Review of Discussions on Internet of Things (IoT): Insights from Twitter Analytics

User generated content in the social media platforms are being considered as an important source for information about consumers and other emerging trends by the businesses. Using Twitter analytics, the paper presents insights on trends and discussions about the Internet of Things (IoT). Using relevant hashtags, 40,387 tweets were collected in early 2016. The analysis had followed three major approaches: descriptive analysis, content analysis and network analysis. The tools R and NodeXL were used for the analysis. The findings showed major themes like business concerns, scope of applications, security, emerging smart technologies and manufacturing. The sentiments of emotions and polarity differed across these themes. The top individual and industrial influencers were identified. The analysis also detected the highly-associated words and hashtags, and different user communities and how they are connected. Business implications of the findings and limitations are also elaborated. KeywoRDS Community, Content Analysis, Descriptive Analysis, Emotion, Hashtag, Information Management, Internet of Things, Network Analysis, NodeXL, Sentiment, Social Media Analytics, Twitter Analytics INTeRNeT oF THINGS, SoCIAL MeDIA, AND BUSINeSS The term, Internet of Things (IoT) is no more an exclusive term among the technological elite circles, but have started appearing in the popular media mediums. As the usage of Internet is exploding in all possible devices including every day ones, almost all technological businesses are investing to develop products based on IoT and its services. A Consortia have been formed to define the framework and standards for all things related to IoT (Wortmann & Flüchter, 2015). IoT broadly refers to the networked interconnection of day to day objects that are often equipped with ubiquitous intelligence (Xia et al., 2015). It is a network of tangible objects – devices, wearables, vehicles, etc. with sensors, software and network connectivity, which facilitate the collection and exchange of data between the