Special Issue on Innovation in Content Analysis Methods and Techniques in Business and Management, Health, Education, the Social and Behavioural Sciences

24 Jul 2023

Content analysis methods are widely used in business and management, health, education and other social and behavioural sciences research areas. These methods are employed to gain insights and understand phenomena' nature, structure, function or behaviour. They provide a systematic and structured approach to analysing textual data and media, enabling researchers to uncover valuable insights and make informed decisions in various business practice and strategy areas.

Content analysis methods examine conceptual and relational aspects of a phenomenon being analysed. Conceptual analysis determines the prevalence and frequency of concepts, ideas, objects, or utterances in different forms of media, while relational analysis builds on conceptual analysis by examining the relationships and patterns among concepts, ideas, or knowledge objects.

This special issue invites research that can advance content analysis methods and techniques in Business and Management, Health, Education and the Social and Behavioural Sciences. Submissions should contribute to the theoretical and empirical understanding and application of content analysis methods in business, management, behavioural, and social sciences. Some examples of content analysis methods and techniques include:

  • Quantitative Content Analysis
  • Qualitative Content Analysis
  • Manifest Content Analysis
  • Latent Content Analysis
  • Innovative methods
  • Sample size and sampling procedures issues
  • Data analysis issues, e.g. level of coding granularity
  • Automated Tools and Techniques for Content Analysis
  • Natural language processing (NLP)
  • Cloud-based analytics
  • Concept mapping
  • Thematic Analysis
  • Narrative Analysis
  • Discourse Analysis
  • Semantics Analysis
  • Pragmatics Analysis
  • Syntax Analysis
  • Grammar Analysis
  • Visualisation tools and dashboards
  • Comparative Content Analysis
  • Sentiment Analysis
  • Latent Semantic Analysis
  • Sociograms and Network Analysis
  • Media Content Analysis
  • Visual Content Analysis
  • Systematic and critical reviews of content analysis methods and techniques

Guest editors

Dr Qian Liu, University of Otago, New Zealand

Dr Sarah Carr, University of Otago, New Zealand

This call for papers is open until 30 November 2023