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Ecosystems and Technology: Idea Generation and Content Model Processing

PREFACE TECHNOLOGY SELECTION FOR SOFTWARE STARTUPS ABSTRACT TOOLS WHY TOOLS MATTER?SKILLS MATTER MORE MOST INTERESTING SOFTWARE SYSTEMS ARE BEING BUILT FOR THE FIRST TIME LEADING EDGE OR MERE SURVIVAL TOOLS AND CULTURE REFERENCES INNOVATION ECOSYSTEMS AND TECHNOLOGY ABSTRACT INTRODUCTION RELATED WORK SOME DEFINITIONS MULTIPLE FORMS OF INNOVATION INNOVATION PROCESS THINKING KNOWLEDGE MANAGEMENT AND INNOVATION MODEL OF INNOVATION ECOSYSTEMS ECOINNOVATION PROCESS-CONDITIONS FOR BALANCE ECOINNOVA TION ECOINNOVATION PROCESS IMPORTANCE OF MANAGING KNOWLEDGE AMPLIFYING CAPACITY TO INNOVATE—COLLABORATIVE HUMAN-MACHINE INTELLIGENCE MULTIPLE IMPACTS OF INNOVATION CONCLUSIONS AND PERSPECTIVES REFERENCES SELF-ORGANIZING COORDINATION AND CONTROL APPROACHES: THE IMPACT OF SOCIAL NORMS ON SELF-REGULATED INNOVATION ACTIVITIES IN SELF-MANAGING TEAMS ABSTRACT INTRODUCTION TEAMS AND INNOVATION TEAM NORMS ENACTMENT OF NORMATIVE CONTROL INSIDE TEAMS TEAM'S DESCRIPTIVE AND INJUNCTIVE NORMS AGILE SOFTWARE DEVELOPMENT AGILE SOFTWARE METHODOLOGIES AND SCRUM AGILE SOFTWARE DEVELOPMENT IN THE INNOVATION DOMAIN INFLUENCE OF TEAM DESCRIPTIVE NORMS INFLUENCE OF TEAM INJUNCTIVE NORMS Team Members’ Attitude Boundary Control Systems Diagnostic Control Systems Concertive Control CONCLUDING DISCUSSION REFERENCES DIGITAL OPPORTUNITIES FOR FIRST-YEAR UNIVERSITY STUDENTS' MOTIVATIONAL ENHANCEMENT ABSTRACT INTRODUCTION LATVIAN STUDENTS' DESIRE TO USE SOCIAL NETWORKS TO THE LEARNING PROCESS—A GOOD INCENTIVE TO CARRY OUT SUCH RESEARCH IN UNIVERSITIES PRACTICAL EVALUATION METHOD AND RESULTS YOUNG PEOPLE MOTIVATION TO ENGAGE IN DISTANCE LEARNING PROCESS CONCLUSIONS REFERENCES BUILDING A SUCCESSFUL INNOVATION PLATFORM FOR AFFORDABLE MEDICAL TECHNOLOGY IN LOW RESOURCE SETTINGS ABSTRACT INTRODUCTION REFERENCES SOFT-FACTORS ENABLING INNOVATION INTRODUCTION METHODS THE ART OF INNOVATION PERSONAL INNOVATION PROCESS SOFT FACTORS VISIONARY-LED INNOVATION PROCESS REAL-WORLD MEDIUM SIZED COMPANY EXAMPLE SOFT FACTORS ENTERPRISE INNOVATION PROCESS SOFT FACTORS FACTOR 1: TYPE OF LEADERSHIP FACTOR 2: CULTURE AND CLIMATE FACTOR 3: HUMAN MINDSET PERSONAL RESPONSIBILITY TO REMAIN OPEN TO NEW IDEAS CERTIFICATIONS FACTOR 4: INNOVATION MANAGEMENT PROCESS DESIGN CAPABILITY PROTO METHOD RELATED TO 1PMP DESIGN FACTOR 5: CONTRACTS EXAMPLE: MULTIVENDOR OUTSOURCED ENVIRONMENT INTRODUCING A COMPANY-GENERATED INNOVATION INHERENT OBSTACLE TO MULTI-SOURCING GOVERNANCE CONCLUSION REFERENCES IOT AND M.E.S.: ARE YOU READY FOR THE NEXT INDUSTRIAL REVOLUTION?ABSTRACT INTRODUCTION DEFINITION M.E.S.: DEFINITION AND CONCEPT lOT MES AND IOT: THE BENEFITS MORE FLEXIBILITY: THE AGILITY OF M.E.S. EXPLOITATION REACTIVITY: FASTER MARKET TIME SMART FACTORY OPTIMIZATION MANUFACTURING IMPROVEMENT INCOMING CHALLENGES BIG DATA NETWORKING AND SECURITY CLOUD COMPUTING ARCHITECTURE PLATFORM INDEPENDENT FASTER PROCESSING REQUIREMENT IOT, WHAT ELSE?HCC HUMAN COMPUTER CONFLUENCE CONCLUDING REMARKS AND PERSPECTIVES REFERENCES A STRUCTURED PROCESS TO GENERATE IDEAS IN MEDTECH ABSTRACT INTRODUCTION STAGES OF AN INNOVATOR'S JOURNEY REFERENCES LOGIC-BASED MEDICINE VERSUS EVIDENCE-BASED MEDICINE FOR MODELING QUALIFIED-SELF HEALTH KITS INTRODUCTION REFERENCES VIRTUAL MOBILE INTERFACES, BUSINESS INTELLIGENCE, AND ANALYTICS CONTENT PROCESSING ABSTRACT INTRODUCTION THE VISUAL DYNAMICS WHY MULTIMEDIA DATABASES?KR AND DIAGRAMS FOR RELEVANT WORLD MODELS CONTENT MANAGEMENT AND PROCESSING ENTERPRISE CONTENT MANAGEMENT WEB CONTENT XML CONTENT ADOBE EXAMPLE CONTENT ANALYTICS AND BIG DATA A VISUAL CONTENT LOGIC THE MODELS RELEVANT KR AND VISUAL BUSINESS OBJECTS LEARNING FROM MULTIMEDIA DATA COMPUTABLE WORLD MODELS HETEROGENEOUS COMPUTING AND MODELS HETEROGENEOUS COMPUTING KNOWLEDGE BASES AND VISUAL MODEL DISCOVERY PREDICTION AND DISCOVERY TAIM AND DISCOVERY COMPUTATION FROM WAREHOUSED DATA KR AND DATA WAREHOUSING WITH KEYED FUNCTIONS THE STOCK TRADERS INTERFACE MODEL THE VISUAL DB ASSET MANAGEMENT MODEL MULTIMEDIA MIDDLEWARE DATABASES AND WRAPPERS TO USER INTERFACES CONTENT MANAGEMENT SYSTEM WITH TAIM CONTENT MODELS AND VIEWS—A SPECIFIC DESIGN PROTOTYPE BUSINESS INTELLIGENCE AND MOBILE CONTENT MULTIDIMENSIONAL CONTENT AND WEB CONTENT BUSINESS INTELLIGENCE PLATFORMS CONCLUSIONS REFERENCES A HAPTIC COMPUTING BASIS FOR FACIAL OR VISUAL EMOTION EXPRESSION RECOGNITION ABSTRACT INTRODUCTION HAPTIC IMMERSION AGENT COGNITION PROCESSES EXPRESSIONS, AND CONSCIOUSNESS STAGES NEUROCOGNITIVE MODELS MACRODOT MORPHING A HAPTIC CONTROL LOGIC LEARNING AND EXPRESSION COMPUTATIONS EMOTIONS AND EXPRESSIONS EXPRESSION AND HAPTIC COMPUTING FACS MORPH TUPUNG LEARNING AND ONTOLOGY TRANSFER VIRTUAL REALITY LOGIC AND FACIAL EXPRESSIONS CONCLUDING COMMENTS ACKNOWLEDGMENTS REFERENCES

