The most complicated and expected issue to be handled in corporate firms, small-scale businesses, and investors’ even governments are financial crisis prediction. To this effect, it was of interest to us to investigate the current impact of the newly employed technique that is machine learning (ML) to handle this menace in all spheres of business both private and public. The study uses systematic literature assessment to study the impact of ML in financial crisis prediction. From the selected works of literature, we have been able to establish the important role play by this method in the prediction of bankruptcy and creditworthiness that was not handled appropriately by others method. Also, machine learning helps in data handling, data privacy, and confidentiality. This study presents a leading approach to achieving financial growth and plasticity in corporate organizations. We, therefore, recommend a real-time study to investigate the impact of ML in FCP.
The Internet of Things (IoT) is one of the leading forces in modern-day technology. The concept has been proposed to be a new way of interconnecting a multiplicity of devices and rendering services to a variety of applications. According to the industry’s insiders, IoT will make it possible to link transport, energy, smart cities, and healthcare together. The purpose of this paper is to understand the economics of the Internet of Things. It is meant to shed light on how world IoT applications can affect the information market. When every sector and industry of the world has been connected via this technology, what will become of the ICT niche? The information economic approach is currently being adopted and presented with its possible applications in IoT. Firstly, this paper reviews the kinds of economic models that have been designed for IoT services. Secondly, it focuses on the two major subject matters of information economics that are critical to IoT. While one considers the value of the information itself, the other addresses information with good pricing. Lastly, the paper proposes a game-theoretic model to examine the price competition of IoT-based services. We take a look at how these two sectors will fare against each, both at full capacity.
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