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Interview Data on Challenges in big data-based communication amid C19
Ripley Johnson, Elizabeth
Linnaeus University, School of Business and Economics, Department of Marketing.
Castaño Martínez, María
Linnaeus University, School of Business and Economics, Department of Marketing.
Ozturkcan, Selcen
Linnaeus University, School of Business and Economics, Department of Marketing.
ORCID iD:
0000-0003-2248-0802
Responsible organisation
Linnaeus University, School of Business and Economics, Department of Marketing
2022 (English)
Data set, Primary data
Sustainable development
SDG 3: Ensure healthy lives and promote well-being for all at all ages
Physical description [en]
Transcriptions of Interview Data that follows the Semi-Structured Interview Guide. PDF files.
Place, publisher, year
2022.
Version
1.0
Keywords [en]
COVID-19, pandemic, infodemic, big data, healthcare communications, public health
National Category
Computer and Information Sciences Business Administration
Research subject
Economy, Business administration
Identifiers
URN:
urn:nbn:se:lnu:diva-110784
DOI:
10.5281/zenodo.6344804
OAI: oai:DiVA.org:lnu-110784
DiVA, id:
diva2:1643776
Available from:
2022-03-10
Created:
2022-03-10
Last updated:
2025-02-18
Bibliographically approved
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Ozturkcan, Selcen
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Ozturkcan, Selcen
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Department of Marketing
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Business Administration
The data set is referenced by
Ripley Johnson, E., Castaño Martínez, M. & Ozturkcan, S. (2022). Complications in big data-based communication in the wake of COVID-19: A comparison of North American and Nordic practices of multinational healthcare corporations. In: International Engineering and Technology Management Summit 2022: Proceedings Book. Paper presented at International Engineering and Technology Management Summit 2022, Istanbul, Turkey, October 20-21, 2022 (pp. 93-99). Istanbul, Turkey: Istanbul Technical University
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modern-language-association-8th-edition
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