This book examines reference modeling from different perspectives. It discusses reference modeling languages that provide special modeling language concepts for the development and application of reference models. The book also covers reference modeling methodologies, which additionally provide procedure models for the construction and application of reference models, as well as particular reference models.

As classrooms and universities strive to adapt their instructional methods to an ever progressing technological age, it is imperative that academic libraries also revisit the ways in which reference and instruction services are organized and implemented. Library Reference Services and Information Literacy: Models for Academic Institutions not only advocates for a more intentional integration of reference and instructional services, but it also provides organizational background, staff objectives, and various successes and challenges that have already been experienced by real institutions. This publication is an important reference source for librarians, practitioners, and university leaders who wish to maximize the current utilization of their resources.

To communicate, speakers need to make it clear what they are talking about. Referring expressions play a crucial part in achieving this, by anchoring utterances to things. Examples of referring expressions include noun phrases such as “this phenomenon”, “it” and “the phenomenon to which this Topic is devoted”. Reference is studied throughout the Cognitive Sciences (from philosophy and logic to neuro-psychology, computer science and linguistics), because it is thought to lie at the core of all of communication. Recent years have seen a new wave of work on models of referring, as witnessed by a number of recent research projects, books, and journal Special Issues. The Research Topic “Models of Reference” in Frontiers in Psychology is a new milestone, focusing on contributions from Psycholinguistics and Computational Linguistics. The articles in it are concerned with such issues as audience design, overspecification, visual perception, and variation between speakers.

This is an exciting and innovative core textbook that focuses on the micro-level analysis of TM as a dynamic capability. Now in its second edition and fully updated throughout, it systematically addresses the major tools and techniques needed for businesses to successfully conduct TM activities. Arguing that there is no single best way to manage technology in a company and there is no mechanistic route to success, this accessible handbook provides a wealth of resources designed to increase the dynamic capability of an organisation. Written by a highly experienced team of authors from the Universities of Sabanci and Cambridge, Technology Management is the perfect companion for undergraduate and postgraduate students on a variety of business, management and engineering degree courses. It is also suitable for practitioners seeking to progress their professional development and industry knowledge.

"This book provides insights into state-of-the-art modeling languages and methods used for reference modeling. A reference model provides a blueprint for information systems development and analysis. Well-established reference models for industrial, retail and other industries are described"--Provided by publisher.

The first English-language edition of this book was published in 1989 under the title "Enterprise-Wide Data Modelling." It introduced a new enterprise data model that has since gone on to enjoy widespread use as a reference model. Since that time, the author has continued to develop the representation of application problems, both on a theoretical basis using modeling languages and on a practical basis using real-world studies. This has led to so many new aspects that this second English-language edition (the original German version is now in its fifth edition) constitutes a completely new book. The new title expresses the stricter emphasis on business processes in contrast to the previous edition, which was geared more toward a functional structure. This approach reflects the trend toward process oriented structural and procedural organization in enterprises that is currently being supported by new means of information processing. Perhaps the most obvious way in which the second English-language edition differs from the first is in the increased number of pages. This is a direct result of the higher degree of detail and the more thorough problem description presented in the new edition. The degree of detail has increased in the case of those problems that are particularly important in terms of selecting and designing information systems in an industrial enterprise, e.g., the product description and CAM factory organization. This approach provides greater reality and thus facilitates a better understanding of the complex organism that is an industrial enterprise.

Due to changes in the learning and research environment, changes in the behavior of library users, and unique global disruptions such as the COVID-19 pandemic, libraries have had to adapt and evolve to remain up-to-date and responsive to their users. Thus, libraries are adding new, digital resources and services while maintaining most of the old, traditional resources and services. New areas of research and inquiry in the field of library and information science explore the applications of machine learning, artificial intelligence, and other technologies to better serve and expand the library community. The Handbook of Research on Knowledge and Organization Systems in Library and Information Science examines new technologies and systems and their application and adoption within libraries. This handbook provides a global perspective on current and future trends concerning library and information science. Covering topics such as machine learning, library management, ICTs, blockchain technology, social media, and augmented reality, this book is essential for librarians, library directors, library technicians, media specialists, data specialists, catalogers, information resource officers, administrators, IT consultants and specialists, academicians, and students.