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A Review of Case Study Approaches and Techniques in Studies on Big Data in Online Markets
Jönköping University, Jönköping International Business School, JIBS, Informatics.
2017 (English)In: 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE), IEEE, 2017, p. 293-300, article id 8119166Conference paper, Published paper (Refereed)
Abstract [en]

For online business markets with a large customer base, the use of market-platforms is leading to a rapid generation of a huge amount of data. Such businesses face challenges to satisfy their users. A quantitative research approach has been used to examine big data in online markets, but there is also a need for qualitative research in this area, so as to understand the relationship between big data, online markets. The present research presents an analysis of the various case study approaches that are employed by researchers in this area. We also analyze trends in case study techniques in this area. The research problem is taken on as a research case for the present study. The results of the study should contribute the implementation of big-data in online markets research.

Place, publisher, year, edition, pages
IEEE, 2017. p. 293-300, article id 8119166
Keywords [en]
Big Data, Google, Standards, Interviews, Market research, Informatics, Case study, Online markets
National Category
Business Administration Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hj:diva-38166DOI: 10.1109/ICEBE.2017.54ISI: 000426981100044Scopus ID: 2-s2.0-85041641250ISBN: 978-1-5386-1412-9 (electronic)ISBN: 978-1-5386-1413-6 (print)OAI: oai:DiVA.org:hj-38166DiVA, id: diva2:1165784
Conference
2017 IEEE 14th International Conference on e-Business Engineering (ICEBE), 4-6 Nov. 2017, Shanghai, China
Available from: 2017-12-13 Created: 2017-12-13 Last updated: 2018-07-17Bibliographically approved

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