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Traditional classification algorithms always have an incorrect prediction. As the misclassification rate increases, the usefulness of the learning model decreases. This paper presents the development of a wisdom framework that reduces the error rate to less than 3% without human intervention.

The proposed WisdomModel consists of four stages: build a classifier, isolate the misclassified instances, construct an automated knowledge base for the misclassified instances and rectify incorrect prediction. This approach will identify misclassified instances by comparing them against the knowledge base. If an instance is close to a rule in the knowledge base by a certain threshold, then this instance is considered misclassified.

The authors have evaluated the WisdomModel using different measures such as accuracy, recall, precision, f-measure, receiver operating characteristics (ROC) curve, area under the curve (AUC) and error rate with various data sets to prove its ability to generalize without human involvement. The results of the proposed model minimize the number of misclassified instances by at least 70% and increase the accuracy of the model minimally by 7%.

This research focuses on defining wisdom in practical applications. Despite of the development in information system, there is still no framework or algorithm that can be used to extract wisdom from data. This research will build a general wisdom framework that can be used in any domain to reach wisdom.

Climate change is becoming one of the biggest and most pressing environmental challenges of the last century. As such, the board of directors and its sub-committees need to recognise and address climate change as a potential strategic risk for their companies, using a sustainable approach that prioritises this risk over other business-related risks. In this framework, this paper aims to examine the influence of audit committee characteristics and its effectiveness on the commitment to voluntary climate change disclosure.

Our sample covers 403 non-financial companies from 48 countries. These companies belong to the largest greenhouse gas (GHG) emitting sectors, namely oil and gas, chemicals and coal. We have used data from company responses to the Carbon Disclosure Project (CDP) survey for the years 2015–2021. The total number of observations for the seven-year periods is 2,821 firm years. Audit committee characteristics examined are size, independence, gender diversity and number of meetings. Regarding the effectiveness of the audit committee, it is measured using a composite index developed from its individual characteristics.

Our findings show that the number of meetings held by the audit committee affects positively the commitment to the CDP initiative. However, the effects of audit committee size, independence and the presence of women are statistically insignificant. Regarding the effectiveness of the audit committee, our results show that it has a positive and significant effect on the commitment to the CDP initiative. In addition, the results demonstrate that the audit committee diversity, measured using the Herfindahl index, had a positive and significant effect on climate change disclosure commitment.

This study offers new insights into the role of the audit committee in improving climate change disclosure. The findings indicate that companies can improve their sustainability and social responsibility by establishing an effective audit committee within their board of directors. Furthermore, investors and regulators must give great importance to the characteristics of the audit committee and its roles and duties in the fight against climate change.

In contrast to previous research, this study examines, simultaneously, the impact of individual characteristics and the effectiveness of the audit committee on the commitment to climate change disclosure.

This study aims to investigate the association between corporate governance and financial transparency, using the moderating role of an Egyptian currency devaluation decision as a policy shock.

Data was collected for a sample of companies listed on the Egyptian stock exchange from 2014 to 2019. To control for time-invariant unobserved heterogeneity, the authors analyse panel data using an estimated generalised least squares regression model.

The findings underline the pitfalls of assuming that corporate governance mechanisms are effective regardless of circumstances and support the complementary roles of a number of theories in interpreting the empirical findings.

This study is limited to non-financial companies and includes only corporate board and audit committee governance mechanisms. The study results have important implications for policymakers, international lending institutions, investors and accounting standards setters. It is of particular importance to policymakers in other less-developed countries with similar economic conditions.

To the best of the authors’ knowledge, this study is the first empirical attempt to provide evidence of the impact of a currency devaluation shock on the relationship between corporate governance and financial transparency within the Egyptian context as an example of a transitional economy. Hence, it provides a significant theoretical and empirical contribution to the literature.

God promised pious individuals who obey to His commandments, to increase their economic well-being. Although it is difficult to demonstrate with figures in hand this causality relationship, Muslims must believe in its existence and robustness at both the individual and collective levels, as it is argued in Qur'an and the Prophetic Narration. We aim in this paper to model this positive relationship between Islamic work ethics and economic growth and prove theoretically its existence.

We develop an endogenous growth model very close technically to Lucas–Uzawa model (1988) in which the human capital defined as the individual's skill level acquired through formal education and learning by doing is replaced by ethical capital (piety).

The model proves theoretically that Islamic ethics are a key engine of endogenous economic growth and that the underdevelopment of Muslim populations is due to their low ethical capital (lack of piety).

The study recommends some policies such as providing formal religious education at all educational levels (elementary, secondary and higher levels) and promoting ethical values such as piety, sincerity, transparency, etc., through media and cultural institutions. Also, managers could provide courses and training to their workers to teach them Islamic work ethics.

This paper is the first to mathematically model Islamic work ethics as endogenous phenomena in socioeconomic systems and study theoretically their contributions to economic growth.