Anticipating Future Innovation Pathways Through Large Data Analysis / / edited by Tugrul U. Daim, Denise Chiavetta, Alan L. Porter, Ozcan Saritas |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (XVIII, 360 p. 141 illus., 108 illus. in color.) |
Disciplina | 006.312 |
Collana | Innovation, Technology, and Knowledge Management |
Soggetto topico |
Management
Industrial management Big data Economic policy Industrial organization Innovation/Technology Management Big Data/Analytics R & D/Technology Policy Industrial Organization |
ISBN | 3-319-39056-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Part I: Data Science/Technology Review -- Chapter 1: FTA as Due Diligence for an Era of Accelerated Interdiction by an Algorithm-Big Data Duo -- Chapter 2: A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathways -- Chapter 3: Profile and Trends of FTA and Foresight -- Chapter 4: Recent Trends in Technology Mining Approaches -- Chapter 5: Anticipating Future Pathways of Science, Technology, and Innovations -- Part II: Text Analytic Methods -- Chapter 6: Towards Foresight 3.0--The HCSS Metafore Approach -- Chapter 7: Using Enhanced Patent Data for Future-Oriented Technology Analysis -- Chapter 8: Innovation and Design Process Ontology -- Chapter 9: Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis and Term Clumping Analysis -- Chapter 10: Identifying Targets for Technology Mergers and Acquisitions Using Patent Information and Semantic Analysis -- Chapter 11: Identifying Technological Topic Changes in Patent Claims Using Topic Modeling -- Chapter 12: Semi-Automatic Technology Roadmapping Composing Method for Multiple Science, Technology, and Innovation Data Incorporation -- Chapter 13: Generating Futures from Text -- Part III: Anticipating the Future--Cases and Frameworks -- Chapter 14: Additive Manufacturing -- Chapter 15: The Application of Social Network Analysis -- Chapter 16: Building a View of the Future of Antibiotics Through the Analysis of Primary Patents -- Chapter 17: Combining Scientometics with Patent-Metrics for CTI Service in R&D Decision Making -- Chapter 18: Tech Mining for Emerging STI Trends through Dynamic Term Clustering and Semantic Analysis: The Case of Photonics. . |
Record Nr. | UNINA-9910254224603321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Future-Oriented Technology Assessment : A Manager's Guide with Case Applications |
Autore | Yalcin Haydar |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
Descrizione fisica | 1 online resource (435 pages) |
Altri autori (Persone) | DaimTugrul U |
Collana | IEEE Press Series on Technology Management, Innovation, and Leadership Series |
ISBN |
1-119-90988-0
1-119-90987-2 1-119-90986-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- A Note from the Series Editor -- About the Editors -- List of Contributors -- Preface -- Chapter 1 Technology Assessment: Smart City Development Initiatives and Issues -- 1.1 Introduction -- 1.2 Evolution of the Smart City -- 1.3 Need for Smart Cities -- 1.3.1 Global Smart Cities Initiatives -- 1.3.2 Role of Technology in Smart City Development -- 1.3.3 Technology Adoption and Development of Smart Cities -- 1.3.4 Efforts Toward Overcoming Technological Challenges -- 1.3.5 Future of Smart Cities with Technology Adoption -- 1.4 Conclusion -- 1.5 Implication and Future Research -- References -- Chapter 2 Technology Assessment: Process Optimization Services in the Cement Industry -- 2.1 Introduction -- 2.2 Research Design -- 2.2.1 Model Development -- 2.2.1.1 Hierarchical Model: Client's Point of View -- 2.2.1.2 Hierarchical Model: Staff's Point of View -- 2.2.1.3 Comparative Judgment of the Variables -- 2.2.2 Supporting Qualitative Data -- 2.2.3 Data Analysis -- 2.3 Results of the Survey -- 2.3.1 Simplified External Survey -- 2.3.2 Complete External Survey -- 2.3.3 Internal Survey -- 2.4 Discussion -- 2.5 Conclusions -- References -- Chapter 3 Technology Assessment: Energy Storage Technologies -- 3.1 Introduction -- 3.2 Literature Review -- 3.2.1 Renewable Energy Sources -- 3.2.2 Assessment of the Energy Storage Technologies -- 3.3 Methodology -- 3.3.1 Hierarchical Decision Model -- 3.3.2 HDM Steps -- 3.3.2.1 Creating Model -- 3.3.2.2 Pairwise Comparison -- 3.3.2.3 Inconsistency and Disagreement -- 3.3.3 Technology Development Envelop (TDE) -- 3.4 Model Development -- 3.4.1 Criteria/Perspectives -- 3.4.1.1 Social Perspective -- 3.4.1.2 Technical Perspective -- 3.4.1.3 Economic Perspective -- 3.4.1.4 Environmental Perspective -- 3.4.1.5 Political Perspective -- 3.4.2 Alternative Technologies.
