TY - BOOK ID - 61121893 TI - Knowledge Manageation and Big Data: Implications for Sustainability, Policy Making and Competitiveness AU - Lytras, Miltiadis AU - Ordóñez de Pablos, Patricia PY - 2019 SN - 3039280090 3039280082 PB - MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - knowledge assets KW - social capital KW - MTurk KW - hybrid neural networks KW - education KW - knowledge specificity KW - innovation capability KW - taxonomy KW - mechanical patent classification KW - patent analysis KW - universities KW - knowledge mapping KW - patent association analysis KW - co-citation network KW - human capital investment KW - cloud data governance KW - risk perception KW - project-based organization KW - corporate sustainability KW - crowdsourcing KW - Big Data KW - smart education KW - international technological collaboration KW - social network analysis KW - big data analysis KW - collaboration network KW - six sigma KW - conceptual maturity model KW - NLP KW - RDF KW - IC manufacturing KW - Jordan KW - innovation KW - human capital KW - visualizing KW - holistic KW - systematic review KW - open data KW - personalized business mode KW - process innovation capability KW - sustainable competitive advantage KW - knowledge embeddedness KW - quality orientation of employees-QOE KW - multi-dimensional data model KW - knowledge sharing KW - keywords analysis KW - emerging trends KW - intellectual structure KW - administrative procedure KW - business intelligence KW - disruptive innovation KW - citizen-scientist KW - bibliometric KW - communication KW - big data KW - climate change KW - big data environment KW - text structure KW - P-PLAN KW - knowledge creation KW - top management team KW - sustainability KW - transformational training programs-TTP KW - sustainable development KW - text feature extraction KW - technological information KW - knowledge creation process KW - data governance KW - key performance indicators KW - technology-enhanced learning process KW - PROV-O KW - Twitter KW - training KW - knowledge management KW - absorptive capacity KW - provenance KW - leadership KW - strategic decision-making KW - text mining KW - cloud computing KW - technology acceptance model KW - linked data KW - social media KW - structural equation model KW - internal social networks KW - data analysis KW - social networks KW - product innovation capability KW - innovation performance KW - heterogeneous architectures KW - administrative file KW - new ventures KW - competitive advantage KW - user acceptance KW - employee loyalty-EL KW - ontology design UR - https://www.unicat.be/uniCat?func=search&query=sysid:61121893 AB - 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 ER -