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dc.contributor.authorSkačkauskienė, Ilona
dc.contributor.authorHrušecká, Denisa
dc.contributor.authorKatinienė, Aušra
dc.contributor.authorČepel, Martin
dc.date.accessioned2023-09-18T17:06:03Z
dc.date.available2023-09-18T17:06:03Z
dc.date.issued2018
dc.identifier.issn1212-3609
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/119548
dc.description.abstractThere is no doubt that knowledge is a key asset of any organisation, enabling it to get a competitive advantage, implement innovation, deal with difficulties and improve its management processes. Requirements on employees´ knowledge have been rising in recent years, especially with regard to the new trends and currently the widely discussed fourth industrial revolution. In the emerging network economy and knowledge society, organisations must be ready for complex knowledge dissemination and management processes. Knowledge is collected, stored, assessed, and created by an organisation and shared by its members. In the course of knowledge dissemination, members of the organisation create synergy which generates unique knowledge. Managing organisational knowledge necessary for the creation of added value and the acquisition of a competitive advantage requires evaluating the knowledge synergy and its components. The paper aims at identifying knowledge synergy components and providing an evaluation method of employees’ knowledge synergy and its components to have a rational and objective evaluation of employees’ knowledge, relations among employees, and organisational knowledge synergy. To achieve this aim, knowledge synergy components are identified, evaluation issues are revealed, types of knowledge synergy relations are presented together with an evaluation formula for each of these relations, components of employees’ knowledge and factors reflecting knowledge content are specified, an evaluation formula for each component is provided, and an organisational knowledge synergy evaluation method is described. Due to its versatility, presented results are applicable in any industry or business area for measuring and improving intellectual capital as well as for benchmarking purposes. The research applies methods of analysis, synthesis, graph theory and combinatorics as well as a systematic approach.eng
dc.formatPDF
dc.format.extentp. 144-158
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyEconLit
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.source.urihttps://dspace.tul.cz/bitstream/handle/15240/22792/EM_1_2018_10.pdf?sequence=1&isAllowed=y
dc.subjectVE03 - Inovacijų vadyba / Innovation management
dc.titleEvaluation of knowledge synergy components
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references57
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionTomas Bata University in Zlín
dc.contributor.institutionLIGS University LLC
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enKnowledge management
dc.subject.enKnowledge synergy
dc.subject.enKnowledge sharing
dc.subject.enIntellectual capital
dc.subject.enEvaluation
dc.subject.enCommunication
dcterms.sourcetitleE&M Ekonomie a management=E&M Economics and management
dc.description.issueiss. 1
dc.description.volumeVol. 21
dc.publisher.nameTechnická univerzita v Liberci
dc.publisher.cityLiberec
dc.identifier.doi000429786100010
dc.identifier.doi2-s2.0-85045067075
dc.identifier.doi10.15240/tul/001/2018-1-010
dc.identifier.elaba26186454


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