Academic literature on the topic 'Evaluation innovation'
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Journal articles on the topic "Evaluation innovation"
Tabas, Jakub, Michaela Beranová, and Josef Polák. "Evaluation of innovation processes." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 2 (2012): 523–32. http://dx.doi.org/10.11118/actaun201260020523.
Full textMeshcheryakova, Tatiana. "Evaluation of innovation activity science-intensive and high-tech of enterprises." MATEC Web of Conferences 170 (2018): 01048. http://dx.doi.org/10.1051/matecconf/201817001048.
Full textСтоляр and T. Stolyar. "Evaluation of Innovation Efficiency." Economics 4, no. 4 (August 17, 2016): 37–42. http://dx.doi.org/10.12737/21081.
Full textGorokhova, A. E. "Evaluation of innovations: the economic content and methodological support." Izvestiya MGTU MAMI 7, no. 1-5 (September 10, 2013): 200–206. http://dx.doi.org/10.17816/2074-0530-67888.
Full textImomoh, Egbert. "Innovation: Well Evaluation Innovation." Journal of Petroleum Technology 64, no. 12 (December 1, 2012): 14–16. http://dx.doi.org/10.2118/1212-0014-jpt.
Full textTrush, Iryna. "Ways to improve the innovation performance of enterprises." Herald of Ternopil National Economic University, no. 4(98) (February 20, 2021): 138. http://dx.doi.org/10.35774/visnyk2020.04.138.
Full textKostiukevich, Ruslan, and Abdulhakem Zegllam. "SCIENTIFIC AND METHODICAL APPROACHES TO THE EVALUATION OF INNOVATION POTENTIAL ECONOMIC SYSTEMS IN GLOBAL COMPETITION." International Journal of New Economics and Social Sciences 1, no. 1 (June 30, 2015): 68–74. http://dx.doi.org/10.5604/01.3001.0010.4699.
Full textLee, Sangwon. "When is the atypical design not penalized? Moderating role of product innovativeness and technological sophistication in consumer’s evaluation of new products." American Journal of Business 34, no. 3/4 (November 15, 2019): 169–88. http://dx.doi.org/10.1108/ajb-06-2018-0035.
Full textДмитрієва, Оксана Іллівна. "ОЦІНЮВАННЯ ІННОВАЦІЙНОГО РОЗВИТКУ ТРАНСПОРТНОЇ ІНФРАСТРУКТУРИ." Bulletin of the Kyiv National University of Technologies and Design. Series: Economic sciences 139, no. 5 (April 3, 2020): 8–20. http://dx.doi.org/10.30857/2413-0117.2019.5.1.
Full textOlshanska, Oleksandra, and Polina Puzyrova. "THE INNOVATIVE POTENTIAL OF INTEGRATED BUSINESS STRUCTURES: THEORETICAL AND METHODOLOGICAL FRAMEWORK FOR EVALUATION AND IMPLEMENTATION." Journal of Strategic Economic Research, no. 1 (June 7, 2022): 56–66. http://dx.doi.org/10.30857/2786-5398.2022.1.6.
Full textDissertations / Theses on the topic "Evaluation innovation"
Ståhlbröst, Anna. "Human-centric evaluation of innovation /." Luleå : Luleå tekniska universitet, 2006. http://epubl.ltu.se/1402-1757/2006/58/.
Full textStåhlbröst, Anna. "Human-centric evaluation of innovation." Licentiate thesis, Luleå tekniska universitet, Innovation och Design, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-17386.
Full textGodkänd; 2006; 20070110 (haneit)
Grundström, Jonas. "From innovation to clinical value : An evaluation of innovative neurological medical devices." Thesis, Department of Biomedical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16945.
Full textA global mapping of early stage medical technology companies has been implemented. The companies have emerging products within neurology and have undergone an evaluation by clinicians concerning the ability to provide clinical value for Swedish health care. The evaluation process has been executed by discussion with neurologists and neurosurgeons in combination with a literature survey. To limit the evaluation process, areas of stroke, traumatic brain injury, Parkinson’s disease, multiple sclerosis and epilepsy were chosen.
