Browsing by Author "Chen, Jin"

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    Soft Ultrathin Electronics Innervated Adaptive Fully Soft Robots
    (Wiley, 2018) Wang, Chengjun; Sim, Kyoseung; Chen, Jin; Kim, Hojin; Rao, Zhoulyu; Li, Yuhang; Chen, Weiqiu; Song, Jizhou; Verduzco, Rafael; Yu, Cunjiang
    Soft robots outperform the conventional hard robots on significantly enhanced safety, adaptability, and complex motions. The development of fully soft robots, especially fully from smart soft materials to mimic soft animals, is still nascent. In addition, to date, existing soft robots cannot adapt themselves to the surrounding environment, i.e., sensing and adaptive motion or response, like animals. Here, compliant ultrathin sensing and actuating electronics innervated fully soft robots that can sense the environment and perform soft bodied crawling adaptively, mimicking an inchworm, are reported. The soft robots are constructed with actuators of open‐mesh shaped ultrathin deformable heaters, sensors of single‐crystal Si optoelectronic photodetectors, and thermally responsive artificial muscle of carbon‐black‐doped liquid‐crystal elastomer (LCE‐CB) nanocomposite. The results demonstrate that adaptive crawling locomotion can be realized through the conjugation of sensing and actuation, where the sensors sense the environment and actuators respond correspondingly to control the locomotion autonomously through regulating the deformation of LCE‐CB bimorphs and the locomotion of the robots. The strategy of innervating soft sensing and actuating electronics with artificial muscles paves the way for the development of smart autonomous soft robots.
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    Who do you take to tango? Examining pairing mechanisms between underwriters and initial public offering firms in a nascent stock market
    (Wiley, 2022) Zhang, Yan Anthea; Chen, Jin; Li, Haiyang; Jin, Jing
    Previous studies on initial public offerings (IPOs) in mature stock markets have documented that high-reputation underwriters primarily work with high-quality firms and vice versa—that is, they are paired through a quality-matching mechanism. We propose that in a nascent stock market, a pricing mechanism may also play a role, through which pricing (the underwriting fee) sets the pairing. We examine these two mechanisms in the context of China's ChiNext stock exchange, which was launched in 2009 and experienced dramatic regulatory improvements in 2012–2013. With data on IPOs in 2009–2017, we find evidence to support the pricing mechanism's effect before the regulatory improvements and the quality-matching mechanism's effect after the improvements. We contribute to the literature by developing an evolutionary view on the pairing mechanisms between important capital market participants. Managerial Summary In a mature stock market, underwriter reputation signals the underlying quality of initial public offering (IPO) firms to external investors because high-reputation underwriters primarily work with high-quality IPO firms and vice versa. We find that in a nascent stock market before the market experiences regulatory improvements, underwriters and IPO firms are paired through a pricing mechanism. That is, underwriters with higher reputation charge higher underwriting fees, and IPO firms with lower quality pay higher fees. Since the pricing mechanism rather than the quality-matching mechanism sets the pairing, underwriter reputation does not have a signaling effect. Instead, we find that higher underwriting fees signal lower quality of IPO firms. Our findings shed important insights on how market participants are paired in other nascent markets, nascent technology fields and industries.