Search (27 results, page 1 of 2)

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Date

2. 2.2003 18:31:22

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Date

19. 7.2002 22:05:14

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Date

22. 2.1997 19:44:14

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Date

17. 7.2002 19:48:22

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Abstract

Reports results of a study, conducted on behalf of the British Library to investigate the link between effective business information systems and business performance. The theoretical model derived in the project was tested in 12 selected high performing companies, results being obtained from interviews with senior managers and questionnaire surveys of other staff members. Results are reported in full for each case study (the company name withheld) and illustrated a lack of coherent information policy in many of the companies surveyed. Information professionals have seen their influence diminish and they have been slow to embrace new technology. Many companies were seen to place emphasis on internally generated information, with little regard for external information sources. Hiwever, a small number of companies, senior staff have started to recognize the potential of information management concepts as a route to future business success

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Abstract

One out of two companies have increased their productivity or saved costs with knowledge management. This is a result from a comprehensive cross-industry survey in Europe about knowledge management run by the Competence Center Knowledge Management at Fraunhofer IPK, Germany. Best practices in knowledge management from leading companies are described for practitioners in different industries. The book shows how to integrate knowledge management activities into the daily business tasks and processes, how to motivate people and which capabilities and skills are required for knowledge management. The book concludes with an overview of the leading knowledge management projects in several European countries.

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Abstract

This book describes how Knowledge Management (KM) can be applied at a team and project level: at all scales from small teams working an discrete activities, to large multicompany construction and development projects. The book includes some of the KM techniques that can be applied to projects, such as Peer Assists, Project Retrospects, Technical Limit meetings, KM self-audits, and KM plans. It is illustrated throughout with examples from successful organisations.

Content

Key Features - Knowledge is a key asset for improving team performance - The management of knowledge (KM) is a discipline that has been evolving over the past decade - KM can very successfully be embedded in a project framework - The processes and approaches to project KM are simple, but need to be integrated with other project management disciplines - The book is aimed at the leaders and members of project teams Contents Principles of KM KM and project work The flow of knowledge in projects KM and project discipline Assurance and embedding Case histories Appendix - KM tools and processes

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Date

17. 7.2002 19:22:06

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Abstract

The world is undergoing a revolution to a digital economy, with pronounced implications for corporate strategy, marketing, operations, information systems, customer services, global supply-chain management, and product distribution. This handbook examines the aspects of electronic commerce (e-commerce), including electronic storefront, on-line business, consumer interface, business-to-business networking, digital payment, legal issues, information product development, and electronic business models

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Classification

004.67/8 22

DDC

004.67/8 22

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Date

22. 3.2008 14:48:44

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Footnote

Rez. in: JASIST 56(2005) no.8, S.889-890 (J. Warner): "This work is a collection of papers, reflective and theoretical, rather than primarily empirical, from scholars in information systems and economies, with discursive rather than formal modes of argument and presentation. The discipline of information systems (IS) is understood to have developed as codified knowledge about appropriate procedures for the development of customized information and communication technology (ICT) applications. The editors recognize that, with the displacement of customized applications by purchased packages, IS lost its main utility as a prescription for professional practice in the 1990s. The need for the scholarly community to establish its continuing value and to survive might be orte motivation for the increasing resort to theory. A difference in perspective between IS and economies is acknowledged: economiet take an outside-in approach to the results of innovation while IS focuses an the process of innovation. Recognition does not extend to synthesis, and a dynamic by which the process of Innovation both generates and is compelled by the resulting sociotechnical environment is not isolated. The literature of information science is not cited-other writers have noted the analogies between the subjects and disjunctions between the disciplines of IS and information science (Ellis, Allen, & Wilson, 1999)-but interdisciplinary dialogue is advocated. For information science readers, the interest of the work lies in the analogies between topics treated and the emerging theoretical reflection an them. Theory seems to have emerged primarily as a response to empirical difficulties, particularly contradictions between expectations and reality, and can reproduce the divides which motivated it. Empirical generalizations are not distinguished from the motivating forces which created the phenomena covered by those generalizations. For instance, the social constructivist perspective which argues that impact of technology is a matter of interpretation by human actors according to their social conditions, and which acknowledges the interpretive flexibility of a technology in use, is introduced, but technology is not fully recognized as a radical human construction, "organs of the human brain, created by the human hand" (Marx, 1973, p. 706; Warner, 2004), and the notion of impact is retained. The productivity paradox, understood as the weak correlation between investment in ICT and commercial success, forms a recurrent concern. A simple response might that the commercial value of a technology lies in the way it is used. More sophisticatedly the paradox could be regarded as an artifact of the apparent rigor and closeness, particularly temporal closeness, of studies and could be reinterpreted as a productivity effect, corresponding to a transition cost. The conclusion does not recall the distinction between invention, innovation, and diffusion, promised in the preface, and invention tends to be treated as if it were exogenous. The most interesting insights emerge from accounts of cited papers, particularly Ciborra's view of technology as being assimilated to the social by the device of hospitality and Orlikowski's reflections an technology.
Could a dynamic be constructed, in dialectical response to the theorizing presented, which draws an classic sources in political economy and which links micro-processes and macro-results? For Marx, the "basic logie of the capitalist mode of production ... [was] expansion, growth, enlarged reproduction, through a substitution of living by dead labour" (Marx, 1981, p. 13). With ICTs, we are dealing primarily with semiotic rather than physical labor, but a similar substitution of machine for direct human labor can be detected. The individual actors engaged in innovation encounter considerable risks, but collectively produce advances in social productivity: The much greater costs that are always involved in an enterprise based an new inventions, compared with later establishments that rise up an its ruins, ex suis ossibus. The extent of this is so great that the pioneering entrepreneurs generally go bankrupt, and it is only their successors who flourish.. . . Thus it is generally only the most worthless and wretched kind of money-capitalists that draw the greatest profit from all new developments of the universal labour of the human spirit and their social application by combined labour. (Marx, 1981, p. 199). Acknowledging the risks of innovation reveals the resistance of small entities to innovation as more rational for their survival than the scholarly prescriptions of the value of innovation for competitive advantage. The comparative advantage derivable from innovation can itself be understood from the relation of machinery to the direct human labor it supplants: As machinery comes into general use in a particular branch of production, the social value of the machinery product sinks down to its individual value, and the following law asserts itself: surplus-value does not arise from the labour-power that has been replaced by the machinery, but from the labour-power actually employed in working with the machinery. (Marx, 1976, p. 530) The more sophisticated theoretical and historical framework can both explain and dissolve the productivity paradox. The risks of Innovation limit rewards to pioneers, but, over time, their activities raise the productivity of labor: Consider, for instance, the contrast between the amount of direct human labor and the costs of that labor involved in Che copying of documents by hand, with a subsequent oral collation, in a mid-19th century legal practice (Melville, 1997) with modern technologies for copying files. In conclusion, the interest of the collection to information science lies in the further revelation of analogous concerns in another discipline, in the internal realization of the theoretical poverty of that discipline, and even, at points, that the control over processes of innovation offered by standard approaches was illusory, and in the emergence, not yet in fully articulated form, of a more sophisticated perspective."

