Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Arash, Hajikhani"'
Autor:
Arash Hajikhani, Carolyn Cole
Publikováno v:
Quantitative Science Studies, Vol 5, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/d350bb91471c40bdad1f52f6ac786002
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:
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
Autor:
Arash, Hajikhani1 arash.hajikhani@vtt.fi, Samira, Ranaei2 samira.ranaei@nokia.com, Arho, Suominen1 arho.suominen@vtt.fi
Publikováno v:
Proceedings of ISPIM Conferences. 2020, p1-12. 12p.
Publikováno v:
Mortazavi, S, Eslami, M H, Hajikhani, A & Väätänen, J 2021, ' Mapping inclusive innovation : A bibliometric study and literature review ', Journal of Business Research, vol. 122, pp. 736-750 . https://doi.org/10.1016/j.jbusres.2020.07.030
Inclusive innovation is a type of innovation that targets not only affordability but also localization of underdeveloped countries, with the aim of reducing poverty. Despite the increasing attention paid to inclusive innovation, there is no common un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b406258517b8cf0e4bba4cb8b2af5cde
https://cris.vtt.fi/en/publications/29fb0f3a-a6ca-4ad8-a6e6-1c400c630abe
https://cris.vtt.fi/en/publications/29fb0f3a-a6ca-4ad8-a6e6-1c400c630abe
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
Publikováno v:
Hajikhani, A 2020, ' Impact of Entrepreneurial Ecosystem Discussions in Smart Cities : Comprehensive Assessment of Social Media Data ', Smart cities, vol. 3, no. 1, pp. 112-137 . https://doi.org/10.3390/smartcities3010007
Smart Cities
Volume 3
Issue 1
Pages 7-137
Smart Cities
Volume 3
Issue 1
Pages 7-137
Discussions on &ldquo
smart cities&rdquo
are gaining in popularity in the past two decades and has shown potential in tackling the cities&rsquo
environmental, social, and economic challenges. Smart cities are known as a system of physi
smart cities&rdquo
are gaining in popularity in the past two decades and has shown potential in tackling the cities&rsquo
environmental, social, and economic challenges. Smart cities are known as a system of physi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53da8cbf1f684fa2b3ecc495d3e52a6d
https://doi.org/10.3390/smartcities3010007
https://doi.org/10.3390/smartcities3010007
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