Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/44715
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dc.contributor.authorMikelsone, Elina-
dc.contributor.authorSpilbergs, Aivars-
dc.contributor.authorSEGERS, Jean-Pierre-
dc.contributor.authorVolkova, Tatjana-
dc.date.accessioned2024-11-27T11:01:59Z-
dc.date.available2024-11-27T11:01:59Z-
dc.date.issued2024-
dc.date.submitted2024-10-21T09:23:29Z-
dc.identifier.citationHamdan, A; Braendle, U (Eds.), Harnessing AI, Machine Learning, and IoT for Intelligent Business Volume 2, Springer Nature, p. 3 -27-
dc.identifier.isbn9783031662171-
dc.identifier.isbn9783031662188-
dc.identifier.issn2198-4182-
dc.identifier.issn2198-4190-
dc.identifier.urihttp://hdl.handle.net/1942/44715-
dc.description.abstractIdea management is a process that allows an organization to capture, develop and implement new ideas. In the COVID-19 pandemic, idea management systems (IMS) can play a vital role in improving innovation results and financial performance for organizations. IMS is a software-based platform that enables organizations to manage their idea management processes more efficiently. The main aim is to study idea management (IM) competencies and how idea management systems (IMS) can improve innovation results and financial performance in COVID-19 time concerning. To fill this research gap this study used a survey of more than 500 firms from all around the world. It was revealed that competencies and IM types impact the quantity of ideas, but the quantity of ideas impacts the quality of ideas, which increases innovation results that lead to financial performance improvements.-
dc.language.isoen-
dc.publisherSpringer Nature-
dc.relation.ispartofseriesStudies in Systems, Decision and Control-
dc.rightsThe Author(s), under exclusive license to Springer Nature Switzerland AG 2024 A. Hamdan and U. Braendle (eds.), Harnessing AI, Machine Learning, and IoT for Intelligent Business, Studies in Systems, Decision and Control 550,-
dc.subject.otherIdea management type-
dc.subject.otherIdea management systems-
dc.subject.otherWeb-based idea management-
dc.subject.otherCompetencies ·Capacity-
dc.subject.otherInnovation results-
dc.subject.otherFinancial performance-
dc.titleIdea Management Type, Competencies and Capacity Impact on Innovation Results and Financial Performance-
dc.typeBook Section-
local.bibliographicCitation.authorsHamdan, Allam-
local.bibliographicCitation.authorsBraendle, Udo-
dc.identifier.epage27-
dc.identifier.spage3-
local.bibliographicCitation.jcatB2-
local.type.refereedRefereed-
local.type.specifiedBook Section-
local.relation.ispartofseriesnr550-
dc.identifier.doi10.1007/978-3-031-66218-8_1-
dc.identifier.eissn2198-4190-
local.provider.typeCrossRef-
local.bibliographicCitation.btitleHarnessing AI, Machine Learning, and IoT for Intelligent Business Volume 2-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.contributorMikelsone, Elina-
item.contributorSpilbergs, Aivars-
item.contributorSEGERS, Jean-Pierre-
item.contributorVolkova, Tatjana-
item.fullcitationMikelsone, Elina; Spilbergs, Aivars; SEGERS, Jean-Pierre & Volkova, Tatjana (2024) Idea Management Type, Competencies and Capacity Impact on Innovation Results and Financial Performance. In: Hamdan, A; Braendle, U (Eds.), Harnessing AI, Machine Learning, and IoT for Intelligent Business Volume 2, Springer Nature, p. 3 -27.-
item.accessRightsRestricted Access-
Appears in Collections:Research publications
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