It is expected that website design can lead to online trust, although research that systematically examines such a relationship is little. In addition, far too little attention has been paid to understand the effect of website design on e-trust across gender. In this study, therefore, three elements of website design (visual design, information design, and navigation design) are examined for their effect on consumer trust in e-commerce. Using data collected from 532 online shoppers, the overall model was first tested using structural equation modeling (SEM) analysis. The research model was then tested for each gender group separately. The results of the study indicated that website design is an important factor in establishing trust in e-commerce. Our results further revealed that website information design is more important to males than females in forming e-trust, while website navigation design is more important to females …

This study seeks to understand the potential heterogeneous effects of corporate social responsibility on earnings management. Theoretical explanations for these effects tend to support both positive and negative effects, with different degree of assertiveness, while empirical studies align with the theoretical explanations in providing contradictory findings. We find that corporate social disclosure does in general restrict the size of discretionally accruals. This effect is larger in the upper part of the conditional distribution of discretionary accruals. In other words, firms that overuse discretionary accruals are disproportionally more constrained in their ability to continue to do so compared to firms that less often employ such practices. Furthermore, for the firms which apply relatively modest amount for earnings management, this constraining effect does not appear at all. Interestingly the effects of other determinants of earnings management seem to follow the same broadly defined pattern.

The purpose of this study was to see how non-antibiotic growth boosters such as Probiotic, Prebiotic, Synbiotic, and medicinal herbs (Mixture of Origanum majorana, Foeniculum vulgare, and Carum carvi in a 1:1:1 ratio) affected carcass yield, immune response, blood hematological, and biochemical parameters in broilers fed test diets with two dietary protein levels (normal and low). The research was conducted at Alexandria University, Poultry Research Center, Faculty of Agriculture. The trial lasted 42 days in total. A total of 500 one-day-old Cobb broiler chicks with similar average live body weight were assigned to one of ten treatment groups. Each treatment has five replicates with ten chicks each. Ten experimental diets were developed to be nearly is caloric and to provide all nutrients required for broiler growth throughout two stages of development: starter diets (1 - 21 days) and grower diets (22 - 42 days). Ten experimental diets were made up of five feed-additive programs and two amounts of crude protein (recommended or low, 85 percent of recommended) (control, probiotic, prebiotic, synbiotic and medicinal plants). Among the additives, synbiotic had a positive effect on the WBCs, RBCs, in general, especially the Fabricius bursa Under the conditions of the current study, synbiotic had a significant impact on hematological parameters, carcass yield, and immunological organs of broiler. Furthermore, more research is required to confirm the existing findings.

Digital technologies witnessed rapid advancements in many domains such as computing, programming, cloud computing, data storing, networking, satellite broadcasting, mobile technologies, but increasingly also in the natural sciences, such as medicine, biology, chemistry, pharmacy, etc. These advancements lead to a massive explosion in data volumes which expected to exceed 175ZB (175x1021 Byte) by end of the year 2025. When data size exceeds normal manageable storable sizes, it will be called “big data”. Organizing and analyzing this “big data” with appropriate tools would produce quite valuable results helping decisions and policymakers. Big data also can assist significantly improve the life quality of much of the world’s population. The United Nations, governments, non-profitable and other organizations are utilizing big data to assist achieving the UN’s Sustainable Development Goals (SDG), a set of 17 targets pertinent to protect the natural environment, fighting hunger and poverty, reducing inequality, improving health outcomes and other things that will make life better around the world. Big data analysis could be used in many ways to enhance the understanding of the progress towards the SDGs, specify how best to meet SDGs targets, and ensure accountability. The UN has set up a task team to explore how to use big data to help achieve the SDGs. A survey by the task team found that big data projects most frequently focused on the “no poverty” goal, it was found that mobile phone data was the most common data source.