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The Industrial Revolution can be termed as the transformation of traditional industrial practices into new techniques dominated by the technologies available at that time. The first three industrial revolutions were driven respectively by mechanization, electrification, and automation which had gradually transformed the agrarian economy into a manufacturing-based economy. It helped in enhancing the lifestyle of the factory workers and the healthcare system, which improved the overall quality of living. The industries that adapted to the change witnessed a tremendous increase in the production of goods, competitive advantage, and cross-border business opportunities. While we are currently living to see the fourth industrial revolution (also known as Industry 4.0) unfolding around us, the world is poised for the next big leap, the fifth industrial revolution or Industry 5.0. Hence, the first half of the paper outlines the enabling technologies of Industry 4.0 and conceptualizes how they would act as the foundation for the fifth industrial revolution. The socio-economic challenges of the technologies and the need for Industry 5.0 technologies are also discussed. The second half of the paper outlines the prospective technologies of Industry 5.0, their potential applications from the perspective of industry leaders and scholars and conceptualizes how they can overcome the challenges of Industry 4.0. The definition of “sustainability trilemma” a new term coined by the authors, and the reasoning for calling the next industrial revolution “Industry 4.0S” (another new term) rather than Industry 5.0 are also presented.

Business process management (BPM) aims to optimize business processes to achieve better system performance such as higher profit, quicker response, and better services. BPM systems in Industry 4.0 are required to digitize and automate business process workflows and support the transparent interoperations of service vendors. The critical bottleneck to advance BPM systems is the evaluation, verification, and transformation of trustworthiness and digitized assets. Most of BPM systems rely heavily on domain experts or third parties to deal with trustworthiness. In this paper, an automated BPM solution is investigated to select and compose services in open business environment, Blockchain technology (BCT) is explored and proposed to transfer and verify the trustiness of businesses and partners, and a BPM framework is developed to illustrate how BCT can be integrated to support prompt, reliable, and cost-effective evaluation and transferring of Quality of Services in the workflow composition and management.

The world population is projected to reach 9 billion by 2050, which is 34% higher than it is now and the demand for agricultural food is expected to increase as well. Research has shown that the demand for soya beans is on the increase owing to its contribution in cooking oil, stock feed and other by-products. On average, Zimbabwe’s soya bean national output production is only enough to meet 30% of national demand, which is supplemented by imports from South Africa, Zambia and Malawi. Constraints in information gathering, storage, safeguarding, and sharing, environmental changes and escalations in input prices has become a catch phrase for soya bean supply systems failure. This study’s objective is to explore strategies which can be adopted by soya bean small to medium scale farmers to realise sustainability in their supply chains and build food security in Mashonaland Central Province of Zimbabwe. This study therefore proposes the integration of Blockchain Technology (hereafter: BCT) and Internet of Things (hereafter: IoT) to improve sustainability in the soya bean supply chain systems in Zimbabwe. The researchers adopted a pragmatism research philosophy premised on the mixed methods research approach because quantitative data alone is not sufficient to answer the research questions. Quantitative data were analysed using STATA 15 and NVivo version 16 was used to analyse qualitative data. Using Krejcie and Morgan (1970) a sample size of 375 farmers was randomly selected to respond to questionnaires. Six (6) AGRITEX officers and two (2) Agronomists were purposefully selected from the six (6) districts of Mashonaland Central Province and were interviewed. Findings from the research showed that there is minimal uptake of Artificial Intelligence (hereafter: AI) technologies in soya bean supply chains in Mashonaland Central Province which has slowed the improvements in production and sustainability of agro-supply chains. The study recommends the integration of blockchain and IoT technologies to improve sustainability in soya bean production in Zimbabwe.

Health care is undergoing a major transformation worldwide due to technological advancements and increase in number of diseases. In the wake of current pandemic Covid ‘19 impact across the Globe, stresses the need to overhaul the Health Management system in a large country like India. A country with two-thirds of population living in rural setting, their access to quality Health System is dubious. In Urban setting also the availability of affordable and accessible health care also left a lot to be of concern. Block Chain Technology integration in all the facets of Health care management can cut costs and dramatically improve accessibility and affordability for all segments of people in India. Suggested Block Chain Modules integration and implementation measures emanating from this study in delivering different medicines and paramedics support aims at rendering efficiency to this strained system. Hence this study acclaims on the key performance metrics on health care system to be integrated with the efficient block chain implementation in India.

The time capsule that would be opened in the future without third-party intervention was always a difficult issue. Although many researchers work on various systems, there are potential limitations, such as unreliable decryption period not entirely decentralised, which are difficult to estimate the needed data resources. In this post, we introduced a protocol and a safe cryptographic way to open a timely message in an advanced, decentralised environment to match in with several computing power conditions. The methodology also allows participants to gain extensive benefits of adding their computing resources, making our system more suited for applications in real life.

Through the propagation of technology in recent years, people communicate in a range of ways via multimedia. The use of multimedia technique in healthcare system also makes it possible to store, process and transfer the patient’s data presented in variety of forms such as images, text and audio through online using various smart objects. Healthcare organizations around the world are transforming themselves into more efficient, coordinated and user-centered systems through various multimedia techniques. However, the management of huge amount data such as reports and images of every person leads to increase the human efforts and security risks. In order to overcome these issues, IoT in healthcare enhances the quality of patients care and reduce the cost by allocating the medical resources in an efficient way. However, a number of threats can occur in IoT devices initiated by various intruders. Sometimes, in order to make their personal profit, even though the medical shop or pathology labs are not of good reputation, the doctors forced the patients to do the lab tests, or buy the medicines from those organizations only. Therefore, security should be at the staple of outlook in IoT elucidations. In order to prevent these issues, Blockchain technology has been encountered as the best technique that provides the secrecy and protection of control system in real time conditions. In this manuscript, we will provide a security framework of healthcare multimedia data through blockchain technique by generating the hash of each data so that any change or alteration in data or breaching of medicines may be reflected in entire blockchain network users. The results have been analyzed against conventional approach and validated with improved simulated results that offer 86% success rate over product drop ratio, falsification attack, worm hole attack and probabilistic authentication scenarios because of Blockchain technique.

In the early months of 2020, a fast-spreading outbreak was brought about by the new virus SARS-CoV-2. The uncontrolled spread, which led to a pandemic, illustrated the healthcare system’s slow response time to public health emergencies at that time. Blockchain technology was anticipated to be crucial in the effort to contain the COVID-19 pandemic. In that review, many potential blockchain applications were discovered; however, the majority of them were still in their infancy, and it couldn’t yet be predicted how they could contribute to the fight against COVID-19 through the use of platforms, access kinds, and consensus algorithms. Modern innovations such as blockchain and artificial intelligence (AI) were shown to be promising in limiting the spread of a virus. Blockchain could specifically aid in the battle against pandemics by supporting early epidemic identification, assuring the ordering of clinical information, and maintaining a trustworthy medical chain during disease tracing. AI also offered smart forms of diagnosing coronavirus therapies and supported the development of pharmaceuticals. Blockchain and AI software for epidemic and pandemic containment were analyzed in that research. First, a new conceptual strategy was proposed to tackle COVID-19 through an architecture that fused AI with blockchain. State-of-the-art research on the benefits of blockchain and AI in COVID-19 containment was then reviewed. Recent initiatives and use cases developed to tackle the coronavirus pandemic were also presented. A case study using federated intelligence for COVID-19 identification was also provided. Finally, attention was drawn to problems and prospective directions for further investigation into future coronavirus-like wide-ranging scenarios.