Call for paper: Visualizing IoT Business Data: Emerging Market Analysis and Risk Management

Visualizing IoT Business Data: Emerging Market Analysis and Risk Management

Business intelligence employs data visualization, data tools, infrastructure, business research, data mining, and best actions for making data-driven decisions in companies. Business intelligence is uncompromising because of the difficulty of analyzing many data sources, data breaches, and poor data quality. Wireless networking technologies, lower connected device costs, the rise of advanced data analytics, and more cloud platform use are all expected to boost the market growth. The IoT market is highly competitive due to numerous large and small firms working in domestic and international markets. Because of multiple technological behemoths in the industry, the market looks to be fragmented.

As a result, various micro and macro-level elements influencing IoT data visualization for business intelligence activities must be recognized. Data visualization is used to assess the achievement studies. IoT, a risk management framework, encompasses software tools, software deployment, managed services, and professional services that can assist in designing, implementing, operating, and improving an Internet of Things risk management framework for a communication services provider (CSP).

Enterprises must have an IoT risk strategy that assesses and manages risk. Consider IoT a component of the overall security and risk management portfolio, regularly reviewing and monitoring IoT risk. The recommended approach incorporates security into the IoT device life cycle as early as possible, both at the hardware and software levels. The complexity of many sources may provide access to BI.

By showcasing the latest advancements in this interdisciplinary field, the Special Issue aims to foster a deeper understanding of how IoT visualization can be strategically employed to support dynamic decision-making, enhance market analysis, and mitigate business risks in an increasingly complex and competitive environment.

List of Topic Areas

ML-driven IoT visualization for business Data Emerging Market Analysis and Risk Management analytics;
Multimodal data mining enabled IoT visualization for advanced business intelligence;
Advanced visual analytics using IoT visualization for Market Analysis and Risk Management;
Financial risk analysis using IoT visualization for advanced Market evaluation;
Big data analytics for decision-making through IoT visualization for Market Analysis and Risk Management;
AI-enabled data-driven IoT visual analytics for Market Risk Management;
Federated learning methodologies in IoT visualization for business Data Emerging Market Analysis and Risk Management analytics;
Business forecasting models using IoT visualization for Market Analysis and Risk Management;
Novel IoT visual exploration for business Data Emerging Market Analysis and Risk Management;
External dynamic macro-level characteristics in IoT visualization for Market Analysis and Risk Management.

Guest Editors

Dr. Edson Gwangwava, Department of Accounting and Finance, Chinhoyi University of Technology, Chinhoyi, Zimbabwe, edsongwava2525@yahoo.com

Dr. Mbizi Rangarirai, Department of Finance, Zimbabwe Open University Harare, Zimbabwe, rmbizi@zou.ac.zw

Dr. Haetham.H.Kasim Alkhaffaf, College of Administration and Economics, University of Mosul Mosul, Iraq, haitham_alkhafaf@uomosul.edu.iq

Submissions Information

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Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to “Please select the issue you are submitting to”.

Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.