An information system (IS) is a formal, sociotechnical, organizational system designed to collect, process, store, and distribute information. [1] From a sociotechnical perspective, information systems comprise four components: task, people, structure (or roles), and technology. [2] Information systems can be defined as an integration of components for collection, storage and processing of data, comprising digital products that process data to facilitate decision making [3] and the data being used to provide information and contribute to knowledge.
A computer information system is a system, which consists of people and computers that process or interpret information. [4] [5] [6] [7] The term is also sometimes used to simply refer to a computer system with software installed.
"Information systems" is also an academic field of study about systems with a specific reference to information and the complementary networks of computer hardware and software that people and organizations use to collect, filter, process, create and also distribute data. [8] An emphasis is placed on an information system having a definitive boundary, users, processors, storage, inputs, outputs and the aforementioned communication networks. [9]
In many organizations, the department or unit responsible for information systems and data processing is known as "information services". [10] [11] [12] [13]
Any specific information system aims to support operations, management and decision-making. [14] [15] An information system is the information and communication technology (ICT) that an organization uses, and also the way in which people interact with this technology in support of business processes. [16]
Some authors make a clear distinction between information systems, computer systems, and business processes. Information systems typically include an ICT component but are not purely concerned with ICT, focusing instead on the end-use of information technology. Information systems are also different from business processes. Information systems help to control the performance of business processes. [17]
Alter [18] [19] argues that viewing an information system as a special type of work system has its advantages. A work system is a system in which humans or machines perform processes and activities using resources to produce specific products or services for customers. An information system is a work system in which activities are devoted to capturing, transmitting, storing, retrieving, manipulating and displaying information. [20]
As such, information systems inter-relate with data systems on the one hand and activity systems on the other. [21] An information system is a form of communication system in which data represent and are processed as a form of social memory. An information system can also be considered a semi-formal language which supports human decision making and action.
Information systems are the primary focus of study for organizational informatics. [22]
Silver et al. (1995) provided two views on IS that includes software, hardware, data, people, and procedures. [23]
The Association for Computing Machinery defines "Information systems specialists [as] focus[ing] on integrating information technology solutions and business processes to meet the information needs of businesses and other enterprises." [24]
There are various types of information systems, : including transaction processing systems, decision support systems, knowledge management systems, learning management systems, database management systems, and office information systems. Critical to most information systems are information technologies, which are typically designed to enable humans to perform tasks for which the human brain is not well suited, such as: handling large amounts of information, performing complex calculations, and controlling many simultaneous processes.
Information technologies are a very important and malleable resource available to executives. [25] Many companies have created a position of chief information officer (CIO) that sits on the executive board with the chief executive officer (CEO), chief financial officer (CFO), chief operating officer (COO), and chief technical officer (CTO). The CTO may also serve as CIO, and vice versa. The chief information security officer (CISO) focuses on information security management.
The six components that must come together in order to produce an information system are: [26]
Data is the bridge between hardware and people. This means that the data we collect is only data until we involve people. At that point, data becomes information.
The "classic" view of Information systems found in textbooks [28] in the 1980s was a pyramid of systems that reflected the hierarchy of the organization, usually transaction processing systems at the bottom of the pyramid, followed by management information systems, decision support systems, and ending with executive information systems at the top. Although the pyramid model remains useful since it was first formulated, a number of new technologies have been developed and new categories of information systems have emerged, some of which no longer fit easily into the original pyramid model.
Some examples of such systems are:
A computer(-based) information system is essentially an IS using computer technology to carry out some or all of its planned tasks. The basic components of computer-based information systems are:
The first four components (hardware, software, database, and network) make up what is known as the information technology platform. Information technology workers could then use these components to create information systems that watch over safety measures, risk and the management of data. These actions are known as information technology services. [29]
Certain information systems support parts of organizations, others support entire organizations, and still others, support groups of organizations. Each department or functional area within an organization has its own collection of application programs or information systems. These functional area information systems (FAIS) are supporting pillars for more general IS namely, business intelligence systems and dashboards.[ citation needed ] As the name suggests, each FAIS supports a particular function within the organization, e.g.: accounting IS, finance IS, production-operation management (POM) IS, marketing IS, and human resources IS. In finance and accounting, managers use IT systems to forecast revenues and business activity, to determine the best sources and uses of funds, and to perform audits to ensure that the organization is fundamentally sound and that all financial reports and documents are accurate.
