The field of academic research on corporate sustainability management has gained significant

sophistication since the economic growth has been associated with innovation. In this paper,

we are to show our research project that aims to build an artificial intelligence-based neurofuzzy

inference system to be able to approximate company’s innovation performance, thus

the sustainability innovation potential. For this we used an empirical sample of Hungarian

processing industry’s large companies and built an adaptive neuro fuzzy inference system.

Business Process mapping (BP mapping) is important for a company to identify their activities. Previous research suggests several approaches for process identification and BP mapping, which would be easier if the company had already implemented a computer-based information system. The research presented in this paper has the purpose of providing an alternative method for BP mapping especially for the company that does not implement the computer-based information system. A proposed method is using job description documents that the company had to identify elements needed to perform BP mapping which are actor, process, document, and flow of documents. A Natural Language Process (NLP) which is text mining method is used for mining job documents to identify those elements that exist in each job position. To illustrate the applicability of the proposed method, samples of job descriptions of 15 companies are taken. It shows that the proposed method can be applied.