Planning and Roadmapping Technological Innovations

1. Front Matter

   Pages i-xii

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2. Communication

   • Fahad Aldhaban, James Eastham, Judith Estep, Dong-Joon Lim, David Tucker, Tugrul U. Daim

   Pages 1-27

3. Project Selection

   • Ritu Bidasaria, Aifang Guo, Namitha Shetty, Rajasree Talla

   Pages 29-51

4. Design Structure Matrix

   • Bing Wang, Farshad Madani, Xiaowen Wang, Liying Wang, Corey White

   Pages 53-65

5. Critical Elements of R&D Management: Case Study of Three Firms from Different Sectors of Industry

   • Baraa Abudawod, Nertila Bregaj, Zack Khalifa, Melinda Pizarro

   Pages 67-100

6. Technology Roadmapping for Medical Imaging: Toward Improved Value

   • Larry Ball, Ritu Bidasaria, Ignacio Castillejos, Pinprapa Pakdeekasem, Chakaphan Pornsatit, Tugrul U. Daim

   Pages 101-134

7. Technology Roadmap: The “Complete EHR” Toward Higher-Quality Patient Care

   • Saranya Durairajan, Amit Hulme, Sean McGraw, Sajeda Tamimi, Jubin Dilip Upadhyay, Tugrul U. Daim

   Pages 135-157

8. Technology Roadmap for Automotive Flexible Display

   • Byung Sung Yoon, Corey White, Greg Wease, Lokesh Honnappa, Sheng-Te Tsai, Xiaowen Wang et al.

   Pages 159-175

9. Technology Roadmap for Next Generation PC: Hybrid PC

   • Zack Khalifa, Mohamed Burgan, Tila Bregaj, Manar Almallak

   Pages 177-213

10. Technology Road Map for Tesla Motors Sedan EV

    • Abrahim Abdulsater, Aparna Balasubramanian, Bing Wang, Farshad Madani, Mohammad Mansour, Rajasree Talla

    Pages 215-238

11. A Proposed Road Map for Cybersecurity in Cloud Computing at Portland State University

    • Emy Loanzon

    Pages 239-274

Across industries, firms vary broadly on how they operate with respect to their Research & Development (R&D) activities. This volume presents a holistic approach to evaluating the critical elements of R&D management, including planning, organization, portfolio management, project management, and knowledge transfer—by assessing R&D management from different sectors. Featuring empirical research and in-depth case studies from industries as diverse as medical imaging, electric vehicles, and cyber security, the authors identify common features of successful R&D management, despite fundamental differences, such as company size, number of employees, industry sector, and the R&D budget. In particular, they consider the implications for decision making with respect to resource allocation and investments, such as site selection, purchasing, and cross-departmental communication.

• Knowledge transfer
• Project management
• R&D management
• R&D project selection
• Research and development (R&D)
• Technology evaluation models

• Engineering and Technology Management, Portland State University, Portland, USA

  Tugrul U. Daim

• Daimler Trucks North America, Happy Valley, USA

  Melinda Pizarro

• GE Healthcare, Hillsboro, USA

  Rajasree Talla

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