Other types of organizational information systems are FAIS, transaction processing systems, enterprise resource planning, office automation system, management information system, decision support system, expert system, executive dashboard, supply chain management system, and electronic commerce system. Dashboards are a special form of IS that support all managers of the organization. They provide rapid access to timely information and direct access to structured information in the form of reports. Expert systems attempt to duplicate the work of human experts by applying reasoning capabilities, knowledge, and expertise within a specific domain.
Information technology departments in larger organizations tend to strongly influence the development, use, and application of information technology in the business. A series of methodologies and processes can be used to develop and use an information system. Many developers use a systems engineering approach such as the system development life cycle (SDLC), to systematically develop an information system in stages. The stages of the system development lifecycle are planning, system analysis, and requirements, system design, development, integration and testing, implementation and operations, and maintenance. Recent research aims at enabling [30] and measuring [31] the ongoing, collective development of such systems within an organization by the entirety of human actors themselves. An information system can be developed in house (within the organization) or outsourced. This can be accomplished by outsourcing certain components or the entire system. [32] A specific case is the geographical distribution of the development team (offshoring, global information system).
A computer-based information system, following a definition of Langefors, [33] is a technologically implemented medium for recording, storing, and disseminating linguistic expressions, as well as for drawing conclusions from such expressions.
Geographic information systems, land information systems, and disaster information systems are examples of emerging information systems, but they can be broadly considered as spatial information systems. System development is done in stages which include: [34]
The field of study called information systems encompasses a variety of topics including systems analysis and design, computer networking, information security, database management, and decision support systems. Information management deals with the practical and theoretical problems of collecting and analyzing information in a business function area including business productivity tools, applications programming and implementation, electronic commerce, digital media production, data mining, and decision support. Communications and networking deals with telecommunication technologies. Information systems bridges business and computer science using the theoretical foundations of information and computation to study various business models and related algorithmic processes [35] on building the IT systems [36] [37] within a computer science discipline. [38] [39] [40] [41] [42] [43] [44] [45] [46] [47] [48] [49] [50] Computer information systems (CIS) is a field studying computers and algorithmic processes, including their principles, their software and hardware designs, their applications, and their impact on society, [51] [52] [53] whereas IS emphasizes functionality over design. [54]
Several IS scholars have debated the nature and foundations of information systems which have its roots in other reference disciplines such as computer science, engineering, mathematics, management science, cybernetics, and others. [55] [56] [57] [58] Information systems also can be defined as a collection of hardware, software, data, people, and procedures that work together to produce quality information.
Similar to computer science, other disciplines can be seen as both related and foundation disciplines of IS. The domain of study of IS involves the study of theories and practices related to the social and technological phenomena, which determine the development, use, and effects of information systems in organizations and society. [59] But, while there may be considerable overlap of the disciplines at the boundaries, the disciplines are still differentiated by the focus, purpose, and orientation of their activities. [60]
In a broad scope, information systems is a scientific field of study that addresses the range of strategic, managerial, and operational activities involved in the gathering, processing, storing, distributing, and use of information and its associated technologies in society and organizations. [60] The term information systems is also used to describe an organizational function that applies IS knowledge in the industry, government agencies, and not-for-profit organizations. [60]
Information systems often refers to the interaction between algorithmic processes and technology. This interaction can occur within or across organizational boundaries. An information system is a technology an organization uses and also the way in which the organizations interact with the technology and the way in which the technology works with the organization's business processes. Information systems are distinct from information technology (IT) in that an information system has an information technology component that interacts with the processes' components.
