Industrial Internet of Things industrial subset of the IoT. The industrial internet of things will enable the creation of new business models by improving productivity, exploiting analytics for innovation, and transforming the workforce. The potential of growth by implementing IIoT is predicted to generate $15 trillion of global GDP by 2030. While connectivity and data acquisition are imperative for IIoT, they are not the end goals, but rather the foundation and path to something bigger. Of all the technologies, predictive maintenance is an "easier” application, as it is applicable to existing assets and management systems. Intelligent maintenance systems can reduce unexpected downtime and increase
Online community and interest. For an online community to flourish there needs to be consistent participation, interest, and motivation. Research conducted by Helen Wang applied the Technology Acceptance Model to online community participation. Internet self-efficacy positively predicted perceived ease of use. Research found that participants' beliefs in their abilities to use the internet and web-based tools determined how much effort was expected. Community environment positively predicted perceived ease of use and usefulness. Intrinsic motivation positively predicted perceived ease of use, usefulness, and actual use. The technology acceptance model positively predicts how likely it is that an individual will participate in an online