Industry 4.0 is a concept that originated from the German industry, and whose essence is the use of technology for efficient production. In business today, the emergence of Industry 4.0 for production, and its related technologies, such as the Internet of Things (IoT) and cyber-physical systems, amongst others, have, however, a negative impact on environmental sustainability as a result of air pollution, the poor discharge of waste, and the intensive use of raw materials, information, and energy. The method used in this study is an analysis of a literature review of manuscripts discussing topics related to Industry 4.0 and environmental sustainability published between 2000 and 2020. There is currently a gap existing between the actual and the desired situation, in that production occurs in a weak sustainability model, and, therefore, this research debates the effects on environmental sustainability and the challenges facing Industry 4.0. Four scenarios are discussed: a deployment scenario, an operation scenario, integration and compliance with sustainable development goals, and a long-run scenario. The results indicate that there is a negative relationship related to the flow of the production process from the inputs to the final product, including raw materials, energy requirements, information, and waste disposal, and their impacts on the environment. However, the integration of Industry 4.0 and the sustainable development goals enhance environmental sustainability to create ecological support that guarantees high environmental performance with a more positive impact than before. This paper will help stakeholders and companies to provide solutions to the existing environmental challenges that can be mediated through adopting new technologies. The novelty of this study is its depiction of Industry 4.0 and its technologies integrated with sustainable development goals to create a sustainable Industry 4.0 combining environmental protection and sustainability.

In a world of nonstop developing technology, Blockchain has become a trusted tool to apply transparency in the public sector. The consensus mechanism provides trusted data that can support clear and adjusted as well as well-structured procedures. Nowadays, the public sector can increase trust by adapting Blockchain applications in the services offered to be e-government portals. In this paper, the researchers review the literature to identify the potential use cases and application of Blockchain in e-government services. This new technology along with its related applications will be discussed and defined. Moreover, the possibilities of using Blockchain in the public sector and its impact on organizational transformation, financial management, and performance are increasing. The study concluded that the use of blockchain technologies and applications is still limited in the public sector. Obstacles and barriers are related mostly to (security and privacy) and law and by-laws support. This paper will provide a useful reference for researchers in blockchain applications and their impact on e-government and propose future research questions that need to be addressed to inform how the public sector should approach the blockchain technology adoption.

This paper shows an analysis of products attributes, customer satisfaction and brand loyalty in the electronic appliances sector. The main goal of the research is to determine the influence of a product’s physical and service-related attributes on customer satisfaction and eventually on brand loyalty. In particular, the objective of this paper is to answer the following question: if the attributes of a product influence in a customer satisfaction and in that way on a brand’s loyalty? We defined Customer satisfaction as the satisfaction of customers with any products. Therefore, the satisfaction was examined through a survey using questionnaires. The population included all customers of two of the branches from SmartBuy (one of the biggest companies in the IT sector in Jordan) in Amman. We designed the questionnaire and distributed it randomly to the respondents in two branches of the mentioned company. The questionnaire conducted was distributed to 150 respondents; we excluded 43 questionnaires from the analysis due to the incomplete data. So (107) questionnaires were valid for the study. The results show a correlation between the main factors, but more extensive researches in terms of the number of companies used in sampling must be conducted to verify this relation due to more factors mostly statistically insignificant.