Managing Information In Complex Organizations Semiotics And Signals Complexity And Chaos

This seminal work presents an effective design for processing information through five stages from data to actionable knowledge in order to influence behavior within organizations. The authors incorporate such concepts as evolution, semiotics, entropy, complexity, emergence, crisis, and chaos theory in an intriguing alternative to crisis management that can be applied to any organization. Their model shows how to evaluate and share information to enable the organization to avoid disaster rather than simply respond to it. Additionally, the text presents the first attempt at a multi-disciplinary view of information processing in organizations by tying associated disciplines to their respective impacts on the information process. Illustrations used in the text include an overlay that demonstrates how the non-use of information between agencies contributed to the 9/11 disaster, and an appendix addresses Organizing for Cyberterrorism.

It seems as if attempts to use knowledge to understand and manage social networks are everywhere. Millions, if not billions, of dollars are being spent in an attempt to derail terrorist networks, with much of it being invested in making sense of massive data streams. There is growing concern that much of this money is being squandered on approaches that will never deliver on their promises. Our armed forces are being prepared to combat terrorist threats by the introduction of “network centric approaches” and “digital battlefields” – basically attempts to provide warfighters with a complete picture of the battlespace. However, the experience of practitioners suggests that the “data smog” this creates is actually counterproductive. From the arena of politics, the recent invigorating battle between senators Clinton and Obama has thrown the spotlight on the deficiencies in political polling (Economist, 2008b). Changes in the structure of the situation (e.g. high turnouts) have thrown the whole industry into chaos. Complexity is being discounted and the results are stark. The conclusion formed in the media was that the situation was wildly unpredictable (so anyone’s to win), and ended up having real consequences for the Democratic challenger in November 2008 (Baldwin, 2008). Turning to business, we find that Société Générale recently lost $7.2bn as the result of a single rogue trader making a series of bogus transactions amid turbulent markets in 2007 and 2008. There has been much speculation on what was known, when it was known, and who knew it. In other words, we have speculation that this is an example of the role of knowledge in the mismanagement of social networks – with spectacular effect. At a glance, the problems highlighted above seem positively overwhelming. Where do you start? But start we must. Simple “cause and effect” thinking doesn’t seem to be able to cut the mustard. There is broad agreement that even if the Kyoto targets were fully met, on schedule, by 2100 it would only delay the warming of the planet by six years (Parry et al., 1998). We need to utilize knowledge in new ways…or maybe uncover insights from old ways. It is hard to think of something more worthy of attention that the role of knowledge in the management of complex systems. In Volume 4 of the Managing the Complex Series we have brought together seventeen essays from authors around the globe to explore the complex systems view of knowledge and its role in social networks. Contributors explore such topics as: the limitations to our knowledge of complex systems, the transfer of knowledge from local to global levels, collaborative knowledge generation, decision making in complex multi-stakeholder situations, organizational learning and innovation, all through the lens of the emerging field of complexity science. The editors hope that this volume will give theorists further avenues to explore in their attempts to understand knowledge creation, maintenance and distribution, and also provide practitioners with new tools to apply in the complex and messy real world.

Our rapidly changing world has forced business practitioners, in corporation with academic researchers, to respond quickly and develop effective solution methodologies and techniques to handle new challenges in supply chain systems. Supply Chain Optimization, Management and Integration: Emerging Applications presents readers with a rich collection of ideas from researchers who are bridging the gap between the latest in information technology and supply chain management. This book includes theoretical, analytical, and empirical research, comprehensive reviews of relevant research, and case studies of effective applications in the field of SCM. The use of new technologies, methods, and techniques are emphasized by those who have worked with supply chain management across the world for those in the field of information systems.

Citing international examples such as Hewlett Packard, Microsoft, Google, Boeing, and Amazon, the author covers all aspects of knowledge protection, from employee retention strategies to physical security.

This volume highlights a range of perspectives on the ways in which complexity thinking might be applied in translation studies, focusing in particular on methods to achieve this. The book introduces the topic with a brief overview of the history and conceptualization of complexity thinking. The volume then frames complexity theory through a variety of lenses, including translation and society, interpreting studies, and Bible translation, to feature case studies in which complexity thinking has successfully been or might be applied within translation studies. Using complexity thinking in translation studies as a jumping off point from which to consider the broader implications of implementing quantitative approaches in qualitative research in the humanities, this volume is key reading for graduate students and scholars in translation studies, cultural studies, semiotics, and development studies.

This updated second edition provides a clear and concise introduction to the key concepts of semiotics in accessible and jargon-free language. With a revised introduction and glossary, extended index and suggestions for further reading, this new edition provides an increased number of examples including computer and mobile phone technology, television commercials and the web. Demystifying what is a complex, highly interdisciplinary field, key questions covered include: What is a sign? Which codes do we take for granted? How can semiotics be used in textual analysis? What is a text? A highly useful, must-have resource, Semiotics: The Basics is the ideal introductory text for those studying this growing area.

Semiotic Analysis and Public Policy evaluates several key areas of public policy that are dependent on narrative, naming, sign, and branding to create meaning. Semiotic analysis, drawing on the work of Saussure, Peirce, and others, allows for creation of a case-oriented model of brand versus product, and of medium compared with message. Using a critical Habermasian lens, Atkinson convincingly exposes approaches focusing too heavily on instrumentality and rhetoric that claims a resolution of complex societal dilemmas. Rooted in the literature on public policy and semiotics, Atkinson creates an opportunity to delve more fully into the creation of narratives and meaning in policy, and the origins and maintenance of public programs. Evaluation of such programs shows various levels of disconnect between popular understanding of public considerations, political outcomes, and what results from the administrative/regulatory process in support of the law. This book will be of interest for scholars and researchers of public policy, policy analysis, public administration, public management, and policy implementation.