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The Semantic Content Model
The semantic content generation method, which is proposed in this paper, is strongly related to the content structure, which is determined by the Semantic Content Model (SCM—presented in [12–14, 16, 19, 22]). The general scheme of a customizable 3D content representation (a meta-scene), which is...
(Augmented and Virtual Reality)
Knowledge-Based Cause-Effect Analysis Enriched by Generating Multilayered DSS Models
Axel Benjamins Contents Context Computer-based analysis to support decision making in organizations is a crucial competitive factor. Cause—effect analysis is an important component of these analyses as it identifies cause—effect relationships among data, which can be applied in decision-making...
(The analytics process strategic and tactical steps)
INNOVATION ECOSYSTEMS AND TECHNOLOGY
EUNIKA MERCIER-LAURENT ABSTRACT Today facing challenges and competition involves continuous innovation. It became an integrated part of organizational and business activities. Technology has a potential to empower the both interrelated steps of the innovation dynamics. While many focus on research...
(Ecosystems and Technology: Idea Generation and Content Model Processing)
CONTENT MODELS AND VIEWS—A SPECIFIC DESIGN PROTOTYPE
The model contains the core of the application’s functionality. The model encapsulates the state of the application. Sometimes the only functionality it contains is state. It knows nothing about the view or controller. The view provides the presentation of the model. It is the look of the application....
(Ecosystems and Technology: Idea Generation and Content Model Processing)
Knowledge Generation and Business Modeling
Business models adopt a holistic and systemic perspective, based on activities, intended to describe dynamics, components, and linkages through which value is created and captured. In essence a business model describes how the company intends to meet specific customer needs, how the customers will be...
(Reshaping Accounting and Management Control Systems: New Opportunities from Business Information Systems)
Idea Generation Workshop
Eighteen participants attended a 2-day idea generation workshop. As can be seen in Figure 6.4, participants were representatives of rail level crossing stakeholder organisations (e.g. government departments, safety regulators, road user advocacy bodies, transport investigators) and those with a professional...
(Integrating Human Factors Methods and Systems Thinking for Transport Analysis and Design)
Supraregional Relationships and Technology Development. A Spatial Agent-Based Model Study
Ben Vermeulen and Andreas Pyka Abstract Over the last couple of decades, firms increasingly acquire locally unavailable inputs in other regions, and are increasingly engaged in research collaboration with firms across the world. In this chapter, we propose and use a spatial agent-based...
(Innovation Networks for Regional Development: Concepts, Case Studies, and Agent-Based Models)
Idea Generation
Case Aims: To describe the idea-generation behaviour exhibited by technological entrepreneurs Entrepreneurs have a base of domain knowledge essential to performing creative transformational processes that lead to creative generation of new ideas (Shane 2003). Knowledge is a key to creative entrepreneurial...
(Technological Entrepreneurship: Technology-Driven vs Market-Driven Innovation)
Stage 2: Idea Generation
At this stage, companies search for new ideas that are compatible with the already setup objectives. During this stage, the product categories and attributes that are of prime interest must be determined. New ideas can be solicited from any potential idea source: • Conducting marketing research to...
(Advances in Dairy Products)
Idea generating – non-analogical
Introduction In this chapter the techniques we look at are essentially systematic structuring mechanisms designed to facilitate the gaining of insights into the problem. A variety of techniques are considered, including checklists, listing, morphological analysis, brainstorming, and aspects of...
(Absolute Essentials of Creative Thinking and Problem Solving)