Calls for Papers (special): International Journal of Information System Modeling and Design (IJISMD)


Special Issue On: Envisioning Data Analytics for Web Services

Submission Due Date
12/15/2022

Guest Editors
Dr. Ahmed J. Obaid, Assistant Professor at Faculty of Computer Science and Mathematics, University of Kufa Najaf, Iraq (ahmed.aljanabi@nust.edu.iq)
Dr. Zdzislaw Polkowski, Adjunct Professor, Jan Wyzykowski University, Wroclaw University of Economics and Business, Poland, European Union (z.polkowski@polkowski.edu.pl)
Dr. Adriana Burlea-Schiopoiu, Department of Management, Marketing and Business Administration, Doctor of Economics, Universitatea din Craiova, Romania (adriana.burlea@edu.ucv.ro)

Introduction

Cognitive services are one of the fastest-growing sectors in today's digital world. The market is expected to improve insights and user experiences to boost operational efficiencies. Cognitive advantages have established themselves as a serious challenge for differentiators. Understanding and enhancing client experiences enable successful firms to use cognitive streets. Mental health services are inextricably related to cloud-based systems. The major providers in these fields, Amazon, Microsoft, and Cloud, offer a highly flexible service in new frontiers in online cognitive services. They supply not only the areas but also imagery, video, and text analysis for web creation.


Cognitive computing is a computer-intensive procedure for perplexing mental service organizations' approaches. This type of recognition refers to machines carrying out intelligence processing solutions. They provide building elements for democratizing the entire area to establish a powerful cognitive system. Each has its advantages and disadvantages, yet they all have similar capabilities. With new applications and start-ups, a trend is rising across all industries to define a cognitive services approach. This technology typically includes processing massive volumes of data in decision-making to adapt performance improvement. As a result, this computing is already paving the way for AI success in various applications. This is entirely owing to the current strong link between computing and AI. The cognitive web is a design philosophy that combines driven computational paradigms with biological and linguistic development. It is a fast-evolving field with fuzzy systems as an additional network. There's also the claim that guardians take on new C-level responsibilities. It uses all technologies to give supervision and accountability that has to be developed. The challenges that data analysis faces include obtaining data, where all data is collected systematically rather than dynamically, resulting in significant time consumption. Another major issue is obtaining the same data from many sources; because there are so many sources, the same data is transferred multiple times; as a result, researchers are analyzing this to extract unique information and eliminate duplicated data.



Objective
Corporate leaders and policymakers are interested in exploring new boundaries in online cognitive services. Many governments and commercial organizations have established guidelines and best practices to provide safeguards in various ways. As a result, existing legal frameworks are scrambling to keep up with new developments and methodologies in the context of the cognitive web. To supply both ethics and corporate ideals, it is clear that generating trustworthy and responsible cognitive capabilities is required. Based on the foregoing, we invite academics to submit original research articles and review papers for the current Special Issue that will address the difficulties businesses are currently facing in data analytics.

Recommended Topics
Contributions are invited that provide perspectives on hot topics within this theme, including, but not restricted to:
  • Exploring the Cognitive Services for Next-Generation Applications
  • Advanced Decision Making Systems: The Automation Approach
  • Ethics and Guidelines for Cognitive Web Services
  • Insights of Artificial Intelligence in Digital Service Platforms
  • Integration of Big Data into the Emerging Web Services
  • Effect of Web Semantic Approaches towards Cognitive Business
  • Envisioning Knowledge Extraction Methods: Current Challenges and Applicable Solutions
  • Cognitive Frameworks for Emerging Business Process Modelling
  • Information on Data Used in Logic, Involved in Reaching Industrial Decisions
  • Cognitive Design and Modelling for Enterprise Developments
  • Cognitive Technology for Data Analytic Methodologies
  • Evaluation Metrics for Design and Modelling on Information Systems


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Envisioning Data Analytics for Web Services on or before December 15th, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

This is a full open access journal. Authors of manuscripts that are accepted to publish in this special issue will be expected to pay the article processing charge.