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Abstract

The Handbook provides practitioners, scientists and graduate students with a good overview of basic notions, methods and techniques, as well as important issues and trends across the broad spectrum of data management. In particular, the book covers fundamental topics in the field such as distributed databases, parallel databases, advanced databases, object-oriented databases, advanced transaction management, workflow management, data warehousing, data mining, mobile computing, data integration and the Web. Summing up, the Handbook is a valuable source of information for academics and practitioners who are interested in learning the key ideas in the considered area.

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Abstract

Data warehousing has captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains as an art rather than a science. This book presents the first comparative review of the state of the art and best current practice in data warehousing. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European DWQ project, it offers a conceptual framework by which the architecture and quality of datawarehousing efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence

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Abstract

Data warehousing has captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains as an art rather than a science. This book presents the first comparative review of the state of the art and best current practice in data warehousing. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European DWQ project, it offers a conceptual framework by which the architecture and quality of datawarehousing efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence

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Abstract

The key focus of this book is to integrate elements of information and knowledge management, together with the business process and intellectual capital. The book questions some of the fundamental concepts and principles currently used to manage information that revolve around business processes. Specifically, it addresses the argument to more effectively evaluate the contributions of human and systems capital (which are defined) to a process, highlighting the need to make more conscious decisions about what role each will perform in the developed process.

Content

Key Features - Covers the integration of the intellectual capital with business processes - Provides practical guidance an analysis of the complete business process (including products and customers) from a human and systems capital perspective - Provides practical frameworks that enable readers to implement the suggested strategies regarding the development of intellectual capital round business processes, which are explained throughout the book The Author Liz Taylor has worked in the knowledge and information management field for the past eight years. Readership The book is primarily aimed at those individuals in a service provision environment, who are responsible for change and/or effective business processes. Contents Introduction - the current environment; practical opportunities to expand the concepts; the way forward? Intellectual capital - definitions in context; capital relationships; introduction to the business process Human capital - the organisational perspective; relationship with corporate learning and development; tacit knowledge and the individual; contributions and collaboration; knowledge transfer Systems capital - information and communication; tools and enablers Examining the process (1) - the process jigsaw; inputs, outputs and by-products Examining the process (II) - creation of knowledge; influencing factors Managing expectations - adaptability and flexibility; environmental assessment; customer components; acceptable standards Maximising potential -focus of developments; effect of peripheral business activities; mapping potential contributions to a business process; prioritising development And the future? - the information and knowledge management vision; next steps

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Date

19.12.2015 11:57:22

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Abstract

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The ferst part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programmeng; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.

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Abstract

As the most comprehensive reference work dealing with knowledge management (KM), this work is essential for the library of every KM practitioner, researcher, and educator. Written by an international array of KM luminaries, its approx. 60 chapters approach knowledge management from a wide variety of perspectives ranging from classic foundations to cuttingedge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. The chapters are conveniently organized into 8 major sections. The first volume consists of the sections: foundations of KM, knowledge - a key organizational resource, knowledge processors and processing, influences an knowledge processing. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come. The second volume consists of the sections: technologies for knowledge management, outcomes of KM, knowledge management in action, and the KM horizon. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come.