Internet of Everything

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    ‘What Have We Learned from Market Design?’ Blockchain and The Conditions for a Well-Functioning Market
    (2023-01-03) Park, Andrew; Tarry, Liam; Mccarthy, Ian; Heilgenberg, Kerstin
    Blockchain technologies, specifically those related to cryptocurrencies and non-fungible tokens (NFTs), have recently garnered significant public interest. Blockchain has been lauded as potentially transformative across various industries, including decentralized finance, supply chain management, healthcare, file storage, and more. However, it has also been the source of much investor angst, evidenced by numerous media headlines reporting instances of fraud and catastrophic asset losses. In this paper, we examine whether the current incarnations of blockchain technologies provide a well-functioning market to its participants. We apply Roth’s market design framework to evaluate whether blockchain marketplaces provide safety, thickness, low congestion, and low repugnance. We find that blockchain applications in their current state do not represent a well-functioning market. We conclude by suggesting additional research avenues and explore whether they can still provide value to organizations even in their suboptimal market state.
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    Introduction to the Minitrack on Internet of Everything
    (2023-01-03) Kietzmann, Jan; Beer, Jeremy; Schau, Hope
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    Do IoT Users Trade off their Information Privacy?
    (2023-01-03) Oh, Jungjoo; Kwon, Soonbeom; Lee, Hwansoo
    The advent of the Internet of Things (IoT) has not only improved people’s quality of life but also raised concerns about information privacy. Although several studies have been conducted regarding information privacy concerns, there has not been sufficient discussion of the information privacy trade-off behavior in the IoT environment. Because previous studies only indirectly measured the information privacy trade-off behavior, the understanding of the behavior itself or its cause is limited. To address this issue, this study explored information privacy trade-off behavior in more depth using a large-scale sample and two-step analysis. Both panel data (23,724 samples for three years) and cross-sectional data (350 samples) were used in the analysis. The analysis results confirmed the existence of the information privacy trade-off for IoT users. Furthermore, it was found that the trade-off is associated with the social value of IoT devices and that men with IoT experience predominantly have strong trade-off behavior.