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This study aims to analyze the relationship between corporate governance attributes and the International Financial Reporting Standard (IFRS) compliance among Zambian listed companies.

Data was collected through content analysis of annual reports and audited financial statements of 20 Zambian listed companies for the period 2012 to 2018. This is a longitudinal study which involved panel data analysis. A Hausman test was conducted to select the model to use to run the panel regression analysis.

The results indicate a positive statistically insignificant relationship between board size, board independence and IFRS compliance. A statistically significant negative relationship between audit committee independence and IFRS compliance. However, there is a positive relationship between board members with accounting and auditing experience, the inclusion of women on the board and IFRS compliance.

Limitation includes the narrow focus on listed companies only which cannot be generalized to other public interest and private companies in Zambia.

The study findings imply that corporate governance attributes such as the inclusion of qualified and experienced Chartered Accountants and women on the board will increase IFRS compliance. The appointment criteria of non-executive directors should be strengthened.

This is the first empirical study to analyze the relationship between IFRS compliance and corporate governance in Zambia. The study also responds to the call by the World Bank (2017) to empirically study IFRS compliance in Zambia and contributes to the scant literature in developing countries on determinants of IFRS compliance.

The purpose of this paper is to examine the determinants of audit report lag in Sub-Saharan African Central Banks. In this case, the determinants were divided into two categories: independent variables and mediating variables. The independent variables, which were generated from board characteristics, included board size, board gender diversity, governor duality, audit committee size and audit committee meetings. The mediating variables were auditing characteristics and they comprised audit mandate, audit approach and audit quality.

The study used data from 192 observations from African Central Banks' financial reports for the period 2000–2016. The data collected were analyzed using path analysis, whereby four regression models were run and tested simultaneously. From the analysis, the study determined total effects and then decomposed the total effects into direct and indirect effects.

The study results indicate that in the case of board characteristics, governor duality and audit committee size were found to have a positive influence on audit report lag. In the case of audit quality, only audit mandate was found to have a negative influence on audit quality in the Central Banks. However, the introduction of mediating variables increased the positive effect of governor duality and audit committee size, while also making board size and board gender diversity have a significant negative effect on audit report lag.

The findings of this paper have implications for the practice and policy of the auditing and governance of Central Banks, which includes designing appropriate governance structures as well as proper auditing strategies.

This is the first study which has examined factors influencing audit report lag in Central Banks. Previous studies on Central Banks' governance have examined the independence and autonomy of the Central Banks, as well as their accounting. This paper extends prior studies by examining the effects of those factors. Another contribution is the study's application of auditing characteristics as mediating variables.

This paper aims to explore factors influencing the effectiveness of tax audit in Tanzania. The study organized factors into four categories: organizational-related, tax auditors-related, taxpayers-related and regulatory-related factors.

The study used an explanatory approach, whereby data from 225 auditors in 23 tax regions in Tanzania were collected using a mailed questionnaire. The questionnaire had 25 statements representing factors and 5 statements representing the tax audit effectiveness. The collected data were analysed using both descriptive and inferential statistics. In the case of descriptive statistics, the study used frequency, percentage, mean and standard deviation. For the inferential statistics, the study used exploratory factor analysis (EFA) and multiple regression analysis.

The study findings showed that there were five main critical factors for tax audit effectiveness. The first factor, which is the implementation of tax auditors’ recommendations by management, was found under the organizational category. The second factor, which was adequacy of tax audit unit, was found under the tax auditors’ category, while the third factor was taxpayers’ attitude, found under the taxpayers’ category. The fourth and fifth factors, which were availability and application of regulations and standards for tax audit, and leadership and tax policies for tax audit, respectively, were found under the regulatory category.

Despite the contributions of this study, there are some limitations which need to be acknowledged. First, data were collected from tax auditors only. Second, only 25 statements for factors were used. Third, the study has used only primary data. Last, the study has used perceptual measures of tax audit effectiveness. The authors consider that if other approaches were used, they could have reached different conclusions. Therefore, future studies could be conducted in the areas where limitations have been identified.

From a practical perspective, tax authorities may be relying heavily on tax auditors, as well as regulations and policies, for tax audit effectiveness. The study shows that taxpayers, management, as well as tax audit standards, are critical factors too. However, the study also has practical implications for governments, tax authorities, tax auditors as well taxpayers.

This paper extends prior research in the area of tax audit and is the first paper to use four categories of factors to analyse the influence of tax audit effectiveness, taking into consideration both tax authorities and taxpayers. It also used EFA, which helped to generate variables with multiple prior theories (i.e. theoretical triangulation). Hence, new theories were combined with old theories to produce findings which take into consideration the context of the country.