3.4.2.1 Flywheels -- 3.4.2.2 Liquid Air Energy Storage Technologies -- 3.4.2.3 Thermoelectric Energy Storage -- 3.4.2.4 Underground Pumped Hydro -- 3.4.2.5 Isothermal Compressed Air Energy Storage (I‐CAES) -- 3.5 Results Analysis and Discussion -- 3.5.1 Model Validation -- 3.5.2 Model Quantification -- 3.5.2.1 Results of the Perspectives and Criteria -- 3.5.3 TDE Diagram -- 3.6 Conclusion -- Acknowledgments -- References -- Chapter 4 Technology Forecasting: A Secure Solar Power Generation Forecasting Framework for Recurrent Neural Networks -- 4.1 Introduction -- 4.2 Proposed Secure Solar Power Generation Forecasting Framework -- 4.3 Deep Learning Techniques -- 4.3.1 Recurrent Neural Networks (RNN) -- 4.3.2 Long Short‐term Memory (LSTM) -- 4.3.3 Bidirectional LSTM -- 4.3.4 Gated Recurrent Units (GRU) -- 4.3.5 LSTM and BiLSTM with Attention -- 4.4 Adversarial Attack and Mitigation Methods -- 4.4.1 Adversarial Attack -- 4.4.2 Adversarial Training -- 4.5 Dataset Description, Feature Selection, and Performance Metrics -- 4.5.1 Dataset Description -- 4.5.2 Feature Selection -- 4.5.3 Performance Metrics -- 4.6 Experiments -- 4.6.1 RNN‐based Solar Power Generation Forecasting -- 4.6.2 Adversarial Machine Learning Attack Against RNN‐based Models -- 4.6.3 RNN‐based Solar Power Generation Forecasting with Adversarial Machine Learning Training -- 4.7 Results and Discussion -- 4.8 Summary -- References -- Chapter 5 Technology Intelligence: Transformative Trends and Technological Synergies for the Smart Grid -- 5.1 Introduction -- 5.2 Cluster Analysis -- 5.3 Authors Productivity -- 5.4 Co‐word Analysis -- 5.5 Discussion -- References -- Chapter 6 Technology Intelligence: Cryptocurrencies and Emerging Technologies -- 6.1 Introduction -- 6.2 Data and Method -- 6.2.1 Cluster Analysis -- 6.2.2 Burst Analysis and Emerging Topics. 6.2.3 Intertopic Distance Maps and Topic Detection on Cryptocurrency Research Landscape -- 6.2.4 Topic 1: Cryptocurrency Universe and Blockchain Technology -- 6.2.5 Topic 2: Blockchain‐Based Supply Chain Management and Security Optimization -- 6.2.6 Topic 3: Emerging Trends in Internet Science and Security -- 6.2.7 Topic 4: Innovations in Financial Technology and Blockchain Solutions -- 6.2.8 Topic 5: Advanced Systems Analysis and Governance in Current Issues -- 6.3 Discussion -- References -- Chapter 7 Technology Intelligence: Geothermal Energy -- 7.1 Introduction -- 7.2 Impacts of Geothermal Energy -- 7.2.1 Economic Impacts of Geothermal Energy -- 7.2.2 Environmental Impacts of Geothermal Energy -- 7.2.3 Technological Impacts of Geothermal Energy -- 7.2.4 Green Sustainable Science Technology -- 7.2.5 Energy Fuels -- 7.2.6 Thermodynamics -- 7.2.7 Regulation -- 7.2.8 Critical Global Gap of Geothermal Energy -- 7.3 Methodology -- 7.3.1 Data Collection -- 7.3.2 Extraction of Life Cycle of Geothermal Energy Technologies Based on the Number of Cumulative Patents (Foster Curve Model) -- 7.3.3 Mann‐Kendall Test -- 7.3.4 Sen's Slope Test -- 7.3.5 Data Preprocessing -- 7.3.6 Latent Dirichlet Allocation (LDA) Topic Modeling -- 7.3.7 Principal Component Analysis (PCA) -- 7.3.8 LDAvis Software Package -- 7.3.9 Text Similarity Calculation -- 7.3.10 Association Rule Mining -- 7.3.11 Social Network Analysis -- 7.4 Results of Data Analysis -- 7.4.1 Data Collection Initial Results -- 7.4.2 Mann‐Kendall Test Result -- 7.4.3 Sen's Slope Test Results -- 7.4.4 Results of Dividing Technology Steps -- 7.4.5 Results of Data Pre‐processing -- 7.4.6 Results of Coherence Score of Topic -- 7.4.7 Latent Dirichlet Allocation (LDA) Topic Modeling with the Number of Optimal Topic Clusters -- 7.4.8 Analysis of Research and Development Status of Geothermal Energy Technologies. 