The Internet of Everything: Converging the Internet of People (IoP) and the Internet of Things (IoT)

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    Industry 4.0 Implementation: Novel Issues and Directions
    ( 2022-01-04) Eley, Tc ; Lyytinen, Kalle
    Industry 4.0 (I4.0) is an emerging industrial paradigm yet to achieve its full potential. One research gap is understanding its unique implementation challenges. We highlight unattended issues in implementing I4.0 technologies by drawing on information systems implementation research. I4.0 is a weakly structured system, which requires users to discover then share affordances and later negotiate shared rules through joint regulation. This calls for different ways of implementing I4.0 when compared with earlier highly structured technologies such as MRP, which demanded user compliance. We develop a 2x2 framework of I4.0 implementation issues defined by (1) vertical or horizontal integration and (2) the capacity for the components of I4.0 systems to learn autonomously. We posit that these issues form a new frontier of implementation research in the next decade.
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    Acceptance of Wearable Technology: A Meta-Analysis
    ( 2022-01-04) Peng, Chenming ; Xi, Nannan ; Hong, Zhao ; Hamari, Juho
    Knowing what factors drive wearable technology adoption can help companies succeed in the competitive market of wearables. In this study, we conduct a meta-analysis on the relationships of technology acceptance of wearable technology based on the extant corpus (142 effect sizes from 44 samples collected in 11 countries). The results confirm the basic expectation that the core constructs of technology acceptance models as well as reveal that perceived enjoyment and usefulness are the most important to the adoption of wearables. However, more interestingly, a granular analysis of moderating effects shows that cultural factors including uncertainty avoidance, future orientation and humane orientation can significantly moderate the relationships between different determinants and wearable adoption. In addition, compared with other types of smart wearables, the users of smartwatches would place more weight on perceived self-expressiveness. These findings offer insights for future wearables-related research and also have practical implications for designing and developing successful wearable products.
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