Some companies turn up to develop more requested products than others. Medfield Diagnostics AB, with their microwave screening product could in the future address the need for fast, accurate and accessible diagnosis of stroke and head trauma. The NBS system from Nexstim Ltd. has potential to provide clinical value by the ability of the products TMS technology to navigate in the brain. Elminda Ltd. product built of an evidence based rehabilitation platform could enhance recovery of patients with neurological disorders on an individual basis. BrainsGate Ltd. product to deliver drugs over the blood brain barrier provides totally new treatment options and NeuroSonix Ltd. ultrasound based product could assist the surgeon and decrease damageable embolic debris. Neurolife non-invasive solutions innovative device, which non-invasively measured the intracranial pressure, would be a totally new way to monitor patients.
A symposium was organized and three top ranked companies with stroke care products were invited to present their technology for Swedish clinicians in Stockholm. Participating companies were Nexstim Ltd., Elminda Ltd. and Medfield Diagnostics AB, who were all well received and considered to have interesting technologies with ability to provide clinical value.
Vaverková, Pavla. "Process Innovation Efficiency Evaluation in IT Organisation." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2019. http://www.nusl.cz/ntk/nusl-402046.
Full textWågström, Greta, and Gustav Meisner. "Innovation Management : Evaluation Criteria for Idea Selection." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252750.
Full textInnovation utanför företagets kärnverksamhet är viktigt för alla företag på en snabbt föränderlig marknad. Företag som vill satsa på strategisk innovation för att kunna ta tillvara på nya möjligheter behöver metoder för att kunna hantera innovationsprocessen. Detta examensarbete undersöker hur ett etablerat högteknologiskt företag som främjar intraprenörskap använder kriterier i urvalsprocessen att välja mellan olika innovationsförslag. Studien genomför en fallstudie genom att studera ett bolag, benämnt företag A, och samlar in kvalitativa data genom arkivdokument och 19 semistrukturerade intervjuer. Studien använder Christensens teori om disruptiv innovation för att analysera resultaten. Resultaten visar att det studerade högteknologiska företaget använder ett antal kriterier som stöds av tidigare forskares resultat inom området produktutveckling och externa investerare. Kriterierna som identifieras i studien är inom dimensionerna marknad och värdeskapande, produkt och teknik, företagsverksamhet och ekonomi, hur väl innovationen passar företaget och team. Intervjuerna avslöjade att personliga överväganden utgör ytterligare informella kriterier för de som utvärderar, som lägger stor vikt på intraprenörens egenskaper och presentation. Resultaten tyder på att kriterierna bör användas mindre strikt i början av processen, vilket stöds av tidigare forskning. Kriterier bidrar också till insyn i innovationsprocessen och kan användas som riktlinjer för innovatören. Christensens teori stödjer inte användningen av kriterierna marknadsstorlek, hur väl innovationen passar företaget och att verifiera innovationen med en kund på grund av osäkerhet kring framväxande marknader och nya teknologier.
Maghe, Virginie. "The National Innovation System as theoretical framework for the evaluation of innovation policies." Doctoral thesis, Universite Libre de Bruxelles, 2019. https://dipot.ulb.ac.be/dspace/bitstream/2013/283941/3/PhD_Maghe.pdf.
