KIBS Innovative Entrepreneurship Networks on Social Media

TL;DR

This study uses text mining and sentiment analysis on social media posts to explore innovative entrepreneurship in Knowledge Intensive Business Services (KIBS), revealing gaps between social media potential and actual entrepreneurial behaviors.

Contribution

It applies advanced data analysis techniques to social media data to understand entrepreneurial dynamics in KIBS, an area with limited prior research.

Findings

Identifies a gap between perceived social media potential and actual entrepreneurial behaviors.

Analyzes 23,483 social media posts from Spanish and Italian KIBS companies.

Uses clustering and topic modeling to interpret data.

Abstract

The analysis of the use of social media for innovative entrepreneurship in the context has received little attention in the literature, especially in the context of Knowledge Intensive Business Services (KIBS). Therefore, this paper focuses on bridging this gap by applying text mining and sentiment analysis techniques to identify the innovative entrepreneurship reflected by these companies in their social media. Finally, we present and analyze the results of our quantitative analysis of 23.483 posts based on eleven Spanish and Italian consultancy KIBS Twitter Usernames and Keywords using data interpretation techniques such as clustering and topic modeling. This paper suggests that there is a significant gap between the perceived potential of social media and the entrepreneurial behaviors at the social context in business-to-business (B2B) companies.