Tugrul U. Daim – författare

Digital Entrepreneurship in Science, Technology and Innovation explores digitalization in various spheres of life with a focus on business models, scientific research, entrepreneurship, and sustainability.The current wave of digitalization coupled with AI represents a new technological revolution demanding a complex interplay of technological advances, new organizational and management structures, education, and considerations of ethical and cultural principles. Contributing authors expand on existing understandings of this nexus by examining the concepts of digital business models and entrepreneurship as well as value creation processes and policy perspectives. Particular focus is placed on the relationship between sustainable development goals (SDGs) and digital technologies. Ultimately, this forward-thinking book highlights the relationship between digitalization and AI and its impact on key areas such as electric vehicles, healthcare, and innovation.This book is a fundamental resource for students and academics in science and technology studies, international business, entrepreneurship, the economics of innovation, and information systems. Its in-depth analysis of digital technologies and AI systems will also be of benefit to professionals working in business and management and the technology industries.

This timely Handbook explores how the trajectory of technology can be predicted and strategically prepared for. It provides insight into the value and application of forecasting and roadmapping, covering foundational theories, method taxonomies and established approaches such as foresight and scenario planning.Leading experts examine how the rise of data-driven methods, including patent analysis and bibliometrics, enables earlier identification of trends and innovations, as well as how emerging tools such as AI and machine learning are transforming the accuracy and responsiveness of forecasting. The Handbook presents two unique projects which outline the process of creating relevant technology roadmaps. Contributing authors also showcase outcomes from international collaborative projects, demonstrating how different forecasting tools and collaborative methods can enhance future decision-making.The Handbook of Technological Forecasting and Roadmapping is a valuable resource for scholars and students of organisational innovation, the economics of innovation, industrial economics, technology and ICT, and science and technology studies. It is also beneficial for policymakers, regulators, government officials and technology managers looking to plan and anticipate future technological developments.

Comprehensive resource explaining how to evaluate technologies for different purposes in any industry using four different practical approaches Future-Oriented Technology Assessment offers a comprehensive view of technology assessment structured into three different practical approaches: Technology Evaluation, Technology Roadmapping, and Technology Intelligence. The first four chapters include studies which utilize technology gap analysis, multiple criteria decision analysis, expert assessment quantification or neural networks to evaluate or forecast technology alternatives. The next five chapters apply bibliometric analysis, patent analysis, and network analysis to identify technology trends and the leaders in the field. The final four chapters use technology roadmapping, which charts a comprehensive plan for implementing technology. Additional topics covered in Future-Oriented Technology Assessment include: Smart grid technology as an alternative to fossil fuel consumptionHeat pump water heaters that reduce the cost of energy and improve energy efficiency, with particular focus on research from the US and ChinaNanotechnology in construction in Saudi Arabia to improve heat insulation, energy efficiency, and tensile strength in green building designsWith comprehensive, practical insight into evaluating emerging technologies across different industries, Future-Oriented Technology Assessment is an essential read for researchers in technology and professionals in engineering and technology management, along with professionals and graduate students in related disciplines and programs of study.

The use of bibliometrics for the analysis of technology management is on the rise in our increasingly technological societies. Many are using these tools to document or record the rise of various technologies, making it necessary to take stock of the value and application of scientometric methods and their measures.Innovation Discovery shows the current state of play within the field of management of technology, and discusses how we can use networks to explore, understand and generate theory around the innovation process. It looks at the different streams of analysis used to understand bibliometric data, and presents alternative and novel ways of applying these techniques.Written as a comprehensive review of approaches by leading researchers in the field, this book is suitable for graduate and post-graduate students and researches looking to expand their knowledge and embark on further investigations in technology management.

Managing Innovation is a three-part series covering contemporary technology and innovation management research areas. Each volume comprises key articles from both the International Journal of Innovation Management and the International Journal of Innovation and Technology Management, published by World Scientific, and provides an international, disciplinary approach across its broad coverage of topics.Relevant for both academics and practitioners, this volume focuses on key aspects of crowd innovation including motivations, challenges and benefits of this approach.Related Link(s)

Managing Innovation is a three-part series covering contemporary technology and innovation management research areas. Each volume comprises key articles from both the International Journal of Innovation Management and the International Journal of Innovation and Technology Management, published by World Scientific, and provides an international, disciplinary approach across its broad coverage of topics.Relevant for both academics and practitioners, this volume answers how organisations can develop innovative approaches from a perspective that encompasses technological advances, changes in the market and individual entrepreneurs.Related Link(s)

Managing Innovation is a three-part series covering contemporary technology and innovation management research areas. Each volume comprises key articles from both the International Journal of Innovation Management and the International Journal of Innovation and Technology Management, published by World Scientific, and provides an international, disciplinary approach across its broad coverage of topics.Relevant for both academics and practitioners, this volume looks at the international aspects of innovation with case studies from China, Germany, India and Russia.Related Link(s)

