Did Class 1 and Class 2 Aminoacyl Trna Synthetases Descend from Genetically Complimentary, Catalytically Active ATP-Binding Motifs?

The Internet of Things is widely regarded as one of the most disruptive technologies as it inte-grates smart physical objects into the networked society and digital value networks. Today, the Internet of Things has the potential to transform business-to-customer interactions enabled by smart things. Remote patient monitoring, predictive maintenance, and automatic car repair are just a few examples of evolving business-to-thing (B2T) interactions. However, the Internet of Things remains a space low on theoretical investigations. Complementing the tech-nical/engineering focus on the Internet of Things, we developed and evaluated a taxonomy of B2T interaction patterns, building on sociomateriality as justificatory knowledge. We also demonstrated the taxonomy’s applicability and usefulness based on simple and complex real-life objects (e.g., Nest, RelayRides, Uber). Our taxonomy contributes to the descriptive knowledge related to the Internet of Things, as it enables the classification of B2T interactions, providing the basis for sense-making research and early theory-led design. When combining the weak and the strong form of sociomateriality as justificatory knowledge, we also found that the Internet of Things enables and requires a new perspective on material agency, treating smart things as independent actors