Knowledge Manageation and Big Data: Implications for Sustainability, Policy Making and Competitiveness

• Autore: Lytras Miltiadis
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• Descrizione fisica: 1 electronic resource (416 p.)
• Soggetto non controllato: knowledge assets; social capital; MTurk; hybrid neural networks; education; knowledge specificity; innovation capability; taxonomy; mechanical patent classification; patent analysis; universities; knowledge mapping; patent association analysis; co-citation network; human capital investment; cloud data governance; risk perception; project-based organization; corporate sustainability; crowdsourcing; Big Data; smart education; international technological collaboration; social network analysis; big data analysis; collaboration network; six sigma; conceptual maturity model; NLP; RDF; IC manufacturing; Jordan; innovation; human capital; visualizing; holistic; systematic review; open data; personalized business mode; process innovation capability; sustainable competitive advantage; knowledge embeddedness; quality orientation of employees-QOE; multi-dimensional data model; knowledge sharing; keywords analysis; emerging trends; intellectual structure; administrative procedure; business intelligence; disruptive innovation; citizen-scientist; bibliometric; communication; big data; climate change; big data environment; text structure; P-PLAN; knowledge creation; top management team; sustainability; transformational training programs-TTP; sustainable development; text feature extraction; technological information; knowledge creation process; data governance; key performance indicators; technology-enhanced learning process; PROV-O; Twitter; training; knowledge management; absorptive capacity; provenance; leadership; strategic decision-making; text mining; cloud computing; technology acceptance model; linked data; social media; structural equation model; internal social networks; data analysis; social networks; product innovation capability; innovation performance; heterogeneous architectures; administrative file; new ventures; competitive advantage; user acceptance; employee loyalty-EL; ontology design
• Persona (resp. second.): Ordóñez de PablosPatricia
• Sommario/riassunto: The evolution of knowledge management theory and the special emphasis on human and social capital sets new challenges for knowledge-driven and technology-enabled innovation. Emerging technologies including big data and analytics have significant implications for sustainability, policy making, and competitiveness. This edited volume promotes scientific research into the potential contributions knowledge management can make to the new era of innovation and social inclusive economic growth. We are grateful to all the contributors of this edition for their intellectual work. The organization of the relevant debate is aligned around three pillars: SECTION A. DATA, KNOWLEDGE, HUMAN AND SOCIAL CAPITAL FOR INNOVATION: We elaborate on the new era of knowledge types and the emerging forms of social capital and their impact on technology-driven innovation. Topics include: Social Networks; Smart Education; Social Capital; Corporate Innovation; Disruptive Innovation; Knowledge integration; Enhanced Decision-Making. SECTION B. KNOWLEDGE MANAGEMENT & BIG DATA ENABLED INNOVATION: In this section, knowledge management and big data applications and systems are presented. Selective topic include: Crowdsourcing Analysis; Natural Language Processing; Data Governance; Knowledge Extraction; Ontology Design Semantic Modeling SECTION C. SUSTAINABLE DEVELOPMENT: In the section, the debate on the impact of knowledge management and big data research to sustainability is promoted with integrative discussion of complementary social and technological factors including: Big Social Networks on Sustainable Economic Development; Business Intelligence
• Altri titoli varianti: Knowledge Manageation and Big Data
• Titolo autorizzato: Knowledge Manageation and Big Data: Implications for Sustainability, Policy Making and Competitiveness
• ISBN: 3-03928-009-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910367735703321
• Lo trovi qui: Univ. Federico II