Full textChapter I: The innovation system concept, which is the central concept of this thesis, finds its foundations in the evolutionary theory of economics and the Schumpeterian point of view on the co-evolution of innovation, organizations and institutions. Developed by Nelson and Winter in 1982, this theory is based on the idea that the surviving firms on the markets are not necessarily the ones that maximize their profits. Indeed, their ability to survive is reinforced by the development of internal organizational routines allowing for a fast adaptation to their changing environment. Thus, when assessing performances in terms of innovation in general, the single firm should not by the only centre of attention anymore. The entire environment surrounding its innovation activities should by analysed to understand the conditions underlying its failure or success. The definition of the innovation system (IS) concept finds its roots in this theory: the environment in which innovation activities take place is as important as the decision of the single innovation actor. Defined as all the institutions and organizations involved in the creation and diffusion of new knowledge and technology, the IS includes not only stakeholders of the innovation process, but also all the transversal sectors affecting innovation near or far: labour market, finance, and education… In such a context, the main justification for public intervention shifted from the market failures described by the neo-classical theory, to systemic failures, i.e. the dysfunctions of the IS, on which governments may take actions. And this shift in the policy rationale also leads to specific evaluation techniques of public initiatives.
Chapter II: The IS concept is defined as all the institutions and organizations involved in the creation, diffusion and absorption of new knowledge and technology. An important question is raised by such a point of view: what is a system? What are its components? How does it foster innovation? This theoretical step is necessary to understand all the aspect of the innovation environment that are concerned by innovation policy design. How could a policy-maker integrate the systemic framework of the IS when initiating public action with the aim to improve performances in terms of science, technology and innovation? A large part of the economic literature is dedicated to the description of innovation systems. So the aim of this chapter consists of synthetizing the aspects referenced in the economic theory as the components of the IS in a normative exercise. First, the term “system” involves the articulation of several components and the relationships existing between them. Departing from this definition, three broad aspect of the IS are considered: the actors of the innovation process, the functions of the system and the resulting objectives that should be pursued by the stakeholders, and the instruments used by public authorities to intervene in such a systemic context. The actors involved in the innovation process are not only the recipient of a public policy, they are also policy makers, implementation agents and targets of the policy measures. The functions of the IS mainly concerns the creation, diffusion and absorption of new knowledge and technology. As the role of the State is to improve the performances of such a system, those functions should be considered as the objectives of public action. Finally, the instruments used by the State to reach these goals can also be detailed: innovation policies can be implemented through direct support measures (financial or fiscal tools), the improvement of the infrastructure allowing for the diffusion of innovation, or the general framework conditions affecting performances. The normative exercise ended up with an exhaustive taxonomy that may be used for further analysis
Chapter III: As the aim of this thesis is to develop analytical tools to integrate the IS point of view in public policy evaluation, the most important aspect of the work consisted in building an exhaustive database on innovation policies implemented in the EU28 Member States and its main non-EU competitors (Australia, China, Japan, the US, India, the Russian Federation, Brazil, South Korea and Canada). This database was constructed in the context of the ENIRI study conducted by the European Commission, between 2013 and 2015. This long-lasting work involved the collection of information concerning the innovation policy measures implemented in all the considered countries, both at the national and regional levels. This information was related to the IS dimensions highlighted in previous chapter. The main sources for data collection were the RIO (former Erawatch) and OECD STIP databases, the RIM Plus Monitor and national sources (Ministry websites), as well as national experts. The budgets was also included or estimated for the 2007-2013 period. Once the data were collected, the policy measures were classified according to the theoretical canvas developed through the taxonomy of chapter II. Functional matrices combining different aspects of the IS allowed for detailed information on the distribution of policy measures among the different dimensions of the system. For example, it is possible to estimate the percentage of policy measures implemented in one country that are dedicated to the fundamental research activities in SMEs. This distribution has been computed both in absolute and budget terms. This difference provided information on the contrast existing between governmental claims and intentions in terms of innovation policies and the effective use of money dedicated to the announced target. Indeed, it is not because a substantial number of policies are dedicated to a specific sector of beneficiary that the allocated budget will be more important. Thus, this policy database should shed a light on the way innovation policies are articulated at a national level, and how they are effectively implemented through their budgets
