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How Many Likes are Good Enough? An Evaluation of Social Media Performance: An Abstract
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering. Red & Yellow Creative School of Business, Cape Town, South Africa.ORCID iD: 0000-0001-9575-6676
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering. Red & Yellow Creative School of Business, Cape Town, South Africa.ORCID iD: 0000-0002-3486-8292
2020 (English)In: Marketing Opportunities and Challenges in a Changing Global Marketplace: Proceedings of the 2019 Academy of Marketing Science (AMS) Annual Conference / [ed] Shuang Wu, Felipe Pantoja, Nina Krey, Springer Nature, 2020, p. 161-162Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
Springer Nature, 2020. p. 161-162
Series
Developments in Marketing Science: Proceedings of the Academy of Marketing Science, ISSN 2363-6165, E-ISSN 2363-6173
Keywords [en]
Social media, Expectation confirmation theory, User-generated content, Perceived performance
National Category
Business Administration
Research subject
Industrial Marketing
Identifiers
URN: urn:nbn:se:ltu:diva-77390DOI: 10.1007/978-3-030-39165-2_71Scopus ID: 2-s2.0-85125237189OAI: oai:DiVA.org:ltu-77390DiVA, id: diva2:1385331
Conference
22nd Academy of Marketing Science Annual Conference, 29-31 May, 2019, Vancouver, Canada
Note

ISBN för värdpublikation: 978-3-030-39164-5, 978-3-030-39165-2

Available from: 2020-01-14 Created: 2020-01-14 Last updated: 2025-10-22Bibliographically approved

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Ferreira, Caitlin C.Robertson, Jeandri

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