Open Access Resources:

All inquiries should be directed to the attention of:
Dr. Ahmed J. Obaid
Guest Editor
International Journal of Information System Modeling and Design (IJISMD)
E-mail: ahmed.aljanabi@nust.edu.iq

Special Issue On: Empowering Future Generation of E-Government Through Business Process Modeling

Submission Due Date
12/20/2022

Guest Editors
Dr. Raja Krishnamoorthi, CMR Engineering College, India
Dr. A. Shanthini, SRM Institute of Science and Technology, India
Dr. Bouziane Brik, Burgundy (Bourgogne) University, France

Introduction
The emerging advances in new sensors and wireless technologies is driving the revolution in IoT applications. However, the real business value of IoT applications lies in data analytics rather than hardware novelties. As a matter of fact, IoT and data are intrinsically linked to each other. Because the data produced and consumed by the IoT devices are growing at an exponential rate. The influx of data is mainly due to the widespread adoption of IoT devices worldwide. Many of the users connect with smart devices on an everyday basis. Thus, IoT-based applications are used across various sectors. The data produced from the IoT devices can only be turned into valuable insight if appropriately analyzed, bringing IoT data analytics into the picture for consumer engagement and business intelligence. The conclusions derived from the IoT devices are basically in the form of patterns, trends, and statistics that assists businesses in proactively engaging their customers with their products and implementing effective decision-making processes.

Practically, IoT data analytics possess a prominent role in the success of business applications and investments. The massive amount of data collected from sensors and connected devices provides a roadmap for value creation. It helps to forecast valuable information regarding the consumers, products and services, environmental conditions, corporate assets, and numerous other factors affecting the business processes. By effectively implementing big data analytics for the stream of IoT data, organizations can acquire the business intelligence that enhances the consumer experience, uncover and eliminate inefficiencies, detect and mitigate operational risks, and explore new revenue opportunities. Such that the firms can revolutionize the true value of IoT data analytics. However, the greatest challenge that businesses face while leveraging IoT data analytics is data accessibility. The process of managing, aggregating, and storing different kinds of data acquired from multiple sensors is often a time consuming and complex process. Besides, data integration gets even more complicated when a huge amount of data is streaming in from the IoT systems and devices that are not developed for compatibility.

Objective
The other possible barriers to IoT data analytics security and high-cost measures. At the same time, there are numerous possibilities wherein businesses can immensely benefit from the application and the use of IoT data analytics. With the advances in research and development in this background, there are many emerging business areas in which IoT data analytics can be applied to acquire maximum value. It promotes the business processes to acquire improved revenue, customer engagement and competitive gain. In this context, this special issue aims to explore the advances in IoT data analytics for consumer engagement and business intelligence.

Recommended Topics
  • Role of IoT data analytics in future of business intelligence and consumer engagement
  • Modern business intelligence with IoT data analytics
  • Enhancing the customer experience with IoT data analytics
  • Automation of business workflows with IoT data analytics
  • Consumer product usage analysis with IoT data
  • Converging IoT data analytics and artificial intelligence for consumer engagement and business intelligence
  • Opportunities and challenges of IoT data analytics in consumer engagement
  • Impact of IoT data analytics on future business era
  • Operation optimization and automation of business processes using IoT data analytics
  • IoT data analytics for sustainable business management


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Empowering Future Generation of E-Government Through Business Process Modeling on or before December 20th, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

This is a full open access journal. Authors of manuscripts that are accepted to publish in this special issue will be expected to pay the article processing charge.

Open Access Resources:

All inquiries should be directed to the attention of:
Dr. Raja Krishnamoorthi
Dr. A. Shanthini
Dr. Bouziane Brik
Guest Editors
International Journal of Information System Modeling and Design (IJISMD)
Email: rajakrishnamoorthi@ieee.org; shanthia@srmist.edu.in; bouziane.brik@u-bourgogne.fr

Special Issue On: E-commerce and Emerging Technologies for Future Business Era

Submission Due Date
1/30/2023

Guest Editors
Dr. C. Chandru Vignesh
Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology
(drcchandruvignesh@veltech.edu.in)

Dr. C.B. Sivaparthipan
Adhiyamaan College of Engineering
(sivaparthipan@ieee.org)

Dr. Adhiyaman Manickam
University of Moncton
(adhiyaman.m@ieee.org)