7.4.9 Breakthrough Inventions and Technologies of Geothermal Energy -- 7.4.9.1 Results of Association Rules Mining -- 7.4.9.2 Results of Analysis for Indicators Related to Social Networks -- 7.5 Discussion -- 7.6 Conclusions -- 7.7 Limitations and Future Research -- References -- Chapter 8 Technology Intelligence: Heat Pump Water Heaters -- 8.1 Introduction -- 8.2 Literature Review -- 8.2.1 Heat Pump Water Heater Technology -- 8.2.2 Bibliometric Analysis -- 8.3 Social Network Analysis -- 8.4 Methodology -- 8.4.1 Data Collection -- 8.4.2 Findings -- 8.4.3 Co‐authorship Network Analysis: WoS, Scopus, Sumobrain -- 8.4.4 Top Institutions, Countries, Authors, Papers, and Patent -- 8.4.4.1 Scholarly Data -- 8.4.4.2 Patents -- 8.5 Heat Pump Water Heaters Bibliometrics Application -- 8.6 Overall Affiliation Ranking 2010-2021 -- 8.7 Co‐word Results -- 8.7.1 Keywords Related to Use of Heat Pump Water Heater and Measures of Development Degree -- 8.8 Interview Results -- 8.9 Conclusion and Discussion -- References -- Chapter 9 Technology Intelligence: Burst Analysis for RFID in Hospitals -- 9.1 Introduction -- 9.2 Methodology -- 9.3 Data -- 9.4 Burst Analysis -- 9.5 Cluster Analysis -- 9.6 Conclusion -- References -- Chapter 10 Technology Roadmapping: Data Science Roadmapping of Networked Organizations' Strategic Planning for Artificial Intelligence -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Data Science Roadmapping -- 10.2.1.1 Technology Roadmapping Applications, Methods, and Tools -- 10.2.1.2 Toward Sustainable DSR -- 10.2.2 Strategic Planning for Data‐driven Scenarios -- 10.2.2.1 Big Data, Data Science, and AI -- 10.2.2.2 The Need for Data‐integrated Strategic Planning -- 10.2.2.3 Data Science and AI Challenges at the Organizational Level -- 10.2.2.4 Data Science and AI Challenges Beyond the Organizational Level. 10.2.2.5 Opportunities for Using DSR -- 10.2.3 Related Studies -- 10.3 A Case Study of Networked Organizations' Strategic Planning for AI -- 10.3.1 Kickoff and Planning -- 10.3.2 Pre‐workshop -- 10.3.3 Workshops -- 10.3.4 Post‐workshop and Final Review -- 10.3.5 Keeping Roadmapping Alive to Implement Data and AI Governance -- 10.4 Discussion -- 10.5 Conclusion -- References -- Chapter 11 Technology Roadmapping: Nano Technology in Construction in Saudi Arabia -- 11.1 Introduction -- 11.2 Research Methodology -- 11.3 Background of Nanotechnology -- 11.3.1 What Is Nano? -- 11.3.2 Nanotechnology and Nanomaterials -- 11.3.3 Role of Nanotechnology -- 11.3.4 Application of Nanotechnology in Sustainable Building Designs -- 11.4 Nanoarchitecture: Definition and Its Applications -- 11.4.1 Definition of Nanoarchitecture -- 11.4.2 Application of Nanoarchitecture -- 11.4.2.1 Nanocement -- 11.4.2.2 Nanotechnology and Steel -- 11.4.2.3 Nano‐glass -- 11.4.2.4 Nanotechnology and Wood -- 11.4.2.5 Nanotechnology and Coating Materials -- 11.5 Building Sector and Sustainable Development Issues -- 11.5.1 Cost‐saving Productive Processes and Environmental Remediation -- 11.5.2 Green Building Concept -- 11.6 Using Nanomaterials in the Production of Concrete‐based Composites -- 11.6.1 Carbon Nanotubes (CNTs) -- 11.6.2 Polymer Cement -- 11.6.3 Advantage of Nanotechnology in the Construction Industry -- 11.6.3.1 Enhanced Thermal Insulation -- 11.6.3.2 Lightweight Materials with Enhanced Strength -- 11.6.3.3 Self‐cleaning and Photocatalytic Properties -- 11.6.3.4 Reduction of Air Pollution -- 11.6.4 Drawbacks of Nanotechnology in the Construction Industry -- 11.7 Nanoarchitecture Application in Saudi Arabia -- 11.8 Technology Road Mapping for Green Architecture -- 11.8.1 Introduction -- 11.8.2 Steps in Technology Roadmapping -- 11.8.3 Market Drivers. 11.8.3.1 QFD Market Segments and Drivers. |
Record Nr. | UNINA-9910888086303321 |
Yalcin Haydar | ||
Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Hierarchical Decision Modeling : Essays in Honor of Dundar F. Kocaoglu / / edited by Tugrul U. Daim |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (342 p.) |
Disciplina | 650 |
Collana | Innovation, Technology, and Knowledge Management |
Soggetto topico |
Management
Industrial management Operations research Decision making Economic policy Innovation/Technology Management Operations Research/Decision Theory R & D/Technology Policy |
