Big data and analytical induction : an exploratory mixed-methods example / Pavel Bogolyubov.

Format:

Book

Author/Creator:

Bogolyubov, Pavel, author.

Series:

SAGE Research Methods. Cases.

SAGE Research Methods. Cases

Language:

English

Subjects (All):

Social media--Case studies.

Social media.

Culture--Case studies.

Culture.

Qualitative research--Case studies.

Qualitative research.

Physical Description:

1 online resource : illustrations.

Place of Publication:

London : SAGE Publications Ltd, 2019.

Summary:

The case describes a piece of research dedicated to understanding the impact of national culture on the internal use of social media in organizations, that is, for knowledge management purposes. The methodological challenge here was to provide generalizable (thus, large sample), yet detailed enough (calling for a qualitative approach instead) explanations of the three components in the research question: social media, national culture, and user adoption. In order to do so, the research was designed in a two-stage fashion, known as explanatory mixed method? approach. At the first stage, large datasets reflecting user statistics for a number of the Worlds most popular social media websites were analyzed for correlations with so-called Hofsted??s Cultural Dimension?a set of scores describing prevalent behavior trends in each country. Although some correlations were found, the findings from this stage lacked explanatory detail (they could indicate which way the correlation went, but not explain why), and some were fairly weak. In order to address these issues, the second, qualitative, stage, was carried out using the method called Analytical Induction. Based on the first stag??s findings and the literature, a set of tentative explanatory hypotheses were formulated. They were then tested and gradually refined by comparing them against the evidence from semi-structured interviews. The overall results (a) show that there is a link between the national culture and the way social media is implemented and used for knowledge management purposes in organizations and (b) provide an explanation for this link.

Notes:

Includes bibliographical references and index.

Description based on XML content.

ISBN:

1-5264-6732-1

9781526467324

OCLC:

1084537297