The thesis is about ‘How does the predictive logic of AI-powered operating models change a firm’s business model?’, this subject is studied using a systematic literature review, thus no empirical research is done, only a summary of the current literature body. It is industry wide, so quite broad, and really only focuses how business models in general change, my professor finds it important that he can use this research as a foundation for his PhD students.
DONE:
– The sliterature review (I can send the selection of 59 articles)
– The introduction
– The methodology
TO DO:
– Introduction (+/- additional 500 words)
– Theoretical framework ( +/- 4000 words)
– Here the development of literature on artificial intelligence has to be described, additionally the development of literature on business model: value creation, value delivery, value capture (I choose the business model innovation literature (see, Foss and Saebi, 2017; Teece, 2010)). Finally, the literature on the two combined can be described, if fitting. PS: this doesn’t have to be based on the 59 selected articles, this is separate.
– Results (+/- 6000 words)
– Here a thematic knowledge map (structure) based on analysis of the 59 selected articles, using the business model innovation perspective (value creation, value delivery, value capture) should be represented, which each part representing a part of the business model and how it has been changed by artificial intelligence.
– Discussion (+/- 2000 words)
– My professor is mainly focused on original new avenues for future research, so this should be the focus
– Conclusion (+/- 1500 words)
NOW: 3000/18000 words
PS: reading the introduction and methodology can be very helpful to better understand this study