Chapter IV: The evolutionary foundations of the IS concept imply that there is no general equilibrium describing an ideal situation to which a specific case can be compared. In other words, there is no optimal innovation system, and no ideal configuration that should be imitated by the others. This absence of equilibrium and the systemic point of view adopted in this context lead to the use of alternative techniques to evaluate performances and policies. As suggested by Edquist (2006), this has to be done through a diagnosis of the IS, consisting in the identification of the systemic failures, and the elaboration of strategy to fix the problem. This demarche will be investigated in this chapter of the thesis and the following. In this section, a diagnosis of the IS of 37 countries (28 EU and their 9 non-EU competitors) will be realized through a typology based on innovation performances indicators. The aim of such an analysis is to see whether the different IS can be gathered in groups sharing the same characteristics, relative strengths and weaknesses. The expected results should reveal groups of countries sharing the same configurations in terms of innovation process, and facing the same type of weaknesses, dysfunctions or systemic failures. By doing so, one should be able to identify the needs of each IS, i.e. the components that may need improvement and eventually public intervention. To do so, a principal component analysis and a hierarchical ascendant clustering technique have been implemented on the 37 IS, revealing 4 clusters of countries, depending on their NIS characteristics and advancement: 1) The Asian economies, 2) The lagging-behind and catching-up NIS, 3) The small opened systems, 4) The technological leaders. This analysis has been realized for the 2003-2005 and 2013-2015 periods, revealing that, if the general features of the clusters do not tend to change over time, some countries faced a change a modification of their status: Korea left the Asian group to join the leaders, Cyprus and Ireland opened their boarders to a larger extent in a decade.
Chapter V: Innovation policy typologyThis chapter is focused on the construction of an innovation policy typology based on the distributions of policies obtained in the database presented in chapter III. The results of this typology will be compared with the diagnosis realized in previous section to see if the weaknesses and needs of the NIS are effectively targeted by public action in innovation. Also, the aspects that could enhance or weaken such action, and their combination with other component of the NIS could be better understood. To this purpose, a multiple factor analysis has been implemented on the distributions of policy measures in terms of NIS components, followed by a hierarchical ascendant clustering, revealing groups of countries sharing the same characteristics in terms of policy design and implementation. 34 NIS have been examined (India, Brazil and Russia have been removed from the sample due to the bad quality of the information), using both the budget-weighted and non-budget-weighted distributions of measures on the 2007-2013 period. However, the results of this typology cannot be interpreted separately from the general innovation framework in which the public action is implemented. Indeed, countries having the same features in terms of beneficiaries and/or objectives in terms of policy do not necessarily share the same kind of IS. These implementation characteristics should rather be interpreted in light of the results obtained in the NIS diagnosis typology, in order to examiner if the public money effectively go where it is needed. In general, the different examined countries seem to effectively tackle their weaknesses, but countries facing the same types of problems do not implement the same type of policy mix, reinforcing the hypothesis that the innovation process is embedded in a large institutional framework that my orient public action in a direction rather than another. Two specific cases hold the attention in those results: South Korea, whose leader status came along with an improvement of the in force regulatory framework and a focus on private research, and Japan, dealing with research in the pharmaceutical research and ageing-population issues.
Chapter VI: The impact of macroeconomic and IS factors on the efficiency of public R&DAnother point of view can be adopted in an attempt to integrate the IS representations in policy evaluation techniques: the analysis of their impact on the efficiency of public R&D in leveraging private investments. In this chapter, a combination of two types of analysis is used to examine the problematic: the study of the efficiency of public R&D expenditure and its determinants on one hand, and the investigation of a possible crowding out effect of public R&D on the private one on another hand. The crowding out effect is translated into efficiency analysis, considering the BERD funded by government as an input, and the BERD funded by business as an output. And if an increase in the output leads to a decrease in the output, public intervention is considered to crowd out private initiative, as the firm may decide to replace its own investment with public money, instead of using it as an extra resource to increase its R&D activities. In this context, the IS as environment of R&D activities can be seen as a determinant of this efficiency, as it can strengthen or weaken this crowding out effect. The question asked in this section is the following: how to quantify and model the interdependencies existing between the different components of a NIS in order to integrate them in a quantitative analysis. This has been done in this study by implementing factorial analysis (Buesa, 2010) on a set of indicators collected in the Global Competitiveness Index database, and considered as descriptors of the different aspects of the innovation system. Those IS factors are: 1) the general STI environment, 2) the accessibility of the financial markets, 3) the internationalization of the system, 4) barriers to entrepreneurship and 5) the flexibility of labour regulation. Afterwards, these variables have been added as efficiency determinants in a stochastic frontier model assessing a possible crowding out effect between public and private initiatives. The main results showed that there is an additional effect of public R&d expenditure on private R&D investments (no crowding out). Moreover, the general STI environment and accessibility of financial markets have a positive impact on this efficiency, contrary to the presence of foreign stakeholders in the system. The two last factors remain insignificant. Those results suggest that, if public intervention should have an effect on the performances of the NIS, this relationship is also reciprocal: a well-functioning NIS may have a positive effect on the results of a policy measure.
