Smart Technological Innovations in Enterprise
and Economic Systems
Submission due: 31 October, 2020
Notification of final acceptance: 31 March, 2020
Final papers: 31 May, 2021
Publication date: determined by the Editor-in-Chief
About the issue
In the Internet of Things (IoT), all smart devices empowered with data analytics, such as laptops, sensors, smart cars, and wearable devices, are connected via wireless/wired networks, changing our work and lifestyle. With the rapid development of IoT, an edge computing paradigm is emerging as an attractive solution for processing the data of IoT applications. To reduce the end-to-end latency and traffic load in 5G systems, integrating Mobile Edge Computing (MEC) in 5G networks supports a variety of innovative applications and services. MEC can be used to connect and control IoT devices remotely, analyze and provide real-time provisioning and analytics.
With the rise of global economic and Electronic Commerce (EC), the planning and deployment of efficient inter-organizational for value chain processes have become important. Radio-frequency identification (RFID), Near Field Communication (NFC), and related wireless technologies are evaluated to be one of the greatest technological innovations in the twenty-first century. In the past few years, wireless and context-awareness technology have led to much hope and optimism. The mainstream press hails these innovations as the avant-garde in technology and business. The goal of Real-Time Enterprise (RTE) is obtaining the right information to the right person at the right time with “real time” technology. Empowering the RTE should bring about quick and correct decisions, and enhanced agility and adaptability. In fact, the wireless and context-awareness technology would be helpful for companies to learn, evolve, and achieve the RTE capability. Hence, this special issue attempts to investigate the successful critical factors for successful systems or devices in RTE environment. In addition, this special issue also wants to understand the direct and indirect effects of using these smart technologies to build the Enterprise, Political and Economic Systems around the smart cities and societies.
Additionally, to fulfill the requirements of authentication, confidentiality, integrity, availability, and non-repudiation, the development of Enterprise, Political and Economic Systems (EPES) needs lightweight cryptography to reduce workloads and improve the performance. In other words, when distributing a large number of devices and transmitting massive data, it will increase the workloads of the Internet and calculations in edge computing; therefore, the challenge is to achieve higher performance with lower power consumption. The intelligent green communication network can reach optimal performance as well as lowering down energy consumption; it could reduce transmission if there were Internet repeaters or other better calculation techniques between sensors and edge Computing. Despite the importance of performance evaluation of using Smart Technological Innovations (STI), this special issue invites researchers to publish selected original articles presenting intelligent trends to solve new challenges of intelligent services and system management problems.
This special issue also is interested in review articles as the state-of-the-art of this topic, showing recent major advances and discoveries, significant gaps in the research and new future issues. With a general focus on STI in EPES, this special issue covers topics shown as follows.
Methodologies, and Techniques
AIoT (Artificial Intelligence of Things ) methods for Industry 4.0
Artificial Intelligent (AI)
Big Data and Machine Learning
Cloud Computing in MEC
Data Mining and Deep Learning for production monitoring
Intelligent green communication network designs and implementations for smart city
IoT technology with Design, Deployment, and Performance Evaluation
Security, privacy, and Quality of Service (QoS)/Quality of Experience (QoE) in MEC
Smart Alerts and Notifications in Industry
Smart sensors and communications for smart city
AI and Deep Learning applications
Big data methods for the Enterprise
eHealth and Ambient Assisted Living
FinTech and Robo-advisor
Green IoT and Computing Service
Internet of Vehicles
Smart Home and Smart City
5G Green Implementations and testbed issues
Submissions to the special issue will be screened by the Special Issue Editors to ensure that they conform to the quality standards of Enterprise Information Systems. Papers that do not pass this initial screening will be immediately returned to the authors. Reviewers will apply those standards in forming recommendations for acceptance, revision, or rejection. A maximum of two revisions will be invited. Papers should be formatted with Enterprise Information Systems style (see here).
The submission deadline is October 31, 2020. The prospective contributors should submit their papers directly to the online submission system. When submitting, authors should choose the Special Issue (Smart Technological Innovations in Enterprise and Economic Systems) when prompted within the submission form.
Chia-Chen Chen, Ph.D. (Corresponding Guest Editor)
Department of Management Information Systems
National Chung Hsing University, Taichung City, Taiwan
Dr. Chen is a Professor of Management Information Systems at National Chung Hsing University, Taiwan. She received her Ph.D. in Information Management from National Chiao-Tung University in Taiwan. Her current research interests focus on information management, data mining, deep learning, context awareness, human behavior, and social interactions. Dr. Chen’s research is published or is forthcoming in Computers and Human Behavior, Library High Tech, Information Sciences, Future Generation Computer Systems, Computers & Education, Interactive Learning Environments, Telematics and Informatics, Electronic Commerce Research and Applications, Information Fusion, Expert Systems with Applications, Neural Computing, and Applications, and many national and international conference proceedings.
Carmen Cámara, Ph.D.
Department of Computer Science
Carlos III University of Madrid, Madrid, Spain
Dr. Cámara is a Ph.D. researcher at the Computer Security Lab (COSEC) of the Carlos III University of Madrid (UC3M). Carmen has specialized in Computer Science & Biomedical Engineering. She holds a degree in Computer Engineering, a Master in Computer Science with a specialization in Artificial Intelligence, and a Ph.D. in Computer Science, all of three from Carlos III University of Madrid and a Master in Biomedical Engineering from the Technical University of Madrid. Her interests include the study, development, and application of techniques to provide cybersecurity in e-health, biometry, artificial intelligence, neuroimaging, neural engineering, and computational neuroscience.
Patrick C. K. Hung, Ph.D.
Department of Business and Information Technology
Ontario Tech University, Canada
Dr. Patrick C. K. Hung is a Professor and Director of International Programs at the Faculty of Business and Information Technology at Ontario Tech University, Canada. He is an Honorary International Chair Professor at National Taipei University of Technology, Taiwan. He is currently working with the College of Technological Innovation at Zayed University on several smart city and cybersecurity research projects in the United Arab Emirates. He is also a Visiting Researcher at the University of São Paulo, Brazil and National Technological University (UTN)-Santa Fe, Argentina. Patrick worked with Boeing Research and Technology at Seattle on aviation services-related research with two U.S. patents on mobile network dynamic workflow system. Before that, he was a Research Scientist with the Commonwealth Scientific and Industrial Research Organization in Australia. He also worked in the software industry in Toronto. He is a founding member of the IEEE Technical Committee on Services Computing, and the IEEE Transactions on Services Computing. He is an editorial board member for the IEEE Transactions on Engineering Management, an associate editor for Electronic Commerce Research and Applications as well as he is coordinating editor of the Information Systems Frontiers. He has a Ph.D. and Master in Computer Science from Hong Kong University of Science and Technology, a Master in Management Sciences from the University of Waterloo, Canada and a Bachelor in Computer Science from the University of New South Wales, Australia. He also chairs the Social Robots - Robotics and Toy Computing Mini-track and Computing in Companion Robots and Smart Toys Symposium in the Hawaii International Conference on System Sciences (HICSS).