One problem with that approach is that it prevents the IS field from being interested in non-organizational use of ICT, such as in social networking, computer gaming, mobile personal usage, etc. A different way of differentiating the IS field from its neighbours is to ask, "Which aspects of reality are most meaningful in the IS field and other fields?" [61] This approach, based on philosophy, helps to define not just the focus, purpose, and orientation, but also the dignity, destiny and, responsibility of the field among other fields. [62]
Business informatics is a related discipline that is well-established in several countries, especially in Europe. While Information systems has been said to have an "explanation-oriented" focus, business informatics has a more "solution-oriented" focus and includes information technology elements and construction and implementation-oriented elements.
Information systems workers enter a number of different careers:
There is a wide variety of career paths in the information systems discipline. "Workers with specialized technical knowledge and strong communications skills will have the best prospects. Workers with management skills and an understanding of business practices and principles will have excellent opportunities, as companies are increasingly looking to technology to drive their revenue." [63]
Information technology is important to the operation of contemporary businesses, it offers many employment opportunities. The information systems field includes the people in organizations who design and build information systems, the people who use those systems, and the people responsible for managing those systems. The demand for traditional IT staff such as programmers, business analysts, systems analysts, and designer is significant. Many well-paid jobs exist in areas of Information technology. At the top of the list is the chief information officer (CIO).
The CIO is the executive who is in charge of the IS function. In most organizations, the CIO works with the chief executive officer (CEO), the chief financial officer (CFO), and other senior executives. Therefore, he or she actively participates in the organization's strategic planning process.
Information systems research is generally interdisciplinary concerned with the study of the effects of information systems on the behaviour of individuals, groups, and organizations. [68] [69] Hevner et al. (2004) [70] categorized research in IS into two scientific paradigms including behavioural science which is to develop and verify theories that explain or predict human or organizational behavior and design science which extends the boundaries of human and organizational capabilities by creating new and innovative artifacts.
Salvatore March and Gerald Smith [71] proposed a framework for researching different aspects of information technology including outputs of the research (research outputs) and activities to carry out this research (research activities). They identified research outputs as follows:
Also research activities including:
Although Information Systems as a discipline has been evolving for over 30 years now, [72] the core focus or identity of IS research is still subject to debate among scholars. [73] [74] [75] There are two main views around this debate: a narrow view focusing on the IT artifact as the core subject matter of IS research, and a broad view that focuses on the interplay between social and technical aspects of IT that is embedded into a dynamic evolving context. [76] A third view [77] calls on IS scholars to pay balanced attention to both the IT artifact and its context.
Since the study of information systems is an applied field, industry practitioners expect information systems research to generate findings that are immediately applicable in practice. This is not always the case however, as information systems researchers often explore behavioral issues in much more depth than practitioners would expect them to do. This may render information systems research results difficult to understand, and has led to criticism. [78]
In the last ten years, the business trend is represented by the considerable increase of Information Systems Function (ISF) role, especially with regard to the enterprise strategies and operations supporting. It became a key factor to increase productivity and to support value creation. [79] To study an information system itself, rather than its effects, information systems models are used, such as EATPUT.
The international body of Information Systems researchers, the Association for Information Systems (AIS), and its Senior Scholars Forum Subcommittee on Journals (202), proposed a list of 11 journals that the AIS deems as 'excellent'. [80] According to the AIS, this list of journals recognizes topical, methodological, and geographical diversity. The review processes are stringent, editorial board members are widely-respected and recognized, and there is international readership and contribution. The list is (or should be) used, along with others, as a point of reference for promotion and tenure and, more generally, to evaluate scholarly excellence.
A number of annual information systems conferences are run in various parts of the world, the majority of which are peer reviewed. The AIS directly runs the International Conference on Information Systems (ICIS) and the Americas Conference on Information Systems (AMCIS), while AIS affiliated conferences [81] include the Pacific Asia Conference on Information Systems (PACIS), European Conference on Information Systems (ECIS), the Mediterranean Conference on Information Systems (MCIS), the International Conference on Information Resources Management (Conf-IRM) and the Wuhan International Conference on E-Business (WHICEB). AIS chapter conferences [82] include Australasian Conference on Information Systems (ACIS), Scandinavian Conference on Information Systems (SCIS), Information Systems International Conference (ISICO), Conference of the Italian Chapter of AIS (itAIS), Annual Mid-Western AIS Conference (MWAIS) and Annual Conference of the Southern AIS (SAIS). EDSIG, [83] which is the special interest group on education of the AITP, [84] organizes the Conference on Information Systems and Computing Education [85] and the Conference on Information Systems Applied Research [86] which are both held annually in November.
