Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Overcoming the barriers to AI implementations: A bachelor’s thesis in Service Management and Marketing
Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).
Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).
2023 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

As technology continues to develop and form tools capable of helping people andorganisations become more efficient, there is a need for organisations to stay up-to-dateon the various tools and trends to stay relevant on the market and not fall behind. Artificialintelligence (AI) is one of those tools that is emerging on the market and challengingorganisations to implement the technology to stay relevant. However, not allorganisations know how to properly implement AI in their organisation, resulting in alarge array of barriers that hold organisations back from technological implementation.After studying the research papers out there, a research gap was discovered on how toovercome the barriers from an organisational perspective. Throughout the thesis, it wasdetermined that one common misconception is that AI is a solution that will solve anorganisation's many flaws, whereas in fact AI is a tool used to make work more efficientfor the organisation. As a result, it was determined that competence is the most importantaspect in overcoming the barriers to AI implementation.

Place, publisher, year, edition, pages
2023. , p. 53
Keywords [en]
Artificial Intelligence, Barriers to innovation, Technology Adoption, AI implementation, AI
National Category
Business Administration
Identifiers
URN: urn:nbn:se:kau:diva-95418OAI: oai:DiVA.org:kau-95418DiVA, id: diva2:1769727
Subject / course
Business Administration
Educational program
Business Administration and Economics, 180 hp
Supervisors
Examiners
Available from: 2023-06-19 Created: 2023-06-18 Last updated: 2023-06-19Bibliographically approved

Open Access in DiVA

Overcoming the barriers to AI implementations(874 kB)101 downloads
File information
File name FULLTEXT01.pdfFile size 874 kBChecksum SHA-512
0afcfa25d477073ac4525836a29793a492979565e5875ffeb2bbe3924b460b0a7dde1035542f1eab2c0417485358ac92f807e8e99cb1111fec0f5f76dfbfbcb5
Type fulltextMimetype application/pdf

By organisation
Karlstad Business School (from 2013)
Business Administration

Search outside of DiVA

GoogleGoogle Scholar
Total: 101 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 221 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf