On understanding company perceptions of risk – a text mining application

Jim Freeman, Zhuopeng Jiang, Alex Karagrigoriou (Editor), Teresa Oliveira (Editor), Christos H Skiadas (Editor)

Research output: Chapter in Book/Report/Conference proceedingChapter


Two methodologies – thematic analysis and laddering theory – were used to analyse qualitative data on risk management. The data – in the form of interview transcripts – were obtained from an in-depth survey of how risk is perceived by UK business. Using the NVivo software, four main themes were identified: concepts of risk, risk management, roles in risk management and data encryption. From these, inferential codes on attributes, consequences and values were used in conjunction with means–end theory to help explain the motivations behind the competing core values of the participating organisations.
Original languageEnglish
Title of host publicationStatistical, Stochastic and Data Analysis Methods and Applications
Place of PublicationAthens
PublisherInternational Society for Art, Science and Technology
Publication statusPublished - 2016


  • Hierarchy value map, Implication matrix, Laddering theory, Risk management


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