| Author | Meyer-Brötz, Fabian | dc.contributor.author |
| Date of accession | 2019-02-13T14:36:52Z | dc.date.accessioned |
| Available in OPARU since | 2019-02-13T14:36:52Z | dc.date.available |
| Year of creation | 2017 | dc.date.created |
| Date of first publication | 2019-02-13 | dc.date.issued |
| Abstract | This cumulative dissertation addresses the intersection between technology and innovation management – in particular technology foresight – and bibliometrics. | dc.description.abstract |
| Language | en_US | dc.language.iso |
| Publisher | Universität Ulm | dc.publisher |
| Has part | Birgit Stelzer, Fabian Meyer-Brötz, Edgar Schiebel, and Leo Brecht; Combining the scenario technique with bibliometrics for technology foresight; Technological Forecasting & Social Change; Vol. 98, Pages 137-156; DOI 10.1016/j.techfore.2015.06.008 | dc.relation.haspart |
| Has part | Fabian Meyer-Brötz, Birgit Stelzer, Edgar Schiebel, and Leo Brecht; Mapping technology and innovation management literature using hybrid bibliometric networks; International Journal of Technology Management; Vol.77 No.4, Pages 235-286; DOI 10.1504/IJTM.2018.092973 | dc.relation.haspart |
| Has part | Fabian Meyer-Brötz, Edgar Schiebel, and Leo Brecht; Experimental evaluation of parameter settings in calculation of hybrid similarities; Scientometrics; Vol. 111, Issue 3, Pages 1307-1325; DOI 10.1007/s11192-017-2366-2 | dc.relation.haspart |
| Has part | Fabian Meyer-Brötz; Bibliometric timelines for the identification of emerging technologies; Unpublished Article | dc.relation.haspart |
| License | Standard | dc.rights |
| Link to license text | https://oparu.uni-ulm.de/xmlui/license_v3 | dc.rights.uri |
| Keyword | Foresight | dc.subject |
| Keyword | Hybrid similarities | dc.subject |
| Keyword | Technology and innovation management | dc.subject |
| Dewey Decimal Group | DDC 330 / Economics | dc.subject.ddc |
| LCSH | Bibliometrics | dc.subject.lcsh |
| LCSH | Technological forecasting | dc.subject.lcsh |
| LCSH | Technology; Management | dc.subject.lcsh |
| LCSH | Technological innovations; Management | dc.subject.lcsh |
| Title | A bibliometric technique for quantitative technology foresight | dc.title |
| Resource type | Dissertation | dc.type |
| Date of acceptance | 2019-01-15 | dcterms.dateAccepted |
| Referee | Brecht, Leo | dc.contributor.referee |
| Referee | Klier, Mathias | dc.contributor.referee |
| Referee | Vom Brocke, Jan | dc.contributor.referee |
| DOI | http://dx.doi.org/10.18725/OPARU-11869 | dc.identifier.doi |
| PPN | 1655093509 | dc.identifier.ppn |
| URN | http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-11926-0 | dc.identifier.urn |
| GND | Prognoseverfahren | dc.subject.gnd |
| GND | Technologiemanagement | dc.subject.gnd |
| GND | Innovationsmanagement | dc.subject.gnd |
| Faculty | Fakultät für Mathematik und Wirtschaftswissenschaften | uulm.affiliationGeneral |
| Institution | Institut für Technologie- und Prozessmanagement | uulm.affiliationSpecific |
| Grantor of degree | Fakultät für Mathematik und Wirtschaftswissenschaften | uulm.thesisGrantor |
| DCMI Type | Text | uulm.typeDCMI |
| Category | Publikationen | uulm.category |
| Bibliography | uulm | uulm.bibliographie |