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Computing is any goal-oriented activity requiring, benefiting from, or creating computing machinery. It includes the study and experimentation of algorithmic processes, and the development of both hardware and software. Computing has scientific, engineering, mathematical, technological, and social aspects. Major computing disciplines include computer engineering, computer science, cybersecurity, data science, information systems, information technology, and software engineering.
Computer science is the study of computation, information, and automation. Computer science spans theoretical disciplines to applied disciplines.
Software engineering is a field within computer science focused on designing, developing, testing, and maintening of software applications. It involves applying engineering principles and computer programming expertise to develop software systems that meet user needs.
Reconfigurable computing is a computer architecture combining some of the flexibility of software with the high performance of hardware by processing with flexible hardware platforms like field-programmable gate arrays (FPGAs). The principal difference when compared to using ordinary microprocessors is the ability to add custom computational blocks using FPGAs. On the other hand, the main difference from custom hardware, i.e. application-specific integrated circuits (ASICs) is the possibility to adapt the hardware during runtime by "loading" a new circuit on the reconfigurable fabric, thus providing new computational blocks without the need to manufacture and add new chips to the existing system.
A management information system (MIS) is an information system used for decision-making, and for the coordination, control, analysis, and visualization of information in an organization. The study of the management information systems involves people, processes and technology in an organizational context. In other words, it serves, as the functions of controlling, planning, decision making in the management level setting.
Theoretical computer science is a subfield of computer science and mathematics that focuses on the abstract and mathematical foundations of computation.
The following outline is provided as an overview of and topical guide to software engineering:
A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management, operations and planning levels of an organization and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e., unstructured and semi-structured decision problems. Decision support systems can be either fully computerized or human-powered, or a combination of both.
Social computing is an area of computer science that is concerned with the intersection of social behavior and computational systems. It is based on creating or recreating social conventions and social contexts through the use of software and technology. Thus, blogs, email, instant messaging, social network services, wikis, social bookmarking and other instances of what is often called social software illustrate ideas from social computing.
Enterprise architecture (EA) is a business function concerned with the structures and behaviours of a business, especially business roles and processes that create and use business data. The international definition according to the Federation of Enterprise Architecture Professional Organizations is "a well-defined practice for conducting enterprise analysis, design, planning, and implementation, using a comprehensive approach at all times, for the successful development and execution of strategy. Enterprise architecture applies architecture principles and practices to guide organizations through the business, information, process, and technology changes necessary to execute their strategies. These practices utilize the various aspects of an enterprise to identify, motivate, and achieve these changes."
The International Federation for Information Processing (IFIP) is a global organisation for researchers and professionals working in the field of computing to conduct research, develop standards and promote information sharing.
A system architecture is the conceptual model that defines the structure, behavior, and more views of a system. An architecture description is a formal description and representation of a system, organized in a way that supports reasoning about the structures and behaviors of the system.
Design science research (DSR) is a research paradigm focusing on the development and validation of prescriptive knowledge in information science. Herbert Simon distinguished the natural sciences, concerned with explaining how things are, from design sciences which are concerned with how things ought to be, that is, with devising artifacts to attain goals. Design science research methodology (DSRM) refers to the research methodologies associated with this paradigm. It spans the methodologies of several research disciplines, for example information technology, which offers specific guidelines for evaluation and iteration within research projects.
Information technology infrastructure is defined broadly as a set of information technology (IT) components that are the foundation of an IT service; typically physical components, but also various software and network components.
A view model or viewpoints framework in systems engineering, software engineering, and enterprise engineering is a framework which defines a coherent set of views to be used in the construction of a system architecture, software architecture, or enterprise architecture. A view is a representation of the whole system from the perspective of a related set of concerns.
