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Studying social media communities : blending methods with netnography / Alex Fenton, Chris Procter.

SAGE Research Methods Cases Part II Available online

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Format:
Book
Author/Creator:
Fenton, Alex, author.
Procter, Chris, author.
Series:
SAGE Research Methods. Cases.
SAGE Research Methods. Cases
Language:
English
Subjects (All):
Soccer teams--Great Britain--Research.
Soccer teams.
Soccer fans--Great Britain--Research.
Soccer fans.
Electronic villages (Computer networks)--Great Britain--Research.
Electronic villages (Computer networks).
Ethnology--Computer network resources.
Ethnology.
Ethnology--Research--Computer network resources.
Physical Description:
1 online resource : illustrations.
Place of Publication:
London : SAGE Publications Ltd, 2019.
Summary:
In his work "Netnography Redefined," Kozinets, highlights the massive growth of online communities, calling for new ways of conducting research online. This case explains an application of this approach providing a valuable methodological framework for contemporary Internet-based ethnographic research. This case example is derived from an empirical research study of the online communities of a UK football club. This involves the blend of the three qualitative research methods: interview, social network analysis (SNA), and online participant observation. Interviews and participant observation are usual features of ethnographic work but evolving digital tools and social media networks present new research opportunities. The application of netnography and blending of social network analysis therefore presents new opportunities for research. In this case, we describe the tools, techniques, and practicalities of applying netnography using blended methods in the digital age. This approach provides a complementary blend for those researchers wishing to study contemporary social media communities. The research approach makes an academic and practical contribution to digital marketing, Information Systems (IS) and sport business.
Notes:
Includes bibliographical references and index.
Description based on XML content.
ISBN:
1-5264-6890-5
9781526468901
OCLC:
1084521493

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