Doctorat en Sciences économiques et de gestion
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Islām, Muḥammad [Verfasser]. "Evaluation and Innovation in Opportunistic Networks / Muhammad Islam." Konstanz : Bibliothek der Universität Konstanz, 2011. http://d-nb.info/1017235996/34.
Full textMere, Philippe. "Evaluation financière d'une innovation dans le négoce de licence." Paris 1, 1993. http://www.theses.fr/1993PA010017.
Full textLicensing is the way for a patent owner to allow the working of his patnted process to a licensee who will ensure this working on a specific market. Like any commercial agreement, licensee contract encloses financial terms through two elements which are : - the cash, paid without delay from licensee to licensor - the royalty rate paid from licensee to licensor, based on the licensee turnover the input data of our model are : - the research and developpment amount - the quality of the innovation which is contain in the new product or process; this quality is determined by the patent report - the market study the algorithm which links the input data by a computtion takes care of the practices of the professional of this activity sector. Also, we have analyse the royalties as a share of the margin realise on this specific project by the licensee. This royalties rates in affected by the considerations of two elements which are : the patent force which is determined by the anteriority report and the patent age. The cash, will be determined by the delay time which is necessary to recover the research an developpment expenses. This model, wich elements and principales are the heart of a natural licensee commercial agreement between a technology seller and is potential buyer right also serves at the beginning of this transaction by supplying an objective values for the parties. In conclusion, we have worked on the patents valuation, which are a part of the intangible asset for a society
Ghinoi, Stefano <1986>. "Innovation Policies in Tuscany: an Impact Evaluation on SME." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7257/1/Ghinoi_Stefano_tesi.pdf.
Full textGhinoi, Stefano <1986>. "Innovation Policies in Tuscany: an Impact Evaluation on SME." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7257/.
Full textBooks on the topic "Evaluation innovation"
Wiesner, Claudia, and Sylvia Bordne. Lokales Regieren – Innovation und Evaluation. Wiesbaden: VS Verlag für Sozialwissenschaften, 2010. http://dx.doi.org/10.1007/978-3-531-92517-2.
Full textDavid, Roessner J., ed. Evaluation of government innovation programs. Amsterdam: North-Holland, 1989.
Find full textHord, Shirley M. Evaluating educational innovation. London: Croom Helm, 1987.
Find full text1953-, Williams Scott A., and Phi Delta Kappa. Center on Evaluation, Development, and Research., eds. Restructuring through curriculum innovation. Bloomington, IN: Phi Delta Kappa, Center on Evaluation, Development, and Research, 1993.
Find full textDavid, Roessner J., ed. Government innovation policy: Design, implementation, evaluation. New York: St. Martin's Press in association with the Policy Studies Organization, 1988.
Find full textPalmberg, Christopher. Successful innovation: The determinants of commercialisation and break-even times of innovations. Espoo [Finland]: VTT Technical Research Centre of Finland, 2002.
Find full textHord, Shirley. Evaluating educational innovation. London: Croom Helm, 1987.
Find full text(Project), ARTICULATE. Evaluation guidelines handbook for learning technology innovation. [London?]: [EDRU, Tavistock Institute?], 1995.