NIST Enterprise Architecture Model is a late-1980s reference model for enterprise architecture. It defines an enterprise architecture by the interrelationship between an enterprise's business, information, and technology environments.
Informatics is the study of computational systems. According to the ACM Europe Council and Informatics Europe, informatics is synonymous with computer science and computing as a profession, in which the central notion is transformation of information. In some cases, the term "informatics" may also be used with different meanings, e.g. in the context of social computing, or in context of library science.
Information technology (IT) is a set of related fields that encompass computer systems, software, programming languages, data and information processing, and storage. IT forms part of information and communications technology (ICT). An information technology system is generally an information system, a communications system, or, more specifically speaking, a computer system — including all hardware, software, and peripheral equipment — operated by a limited group of IT users, and an IT project usually refers to the commissioning and implementation of an IT system. IT systems play a vital role in facilitating efficient data management, enhancing communication networks, and supporting organizational processes across various industries. Successful IT projects require meticulous planning, seamless integration, and ongoing maintenance to ensure optimal functionality and alignment with organizational objectives.
Visual computing is a generic term for all computer science disciplines dealing with the 3D modeling of graphical requirements, for which extenuates to all disciplines of the Computational Sciences. While this is directly relevant to the software visualistics of Microservices, Visual Computing also includes the specializations of the subfields that are called Computer Graphics, Image Processing, Visualization, Computer Vision, Computational Imaging, Augmented Reality, and Video Processing, upon which extenuates into Design Computation. Visual computing also includes aspects of Pattern Recognition, Human-Computer Interaction, Machine Learning, Robotics, Computer Simulation, Steganography, Security Visualization, Spatial Analysis, Computational Visualistics, and Computational Creativity. The core challenges are the acquisition, processing, analysis and rendering of visual information. Application areas include industrial quality control, medical image processing and visualization, surveying, multimedia systems, virtual heritage, special effects in movies and television, and ultimately computer games, which is central towards the visual models of User Experience Design. Conclusively, this includes the extenuations of large language models (LLM) that are in Generative Artificial Intelligence for developing research around the simulations of scientific instruments in the Computational Sciences. This is especially the case with the research simulations that are between Embodied Agents and Generative Artificial Intelligence that is designed for Visual Computation. Therefore, this field also extenuates into the diversity of scientific requirements that are addressed through the visualized technologies of interconnected research in the Computational Sciences.
This glossary of computer science is a list of definitions of terms and concepts used in computer science, its sub-disciplines, and related fields, including terms relevant to software, data science, and computer programming.
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: CS1 maint: multiple names: authors list (link)Computer science spreads out over several related disciplines, and shares with these disciplines certain sub-disciplines that traditionally have been located exclusively in the more conventional disciplines
The Domain of Computer Science: Even though computer science addresses both human-made and natural information processes, the main effort in the discipline has been directed toward human-made processes, especially information processing systems and machines
Computer science may be in the core of these processes. The actual question is not to ignore disciplinary boundaries with its methodological differences but to open the disciplines for collaborative work. We must learn to build bridges, not to start in the gap between disciplines
... Information Systems grew out of the need to bridge the gap between business management and computer science ...
In 1999, Clemson University established a (graduate) degree program that bridges the arts and the sciences... All students in the program are required to complete graduate level work in both the arts and computer science
The field of information systems as a separate discipline is relatively new and is undergoing continuous change as technology evolves and the field matures
From this we have concluded that IS is a science, i.e., a scientific discipline in contrast to purportedly non-scientific fields
People from other fields are saying they have discovered information processes in their deepest structures and that collaboration with computing is essential to them.
In 1988, a degree program in Computer Information Systems (CIS) was launched with the objective of providing an option for students who were less inclined to become programmers and were more interested in learning to design, develop, and implement Information Systems, and solve business problems using the systems approach
Though the other components' connections to the software and their role in the overall design of the system are critical, the core consideration for a software-intensive system is the software itself, and other approaches to systematizing design have yet to solve the "software problem"—which won't be solved until software design is understood scientifically