Cost‐benefit analysis: a disparagement of its misuse and misexplanation
Purpose – The purpose of this paper is to argue that when managing strategically, a library administrator might want to use cost‐benefit analysis to justify spending and, consequently, would need to understand this methodology.Design/methodology/approach – The paper discusses and gives examples to illustrate how others have needed a better knowledge of cost‐benefit analysis.Findings – It is helpful for library managers to have a proper knowledge of cost‐benefit analysis.Practical implications – This provides one methodology that librarians should consider when contemplating what purchases to make.Original/value – This paper will help librarians better manage their libraries by making them aware of cost‐benefit analysis.
Encyclopedic dictionary of accounting and finance
A truly practical accounting and financial dictionary. Going way beyond simple definitions, it provides professionals with the practical guidance they need to understand and solve problems--including hundreds of fully worked-out examples, with ready-to-use charts, tables, graphs, ratios and formulas.
Using Fuzzy-Delphi technique to determine the concession period in BOT projects
BOT projects are affected by several risks and uncertainties. One of the most important issues in this type of contract is to determine the length of concession period considering these uncertainties. The previous studies have developed several models to determine the concession period. However, the uncertainties are not taking into account in most of the previous works. Moreover, none of the previous researches has the capability to aggregate the opinions of different experts being involved in a project regarding the values of the uncertain input parameters. In this research, a Fuzzy-Delphi technique is implemented to determine the length of concession period considering uncertainties. Using the proposed Fuzzy-Delphi technique, the values of different uncertain factors affecting a BOT project is determined considering opinions of a group of experts. The NPV value is calculated considering the resulted aggregated values of uncertain input parameters. Finally, the concession period is determined using fuzzy approach. A case study is conducted to evaluate the performance of the proposed methodology. It is shown that the concession period is determined more effectively using the proposed approach.