The central concepts of information meaning, embodied cognition and semiotics are hugely relevant to contemporary organisations and personal and social lives. However, these concepts are not well understood and are frequently under-represented, misrepresented, and their importance seriously underplayed in the study of management. This is particularly noticeable in the study of the information systems and digital technologies that underpin so much of business operations, personal and social life, organisation, communication and management today. This book seeks to fill the obvious gap. It provides detailed understanding of fundamental concepts and develops a useable, integrative semiotics framework. The framework is grounded in rich social theory and philosophy, and, as the book demonstrates, provides a valuable exploratory and explanatory framework for researchers. This takes shape as a 12-step research process, that has the general features of most research methodologies but also provides distinctive rich resources for in-depth research into semiotically related phenomena. It will be of great interest to academics undertaking research in digital technologies and business model innovation, as well as scholars of research methodology, organisation studies, HRM, marketing and information systems.

Semiotics, the science of signs, has long been recognised as an important discipline for understanding information and communications. Moreover it has found wide application in other areas of computer science, as it offers an effective insight into organisations and the computer systems that support them. An organisation may be viewed as a system of information and communication in which human actors, with the assistance of information technology, are able to process, represent, store and consume information. Computer systems that fit into an organisation and that support and enhance its performance and competitiveness, can be better delivered if semiotic principles are understood and applied. In this book, first published in 2000, semiotic methods are introduced and illustrated through three major case studies, which demonstrate how information systems can be developed to meet business requirements and support business objectives. It will appeal to academics, systems developers and analysts.

"This book assembles semiotics and artificial intelligence techniques in order to design new kinds of intelligence systems; it changes the research field of artificial intelligence by incorporating the study of meaning processes (semiosis), from the perspective of formal sciences, linguistics, and philosophy"--Provided by publisher.

A theory of HCI that uses concepts from semiotics and computer science to focus on the communication between designers and users during interaction. In The Semiotic Engineering of Human-Computer Interaction, Clarisse Sieckenius de Souza proposes an account of HCI that draws on concepts from semiotics and computer science to investigate the relationship between user and designer. Semiotics is the study of signs, and the essence of semiotic engineering is the communication between designers and users at interaction time; designers must somehow be present in the interface to tell users how to use the signs that make up a system or program. This approach, which builds on--but goes further than--the currently dominant user-centered approach, allows designers to communicate their overall vision and therefore helps users understand designs--rather than simply which icon to click. According to de Souza's account, both designers and users are interlocutors in an overall communication process that takes place through an interface of words, graphics, and behavior. Designers must tell users what they mean by the artifact they have created, and users must understand and respond to what they are being told. By coupling semiotic theory and engineering, de Souza's approach to HCI design encompasses the principles, the materials, the processes, and the possibilities for producing meaningful interactive computer system discourse and achieves a broader perspective than cognitive, ethnographic, or ergonomic approaches. De Souza begins with a theoretical overview and detailed exposition of the semiotic engineering account of HCI. She then shows how this approach can be applied specifically to HCI evaluation and design of online help systems, customization and end-user programming, and multiuser applications. Finally, she reflects on the potential and opportunities for research in semiotic engineering.

Drawing meaningful conclusions from organisational data is challenging, and theoretical frameworks can often illuminate information in fresh and useful ways. This book is one of the first to demonstrate how organisational semiotics can be applied to business informatics and information systems. Semiotics, a long-established discipline of signs, offers a rich philosophical and theoretical foundation for understanding information systems. This book demonstrates how applying the framework of semiotics to an organisation can provide insights into its communication needs, and as a result, enhance the design of its information system. The authors demonstrate how organisations collect, process, represent, store and consume information through a complex system which is aligned to support its objectives and enhance performance. Organisational Semiotics for Business Informatics clearly introduces the basic principles and describes a set of methods and techniques rooted in organisational semiotics. These have been applied to business applications; demonstrated through real life case studies. This ground-breaking book has the potential to transform the theoretical understanding of information systems into the basis of a scientific discipline.

Organizational Semiotics: Evolving a Science of Information Systems covers such issues as: -Fundamental concepts such as 'information', 'data', 'message', 'communication', 'knowledge', 'organization', 'system' and so on; -Properties of signs vital to organizational functioning, such as their meanings, the intentions they express and the valuable social consequences they produce; -'Architecture' of organizations when they are viewed as information systems, based on their semiotics features; -Understanding language in organizational contexts, for example, the limitations on the language used to conduct business affairs; -The empirical study of communications for requirements elicitation; -Applying semiotic categories (e.g. physical, empiric, syntactic, semantic, pragmatic, social) to various problems; -Organizational knowledge representation; -Business process re-engineering methods and the design of e-commerce systems.

Semiotics is the science of signs: graphical, such as pictures; verbal (writing or sounds); or others such as body gestures and clothes. Computer semiotics studies the special nature of computer-based signs and how they function in use. This 1991 book is based on ten years of empirical research on computer usage in work situations and contains material from a course taught by the author. It introduces basic traditional semiotic concepts and adapts them so that they become useful for analysing and designing computer systems in their symbolic context of work. It presents a novel approach to the subject, rich in examples, in that it is both theoretically systematic and practical. The author refers to and reinterprets techniques already used so that readers can deepen their understanding. In addition, it offers new techniques and a consistent perspective on computer systems that is particularly appropriate for new hardware and software (e.g. hypermedia) whose main functions are presentation and communication. This is a highly important work whose influence will be wide and longlasting.

Cybersemiotics not only builds a bridge between science and culture, it provides a framework that encompasses them both.

This book invites readers to embark on a journey into the world of agency encompassing humans, other organisms, cells, intracellular molecular agents, colonies, populations, ecological systems, and artificial autonomous systems. We combine mechanistic and non-mechanistic approaches in the analysis of the function and evolution of organisms, their subagents, and multi-organism systems, and in this way offer a theoretical platform for integrating biosemiotics with both natural science and the humanities/social sciences. Agents are autonomous systems that incorporate knowledge on how to make sense of their environment and use it to achieve their goals. The functions of all agents are supported by mechanisms at the lowest level; however, the explanatory power of mechanistic analysis is not sufficient for complex agents. Non-mechanistic methods rely on the goal-directedness of agents whose dynamics follow self-stabilized dynamic attractors. The properties of attractors depend on stable or slowly changing factors, and such dependencies can be interpreted as sign relations if they are adaptive in nature. Agents can replace or redirect mechanisms on demand in order to preserve their functions; for performing higher-level semiotic functions, mechanisms are thus only means. We assume that mechanism and semiosis are not mutually exclusive, and that simple agents can interpret signs mechanistically. This assumption allows us to extend semiotic analysis to all agents, including ribosomes in cells, computers, and robots. This book challenges established traditions in natural science and the humanities/social sciences: semiotics no longer appears as restricted to humans and rational thinking, and biology is no longer limited to rely exclusively on mechanistic reasoning.

Considers what computers can and cannot do, analysing how computer sign systems compare to humans through a concept of reflexivity.