Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Arho, Suominen"'
Autor:
Arho Suominen, Matti Pihlajamaa
Publikováno v:
Data in Brief, Vol 43, Iss , Pp 108324- (2022)
The data set contains data collected using a paper format and an online survey. The data includes a sample of 120 Finnish companies. The survey, structured into six sections focuses on the firms’ growth outlooks and the underlying management practi
Externí odkaz:
https://doaj.org/article/9c8db9cfc2f146209905ace158c5acae
Autor:
Sajad Ashouri, Arho Suominen, Arash Hajikhani, Lukas Pukelis, Torben Schubert, Serdar Türkeli, Cees Van Beers, Scott Cunningham
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108246- (2022)
This article presents data on companies' innovative behavior measured at the firm-level based on web scraped firm-level data derived from medium-high and high-technology companies in the European Union and the United Kingdom. The data are retrieved f
Externí odkaz:
https://doaj.org/article/05dc4f1fc272497cb455212c56f693a6
Autor:
Arash Hajikhani, Lukas Pukelis, Arho Suominen, Sajad Ashouri, Torben Schubert, Ad Notten, Scott W. Cunningham
Publikováno v:
MethodsX, Vol 9, Iss , Pp 101650- (2022)
This paper demonstrates a method to transform and link textual information scraped from companies' websites to the scientific body of knowledge. The method illustrates the benefit of Natural Language Processing (NLP) in creating links between establi
Externí odkaz:
https://doaj.org/article/55e6bf6c89c9441592a31278b74e9751
Autor:
Arash Hajikhani, Arho Suominen
Publikováno v:
Data in Brief, Vol 34, Iss , Pp 106764- (2021)
Scientific discoveries are the result of global collaboration and often the multidisciplinary nature of collaborations. A core element of these successful collaborations will materialise through a researcher's mobility in location and disciplinary fo
Externí odkaz:
https://doaj.org/article/919bd155ed5e49d19d0d35eb27375d8d
Autor:
Heidi M. E. Korhonen, Kaisa Still, Marko Seppänen, Miika Kumpulainen, Arho Suominen, Katri Valkokari
Publikováno v:
Technology Innovation Management Review, Vol 7, Iss 9, Pp 17-29 (2017)
The platform economy is disrupting innovation while presenting both opportunities and challenges for startups. Platforms support value creation between multiple participant groups, and this operationalization of an ecosystem’s value co-creation rep
Externí odkaz:
https://doaj.org/article/eca2b414a9644c86976a1c859ea6c78c
Publikováno v:
Suominen, A, Deschryvere, M & Narayan, R 2023, ' Uncovering value through exploration of barriers : A perspective on intellectual property rights in a national innovation system ', Technovation, vol. 123, 102719 . https://doi.org/10.1016/j.technovation.2023.102719
Although for a long time policy has emphasized the role of intellectual property rights as a growth agent facilitating innovation, the literature has called into question this relationship. Critical studies have focused on studying policy frames and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::573680358d49079b01ba4f07258d3d97
https://cris.vtt.fi/en/publications/4b033bdb-e741-4e15-90bf-3ad53509b740
https://cris.vtt.fi/en/publications/4b033bdb-e741-4e15-90bf-3ad53509b740
Autor:
Torben Schubert, Sajad Ashouri, Matthias Deschryvere, Angela Jäger, Fabiana Visentin, Cunningham, Scott W., Arash Hajikhani, Lukas Pukelis, Arho Suominen
Publikováno v:
VTT Technical Research Centre of Finland-PURE
Digitalization is considered an important driver of the unravelling societal and economic transformations. However, holding both promises and challenges, its effects on the performance of individual firms are still underexplored. In this paper, we re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4799b24cc27201f4182fc6cf305c9912
Publikováno v:
Suominen, A, Hajikhani, A, Ahola, A, Kurogi, Y & Urashima, K 2022, ' A quantitative and qualitative approach on the evaluation of technological pathways: A comparative national-scale Delphi study ', Futures, vol. 140, 102967 . https://doi.org/10.1016/j.futures.2022.102967
The Delphi approach is a central method in technological forecasting. It has been used in thousands of scholarly works and extensively outside academia, often in relatively narrowly scoped case studies. With the notable exception of Japan and a few o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58dbb1938a3d3f8f211ba6814eebad70
https://trepo.tuni.fi/handle/10024/141568
https://trepo.tuni.fi/handle/10024/141568
Autor:
Arash Hajikhani, Arho Suominen
Publikováno v:
Hajikhani, A & Suominen, A 2022, ' Mapping the sustainable development goals (SDGs) in science, technology and innovation : application of machine learning in SDG-oriented artefact detection ', Scientometrics, vol. 127, no. 11, pp. 6661-6693 . https://doi.org/10.1007/s11192-022-04358-x
The sustainable development goals (SDGs) are a blueprint for achieving a better and more sustainable future for all by defining priorities and aspirations for 2030. This paper attempts to expand on the United Nations SDGs definition by leveraging the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38ef0f07e75dde2d80002e4ef7552ef1
https://trepo.tuni.fi/handle/10024/139262
https://trepo.tuni.fi/handle/10024/139262