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Author: Percival Albert Frederick White
Publisher: Springer
ISBN: 1349054054
Category : Business & Economics
Languages : en
Pages : 326
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Book Description
Author: Percival Albert Frederick White
Publisher: Springer
ISBN: 1349054054
Category : Business & Economics
Languages : en
Pages : 326
Get Book Here
Book Description
Author: Percival Albert Frederick White
Publisher:
ISBN: 9780333172605
Category : Industrial sociology
Languages : en
Pages : 295
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Book Description
Author: Ravinder Kumar Jain
Publisher: John Wiley & Sons
ISBN: 9780471146131
Category : Business & Economics
Languages : en
Pages : 340
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Book Description
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.
Author: Lory Mitchell Wingate
Publisher: CRC Press
ISBN: 1466596295
Category : Medical
Languages : en
Pages : 522
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Book Description
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.
Author: Tugrul Daim
Publisher: Springer
ISBN: 331954537X
Category : Business & Economics
Languages : en
Pages : 294
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Book Description
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.
Author: Leon Mann
Publisher: Bloomsbury Publishing USA
ISBN: 0313053545
Category : Business & Economics
Languages : en
Pages : 350
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Book Description
In today's knowledge-driven business environment, research and development teams face particular challenges as their purpose is to discover and/or develop new concepts, products, or processes; the pressure to perform is intense. A year-long study of 58 R&D project teams set out to identify the factors that distinguish the successful teams from the under-performers. The resulting book argues that a substantial part of a team's success is not dependent on the type of work (fundamental research vs. product development), the institutional environment (corporate vs. public), or even provision of resources—but leadership. Successful team leaders employ a transformational style that inspires and motivates team members to perform at their best; they set clear goals and tasks; they establish an environment of mutual trust and respect; and they are skilled politicians who liaise with external stakeholders—including customers, senior managers, service providers, and regulators—to gain essential support. Integrating insights from the fields of technology management, social psychology, and organizational behavior, Leon Mann and his colleagues present recommendations to assist organizations and management in developing strong team leaders and building innovative teams.
Author: Ravi Jain
Publisher: John Wiley & Sons
ISBN: 0470914939
Category : Technology & Engineering
Languages : en
Pages : 416
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Book Description
Now fully revised and updated the classic book on effective R&D management "This thoughtful and detailed work outlines what is required in order to achieve the desired end results in a networked world where teamwork and collaboration are increasingly important to globally dispersed workforces." JOHN CHAMBERS, Chairman and CEO, Cisco Praise for the Second Edition "This is a superbly written book and could make an excellent reference and text for related university courses." E. LILE MURPHREE, JR., PHD, former Chairman, Department of Engineering Management, The George Washington University "Provides a superb exposition of the role that social and psychological phenomena play in today's organizations." FRED E. FIEDLER, Professor of Psychology Emeritus, University of Washington, Seattle As the economy shifts from producing goods to producing information, the role of researchers in shaping the future has become immense. By taking advantage of modern technology, the highly trained and predominantly autonomous researchers from around the globe collect and share information better than ever yet, there is still a lack of an effective centralized structure for an R&D organization manager to integrate the efforts from many disparate individuals into a unified plan. Managing Research, Development, and Innovation, Third Edition covers the management skills and leadership theories essential to generating products and excelling in today's global economy. Topics of interest include how to design jobs, organize hierarchies, resolve conflicts, motivate employees, and create an innovative work environment. Discover how superior management skills can increase funding, generate profit, and improve the effectiveness of technologically based organizations. This new revised edition: Covers all aspects of the research and development process with focus on the human management function Includes two new chapters covering the innovation process critical to research and development of new products and services Outlines the challenging issues related to diversity in science and technology organizations and provides insights as to how diversity can be used to enhance creativity Managing Research, Development, and Innovation, Third Edition is the most complete, insightful book of its kind. Useful for professionals and graduate students alike, the text demonstrates in clear, straightforward prose how good management skills will shape the future.
Author: Gabriela Fernandes
Publisher: Springer Nature
ISBN: 3030616053
Category : Business & Economics
Languages : en
Pages : 338
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Book Description
Collaboration among industry, universities and research institutes plays a vital role in stimulating open innovation, which in turn leads to new products, processes, services and business models. This book brings together a number of real-life examples of how to govern and manage open innovation collaboration projects more effectively, and provides timely insights that project consortia, governance boards and funding agencies can directly apply to implement and monitor projects and achieve greater impacts. All papers were written by recognized leading authorities with extensive experience in governance and management, and reveal how to capitalize on the potential of open innovation. This book shares multidisciplinary research perspectives on the potential benefits and challenges of collaboration, project management, and open innovation, as well as the management of complex organizational cultures and governance models.
Author: Kristin Briney
Publisher: Pelagic Publishing Ltd
ISBN: 178427013X
Category : Computers
Languages : en
Pages : 312
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Book Description
A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin
Author:
Publisher:
ISBN:
Category : Industrial engineering
Languages : en
Pages : 122
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Book Description
