The Internet of Everything
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ItemUnlashing the Next Wave of Business Models in the Internet of Things Era: New Directions for a Research Agenda based on a Systematic Literature Review( 2020-01-07)Pervasive digitization of products and services open additional avenues for the next wave of business model opportunities. Most of firms are aware of the monetization potentials that the Internet of Things has to offer, however, they still struggle to create a compelling value propositions. Despite the attention of both research and practice onto business models and the IoT, only few concepts and research endeavors regarding their intersections exist. This paper tends to unleash the specificity of the business models within the IoT technologies, and motivate new, ecosystem, perspective for upcoming research. Following a rigorous methodology for a comprehensive and systematic literature review, we develop five literature clusters related to the IoT-driven business model research, evaluate and analyze the papers within clusters, and finally identify the gaps and propose directions for future research.
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ItemWearables as Augmentation Means: Conceptual Definition, Pathways, and Research Framework( 2020-01-07)Wearables pervade many facets of human endeavor, thanks to their integration into everyday artifacts and activities. From fitness bands to medical patches, to augmented reality glasses, wearables have demonstrated immense potential for intelligence augmentation (IA) through human-machine symbiosis. To advance an understanding of how wearables engender IA and to provide a solid foundation for grounding IS research on wearables and IA, this study draws from Engelbart’s framework for augmenting human intellect to: (1) develop a conceptual definition of wearable technology as a digitally enhanced body-borne device that can augment a human or non-human capability by affording context sensitivity, mobility, hands-free interaction, and constancy of operation, (2) extend Engelbart’s framework to the sociomaterial domain to account for the emergence of augmented capabilities that are neither wholly social nor wholly material, and (3) propose and elaborate four augmentation pathways —complementation, supplementation, mediation, and mutual constitution—to facilitate IA research.
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