Figure 5
The structure has 3 levels: first order codes and representative quotes, second order themes, and overarching dimensions. Test software functioning via synthetic data connects to Application of synthetic data. Assisting in the generation and validation of synthetic data connects to Synthetic data generation. Protocol to manually check the data produced connects to Validation and filtering of synthetic data. These 3 themes connect to Synthetic data generation. Gen A I is a colleague in code production connects to Collaboration with Gen A I. This tool facilitates an innovation-oriented ambience connects to Driving organisational innovation. Gen A I helps in communicating operational results connects to Increase in productivity and workflow optimisation. These 3 themes connect to Gen A I as a driver for knowledge enhancement. Explaining results in formation sessions connects to Ethical use. Human supervision is still necessary due to the hallucinations and complex task resolution, with correct use of prompt engineering required, connects to Human supervision. Integration mediated by actors’ comprehension connects to Managing risk of using Gen A I. These 3 themes connect to Human governance in Gen A I mediated knowledge processes. Finding the link between phenomena through Gen A I connects to Identify hidden connections. Mapping traffic and anomaly detection connects to Pattern recognition. These 2 themes connect to Emergence of Gen A I novel insights. Decrease in the process of emulating the best ones connects to Dependence. Preventing knowledge stagnation by fostering independent thinking connects to Loss of skills. Sometimes lacking deep context connects to Issue on output. These 3 themes connect to Risk of introducing Gen A I in knowledge practices.Second part of the inductive coding tree developed, regarding the interactions between human-driven knowledge processes beyond SECI model
Source: Authors’ own work