Browsing by Author "Cui, Li"

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    Digitalization and network capability as enablers of business model innovation and sustainability performance: The moderating effect of environmental dynamism
    Li, Ying; Cui, Li; Wu, Lin; Lowry, Paul Benjamin; Kumar, Ajay; Tan, Kim Hua (2023)
    In the face of relentless global competition and regulatory pressures, the imperative for firms to digitally transform has become critical. This is particularly salient for Chinese manufacturing firms as they strive for sustainability, a multidimensional construct comprising both economic and environmental performance. Leveraging dynamic capabilities theory, this study aims to unravel the intricate interplay between digitalization, network capability, business model innovation (BMI), and environmental dynamism in shaping a firm’s sustainability performance. Our research is driven by a compelling question: How do digitalization and network capabilities impact firms’ sustainability performance, and what roles do BMI and environmental dynamism play in this relationship? To answer this question, we employed a robust survey-based methodology encompassing 1,600 Chinese manufacturing firms, yielding 255 completed and validated responses. The findings reveal that network capability mediates the influence of digitalization on two types of BMI—novelty-centered and efficiency-centered. Further, these forms of BMI act as mediators between digitalization and network capability, and the two dimensions of sustainability: economic and environmental performance. Notably, environmental dynamism serves as a double-edged sword. It negatively moderates the impact of digitalization on efficiency-centered BMI, but positively moderates the influence of network capability on the same. Our study offers nuanced theoretical and practical implications. It extends dynamic capabilities theory by elucidating how digital and network capabilities can be leveraged for sustainable outcomes via business model innovation. Moreover, the research provides managerial insights, particularly for Chinese manufacturing firms, on navigating the complex landscape of digital transformation toward sustainability. Considering these insights, we recommend that firms prioritize network capabilities and strategically innovate their business models to harness the full potential of digital transformation. Simultaneously, organizations should be cognizant of the environmental dynamism within which they operate, as it can both hinder and enable their journey toward sustainability.
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    Early preclinical detection of prions in the skin of prion-infected animals
    Wang, Zerui; Manca, Matteo; Foutz, Aaron; Camacho, Manuel V.; Raymond, Gregory J.; Race, Brent; Orru, Christina D.; Yuan, Jue; Shen, Pingping; Li, Baiya; Lang, Yue; Dang, Johnny; Adornato, Alise; Williams, Katie; Maurer, Nicholas R.; Gambetti, Pierluigi; Xu, Bin; Surewicz, Witold; Petersen, Robert B.; Dong, Xiaoping; Appleby, Brian S.; Caughey, Byron; Cui, Li; Kong, Qingzhong; Zou, Wen-Quan (2019-01-16)
    A definitive pre-mortem diagnosis of prion disease depends on brain biopsy for prion detection currently and no validated alternative preclinical diagnostic tests have been reported to date. To determine the feasibility of using skin for preclinical diagnosis, here we report ultrasensitive serial protein misfolding cyclic amplification (sPMCA) and real-time quaking-induced conversion (RT-QuIC) assays of skin samples from hamsters and humanized transgenic mice (Tg40h) at different time points after intracerebral inoculation with 263K and sCJDMM1 prions, respectively. sPMCA detects skin PrPSc as early as 2 weeks post inoculation (wpi) in hamsters and 4 wpi in Tg40h mice; RT-QuIC assay reveals earliest skin prion-seeding activity at 3 wpi in hamsters and 20 wpi in Tg40h mice. Unlike 263K-inoculated animals, mock-inoculated animals show detectable skin/brain PrPSc only after long cohabitation periods with scrapie-infected animals. Our study provides the proof-of-concept evidence that skin prions could be a biomarker for preclinical diagnosis of prion disease.