT services company; elaborating a mechanism for managing BPs as an active, self-organized, viable system; assessing efficiency of BPs of an IT services company; developing a set of models for managing and optimizing BPs; optimizing the structure of BPs of an IT services company; elaborating a mechanism for evaluating effectiveness of management decisions in the system of business processes of an IT services company. There implemented the simulation models to optimize management of business process of IT companies using scenario modeling, on the basis of which the forecasting of managerial impacts on BP representatives by certain management strategies that allow choosing the most effective management decisions regarding specific BP activities is carried out

A Business Cycle Model with Sticky Pricing and Endogenous Capital

In this paper, we will study some business cycle models with sticky pricing and endogenous and firm-specific capital. We also manage to incorporate capital utilization into the models. As revealed by the simulation results, the cyclical behaviors of our business cycle models are quite normal compared with the literature and those of the actual economy except the simulated correlations between inflation and output. Such simulation result is mainly because in symmetric equilibriums, money in our models turns out to be superneutral.

Bayesian emulation for optimization in multi-step portfolio decisions

We discuss the Bayesian emulation approach to computational solution of multi-step portfolio studies in financial time series. "Bayesian emulation for decisions" involves mapping the technical structure of a decision analysis problem to that of Bayesian inference in a purely synthetic "emulating" statistical model. This provides access to standard posterior analytic, simulation and optimization methods that yield indirect solutions of the decision problem. We develop this in time series portfolio analysis using classes of economically and psychologically relevant multi-step ahead portfolio utility functions. Studies with multivariate currency, commodity and stock index time series illustrate the approach and show some of the practical utility and benefits of the Bayesian emulation methodology.Comment: 24 pages, 7 figures, 2 table