skip to main content
Guest
My Research
My Account
Sign out
Sign in
This feature requires javascript
Library Search
Find Databases
Browse Search
E-Journals A-Z
E-Books A-Z
Citation Linker
Help
Language:
English
Vietnamese
This feature required javascript
This feature requires javascript
Primo Search
All Library Resources
All
Course Materials
Course Materials
Search For:
Clear Search Box
Search in:
All Library Resources
Or hit Enter to replace search target
Or select another collection:
Search in:
All Library Resources
Search in:
Print Resources
Search in:
Digital Resources
Search in:
Online E-Resources
Advanced Search
Browse Search
This feature requires javascript
Search Limited to:
Search Limited to:
Resource type
criteria input
All items
Books
Articles
Images
Audio Visual
Maps
Graduate theses
Show Results with:
criteria input
that contain my query words
with my exact phrase
starts with
Show Results with:
Search type Index
criteria input
anywhere in the record
in the title
as author/creator
in subject
Full Text
ISBN
ISSN
TOC
Keyword
Field
Show Results with:
in the title
Show Results with:
anywhere in the record
in the title
as author/creator
in subject
Full Text
ISBN
ISSN
TOC
Keyword
Field
This feature requires javascript
Artificial Intelligence and Firm Performance in Norway : "Which Norwegian firms are adopting Artificial Intelligence, and how does the adoption of AI affect firm performance?"
info:eu-repo/semantics/openAccess
Digital Resources/Online E-Resources
Citations
Cited by
View Online
Details
Recommendations
Reviews
Times Cited
External Links
This feature requires javascript
Actions
Add to My Research
Remove from My Research
E-mail
Print
Permalink
Citation
EasyBib
EndNote
RefWorks
Delicious
Export RIS
Export BibTeX
This feature requires javascript
Title:
Artificial Intelligence and Firm Performance in Norway : "Which Norwegian firms are adopting Artificial Intelligence, and how does the adoption of AI affect firm performance?"
Author:
Storkås, Eirik
;
Einarsen, Simon Aa
Subjects:
financial economics
;
strategy and management
Description:
This thesis investigates firms’ adoption of artificial intelligence technology and its effects on firm performance. Due to the rapid technological advances of artificial intelligence, this field of research is still largely unexplored, especially in Norway. The research question guiding this study is: "Which Norwegian firms are adopting AI, and how does this adoption affect firm performance?" To estimate and analyze the adoption of AI, we employ web scraping-based methodology and conduct textual analysis of company websites. This approach taps into an underutilized source of information for research purposes. However, it is important to note potential concerns related to endogeneity due to the limitations of our cross-sectional data. Based on our analysis of approximately 53,000 Norwegian companies, we find that several factors influence the likelihood of having adopted AI. Generally, companies located in urban areas, startups, those with more employees, and those with male CEOs are more likely to have a positive AI Know-how score. However, we also identify nuanced variations. Specifically, the number of employees positively affects the AI score in the computer programming industry but does not exhibit the same relationship in the advertising or transportation sectors. This suggests that the number of employees positively relates to AI adoption in industries where value is driven by employee capabilities and complementary resources. Furthermore, within our sample, we observe that 2.7% of Norwegian firms utilize AI technology. Notably, the "Telecom, IT, and Media" industry group exhibits the highest proportion of positive AI Know-how scores, with 11.87%. We find that firms adopting AI experience a lower return on their assets, a lower operating margin, and lower sales per employee than their non-adopting counterparts, indicating that today’s Norwegian firms' AI capabilities do not lead to higher performance. However, we see increased sales growth in AI adopters, indicating a focus on future growth for these firms. These findings contribute to the growing literature on AI adoption and offer insights into the Norwegian context. Additionally, our thesis can serve as a valuable starting point for future research employing similar methodologies.
Creation Date:
2023
Language:
English
Source:
NORA Norwegian Open Research Archives
This feature requires javascript
This feature requires javascript
Back to results list
This feature requires javascript
This feature requires javascript
Searching Remote Databases, Please Wait
Searching for
in
scope:(TDTS),scope:(SFX),scope:(TDT),scope:(SEN),primo_central_multiple_fe
Show me what you have so far
This feature requires javascript
This feature requires javascript