Technology is not just limited to technology companies, it impacts sectors such as healthcare, agriculture, and security. In the last few decades, countries, too, have started developing technologies or integrating technologies into their systems. As a result, all countries, regardless of size, need to understand the management of engineering and technology concepts. Digital Transformations reviews fundamentals and applications through existing and emerging technologies all around the world.Big data availability and the emergence of new tools provide opportunities to detect the emergence of new technologies. Some of the major elements of such analyses include bibliometrics, patent analysis and social network analysis. The authors focus on these three tools and demonstrate their use through applications such as Blockchain, Artificial Intelligence, Robotics, 3D printing, Wireless Power, Autonomous and Electric Driving, and Smart Homes.Through the examination of cases based on emerging technologies, the book provides a spectrum of these recent applications and serves as a reference for professionals, researchers and students on fundamentals of technology utilization tools.

Using the automotive, healthcare and telecommunication industries as case studies, the authors create the value roadmap using five factors: market drivers, product features, technology features, enablers and resources.

This volume presents a portfolio of cases and applications on technology roadmapping (TRM) for products and services. A new innovation in this book is a section of detailed technology roadmap samples that technology managers can apply to emerging technologies.

This volume presents a portfolio of cases and applications on technology roadmapping (TRM) for products and services. A new innovation in this book is a section of detailed technology roadmap samples that technology managers can apply to emerging technologies.

This book introduces readers to state-of-the-art cases and tools for managing innovation in today’s rapidly changing business environment. It provides a wealth of methodological knowhow and guidance on practical applications, as well as case studies that reveal various challenges in technology and innovation management.

This book introduces readers to state-of-the-art cases and tools for managing innovation in today’s rapidly changing business environment. It provides a wealth of methodological knowhow and guidance on practical applications, as well as case studies that reveal various challenges in technology and innovation management.

Cybersecurity has become a critical area to focus after recent hack attacks to key infrastructure and personal systems. This book reviews the building blocks of cybersecurity technologies and demonstrates the application of various technology intelligence methods through big data. Each chapter uses a different mining method to analyze these technologies through different kinds of data such as patents, tweets, publications, presentations, and other sources. It also analyzes cybersecurity methods in sectors such as manufacturing, energy and healthcare.

This book reviews the building blocks of cybersecurity technologies and demonstrates the application of various technology intelligence methods through big data. Each chapter uses a different mining method to analyze these technologies through different kinds of data such as patents, tweets, publications, presentations, and other sources.

Roadmapping is a structured visual approach for supporting strategic technology and innovation management, providing strategic navigational support (hence the “roadmap” metaphor) for technologists, designers, entrepreneurs, programme managers, executives, policy makers, other stakeholders involved in the formulation and implementation of strategy.This book brings together the latest developments in roadmapping, covering a range of practical issues and conceptual aspects. First, the book delves into the critical topic of strategic alignment within organizations, encompassing the interdependencies and synchronization of horizontal and vertical systems, connecting innovation priorities to strategic objectives, and the integration of key performance indicators. Then, the book concentrates on practical techniques and tools for roadmapping, including a template-based approach for technology venture funding. Social and digital aspects of roadmapping are explored, including workshop methods, considering how quantitative (analysis) and qualitative (expert) knowledge can be combined for improved strategic planning. Finally, a series of new case studies focusing on energy systems in Sub-Saharan Africa and Turkey illustrate the practical application of technology roadmapping and also provide useful insights.Roadmapping continues to evolve, as it is adapted to apply to new domains and strategic challenges, propagates to new sectors, and as new digital technologies such as AI emerge that radically affect strategy and innovation processes. The need for structured and engaging approaches such as roadmapping for navigating towards the future is essential.

Roadmapping is a structured visual approach for supporting strategic technology and innovation management, providing strategic navigational support (hence the “roadmap” metaphor) for technologists, designers, entrepreneurs, programme managers, executives, policy makers, other stakeholders involved in the formulation and implementation of strategy.This book brings together the latest developments in roadmapping, covering a range of practical issues and conceptual aspects. First, the book delves into the critical topic of strategic alignment within organizations, encompassing the interdependencies and synchronization of horizontal and vertical systems, connecting innovation priorities to strategic objectives, and the integration of key performance indicators. Then, the book concentrates on practical techniques and tools for roadmapping, including a template-based approach for technology venture funding. Social and digital aspects of roadmapping are explored, including workshop methods, considering how quantitative (analysis) and qualitative (expert) knowledge can be combined for improved strategic planning. Finally, a series of new case studies focusing on energy systems in Sub-Saharan Africa and Turkey illustrate the practical application of technology roadmapping and also provide useful insights.Roadmapping continues to evolve, as it is adapted to apply to new domains and strategic challenges, propagates to new sectors, and as new digital technologies such as AI emerge that radically affect strategy and innovation processes. The need for structured and engaging approaches such as roadmapping for navigating towards the future is essential.

