Services Computing and Services Computing Systems

Services Computing has become a cross-discipline that covers the science and technology for bridging the gap between business services and IT services. The underlying technology suite includes Web services and service-oriented architecture (SOA), cloud computing, business consulting methodology and utilities, business process modeling, transformation and integration. This scope of Services Computing covers the whole life-cycle of service provision that includes business componentization, services modeling, services creation, services realization, services annotation, services deployment, services discovery, services composition, services delivery, service-to-service collaboration, services monitoring, services optimization, as well as services management. The goal of Services Computing is to enable IT services and computing technology to perform business services more efficiently and effectively

A service computing system is an IT service encapsulation system built on SOA by applying service computing technology. The system is based on the implementation, utilization, and development of service computing technology. service computing system is a service system enabled by service computing technology, meaning this system focuses on the enablement of the concept of service systems through the model, technology, architecture and optimization & analysis. In short, this is a system that uses computing technology to build service systems

The topic covers Services Computing; Services Computing Systems; Web Services; Microservices; Service-Oriented Architecture; Services Lifecycle; Business Process Management and Integration; Business Grid and Cloud Computing; Enterprise Modeling and Management; Service-Oriented Consulting Methodology; Services Delivery Platform and Methodology; Application Services and Standards; Security, Privacy, and Trust in Services; IT Services Management; Service Science, Management and Engineering; Service System for Enterprise; Cloud Computing.

Smart Services Systems and Engineering

Smart service systems transform service systems by enabling the co-creation of smart products and smart services. In smart service systems, smart products take the role of boundary objects that digitally mediate the interactions of service providers and service consumers and enable the co-creation of individualized value propositions. The emergent embedding of smart products into service systems will have transformational impacts on service systems in practice. Researchers must appropriately engineer them in order to produce valuable smart service systems.

Smart Service Systems Engineering investigates solutions for systematically designing and developing smart service systems to address multiple issues in digital business transformation, such as designing service systems with humans in mind (rather than just technology), fostering transdisciplinary research, and forging new types of partnerships between diverse stakeholders.

Conceptual modeling and systematic development of smart services and smart products, as well as these integration into digital business, are the primary features of this field. Innovative business modeling is the driving force behind these smart services.

The topic covers Big Data Analytics; Business Intelligence; Smart Campus; Smart City; Human-Machine Communication and Interface; Smart Government; Systems Engineering; Smart Service System; Artificial Intelligence; Decision Support System; Data science; Intelligent and Autonomous Systems; Case Study, Test Bed and Pilot Project

Digital Security, Forensic and Cyber Law

Digital Security refers to various ways of protecting computer's internet account and files from intrusion by an outside user. Digital Security is the protection of one’s digital personality, as it represents the physical identity on the network you are operating on or the internet service in use. Digital Security includes the tools which one uses to secure his/her identity, asset and technology in the online and mobile world

Digital forensics (sometimes known as digital forensic science) is a branch of forensic science encompassing the recovery and investigation of material found in digital devices, often in relation to computer crime. Digital Forensics is defined as the process of preservation, identification, extraction, and documentation of computer evidence which can be used by the court of law. It is a science of finding evidence from digital media like a computer, mobile phone, server, or network. It provides the forensic team with the best techniques and tools to solve complicated digital-related cases. Digital Forensics helps the forensic team to analyzes, inspect, identifies, and preserve the digital evidence residing on various types of electronic devices.

Cyberlaw is the area of law that deals with the Internet's relationship to technological and electronic elements, including computers, software, hardware and information systems (IS). Cyberlaws prevent or reduce large scale damage from cybercriminal activities by protecting information access, privacy, communications, intellectual property (IP) and freedom of speech related to the use of the Internet, websites, email, computers, cell phones, software and hardware, such as data storage devices

The topic covers Cyber Media; Cyber Society; Social Media; Cyber Criminal; Digital Forensics; Cyber Law; Information Security

Digital Transformation and Innovation

In recent years, digital transformation has emerged as an important phenomenon in strategic IS research as well as for practitioners. At a high level, digital transformation encompasses the profound changes taking place in society and industries through the use of digital technologies. At the organizational level, it has been argued that firms must find ways to innovate with these technologies by devising “strategies that embrace the implications of digital transformation and drive better operational performance”.

Digital transformation is a process that aims to improve an entity by triggering significant changes to its properties through a combination of information, computing, communication, and connectivity technologies. Most of the technologies mentioned refer to social, mobile, analytics, cloud, internet of things, platforms, internet, and blockchain. These combinations play a central role in the creation and reinforcement of disruptions at the society and industry levels. These disruptions trigger strategic responses on the part of organizations. Organizations use digital technologies to alter the value creation paths they have previously relied upon to remain competitive. To that end, they must implement structural changes and overcome barriers that hinder their transformation effort. These changes lead to positive impacts for organizations as well as, in some instances, for individuals and society, although they can also be associated with undesirable outcomes.

The topic covers: Business Information System; e-Business and e-Commerce; Internet Marketing; Information Technology Innovation; Computational Advertising; Digital Value; Digital Business Model; Digital Business Model Innovation; Entrepreneurship and Startup

The topic covers Business Information System; e-Business and e-Commerce; Internet Marketing; Information Technology Innovation; Computational Advertising; Digital Value; Digital Business Model; Digital Business Model Innovation; Entrepreneurship and Startup

Disruptive and Emerging Digital Technologies

In recent years Disruptive and Emerging Digital Technologies such as Blockchain, IoT, Data Science for Digital Business, and Metaverse become an inevitable issues for the world of industry and government in the era of digital transformation. The use of these technologies will be the backbone for industry and government to be able to provide the best service for consumers or society.

The topic covers Metaverse; Blockchain; IoT; Data Science for Digital Business


The topic covers other area/subjects that are not grouped in the list

The topic covers Digital Media, Game and Learning Technologies; Digital Signal Processing; Probability, Stochastic Systems and Its Application; Everyday Robots; Speech and Natural Language Technology; Geographic Information System; Very Large Scale Integration; Green Computing; Edge Computing; Others