lnu.sePublications
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
The emerging “we” tribe of human-robot partners in consumption spaces
Linnaeus University, School of Business and Economics, Department of Marketing. (DISA;DISA-IDP)ORCID iD: 0000-0003-2248-0802
2022 (English)In: Presented at the AIRSI2022 Conference: Technologies 4.0 in Tourism, Services & Marketing, Zaragoza, Spain, July 11-13, 2022, Zaragoza, Spain, 2022, Zaragoza, Spain, 2022Conference paper, Published paper (Refereed)
Sustainable development
SDG 12: Ensure sustainable consumption and production patterns
Abstract [en]

Several sectors have embraced service robots to support the tribal need to congregate intra-pandemic. This research identifies the growing "we" tribe of human-robot partners in consuming situations due to the Covid-19 pandemic. Through a series of in-depth interviews with robotic service providers as well as consumers, we unpack major reflections on the cobotic teams. Surprisingly, while the Covid-19 era encouraged social isolation, it also fostered new connections between human and nonhuman communities to keep us connected. Following the development of the major features of human-robot tribes, we conclude with recommendations to reevaluate the marketing mix framework that would account for the new customer journey to better speak to the relevant marketing theory.

Place, publisher, year, edition, pages
Zaragoza, Spain, 2022.
Keywords [en]
human-robot teams, service robots, cobotic tribe
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:lnu:diva-115061OAI: oai:DiVA.org:lnu-115061DiVA, id: diva2:1679330
Conference
AIRSI2022 Conference: Technologies 4.0 in Tourism, Services & Marketing, Zaragoza, Spain, July 11-13, 2022
Available from: 2022-06-30 Created: 2022-06-30 Last updated: 2023-09-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Ozturkcan, Selcen

Search in DiVA

By author/editor
Merdin Uygur, EzgiOzturkcan, Selcen
By organisation
Department of Marketing
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 50 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