Discovering IoT implications in business and management: a computational thematic analysis

Mohammad Soltani Delgosha, Nastaran Hajiheydari, Mojtaba Talafidaryani

Research output: Contribution to journalArticlepeer-review


IoT as a disruptive technology is contributing toward ground-breaking experiences in contemporary enterprises and in our daily life. Rapidly changing business environment and phenomenally evolving technology enhancement necessitate a robust understanding of IoT implications from business and management perspective. The current study benefits from an explanatory sequential mixed-method approach to represent and interpret the inductive topical framework of IoT literature in business and management with emphasis on business model. Bayesian statistical topic model called latent Dirichlet allocation is employed to conduct a comprehensive analysis of 347 related scholarly articles to reveal the topical composition of related research. Further, we followed a thematic analysis for interpreting the extracted topics and gaining in-depth qualitative insights. Theoretical implications with emphasizing on research agenda for future study avenues and managerial implications based on influential themes are provided.
Original languageEnglish
Article number102236
Early online date26 Feb 2021
Publication statusE-pub ahead of print - 26 Feb 2021


  • Internet of things
  • Topic modelling
  • Business model
  • Thematic analysis
  • Business and management
  • Future research


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