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Ecosystems and Technology: Idea Generation and Content Model Processing


PREFACETECHNOLOGY SELECTION FOR SOFTWARE STARTUPSABSTRACTTOOLSWHY TOOLS MATTER?SKILLS MATTER MOREMOST INTERESTING SOFTWARE SYSTEMS ARE BEING BUILT FOR THE FIRST TIMELEADING EDGE OR MERE SURVIVALTOOLS AND CULTUREREFERENCESINNOVATION ECOSYSTEMS AND TECHNOLOGYABSTRACTINTRODUCTIONRELATED WORKSOME DEFINITIONSMULTIPLE FORMS OF INNOVATIONINNOVATION PROCESSTHINKINGKNOWLEDGE MANAGEMENT AND INNOVATIONMODEL OF INNOVATION ECOSYSTEMSECOINNOVATION PROCESS-CONDITIONS FOR BALANCEECOINNOVA TIONECOINNOVATION PROCESSIMPORTANCE OF MANAGING KNOWLEDGEAMPLIFYING CAPACITY TO INNOVATE—COLLABORATIVE HUMAN-MACHINE INTELLIGENCEMULTIPLE IMPACTS OF INNOVATIONCONCLUSIONS AND PERSPECTIVESREFERENCESSELF-ORGANIZING COORDINATION AND CONTROL APPROACHES: THE IMPACT OF SOCIAL NORMS ON SELF-REGULATED INNOVATION ACTIVITIES IN SELF-MANAGING TEAMSABSTRACTINTRODUCTIONTEAMS AND INNOVATIONTEAM NORMSENACTMENT OF NORMATIVE CONTROL INSIDE TEAMSTEAM'S DESCRIPTIVE AND INJUNCTIVE NORMSAGILE SOFTWARE DEVELOPMENTAGILE SOFTWARE METHODOLOGIES AND SCRUMAGILE SOFTWARE DEVELOPMENT IN THE INNOVATION DOMAININFLUENCE OF TEAM DESCRIPTIVE NORMSINFLUENCE OF TEAM INJUNCTIVE NORMSTeam Members’ AttitudeBoundary Control SystemsDiagnostic Control SystemsConcertive ControlCONCLUDING DISCUSSIONREFERENCESDIGITAL OPPORTUNITIES FOR FIRST-YEAR UNIVERSITY STUDENTS' MOTIVATIONAL ENHANCEMENTABSTRACTINTRODUCTIONLATVIAN STUDENTS' DESIRE TO USE SOCIAL NETWORKS TO THE LEARNING PROCESS—A GOOD INCENTIVE TO CARRY OUT SUCH RESEARCH IN UNIVERSITIESPRACTICAL EVALUATION METHOD AND RESULTSYOUNG PEOPLE MOTIVATION TO ENGAGE IN DISTANCE LEARNING PROCESSCONCLUSIONSREFERENCESBUILDING A SUCCESSFUL INNOVATION PLATFORM FOR AFFORDABLE MEDICAL TECHNOLOGY IN LOW RESOURCE SETTINGSABSTRACTINTRODUCTIONREFERENCESSOFT-FACTORS ENABLING INNOVATIONINTRODUCTIONMETHODSTHE ART OF INNOVATIONPERSONAL INNOVATION PROCESSSOFT FACTORSVISIONARY-LED INNOVATION PROCESSREAL-WORLD MEDIUM SIZED COMPANY EXAMPLESOFT FACTORSENTERPRISE INNOVATION PROCESSSOFT FACTORSFACTOR 1: TYPE OF LEADERSHIPFACTOR 2: CULTURE AND CLIMATEFACTOR 3: HUMAN MINDSETPERSONAL RESPONSIBILITY TO REMAIN OPEN TO NEW IDEASCERTIFICATIONSFACTOR 4: INNOVATION MANAGEMENT PROCESS DESIGN CAPABILITYPROTO METHOD RELATED TO 1PMP DESIGNFACTOR 5: CONTRACTSEXAMPLE: MULTIVENDOR