Arash Hajikhani
Biographic Data
| ID | 5773772 |
|---|---|
| NAME | Arash Hajikhani |
| GIVEN NAMES | Arash |
| FAMILY NAME | Hajikhani |
| SIGNATURE | HAJIKHANI A |
| AFFILIATIONS | VTT Technical Research Centre of Finland |
| ORCID | 0000-0003-2032-9180 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Measuring digitalization at scale using web scraped data
Measuring digitalization has been a central topic in academic discourse. While evaluating firms' efforts in increasing digitalization is crucial, quantifying it at scale, presents considerable challenges. This paper uses website information as a source of data to operationalize a measure of digitalization. Drawing on a sample of 60,942 firms, our approach proposes two distinct measures of digitalization: one at the product level and the other at …
A critical review of large language models
This paper examines the comparative effectiveness of a specialized compiled language model and a general-purpose model such as OpenAI’s GPT-3.5 in detecting sustainable development goals (SDGs) within text data. It presents a critical review of large language models (LLMs), addressing challenges related to bias and sensitivity. The necessity of specialized training for precise, unbiased analysis is underlined. A case study using a company descrip…
Mapping the sustainable development goals (SDGs) in science, technology and innovation
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 interrelationship between science and technology. We utilize SDG classification of scientific publications to compile a machine learning (ML) model to classify the SDG relevancy in patent documents, …
A quantitative and qualitative approach on the evaluation of technological pathways
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 other countries, broad Delphi studies run in the context of national-level policy planning are seldom seen. This study presents results on implementing the long-running Japanese Science and Technology …
Research themes in big data analytics for policymaking
The use of big data and data analytics are slowly emerging in public policy-making, and there are calls for systematic reviews and research agendas focusing on the impacts that big data and analytics have on policy processes. This paper examines the nascent field of big data and data analytics in public policy by reviewing the literature with bibliometric and qualitative analyses. The study encompassed scientific publications gathered from SCOPUS…
No prominent works on this page.
Research themes in big data analytics for policymaking
The use of big data and data analytics are slowly emerging in public policy-making, and there are calls for systematic reviews and research agendas focusing on the impacts that big data and analytics have on policy processes. This paper examines the nascent field of big data and data analytics in public policy by reviewing the literature with bibliometric and qualitative analyses. The study encompassed scientific publications gathered from SCOPUS…
Mapping the sustainable development goals (SDGs) in science, technology and innovation
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 interrelationship between science and technology. We utilize SDG classification of scientific publications to compile a machine learning (ML) model to classify the SDG relevancy in patent documents, …
A quantitative and qualitative approach on the evaluation of technological pathways
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 other countries, broad Delphi studies run in the context of national-level policy planning are seldom seen. This study presents results on implementing the long-running Japanese Science and Technology …
Measuring digitalization at scale using web scraped data
Measuring digitalization has been a central topic in academic discourse. While evaluating firms' efforts in increasing digitalization is crucial, quantifying it at scale, presents considerable challenges. This paper uses website information as a source of data to operationalize a measure of digitalization. Drawing on a sample of 60,942 firms, our approach proposes two distinct measures of digitalization: one at the product level and the other at …
A critical review of large language models
This paper examines the comparative effectiveness of a specialized compiled language model and a general-purpose model such as OpenAI’s GPT-3.5 in detecting sustainable development goals (SDGs) within text data. It presents a critical review of large language models (LLMs), addressing challenges related to bias and sensitivity. The necessity of specialized training for precise, unbiased analysis is underlined. A case study using a company descrip…
Computer Science (5 works) · Political science (4 works) · Data science (3 works) · Engineering (3 works) · Artificial Intelligence (2 works) · Business (2 works) · Geography (2 works) · Innovation Policy and RD (2 works) · Knowledge management (2 works) · Management science (2 works)