ABSTRACT
The actual process of the technologically induced change (i.e. digital transformation) is referred to as “digitalization”, and vague terms like those that “Industry 4.0” are used to describe the necessary and inevitable change to all business sectors because of the evolution and revolution of currently used technologies. This work focuses on the systematical identification of those digital trends for the mining industry by using co-word analysis together with text mining algorithms from expert articles. Network analyses are used to investigate the relations between the significant trends. Furthermore, a method to detect the implementation level of individual trends in active mines is introduced. The methodology was able to identify a variety of digital trends and their relevance, such as “automation” and basic technologies such as “big data”, “internet of things”, “artificial intelligence” and “machine learning” which can be used as orientation points for future digital transformation processes.
