This edition has been completely revised. The authors, noted authorities in the field, focus on ways to improve R&D organization productivity and foster excellence in such companies. They describe how to design jobs, organize hierarchies, resolve conflicts, motivate employees, and create an innovative work environment. Features extensive cross-cultural coverage of European and Pacific Rim R&D organizations and policies which greatly differ from the US. Includes an entirely new section on various strategic planning elements unique to an R&D organization along with a case study.

Chapter 7: PROJECT CONSTRUCTION -- I. MATERIAL IDENTIFICATION AND CONTROL -- II. CONTROL OF SPECIAL PROCESSES -- III. INSPECTION -- IV. HANDLING, STORAGE, AND SHIPPING -- V. NONCONFORMING MATERIALS, PARTS, OR COMPONENTS -- APPENDIX: AN ANALYSIS OF CORRECTIVE ACTION REPORTS GENERATED DURING A 3-YEAR PERIOD -- REFERENCES -- Chapter 8: CONTROL OFMEASURING AND TEST EQUIPMENT -- I. THE NEED FOR FORMAL CONTROL -- II. TRACEABILITY -- A. Definition of Traceability -- B. Purposes and Uses of Traceability -- C. Measurement Traceability and Standards Traceability -- D. The Question Posed to NBS -- E. NBS Advice on Traceability -- III. PROGRAM DESCRIPTION -- IV. SCOPE -- V. QUALITY LEVELS -- VI. CENTRALIZED CONTROL -- VII. CALIBRATION PROCEDURES -- IX. EVALUATION OF CALIBRATION SUPPLIERS -- REFERENCES -- Chapter 9: TEST CONTROL -- I. TEST PLAN -- II. TEST PROCEDURES -- III . DOCUMENTATION AND REVIEW OF RESULTS -- REFERENCES -- Chapter 10: SOFTWARE -- I. BACKGROUND -- II. THE SOFTWARE QUALITY ASSURANCE PROGRAM -- A. Planning -- B. Software Quality Levels and QA Plans -- C. Software Development Process -- D. Evaluation -- REFERENCES -- Chapter 11: RECORDS AND REPORTING -- I. PROJECT RECORDS -- II. REPORTS -- III. TRACEABILITY -- IV. RETENTION -- REFERENCES -- Chapter 12: AUDITING THE PROGRAM -- I. GENERAL AUDITING CONSIDERATIONS -- II. PROJECTS -- A. Specified QA -- B. Standard Laboratory Practice -- III. SYSTEM AUDITS -- IV. SUPPLIER AUDITS -- REFERENCES -- INDEX

Just as importantly, this unique guide provides R&D managers with clear guidelines on how to effectively tailor the various selection methods discussed to meet the demands of their organizations' unique situations and goals.

In Research as Development, Salla Sariola and Bob Simpson show how international collaboration operates in a setting that is typically portrayed as "resource-poor" and "scientifically lagging." Based on their long-term fieldwork in Sri Lanka, Sariola and Simpson bring into clear ethnographic focus the ways international scientific collaborations feature prominently in the pursuit of global health in which research operates "as" development and not merely "for" it. The authors follow the design, inception, and practice of two clinical trials: one a global health charity funded trial and the other a pharmaceutical industry-sponsored trial. Research as Development situates these two trials within their historical, political and cultural contexts and thus counters the idea that local actors are merely passive recipients of new technical and scientific rationalities. While social studies of clinical trials are beginning to be an established niche in academic writing, Research as Development helps fill important gaps in the literature through its examination of clinical research situated in cultures in low-income settings. Research as Development is noteworthy for the way it highlights the critical and creative role that local researchers play in establishing international collaborations and making them work into locally viable forms. The volume shows how these clinical and research interactions bring about changes in culture, technologies and expertise in Sri Lanka, contexts that have not previously been written about in any detail.

In the last thirty years or so, the need to address the challenges of teaching and learning mathematics at university level has become increasingly appreciated by university mathematics teachers, and beyond, by educational institutions around the world. Indeed, mathematics is both a condition and an obstacle to success for students in many educational programmes vital to the 21st century knowledge society, for example in pure and applied mathematics, engineering, natural sciences, technology, economics, finance, management and so on. This breadth of impact of mathematics implies the urgency of developing research in university mathematics education, and of sharing results of this research widely. This book provides a bespoke opportunity for an international audience of researchers in didactics of mathematics, mathematicians and any teacher or researcher with an interest in this area to be informed about state-of-the-art developments and to heed future research agendas. This book emerged from the activities of the research project INDRUM (acronym for International Network for Didactic Research in University Mathematics), which aims to contribute to the development of research in didactics of mathematics at all levels of tertiary education, with a particular concern for the development of early-career researchers in the field and for dialogue with university mathematicians. The aim of the book is to provide a deep synthesis of the research field as it appears through two INDRUM conferences organised in 2016 and 2018. It is an original contribution which highlights key research perspectives, addresses seminal theoretical and methodological issues and reports substantial results concerning the teaching and learning of mathematics at university level, including the teaching and learning of specific topics in advanced mathematics across a wide range of university programmes.

A unique, holistic approach covering all functions and phases of pharmaceutical research and development While there are a number of texts dedicated to individual aspects of pharmaceutical research and development, this unique contributed work takes a holistic and integrative approach to the use of computers in all phases of drug discovery, development, and marketing. It explains how applications are used at various stages, including bioinformatics, data mining, predicting human response to drugs, and high-throughput screening. By providing a comprehensive view, the book offers readers a unique framework and systems perspective from which they can devise strategies to thoroughly exploit the use of computers in their organizations during all phases of the discovery and development process. Chapters are organized into the following sections: * Computers in pharmaceutical research and development: a general overview * Understanding diseases: mining complex systems for knowledge * Scientific information handling and enhancing productivity * Computers in drug discovery * Computers in preclinical development * Computers in development decision making, economics, and market analysis * Computers in clinical development * Future applications and future development Each chapter is written by one or more leading experts in the field and carefully edited to ensure a consistent structure and approach throughout the book. Figures are used extensively to illustrate complex concepts and multifaceted processes. References are provided in each chapter to enable readers to continue investigating a particular topic in depth. Finally, tables of software resources are provided in many of the chapters. This is essential reading for IT professionals and scientists in the pharmaceutical industry as well as researchers involved in informatics and ADMET, drug discovery, and technology development. The book's cross-functional, all-phases approach provides a unique opportunity for a holistic analysis and assessment of computer applications in pharmaceutics.

Today’s leading organizations recognize the importance of research and development (R&D) to maintain and grow market share. If companies want to survive into the future, they must accelerate their R&D-to-market cycles or find themselves behind the competition. Project Management for Research and Development: Guiding Innovation for Positive R&D Outcomes explains how to apply proven project management methods to obtain positive outcomes in R&D and innovation projects. It addresses the specific factors companies must consider when using project management to scope, define, and manage R&D projects. It also offers best practices and case studies that illustrate actual applications of theory. This book details methods to help readers optimize results in R&D through the use of structured processes derived from the project management field and other complementary disciplines. Each chapter includes diagrams, surveys, checklists, and question-answer forms to guide readers in determining where their activity falls along a project spectrum and to help them structure their own R&D project. The methods presented in this book can easily be applied to innovation projects and creative endeavors. As there are limited sources of information on how to utilize project management methodology effectively in these types of projects, this book is an ideal resource for anyone looking to add structure and proven methods to enable R&D, innovation, and other creative activities.