Find full textHerbert, Altrichter, and Schratz Michael 1952-, eds. Qualität von Universitäten: Evaluation, Impulse für Innovation? Innsbruck: Österreichischer StudienVerlag, 1992.
Find full text1955-, Georghiou Luke, and Finland (Kauppa ja teollisuusministeriö), eds. Evaluation of the Finnish innovation support system. Finland: Ministry of Trade and Industry, Finland, 2003.
Find full textBook chapters on the topic "Evaluation innovation"
Benson, Tim. "Innovation Evaluation." In Patient-Reported Outcomes and Experience, 177–91. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97071-0_16.
Full textQuek, Chwee Geok. "Curriculum Evaluation." In Education Innovation Series, 223–39. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2697-3_14.
Full textLanger, Andreas, Johannes Eurich, and Simon Güntner. "Innovation, Qualität und Evaluation." In Innovation Sozialer Dienstleistungen, 47–54. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-05122-8_6.
Full textRoom, Graham. "The Evaluation of Innovation." In Cross-National Innovation in Social Policy, 30–53. London: Palgrave Macmillan UK, 1986. http://dx.doi.org/10.1007/978-1-349-18076-9_3.
Full textLanger, Andreas, Johannes Eurich, and Simon Güntner. "Innovation, Quality and Evaluation." In Innovation in Social Services, 41–48. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-05176-1_6.
Full textKahn, Kenneth B., and Mayoor Mohan. "Concept Evaluation." In Innovation and New Product Planning, 103–18. New York, NY: Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9781003025313-8.
Full textZweifel, P. "What Price Pharmaceutical Innovation?" In Socioeconomic Evaluation of Drug Therapy, 46–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61366-1_6.
Full textPolt, Wolfgang. "Evaluation in den Bereichen Forschung, Technologie und Innovation in Deutschland, Österreich und der Schweiz." In Evaluation, 313–18. Wiesbaden: VS Verlag für Sozialwissenschaften, 2009. http://dx.doi.org/10.1007/978-3-531-91468-8_31.
Full textWiesner, Claudia, and Sylvia Bordne. "Lokales Regieren – Innovation und Evaluation." In Lokales Regieren – Innovation und Evaluation, 17–35. Wiesbaden: VS Verlag für Sozialwissenschaften, 2010. http://dx.doi.org/10.1007/978-3-531-92517-2_2.
Full textRichards, Dave. "Value and Evaluation." In The Seven Sins of Innovation, 30–51. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137432537_3.
Full textConference papers on the topic "Evaluation innovation"
Sun, Caiyun, Xiaojiang Yang, and Jianjun Zhai. "Doctoral Innovation Ability and Innovation Performance Evaluation Model." In 2016 International Conference on Communications, Information Management and Network Security. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/cimns-16.2016.39.
Full textJiang, Hai-Jun. "Performance evaluation of innovation network-based cross-regional innovative cooperation." In 2015 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2015. http://dx.doi.org/10.1109/icmlc.2015.7340630.
Full textKráľová, Katarína, Jana Sochuľáková, and Dagmar Petrušová. "EVALUATION OF INNOVATIVE ACTIVITIES OF SMES IN THE SLOVAK REPUBLIC." In 5th International Scientific Conference – EMAN 2021 – Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2021. http://dx.doi.org/10.31410/eman.2021.303.
Full textWanliang, Dai, and Zhang Huiying. "Rethinking of Innovation Value Evaluation Based on Innovation Ethics." In 2010 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2010. http://dx.doi.org/10.1109/iciii.2010.432.
Full textChunxiao, Sun, and Liu Guoyan. "Technological Innovation Diffusion Model and Evaluation on Innovation Efficiency." In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering. IEEE, 2009. http://dx.doi.org/10.1109/iciii.2009.265.
Full textMerzlikina, Galina. "Regional Innovation Sustainability: Evaluation Features." In International Scientific and Practical Conference on Sustainable Development of Regional Infrastructure. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010590603560361.
