A dynamic model based on text mining and soft methods to determine the most important key factors of e-business models

Abstract

The business model is an important factor in the competitive advantage of companies, and companies need to recreate their business model by changing the business environment due to changes in technology and communication. The current research aims to design a dynamic model based on text mining and soft methods to determine the most important key factors of electronic business models. This research is based on the text mining method and using the system dynamics modeling approach. In order to extract the key factors, the text mining of 779 articles of the last ten years from the world's authoritative databases has been examined. After examining the experts and selecting 17 key factors from among the extracted factors, in order to investigate the causal relationships between the key factors, the DEMATEL technique was used and the DEMATEL matrix was completed by the experts, and finally, the dynamic model of the research was drawn using Vensim software. The most influential causal factor is "Internet of Things" followed by "blockchain and cloud processing", and the most impressionable disabling factor is "provided value in the business". Also, the most influential factor on all factors was "nature of the media" and the most impressionable factor among the set of factors was "type of used technology ".

Keywords

• e-business model
• text mining
• dematel
• dynamic modeling