Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/77625
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dc.contributor.authorSamuel AMPONSAH ODEIen_US
dc.contributor.authorMichael AMPONSAH ODEIen_US
dc.contributor.authorHenry ANDERSONen_US
dc.date.accessioned2022-10-16T08:04:21Z-
dc.date.available2022-10-16T08:04:21Z-
dc.date.issued2020-12-01en_US
dc.identifier.issn20686633en_US
dc.identifier.issn2068651Xen_US
dc.identifier.other2-s2.0-85103338903en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103338903&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/77625-
dc.description.abstractThis paper examines firms use of external consultants and commercial labs as an essential source of knowledge for innovation performance and activities in the IT and other information service firms. Consultants are essential conduits to transfer knowledge, technologies and innovations to firms and other economic agents. Using data from the Eurostat Community Innovations Survey conducted between 2012 and 2014 and the doubly robust estimation methodology, this study, as expected, found a positive and statistically significant relationship between product and process innovations, intramural R&D, engagement in R&D, market introduction of innovations, engagement in other preparation influenced firms to rely on the services of external consultants. The results of the propensity-score matching also show that on average, firms that relied on the services of consultants were 61% more likely to improve their product innovations and 62% organizational innovations than those firms that didn’t use them. The results are important for firm managers who are aiming to be innovative and can serve as a practical guide on how to improve firm-level innovation potentials and activities.en_US
dc.subjectArts and Humanitiesen_US
dc.subjectEconomics, Econometrics and Financeen_US
dc.subjectSocial Sciencesen_US
dc.titleConsultants and firm-level innovation performances: a doubly robust estimation approachen_US
dc.typeJournalen_US
article.title.sourcetitleEastern Journal of European Studiesen_US
article.volume11en_US
article.stream.affiliationsUniverzita Tomáse Bati ve Zliněen_US
article.stream.affiliationsUniverzita Pardubiceen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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