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Sustainability reporting has been widely adopted by firms worldwide given stakeholders’ need for more transparency on environmental, social and governance (ESG) issues. This study aims to investigate the relationship between ESG and bank’s operational (return on assets [ROA]), financial (return on equity [ROE]) and market performance (Tobin’s Q) in a group of emerging countries in the Middle East and North Africa (MENA) region.

This study examines 59 banks listed on the stock exchanges of MENA countries over a period of 10 years (2008-2017). Only conventional banks with all data for at least two years are included in the sample. The core independent variable is ESG scores, and the dependent variables are ROA, ROE and Tobin’s Q. This study uses bank- and country-specific control variables to measure the relationship between sustainability reporting and bank’s performance.

The findings from the empirical results demonstrate a significant positive impact of ESG on performance and economic benefits to shareholders. However, the relationship between ESG disclosures varies individually; unlike the majority of published research, the authors found that social performance plays a negative role in determining bank’s profitability and value. Furthermore, the authors present evidence in support of the impact of bank- and country-specific factors in determining bank’s performance.

To the best of the authors’ knowledge, this is the first study to investigate the impact of sustainability reporting on banks’ performance in the MENA region. It provides evidence that questions the positive relationship between sustainability reporting and financial measures of performance.

This study aims to examine the relationship between sustainability reporting and bank performance after financial crisis in developed and developing countries.

This study examines 882 banks from developed and developing countries covering 11 years after the 2008 financial crisis. The independent variable is environmental, social and governance (ESG) scores. The dependent variables are return on assets, return on equity and Tobin’s Q. This study uses bank- and country-specific control variables to measure the relationship between sustainability reporting and bank performance.

The findings deduced from the empirical results demonstrate that ESG improves banks’ accounting and market-based performance in developed countries, supporting value creation theory. Using pooling regression and instrumental variable – generalized method of moments, this study finds that ESG weakens banks’ performance in developed and developing countries.

To the best of the author’s knowledge, this is the first study to investigate and compare the impact of sustainability reporting on banks’ performance in developed and developing countries. The study found similarities in the impact of sustainability reporting and the improvement of banks’ current and future performance.

For part models with complex shape features or freeform shapes, the existing build orientation determination methods may have issues, such as difficulty in defining features and costly computation. To deal with these issues, this paper aims to introduce a new statistical method to develop fast automatic decision support tools for additive manufacturing build orientation determination.

The proposed method applies a non-supervised machine learning method, K-Means Clustering with Davies–Bouldin Criterion cluster measuring, to rapidly decompose a surface model into facet clusters and efficiently generate a set of meaningful alternative build orientations. To evaluate alternative build orientations at a generic level, a statistical approach is defined.

A group of illustrative examples and comparative case studies are presented in the paper for method validation. The proposed method can help production engineers solve decision problems related to identifying an optimal build orientation for complex and freeform CAD models, especially models from the medical and aerospace application domains with much efficiency.

The proposed method avoids the limitations of traditional feature-based methods and pure computation-based methods. It provides engineers a new efficient decision-making tool to rapidly determine the optimal build orientation for complex and freeform CAD models.

The purpose of this study is twofold. The first is to examine the impact of environmental disclosure on banks’ performance, while the second is to investigate the moderating role of a country’s economic activities and institutional quality on the relationship between environmental activities disclosure and banks’ operational, financial and market performance.

The sample includes 246 banks from emerging markets from 2008 to 2020, comprising 1,899 bank-year observations. The independent regressors are environmental disclosure, two moderators and two sets of control (bank and country) variables. The dependent variables are return on assets, return on equity and Tobin’s Q. This study adopts ordinary least squares, panel fixed effect and instrumental variables generalized method of moments to estimate the parameters of the models.

This study reveals a negative relationship between environmental disclosure and bank performance, lending credence to the agency and neoclassical theories. The moderator regressors show positive influence on banks performance. The results indicate that it is difficult to make a business case for environmental commitment.

There is a need for effective monitoring by shareholders to ensure that funds allocated for environmental activities are spent wisely.

This study provides new evidence on the ways in which economic and institutional quality influence the environmental practices of banks in emerging and frontier markets.

This paper aims to commentate on the roles of sustainability reporting during the COVID-19 pandemic. It evaluates the Global Reporting Initiative’s (GRI) framework, designed as a guide for best-practice in sustainability reporting, for its applicability to cover COVID-19 issues and, more generally, issues arising in crisis conditions.

The GRI’s COVID-19 communications and the GRI framework are reviewed using three common theories of reporting, namely, institutional, stakeholder and legitimacy theory. For each theory, the authors contrast expectations under business-as-usual conditions against crisis conditions to identify gaps and avenues to guide COVID-19 responses.

This commentary opines the GRI framework risks perpetuating incremental change towards the “new normal”, rather than motivating the urgent responses needed in a crisis. The GRI can play a significant normative role to guide immediate and short-term best practice in COVID-19 reporting. Findings motivate the need to report for vulnerable rather than powerful stakeholders and to recognise and celebrate proactive change.

This paper commentates on the suitability of a major sustainability reporting framework and its role in improving responses to the current COVID-19 crisis. Findings propose challenges to the GRI and GRI framework to motivate urgent responses and communication for the pandemic.

This paper documents the impact of political uncertainty on the decision of private firms to use external auditors to verify their financial statements.

The authors use the data from 141 countries and the pooled logistic regression to test our arguments. The data is provided by the World Bank's Enterprise Surveys and is collected during the period between 2006 and 2019.

