The role of information in decision making is well appreciated. Managing information continues to challenge academia, practitioners, and researchers. Despite advancements in the computing environment with information and communication technologies as enablers, human interventions in business decision-making processes are still relevant. These human interventions influence the culture, processes, structures, and information management practices in the organization. In order to address human intervention and bias, there are efforts to develop expert systems, decision support systems, and business intelligence tools in functional areas. Issues like biases, inadequacy in data management, and information asymmetry do exist in various forms across functions in an organization, and they need to be addressed effectively. This book has taken up these challenging issues in a simulation environment and addresses biases in an accounting function, which are very relevant for any contemporary organization.

The book’s title is very appealing since it attempts to address practical issues in an accounting function with a focus on costing (a subfunction). The book has much to offer to the reader interested in simulation and modeling. Its strength lies in its organization and sequencing of the problem areas in management accounting and costing. It also helps the reader to understand the process of simulation in this functional area.

But the simulation process used in the book seems to be limiting because it does not clarify the role of expert systems and decision support systems adopted in this functional area. The overarching model presented focuses on costing. Discussions on the influence of costing in a management accounting system (MAS) and the contributions of the model in managing overarching organizational objectives could have been beneficial. I would have personally benefited if other models had been presented and discussed to justify acceptance of the adopted model. The readability of the text is also a major concern because of the interruptions made by the referencing style. Too many references to other literature distract the reader from the central discussion in each chapter.

The book appears to be a reproduction of a dissertation. It would have been better to go beyond the use of randomly generated datasets for validating simulations of the model presented. It also would have been nice if the author had included one business case with real datasets to validate the model.