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This study aims to examine the impact of executive bonus compensation on a firm’s financial leverage policy and the extent to which this compensation–leverage relation is moderated by firm growth and executive ownership.

Using data from 213 non-financial and non-utility UK FTSE 350 firms for the period 2007–2015, generating a total of 1,784 firm-year observations, panel econometric methods are used to test the model.

Drawing insights from agency theoretic view, this paper uncovers that managerial cash bonus compensation is negatively and significantly related to financial leverage. However, stock bonus compensation has a positive and significant impact on leverage. This study also observes that compensation–leverage is moderated by both firm growth and executive ownership. The results remain robust to alternative econometric models.

While this paper builds on the risk-motivated argument of executive bonus compensation literature, it is the first – to the best of the knowledge – to explore the bonus compensation-corporate financial leverage and, particularly, examine the extent to which firm growth and corporate executive ownership matter in this relationship.

The purpose of this paper is to assess the extent of failure within Ghanaian Government projects using multiple failure criteria.

This study used a sequential data collection approach by employing an in-depth semi-structured interview and questionnaire, respectively. Based on insight from the literature review, interviews were held with participants to solicit their perceptions about the failure of Ghanaian Government projects. A questionnaire was developed based on the results from the interviews in order to determine the relative importance of the various failure criteria used as the evaluation tool.

Six main criteria were identified and used as the assessment framework for Ghanaian Government project failure. The findings indicated that Ghanaian Government projects fail on all the six failure criteria; however, the extent of failure differs from criterion to criterion. The worst failure criterion is meeting the projected timescale. This is followed by cost, requirement, stakeholder satisfaction, national development and contribution to the sector where projects are implemented, respectively.

From this study, government project practitioners and policy makers will be able identify the failure areas (criteria) on which to focus during government project implementation.

Though extant literature has been devoted to the success/failure criteria, attention has not been paid to comparison of the extent of failure within these criteria in government projects. Therefore, this study extends the literature in this regard as well as government project failure literature in general.