OUTSOURCED ENVIRONMENTINTRODUCING A COMPANY-GENERATED INNOVATIONINHERENT OBSTACLE TO MULTI-SOURCING GOVERNANCECONCLUSIONREFERENCESIOT AND M.E.S.: ARE YOU READY FOR THE NEXT INDUSTRIAL REVOLUTION?ABSTRACTINTRODUCTIONDEFINITIONM.E.S.: DEFINITION AND CONCEPTlOTMES AND IOT: THE BENEFITSMORE FLEXIBILITY: THE AGILITY OF M.E.S. EXPLOITATIONREACTIVITY: FASTER MARKET TIMESMART FACTORYOPTIMIZATIONMANUFACTURING IMPROVEMENTINCOMING CHALLENGESBIG DATANETWORKING AND SECURITYCLOUD COMPUTINGARCHITECTUREPLATFORM INDEPENDENTFASTER PROCESSING REQUIREMENTIOT, WHAT ELSE?HCC HUMAN COMPUTER CONFLUENCECONCLUDING REMARKS AND PERSPECTIVESREFERENCESA STRUCTURED PROCESS TO GENERATE IDEAS IN MEDTECHABSTRACTINTRODUCTIONSTAGES OF AN INNOVATOR'S JOURNEYREFERENCESLOGIC-BASED MEDICINE VERSUS EVIDENCE-BASED MEDICINE FOR MODELING QUALIFIED-SELF HEALTH KITSINTRODUCTIONREFERENCESVIRTUAL MOBILE INTERFACES, BUSINESS INTELLIGENCE, AND ANALYTICS CONTENT PROCESSINGABSTRACTINTRODUCTIONTHE VISUAL DYNAMICSWHY MULTIMEDIA DATABASES?KR AND DIAGRAMS FOR RELEVANT WORLD MODELSCONTENT MANAGEMENT AND PROCESSINGENTERPRISE CONTENT MANAGEMENTWEB CONTENTXML CONTENTADOBE EXAMPLE CONTENTANALYTICS AND BIG DATAA VISUAL CONTENT LOGICTHE MODELSRELEVANT KR AND VISUAL BUSINESS OBJECTSLEARNING FROM MULTIMEDIA DATACOMPUTABLE WORLD MODELSHETEROGENEOUS COMPUTING AND MODELSHETEROGENEOUS COMPUTINGKNOWLEDGE BASES AND VISUAL MODEL DISCOVERYPREDICTION AND DISCOVERYTAIM AND DISCOVERY COMPUTATION FROM WAREHOUSED DATAKR AND DATA WAREHOUSING WITH KEYED FUNCTIONSTHE STOCK TRADERS INTERFACE MODELTHE VISUAL DB ASSET MANAGEMENT MODELMULTIMEDIA MIDDLEWARE DATABASES AND WRAPPERS TO USER INTERFACESCONTENT MANAGEMENT SYSTEM WITH TAIMCONTENT MODELS AND VIEWS—A SPECIFIC DESIGN PROTOTYPEBUSINESS INTELLIGENCE AND MOBILE CONTENTMULTIDIMENSIONAL CONTENT AND WEB CONTENTBUSINESS INTELLIGENCE PLATFORMSCONCLUSIONSREFERENCESA HAPTIC COMPUTING BASIS FOR FACIAL OR VISUAL EMOTION EXPRESSION RECOGNITIONABSTRACTINTRODUCTIONHAPTIC IMMERSIONAGENT COGNITION PROCESSESEXPRESSIONS, AND CONSCIOUSNESS STAGESNEUROCOGNITIVE MODELSMACRODOT MORPHINGA HAPTIC CONTROL LOGICLEARNING AND EXPRESSION COMPUTATIONSEMOTIONS AND EXPRESSIONSEXPRESSION AND HAPTIC COMPUTINGFACS MORPH TUPUNGLEARNING AND ONTOLOGY TRANSFERVIRTUAL REALITY LOGIC AND FACIAL EXPRESSIONSCONCLUDING COMMENTSACKNOWLEDGMENTSREFERENCES
 
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