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This study aims to examine the potential effect that business ethics (BE) in general and corporate social responsibility (CSR) more specifically can exert on the voluntary disclosure (VD) of intellectual capital (IC) for the ethically most engaged firms in the world.

The research design is based on an inductive approach. As part of the global quantitative investigation, the authors have analyzed the impact of BE and CSR on the transparent communication of the IC. The data under analysis have been investigated using multiple linear regression.

Based on a sample of 83 enterprises emerging as the most ethical companies in the world, the results have revealed that the adoption of ethical and socially responsible approach is positively associated with the extent of VD about IC. This finding may help attenuating the asymmetry of information and the conflict of interest potentially arising with corporate partners. Hence, IC-VD may stand as an evidence of ethical and socially responsible behaviors.

Global and national regulators and policymakers can be involved by these results when setting social reporting standards because they suggest that institutional and/or cultural factors affect top management's social reporting behavior in the publication of the IC information.

Direct and indirect stakeholders, if supported by ethical and socially responsible behaviors of the company, could assess more in detail the quality of the disclosed information concerning the IC.

Most of the studies that have been conducted in this field have examined the effect of BE and CSR on the firm's overall transparency, neglecting their potential effect on IC disclosure. This study is designed to fill in this gap through testing the impact of ethical and socially responsible approaches specifically on IC-VD.

The introduction of “should cost” in 2011 required all Major Defense Acquisition Programs (MDAP) to create efficiencies and improvements to reduce a program’s “will-cost” estimate. Realistic “will-cost” estimates are a necessary condition for the “should cost” analysis to be effectively implemented. Owing to the inherent difficulties in establishing a program’s will-cost estimate, this paper aims to propose a new model to infuse realism into this estimate.

Using historical data from 73 Departments of Defense programs as recorded in the selected acquisition reports (SARs), the analysis uses mixed stepwise regression to predict a program’s cost from Milestone B (MS B) to initial operational capability (IOC).

The presented model explains 83 per cent of the variation in the program acquisition cost. Significant predictor variables include: projected duration (months from MS B to IOC); the amount of research development test and evaluation (RDT&E) funding spent at the start of MS B; whether the program is considered a fixed-wing aircraft; whether a program is considered an electronic system program; whether a program is considered ACAT I at MS B; and the program size relative to the total program’s projected acquisition costs at MS B.

The model supports the “will-cost and should-cost” requirement levied in 2011 by providing an objective and defensible cost for what a program should actually cost based on what has been achieved in the past. A quality will-cost estimate provides a starting point for program managers to examine processes and find efficiencies that lead to reduced program costs.