Full textBusov, Bohuslav, Radek Knoflicek, and Milada Bartlova. "Improvement the evaluation of innovation." In 2014 16th International Conference on Mechatronics - Mechatronika (ME). IEEE, 2014. http://dx.doi.org/10.1109/mechatronika.2014.7018324.
Full textBloch, Erich. "The new face of innovation." In 26th Annual review of progress in quantitative nondestrictive evaluation. AIP, 2000. http://dx.doi.org/10.1063/1.1306029.
Full textJinbang Zhang and Yanping Fu. "Evaluation on innovation ability of innovative city of science and technology." In 2012 First National Conference for Engineering Sciences (FNCES). IEEE, 2012. http://dx.doi.org/10.1109/nces.2012.6543492.
Full textZhang, Jinbang, and Yanping Fu. "Evaluation on Innovation Ability of Innovative City of Science and Technology." In 2013 Conference on Education Technology and Management Science. Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/icetms.2013.305.
Full textReports on the topic "Evaluation innovation"
Bießlich, Susan, Sebastian von Engelhardt, Peter Kaufmann, Christiane Kerlen, Sonja Kind, Jakob Kofler, Anja Marcher, et al. Evaluation des nationalen Programms für Weltraum und Innovation. Iit – Institut für Innovation und Technik VDI/VDE-IT, March 2021. http://dx.doi.org/10.22163/fteval.2021.580.
Full textSparn, Bethany F., Stephen M. Frank, Lieko Earle, and Jennifer G. Scheib. Innovation Incubator: Whisker Labs Technical Evaluation. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1374964.
Full textHyvärinen, Jari. New Evaluation Framework in Finnish Innovation Policy. Fteval - Platform for Research and Technology Policy Evaluation, May 2019. http://dx.doi.org/10.22163/fteval.2019.327.
Full textKohlweg, Karin. Evaluation Standards for Research, Technology and Innovation Policy. Fteval - Platform for Research and Technology Policy Evaluation, March 2019. http://dx.doi.org/10.22163/fteval.2019.344.
Full textEdler, Jakob, Paul Cunningham, Abdullah Gök, John Rigby, Effie Amanatidou, Ioanna Garefi, Susanne Bührer, Stephanie Daimer, Michael Dinges, and Martin Berger. INNO-Appraisal. Understanding Evaluation of Innovation Policy in Europe. Pro Inno Europe - Inno-Appraisal, February 2010. http://dx.doi.org/10.22163/fteval.2010.141.
Full textSeus, Sarah, and Maria Stadler. Evaluating a CIty Lab Process in Mannheim's distric Neckarstadt-West: Three main challenges for the evaluation. Fteval - Austrian Platform for Research and Technology Policy Evaluation, April 2022. http://dx.doi.org/10.22163/fteval.2022.550.
Full textAltufeva, Natalya. EVALUATION OF THE DEVELOPMENT OF SMALL RESEARCH AND INNOVATION ENTERPRISES. Samara State Economic University, 2019. http://dx.doi.org/10.12731/id37285805.
Full textJack, Misia, John Currie, Julio Bros Williamson, Jon Stinson, Bill Banks, and Julie Watson. Housing Innovation Showcase 2012: Building Performance Evaluation, Phase 1-Part 1. Kingdom Housing Association, November 2013. http://dx.doi.org/10.14297/enr.2013.000001.
Full textMohon, Jeremy, Jeffrey Joe, Casey Kovesdi, and Chloe Pedersen. Usability Evaluation of the Innovation Portal and Integrated Capability Analysis Platform. Office of Scientific and Technical Information (OSTI), June 2021. http://dx.doi.org/10.2172/1822922.
Full textSalazar, Lina, Alessandro Maffioli, and Julián Aramburu. PATCA Dominican Republic: Support Impact Evaluation of the Agricultural Innovation Supports Program. Inter-American Development Bank, July 2017. http://dx.doi.org/10.18235/0000773.
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