https://www.mdu.se/

mdu.sePublications
Planned maintenance
A system upgrade is planned for 10/12-2024, at 12:00-13:00. During this time DiVA will be unavailable.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Marketing AI in B2B relationships from an attentional perspective: A qualitative multiple case study on marketing managers from manufacturing and IT industries
Mälardalen University, School of Business, Society and Engineering.
Mälardalen University, School of Business, Society and Engineering.
2022 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Purpose: To explore the influence of marketing AI on marketing managers' attention allocation to leverage customer relationships in different business-to-business contexts.

Method: Abductive approach and multiple case study, data collection was made by qualitative semi-structured interviews and secondary data collection.

Conclusion: The study identified both similarities and differences within three main categories across two industrial clusters where marketing AI effect marketing managers’ attention allocation in B2B relationships. Marketing AI is shown to affect B2B relationships through marketing managers’ attentional selection towards efficiencies and/or new opportunities. Marketing AI is shown to influence marketing managers’ attention allocation by distorting the focus of attention on relational dynamics by introducing automated or augmented marketing AI solutions into the relationship.

Place, publisher, year, edition, pages
2022. , p. 68
Keywords [en]
Marketing AI, Digitalization, B2B Relationships, Attention-Based View, Abduction, Cross-case analysis
National Category
Business Administration
Identifiers
URN: urn:nbn:se:mdh:diva-58380OAI: oai:DiVA.org:mdh-58380DiVA, id: diva2:1663084
Subject / course
Business Administration
Supervisors
Examiners
Available from: 2022-06-13 Created: 2022-06-01 Last updated: 2022-06-13Bibliographically approved

Open Access in DiVA

Marketing AI in B2B relationships from an attentional perspective(1173 kB)869 downloads
File information
File name FULLTEXT01.pdfFile size 1173 kBChecksum SHA-512
70ef5117bb477a34ff55e1d7250222a2796393b0069670645d37331fc8ad68371d0fa1d585e5c60c961cd6552b0d76461c4134364c4e8d810ab64f3f6359ff89
Type fulltextMimetype application/pdf

By organisation
School of Business, Society and Engineering
Business Administration

Search outside of DiVA

GoogleGoogle Scholar
Total: 869 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: 1197 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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