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

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.

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.

Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University

This book introduces readers to essential technology assessment and forecasting tools, demonstrating their use on the basis of multiple cases. As organizations in the high-tech industry need to be able to assess emerging technologies, the book presents cases in which formal decision-making models are developed, providing a framework for decision-making in the context of technology acquisition and development. Applications of different technology forecasting tools are also discussed for a range of technologies and sectors, providing a guide to keep R&D organizations abreast of technological trends that affect their business. As such, the book offers a valuable the theoretical and practical reference guide for R&D managers responsible for emerging and future technologies.

CCH's Practical Guide to Research and Development Tax Incentives--Federal, State, and Foreign by Michael Rashkin, J.D., LL.M., provides something that has been missing in professional tax literature--authoritative, comprehensive coverage of this complex and evolving topic. This newly expanded resource is practical, easy to follow, easy to understand, and is particularly effective at clarifying and demystifying this complex subject. It provides well-written, detailed guidance on claiming the federal credit for increasing research activities and the deduction for R & D expenditures. In doing so, it explains the elements of qualified research, exclusions, computational rules, and basic research payment credits. Historically, the IRS has been vigilant in denying R & D credits. This resource explains how to satisfy the IRS's requirements, document the credit, and defend against IRS challenges. It also examines research incentives offered by individual states and describes the R & D incentives available in the major economies of the world, offering helpful charts that show the key differences among the various countries.