Introduction
Currently, e-commerce is a space that is continuously developing and upgrading as digital technologies enhance and organisations battle against one another to stay ahead of the competition. Since the digital world has been accelerating forward, the future of business is directed by new advanced roles, contemplations, expectations, and preferences. In this contemporary world, e-commerce has effectively changed and has become a good choice for most businesses. Besides Financial technology or fintech, it is essential for the future business era as this disruptive technology can transform traditional financing processes across many industries. Further, financial technologies enhance operations, augment flexibility, reduce costs, serve customers faster, enhance decisions, and build a strong customer relationship. The emerging and rapidly growing financial technology have potential advantages to collect in real-time. It revolutionises how all the business firms are functioning and how products and services generate a novel economy. Both the commercial and professional industry has been transforming business operations and workflows. Therefore, the future e-commerce sector, financial technology, and economic field are no exception. The most recent trends of financial technology benefits e-commerce in various ways, such as customer services and revenue, service scope, security, upgraded payments systems, increased rate of approval, convenience, and valuable advice. These advances in the business sector optimise efficiency, connectivity, high-end monetary services, attractive and accurate payment systems, excellent accessibility, and compelling pieces of advice through robots. With that, recent developments in financial technologies including open banking, big data analytics, voice bot, Natural Language Processing (NLP), Robotic Process Automation, Artificial Intelligence, and Machine Learning, security systems, platform as a service, and others are significantly expected to be the essential aspect in the future of business era.

Objective
These technological applications in the e-commerce sector will primarily rely on digital currency and automation, which will provide unique solutions, automation, and personalisation for customers. These technical features also help eliminate challenges such as language barriers, performing repetitive tasks, data maintenance, security issues, and many other things. Therefore, considering the current situation, online businesses or e-commerce is the requirement for tomorrow’s digital era due to several reasons such as economic stability, increase in e-commerce purchases, the immense growth of digital acquisition channels, and a robust business model. In this context, this special issue intends to explore E-commerce and emerging technologies for the future business era. We invite researchers, practitioners, business experts, market analysts, and scholars from technology and business disciplines to present novel and innovative solutions for this particular issue.

Recommended Topics
  • Role of fintech for e-commerce in the future digital era
  • Future of e-commerce systems: strategies and innovative technologies
  • Emerging financial technologies and digitalisation of the financial industry
  • AI for driving operational and financial efficiency
  • Financial technologies and e-business: opportunities and challenges
  • Innovative applications of fintech for the future retail industries
  • Advances in e-business for the coming digital era: challenges and risks
  • Cybersecurity for e-commerce: recent trends & future advances
  • Big data for e-commerce applications: recent advances & trends
  • Emerging Trends in the e-commerce and e-business industry
  • Forecasting e-commerce trends with innovative technologies
  • Role of financial technologies for new business models for future
  • Big data analytics for secure financial services in e-business
  • Disruptive technologies in economic sectors: opportunities & risks


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on E-commerce and Emerging Technologies for Future Business Era on or before January 30th, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. This is a full open access journal. Authors of manuscripts that are accepted to publish in this special issue will be expected to pay the article processing charge.

Open Access Resources:

All inquiries should be directed to the attention of:
Dr. C. Chandru Vignesh
Guest Editor
International Journal of Information System Modeling and Design (IJISMD)
Email: drcchandruvignesh@veltech.edu.in

Dr. C.B. Sivaparthipan
Guest Editor
International Journal of Information System Modeling and Design (IJISMD)
Email: sivaparthipan@ieee.org

Dr. Adhiyaman Manickam
Guest Editor
International Journal of Information System Modeling and Design (IJISMD)
Email: adhiyaman.m@ieee.org

Special Issue On: Developments in Secure and Resilient Industrial Cyber Physical Systems based on Intelligent and Ontological Methods

Submission Due Date
6/30/2023

Guest Editors
Dr. Kamruzzman M.M
Jouf University
(m.m.kamruzzaman@ieee.org)

Dr. Shuai Liu
Hunan Normal University
(liushuai@hunnu.edu.cn)

Dr. Muhammad Aslam Jarwar
Sheffield Hallam University
(a.jarwar@shu.ac.uk)


