We outline the process and use of sentiment analysis to interpret consumer-based social media posts in a way that can provide an advantage for supply chain businesses. The development of consumer bodies who are interested in and comment on products are important to understand and model the process. Powered by AI development services , sentiment analysis offers supply chain professionals protection against malice and threat to firms that do opt to use wild data. We examine the potential that exists for sentiment analysis to unshackle supply management decisions from collaborative supply-chain-relationships. Also, this blog post highlights some risks attached to sentiment analysis and expresses several areas where further research is required.
Supply chain and social media:
It is complex socio-technical systems where both technical and social factors play important roles. The technical factors are system dominated and deal with technological and supply chain structural issues such as logistics, information systems, and supply chain performance (Li et al. 2015) While the technical factors are dealt with by formal mechanisms set up by organizations, the social factors such as reciprocity and mutual trust relate to the social system of the supply chain.
It has emphasized topics such as supply chain modeling issues that generally relate to the incorporation of the latest available technology in this area. Moreover, with opportunities for improvement in supply chain performance via breakthrough technical improvements are on a decline, the focus on enhancing supply chain performance by improving relationships among supply chain partners is on the rise. Unfortunately, there is scant literature on social media usage –supply chain links. Some studies have examined the impact of social media usage on supply chain events to develop contexts for these events and to build relationships between supply chain partners (e.g. O’leary 2011). In particular, we investigate whether social media usage of various supply chain partners is associated with supply chain performance.
Consumer interest leading to discussions
Consumers must evaluate and discuss products online. chatbot Development Services