Monday, 20 April 2026

A note on qualitative content analysis for MBA students

A note on qualitative content analysis for MBA students


Highlight 3 main ideas on each of the following two topics: (1) the data gathering task of qualitative content analysis and (2) the data analysis task of qualitative content analysis in the context of MBA dissertation projects. Also clarify your ideas a bit more with reference to the following theme: to evaluate the innovation capability of ABC Insurance company in Hong Kong.

Qualitative content analysis supports MBA dissertations by systematically examining textual data to uncover patterns, making it ideal for evaluating corporate innovation like ABC Insurance's strategies in Hong Kong. For assessing ABC Insurance's innovation capability, this method draws from company reports, interviews, and public documents to reveal evidence of novel practices.

Data Gathering

·        Select relevant sources: Identify texts like company annual reports, press releases, executive interviews, and policy documents that reflect innovation efforts, such as ABC Insurance's reinsurance strategies or tech adoptions in Hong Kong.

·        Systematic collection: Download or transcribe materials into organized formats (e.g., PDFs, transcripts), ensuring comprehensive coverage from multiple years to track ABC's evolving capabilities.

·        Ethical preparation: Anonymize sensitive data and verify authenticity, focusing on public sources for ABC's innovations to maintain dissertation rigor.

Data Analysis

·        Develop coding frame: Create categories based on innovation indicators (e.g., new products, digital tools), applying them deductively to ABC documents to code mentions of reinsurance or risk tech.

·        Identify themes and patterns: Group codes into themes like "tech integration" or "market adaptation," analyzing frequency in ABC reports to gauge innovation strength.

·        Interpret and validate: Link findings to theory, cross-checking for reliability to conclude on ABC's innovation, such as in catastrophe risk management.

 

References

Hsieh, H.-F. and Shannon, S.E. (2005) 'Three approaches to qualitative content analysis', Qualitative Health Research, 15(9), pp. 1277–1288. 

Krippendorff, K. (2018) Content analysis: An introduction to its methodology. 4th edn. Thousand Oaks, CA: Sage Publications. 

Schreier, M. (2012) Qualitative content analysis in practice. Thousand Oaks, CA: Sage Publications.

 



A collection of blog notes on using chatgpt for research purpose.

No comments:

Post a Comment