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Swedish Digital Marketers Utilization of AI Tools: A Qualitative Study on how AI Tools are Used and What the Limitations are for Swedish Digital Marketers.
Jönköping University, Tekniska Högskolan, JTH, Avdelningen för datateknik och informatik.
Jönköping University, Tekniska Högskolan, JTH, Avdelningen för datateknik och informatik.
2024 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
Abstract [en]

This study examined how Swedish digital marketers use AI and its impact on their workflow, as well as the limitations of adopting AI for digital marketing. Semi-structured interviews were performed with Swedish digital marketing professionals, and a thematic analysis was conducted to identify themes and patterns that appeared in the data collection. 

The software used by participants varied, but all seven utilized ChatGPT. Five used Google Ads and Google Analytics, three used Adobe software (including Adobe Firefly and Photoshop), and two used Midjourney. Other software was also used independently by participants.

The findings indicate that AI has enhanced perceived productivity and proved valuable to marketers. Those who employed AI technology reported more effective work sessions and shorter work completion times. However, the study also identified significant limitations of AI in digital marketing. These limitations include AI's inability to match human creativity, which limits the development of creative brand storylines, campaign designs, and content production. Additionally, issues with the tone and accuracy of generative AI content highlight the need to maintain authenticity and reliability in marketing communications. Marketers expressed concerns about the accuracy and quality of AI-generated information and sought clearer guidelines and regulations regarding the use of AI tools.

sted, utgiver, år, opplag, sider
2024. , s. 71
Emneord [en]
Digital Marketing, Artificial intelligence (AI), AI Tools
Emneord [sv]
Digital Marknadsföring, Artificiell Intelligens (AI), AI verktyg
HSV kategori
Identifikatorer
URN: urn:nbn:se:hj:diva-64718OAI: oai:DiVA.org:hj-64718DiVA, id: diva2:1866432
Fag / kurs
JTH, Informatics
Veileder
Examiner
Tilgjengelig fra: 2024-06-10 Laget: 2024-06-07 Sist oppdatert: 2025-10-13bibliografisk kontrollert

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