Abstract
Online social media posts have been on the increase in recent years. These social media posts provide good measures for customer sentiment to the automotive industry. The consumer choices in the automotive industry continue to increase as time progresses. Research for measuring the innovation in the automotive industry is lacking. Specifically, measuring and analyses of innovation as it relates to the social media customer sentiments and related measurements are lacking. Initial research has been conducted that has yielded a body of knowledge in the collection of customer sentiment data in the automotive industry. This is a comprehensive systematic literature review of the use of social media posts related to customer sentiment in the automotive industry. This will be conducted through a model driven approach utilizing a quantitative / statistical modeling process. We will make recommendations based on the presentation and analysis of the research articles in the systematic literature review. The recommendations will point toward correcting the gaps in the area.
Recommended Citation
Heiden, Christopher, "Analysis of Social Media Analytics in Automotive Manufacturing" (2020). MWAIS 2020 Proceedings. 21.
https://aisel.aisnet.org/mwais2020/21