On understanding company perceptions of risk – a text mining application

Zhuopeng Jiang, Jim Freeman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 was perceived by the industry. 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 participating organisations.
Original languageEnglish
Title of host publicationhost publication
Place of PublicationPiraeus
Number of pages10
Publication statusPublished - Jul 2015
Event16th ASMDA 2015 International Conference - Piraeus, Greece
Duration: 30 Jun 20154 Jul 2015


Conference16th ASMDA 2015 International Conference
CityPiraeus, Greece


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


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