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Facing the urgent demand of medical devices for COVID-19 treatment, many automakers have recently begun manufacturing ventilators, even though they are inefficient in production and uninformed of demand variability. To help them, some incumbent ventilator manufacturers have chosen to share knowledge, such as production techniques and demand information. Clearly, the incumbent ventilator manufacturers are fulfilling social responsibility, but is their knowledge sharing rewarding, especially when the automakers are entrant rivals? If possible, are win-win situations in the sense of social responsibility and firms' profitability identifiable? In this work, we develop a game-theoretic model in which an incumbent and an entrant ventilator manufacturer engage in two-dimensional competition in production investment and sales volume. We examine the incumbent manufacturer's profitability with and without knowledge sharing by formulating the tradeoffs among supply expansion, intensified competition, and the entrant's production efficiency improvement and demand variance reduction. We identify both "win-win" and "lose-lose" situations for the two competing manufacturers. Specifically, we find that free knowledge could be harmful for the entrant manufacturer, but the incumbent manufacturer benefits from knowledge sharing when market competition is intense, or when market competition is mild but the production investment efficiency varies.
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http://dx.doi.org/10.1111/risa.13839 | DOI Listing |
Alzheimers Dement
September 2025
LuMind IDSC Foundation, Woburn, Massachusetts, USA.
Recent innovations in Alzheimer's disease (AD) treatment highlight critical gaps in knowledge about how to support healthy aging of adults with Down syndrome (DS). RAND researchers updated demographic and epidemiological evidence about the DS population to assess the impact of increased investment in treatment innovations for DS-associated Alzheimer's disease (DS-AD). They estimated life expectancy at birth in 2020 to be 55 years, with ≈ 5 years of DS-AD.
View Article and Find Full Text PDFPNAS Nexus
September 2025
Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, Leipzig 04103, Germany.
Cultural transmission across generations is key to cumulative cultural evolution. While several mechanisms-such as vertical, horizontal, and oblique transmission-have been studied for decades, how these mechanisms change across the life course, beyond childhood, remains unclear. Furthermore, it is under-explored whether different mechanisms apply to distinct learning processes: long-term learning-where individuals invest time and effort to acquire skills-and short-term learning-where individuals share information of immediate use.
View Article and Find Full Text PDFJ Vet Diagn Invest
September 2025
Biology Department; Faculty of Sciences, Umm Al-Qura University, Makkah, Saudi Arabia.
Lumpy skin disease (LSD) is a viral disease that affects livestock and is caused by the lumpy skin disease virus (LSDV). An outbreak of LSD in any country can lead to acute economic damage for livestock owners. The significance of prompt and accurate diagnosis in managing this viral disease cannot be overstated.
View Article and Find Full Text PDFJ Environ Manage
September 2025
College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, PR China. Electronic address:
This study explores the impact of environmental investment on green innovation in heavily polluting enterprises using data from Chinese listed firms (2010-2022). Theoretical analysis based on the neoclassical growth model suggests that environmental investment fosters green innovation. Empirical results confirm this positive effect, although its strength varies with internal and external factors.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Economics, Cornell University, Ithaca, United States of America.
In this paper, we study the impact of momentum, volume and investor sentiment on U.S. tech sector stock returns using Principal Component Analysis-Hidden Markov Model (PCA-HMM) methodology.
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