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The purpose of this paper is to examine the impact of recent civil justice reforms in five jurisdictions including Singapore, Malaysia, Hong Kong, the UK and Canada on the resolution of civil and commercial disputes.

The study, drawing on a comparative cross‐jurisdictional methodology, reviews the scope and nature of such reforms and examines lessons learned regarding implementation.

The findings of the research indicate that such reforms are most effective where regular evaluation to fine‐tune mediation rules occurs concurrently and in conjunction with the implementation of such reforms.

The limitation of this research is that it is confined to already existing court case statistics, judicial commentaries and reviews of the five selected jurisdictions.

The practical implications of the study find that in general, civil justice reforms have made some progress in achieving the aims of encouraging cost‐effective, expeditious and amicable case handling within the civil justice system.

The paper contributes to a global analysis of effective approaches to civil justice reform and in particular reforms in mediated case handling.

The purpose of this study is to provide the reader with a full study of the bat algorithm, including its limitations, the fields that the algorithm has been applied, versatile optimization problems in different domains and all the studies that assess its performance against other meta-heuristic algorithms.

Bat algorithm is given in-depth in terms of backgrounds, characteristics, limitations, it has also displayed the algorithms that hybridized with BA (K-Medoids, back-propagation neural network, harmony search algorithm, differential evaluation strategies, enhanced particle swarm optimization and Cuckoo search algorithm) and their theoretical results, as well as to the modifications that have been performed of the algorithm (modified bat algorithm, enhanced bat algorithm, bat algorithm with mutation (BAM), uninhabited combat aerial vehicle-BAM and non-linear optimization). It also provides a summary review that focuses on improved and new bat algorithm (directed artificial bat algorithm, complex-valued bat algorithm, principal component analyzes-BA, multiple strategies coupling bat algorithm and directional bat algorithm).

Shed light on the advantages and disadvantages of this algorithm through all the research studies that dealt with the algorithm in addition to the fields and applications it has addressed in the hope that it will help scientists understand and develop it.

As far as the research community knowledge, there is no comprehensive survey study conducted on this algorithm covering all its aspects.

This study delves into the factors that influence the practice of female genital mutilation in West Africa, as well as the health implications. An online cross-sectional study was conducted with the use of electronic questionnaire. The study was targeted at adult females who were between the age of 18 and 50 years old. The Uniform Resource Locator (URL) of the electronic questionnaire was administered on social media platforms (Facebook and WhatsApp) only through convenience and snowball sampling techniques. A sample size of 3,119 adult females participated in the study. Spearman rank correlation (r) was employed to test the hypotheses. Responses were gathered from adult females whom originates from nine West African countries which are Nigeria, Ghana, Mali, Liberia, Benin, Cameroon, Chad, Gambia and Guinea. The study found a strong and positive relationship between culture and the practice of female genital mutilation in West Africa, and there was a weak and positive relationship between religion and education, and the practice of female genital mutilation in West Africa. Despite the health risks, it was revealed that female genital mutilation remained uninterrupted in West Africa. The findings of this study imply that the culture of the people, religious belief system and education are critical factors in efforts to be considered when discouraging the practice of female genital mutilation. Therefore, for healthy living, the practice of female genital mutilation should be discouraged in the study area. Based on the study outcome, recommendations were suggested.

Greenhouse effects and the need for cost savings necessitate that an organization's information technology (IT) managers design IT equipment acquisition and service provisioning policies to reduce carbon footprint and cost. Analyzing the influencing factors that influence stakeholders' attitudes toward adopting green information technology (Green-IT) is an important input in designing these policies. In essence, the research aims to investigate into the relationship between these factors and how they influence policy-makers' behavior in Nigerian manufacturing industries.

The study develops a model based on the norm activation model (NAM) and the theory of planned behavior (TBP) to investigate the factors that influence decision-makers' intention in adopting Green-IT. A quantitative approach using a survey method is carried out to gather opinions of IT decision-makers using a random sampling technique. Partial least squares structural equation modeling (PLS-SEM) technique is applied to test the structural model and measurement model.

The study's findings support the use of the behavior model for Green-IT adoption. The study's finding indicates that subjective norms, perceived behavior control (PBC), manager's attitude, personal norm (PN), awareness of adverse consequences and the ascription of responsibility (AR) positively influence intention to adopt Green-IT.