ISBN | 3-319-18558-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Part I Technology Assessment -- 1 Technology Assessment: Criteria for Evaluating a Sustainable Energy Portfolio -- 2 Technology Assessment: Energy Efficiency Programs in Pacific Northwest -- 3 Technology Assessment: Washington Public Power Supply System (WPPSS) -- 4 Technology Assessment: Evaluating Personal Transportation Technologies -- Part II Strategic Planning -- 5 Strategic Planning: A Quantitative Model for the Strategic Evaluation of Emerging Technologies -- 6 Strategic Planning: An Analytical Approach to Building a Technology Development Envelope (TDE) for Roadmapping of Emerging Technologies -- 7 Strategic Planning: Evaluation of Emerging Technologies in the Taiwan Semiconductor Foundry Industry -- 8 Strategic Planning: Model Development for Strategic Decision for Technology Selection in The Petrochemical Industry -- Part III National Technology Planning -- 9 National Technology Planning: A Case Study on the Biopharmaceutical Industry in China.- 10 National Technology Planning: A Case Study of Nanotechnology for Thailand’s Agriculture Industry -- 11 National Technology Planning: Digital Divide In Emerging Economies: (Case: Costa Rica) -- Part IV Decision Making Tools -- 12 Decision Making Tools: University Technology Transfer Effectiveness -- 13 Decision Making Tools: A Sensitivity Analysis Algorithm -- 14 Decision Making Tools: Deleting Criteria using Sensitivity Analysis -- 15 Decision Making Tools: Innovation Measurement Framework. |
Record Nr. | UNINA-9910254193803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Infrastructure and Technology Management : Contributions from the Energy, Healthcare and Transportation Sectors / / edited by Tugrul U. Daim, Leong Chan, Judith Estep |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (VI, 498 p. 244 illus., 128 illus. in color.) |
Disciplina | 333.790973 |
Collana | Innovation, Technology, and Knowledge Management |
Soggetto topico |
Management
Industrial management Economic policy Health care management Health services administration Transportation Innovation/Technology Management R & D/Technology Policy Health Care Management |
ISBN | 3-319-68987-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I Energy -- Chapter 1 Landscape Analysis: Regulations, Policies and Innovation in Photovoltaic Industry -- Chapter 2 Landscape Analysis: Fracking Technology -- Chapter 3 Landscape Analysis: Connected-Lighting System -- Chapter 4 Technology Assessment: Developing Geothermal Energy Resources for Supporting Electrical System in Oregon -- Chapter 5 Technology Assessment: Demand Response Technologies in the Pacific Northwest.- Part II Health Care -- Chapter 6 Landscape Analysis: What Are the Forefronts of Change in the US Hospitals? -- Chapter 7 Technology Assessment: Patient-Centric Solutions for Transfer of Health Information -- Chapter 8 Technology Assessment: Nosocomial Infection Solutions -- Chapter 9 Technology Assessment: Study of User Preferences for Weight Loss Mobile Applications both Globally and in the United States.- Part III Transportation -- Chapter 10 Landscape Analysis: The Electric Car – is it a Viable Alternative? -- Chapter 11 Technology Roadmap: A roadmap for TESLA -- Chapter 12 Technology Roadmap: Google’s Eco-Friendly Mobile Phones -- Chapter 13 Technology Roadmap: Drone Delivery - Amazon Prime Air -- Chapter 14 Technology Assessment: Emerging Automotive Technologies for the Future -- Part IV Infrastructure -- Chapter 15 Technology Assessment: The Evaluation of Residential Pool Sanitation Options using TOPSIS.- Chapter 16: Technology Assessment: Cloud Service Adoption Decision.- Chapter 17: Project Delivery: Highway Construction. |
Record Nr. | UNINA-9910298172303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Planning and Roadmapping Technological Innovations : Cases and Tools / / edited by Tugrul U. Daim, Melinda Pizarro, Rajasree Talla |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (281 p.) |
Disciplina | 658.514 |
Collana | Innovation, Technology, and Knowledge Management |
Soggetto topico |
Management
