The Economics of Internet of Things: An Information Market System

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

The Impacts of Machine Learning in Financial Crisis Prediction

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. &nbsp

What Impact does Internet of Things have on Project Management in Project based Firms?

The highest benefit of IT spans through the enabling of personnel to attain their organizational goals. However, acquiring the IT skills that were not aware of in the past will boost and enhance the personnel for greater performance. IoT technology gives understanding from novel data generated and gives solutions. Therefore, allowing organizations to access new strategies via technological innovation will bring about efficiency and productivity with the project lifecycle. However, this project aimed at assessing the impact of IoT on PM in project-based organizations. A qualitative method of investigation was adopted through interviews and discussions with 9 selected respondents. The result shows the benefit and the usefulness of IoT in project-based organizations. This was assessed using the five project management model namely initiating, planning, executing, control and monitoring, and closing. It is established that the impact of IoT can be seen using any of the five stages. Hence, this study identifies the most critical elements of any project-based organization to include people, possessing on personnel and how their impact the invention of project-based organizations

How Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis

In the face of the agricultural sector\u27s challenges, food security with an increasing human population and high demand for food is a significant problem. Traditional methods used by farmers have not been sufficient to meet the food requirements of the growing population. As a result, the agricultural sector has begun to deploy artificial intelligence to meet the demand for food and sustainability. This study was conducted to examine how AI improves farmers\u27 productivity and sustainability. Data were analyzed using centering resonance analysis, t-test, ANOVA, and text mining news articles from 2014-2019 in Africa, Asia, Europe, and North America. Results show that AI is used primarily to increase productivity and efficiency and secondarily to address labor shortages and environmental sustainability concerns. The results at the regional level reflect the active adoption of AI in North America and Europe, with increasing efforts in Asia and Africa