The development and validation of the model are the study's theoretical contributions. The study reviewed the existing literature on the utilization of Green-IT to better understand the intention to adopt Green-IT in Nigeria. It added to the literature by identifying factors that can influence it as well as theoretical underpinnings that can fit the intentions of decision-makers. The scientific community and the industrial companies would have the chance to investigate how this integrated behavioral intention model promotes the use of Green-IT. The research predictors explained about 70.20% of the variance in the behavioral intention to adopt Green-IT.

Research offers practical implications and recommendations for top management practitioners of the manufacturing industries. Business leaders can use the results of this study to develop an effective strategic IT policy for the successful adoption of Green-IT practices for enhanced productivity. The study found that decision-makers' Green-IT attitudes had a substantial impact on their behavioral intention to adopt Green-IT. The study highlighted the importance of the top management attitude toward green products to facilitate the adoption of Green-IT practices in manufacturing industries in Nigeria. Thus, the positive and significant attitude of policy-makers is a necessary tool toward the successful adoption of Green-IT. Therefore, to foster an environmentally sustainability friendly atmosphere, Nigeria's manufacturing industries shall strive to strengthen the decision-makers' attitude toward practicing Green-IT in their respective domains. The findings showed that AR, AQ, environmental concern (EC), perceived behavior and perceived behavior are critical factors to be considered in an organization.

According to the findings, an individual's Green-IT attitude has a substantial impact on the environment as social behavior. As a result, the positive and essential attitude of the social sector is a key tool for efficient Green-IT implementation. Nigeria's social activists must try to create awareness campaigns to boost decision-makers' attitudes toward implementing Green-IT in their various regions to develop a friendlier environment. Thus, the identified factors can be of great help to the social sector in designing and implementing successful environmental-friendly policies that could support the adoption of Green-IT practices.

The current research look at Green-IT adoption in manufacturing industries of West African countries. The study offers practical implications and recommendations for top management practitioners of the manufacturing industries, government policy-makers and organizations to enhance the use of Green-IT for mitigating environmental degradation. Recommendations for future research are stated as concluding remarks.

Drawing upon resource-based view (RBV) and attribution theoretical lenses, this chapter provides a paradigm for examining the interplay among environmental investment towards green innovation, environmental disclosure as well as firm performance using the structural equation modelling (SEM) methodology. This chapter demonstrate a growing environmental awareness among stakeholders of the relevance of environmental performance to share value. It is also suggested that the mediating power of environmental disclosure between environmental investment and firm value as well as incremental goodwill is crucial. The findings of this chapter provide critical implications for several stakeholders that if environmental performance is hypothesised to affect the firm's value, companies may take proactive measures to avert potential environmental-related violations. Besides, investors may trade based on the evidence as to how firm value and its goodwill from acquisition will be affected by news of its environmental performance.

In 2014, the European Union (EU) adopted the non-financial reporting Directive (2014/95/EU) making the disclosure of certain non-financial topics mandatory for large listed companies. They are required to report on policies, actions and outcomes regarding their environmental impact, social and employee matters, impact on human rights and corruption. Denmark introduced mandatory corporate social responsibility (CSR) reporting already in 2009, while Germany had no specific legislation on CSR reporting before 2017. Some authors allege that regulation positively impacts CSR reporting, while others argue that the voluntary nature of CSR reporting is essential (Romolini, Fissi, & Gori, 2014). Critics of mandatory reporting claim that non-financial reporting should develop bottom-up, as mandatory one-size-fits-all solutions are inappropriate given the differences among companies (ICC, 2015). The aim of this chapter is to evaluate the effect of legislation on reporting quality by comparing Denmark with a long tradition for mandatory reporting and Germany introducing mandatory rather recently. However, a rich body of literature exists on factors impacting CSR reporting other than legislation. These are among others: firm size, ownership structure, industrial sector and culture (Hahn & Kühnen, 2013.)

The chapter applies a content analysis of 150 CSR reports from German and Danish listed companies between 2008 and 2017 from four different industrial sectors. The chapter finds that mandatory reporting improves overall report quality by lifting the quality floor, yet, without lifting the quality ceiling. Size is important as improvements in reporting are largest in small and medium-sized companies. Companies in environmentally sensitive sectors tend to disclose more relevant environmental information than companies in less sensitive sectors. Both culture and ownership structure has a moderating effect on report quality.