The results show that firms with high exposure to political uncertainty are more likely to use external auditors to verify their financial statements. The results are robust across various sub-samples and hold when we use alternate proxy for political uncertainty. The results are also robust after controlling for potential endogeneity concerns. The authors also find that the effect of political uncertainty on the choice of external audit is more pronounced for firms that are headquartered in countries with weak institutional environment. The authors document significant role of democracy, rule of law and accountability in determining the relationship between political uncertainty and the choice of external audit.

The authors believe that theirs is one of the initial attempts (if not the first) to investigate the effect of political uncertainty on the choice of external audit among the private firms in developing countries.

This paper aims to find out the similarities and differences in meaning between the word “al amanah” and trust.

As a qualitative research, a content analysis is used in three stages. First, to elaborate the exegesis of the related Qur’anic verses together with the background narration or asbab un-nuzul if any and the Prophetic hadith where the word amanah is and to analyse and conclude its meanings. Second, the word “trust” is analysed based on the discussions in the literature which will lead to its specific meanings. Third, the concluded meanings of amanah and trust are to be compared to find out their similarities and differences.

Amanah and trust have the similar meanings: safe, confident, ability to fulfil the expectation of the person who trust, having competence or expertise to perform duty, deliver commitments, keep promises, work with a full of responsibility, integrity or obedient to moral principles. Differences: Amanah is not only oriented to humanity and responsibility in human’s relations but also, more importantly, to God Allah the Almighty, obeying His commands to make it as ibadah or acts of worshipping Allah the Almighty for maslahah or welfare for society.

The findings are considered important for companies or organisations. Before doing a commercial transaction or entering a contract or hiring an employee, they must study the quality of the counterparty whether they are capable to do the job as expected or not. In addition, the findings indicate that Islamic teachings concerning muamalat or Islamic rules for social dealings is universal in nature.

Being the first time to compare the word al amanah to trust, the findings point out the important elements to be evaluated when assigning a certain duty to an agent.

The performance of public–private partnership (PPP) projects depends on how the project has been structured. The traditional PPP option analysis for structuring project scope and size relating to the bundling of functions concerning a single component of the value chain will need to be extended to handle multi-component sectors such as municipal solid waste (MSW) in formulating the project scope. This analysis is currently missing in the extant literature. The paper aims to discuss these issues.

Through a comprehensive literature review as the methodological backbone, this study develops a testable holistic framework for the procurement of MSW PPP projects that examines how various factors of bundling affect the performance of the PPP projects.

Using transaction cost economics, agency and auction theories, the review identifies that innovation, maturity, quality specifiability, scope, competition, information asymmetries and transaction attributes have a significant influence on the performance and success of the PPP projects.

Alternative supply chain management possibilities and firm-level organisational ways can be predicted using this framework to strategize the solutions for the municipal infrastructure. Based on this contribution, future research can test the framework to increase the knowledge of bundling theory about how to structure network infrastructure PPP projects.

Studies on how to bundle/unbundle the projects having components of the value chain are in a nascent stage. The present study attempts to extend the body of knowledge on PPP to the complexity of bundling both the functions and components of the value chain in structuring the PPP project scope.

The study investigates the effects of learning abilities, market changes and technological development in the field of the need for future skills.

This quantitative research is a descriptive study, as it describes the characteristics of variables. Non-probability sampling was applied. A survey was distributed online during May–July, 2021, using a cross-sectional timeframe, to managers (in three industries: FINTECH, FMCG and industrial/production field) who work with teams of Gen Z and Millennials. The data collected were analyzed using SPSS.

There is a significant positive relationship between learning abilities and future skills development, there is a significant positive relationship between technology development and future skills development, and there is a significant positive relationship between market changes and future skills development.

Data were collected through online surveys, focusing on three industries. This study neglects the use of qualitative data in order to gain further explanations regarding the main factors influencing employees' future skills development in times of globalization, advanced technology, global crisis, and the need for sustainability, the model of qualification for future jobs seems dynamic and controversial. This study's empirical evidence illustrates that future skills need to be developed for employees in order to affect their methods with regard to performing their role in the company.

New skills are necessarily emerging in the labor market. The maturity level of higher education institutions to promote these skills is questioned. Thus, this study develops empirical knowledge for educational institutions regarding the effects of learning abilities, market changes and technological development.

An adaptive slicing algorithm that can vary the layer thickness in relation to local geometry is presented. The algorithm is based on three fundamental concepts: choice of criterion for accommodating complexities of surfaces, recognition of key characteristics and features of the object, and development of a grouping methodology for facets used to represent the object. Four criteria, cusp height, maximum deviation, chord length and volumetric error per unit length, are identified and the layer thickness is adjusted such that one of the four is met. Next, key characteristics of the object, such as horizontal and vertical surfaces, pointed edges and ends, are identified based on the local changes in surface complexity, and slice based feature recognition is introduced to identify the nature of a feature, protrusion or depression, by studying the slice data. Note that the present approach uses information only from the tessellated model, and thus is different from current implementations. Finally, the concept of grouping of the facets based on their vertex coordinates is developed to minimize the number of searches for possible intersection of the facets with a slice plane. The slicing algorithm is interfaced with adaptive laminated machining and the stereolithography process through a CNC post processor and a hatching algorithm respectively. A comparison of the estimated surface quality and build time indicates that adaptive slicing produces superior parts in a shorter build time. The implementation of this work is protected under US Patent laws (Patent # 5,596,504, January 1997).