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.

Developing new products, services, systems and processes has become an imperative for any firm expecting to thrive in today’s fast-paced and hyper-competitive environment. The third part features in-depth case studies to present innovation management tools, such as customer needs identification, technology standardization and risk management.

This volume features research and case studies across a variety of industries to showcase technological innovations and policy initiatives designed to promote renewable energy and sustainable economic development. The first section focuses on policies for the adoption of renewable energy technologies, the second section covers the evaluation of energy efficiency programs and the final section provides evaluations of energy technology innovations.Environmental concerns, energy availability and political pressure have prompted governments to look for alternative energy resources that can minimize the undesirable effects for current energy systems.  For example, shifting away from the conventional fuel resources and increasing the percentage of electricity generated from renewable resources, such as solar and wind power, is an opportunity to guarantee lower CO2 emissions and to create better economic opportunities for citizens in the long run.Including discussions of such of timely topics and issues as global warming, bio-fuels and nuclear energy, the editors and contributors to this book provide a wealth of insights and recommendations for sustainable energy innovations.

This book aims to study the factors effecting the adoption and diffusion of Health Information Technology (HIT) innovation. It analyses the adoption processes of various tools and applications, particularly Electronic Health Records (EHR), highlighting the impact on various sectors of the healthcare system, such as physicians, administration and patient care, while also identifying the various pitfalls and gaps in the literature.With the various challenges currently facing the United States healthcare system, the study, adoption and diffusion of healthcare technology innovation, particularly HIT, is imperative to achieving national goals. This book is organized into three sections. Section one reviews theories and applications for the diffusion of Health Care Technologies. Section two evaluates EHR technology, including the barriers and enables in adoption and alternative technologies. Finally, section three examines the factors impacting the adoption of EHR systems. This book will be a key source for students, academics, researchers, practitioners, professionals and policy-makers.

This volume, developed in honor of Dr. Dundar F. Kocaoglu, aims to demonstrate the applications of the Hierarchical Decision Model (HDM) in different sectors and its capacity in decision analysis. It is comprised of essays from noted scholars, academics and researchers of engineering and technology management around the world. This book is organized into five parts: Technology Policy Planning, Strategic Technology Planning, Technology Assessment, Application Extensions, and Methodology Extensions. Dr. Dundar F. Kocaoglu is one of the pioneers of multiple decision models using hierarchies, and creator of the HDM in decision analysis. HDM is a mission-oriented method for evaluation and/or selection among alternatives. A wide range of alternatives can be considered, including but not limited to, different technologies, projects, markets, jobs, products, cities to live in, houses to buy, apartments to rent, and schools to attend. Dr. Kocaoglu’s approach has been adopted for decision problems in many industrial sectors, including electronics research and development, education, government planning, agriculture, energy, technology transfer, semiconductor manufacturing, and has influenced  policy locally, nationally, and internationally. Moreover, his students developed advanced tools and software applications to further improve and enhance the robustness of the HDM approach.Dr. Kocaoglu has made many contributions to the field of Engineering and Technology Management. During his tenure at Portland State University, he founded the Engineering and Technology Management program, where he served as Program Director and later, Department Chair.  He also started the Portland International Conference on Management of Engineering and Technology (PICMET), which organizes an annual conference in international locations such as Korea, Turkey, South Africa, Thailand, and Japan. His teaching has won awards and resulted in a strong sense of student loyaltyamong his students even decades later. Through his academic work and research, Dr. Kocaoglu has strongly supported researchers of engineering management and has provided tremendous service to the field.This volume recognizes and celebrates Dr. Kocaoglu’s profound contributions to the field, and will serve as a resource for generations of researchers, practitioners and students.

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.

This volume features research and case studies across a variety of industries to showcase technological innovations and policy initiatives designed to promote renewable energy and sustainable economic development. The first section focuses on policies for the adoption of renewable energy technologies, the second section covers the evaluation of energy efficiency programs and the final section provides evaluations of energy technology innovations.Environmental concerns, energy availability and political pressure have prompted governments to look for alternative energy resources that can minimize the undesirable effects for current energy systems.  For example, shifting away from the conventional fuel resources and increasing the percentage of electricity generated from renewable resources, such as solar and wind power, is an opportunity to guarantee lower CO2 emissions and to create better economic opportunities for citizens in the long run.Including discussions of such of timely topics and issues as global warming, bio-fuels and nuclear energy, the editors and contributors to this book provide a wealth of insights and recommendations for sustainable energy innovations.