Industrial management Economic policy Leadership Innovation/Technology Management R & D/Technology Policy Business Strategy/Leadership |
ISBN | 3-319-02973-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- 1 Communication -- 2 Project Selection -- 3 Design Structure Matrix -- 4 Project Management Criteria -- 5 Technology Road Mapping for Medical Imaging -- 6 Technology Roadmap: The 'Complete EHR' Toward Higher Quality Patient care -- 7 Technology Roadmap for Automotive Flexible Display -- 8 Technology Roadmap for Next Generation PC -- 9 Technology Roadmap for Tesla Motors Sedan EV -- 10 A Proposed Roadmap for Cyber Security in Cloud Computing at Portland State University. |
Record Nr. | UNINA-9910298521803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Policies and Programs for Sustainable Energy Innovations : Renewable Energy and Energy Efficiency / / edited by Tugrul U. Daim, Jisun Kim, Ibrahim Iskin, Rimal Abu Taha, Kevin C. van Blommestein |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (459 p.) |
Disciplina | 333.79 |
Collana | Innovation, Technology, and Knowledge Management |
Soggetto topico |
Management
Industrial management Renewable energy resources Energy policy Energy and state Economic policy Innovation/Technology Management Renewable and Green Energy Energy Policy, Economics and Management R & D/Technology Policy |
ISBN | 3-319-16033-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Ch 1 Review of Policies Towards the Acceleration of the Adoption of Renewable Energy Technologies -- Ch 2 Renewable Energy Technology Adoption in the Pacific Northwest -- Ch 3 Evaluating Polices Towards the Adoption of Renewable Energy Technologies -- Ch 4 Assessment of Wind Potential in Kalar Kahar Region by Comparing On-Site Data with NREL Wind Resource Map of Pakistan -- Ch 5 Technological Assessment of Emerging Technologies in Conversion of Municipal Solid Waste of Energy -- Ch 6 Bio-fuel Adoption -- Ch 7 Assessing Alternatives for District Heating -- Ch 8 Technology Adoption -- Ch 9 Portfolio Optimization in the Electricity Market-Investor's Perspective -- Ch 10 Energy Efficiency Technologies -- Ch 11 Evaluating Energy Efficiency -- Ch 12 Evaluating Consumer Preferences for Clothes Dryers -- Ch 13 Technology Intelligence on Clothes Dryers -- Ch 14 Furnace Fan Motor Technology Assessment -- Ch 15 Technology Assessment of Insulation Material for Home Construction. |
Record Nr. | UNINA-9910298483703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Technology Development : Multidimensional Review for Engineering and Technology Managers / / edited by Tugrul U. Daim, Ramin Neshati, Russell Watt, James Eastham |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (303 p.) |
Disciplina | 658 |
Collana | Innovation, Technology, and Knowledge Management |
Soggetto topico |
Management
Industrial management Economic policy Leadership Innovation/Technology Management R & D/Technology Policy Business Strategy/Leadership |
ISBN | 3-319-05651-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Part I Decision Making -- 1 Quality Culture Selection for New Product Development (NPD) Organizations using Hierarchal Decision Modeling (HDM) -- 2 Call Tracking Technology Selection Model -- 3 Location Selection of Fabless Firms -- Part II Technology Evaluation -- 4 FCC Regulation of the Video Navigation Device Industry -- 5 Technology Assessment -- 6 Hexavalent Chromium Substitution -- Part III Research and Development -- 7 Exploring Adoption of Service Delivered Through Information Technology -- 8 Risk Management in Research and Development -- 9 Technology Standards Development -- Part IV International Aspects -- 10 Managing Issues of IT Service Offshore Outsourcing Projects -- 11 Global New Product Development -- Part V Social & Political Aspects -- 12 A Comparative Analysis of Career Growth Models in R&D Organizations -- 13 Researching Social Capital in R&D Management -- 14 Research Innovative Capacity of Local Subsidiaries in Select CEE Countries. |
Record Nr. | UNINA-9910298527003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|