Sensor Informatics for Performance Analysis of Modelling Digital Business Applications

Dear Colleagues,

Sensor informatics is an interdisciplinary field concerned with sensors, physical, chemical, and biological data. It includes the study, design implementation, and development of applications based on sensor informatics to perform various digital business and information technology systems tasks. Sensors have been extensively used in multiple business applications such as manufacturing, logistics, transportation, etc. With the development of industrialization, researchers have been studying how data from the sensors are collected, analysed, and used for decision making or problem solving. Such a practice is known as an informatics approach and has several advantages. Some of these advantages include interfaces that are easy to use and understand, easy to deploy and require minimal training, an adaptive manner in which different types of sensors can be used together, minimal maintenance costs, and good scalability.

Digital business platforms are often used to create business values to enhance customer value through digital technologies. Several challenges need to be addressed while analysing the performance of digital business applications. Some include innovation management, user experience management, idea generation, and exploring innovative software technologies, among many more. The major focus here should be customer benefits. From an in-depth perspective, researchers can play a major role here. Hence, using sensor informatics for performance analysis and the modelling of digital businesses adds significant value. The ultimate goal of research in this field is to improve the development and management of quality digital business applications. Sensor informatics provides relevant knowledge to run the business efficiently, including cost-efficient real-time processes, decision support systems, data collection, storage, etc. It has been used in the performance analysis of modelling systems and has proven to be an integral part of digital business applications. Additionally, the use of sensor informatics must address various business problems, internal business processes, products, services, and it should efficiently reinform the business policies to attain the business goals. It should establish a significant overlap between the business-related problems and data informatics-based solutions.

This Special Issue explores how sensor informatics is used for performance analysis and the modelling of business applications. It also explores sensor informatics' motivations, solutions, methods, and application scenarios. Researchers and practitioners are invited to present their solutions.

• Innovative sensor informatics tools and techniques for developing digital business models.
• Sensor informatics for performance enhancement, innovation, and digitization in digital business.
• Enhancing the performance of marketplace models using sensor informatics and big data solutions.
• Opportunities and challenges of sensor informatics for performance analysis of digital business applications.
• Digital business innovation and sensor informatics.
• Smart sensor informatics and its application in emerging business applications.
• Business operation research with big data and sensor informatics.
• Sensor informatics assisted predictive models for enhancing the business performance.
• Assessing the performance of a digital business using big data and artificial intelligence approaches.
• Factors affecting the performance enhancement of digital business and appropriate solutions.
• Business process design with sensor informatics.
• Sensor informatics for SWOT analysis in business applications.

Prof. Dr. Yaser Daanial Khan
Prof. Dr. Hao Lin
Dr. Dhanapal P.D.D. Dominic
Guest Editors

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