This volume, developed in honor of Dr. Dundar F. Kocaoglu, aims to demonstrate the applications of the Hierarchical Decision Model (HDM) in different sectors and its capacity in decision analysis. It is comprised of essays from noted scholars, academics and researchers of engineering and technology management around the world. This book is organized into five parts: Technology Policy Planning, Strategic Technology Planning, Technology Assessment, Application Extensions, and Methodology Extensions. Dr. Dundar F. Kocaoglu is one of the pioneers of multiple decision models using hierarchies, and creator of the HDM in decision analysis. HDM is a mission-oriented method for evaluation and/or selection among alternatives. A wide range of alternatives can be considered, including but not limited to, different technologies, projects, markets, jobs, products, cities to live in, houses to buy, apartments to rent, and schools to attend. Dr. Kocaoglu’s approach has been adopted for decision problems in many industrial sectors, including electronics research and development, education, government planning, agriculture, energy, technology transfer, semiconductor manufacturing, and has influenced  policy locally, nationally, and internationally. Moreover, his students developed advanced tools and software applications to further improve and enhance the robustness of the HDM approach.Dr. Kocaoglu has made many contributions to the field of Engineering and Technology Management. During his tenure at Portland State University, he founded the Engineering and Technology Management program, where he served as Program Director and later, Department Chair.  He also started the Portland International Conference on Management of Engineering and Technology (PICMET), which organizes an annual conference in international locations such as Korea, Turkey, South Africa, Thailand, and Japan. His teaching has won awards and resulted in a strong sense of student loyaltyamong his students even decades later. Through his academic work and research, Dr. Kocaoglu has strongly supported researchers of engineering management and has provided tremendous service to the field.This volume recognizes and celebrates Dr. Kocaoglu’s profound contributions to the field, and will serve as a resource for generations of researchers, practitioners and students.

Developing new products, services, systems and processes has become an imperative for any firm expecting to thrive in today’s fast-paced and hyper-competitive environment. The third part features in-depth case studies to present innovation management tools, such as customer needs identification, technology standardization and risk management.

This book aims to identify promising future developmental opportunities and applications for Tech Mining. Specifically, the enclosed contributions will pursue three converging themes:The increasing availability of electronic text data resources relating to Science, Technology and Innovation (ST&I).The multiple methods that are able to treat this data effectively and incorporate means to tap into human expertise and interests.Translating those analyses to provide useful intelligence on likely future developments of particular emerging S&T targets. Tech Mining can be defined as text analyses of ST&I information resources to generate Competitive Technical Intelligence (CTI). It combines bibliometrics and advanced text analytic, drawing on specialized knowledge pertaining to ST&I. Tech Mining may also be viewed as a special form of “Big Data” analytics because it searches on a target emerging technology (or key organization) of interest in global databases. One then downloads, typically, thousands of field-structured text records (usually abstracts), and analyses those for useful CTI.  Forecasting Innovation Pathways (FIP) is a methodology drawing on Tech Mining plus additional steps to elicit stakeholder and expert knowledge to link recent ST&I activity to likely future development. A decade ago, we demeaned Management of Technology (MOT) as somewhat self-satisfied and ignorant.  Most technology managers relied overwhelmingly on casual human judgment, largely oblivious of the potential of empirical analyses to inform R&D management and science policy.  CTI, Tech Mining, and FIP are changing that. The accumulation of Tech Mining research over the past decade offers a rich resource of means to get at emerging technology developments and organizational networks to date.  Efforts to bridge from those recent histories ofdevelopment to project likely FIP, however, prove considerably harder. One focus of this volume is to extend the repertoire of information resources; that will enrich FIP.Featuring cases of novel approaches and applications of Tech Mining and FIP, this volume will present frontier advances in ST&I text analytics that will be of  interest to students, researchers, practitioners, scholars and policy makers in the fields of R&D planning, technology management, science policy and innovation strategy.

This book presents emerging technology management approaches and applied cases from leading infrastructure sectors such as energy, healthcare, transportation and education. Featuring timely topics such as fracking technology, electric cars, Google’s eco-friendly mobile technology and Amazon Prime Air, the volume’s contributions explore the current management challenges that have resulted from the development of new technologies, and present tools, applications and frameworks that can be utilized to overcome these challenges.Emerging technologies make us rethink how our infrastructure will look in the future. Solar and wind generation, for example, have already changed the dynamics of the power sector. While they have helped to reduce the use of fossil fuels, they have created management complications due to their intermittent natures. Meanwhile, information technologies have changed how we manage healthcare, making it safer and more accessible, but not without implications for cost and administration. Autonomous cars are around the corner. On-line education is no longer a myth but still a largely unfulfilled opportunity. Digitization of car ownership is achievable thanks to emerging business models leveraging new communication technologies. The major challenge is how to evaluate the relative costs and benefits of these technologies. This book offers insights from both researchers and industry practitioners to address this challenge and anticipate the impact of new technologies on infrastructure now and in the future.