Introduction
Intelligent and Semantic Ontological Methods (ISOM) are more prevalent in modelling of Industrial Cyber Physical Systems (CPS) due to the complex nature of inter-connections of various digital and analogue components, communication technologies and information processing systems. In fact, better access control, secure and resilient procedures improve the trustworthiness, reliability, and quality of CPS, so that it can be applied in monitoring and controlling of sensitive application areas such as automation of traffic flow management, water resources management, automated production, automated self-guided vehicles in factories, supply chain management, etc. Thus, the major objective of intelligent and ontological methods is to model security and resiliency features for Industrial CPS applications. Cyber Physical systems (CPS) is a rapidly growing research area, it provides the foundation of critical infrastructure for Industrial Internet of Things (IIoT), Industry 5.0 and Social Machines. The CPS systems are already popular for creating the founding infrastructure for smart transportation, autonomous vehicles, smart personalized healthcare, emergency response and disaster recovery, smart gird, water and oil resources management. The industrial CPS involves the interaction of digital and non-digital objects in the physical and non-physical world. The CPS components are connected with communication technologies and monitored and controlled through embedded systems loaded with sensors, actuators and information systems. The data in the industrial CPS are received from the heterogenous nodes and processed at the Edge devices and cloud systems for tailored services and effective decisions. Due to highly important and critical area of applications the CPS components including information and infrastructure are the favourite choice for cyber-attacks. Also, one of the main reasons for industrial CPS attack are the human factors that focus on the how they interact with the CPS components. The cyber attackers may snoop the CPS data when it transferred over the communication channels, or they can access the nodes without authorization and can inject the false information. The attacker can also add spoofing node in the industrial CPS infrastructure for manipulating the behaviour of application. Additionally, due to the attack on industrial CSP, the system can stop working or sends wrong data about the industrial component such as machine. The some of the cyber-attacks on CPS can be very dangerous. For example, attack on the automatic traffic controlling CPS, attack on the CPS managing water resources and electricity.

Objective
The cyber-attacks on the Industrial CPS can be further categorized into two types: Attacks on the CPS information and attacks on the infrastructure. In order to protect Industrial CPS from cyber-attacks semantic ontologies, knowledge graphs and AI methods can be developed to prevent Industrial cyber-attacks, and incorporating resiliency and self-healing features in case the attacks cannot be prevented. The primary objective of the proposed special issue is to attract, collate and compile the high-quality original research work that fosters the modelling of secure and resilient industrial CPS using ontologies, knowledge graphs and AI based methods. Furthermore, ideally the proposed SI expect to contain real data obtained from the existing industrial CPS and or lab scale data in order to evaluate the proposed ontological and AI based secure and resilient industrial CPS models.

Recommended Topics
  • Modelling security and resiliency features using semantic ontologies for CPS.
  • Ontologies for managing security and resiliency for smart transport, smart healthcare, smart grid and IIoT applications.
  • Ontologies and AI based techniques for prevention and detection and response to cyber-attacks in CPS applications environment.
  • Semantic ontologies for modelling access and control mechanism in CPS applications.
  • AI and Ontologies based IoT middleware and Frameworks for self-healing CPS.
  • Human factor modelling using AI and Ontologies based methods for preventing cyber-attacks in CPS.
  • Knowledge graphs for securely processing and sharing of CPS data with stakeholders for emergency response CPS applications.
  • AI and ontologies based multi agents for responding cyber-attack in mission critical CPS applications.
  • Ontologies for modelling and analysing risk and trustworthiness of nodes for mission critical CPS services.
  • Ontologies and machine learning based frameworks for securely and privately processing personal data at the mobile ad-hoc edge devices for personal CPS applications.
  • Securing CPS information and infrastructure using AI and ontologies enabled architectures and methodologies.


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Developments in Secure and Resilient Industrial Cyber Physical Systems based on Intelligent and Ontological Methods on or before June 30th, 2023. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. This is a full open access journal. Authors of manuscripts that are accepted to publish in this special issue will be expected to pay the article processing charge.

Open Access Resources:

All inquiries should be directed to the attention of:
Dr. Kamruzzaman M.M.
Guest Editor
International Journal of Information System Modeling and Design (IJISMD)
Email: m.m.kamruzzaman@ieee.org

Dr.Shuai Liu
Guest Editor
International Journal of Information System Modeling and Design (IJISMD)
Email: liushuai@hunnu.edu.cn

Dr. Muhammad Aslam Jarwar
Guest Editor
International Journal of Information System Modeling and Design (IJISMD)
Email: a.jarwar@shu.ac.uk